An over view of the maturing of Energy Management from an ad hoc practice to a defined Systems Engineering Practice. Examples of method, planning, earned value management, and metrics are included.
With the proliferation of portable computing devices, power consumption has become a major concern. Power consumption has posed a serious challenge to the high performance computing systems. Power aware computing is to minimize energy requirements for computation. The main objective of power aware computing is to conserve energy for routing messages from source to destination. This paper provides a brief introduction to power aware computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa "Power Aware Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29395.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29395/power-aware-computing/matthew-n-o-sadiku
On Jan. 6, 2011, Chris King (president of eMeter Strategic Consulting) spoke on a panel at CES 2011 about consumer perspectives on the smart grid
He outlines three types of consumers who might be early adopters of options created by the smart grid: frugal consumers, sustainability promoters, and technophiles.
Focus On Energy It Presentation 2009 12 02JeremyMathews
The document summarizes Focus on Energy, a Wisconsin program that provides services and incentives to help businesses improve energy efficiency. It discusses rising energy costs in data centers and opportunities to reduce usage through virtualization, power management, and working with Focus on Energy experts. The program helps businesses across many sectors save over $120 million annually on energy costs through technical assistance, cash incentives, and partnerships with energy solution providers.
I wrote this paper (16pg report) as a final capstone to complete my independent research requirement. This paper is a literary analysis focusing on many important factors for reducing power and environmental waste and adopting Green Computing methods in general and in regards to practically applying this information to a real world situation. This paper will take a look at several green initiatives currently under as well as future outlooks. The intention of this research is to inevitably gain a base of knowledge in order to develop a green plan for my department at Student Affairs Marketing and to educate our employees on what they can do to improve upon or impact in the ever growing field of green computing and discuss our options.
Along with the paper, I came up with a Green policy for my previous employer that they made a permanent plan. After all my work was complete, I had to present my research and findings to my class and the faculty of the department.
This document explores sustainable funding models for solar workforce training programs as public funding decreases. It notes rapid growth in the solar industry and jobs, but limited and declining public funding for associated training. It proposes three new funding concepts: 1) Public-private partnerships to jointly fund training; 2) Revolving loan funds for trainees that are repaid after employment; and 3) Crowdsourcing training funding from industry. The document aims to facilitate a transition from public to private funding that maximizes efficient allocation of funds to training providers.
With the proliferation of portable computing devices, power consumption has become a major concern. Power consumption has posed a serious challenge to the high performance computing systems. Power aware computing is to minimize energy requirements for computation. The main objective of power aware computing is to conserve energy for routing messages from source to destination. This paper provides a brief introduction to power aware computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa "Power Aware Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29395.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29395/power-aware-computing/matthew-n-o-sadiku
On Jan. 6, 2011, Chris King (president of eMeter Strategic Consulting) spoke on a panel at CES 2011 about consumer perspectives on the smart grid
He outlines three types of consumers who might be early adopters of options created by the smart grid: frugal consumers, sustainability promoters, and technophiles.
Focus On Energy It Presentation 2009 12 02JeremyMathews
The document summarizes Focus on Energy, a Wisconsin program that provides services and incentives to help businesses improve energy efficiency. It discusses rising energy costs in data centers and opportunities to reduce usage through virtualization, power management, and working with Focus on Energy experts. The program helps businesses across many sectors save over $120 million annually on energy costs through technical assistance, cash incentives, and partnerships with energy solution providers.
I wrote this paper (16pg report) as a final capstone to complete my independent research requirement. This paper is a literary analysis focusing on many important factors for reducing power and environmental waste and adopting Green Computing methods in general and in regards to practically applying this information to a real world situation. This paper will take a look at several green initiatives currently under as well as future outlooks. The intention of this research is to inevitably gain a base of knowledge in order to develop a green plan for my department at Student Affairs Marketing and to educate our employees on what they can do to improve upon or impact in the ever growing field of green computing and discuss our options.
Along with the paper, I came up with a Green policy for my previous employer that they made a permanent plan. After all my work was complete, I had to present my research and findings to my class and the faculty of the department.
This document explores sustainable funding models for solar workforce training programs as public funding decreases. It notes rapid growth in the solar industry and jobs, but limited and declining public funding for associated training. It proposes three new funding concepts: 1) Public-private partnerships to jointly fund training; 2) Revolving loan funds for trainees that are repaid after employment; and 3) Crowdsourcing training funding from industry. The document aims to facilitate a transition from public to private funding that maximizes efficient allocation of funds to training providers.
The document discusses the issues of global climate change and the role that information and communication technologies (ICT) can play in mitigating climate change impacts. It notes that climate change is occurring rapidly, non-uniformly, and is harming the environment. ICT has the potential to significantly reduce carbon emissions through applications like smart buildings, transportation and electrical grids. However, ICT must also improve its own efficiency to reduce emissions, and many organizations will soon need to report and offset their greenhouse gas emissions.
Saving energy is important for reducing costs, mitigating climate change, and ensuring sustainable energy solutions. Customized energy solutions are needed to help organizations and communities track energy usage and reduce waste. New technologies like smart meters, solar panels, efficient appliances, and insulated windows can provide effective energy saving solutions. Further collaboration between operational technology and information technology is needed to develop analytics-driven energy management services and policies to significantly reduce carbon footprints and energy losses through improved efficiency.
Run through of Resourceful and Sustainable Computing Source: Green ComputingIRJET Journal
1. The document discusses strategies for making computing more environmentally sustainable, referred to as "green computing."
2. It outlines initiatives by companies like Dell, IBM, VMware, and Sun to improve energy efficiency in data centers and devices. This includes utilizing virtualization, consulting services, and more energy-efficient hardware.
3. The document also discusses designing computers with recyclability and reduced environmental impact in mind. This involves substituting toxic materials like lead with more sustainable alternatives and making repair and upgrading easier to extend product lifetimes.
The document provides an overview of the waste-to-energy industry in the United States, including key facts about market opportunities and technologies. It discusses the types of facilities used, conversion processes like combustion and gasification, inputs and commercial opportunities. The document also profiles companies in the industry and reviews factors like incentives, concerns, costs and the regulatory environment. It aims to give investors an outlook on market trends and potential areas for investment.
This document discusses measures to reduce power outages for the residential sector. It first reviews existing studies on assessing the costs of power outages and energy conservation strategies. It then outlines the objectives of the work, which are to estimate the adverse effects of power outages on residents and propose energy conservation strategies that reduce outages and costs. To achieve this, the author conducted a consumer survey to estimate outage costs based on residents' perceptions and willingness to pay. A mathematical model was also developed relating energy consumption, costs, and outages. The model shows that energy conservation can maximize benefits by reducing consumption and outages. The document evaluates outage costs using both the survey approach and mathematical modeling.
The document discusses Green-IT governance and outlines several key points:
1) There is increasing environmental pressure and external drivers like regulations that are pushing for improved Green-IT governance.
2) Green-IT governance can help organizations improve decision making, risk mitigation, and sustainability across financial, legal and environmental dimensions.
3) Many standards, frameworks and reporting requirements have been established globally and nationally to promote Green-IT practices and transparency around areas like carbon emissions and energy management.
This document discusses how complex engineering calculations are necessary to solve modern civil and structural engineering challenges related to sustainability, environmental protection, and intelligent infrastructure design. It provides examples of projects that require sophisticated modeling and analysis, including the Shanghai Tower building designed to withstand environmental conditions, efforts to quantify stream bank erosion to protect water resources in Virginia, and the use of intelligent infrastructure to support sustainable development through Australia's foreign aid program. Accurate system modeling and calculations are critical to meeting these challenges.
The ever increasing demand of computing power has led to the development of extremely large systems that consist of millions of components. Sustainable large scale computing systems can extend themselves to extreme scales. Both extreme and exascale computing defy the common wisdom of HPC and are regarded as unorthodox, but they could turn out to be indispensable necessities in the near future 1 . This paper provides a primer on extreme computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa ""Extreme Computing: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21723.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/21723/extreme-computing-a-primer/matthew-n-o-sadiku
This document discusses Pakistan's energy crisis, including its causes like poor planning, politics, and excess consumption. It also covers the effects on people and the economy, as well as recommendations such as improving infrastructure, reducing consumption, developing alternative energy sources, and implementing effective government policies. Major sources of electricity in Pakistan include thermal, hydel, and nuclear power plants operated by organizations like WAPDA and KESC.
Artificial intelligence and machine learning can help analyze large amounts of environmental data to better understand climate change and predict future impacts. AI is used to identify patterns in data from sensors monitoring conditions around the world. This data provides insights into vulnerabilities and helps predict extreme weather events. AI technologies can also optimize renewable energy production and design more energy efficient systems, buildings and consumer products to mitigate climate change. However, training AI models also contributes to carbon emissions which must be addressed.
This document discusses the need for green data centers and provides strategies for making data centers more energy efficient. It notes that while many organizations say they are green, few have specific targets or programs to reduce their carbon footprint. As data center electricity consumption and costs rise, running out of power capacity, cooling capacity, and physical space are major concerns. The document then provides questions to assess a data center's energy efficiency in terms of facilities, IT equipment, and utilization rates. It recommends strategies like optimizing infrastructure utilization and choosing more efficient hardware and cooling options. The goal is to improve the data center infrastructure efficiency metric and lower costs by reducing redundant, underutilized resources.
This document discusses the challenges of managing energy costs for organizations and how energy intelligence software is helping address those challenges. Key points:
1) Managing energy costs is complex due to decentralized decision making, lack of accountability, and not understanding energy consumption patterns. This has led to wasted energy costing $60 billion annually.
2) Events like the 2014 polar vortex and new disclosure laws are driving more interest in controlling energy costs. Energy intelligence software gives organizations visibility into energy usage and costs to reduce waste.
3) Early adopters using energy intelligence software have found it transforms energy into a controllable cost that can be actively managed to reduce expenses. The market for this type of software is growing rapidly.
The changing world of energy is making it increasingly challenging to optimize power reliability, energy costs, and operational efficiency in critical power environments such as
hospitals, data centers, airports, and manufacturing facilities. Utility power grids are getting more dynamic, facility power distribution systems are becoming more complex, and
cyberattacks threaten network stability. More competitive pressures and environmental regulations are pushing expectations for energy efficiency and business sustainability higher than ever. Addressing these challenges requires new
digital tools designed specifically to enable faster response to opportunities and risks related to power system reliability and operations.
Top 10 Products That Save Money - David McDougall, EnerNOCMassRecycle
Presentation delivered at MassRecycle's 4th Annual Green Office / Green Facility Conference, Bentley University, June 15, 2010. Get invited to next year’s conference by signing up to MassRecycle’s free email newsletter at www.massrecycle.org.
The document discusses how increasing focus on sustainable production is driving the need for more energy efficient industrial processes. It examines strategies for improving energy efficiency that focus on equipment, processes, and operator engagement. The document argues that an "energy-aware" distributed control system (DCS) that integrates energy and production data can help industries better understand their energy usage, identify inefficiencies, and implement targeted changes to achieve significant energy savings.
This document discusses developing a new energy management model and platform using CA Technologies' expertise. It outlines trends driving changes in energy management like reducing consumption, using cleaner energy, and seeking additional sources. A new model is needed to address energy demand outpacing supply, limitations of traditional distribution, and improving effectiveness. Key risks include environmental factors, national security, and technology challenges of a distributed architecture. The document proposes CA provide an integrated platform for accounting, metering, governance, infrastructure changes, and customer support to help energy companies, brokers and consumers optimize usage.
The document summarizes Cisco EnergyWise, a new approach from Cisco Systems to managing corporate energy consumption through the enterprise network. Cisco EnergyWise allows organizations to measure, manage, and control the power usage of all devices connected to the corporate network, including both IT and non-IT systems. It provides a way to centrally monitor and optimize energy usage across the entire organization. The architecture is built on Cisco switches and uses the network to distribute commands and aggregate power data from all connected devices. This allows organizations to gain visibility and control over their total energy footprint and costs.
Solar Thermal Hybrid Technology_The Time has Come To Reduce Rising Electricit...Darian Tenace
This document provides an overview of the FIRE AND ICE SOLAR system, a patented solar water heating and heat recovery system. It discusses how the system works to reduce energy costs by using solar energy and waste heat from air conditioners and heat pumps to heat water. Key points include that the system can provide up to 35% reduction in electricity usage, increases air conditioner efficiency, qualifies for tax credits, and pays for itself over time through energy savings. Heat recovery in particular is highlighted as an untapped energy source that can significantly cut costs.
Sustainable IT Lifecycle Innovation ManagementMatt Deacon
Sustainable Lifecycle Innovation Management (SLIM) is a simple but effective aprroach to making efficiency central to IT operations and in moving IT from being a cost centre to an centre for Innovation and lean efficiency
John Laitner discusses how energy efficiency investments can generate net savings, increase jobs, and significantly reduce greenhouse gas emissions. He argues that purposeful efforts are needed to fully tap into the benefits of energy efficiency. If policies promote smart grid technologies and other innovations, energy productivity gains could meet 60% of emission reduction targets while saving money and boosting the economy. Energy efficiency has been the largest source of new energy in the US for decades and offers many untapped opportunities.
Energy Management Impact on Distributed Control Systems (DCS) in Industrial E...Schneider Electric
Today, the pressure is on enterprises to meet environmental targets. The prospect of losing business if sustainability objectives are not met is very real. This is leading to a future where top environmental performers will become market leaders. To remain competitive, companies need to produce goods in an energy efficient manner. This paper examines industrial efficiency improvement measures that focus on equipment, process, and people.
The document discusses the issues of global climate change and the role that information and communication technologies (ICT) can play in mitigating climate change impacts. It notes that climate change is occurring rapidly, non-uniformly, and is harming the environment. ICT has the potential to significantly reduce carbon emissions through applications like smart buildings, transportation and electrical grids. However, ICT must also improve its own efficiency to reduce emissions, and many organizations will soon need to report and offset their greenhouse gas emissions.
Saving energy is important for reducing costs, mitigating climate change, and ensuring sustainable energy solutions. Customized energy solutions are needed to help organizations and communities track energy usage and reduce waste. New technologies like smart meters, solar panels, efficient appliances, and insulated windows can provide effective energy saving solutions. Further collaboration between operational technology and information technology is needed to develop analytics-driven energy management services and policies to significantly reduce carbon footprints and energy losses through improved efficiency.
Run through of Resourceful and Sustainable Computing Source: Green ComputingIRJET Journal
1. The document discusses strategies for making computing more environmentally sustainable, referred to as "green computing."
2. It outlines initiatives by companies like Dell, IBM, VMware, and Sun to improve energy efficiency in data centers and devices. This includes utilizing virtualization, consulting services, and more energy-efficient hardware.
3. The document also discusses designing computers with recyclability and reduced environmental impact in mind. This involves substituting toxic materials like lead with more sustainable alternatives and making repair and upgrading easier to extend product lifetimes.
The document provides an overview of the waste-to-energy industry in the United States, including key facts about market opportunities and technologies. It discusses the types of facilities used, conversion processes like combustion and gasification, inputs and commercial opportunities. The document also profiles companies in the industry and reviews factors like incentives, concerns, costs and the regulatory environment. It aims to give investors an outlook on market trends and potential areas for investment.
This document discusses measures to reduce power outages for the residential sector. It first reviews existing studies on assessing the costs of power outages and energy conservation strategies. It then outlines the objectives of the work, which are to estimate the adverse effects of power outages on residents and propose energy conservation strategies that reduce outages and costs. To achieve this, the author conducted a consumer survey to estimate outage costs based on residents' perceptions and willingness to pay. A mathematical model was also developed relating energy consumption, costs, and outages. The model shows that energy conservation can maximize benefits by reducing consumption and outages. The document evaluates outage costs using both the survey approach and mathematical modeling.
The document discusses Green-IT governance and outlines several key points:
1) There is increasing environmental pressure and external drivers like regulations that are pushing for improved Green-IT governance.
2) Green-IT governance can help organizations improve decision making, risk mitigation, and sustainability across financial, legal and environmental dimensions.
3) Many standards, frameworks and reporting requirements have been established globally and nationally to promote Green-IT practices and transparency around areas like carbon emissions and energy management.
This document discusses how complex engineering calculations are necessary to solve modern civil and structural engineering challenges related to sustainability, environmental protection, and intelligent infrastructure design. It provides examples of projects that require sophisticated modeling and analysis, including the Shanghai Tower building designed to withstand environmental conditions, efforts to quantify stream bank erosion to protect water resources in Virginia, and the use of intelligent infrastructure to support sustainable development through Australia's foreign aid program. Accurate system modeling and calculations are critical to meeting these challenges.
The ever increasing demand of computing power has led to the development of extremely large systems that consist of millions of components. Sustainable large scale computing systems can extend themselves to extreme scales. Both extreme and exascale computing defy the common wisdom of HPC and are regarded as unorthodox, but they could turn out to be indispensable necessities in the near future 1 . This paper provides a primer on extreme computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa ""Extreme Computing: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21723.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/21723/extreme-computing-a-primer/matthew-n-o-sadiku
This document discusses Pakistan's energy crisis, including its causes like poor planning, politics, and excess consumption. It also covers the effects on people and the economy, as well as recommendations such as improving infrastructure, reducing consumption, developing alternative energy sources, and implementing effective government policies. Major sources of electricity in Pakistan include thermal, hydel, and nuclear power plants operated by organizations like WAPDA and KESC.
Artificial intelligence and machine learning can help analyze large amounts of environmental data to better understand climate change and predict future impacts. AI is used to identify patterns in data from sensors monitoring conditions around the world. This data provides insights into vulnerabilities and helps predict extreme weather events. AI technologies can also optimize renewable energy production and design more energy efficient systems, buildings and consumer products to mitigate climate change. However, training AI models also contributes to carbon emissions which must be addressed.
This document discusses the need for green data centers and provides strategies for making data centers more energy efficient. It notes that while many organizations say they are green, few have specific targets or programs to reduce their carbon footprint. As data center electricity consumption and costs rise, running out of power capacity, cooling capacity, and physical space are major concerns. The document then provides questions to assess a data center's energy efficiency in terms of facilities, IT equipment, and utilization rates. It recommends strategies like optimizing infrastructure utilization and choosing more efficient hardware and cooling options. The goal is to improve the data center infrastructure efficiency metric and lower costs by reducing redundant, underutilized resources.
This document discusses the challenges of managing energy costs for organizations and how energy intelligence software is helping address those challenges. Key points:
1) Managing energy costs is complex due to decentralized decision making, lack of accountability, and not understanding energy consumption patterns. This has led to wasted energy costing $60 billion annually.
2) Events like the 2014 polar vortex and new disclosure laws are driving more interest in controlling energy costs. Energy intelligence software gives organizations visibility into energy usage and costs to reduce waste.
3) Early adopters using energy intelligence software have found it transforms energy into a controllable cost that can be actively managed to reduce expenses. The market for this type of software is growing rapidly.
The changing world of energy is making it increasingly challenging to optimize power reliability, energy costs, and operational efficiency in critical power environments such as
hospitals, data centers, airports, and manufacturing facilities. Utility power grids are getting more dynamic, facility power distribution systems are becoming more complex, and
cyberattacks threaten network stability. More competitive pressures and environmental regulations are pushing expectations for energy efficiency and business sustainability higher than ever. Addressing these challenges requires new
digital tools designed specifically to enable faster response to opportunities and risks related to power system reliability and operations.
Top 10 Products That Save Money - David McDougall, EnerNOCMassRecycle
Presentation delivered at MassRecycle's 4th Annual Green Office / Green Facility Conference, Bentley University, June 15, 2010. Get invited to next year’s conference by signing up to MassRecycle’s free email newsletter at www.massrecycle.org.
The document discusses how increasing focus on sustainable production is driving the need for more energy efficient industrial processes. It examines strategies for improving energy efficiency that focus on equipment, processes, and operator engagement. The document argues that an "energy-aware" distributed control system (DCS) that integrates energy and production data can help industries better understand their energy usage, identify inefficiencies, and implement targeted changes to achieve significant energy savings.
This document discusses developing a new energy management model and platform using CA Technologies' expertise. It outlines trends driving changes in energy management like reducing consumption, using cleaner energy, and seeking additional sources. A new model is needed to address energy demand outpacing supply, limitations of traditional distribution, and improving effectiveness. Key risks include environmental factors, national security, and technology challenges of a distributed architecture. The document proposes CA provide an integrated platform for accounting, metering, governance, infrastructure changes, and customer support to help energy companies, brokers and consumers optimize usage.
The document summarizes Cisco EnergyWise, a new approach from Cisco Systems to managing corporate energy consumption through the enterprise network. Cisco EnergyWise allows organizations to measure, manage, and control the power usage of all devices connected to the corporate network, including both IT and non-IT systems. It provides a way to centrally monitor and optimize energy usage across the entire organization. The architecture is built on Cisco switches and uses the network to distribute commands and aggregate power data from all connected devices. This allows organizations to gain visibility and control over their total energy footprint and costs.
Solar Thermal Hybrid Technology_The Time has Come To Reduce Rising Electricit...Darian Tenace
This document provides an overview of the FIRE AND ICE SOLAR system, a patented solar water heating and heat recovery system. It discusses how the system works to reduce energy costs by using solar energy and waste heat from air conditioners and heat pumps to heat water. Key points include that the system can provide up to 35% reduction in electricity usage, increases air conditioner efficiency, qualifies for tax credits, and pays for itself over time through energy savings. Heat recovery in particular is highlighted as an untapped energy source that can significantly cut costs.
Sustainable IT Lifecycle Innovation ManagementMatt Deacon
Sustainable Lifecycle Innovation Management (SLIM) is a simple but effective aprroach to making efficiency central to IT operations and in moving IT from being a cost centre to an centre for Innovation and lean efficiency
John Laitner discusses how energy efficiency investments can generate net savings, increase jobs, and significantly reduce greenhouse gas emissions. He argues that purposeful efforts are needed to fully tap into the benefits of energy efficiency. If policies promote smart grid technologies and other innovations, energy productivity gains could meet 60% of emission reduction targets while saving money and boosting the economy. Energy efficiency has been the largest source of new energy in the US for decades and offers many untapped opportunities.
Energy Management Impact on Distributed Control Systems (DCS) in Industrial E...Schneider Electric
Today, the pressure is on enterprises to meet environmental targets. The prospect of losing business if sustainability objectives are not met is very real. This is leading to a future where top environmental performers will become market leaders. To remain competitive, companies need to produce goods in an energy efficient manner. This paper examines industrial efficiency improvement measures that focus on equipment, process, and people.
IRJET - Technological Progression with Respect to Assessment of Solar and win...IRJET Journal
This document discusses solar and wind hybrid energy systems. It begins by providing background on why hybrid systems are needed as alternatives to traditional fossil fuel-based power due to increasing demand. It then describes how solar and wind hybrid systems work by combining solar panels, wind turbines, and energy storage to generate continuous power. The document outlines the key benefits of these systems as being cost-effective, reliable, and able to generate power as needed. It also discusses some of the challenges with modeling and designing these complex multi-disciplinary technological systems.
Smarter computing in Energy and Utilitiesjabenjamusibm
This document discusses how smarter computing can help energy and utility companies transform their business models and IT infrastructure to address challenges in the changing energy industry. It describes three imperatives guiding industry transformation: transforming the utility network, transforming customer operations, and improving generation performance. Smarter computing is presented as an approach to build IT infrastructure that is designed for data, tuned to tasks, and managed with cloud technologies to enable this industry transformation and deliver business value through improved decision making, efficiency, and flexibility. Examples are given of companies applying this approach.
This document summarizes testimony to be given to the US House of Representatives regarding opportunities and obstacles for utility-scale solar power. It argues that a distributed generation model focusing on smaller solar installations near demand is a more viable approach than large remote installations. It recommends establishing federal incentives and regulations to support net metering, interconnection standards, and rates to accelerate solar development over the next 10 years while technology improvements continue.
High Efficiency - A Green Revolution In Dc PowerEltek
This document discusses how adopting more efficient DC power systems can help reduce electricity usage and carbon emissions for telecommunications companies. It notes that DC power systems, which convert AC to DC, are a major source of energy consumption due to inherent inefficiencies. Modern rectifiers used in these systems have improved and can achieve efficiencies over 90%, but further gains are possible. Adopting higher efficiency rectifiers, like 92% efficient models, can significantly reduce power losses and associated costs. For a sample 8,000W system, 92% rectifiers provide a 21.7% reduction in losses compared to 90% rectifiers. This equates to annual energy and cost savings, as well as reduced CO2 emissions.
Perfection of Self-Consumption Energy in ESS using Optimization Technique (GA)IRJET Journal
This document discusses optimizing self-consumption of energy from a photovoltaic system using an energy storage system and genetic algorithm. It introduces the topic, describes energy storage batteries and their operation, and explains how self-consumption can save money by using locally generated solar energy instead of energy from the grid. The problem is formulated to maximize self-consumption through optimization of the energy storage system using genetic algorithm. Simulation results show that self-consumption reduces strain on the electric grid by decreasing the amount of energy that needs to be transported and purchased from the public grid.
The document describes SmartBuilding Advantage, an energy efficiency program from Duke Energy that uses a holistic whole-building approach to assess a healthcare facility's energy usage, identify potential savings from improvements, and provide incentives to help fund implementation in order to maximize energy savings and return on investment. The program leverages Duke Energy's expertise and incentives like Smart $aver to help healthcare facilities develop a comprehensive energy management plan and strategies to reduce costs and improve their bottom line over the short and long term.
This document discusses energy management techniques that can be used to reduce energy costs at both the power supply and consumer sides. It describes direct load control and dispatch load management as techniques to manage loads at the power supply side. These techniques aim to minimize generation capacity needs and reduce costs. The document also discusses various energy management strategies that can be implemented on the consumer side, including power factor correction, improving lighting efficiency through various measures, and improving motor efficiency. The overall goal of energy management is to optimize energy use and reduce costs without negatively impacting production.
The document discusses the need for a smart grid to modernize the aging electricity system. It describes how a smart grid would use information technology to improve efficiency by enabling demand management, distributed renewable energy generation, and transmission and distribution grid management. This would help meet future electricity demand, reduce costs, and lower greenhouse gas emissions by integrating renewable energy sources and allowing utilities and consumers to actively manage electricity usage and pricing. Key components of a smart grid discussed are smart meters, demand response programs, energy dashboards, and using data to optimize building energy management and appliance usage.
Similar to Energy Management for the Information Age (20)
A detailed look at the issues of energy resilience. While focused on military applications these same methodologies can be applied to industry and other public facilities and campuses to ensure the "Right Energy at the Right Time" is always available.
This document contains a presentation on information system security given by Robert Straitt to the University of Corsica. The presentation covers various topics related to information system security threats including types of threats (vandalism, criminal activities, terrorist activities, and military activities), vulnerabilities (commercial software, poorly engineered software, inadequately protected systems, inexperienced or negligent workers, and open communications systems), and safeguards. The document provides details on each of these topics.
This document outlines a course on software engineering being taught at the University of Corsica in March-April 2002. The course is designed to give students hands-on experience developing a mini software project while learning the principles of managing software projects. It covers topics such as the differences between programming and software engineering, the history and processes of software engineering, and product life cycles. As part of the course, students will work on a class project to demonstrate the challenges of engineering versus development work.
This document provides an overview of a course on Software Quality Assurance. It discusses several key points:
- The course introduces students to Software Quality Assurance principles as practiced in industry.
- Several methods are used for process and product assurance, including audits, inspections, reviews, testing, and assessments.
- Embedded quality assurance activities aim to detect and remove errors early in the development cycle to reduce costs.
- A case study of the Space Shuttle flight software project demonstrates how a rigorous quality assurance process using embedded activities achieved extremely high reliability.
This document summarizes the application of the Capability Maturity Model Integrated (CMMI) framework to continuous improvement projects outside of software development. It discusses how the CMMI concepts can be adapted to other industries and business areas, such as energy efficiency. The author applied a tailored CMMI approach to lead continuous improvement projects at Little Rock Air Force Base, developing metrics and reporting tools to track projects and measure outcomes. Key accomplishments included implementing $35 million in resource conservation projects with estimated savings of $50 million. The document provides examples of the metrics reports and planning approach used to successfully manage the continuous improvement initiative.
This document discusses converting municipal waste water and solid waste into renewable biogas. It outlines three main waste-to-biogas technologies: 1) converting waste water into biogas and compost through anaerobic digestion, 2) converting solid biomass waste like food and yard waste into biogas and compost, and 3) converting plastics into fuels through thermal processes. The biogas can be used to generate electricity and heat for municipal facilities to offset energy costs. Financing options like bonds and power purchase agreements are presented. Conducting an energy audit and establishing a committee are recommended next steps.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
1. 1
https://media.ccc.de/v/28c3-4754-en-smart_hacking_for_privacy#t=1707
Energy Management
For The Information Age
Dr. Robert L. Straitt, CEM, CDSM
Energy Systems Professional
Space Solar Power System
Japan Aerospace Exploration Agency (JAXA)
http://shingetsunewsagency.com/2014/05/18/jaxa-looks-
to-space-for-future-energy-production/
Advanced Manufacturing
Office Of Energy Efficiency & Renewable
Energy.
https://www.energy.gov/eere/amo/funding-opportunities-0
Energy Management Information Systems
Better Buildings is an initiative of the
U.S. Department of Energy
2. Energy Management
For The Information Age
Dr. Robert L. Straitt
Energy Systems Professional
Sain Engineering Associates, Inc.
Homeland Security ICS-CERT
Arkansas State University
USDA/NRCS Earth-Team
Advisors & Co-Authors
Dr. Rajesh Sharma (ASU), Dr. Paul Mixon (ASU), Dr. Andrzej Rucinski (UNH),
Dr. Nadya Reingand (Patent Hatchery), Walter Ellis (IBM Retired), Nadine Straitt (ASU)
February 2019
2
3. Speaker Background & Associations
3
Dr. Bob Straitt, CEM, CDSM
• Sain Engineering Associates
• Resource Efficiency Manager
• Energy Systems Implementation
• Energy Systems Security Analysis
• Advanced Resilient Technology Analysis
• Homeland Security
• Member Industrial Control Systems Joint Working Group (ICSJWG)
• Member Industrial Control Systems, Cyber Emergency Response Team
• Member Homeland Security Information Network
• USDA/NRCS Earth Team
• Technical Services Office Lonoke, AR
• Ag Energy & Sustainability Analysis
• Water Resource Management
• Cyber Security Analysis
• Arkansas State University
• PhD Student – EVS Program
• VFD and IoT Technologies
• Agricultural Energy Efficiency
• Suitability Technologies/Systems
• Energy Huntsville
• Chairman Economic Development Council
4. Presentation Overview
• Introduction
• Energy Usage vs. System Productivity and the 2-20-200 Rule
• Energy Management as a Systems Engineering Activity
• Energy System Performance Metrics
• Capability Maturity Model Integrated (CMMI) as a Performance
Validation Model
4
5. Introduction
• For a large portion of the 20th Century, energy as we think of it today was a
luxury commodity, gradually migrating from the origins of its use in the
industrial base, to business, agriculture, and finally domestic usage.
• As we approached the 21st Century, energy migrated from the realm of
“nice to have” to becoming an integral subsystem of almost every piece of
equipment and appliance that we depend on today.
• From the Simple applications of the 20th Century Industrial Age, to the
highly complex and “Smart” application in the 21st Century Information
Age, energy management practices are transitioning from “hack and cut”
to maximize utilization to maximize production system productivity and
cost effectiveness.
5
6. The 2-20-200 Rule
• Employee Productivity Vs. Energy Savings - The 2-20-200 Rule
https://vimeo.com/251319747
6
The 2-20-200 Rule applies:
• “Energy costs are roughly $2 per square foot per
year.
• Construction costs average $20 per square foot per
year, when amortized over 25 years.
• Staffing an office building costs $200 per square
foot per year.
• As little as a 1 percent increase in productivity
would be the equivalent of $2 per square foot per
year cost savings, covering the annual energy bills.
• A 10 percent increase in productivity would be
equivalent to $20 per square foot per year cost
savings, which would pay for the building itself.”
• Mehdi Jalayerian, P.E., LEED AP, Environmental Systems Design, Inc. ,
https://www.facilitiesnet.com/green/article/Personnel-Operating-Costs-Can-Be-Addressed-By-New-
BAS-Facilities-Management-Green-Feature--11782
7. 2-20-200 Rule - Heating and Air Conditioning
• “Cornell University researchers conducted a study that involved tinkering with the thermostat of an
insurance office. When temperatures were low (68 degrees, to be precise), employees committed 44%
more errors and were less than half as productive as when temperatures were warm (a cozy 77
degrees). Cold employees weren’t just uncomfortable, they were distracted. The drop in performance
was costing employers 10% more per hour, per employee. Which makes sense. When our body’s
temperature drops, we expend energy keeping ourselves warm, making less energy available for
concentration, inspiration, and insight.” Want More Productive Workers? Adjust Your Thermostat, https://www.fastcompany.com/3001316/want-more-productive-workers-adjust-your-thermostat
• A series of studies showed that in workplace environments that had good indoor air quality (IAQ ), 30
percent fewer workers reported sick-building symptoms such as fatigue, respiratory problems, and
skin irritations. When you consider that absenteeism costs employers between $2,600 and $3,600 a
year, a 30 percent reduction in workplace-related illness is significant, especially when you compare it
to the modest cost of a commercial AC tune-up that keeps your IAQ at a high level. How HVAC Affects Employee
Productivity,https://www.alfordmechanical.com/blog/how-hvac-affects-employee-productivity
10,000 employees, 40% (4,000) call in sick, 4,000*3,600 =$14.4 Million
10,000 employees, .28% (2,800) call in sick, 2,800*3,600 =$10.1 Million
$4.3 Million a year in productivity savings = a lot of heating and cooling capacity!!!
7
8. 2-20-20 - Example of an Antiquated Energy Management
Practice – Prohibition of Space Heaters/AC Units
Local Policy based on outdated assumptions and misunderstanding of Energy Regulations/Best Practices
• Though independent heating units indoors might seem an adequate solution, Army housing regulations
and clearly written policies set by Command prohibit their use. "The practice is extremely dangerous.
Our local Installation housing policy, as well as Command policy spells out clearly that it's prohibited."
said DPW. "It's also incredibly expensive to the U.S. Army and wastes a lot of energy. Just don't do it."
Actual Army Regulation encouraging use of Space Heaters and A/C units when cost effective
• AR420-1 22-12b(2) The operation of portable heating and cooling devices is prohibited where the
intent is to circumvent the heating and cooling standards outlined above. Supplemental heating and
cooling may be used when cost effective energy reductions can be achieved by reducing usage of
primary heating and cooling systems or personal comfort levels can not be achieved by reasonable
adjustments of the primary system. Such devices are particularly effective where only a few people
occupy a portion of a large building, and conditioning is only required in a small section of the facility.
Use of personal supplemental heating or mechanical cooling devices must have supervisor written
approval and must only be used when the area is occupied. http://www.wiesbaden.army.mil/docs/AR420_1.pdf
8
9. 2-20-200 Rule – Energy Efficiency is not Always So Efficient.
Energy Usage vs. Energy Productivity
• Until recently Energy Managers were usually just focused on cutting energy
consumption across an organization, virtually this was done independently of
other at all costs to productivity and business sustainability.
• As energy management matured from ad-hoc based approach of individual
artisans, to more holistic and formal systems engineering practices, a better
understanding of how energy usage impacts an organizations ability to be
competitive has developed.
• While energy costs can be considerable, the lack of the right energy at the right
place and time can result in financial losses, which will far out-weigh any savings
that would have been achieved by energy cuts.
9
10. 2-20-200 Rule – Efficiency a Negative Connotation?
Should we drop “energy efficiency” from our vocabulary?
• Not too long ago, energy policy expert Dr. Steven
Fawkes suggested that it’s high time we ditch the term
“energy efficiency” altogether.
• “Energy efficiency has all kinds of problems as a label,” Dr.
Fawkes admits.
• “It is a confusing technical term, it is boring to most people,
• it still has negative connotations of saving and getting by on
less, it threatens energy suppliers,
• it is invisible, it does not lend itself to photo ops or big
political announcements,
• and it leads to all kinds of pointless, endlessly
resurfacing, debates based on the Jevons paradox.”
https://www.dexma.com/ep100-energy-productivity-energy-efficiency/
10
https://en.wikipedia.org/wiki/Jevons_paradox
"It is a confusion of ideas
to suppose that the
economical use of fuel is
equivalent to diminished
consumption. The very
contrary is the truth.” Jevons
Jevons Paradox 1865
11. 2-20-200 Rule – DOE’s Accelerate Energy Productivity 2030
Accelerate Energy Productivity 2030
• “On September 16, 2015, the U.S. Department of Energy and its partners, the Council on Competitiveness and
the Alliance to Save Energy, released Accelerate Energy Productivity 2030: A Strategic Roadmap for American
Energy Innovation, Economic Growth, and Competitiveness (Roadmap).
• This effort supports the goal the President set in his 2013 State of the Union address to double energy
productivity, measured by gross domestic product (GDP) per unit of energy use, from the 2010 level by 2030.”
11https://www.energy.gov/policy/initiatives/accelerate-energy-productivity-2030
12. 2-20-200 Rule – Productivity Improvements
12
Energy Productivity Savings equates to
Energy Efficiency Savings on Steroids!!!!
• "Energy efficiency is about reducing energy," Molly Webb
• "Energy productivity is about the cost of energy…” Molly Webb
• “The idea of ‘efficiency’ appeals to those obsessed with cutting costs.”
Heather Clancy
• By contrast, the notion of improving "productivity" speaks to the grander
potential for evolving how your organization sources and consumes energy
while simultaneously expanding economic growth.” Heather Clancy
• While Energy Efficiency efforts are a vital sub-part in the larger scheme of
Energy Productivity, we need to rethink our energy goals from concepts
based on cutting to those based on maximizing organization cost
performance.
GreenBiz 101, What does energy productivity mean?
https://www.greenbiz.com/article/greenbiz-101-energy-productivity-mean
https://www.greenbiz.com/article/greenbiz-101-energy-productivity-mean
13. 2-20-200 Rule – Productivity Improvements
13
Energy Based Productivity Improvements Calculations
• “Productivity gains are rarely factored into the financial return on
investment (ROI) calculations for energy efficiency upgrades…”
• “Despite these challenges, many studies have attempted to quantify
the productivity benefits of a more energy efficient building. These
studies consistently indicate that the productivity gains from increased
energy efficiency are significant.”
• “A strong body of literature demonstrates that substantial productivity
gains can accrue from comprehensive energy efficiency improvements
as well as individual efficiency components. ”
• “Studies have measured these gains both quantitatively through
performance data and qualitatively through tenant surveys.”
• “At 30°C (86o F), performance is only 91.1 percent of the maximum.
• …energy efficiency improvements that also help maintain indoor
temperatures in the optimum range may result in significant
productivity gains. ”
Productivity Gains from Energy Efficiency
https://buildingefficiencyinitiative.org/articles/productivity-gains-energy-efficiency
https://buildingefficiencyinitiative.org/articles/productivity-gains-energy-efficiency
14. 2-20-200 Rule – Lighting
14
Energy Based Productivity Improvements
• Lighting can impact productivity from both an optical
and a physical prospective.
o “It turns out that LEDs, in addition to consuming about 1/7th
of the energy of fluorescent bulbs, also emit about seven
times less heat. We show that the reductions in heat
dissipation that occurred when LEDs were installed reduced
the temperature on factory floors by several degrees, which
led to an increase in productivity.”
o “In hot climates, LED lighting is much more affordable than a
naïve comparison of energy cost savings would suggest.
Installation of LED lighting is in the best interest of
manufacturing firms that rely heavily on manual labour, even if
they have relatively short time horizons to recoup their
investments.” Achyuta Adhvaryu, Namrata Kala, Anant Nyshadham,
https://voxeu.org/article/hidden-productivity-benefits-energy-saving-technology
https://voxeu.org/article/hidden-productivity-benefits-energy-saving-technology
15. 2-20-200 Rule – HVAC and Lighting
Energy Efficiency Measure designed in microcosm, such a poorly researched lighting
retrofit, can increase worker stress resulting in productivity decreases from
absenteeism, as well as, lower performance levels, which increases rework, and
increases defects that resulting in lower customer satisfaction/sales.
• Poor maintenance or cut backs in HVAC levels to support energy efficiency goals can be a prime
stress inducer that could trigger suicide attempts. Air Force surgeon general weighs in on stress, suicide, healthy bases.
https://www.airforcetimes.com/news/your-air-force/2016/04/03/air-force-surgeon-general-weighs-in-on-stress-suicide-healthy-bases/
• HVAC units operating at reduced capacities to save energy may result in increased mold growth
causing added emotional stress. Air Force surgeon general weighs in on stress, suicide, healthy bases. https://www.airforcetimes.com/news/your-air-
force/2016/04/03/air-force-surgeon-general-weighs-in-on-stress-suicide-healthy-bases/
Lost Cost-Avoidance Opportunities:
• In 2018 some 375 solders, sailors, marines, and airman committed suicide…
• Average costs to train an infantry solder is about ~$100k and a pilot is ~$1.5M for pilots
• Services report lower retention rates and difficulty in recruiting.
https://www.hqmc.marines.mil/Portals/61/FY16%20ERS%20Final.pdf?ver=2016-07-14-141912-64
15
16. 2-20-200 Rule – HVAC and Lighting
Energy Productivity Programs can help reduce individual stress resulting in
more then just higher productivity rates, but lower indirect cost from a direct
reduction in crime and lower suicide rates, which impacts Corporate Social
Responsibility (CSR) index ratings:
• “It's no secret that dim lighting can strain the eyes and cause headaches, lowering
productivity and resulting in employee fatigue. Dim lights also result in drowsiness or
lack of focus.
• Harsh lighting is a much more common culprit. It's just as harmful as dim lighting,
causing eye strain and even triggering migraine headaches.
• According to Leo Widrich, co-founder of Buffer, ‘Our cortisol levels drop significantly
under artificial or poor lighting conditions. That means that we'll be more stressed,
and have less ability to stabilize our energy levels.’”1) Jeff Pochepan https://www.inc.com/jeff-pochepan/these-
office-lighting-changes-will-improve-your-mood-and-productivity.html
• Cost Effect Blue LED lighting in high crime areas reduce crime by 9% (1)
• Blue LED Lighting at Subway and Railroad stations reduce suicide rates by 74% (2)
16
(2) https://nextcity.org/daily/entry/how-blue-lights-on-train-
platforms-combat-tokyos-suicide-epidemic
(1) https://psychcentral.com/blog/can-blue-colored-light-
prevent-suicide/
18. Energy Management as a Systems Engineering Activity
Energy Systems Engineering/Management
• “a broad field of engineering dealing with energy efficiency, energy services, facility
management, plant engineering, environmental compliance and alternative
energy technologies.
• Energy engineering is one of the more recent engineering disciplines to emerge. Energy
engineering combines knowledge from the fields of physics, math, and chemistry with
economic and environmental engineering practices.
• Energy engineers apply their skills to increase efficiency and further develop renewable
sources of energy. The main job of energy engineers is to find the most efficient and
sustainable ways to operate buildings and manufacturing processes.
• Energy engineers audit the use of energy in those processes and suggest ways to
improve the systems. This means suggesting advanced lighting, better insulation, more
efficient heating and cooling properties of buildings.[1] ” https://en.wikipedia.org/wiki/Energy_engineering
18
19. Energy Management as a Systems Engineering
Activity
Drivers for the Changing Role of Energy Management
• Transitioning from ad-hoc practice to formal engineering discipline
• Information collection, transmission, storage, and bandwidth
• Automation
• Sustainability
• Corporate Social Responsibility
19
20. Energy Management as a Systems Engineering Activity
Transitioning from ad-hoc practice to a formal engineering
discipline with well defined processes.
20
• Energy management initiated with ad-hoc managing of
energy usage to ensure enough power was available
for power hungry machinery and equipment.
• Energy management transitioned to an artesian
practice with little repeatability or predictability
of sustainable success.
• Energy management has matured into a
well defined engineering discipline,
which integrates into the larger
efficient systems it supports
21. Drivers in Changing Role of Energy Management
Information Collection, Transmission, Storage, and Bandwidth
• Collection - The process of gathering meaningful elements of information that support the
business/mission decisions of the organizations. Collection has matured from traditional meter and
utility data to collecting a broad range of trans-organizational data sets, many outside traditional
energy parameters, such as, production data, employee performance, defect data, sales and customer
feedback, and Corporate Social Responsibility.
• Transmission – The process of getting data from the collection source to a storage center where it can
be viewed, analyzed, and archived. Transmission methods have changed from manual readings and
recoding on paper records, to portable digital scanners, to advanced digital networks, to finally
Internet of Things (IoT) technologies that are able to transmit data relevant to energy analysis centers.
The ability to use technologies such as Broadband Over Powerline Carrier, 5G networks,
21
22. Drivers in Changing Role of Energy Management
Information Collection, Transmission, Storage, and Bandwidth
• Analysis/Storage – The world of energy management, especially in the area of data
management is being modernized at a rate not seen before. In the analytics of energy data we
no longer thing in 20th century terms of big data, today we are addressing the exponentially
larger issue of “Extreme Data”.[1] Accurate predictions of energy sustainability and resilience are
not possible with the introduction of real Artificial Intelligence in our storage and analytics
processes. [2]
• Bandwidth – “By 2020, the world will have, over 20 Billion connect devices, with over 5.5
million daily new connections…”[3] “1 million SMART meter’s collect every 15 minutes over a
year. 2920 Terabytes to be exact and that’s only 1 million households or businesses!” [4]
22
1) Kinetica,“THE EXTREME DATA ECONOMY”, https://www.kinetica.com/extreme-data/
2) Michael Risse, “Turning Big Data analytics into actionable information”, https://www.controleng.com/articles/turning-big-data-analytics-into-actionable-information/
3) Dr. Atul Sharma, “How to empower smart energy management with predictive analytics “, HTTPS://WWW.KELLTONTECH.COM/KELLTON-TECH-BLOG/HOW-EMPOWER-SMART-ENERGY-MANAGEMENT-PREDICTIVE-ANALYTICS , Dec 12, 2016
4) Damon Lapping, How Big Data Analytics is Disrupting the Energy Industry,https://www.disruptordaily.com/big-data-analytics-disrupting-energy-industry/
23. Drivers in Changing Role of Energy Management
Automation
• “Estimates of the market size for these technologies range from $43 billion in potential sales for building automation
technologies by 2018 to over $120 billion for manufacturing automation sales by 2020.” [1]
• “Tools like life-cycle assessment allow companies to uncover and target which portion of their products’ life-cycles use the
most energy, as well as other resources like water. Depending on the product, the energy required by industry to produce a
product may only be a small fraction of its total life-cycle energy.”[1]
• “The growth of the manufacturing industry has spurred automation industry’s development and both of them have
continually evolved over the years… automation has an important role to play in making the manufacturing processes
efficient, safe and sustainable. “[2]
• Globally, Industrial plants use almost one-third of the energy consumed. Energy is also a controllable cost in manufacturing.
With the use of automation systems, significant opportunities can be discovered to reduce per-unit-production energy costs as
they empower manufacturing companies to identify, control, and optimize energy resources and can generate actionable
information for improved decision making.” . [2]
23
1) DOE, “Energy 2030 Road Map - Part 2”, http://www.energy2030.org/wp-content/uploads/Part-2.pdf
2) Rajabahadur V. Arcot, “Automation helps manufacturing to become sustainable and energy efficient” https://www.automationindiaexpo.com/single-post/2017/01/31/Automation-helps-manufacturing-to-become-sustainable-and-
energy-efficient, 2017
24. Drivers in Changing Role of Energy Management
Sustainability
• “Implementing sustainable manufacturing is more important than ever, for many different reasons.
• First, sustainable manufacturing is not just right for the planet —
• it can also significantly enhance the safety of your facility, your staff, your products, and your community as a
whole.
• Sustainable manufacturing can also be very cost-effective.
• By improving the efficiency of your equipment and processes, you can lower energy consumption, decrease
manufacturing time, reduce waste, and use less material
• incorporating sustainable manufacturing processes into operations can go a long way in boosting your company’s
reputation, helping to build greater trust with customers and even gaining you new leads.
• Customers want to feel good about the products they’re purchasing and be sure the companies they’re supporting
share the same values and standards.
• Practicing sustainable manufacturing encourages customers to engage with your company and instills trust that
you hold similar ideals. “
24
Jill Worth, Creating a Sustainable Earth Through Sustainable Manufacturing, https://www.rodongroup.com/blog/importance-sustainable-manufacturing-earth-day, 2018
25. Corporate Social Responsibility (CSR)
Corporate Social Responsibility – The concept that corporations
have a greater responsibility to the environment and
society, which transcends investor profitability.
• “66% of consumers overall and 73% millennials are willing to
spend more on a product if it comes from a sustainable brand.”*
• 81% of millennials even expect their favorite companies
to make public declarations of their corporate citizenship.*
• “more than nine in ten millennials would switch brands
to one associated with a cause.”*
Energy Systems Engineering is an essential activity for any
company, hoping to increase its market share and customer
loyalty by implementing costly and complex energy technologies
that are in demand by their targeted consumer base.
25
* Sarah Landrum, Millennials Driving Brands To Practice Socially Responsible Marketing,
https://www.forbes.com/sites/sarahlandrum/2017/03/17/millennials-driving-brands-to-practice-socially-responsible-marketing/#ade66a4990b5
26. Corporate Social Responsibility (CSR)
• “The changes in sustainability that stakeholders may demand of a
corporation can be very positive over the long run, if initially very costly.”*
• “The effort to be sustainable creates what I like to call a ‘serendipitous
circle’: measures that increase efficiency and lower our total costs make us
a more robust entity; increase our standing as a global corporate citizen;
and engage our employees and the communities in which we work and
live.”*
• “There is just no downside…Sustainability is a two-sided coin, for
stakeholders it can mean the ways we run the company and conduct
ourselves, but those same concerns in the world can create customer
behavior resulting in robust market opportunities,” Leo Mackay, Lockheed Martin
* Charles W. Thurston, Companies Spend More on CSR and Shareholders Reward them, https://www.institutionalinvestor.com/article/b14zbkcbky345r/companies-spend-more-on-csr-and-
shareholders-reward-them
26
27. Energy Program Management and Measurement
27
https://www.esdnews.com.au/manufacturing-sector-roadmap-to-
double-energy-productivity/
28. Energy Program Management and Measurement
Energy and Water Program Management
Writing Effective Installation Energy and Water Plans
28
Program Management
Artist rendering of the new power plant in Schofield Barracks, Oahu, HI. (Photo Credit: U.S. Army),
https://www.army.mil/article/184993/army_pursuing_14_day_energy_water_independence_for
_installations
29. Energy Program Management and Measurement
29
• An Army Installation Energy and Water Plan (IEWP) provides a
roadmap for supporting Army installations in achieving
increased security, resilience, readiness, and mission assurance.
• The goal is for the IEWP to serve as a useful, “living” planning
tool that reduces the number of energy and water security and
management planning requirements from four to one.
What is an Installation Energy and Water Plan?
In Short an IEWP is a Program Management Plan!!!
A single planning document that is focused on providing Installation Leadership the information need to effectively
achieve each of the 5 planning elements, including activities, resources, schedules, milestones, and success criteria.
30. Energy Program Management and Measurement
30
• A regurgitation of an Energy and Water
Conservation Policy
• A simple listing of Energy/Water Conservation Goals
• A Gantt Chart or other Energy/Water Conservation
Activities
• A Simple collection of Energy Project Descriptions
What an Installation Energy and Water Plan
IS Not!
31. Energy Program Management and Measurement
31
• “The program management plan is a single, formal, dynamic document that outlines how the program
is to be managed, executed, and controlled. It contains the overall program governance, information on
components (initiatives and projects), benefits realization, related management plans and procedures,
timelines, and the methods used to plan, monitor, and control the program as it progresses. This
document evolves with the program and will be updated to reflect any relevant changes throughout
program execution. This document should ensure there are no surprises through execution on how the
program is managed or decisions are made.
• This document is also the final source of all approved changes to budget, schedule, scope, success
criteria, and benefits when it comes time to close the program and assess program success. “ [1]
1) University of Wateloo, Program Management Plan, https://uwaterloo.ca/it-portfolio-management/methodologies/program-management/program-benefit-delivery/program-management-plan
What is the Purpose of Program Management Plan?
32. Energy Program Management and Measurement
32
• Definition Program
• Description/Overview Program
• Vision of the End State
• Business Needs of the Organizations
• Anticipated Outcome and Deliverables
• Scope Of the Program
• Budget
• Milestones
• Schedule
• Stakeholders
• Components
• Dependencies
• Constraints
• Success Criteria
What are the Key Elements of a Program Plan?
University of Wateloo, Program Management Plan,
https://uwaterloo.ca/it-portfolio-management/methodologies/program-
management/program-benefit-delivery/program-management-plan
33. Energy Program Management and Measurement
33
• SG #1 – Inform Decisions: Leverage Army culture to use resources wisely, improve mission
effectiveness, and preserve future choice.
• SG #2 – Optimize Use: Minimize demand and increase both efficiency and recovery to
maximize resource and mission effectiveness for systems, installations, and operations.
• SG #3 – Assure Access: Provide reliable access to energy, water, and land resources and
protect delivery mechanisms to mission-essential functions and applications, both
domestically and to contingency bases during operational deployments.
• SG #4 – Build Resiliency: Advance the capability for systems, installations, personnel, and units
to respond to unforeseen disruptions and quickly recover while continuing critical activities.
• SG #5 – Drive Innovation: Identify new concepts; develop, test, and field new processes and
technologies; and institutionalize and communicate best practices to maximize resource
effectiveness.
• Although the focus of this plan is facility energy issues, we recognize that production activities
consume a great amount of energy and these activities under the primary control of a
contractor need to be addressed with a production centric methodology. By controlling
energy consumption in both areas, facility and production, JSMC-Lima can reduce overall
facility energy usage and utility costs, while improving the ability to meet mission objectives.
Sample goals of an effective IEWP
34. Energy Program Management and Measurement
34
Description:
• JSMC-Lima will seek opportunities for CHP project development consistent with installation
energy resilience requirements, as outlined in the JSMC-Lima Energy and Water Management
Master Plan, and as reported as part of the Annual Energy Management Report (AEMR)
submission process. The following parameters will be utilized to implement CHP where feasible
Objective:
• JSMC-Lima will seek opportunities for CHP project development consistent with installation
energy resilience requirements, as outlined in the JSMC-Lima Energy and Water Management
Master Plan, and as reported as part of the Annual Energy Management Report (AEMR)
submission process. The following parameters will be utilized to implement CHP where feasible
Predecessors:
• Approved Energy and Water Management Master Plan
• Energy Demand Analysis for all buildings/functional operations at JSMC-Lima
Products:
• A completed analysis of Energy Resilience opportunities for JSMC-Lima
Success Criteria:
• CHP projects are incorporated into Energy Resilience projects as required
• Submissions on CHP status as part of the Annual Energy Management Report (AEMR)
Sample Task Description of an
effective IEWP
35. Energy Program Management and Measurement
35
Description:
• JSMC-Lima will seek opportunities for CHP project development consistent with installation
energy resilience requirements, as outlined in the JSMC-Lima Energy and Water Management
Master Plan, and as reported as part of the Annual Energy Management Report (AEMR)
submission process. The following parameters will be utilized to implement CHP where feasible
Objective:
• JSMC-Lima will seek opportunities for CHP project development consistent with installation
energy resilience requirements, as outlined in the JSMC-Lima Energy and Water Management
Master Plan, and as reported as part of the Annual Energy Management Report (AEMR)
submission process. The following parameters will be utilized to implement CHP where feasible
Predecessors:
• Approved Energy and Water Management Master Plan
• Energy Demand Analysis for all buildings/functional operations at JSMC-Lima
Products:
• A completed analysis of Energy Resilience opportunities for JSMC-Lima
Success Criteria:
• CHP projects are incorporated into Energy Resilience projects as required
• Submissions on CHP status as part of the Annual Energy Management Report (AEMR)
Sample Task Description of an
effective IEWP
36. Energy Program Management and Measurement
36
Description:
• This Metric describes the current state of energy projects on the installation.
Objective:
• This metrics sheet will serve as central repository for information related to energy
efficiency and water conservation projects completion and cost information.
Individual project information will be entered into the data repository each week or
when significant events occur.
Predecessors:
• Methodology for publishing information defined and approved
• Metrics collection and reporting tool completed and validated
• Data from previous year validated and inputted into tool
Products:
• Monthly published updates including project information and performance charts.
Success Criteria:
• All energy and water project information is loaded into the data repository and
updated on a monthly basis or when significant project milestones are met.
Sample Metric Description of
an effective IEWP
38. Energy Program Management and Measurement
Earned Value Program Management
The Right Measure Provide Meaningful Management Information!
38
39. Energy Program Management and Measurement
Earned Value Program Management
Projecting the Actual Savings and Costs of Energy Resiliency
39
https://melbourneurbanist.files.wordpress.com/
2011/09/xkcd-value-of-time.jpg
• Under the Energy Efficiency Model we evaluate in a
stove pipe the energy performance of our energy
conservation measure (ECM) and then try show a simple
pay back or ROI for the energy reduced or generated.
• Under the Energy Productivity Model, we use a systems
engineering approach and calculate the Earned Value of
the ECN to the organizations overall economic
performance.
40. Energy Program Management and Measurement
Earned Value Program Management
Projecting the Actual Savings and Costs of Energy Resiliency
40
https://melbourneurbanist.files.wordpress.com/
2011/09/xkcd-value-of-time.jpg
• Under the Energy Efficiency Model we evaluate in a
stove pipe the energy performance of our energy
conservation measure (ECM) and then try show a simple
pay back or ROI for the energy reduced or generated.
• Under the Energy Productivity Model, we use a systems
engineering approach and calculate the Earned Value of
the ECN to the organizations overall economic
performance.
41. Energy Program Management and Measurement
What is Earned Value Management
41
https://melbourneurbanist.files.wordpress.com/
2011/09/xkcd-value-of-time.jpg
• “The Earned Value Management (EVM) is a project management
technique used to monitor and control projects cost and time schedule
in an integrated manner; it is a management methodology used to
objectively measure the cost performance of a project and to predict
its future performance…
• From the ANSI standard ANSI/EIA-748-B-2007, a clear definition can be
cited for the earned value (EV) as: “the value of completed work
expressed in terms of the budget assigned to that work”.
• As a method for performance measurement of cost and time progress
of projects, the historical evolution of EVM can be traced back to 1800s,
but its current form and function was developed and proposed by the
United States Air Force in 1960s and named “the cost/schedule
planning and control system” [24,36]. In 1967, it was adopted by the
United States Department of Defense as a policy and it was renamed
to “cost/schedule control systems criteria (C/SCSC)” [1]
Luay N. Dwaikat and Kherun N. Ali, “Measuring the Actual Energy Cost Performance of Green Buildings: A Test of the Earned Value Management Approach”, Energies
September 18, 2016,
42. Energy Program Management and Measurement
EVM Measures Actual Progress
Toward Goals, Rather Then Just Activity
42
Jesse Weaver, Leaders Create Movement not Motion,
https://medium.com/re-write/leaders-create-movement-not-
motion-e8585df24270, Jan 10, 2016
Report
Date
01/00/00
Total Action
Items
Opened
Current
Action Items
Closed
Action Items
Overdue
Action Items
Tasks
Percent
Complete
Work
Percent
Complete
Duration
Percent
Complete
Current
Schedule
Performance
Index
Future
Schedule
Performance
Index
Average
Expected
Performance to
Complete
(Hours/Day)
20 0 7 0 35% 36% 21% 88% 1.08 2.09
100% 100% 100% 100% 100%
Little Rock AFB Resource Efficiency Program Action Item
Tracking Progress
0% 20% 40% 60% 80% 100% 120%
Tasks Percent
Complete
Work Percent
Complete
Duration
Percent Complete
Current Schedule
Performance Index
Future Schedule
Performance Index
Progress Toward Program Goals
Actual
Goal
Overall Performance
Better then Expected
Schedule Performance
Ahead of Schedule
Duration Performance
20% of Schedule Used
Work/labor Performance
Labor is ahead of schedule
Tasks Performance
Tasks are ahead of schedule
43. Energy Program Management and Measurement
EVM Measures Actual Progress
Simple Tools Make Complex Activities Manageable
43
Report
Date
12/17/10
Est.
Hours to
Act.
Hours for
Cumul.
Hours to
12/17/10 12/17/10 12/17/10
001 CEM Training Straitt 11/15/10 11/15/10 11/19/10 11/19/10 40.0 40.0
002 Review and update Water Tank Justification Straitt 11/18/10 11/18/10 12/01/10 12/01/10 25.0 25.0
003 Revise Base Energy Vision/Plan Update current vision/plan Straitt 12/01/10 02/28/11 40.0 0.0
004 Develop 2011 REM Action Plan Define and estimate 2011 activities Straitt 11/22/10 12/31/10 40.0 5.0
005 Develop Resource Concervation Awarness
Strategy/Program
Education and training for commanders,
senior nco's, facility managers and troops
Straitt 11/22/10
12/31/10 40.0 0.0
006 Develop (ACES/BLCC) Energy Related Project Identify and enter into ACES an energy
related project
Straitt 11/01/10
11/01/10 24.0 24.0
007 Energy Project 12/10a Straitt 12/01/10 12/31/10 40.0
008 Energy Project 12/10b Straitt 12/01/10 12/31/10 40.0
009 Review AF OIs, Standards, Etc Straitt 11/01/10 11/01/10 02/28/11 40.0 3.0
010 Hospital Energy Star Certification Work with Hospital to meet energy-star
requirements
Straitt 11/29/10
06/30/11 80.0 0.0
011 ASU Renewable Energy Team Visit Set-up and host visit Straitt 12/02/10 12/02/10 12/10/10 16.0 12.0
012 AFF-3555 and 3556 Project Help Reuben collect, analyze, and
report estimates for 2011 utility bills
Straitt 11/22/10 11/22/10 12/10/10 80.0 32.0
013 Energy Assessment Bldg 620 Type I assessment of building 620 Straitt 11/29/10 11/29/10 12/10/10 24.0 20.0
014 REM Activity Weekly Rem Activities Straitt 11/22/10 11/22/10 11/26/10 11/26/10 32.0 32.0
015 REM Activity Weekly Rem Activities Straitt 11/29/10 11/29/10 12/03/10 12/03/10 4.0 12.0
016 REM Activity Weekly Rem Activities Straitt 12/06/10 12/06/10 12/10/10 10.0 10.0
017 Energy Awarness Activity Attend ASU Renew. Energy Class Straitt 12/06/10 12/06/10 12/06/10 12/07/10 4.0 4.0
018 Enviroment Management System Support Evaluted energy related EMS inputs
and attend EMS meeting.
Straitt 12/09/10 12/09/10 12/09/10 12/09/10 3.0 3.0
019 Enviroment Management System Support Work Safety and BioMedical to
coordinate building inspection activity
and infromation exchange.
Straitt 12/10/10 12/10/10 12/17/10 10.0 3.0
020 REM Activity Weekly Rem Activities Straitt 12/13/10 12/13/10 12/17/10 12/17/10 40.0 32.0
020 195.00 L 0 632.0 32.0 0.0 225.0
Little Rock AFB Resource Efficiency Program Action Item Log
Late
Action Item Information Action Item Metrics
Source
ID / Type
Est.
Total
Hours
AI # Description Comments
Act.
Date
Closed
Accountable
Individual
Est.
Date
Open
Act.
Date
Open
Est.
Date
Close
Add a line Sort AIs # Size Rows
While complex software solution
exist to manage larger projects.
A variety of EMV solutions can be
modeled and/or implemented
using commonly available tools
such as Micro Soft Office
products.
Excel Spread sheets can easily be
used by mangers to track
individual project activities and/or
tasks assigned to individuals.
45. Energy Program Management and Measurement
Energy Systems Performance Metrics
The Right Measure Provide Meaningful Management Information!
45
0.00
50.00
100.00
150.00
200.00
250.00
2015 2016 2017 2018
EUI
FISCAL YEAR
IOWA EUI Glidepath vs Actual
GLIDEPATH
MMBTU/KSF
0
1
2
3
4
5
6
7
8
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
2016 2017 2018
UnitsofProduction
Millions
Btus
Btus and kGals Usage per Unit of Production
Btus/UoP Kgals/UoP Prodution
46. Energy Program Management and Measurement
46
Energy Systems Performance Metrics
• Provide management with decisional information
early enough to make necessary corrections in
order for an organization to reach desirable
business goals and objectives.
• Valuable metrics are not data sets that are
archived, they are information views at the right
level of abstraction to provide “decision makers”
the information they need to make sound
financial and operational business decisions in a
timely manner Julia Bobick, “Developing an Army Energy Information Management plan from the ground up.”,
https://www.usace.army.mil/Media/News-Archive/Story-Article-View/Article/526264/developing-an-army-energy-
information-management-plan-from-the-ground-up/ , 2014
47. Energy Program Management and Measurement
Energy Systems Performance Metrics
• Remember the 2-20-200 rule?
“Moreover, energy costs are a relatively small component
of the bottom line for a business….
EUI can be a valuable metric when comparing performance of similar buildings, or used as a
starting point in energy analysis, but it may not tell the full efficiency story…..
“A performance metric that considers a true measure of the building’s
success as it relates to its core purpose is more appropriate.”
Kevin M. Smith, P.E., CEM, Energy Analyst
Kevin M. Smith, “New Thinking About Building Performance Energy Metrics”, 23 June 2017, https://www.glumac.com/new-thinking-performance-metrics/
47
48. Energy Program Management and Measurement
Energy related metrics activities should measure and provide information
about how energy usage is impacting the financial viability of an
organization.
Some Samples Include:
• Energy costs per profit on units of goods/service produced
• Energy costs relative to staff availability and productivity
• Energy costs relative to product/service quality and rework
• Energy costs relative to Corporate Social Responsibility (CSR) perceptions by the
user/customer base
48
49. Energy Program Management and Measurement
Real World energy associated business losses, as a result of thinking in terms of energy
efficiency rather then “energy productivity”.
• Office building electrical panel arcing and failure, lost revenue $1,597,389
• Apartment complex’s aluminum electrical supply bus burned out, Equipment repair cost $118,681 Relocation cost
$72,152, lost revenue $190,833
• Hospital – A turbine generator failure, lost revenue $292,513
• Machine shop – A power surge, Repair cost $9,485, Extra expense $42,541 lost revenue
• Building HVAC failure, need rented chillers, Property damages $83,557, expenses $16,794, lost revenue $100,351
• School boiler not maintained, Property damages $98,500, Extra expenses, $25,164, lost revenue $123,664
• Municipal building power surge, police and fire systems destroyed, lost revenue $90,160
• Office building voltage fluctuation burnt out phone system, lost revenue $52,500
• Service station power surge blew computer diagnostics system, telephone system, paging system, and security
system, lost revenue $33,338
https://www.munichre.com/site/hsb/get/documents_E2140029234/hsb/assets.hsb.group/Documents/Products/Agents-and-Brokers/HSB-015_CommonEquipFailures-med_res%5B1%5D.pdf
49
50. Energy Program Management and Measurement
This paper reports the effect of electrical power quality on textile industry. Because textile industries have high
technology machines including electronic control cards and driver controlled motors, poor power quality may damage
the system and cause production failure. Measurements showed that the losses caused by electrical power quality were
significantly high, being around 15% of the annual net profit of the textile industry. [1]
• Value of us textile revenues in 2017 was ~$106.5 Billion [2]
• Utility Costs make up less then 15% of revenues or about ~$8 Billion [1] (Note:10% ECM would be ~$800 Million)
• Profit margin is about 5% of revenues or about ~$5.4 Billion [1&2}
• Losses from poor electrical power ~15% of $5.4 Billion, or ~$810 Million
• U.S. employment in the textile supply chain was 550,500 in 2017
• Approx. current losses on employ absenteeism 550,500 employees[2], 40% (220,200) call in sick, 220,200*3,600 =$792.4 Million
• Approx. potential losses on employ absenteeism 550,500 employees, 28% (154,140) call in sick, 154,140*3,600 =$554.9 Million
• $237.5 Million a year in potential profit savings = a lot of lighting, heating, and cooling capacity!!! [3&2]
• Energy Efficiency Measure (Reducing HVAC) related defects cost ~30% of sales or about $31.95 Billion – Energy Productivity
Measures result in a 44% reduction error rate, savings of $9.7 Billion
• Energy Productivity Measures (increase HVAC) increase employee productivity by ~10% or S10.6 Billion
1) Koçyiit, F & Yanıkolu, E & S. Yilmaz, A & Bayrak, Mehmet. (2009). Effects of power quality on manufacturing costs in textile industry. Scientific Research and Essay. 4. 1085-1099.
https://www.researchgate.net/publication/228732886_Effects_of_power_quality_on_manufacturing_costs_in_textile_industry
2) William V. “Bill” McCrary Jr., 2018 STATE OF THE U.S. TEXTILE INDUSTRY ADDRESS, http://www.ncto.org/2018-state-of-the-u-s-textile-industry-address/
3) How HVAC Affects Employee Productivity,https://www.alfordmechanical.com/blog/how-hvac-affects-employee-productivity
4) http://www.revistasg.uff.br/index.php/sg/article/viewFile/1104/512
5) Want More Productive Workers? Adjust Your Thermostat, https://www.fastcompany.com/3001316/want-more-productive-workers-adjust-your-thermostat
50
51. Energy Program Management and Measurement
A Proper Metrics Program is Essential to Continuous Improvement in
Energy Productivity Management.
Some key points on metrics:
• Always collect Raw Data Elements and extrapolate views from a common data set.
• Role up Common Data elements into indicators and information views that have the
appropriate level of abstraction for each discussion maker.
• Energy is the common denominator across all business elements so measurements
should always evaluate energy usage to other business activities.
• Metrics are to be used to make business decisions at various levels and should not be
manipulated to improve perspective or used for disciplinary purposes.
• Collecting data should be embedded in everyday work processes not a separate
metrics collection activity in addition the mission process.
51
52. Energy Program Management and Measurement
52
Project Number/Name
Project Cost Calculator
PA Amount Cost Design SIOH Check-Sum
$261,000.00 $225,000.00 $22,500.00 $13,500.00 $261,000.00
Energy Calculator (Mowing) Dem/Yr Totals $ Usage $ Demand $
Unit Costs X Acres
Usage (Acres) $9.0 40 300 $108,000
Includes fuel costs
$108,000
Savings Calculator (Fuel) Dem/Yr Totals $ Usage $ Demand $
Mowing Unit Costs X # MMBTU Acres Cost of Fuel
Diesel (Gal) $3.7 40 0.8 1,104.0 300 $35,520 $35,520
9,600.00
Savings Calculator (Fuel) $0
Proposed Usage Unit Costs X # MMBTU Acres Cost of Fuel
First Year $3.7 1 10 345.0 300 $5,400 $5,400
Subsequent Years $3.7 1 3 103.5 300 $1,620 $1,620
$42,540
Estimated Savings (Fuel) X # MMBTU kWH Cost of Fuel
First Year $3.7 1 10 759.0 300 $5,400 $5,400
Subsequent Years $3.7 1 3 1,000.5 300 $1,620 $1,620
$7,020
Land Preparation
Unit Price X # MMBTU Acres Cost of Prepartion
Land Preparation $750.0 1 6.8 234.6 300 $225,000.0 $225,000
Bio Mass Production
Switch Grass Unit Price X # MMBTU Acres Cost of Prepartion Totals $
Planting (Acre) $300.0 1 10 0.0 0 $0.0 $0
Havesting (tons/acre) $25.0 10 2 0.0 0 $0.0 $0
Miscanthus X # MMBTU Acres Cost of Prepartion
Planting $350.0 1 10 345.0 300 $105,000.0 $105,000
Havesting (tons/acre) $37.5 20 2 1,380.0 300 $225,000.0 $225,000
$163.0 $163
Total Crop Production X # MMBTU Acres Cost of Prepartion
20 1,725.0 300 $120,000.0 $330,000
Bio_Mass Production Unit Price X # MMBTU Acres Ave. Value of Crop
Crop Value (Standing) $2.083 20.0 6.8 108,000.0 300 $225,000.0 $225,000
Facility Savings Totals MMBTU Totals $ Usage $ Demand $
108,000.0 $333,000 $0 $0
Energy Other Total
$2,590,345 ($218,451) $2,371,894
109.21% -9.21% 100%
First Year Savings $246,980
Energy Savings Worksheet
NKAK130902 Bio-Mass Growth/Harvesting Project
Status as of 12/05/2011
NKAK130902 - Bio-Mass Growth/Harvesting Project
Energy Savings to Other Savings Ratio
Collection of Raw Data
• Only collect “Raw Primitives”
• Where possible common data
formats/units and nomenclatures
• Avoid using calculated data
• Collecting data should be
integrated with task completion
activities not a separate activity
• A common data repository should
feed all information reporting
53. Energy Program Management and Measurement
53
Data and Information Repository
• Build information views by rolling
up data from common data sets
• Allow for drill down into the data
to allow for status clarification
• Provide information at the
appropriate level of abstraction for
the right view of decision makers
• I.e. CEOs should not be seeing the
same information view as mid-
managers or the view provided
technicians, but all views should be
driven by the same primitive data
ACES Project
Number
Date Added/
Updated
$$
Status
FY Funds LocalStatus Facility Project
Costs
Annual Energy
Savings
Annual
MMBTUs
Saved
First Year
$$ Saved
SIR SPB Eng/
Main %
BIR Life
in
Years
Action Taken ACES
UPDATED
NKAK951010C 01/04/00 FND 2009 NRG CON-CPLT AFSO21 SUSTAIN REPLACE BOILER VQ 882 $117,100 $51,521 1,042.1 $51,521 3.81 4.09 na 8.799 20 09/17/08
NKAK951035 01/05/00 FND 2009 NRG CON-CPLT AFSO21 SUSTAIN REPAIR HEAT VARIOUS BLDGS $278,000 $20,911 899.6 $20,911 1.48 10.58 na 1.504 20 02/19/12
NKAK021038 01/06/00 FND 2009 NRG CON-CPLT AFSO21 SUSTAIN REPAIR BASE SUPPLY HVAC BLDG 450 $624,500 $46,975 2,020.9 $46,975 2.4 6 na 1.504 20 10/26/09
NKAK041001C 01/07/00 FND 2009 NRG CON-CPLT AFSO21 SUSTAIN REPLACE BOILER VQ 850 $65,000 $10,514 743.5 $10,514 4.03 4.1 na 3.235 20 01/06/93
NKAK100902 01/08/00 FND 2010 NRGS CON-CPLT Renewable: STUDY PHOTO VOLTAIC ARRAY POWER GENERATION $50,000 $0 0.0 $0 0 0 na 0.000 20 01/00/00
NKAK090902 01/09/00 FND 2009 NRGS CON-CPLT COMMERCIAL VEHICLE INSPECTION LIGHTING AUDIT $5,000 $0 0.0 $0 0 0 na 0.000 20 09/08/13
NKAK090909 01/10/00 FND 2009 NRGS CON-CPLT ENERGY AUDIT: LITTLE ROCK AFB $270,000 $0 $0 0 0 na 0.000 20 01/00/00
NKAK981004A 11/05/11 FND 2009 NRG CON-CPLT AFSO21 SUSTAIN REPLACE BOILER VQ 884 $117,100 $6,312 372.9 $6,312 1.67 10.03 na 1.078 20 09/17/08
NKAK091076 02/14/11 FND 2010 NRG CON-CPLT Repair Replace EMCS Controls Multi-Facs $324,000 $59,800 36,247.0 $59,800 2.7 6 3.691 20 Created BLCC/energy Calcs 10/19/11 R2228 R3484
R3487
R3485
R3489
R3486
R3491
Subtotal $1,850,700 $196,033 41,326.0 $196,033
NKAK081039z 02/15/11 FND 2010 ECP CON-STRT Repair Replace Water Storage Tank System $2,780,000 $348,440 129.90 $271,215 4.9 7 3.902 40 Created BLCC/energy Calcs 10/19/11 N1172 Q6083 Q6458
NKAK081009 02/15/11 FND 2010 SRM CON-STRT Energy conservation Sustain Repair Center Of Excellence Air
Handlers
$1,095,000 $116,223 2766.00 $116,223 2.2 8 70% 2.123 20 Created BLCC/energy Calcs 10/19/11 Q2924
NKAK081022 11/18/11 FND 2009 NRG CON-STRT SUSTAIN REPAIR PMEL STEAM BOILER BLDG 344 $140,300 $14,544 949.6 $14,544 3.8 4.55 na 2.073 20 140300 08/06/94
NKAK081023 11.18/11 FND 2009 NRG CON-STRT Sustain Repair 19 MOS HVAC Bldg 350 $1,452,800 $7,101 197.7 $7,101 2.01 8.44 na 0.098 20 1452800 08/17/77
NKAK091105 10/12/11 FND 2011 NRG AWARDED Bldg 1230 AHU_VAV Sys $1,900,000 $117,822 7,568.2 $173,258 1.25 12.91 72% 1.824 20 Created BLCC/energy Calcs 10/19/11 M3928
NKAK101019 02/18/11 FND 2011 NRG AWARDED Bldg 246 HVAC Upgrade $590,671 $29,478 1,729.0 $37,692 1.04 15.67 77% 1.276 20 Modified by AMC before submission. 10/19/11 R2588
NKAK071016 01/21/00 FND 2010 SRM CON-STRT SUSTAIN REPAIR CORROSION CONTROL HVAC $293,000 NULL NULL NULL NULL na #VALUE! 20 06/27/51
NKAK091014 01/22/00 FND 2009 NRG CON-STRT REPAIR REPLACE BASE ELECTRIC METERS $1,340,000 $0 0.0 $0 0 0 na 0.000 20 1340000 08/15/51
NKAK091111 01/23/00 FND 2009 NRG CON-STRT Adv Elec Meters: REPAIR INSTALL AMR ELECTRIC METERS $60,000 $0 0.0 $0 0 0 na 0.000 20 60000 07/20/61
NKAK951088 01/24/00 FND 2010 SRM CON-STRT SUSTAIN REPAIR ROOF AIRCRAFT MAINTENANCE SHOP $520,000 $3,372 236.00 $3,372 0.4 37 na 0.130 20 12/12/68
NKAK991070A 01/25/00 FND 2010 SRM CON-STRT REPAIR 314 MXG HQ ROOF/FACADE $1,750,000 NULL NULL NULL NULL na #VALUE! 20 07/21/84
NKAK091075 11/18/11 FND 2010 SRM CON-STRT SUSTAIN REPAIR CoE CHILLER/BOILER SYSTEMS $1,040,000 % % 1.55 10.27 na #VALUE! 20 01/00/00
NKAK101087 02/16/11 FND 2011 NRG AWARDED Upgrade Lighting_Multi Facs $700,000 $91,792 2,717.6 $91,792 1.69 4.66 na 2.623 20 Awarded - BLCC/energy Calcs 10/19/11 R5649 W3194
NKAK101108 02/17/11 FND 2011 NRG AWARDED Bldg 280 and 282 HVAC Replacement $3,697,142 $206,984 10,118.2 $206,984 1.3 11 76% 1.120 20 Created BLCC/energy Calcs 10/19/11 R2697 R5441 R5442
NKAK111030 10/11/11 FND 2011 NRG AWARDED Repair Install Multi_FACs EMCS Controls $1,235,379 $100,141 6,823.8 $100,141 1.16 10.9 na 1.621 20 Modified by AMC before submission. 10/19/11 W5777
NKAK1111171 07/15/11 FND 2011 Other AWARDED EMERGENCY INSTALL SPARE AMR UTILITY METERS $99,000 $0 0.0 $0 0 0 na 0 0 No Action 10/19/11
NKAK101046 11/04/11 FND 2011 SRM CON-STRT SUSTAIN REPAIR DORM 718 ROOF $170,000 $14,532 648.0 $14,532 1.35 11.7 na 1.710 20 Created BLCC/energy Calcs
NKAK971024A 11/04/11 FND 2011 SRM CON-STRT SUSTAIN REPAIR WINDOWS Bld-1250 $510,000 $27,176 1,141.7 $27,176 1.04 15.85 na 1.066 20 Created BLCC/energy Calcs
WOX8535 11/28/11 FND 2012 SRM CON-STRT Faucet Flow Restrictors - Base Wide $10,000 $137,987 1,626.8 $140,515 63.34 0.07 98% 281.030 20 BLCC Work Began on Replacements
NKAK091037 11/04/11 FND 2011 SRM AWARDED Bldg 259 HVAC Upgrade $710,000 $43,759 1,942.6 $43,759 1.25 12.91 85% 1.233 20 Created BLCC/energy Calcs 10/19/11 P7007 R5440
Subtotal $20,093,292 $1,259,351 38,595.2 $1,248,304
NKAK091043 10/16/11 APV 2012 NRG RTA Sustain Repair Facility HVAC Systems $938,000 $66,443 3,717.2 $78,875 1.33 12.01 83% 1.682 20 FY12 O&M funds are reserved 10/12/11 R2697 R5437 R5441 R5442
Subtotal $938,000 $66,443 3,717.2 $78,875
NKAK991018 11/28/11 FND-DES 2012 NRG REQ-DES Sustain Repair VQ 1020 HVAC System $750,000 $33,056 1,548.8 $48,113 1.17 15.59 72% 1.283 20 Design Funds Apvd upto $60K Max 10/19/11 W0651
NKAK101057 11/28/11 APV 2012 NRG RTA Sustain Repair Replace Intel-Tactics Roof, Bld 380 $110,000 $13,634 1,671.3 $15,122 2.38 7.27 90% 2.749 20 Validated by AFCESA 10/27/11 W0135
NKAK091102 11/28/11 APV 2012 NRG RTA Bldg 340, Repair Install Survival Equipment HVAC $460,000 $32,047 2,024.1 $43,623 1.54 10.57 72% 0.000 Validated by AFCESA 10/19/11
NKAK091100 11/28/11 APV 2012 NRG RTA Repair Install Dorm 748 HVAC $563,000 $37,749 1,881.5 $50,852 1.44 11.06 72% 1.806 20 Validated by AFCESA 10/28/11 R5449
NKAK011067 11/28/11 APV 2012 NRG RTA Bldg 1240, Repair Replace Altitude Chamber HVAC $459,000 $26,905 1,591.4 $36,713 1.31 12.51 71% 1.600 20 Validated by AFCESA
Subtotal $2,342,000 $0 8,717.1 $0
Total Fund Energy Projects (FY09 - FY12) $25,223,992 $1,521,827 92,355.5 $1,523,212
NKAK101688 02/17/11 UNF 2013 NRG DES-STRT Water Conservation Parallel Flow B570 & B2998 $199,500 $12,289 482.2 $16,053 1.31 12.43 73% 1.609 20 BLCC Calcs and ACES Updated 11/28/11 R9787 W8784
NKAK130902 12/07/11 UNF 2013 NRG PJTAPPR Bio-Mass Growth/Harvesting Project $261,000 $333,000 108,000.0 $246,980 7.8 1.16 109% 9.463 10 Analysis and BLCC Calcs Completed X4853
Subtotal $460,500 $345,289 108,482.2 $263,033
LED Exit Light 09/28/11 UNF 2013 NRG AMC-Proj._LED Exit Light $70,785 $22,503 #REF! $22,503 1.61 4.63 6.358 20 W9361 X2829
NKAK101085 02/15/11 UNF 2013 NRG PJTAPPR Bldg 746 HVAC Upgrade $600,000 $50,570 1,865.0 $63,439 1.9 9 50% 2.115 20 Created BLCC/energy Calcs 10/19/11 W0656
NKAK110901 02/18/11 UNF 2013 NRG BSE SIA Audit Assessment $270,000 Null 0.000 10/19/11 R9796
NKAK110909 10/14/10 UNF 2013 NRG PJTAPPR Base Wide Water Leak Detection Survey $100,000 $39,557 81.7 $39,557 2 3 100% 7.911 20 Energy Anlysis/BLCC Complete 10/19/11 X0162
NKAK111033 12/30/10 UNF 2013 NRG BSE Bldg 620 HVAC and Bldg Envelope Upgrade $550,000 $47,973 3,354.0 $55,936 1.25 12.91 88% 2.034 20 Energy Anlysis/BLCC Complete X2595
NKAK011009 11/04/11 UNF 2014 NRG BSE SUSTAIN REPAIR TCAC CHILLERS $400,000 0.0 1 14 0.000
NKAK092001 03/04/00 UNF 2009 NRG CON-CPLT Energy Cons: Improve HVAC Efficiency $275,000 $11,872 605.0 $11,872 0.4 19 na 0.863 20 275000 01/00/00
NKAK121022 07/07/11 UNF 2016 NRG BSE Bldg 356, REPAIR/REPLACE ERRC BAY ROOF $1,100,000 $75,000 4,876.0 $75,000 1.364 20 W9361 X2829
NKAK121054 06/30/11 UNF 2013 NRG PJTAPPR AMC-Proj._Multi Facility HVAC Recommissioning $353,305 $70,091 8,474.2 $70,091 0.8 4 77% 3.968 20 Energy Anlysis/BLCC Complete 10/19/11
Subtotal $3,719,090 $317,566 #REF! $338,398
NKAK081063 03/31/11 UNF 2013 SRM DES-STRT Bldg 956 Bowling Center HVAC $40,000 $0 0.0 $0 Wrk w/Eng to develop project Q8015
NKAK091036 03/02/11 UNF 2013 SRM Acpt-Bid Sustain Repair Chapel HVAC System $756,856 $43,480 1,824.6 $58,634 1.26 12.85 71% 1.549 20 PDFs, Forwarded to AMC, 10/19/11 Q9354
NKAK101017 10/19/11 UNF 2012 SRM RTA Bldg 1240, Repair Replace Altitude Chamber Roof $473,500 $17,126 893.3 $23,205 0.79 20.4 0.980 20 Project SIR not high enough
NKAK041001A 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 850 $2,260,000 $17,826 721.7 $17,826 0.17 99 0.158 20 Project SIR not high enough
NKAK091045 11/5/2011 UNF 2013 SRM DSG REPAIR DORMITORY 718 $4,234,000 $23,251 1,036.8 $28,251 0.11 149 0.133 20 Project SIR not high enough
NKAK121013 07/07/11 UNF 2013 SRM DSG Sustain Repair VAQ 880 HVAC System $1,200,000 $33,238 1,480.6 $54,324 0.7 22.09 59% 0.905 20 Project SIR not high enough
NKAK951010A 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 882 $2,260,000 $71,909 1,667.3 $88,167 0.63 25.63 0.780 20 Project SIR not high enough
NKAK981004 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 884 $2,500,000 $26,415 1,491.5 $42,674 0.32 52.96 0.341 20 Project SIR not high enough
NKAK071055 11/5/2011 UNF 2016 SRM DSG SUSTAIN REPAIR PHOTO LAB ROOF $180,000 NULL NULL NULL NULL NULL
NKAK081030 11/5/2011 UNF 2016 SRM DSG SUSTAIN REPAIR VQ 1024 HVAC $600,000 NULL NULL NULL NULL NULL
Status as of 12/05/2011
NRG Project Waiting for Validation & Funding:
Projects Special Advance Authority:
Projects Validated for AFCEA NRG Funds:
Energy Projects Currently Funded:
Possible NRG Projects Not RTA Yet:
Energy Projects Completed:
Energy Projects Reported in ACES With Current BLCC SIR/SPB
Work Order #
SRM Energy Projects
NKAK991018 11/28/11 FND-DES 2012 NRG REQ-DES Sustain Repair VQ 1020 HVAC System $750,000 $33,056 1,548.8 $48,113 1.17 15.59 72% 1.283 20 Design Funds Apvd upto $60K Max 10/19/11 W0651
NKAK101057 11/28/11 APV 2012 NRG RTA Sustain Repair Replace Intel-Tactics Roof, Bld 380 $110,000 $13,634 1,671.3 $15,122 2.38 7.27 90% 2.749 20 Validated by AFCESA 10/27/11 W0135
NKAK091102 11/28/11 APV 2012 NRG RTA Bldg 340, Repair Install Survival Equipment HVAC $460,000 $32,047 2,024.1 $43,623 1.54 10.57 72% 0.000 Validated by AFCESA 10/19/11
NKAK091100 11/28/11 APV 2012 NRG RTA Repair Install Dorm 748 HVAC $563,000 $37,749 1,881.5 $50,852 1.44 11.06 72% 1.806 20 Validated by AFCESA 10/28/11 R5449
NKAK011067 11/28/11 APV 2012 NRG RTA Bldg 1240, Repair Replace Altitude Chamber HVAC $459,000 $26,905 1,591.4 $36,713 1.31 12.51 71% 1.600 20 Validated by AFCESA
Subtotal $2,342,000 $0 8,717.1 $0
Total Fund Energy Projects (FY09 - FY12) $25,223,992 $1,521,827 92,355.5 $1,523,212
NKAK101688 02/17/11 UNF 2013 NRG DES-STRT Water Conservation Parallel Flow B570 & B2998 $199,500 $12,289 482.2 $16,053 1.31 12.43 73% 1.609 20 BLCC Calcs and ACES Updated 11/28/11 R9787 W8784
NKAK130902 12/07/11 UNF 2013 NRG PJTAPPR Bio-Mass Growth/Harvesting Project $261,000 $333,000 108,000.0 $246,980 7.8 1.16 109% 9.463 10 Analysis and BLCC Calcs Completed X4853
Subtotal $460,500 $345,289 108,482.2 $263,033
LED Exit Light 09/28/11 UNF 2013 NRG AMC-Proj._LED Exit Light $70,785 $22,503 #REF! $22,503 1.61 4.63 6.358 20 W9361 X2829
NKAK101085 02/15/11 UNF 2013 NRG PJTAPPR Bldg 746 HVAC Upgrade $600,000 $50,570 1,865.0 $63,439 1.9 9 50% 2.115 20 Created BLCC/energy Calcs 10/19/11 W0656
NKAK110901 02/18/11 UNF 2013 NRG BSE SIA Audit Assessment $270,000 Null 0.000 10/19/11 R9796
NKAK110909 10/14/10 UNF 2013 NRG PJTAPPR Base Wide Water Leak Detection Survey $100,000 $39,557 81.7 $39,557 2 3 100% 7.911 20 Energy Anlysis/BLCC Complete 10/19/11 X0162
NKAK111033 12/30/10 UNF 2013 NRG BSE Bldg 620 HVAC and Bldg Envelope Upgrade $550,000 $47,973 3,354.0 $55,936 1.25 12.91 88% 2.034 20 Energy Anlysis/BLCC Complete X2595
NKAK011009 11/04/11 UNF 2014 NRG BSE SUSTAIN REPAIR TCAC CHILLERS $400,000 0.0 1 14 0.000
NKAK092001 03/04/00 UNF 2009 NRG CON-CPLT Energy Cons: Improve HVAC Efficiency $275,000 $11,872 605.0 $11,872 0.4 19 na 0.863 20 275000 01/00/00
NKAK121022 07/07/11 UNF 2016 NRG BSE Bldg 356, REPAIR/REPLACE ERRC BAY ROOF $1,100,000 $75,000 4,876.0 $75,000 1.364 20 W9361 X2829
NKAK121054 06/30/11 UNF 2013 NRG PJTAPPR AMC-Proj._Multi Facility HVAC Recommissioning $353,305 $70,091 8,474.2 $70,091 0.8 4 77% 3.968 20 Energy Anlysis/BLCC Complete 10/19/11
Subtotal $3,719,090 $317,566 #REF! $338,398
NKAK081063 03/31/11 UNF 2013 SRM DES-STRT Bldg 956 Bowling Center HVAC $40,000 $0 0.0 $0 Wrk w/Eng to develop project Q8015
NKAK091036 03/02/11 UNF 2013 SRM Acpt-Bid Sustain Repair Chapel HVAC System $756,856 $43,480 1,824.6 $58,634 1.26 12.85 71% 1.549 20 PDFs, Forwarded to AMC, 10/19/11 Q9354
NKAK101017 10/19/11 UNF 2012 SRM RTA Bldg 1240, Repair Replace Altitude Chamber Roof $473,500 $17,126 893.3 $23,205 0.79 20.4 0.980 20 Project SIR not high enough
NKAK041001A 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 850 $2,260,000 $17,826 721.7 $17,826 0.17 99 0.158 20 Project SIR not high enough
NKAK091045 11/5/2011 UNF 2013 SRM DSG REPAIR DORMITORY 718 $4,234,000 $23,251 1,036.8 $28,251 0.11 149 0.133 20 Project SIR not high enough
NKAK121013 07/07/11 UNF 2013 SRM DSG Sustain Repair VAQ 880 HVAC System $1,200,000 $33,238 1,480.6 $54,324 0.7 22.09 59% 0.905 20 Project SIR not high enough
NKAK951010A 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 882 $2,260,000 $71,909 1,667.3 $88,167 0.63 25.63 0.780 20 Project SIR not high enough
NKAK981004 11/5/2011 UNF 2013 SRM BSE REPAIR VQ 884 $2,500,000 $26,415 1,491.5 $42,674 0.32 52.96 0.341 20 Project SIR not high enough
NKAK071055 11/5/2011 UNF 2016 SRM DSG SUSTAIN REPAIR PHOTO LAB ROOF $180,000 NULL NULL NULL NULL NULL
NKAK081030 11/5/2011 UNF 2016 SRM DSG SUSTAIN REPAIR VQ 1024 HVAC $600,000 NULL NULL NULL NULL NULL
NKAK001092 11/5/2011 APV 2017 SRM RTA REPAIR LIGHTS SMALL BASE LAKE REC AREA $60,000 NULL NULL NULL NULL NULL
NKAK061081 11/5/2011 UNF 2017 SRM DSG REPAIR WASH RACK UTILITY SYSTEMS $60,000 NULL NULL NULL NULL NULL
NKAK091096 11/5/2011 UNF 2017 SRM DSG REPAIR REPLACE CHAPEL LIGHTS/WINDOWS $110,000 NULL NULL NULL NULL NULL
NKAK101052 11/5/2011 UNF 2017 SRM DSG SUSTAIN REPAIR MULTI-FACILITY ROOFS $1,012,500 NULL NULL NULL NULL NULL
NKAK0910961 11/18/2011 FND 2016 SRM CNS SUSTAIN REPAIR CHAPEL ROOF $245,000 $7,434 368.7 $7,434 1.17 14.45 na
NKAK111027 11/5/2011 UNF 2016 SRM BSE REPAIR/REPLACE AUTO SHOP BAY DOORS $40,000 NULL NULL NULL NULL NULL
NKAK981038 11/5/2011 UNF 2016 SRM BSE SUSTAIN REPAIR PHOTO LAB HVAC $330,000 NULL NULL NULL NULL NULL
NKAK031056 11/5/2011 UNF 2018 SRM BSE CONSTRUCT MODERNIZE INSTALL HVAC COMM WAREHOUSE $50,000 NULL NULL NULL NULL NULL
NKAK101018 11/5/2011 UNF 2018 SRM BSE REPAIR INSTALL CORROSION CONTROL HVAC $100,000 NULL NULL NULL NULL NULL
NKAK101058 11/5/2011 UNF 2018 SRM DSG REPAIR REPLACE 19 AMXS HVAC SYSTEM $280,000 NULL NULL NULL NULL NULL
NKAK011007 11/5/2011 UNF 2019 SRM DSG SUSTAIN REPAIR CLUBHOUSE HVAC SYSTEM $150,000 NULL NULL NULL NULL NULL
NKAK101040 11/5/2011 UNF 2019 SRM BSE SUSTAIN REPAIR MXS HVAC SYSTEM $350,000 NULL NULL NULL NULL NULL
NKAK101092 11/5/2011 UNF 2019 SRM BSE SUSTAIN REPAIR VQ 1036 HVAC $600,000 NULL NULL NULL NULL NULL
NKAK111028 11/5/2011 UNF 2019 SRM BSE SUSTAIN REPAIR REPLACE 19 MXG AHU $340,000 NULL NULL NULL NULL NULL
NKAK121015 11/5/2011 UNF 2019 SRM BSE REPAIR REPLACE BASE BOLLARD LIGHTING $400,000 NULL NULL NULL NULL NULL
NKAK991019 11/5/2011 UNF 2016 SRM BSE SUSTAIN REPAIR AIRCRAFT BATTERY SHOP HVAC $27,000 NULL NULL NULL NULL NULL
NKAK021055 11/5/2011 UNF 2014 SRM RTA REPAIR DORMITORY 854 $4,400,000 NULL NULL NULL NULL NULL
NKAK071040 11/5/2011 UNF 2014 SRM BSE SUSTAIN REPAIR NDI LAB HVAC $70,000 NULL NULL NULL NULL NULL
NKAK081051 11/5/2011 UNF 2014 SRM DSG SUSTAIN REPAIR SURVIVAL EQUIPMENT SHOP ROOF $335,000 NULL NULL NULL NULL NULL
NKAK081055 11/5/2011 UNF 2014 SRM DSG CONSTRUCT HANGAR 282 PAINT STORAGE HVAC $110,000 NULL NULL NULL NULL NULL
NKAK0910501 11/5/2011 UNF 2014 SRM DSG REPAIR INSTALL COE SERVER ROOM HVAC $30,000 NULL NULL NULL NULL NULL
NKAK091071 11/5/2011 UNF 2015 SRM BSE REPAIR HANGAR 250 $19,500,000 NULL NULL NULL NULL NULL
NKAK091094 11/5/2011 UNF 2014 SRM DSG REPAIR 53AS HVAC SYSTEM $180,000 NULL NULL NULL NULL NULL
NKAK961037 11/5/2011 UNF 2014 SRM DSG REPAIR SUPPLY WAREHOUSE LIGHTING $25,000 NULL NULL NULL NULL NULL
NKAK081047 11/5/2011 UNF 2015 SRM BSE SUSTAIN REPAIR BASE SUPPLY ROOF $30,000 NULL NULL NULL NULL NULL
Subtotal $43,338,856 $240,678 9,484.5 $320,515
NKAK133006 02/17/11 UNF 2013 ECP PJTAPPR Building 250 Wind/Solar Initiative $4,500,000.00 $529,763 16,191.3 $434,867 13.8 10.58 50% 1.933 20 Created BLCC/energy Calcs x2313
NKAK133007 03/09/11 UNF 2013 ECP PJTAPPR Building 988 Wind/Solar Generation $500,000.00 $32,600 996.4 $33,025 1.25 15.14 50% 1.321 20 Created BLCC/energy Calcs 02/17/11 x2134
NKAK133008 07/19/11 UNF 2013 ECP PJTAPPR Landfill, ECIP-Photo Voltaic Solar Array $13,000,000.00 $799,477 18,930.9 $799,477 1.23 16.26 100% 1.230 20 Created BLCC/energy Calcs 02/17/11
NKAK141008 UNF 2014 ECP PJTAPPR Micro-Grid Project $3,000,000.00 $558,750 3,736.4 $458,750 4.42 3.76 3.058 20 Waiting to be Programmed x2305
Subtotal $21,000,000 $1,920,590 39,854.9 $1,726,119
NKAK090907 11/04/11 UNF 2013 NRGS PJTAPPR RENEWABLE: C130 CoE CAMPUS THERMAL STORAGE UNIT STUDY $30,000 02/17/11 W0656
NKAK090905 11/04/11 UNF 2013 NRGS BSE LANDFILL GAS-TO-ENERGY STUDY $25,000
NKAK090908 11/04/11 UNF 2013 NRGS PJTAPPR RENEWABLE: C130 TEST CELL WIND TURBINE STUDY $30,000
NKAK110900 11/04/11 UNF 2013 NRGS PJTAPPR DRYING TOWER THERMAL ENERGY RECOVERY STUDY $30,000
NKAK090904 11/04/11 UNF 2014 NRGS DSG Water Well Feasibility Study $38,000
NKAK110904 11/04/11 UNF 2014 NRGS BSE Fleet Vehicle Us Metrics Study $150,000
NKAK090906 11/04/11 UNF 2013 NRGS BSE Electric Low Speed Vehicle Study $50,000
NKAK121047 11/04/11 UNF 2013 NRG BSE Repair/Install BX AMR Utility Meter $50,000
NKAK110905 11/04/11 UNF 2014 NRGS DSG AIRCRAFT WASH RACK WATER RECYCLING STUDY $30,000
NKAK121058 11/04/11 UNF 2013 NRG BSE Install Meter Head Transducers $40,000
Subtotal $473,000 $0 0.0 $0
95
Energy Projects in ACES (FY09 & FY19) - Totals $94,215,438 $4,345,950 #REF! $4,171,277
WO Log
Number
Date FY Funds Status Facility Project
Costs
Energy Savings Annual
MMBTUs
Saved
Energy Savings SIR SPB BIR Life
in
Years
Action Taken ACES
UPDATED
Subtotal $0 $0 0.0 $0
WO Log
Number
Date FY Funds Status Facility Project
Costs
Energy Savings Annual
MMBTUs
Saved
Energy Savings SIR SPB BIR Life
in
Years
Action Taken ACES
UPDATED
320607 11/04/11 UNF 2011 NRGS Bio-Mass Growth/Harvesting Project (ASU preliminary study) No Charge
320881 11/04/11 UNF 2013 NRG REM Information Reporting and Metrics ACES Programming Denied per Mike
Boyle
7/7/2011 x5437
Subtotal $0 $0 $0 $0
All Energy Projects In Progress - Totals $94,215,438 $0 0.0 $0
NRG Project Waiting for Validation & Funding:
ECIP Energy Projects:
Energy Studies and Small Energy Projects:
Possible NRG Projects Not RTA Yet:
Energy Projects in Conceptual Phase
Work Order #
SRM Energy Projects
Energy Project Work Orders Waiting to be Programed in ACES
Work Order #
56. Energy Program Management and Measurement
561) LBNL Indoor Environment Group, https://iaqscience.lbl.gov/performance-temp-office, 2019
Student performance versus ventilation rate based on a study in Denmark [1]
Student performance versus temperature based on a study in Denmark [1]
The relationship between office work performance
and indoor temperature [1]
Samples of Energy Productivity Metrics
57. Energy Program Management and Measurement
57
Alarm Events:
• “First is degradation state related, which is characterized by
abnormal condition/fault-pattern in the energy
consumption during processing state of a machine tool.”[1]
• indicative for quality losses in products
• machine failures.
• determine machine specific and production load
• specific quality tolerances
• and monitor these during
• the processing state of each machine.
• “Second is disabled state related” [1]
• failure-event
• permanent or temporary termination of a machine to
perform a required function.
• Supports setting the next maintenance schedule based on
individual machine condition.
• Both alarm events, supports the better allocation of product
with quality loses or of machines for inspection.
The leading research question out of these survey is: “How can
electrical power data be presented on the production line to increase
the overall equipment effectiveness by supporting decisions?” [1]
1. …indicators will allow maintenance engineers to better prioritize and
schedule their actions
2. …machine shut-down decisions based on fault-monitoring to avoid
repair costs, downtime, and quality losses
3. …machine condition data labeled to products and machine tools, will
indicate quality of machining process…enable quality engineers to
improve their troubleshooting capabilities
Resource Efficiency Management Power Quality Metrics
1) Soner Emec*, Jörg Krüger, Günther Seliger, Online Fault-monitoring in Machine Tools Based on Energy Consumption Analysis and Non-invasive Data Acquisition for Improved Resource-efficiency,
https://www.researchgate.net/publication/295243700_Online_Fault-monitoring_in_Machine_Tools_Based_on_Energy_Consumption_Analysis_and_Non-invasive_Data_Acquisition_for_Improved_Resource-efficiency
[1]
58. 58
Author Biography
Dr. Robert L. Straitt began his professional career by upon joining the United States Air Force where he served
in the Regular Air Force, Air National Guard, and Air Force Reserve. During his time in the Air Force, he was a Flight
Test Engineer and Program Manager on advanced research and development programs, including developing and
testing advanced cryptology equipment for the Air Force, NATO, and National Security Agency Programs.
Dr. Straitt, managed a number of academic research initiatives with MIT Lincoln Laboratories, Oregon Graduate
Institute, University of New Hampshire, University of Corsica, and other institutions. Dr. Straitt later served as a
geophysics scientist at the Air Force Geophysics Laboratory where his duties included the monitoring foreign nuclear
weapons testing and managing the development of advanced digital mapping technologies.
Dr. Straitt, also served as NCOIC International Cooperative Programs Branch, Program Manager for a advanced
data collection and reporting programs, and Chief of an advanced software testing methodology program ($MART for
Software). Dr. Straitt was a supervisor responsible for facilities and nuclear weapons security, where he was certified
as training administrator. Dr. Straitt was successfully completed Air Force Space System Equipment technologies
training. Dr. Straitt finished his Air Force career developing domestic and international government/academic
cooperative research initiatives for SAF/IAQ.
More recently, Dr. Straitt has expanded his breath of technological expertise to include energy efficiency and renewable energy technologies, where he is Certified
through the Association of Energy Engineers as a Certified Energy Manager and Certified Demand Side Manager. Scholar. Dr. Straitt is a Member of the Homeland Security
Industrial Control Systems-Cyber Emergency Response Team and Member of the Homeland Security Information Network Users Group.
Dr. Straitt has been enrolled as a PhD student in Environmental Sciences, at the Arkansas State University-Jonesboro, where he is studying Variable Frequency Drive
technology and associate grid based control and communications technologies.
After leaving, activate duty with the Air Force, Dr. Straitt pursued a professional career in private industry as an engineer and consultant. Dr. Straitt has served as a
Tempest/EMI/EMC/EMP and Lightning Engineer, Certifying Official for AUTODIN and Tempest testing, managed the development/testing of Classified Automated Message
Handling Systems for GCCS (WMMICS) network, designed and implemented secure C4I systems for FEMA. Dr. Straitt has worked with some of the nation’s largest industrial
organizations to implement efficiency practices in diverse technologies from heavy manufacturing and telecommunications to environmental services. Dr. Straitt has also taught
engineering at the University of Corsica, France and guest lectured at other institutions and is a National Science Foundation Infinity Scholar.