An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Field Data Gathering Services — A Cloud-Based ApproachSchneider Electric
Utilities today wish to facilitate the capture of asset information in the field in a way that is not only scalable but cost effective. They need a system that is simple to use, inexpensive to implement, flexible enough to meet ever-changing needs, yet also powerful enough to cover a majority of their needs with immediacy. This paper describes Schneider Electric's powerful cloud-based solution to optimize the inspection and gathering of field information.
The Productization of the Data Center-- With the rapid evolution of the data center service provider segment, the concept of efficiency has expanded to embrace not only energy, but a multitude of elements including capital, operations, and the useful life of the facility as well. In this presentation, Chris Crosby, CEO of Compass Datacenters will demonstrate how the historical development of related industries dictates that productization is the required methodology to deliver these expanded efficiency requirements to an increasingly sophisticated customer base.
Schneider Electric aims to simplify data center design and build processes to improve speed, cost, and performance. They offer prefabricated modular data center solutions, reference designs, and a team of global experts. Their approach dramatically reduces design time and changes that increase costs and delays through standardized prefabricated components and reference architectures.
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
This document discusses how data center infrastructure management (DCIM) software can improve planning and reduce operational costs for data centers. It describes some of the key challenges DCIM addresses, such as faster response to business needs, higher availability, lower costs, and better capacity planning. It provides examples of how DCIM software can help with tasks like capacity planning, asset provisioning and monitoring, alarm handling, power and thermal monitoring, and analytics. The overall message is that DCIM gives organizations better control and visibility of their data center infrastructure.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
This presentation describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
Containerized Power and Cooling Modules for Data CentersSchneider Electric
Standardized, pre-assembled and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared to traditional data center power and cooling infrastructure. Prefabricated modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality.
This presentation compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
Field Data Gathering Services — A Cloud-Based ApproachSchneider Electric
Utilities today wish to facilitate the capture of asset information in the field in a way that is not only scalable but cost effective. They need a system that is simple to use, inexpensive to implement, flexible enough to meet ever-changing needs, yet also powerful enough to cover a majority of their needs with immediacy. This paper describes Schneider Electric's powerful cloud-based solution to optimize the inspection and gathering of field information.
The Productization of the Data Center-- With the rapid evolution of the data center service provider segment, the concept of efficiency has expanded to embrace not only energy, but a multitude of elements including capital, operations, and the useful life of the facility as well. In this presentation, Chris Crosby, CEO of Compass Datacenters will demonstrate how the historical development of related industries dictates that productization is the required methodology to deliver these expanded efficiency requirements to an increasingly sophisticated customer base.
Schneider Electric aims to simplify data center design and build processes to improve speed, cost, and performance. They offer prefabricated modular data center solutions, reference designs, and a team of global experts. Their approach dramatically reduces design time and changes that increase costs and delays through standardized prefabricated components and reference architectures.
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
This document discusses how data center infrastructure management (DCIM) software can improve planning and reduce operational costs for data centers. It describes some of the key challenges DCIM addresses, such as faster response to business needs, higher availability, lower costs, and better capacity planning. It provides examples of how DCIM software can help with tasks like capacity planning, asset provisioning and monitoring, alarm handling, power and thermal monitoring, and analytics. The overall message is that DCIM gives organizations better control and visibility of their data center infrastructure.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
This presentation describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
Containerized Power and Cooling Modules for Data CentersSchneider Electric
Standardized, pre-assembled and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared to traditional data center power and cooling infrastructure. Prefabricated modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality.
This presentation compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
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.
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This presentation demonstrates, through a series of examples, how data center infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.
The document discusses ensuring cyber security for industrial control systems and plants. It recommends implementing seven building blocks for cyber security: identifying critical assets, electronic access controls, user access controls, patching, anti-virus software, disaster recovery through backups, and logging and alerting. The document also promotes best practices like network segmentation, access controls, system hardening, and centralized cyber security management. Finally, it describes how the Foxboro Evo process automation system and the Critical Infrastructure Security Practice can help industrial plants develop and implement comprehensive cyber security programs.
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
The worlds of IT and Telecommunications Networking are converging bringing with them new possibilities and capabilities that can be deployed into the network A key transformation has been the ability to run IT based servers at network edge, applying the concepts of cloud computing.
It’s a key decision most data center managers will face in the next couple of years:
Should you retrofit, build, colocate, or move to the cloud? Each has its benefits, and own inherent risks and costs
Learn how you can achieve sustained energy performance by addressing the 4 key hurdles most clients have. Understand how to unlock the power of data from your facilities so help you achieve your business goals
Learn more about SCADA expert ClearSCADA:
- Simplicity & Enhanced User Experience for faster deployment and improved time-to-market
- Reduced Maintenance Efforts for protection of investment
- Enhanced Security capability for better protection of the system
- Enhanced Operational Intelligence to help optimize operations and maintenance activities
- Integrated with the complete Schneider Electric Telemetry portfolio
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
Field work is an aspect of operations and asset management that presents many challenges to utilities. Managers need efficient ways to instruct crews on the location and details of work. Field crews need intuitive and focused software tools that enable them to find and accomplish their work. But paper-based processes are still used for field work at our utility and many others. Why? Because typical mobile solutions are difficult to deploy, license, secure, integrate with enterprise systems, and maintain over time. Our resources are already stretched thin, so adding or expanding a complex solution is just not feasible.
This presentation proposes the mobile work management solution of our dreams. Imagine a solution that is simple to implement and addresses the variety of field work that our organization needs to accomplish. Our field personnel could deploy lightweight apps to their mobile devices in just minutes, log in seamlessly with their existing corporate credentials, and access their work instantly. They could work without internet connectivity, and their updates would be automatically synchronized to the enterprise when connectivity is re-established.
This dream mobile solution would enable the secure, unimpeded flow of digital information between the office and the field, accelerating our essential business workflows. We could quickly add as many users as needed to accomplish the task of the day. The solution would recognize that all field work has a location, and leverage our existing facility GIS to define work locations. Data captured in the field would include the information most relevant to our business, including work status and results, GPS breadcrumb trails, redline sketches of situations, and proposed edits to asset data.
We believe that the mobile work management solution of our dreams is within reach with today’s technology, and that it will truly lower our cost of doing business.
Practical Considerations for Implementing Prefabricated Data CentersSchneider Electric
Implementing prefabricated modular data centers has benefits like speed of deployment and predictability, but the process is different than traditional data centers. Some key differences in the process are that prefabricated data centers use system-level design instead of component design, have simplified site preparation since much work is done in the factory, and modules can be transported and installed more quickly than constructing systems on site. The practical considerations discussed in the document provide guidance for planning, permitting, procuring, and installing prefabricated modular data centers.
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
Preparing for the Future: How Asset Management Will Evolve in the Age of Smar...Schneider Electric
Most utilities struggle to organize information about their distribution network assets. Operations, engineering, accounting, and other business functions all use different tools and systems, forcing grid operators to synchronize separate databases. This paper presents an improved approach to managing grid assets by establishing a ‘single source of the truth,’ eliminating special-purpose databases, utilizing spatial databases, and incorporating a workflow management tool to support database updates.
Containerized Power and Cooling Modules for Data Cen...Schneider Electric
Standardized, pre-assembled and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared to traditional data center power and cooling infrastructure.
Prefabricated modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality. This white paper compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.
Microgrid & renewable integration at burbank water & powerSchneider Electric
This presentation reviews Schneider Electric's collaboration avec Burbank Water and Power, a cutting-edge utility company in Burbank, California, to achieve challenging renewable energy requirements and provide reliable, safe, and affordable power to its customers using advanced technology solutions.
To prepare for increased renewable energy requirements, Burbank Water and Power sought a system to manage load, distributed energy resources, distributed storage systems, generation, and variable renewables in order to balance supply and demand and avoid undesirable voltage, power flow, and power quality problems. Burbank’s Integrated Automated Dispatch System (ADS) includes Schneider Electric’s advanced Power Control System (PCS) - for automatic generator control, load forecasting, and renewable forecasting - integrated with Schneider Electric’s OASyS SCADA and WeatherSentry system. The Integrated ADS will allow Burbank to co-optimize scheduling and dispatch of conventional supply resources, distributed generation, and demand-side resources, enable better control of inadvertent interchanges, and reduce reliance on external generation. Through the Integrated ADS, Burbank’s system operators will be able to manage the available system resources to optimize system reliability while achieving the most economic and sustainable energy supply portfolio.
Retrofit, build, or go cloud/colo? Choosing your best directionSchneider Electric
When faced with the decision of upgrading an existing data center, building a new data center or leasing space in a third party colocation data center, there are both quantitative and qualitative differences to consider. This session reviews several key factors to help make a sound decision including a business’ sensitivity to cash flow, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors.
Effect on Substation Engineering Costs of IEC61850 & System Configuration ToolsSchneider Electric
Change management, software configuration training, and human error all impact the cost associated with substation automation engineering. Object-oriented engineering approaches as defined in the IEC 61850 standard represent significant cost savings when compared to traditional methods using hardwire and Distributed Network Protocol (DNP3). New multivendor system configuration tools are described that further reduce substation automation engineering costs.
The document discusses essential elements of data center operations programs. It identifies 12 essential elements including environmental health and safety, personnel management, emergency preparedness, maintenance management, and performance monitoring. For each element, it outlines key tasks, risks, and opportunities. It also discusses common mistakes such as ineffective change management, lack of training, and failure to implement quality systems or metrics. Finally, it provides a process for building a world-class data center operations program with steps like assessing current practices, analyzing results, and optimizing operations.
When it comes to designing, building, and operating mission critical data centers, simple is better. Prefabricated data center building blocks comprised of Power, Cooling and/or IT White Space can be connected to provide a semi or fully prefabricated data center solution. Prefabricated data center solutions provide multiple advantages to include predictable performance, faster deployment and, flexibility and scalability versus traditional build data centers. This presentation will show you how a pre-fabricated modular data center architecture can dramatically simplify your design and build process and lower your total cost of operation.
The document discusses trends in SCADA systems and architectures. It summarizes that SCADA systems are evolving to include features like improved control room management, alarm management, and change management. The architectures are expanding to include test and development systems, decision support systems, log servers, mobile access, and integration with technologies like GIS and video surveillance. Collaboration tools are being used to improve incident response. Future innovations may include more advanced HMI technologies, drones for monitoring infrastructure, and adoption of emerging computing technologies like virtualization.
Fundamentals of Managing the Data Center Life Cycle for OwnersSchneider Electric
Just as good genes do not guarantee health and well-being, a
good design alone does not ensure a data center is well-built and will remain efficient and available over the course of its life span.
For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This presentation describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Data center energy practitioner (dcep) certification training 2020Julius Neudorfer, DCEP
The document discusses the Data Center Energy Practitioner (DCEP) training program. The DCEP program certifies energy practitioners to evaluate the energy usage and efficiency opportunities in data centers. The training is offered at different levels, including a generalist level covering all disciplines, and specialist levels focusing on specific areas like HVAC or IT. The training involves classroom instruction, use of assessment tools like the Data Center Profiler, and exams. The goal is to accelerate energy savings in data centers by developing skilled practitioners, as data centers require significant expertise to properly assess energy usage and improvement potential.
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.
How Data Center Infrastructure Management Software Improves Planning and Cuts...Schneider Electric
Business executives are challenging their IT staffs to convert data centers from cost centers into producers of business value. Data centers can make a significant impact to the bottom line by enabling the business to respond more quickly to market demands. This presentation demonstrates, through a series of examples, how data center infrastructure management (DCIM) software tools can simplify operational processes, cut costs, and speed up information delivery.
The document discusses ensuring cyber security for industrial control systems and plants. It recommends implementing seven building blocks for cyber security: identifying critical assets, electronic access controls, user access controls, patching, anti-virus software, disaster recovery through backups, and logging and alerting. The document also promotes best practices like network segmentation, access controls, system hardening, and centralized cyber security management. Finally, it describes how the Foxboro Evo process automation system and the Critical Infrastructure Security Practice can help industrial plants develop and implement comprehensive cyber security programs.
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
The worlds of IT and Telecommunications Networking are converging bringing with them new possibilities and capabilities that can be deployed into the network A key transformation has been the ability to run IT based servers at network edge, applying the concepts of cloud computing.
It’s a key decision most data center managers will face in the next couple of years:
Should you retrofit, build, colocate, or move to the cloud? Each has its benefits, and own inherent risks and costs
Learn how you can achieve sustained energy performance by addressing the 4 key hurdles most clients have. Understand how to unlock the power of data from your facilities so help you achieve your business goals
Learn more about SCADA expert ClearSCADA:
- Simplicity & Enhanced User Experience for faster deployment and improved time-to-market
- Reduced Maintenance Efforts for protection of investment
- Enhanced Security capability for better protection of the system
- Enhanced Operational Intelligence to help optimize operations and maintenance activities
- Integrated with the complete Schneider Electric Telemetry portfolio
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
Field work is an aspect of operations and asset management that presents many challenges to utilities. Managers need efficient ways to instruct crews on the location and details of work. Field crews need intuitive and focused software tools that enable them to find and accomplish their work. But paper-based processes are still used for field work at our utility and many others. Why? Because typical mobile solutions are difficult to deploy, license, secure, integrate with enterprise systems, and maintain over time. Our resources are already stretched thin, so adding or expanding a complex solution is just not feasible.
This presentation proposes the mobile work management solution of our dreams. Imagine a solution that is simple to implement and addresses the variety of field work that our organization needs to accomplish. Our field personnel could deploy lightweight apps to their mobile devices in just minutes, log in seamlessly with their existing corporate credentials, and access their work instantly. They could work without internet connectivity, and their updates would be automatically synchronized to the enterprise when connectivity is re-established.
This dream mobile solution would enable the secure, unimpeded flow of digital information between the office and the field, accelerating our essential business workflows. We could quickly add as many users as needed to accomplish the task of the day. The solution would recognize that all field work has a location, and leverage our existing facility GIS to define work locations. Data captured in the field would include the information most relevant to our business, including work status and results, GPS breadcrumb trails, redline sketches of situations, and proposed edits to asset data.
We believe that the mobile work management solution of our dreams is within reach with today’s technology, and that it will truly lower our cost of doing business.
Practical Considerations for Implementing Prefabricated Data CentersSchneider Electric
Implementing prefabricated modular data centers has benefits like speed of deployment and predictability, but the process is different than traditional data centers. Some key differences in the process are that prefabricated data centers use system-level design instead of component design, have simplified site preparation since much work is done in the factory, and modules can be transported and installed more quickly than constructing systems on site. The practical considerations discussed in the document provide guidance for planning, permitting, procuring, and installing prefabricated modular data centers.
Improving your PUE while consolidating into an existing live data centerSchneider Electric
While there are multiple consolidation options to consider, upgrading an existing data center has a significantly lower capital investment, requires no new real estate acquisition, can be phased to match IT refresh cycles and IT virtualization, and can be done while the data center is live. This session explores these considerations which are particularly important in the Federal space as well as a high density POD overlay discussion and approaches to reducing PUE.
Preparing for the Future: How Asset Management Will Evolve in the Age of Smar...Schneider Electric
Most utilities struggle to organize information about their distribution network assets. Operations, engineering, accounting, and other business functions all use different tools and systems, forcing grid operators to synchronize separate databases. This paper presents an improved approach to managing grid assets by establishing a ‘single source of the truth,’ eliminating special-purpose databases, utilizing spatial databases, and incorporating a workflow management tool to support database updates.
Containerized Power and Cooling Modules for Data Cen...Schneider Electric
Standardized, pre-assembled and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared to traditional data center power and cooling infrastructure.
Prefabricated modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality. This white paper compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.
Microgrid & renewable integration at burbank water & powerSchneider Electric
This presentation reviews Schneider Electric's collaboration avec Burbank Water and Power, a cutting-edge utility company in Burbank, California, to achieve challenging renewable energy requirements and provide reliable, safe, and affordable power to its customers using advanced technology solutions.
To prepare for increased renewable energy requirements, Burbank Water and Power sought a system to manage load, distributed energy resources, distributed storage systems, generation, and variable renewables in order to balance supply and demand and avoid undesirable voltage, power flow, and power quality problems. Burbank’s Integrated Automated Dispatch System (ADS) includes Schneider Electric’s advanced Power Control System (PCS) - for automatic generator control, load forecasting, and renewable forecasting - integrated with Schneider Electric’s OASyS SCADA and WeatherSentry system. The Integrated ADS will allow Burbank to co-optimize scheduling and dispatch of conventional supply resources, distributed generation, and demand-side resources, enable better control of inadvertent interchanges, and reduce reliance on external generation. Through the Integrated ADS, Burbank’s system operators will be able to manage the available system resources to optimize system reliability while achieving the most economic and sustainable energy supply portfolio.
Retrofit, build, or go cloud/colo? Choosing your best directionSchneider Electric
When faced with the decision of upgrading an existing data center, building a new data center or leasing space in a third party colocation data center, there are both quantitative and qualitative differences to consider. This session reviews several key factors to help make a sound decision including a business’ sensitivity to cash flow, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors.
Effect on Substation Engineering Costs of IEC61850 & System Configuration ToolsSchneider Electric
Change management, software configuration training, and human error all impact the cost associated with substation automation engineering. Object-oriented engineering approaches as defined in the IEC 61850 standard represent significant cost savings when compared to traditional methods using hardwire and Distributed Network Protocol (DNP3). New multivendor system configuration tools are described that further reduce substation automation engineering costs.
The document discusses essential elements of data center operations programs. It identifies 12 essential elements including environmental health and safety, personnel management, emergency preparedness, maintenance management, and performance monitoring. For each element, it outlines key tasks, risks, and opportunities. It also discusses common mistakes such as ineffective change management, lack of training, and failure to implement quality systems or metrics. Finally, it provides a process for building a world-class data center operations program with steps like assessing current practices, analyzing results, and optimizing operations.
When it comes to designing, building, and operating mission critical data centers, simple is better. Prefabricated data center building blocks comprised of Power, Cooling and/or IT White Space can be connected to provide a semi or fully prefabricated data center solution. Prefabricated data center solutions provide multiple advantages to include predictable performance, faster deployment and, flexibility and scalability versus traditional build data centers. This presentation will show you how a pre-fabricated modular data center architecture can dramatically simplify your design and build process and lower your total cost of operation.
The document discusses trends in SCADA systems and architectures. It summarizes that SCADA systems are evolving to include features like improved control room management, alarm management, and change management. The architectures are expanding to include test and development systems, decision support systems, log servers, mobile access, and integration with technologies like GIS and video surveillance. Collaboration tools are being used to improve incident response. Future innovations may include more advanced HMI technologies, drones for monitoring infrastructure, and adoption of emerging computing technologies like virtualization.
Fundamentals of Managing the Data Center Life Cycle for OwnersSchneider Electric
Just as good genes do not guarantee health and well-being, a
good design alone does not ensure a data center is well-built and will remain efficient and available over the course of its life span.
For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This presentation describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Data center energy practitioner (dcep) certification training 2020Julius Neudorfer, DCEP
The document discusses the Data Center Energy Practitioner (DCEP) training program. The DCEP program certifies energy practitioners to evaluate the energy usage and efficiency opportunities in data centers. The training is offered at different levels, including a generalist level covering all disciplines, and specialist levels focusing on specific areas like HVAC or IT. The training involves classroom instruction, use of assessment tools like the Data Center Profiler, and exams. The goal is to accelerate energy savings in data centers by developing skilled practitioners, as data centers require significant expertise to properly assess energy usage and improvement potential.
Energy Star® Portfolio Manager – Assessing Your Portfolio of Public BuildingsTNenergy
This document provides an overview of ENERGY STAR Portfolio Manager and the process for benchmarking building energy performance. It discusses how Portfolio Manager can be used to measure, track, and benchmark energy use across buildings to identify underperformers and cost savings opportunities. A 4-step process is outlined for benchmarking that includes creating an account, adding a property, adding spaces, and entering energy meter data. Additional features like bulk data imports, multi-facility updates, and sharing data with master accounts are also summarized.
this is presentation on energy star in building.LongBun1
Save Energy
If you haven’t already, set up an account in ENERGY STAR Portfolio Manager to start benchmarking your building. Benchmarking will help you identify underperforming buildings to target for cost-effective measures and help you verify reductions from energy-saving efforts.
Conduct a Treasure Hunt
The first step to saving energy in your building is to start by looking. During an Energy Treasure Hunt, teams walk around a facility looking for quick ways to save energy. Those quick fixes can add up to big savings. Hundreds of organizations have used Energy Treasure Hunts to reduce their facilities’ energy use by 15 percent or more.
Ways to Save
Start saving with no- and low-cost approaches, and then use savings to pay for more extensive upgrades:
Upgrade your lighting. If your building relies on inefficient lighting, such as incandescent, halogen, HID, or T12 fluorescent, you’re missing out on significant savings. Updating your lighting can be a great first step when it comes to making your building an efficient one.
Operations & maintenance best practices. Efficient building operation reduces operating costs, maintains comfort, and extends equipment lifetime, all without significant capital investment.
Checklists of energy-saving measures. These checklists include energy-saving measures that can be implemented at no or low cost, or with rapid payback.
Energy-efficient products. Purchasing efficient products reduces energy costs without compromising quality. Learn more about ENERGY STAR certified products, estimate potential savings, and specify them in your purchasing policies and contracts.
Energy-saving competitions. Competitions can be a great way to motivate your team to find new efficiencies, engage occupants in your efforts, and multiply savings across your portfolio – all while helping the environment.
Building upgrades. Maximize your financial and energy savings by taking a staged approached to building upgrades that accounts for energy flows among systems.
Water, waste, and renewable energy. Check out EPA resources to expand your sustainability work to reduce water use, manage waste and materials, or purchase or install renewable energy.
Find Expert Help
EPA’s network of service and product providers (SPPs) have partnered with ENERGY STAR to offer you expert help with energy management when you need it. Many also offer innovative financing options and can help you identify, prioritize, and implement energy projects that not only cut costs and offset emissions, but can make your building more comfortable, too.
Evaluate the Economics of Energy Efficiency Projects
Making the business case for energy efficiency-related capital expense requires economic analysis. EPA provides several tools to help evaluate the economics of an energy efficiency project.
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This a compilation of the overall process in conducting energy audit based on my personal experiences, training that I attended in Malaysia, India and Japan and information sharing between fellow EE practitioners.Not to forget references from books and internet.
I believe this would benefit to those who wants to understand what is energy audit all about for beginners to become an energy auditor and to facilities owners to assess the need to conduct energy audit and energy audit proposals submitted by consultants
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Strategies for Re-Using Data Center Heat Energy and Their Impact on PUE (Both...Upsite Technologies
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- Learn about the benefits of recycling data center heat energy for your organization's bottom line and the environment.
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2. Agenda
• Data Center Green Standards
• Government Efforts
– Energy Star, Dept of Energy
• Building Rating Systems
– LEED
• Industry
– ASHRAE, ISO
• Hallmarks of a “Green” data center
2
4. Key attributes of EO 13514
Leadership in Environmental, Energy, and Economic Performance
4
Builds upon past policy & regulatory framework:
Energy Independence & Security Act, EO 13423, and
Energy Policy Act 2005
Defined Green House Gas (GHG) Emissions (e):
•Scope 1 – direct GHG-e from sources owned or
controlled by a Federal agency.
•Scope 2 – direct GHG-e resulting from generation of
electricity, heat, or steam purchased by a Federal
agency.
•Scope 3 – GHG-e from sources not owned or directly
controlled by a Federal agency but related to agency
activities such as vendor supply chains, delivery
services, employee travel and commuting.
5. Enterprise Greenhouse Gas Programs
Carbon Disclosure Project
(CDP)
The Climate Registry
(TCR)
Climate Action Reserve
(CAR)
Global reporting Initiative
(GRI)
EPA Climate Leaders
VOLUNTAR
Y
Regional Greenhouse
Gas Initiative (RGGI)
Reduce GHG by 10% from
power sector by 2018
EPA Mandatory Reporting
GHG Rule (2010)
Facilities > 25000 MT GHG
submit annual report
REGULATOR
Y
2010 California AB-32
Reduce GHG by 2020
to 1990 levels
EU Emission Trading
Scheme (EU ETS)
UK Carbon reduction
Commitment (UK CRC)
Reduce GHG by 80% in 2050
Vs 1990
National Greenhouse and
Energy Reporting
Streamlining protocol
International Regulatory & Policy Gaining Momentum
6. • Based on actual as-billed energy data
• Serves as a whole building indicator
• Peer group comparison of data center’s energy
performance
• Mix of fuels
• ENERGY STAR label to data centers with a
rating of 75 or higher (scale of 0-100)
• 39 data centers certified to date (June 2013)
ENERGY STAR certification for data
centers
6
7. ENERGY STAR - Portfolio Manager
7
• New version
coming out
July 10,
2013
8. 8 HP Confidential
ENERGY STAR rating/certification
Data Submission
for Potential certification
Step-4
Initiation
4 weeks
Step-1
Rating Initiation:
• Send proposal to client
• Decision to apply for Energy
Star rating.
• Define Energy Star rating
objectives
• Define Energy Star rating scope
• Determine key client
information: name, site, location
• Determine key technical
information: building area, data
center area, other spaces area
• Client approval
• Select certification team
• Notify the team to perform the
facility survey and data
collection
Rating Preparation:
• Verify eligibility
• Read service data sheet and
service delivery guide
• Define Survey date and
duration.
• Request facility Electrical &
Mechanical documents
• Utility bills –current/past 12
months or next 12 months
• Conduct preliminary data
analysis
• Understand preliminary elect. &
mechanical subsystems
• Understand metering
requirements
Execution:
• Site Visit and kick-off
meeting/presentation
• Educate the client about the
process & interview
• Conduct initial walk-through &
ensure as-built condition
• Define building total energy
• Define data center total IT
loads/UPS output
• Determine mechanical loads
power panels or if any is on UPS
• Determine/Verify energy
metering for total building and
data center
• Install energy meters in
designated locations if
necessary
Data submission:
• Create an account in portfolio
manager
• Submit all required monthly
energy data for the building and
the data center
• If rating is >75%; apply for
Energy Star
• Generate energy use statement
• Populate all data in the report
template
• Certify, Stamp and Finalize and
submit to Energy Star
• Handover portfolio manager
account after training to client for
future management
• If rating is <75%; implement
ECMs and re-apply.
Preparation
Step-2
Execution
Step-3
6 WEEKS-1 year +
9. DoE On-line Profiling Tool: Data Center Pro
9
INPUTS
• Description
• Utility bill data
• System information
• IT
• Cooling
• Power
• On-site gen
OUTPUTS
•Overall picture of
energy use and
efficiency
•End-use breakout
•Potential areas for
energy efficiency
improvement
•Overall energy use
reduction potential
10. DC Profiler Tool
To download the DC Profiler tool:
http://ecenter.ee.doe.gov/EM/tools/Documents/DCPro_Downloadable_InstallInstructions.pd
f10
11. DoE- Air Management Energy Assessment Tool
• Air management recommendations (actions)
• Potential for reducing the supply airflow rate
• Potential for increasing the supply air
temperature
• Estimates of the % energy reduction for
supply fans and chillers
The AM-Tool is a free Excel tool
for assessing the data center air-
management status and
providing actions and energy
savings.
11
12. To download tool and documentation
http://www1.eere.energy.gov/industry/saveenergynow/dc_pro.html
Unit Program Step
AHU Airflow cfm Step 1 AHU
AHU Supply Air Temperature °F Step 1 AHU
AHU Return Air Temperature °F Step 1 AHU
Equipment Temperature Rise °F Step 2 Equip
Equipment Airflow cfm Step 2 Equip
Number of Equipment Units - Step 2 Equip
Equipment Power W Step 2 Equip
IT-Equipment Intake Temperature °F Step 3 RCI
Typical Max IT-Equipment Intake
Temperature
°F Step 4 Main Input
Typical Min IT-Equipment Intake
Temperature
°F Step 4 Main Input
Recommended IT-Equipment Intake
Temperature Range
°F Step 4 Main Input
Allowable IT-Equipment Intake
Temperature Range
°F Step 4 Main Input
OUTPUTS
• Provide air-
management
recommendations
• Estimate the
potential for reducing
supply airflow rate
and increasing
supply air
temperature
• Estimate the
percentage of energy
reduction for fans
and chillers
DoE AM Tool-Required Inputs
12
INPUTS
• Air-handler unit data for
calculating Return
Temperature Index
(RTI) (energy metric)
• IT-equipment data for
calculating the RTI
metric
• IT-equipment intake
temperatures for
calculating Rack Cooling
Index (RCI) (equipment
cooling metric)
• Main input with
questions for
determining energy
savings and
recommendations
13. DoE Electrical Assessment Tool
To download the tool and user manual
http://www1.eere.energy.gov/industry/datacenters/docs/dcpro_eat.xls
Designed to help assess the potential savings from efficiency actions in the
electrical power chain of a data center
INPUTS
• Basic configuration and
efficiency information on
electrical system
components such as
transformers, generators,
uninterruptible power supply
(UPS), power distribution
unit (PDU) devices, and
lighting
• Energy use of electrical
systems
OUTPUTS
• Estimate potential
savings
for various electrical
system efficiency actions.
• UPS efficiency
comparison /
benchmarking
• Energy efficiency metrics
13
14. DoE Assessment Process
14
Process Step Current Tools/Resources
1. Use DC Pro Profiling tool for preliminary assessment. Complete on-line survey of profiling
tool.
Profiling Tool
2. Hold kickoff conference call to review goals and scope; Identify needed information and
documents
Use report from Profiling tool
as a discussion prompter
3. Compile existing information from drawings, trend logs, etc. Enter available information into
tools/worksheets
Assessment Tools or
Worksheets
4. On-site meeting with all stakeholders: Site tour (if needed) / Overview presentation (if
needed) / Review, confirm and document efficiency actions to be studied, metrics to be
analyzed, and measurement plan (assign roles and responsibilities)
Assessment Tools or
Worksheets
5. Conduct on-site measurements as needed to complete inputs for assessment tools.
Assessment Tools or
Worksheets
6. Estimate savings for actions in each assessment area: Electrical power chain / IT
equipment and software / Air Management / HVAC / On-site generation (Can be done off-site)
Assessment Tools
7. Estimate costs for each action in conjunction with site personnel (can be done off-site)
8. Compile assessment report and present to site Report Template
9. Provide report to DOE (sanitized if necessary, and if site approves) and provide feedback
on overall assessment process
1wk2wk1wk3wk
14
15. DoE Master List of Actions
To download the master list of actions “energy conservation measures”
http://www1.eere.energy.gov/manufacturing/datacenters/pdfs/data_center_actions_list.pdf
15
16. Building Rating Systems
Susta ina ble Building Ra ting System s Development Ba sis
BREEAM (Building Research Establishment’s Environmental
Assessment
Method)
Original
BREEAM Canada BREEAM
BREEAM Green Leaf BREEAM, Green Leaf™
Calabasas LEED LEED®
CASBEE (Comprehensive Assessment System for Building
Environmental
Efficiency)
Original
CEPAS (Comprehensive Environmental Performance Assessment
Scheme)
LEED®, BREEAM, HK-BEAM, IBI
Earth Advantage Commercial Buildings (Oregon) Undisclosed
EkoProfile (Norway) Undisclosed
ESCALE Undisclosed
GBTool Original
EPC for Data Centers (developed by California Energy
Commission and LBNL)*
GEM (Global Environmental Method) For Existing Buildings
(Green Globes) –
LEED®
UK Green Globes Canada
GOBAS (Green Olympic Building Assessment System) CASBEE, LEED®
Green Building Rating System – Korea BREEAM, LEED®, BEPAC
Green Globes Canada BREEAM Green Leaf
Green Globes™ US Green Globes Canada
Green Leaf Eco-Rating Program Original
Green Star Australia BREEAM, LEED®
HK BEAM (Hong Kong Building Environmental Assessment
Method)
BREEAM
HQE (High Environmental Quality) Undisclosed
iDP(Integrated Design Process) Original
Labs21 Original
LEED® (Leadership in Energy and Environmental Design) Original
LEED Canada LEED®
LEED India LEED®
LEED Mexico LEED®
MSBG (The State of Minnesota Sustainable Building Guidelines)
'98, and BREEAM
LEED®, Green Building Challenge
NABERS (National Australian Built Environment Rating System) Undisclosed
PromisE Undisclosed
Protocol ITACA GBTool
SBAT (Sustainable Buildings Assessment Tool) Original
Scottsdale's Green Building Program Undisclosed
SPiRiT (Sustainable Project Rating Tool) LEED®
TERI Green Rating for Integrated Habitat Assessment Original
TQ Building Assessment System (Total Quality Building
Assessment
System)
Original
* The only rating system specifically developed for data center projects
Most common rating systems
are LEED, BREEAM and
Green Globes
16
17. U.S. GBC LEED Introduction
17
• Leadership in Energy and Environmental Design (LEED) - recognized
as the most prominent third-party green building certification system in
the US and derivations are widely used abroad.
• LEED basics:
• concise framework for measurable green building performance, including:
energy savings, water efficiency, construction methods, building
materials, and more.
• can be applied to any building type, from residential homes to office
buildings to hospitals to data centers.
• 4 levels of certification: Certified, Silver, Gold and Platinum.
• The latest release, Version 3, was released on April 27, 2009.
• Future versions are consensus based, transparent, ongoing development
cycle.
• LEED certification leads to:
• Lower operating costs Increased asset value Reduce landfill waste
• Conserve energy and water Healthier and safer environments for occupants
• Reduce harmful greenhouse gas emissions
• Qualify for tax rebates, zoning allowances and other incentives in hundreds of cities.
• Demonstrates a commitment by the owner toward a more efficient, environmentally-
friendly future.
18. LEED Adaptations for Data Centers
New Construction Energy and Atmosphere
•EA prerequisite 1: Fundamental Commissioning of Building Energy Systems (NC)
•EA prerequisite 2: Minimum Energy Performance (NC)
•EA credit 1: Optimize Energy Performance (NC)
•EA credit 3: Enhanced Commissioning (NC)
•EA credit 5: Measurement and Verification (NC)
Existing Buildings Energy and Atmosphere
•EA prerequisite 1: Energy Efficiency Best Management Practices – Planning, Documentation and Opportunity Assessment (EB)
•EA credit 2.1: Existing Building Commissioning – Investigation and Analysis (EB)
•EA credit 3.1: Performance Measurement – Building Automation System (EB)
New Construction Water Efficiency (NEW CREDIT)
•EA credit #: Cooling Tower Water Management (NC)
18
Final Modified / Added Credits
Certified: 40 – 49 pts
Silver: 50 – 59 pts
Gold: 60 – 79 pts
Platinum: 80+ pts
Total Possible Points=110
19. LEED Changes – 2013
23 credits have
substantive
changes upcoming
19
Version 4
20. LEED Changes – 2013
Energy performance:
Determine PUE
5% improvement in design; 2% of
the 5% is to be from infrastructure
ASHRAE 90.1-2010
20
Version 4
21. PUE Usage and public reporting guidelines
Guidance on topics:
•Data Collection and Metrics Calculations
•Reporting Result Timescale and Data Collection Details
•Reporting Results to The Green Grid
•Common Issues with Reporting or Interpreting PUE
• Infrastructure vs. IT
• Power vs. Energy
• “Better-than-Perfect” PUE Measurements
• Comparing Results Calculated over Different Timeframes at Different Granularity Levels
• Comparing PUE Results Between Data Centers
21
22. 22
Plus CUE, WUE, ERE, ERF….and Data Center Maturity Model “DCMM”
PUE (Power Usage Effectiveness)
Emergency
generator
Utility
transformer
PUE Total data center energy from all fuels (kWh)
Total IT energy (kWh)
Total data
center energy
House
energy
=
Data
center
Main
service
PP-Gen
service
Lighting
panel
Generator
block
Heaters &
lighting
Lighting,
Exit
lights,
BMS,
EPMS &
security
House
panels
UPS
STS
PDUs
RPPs
Mech. Swgear
Data center
CRAC units,
AHUs,
Chillers & Dry
coolers
Fuel
Misc. support Mech. supportPower
ToIT
IT-critical
load
District
chilled water
District steam
Natural gas
CO2
NOx
Total Direct Water
Consumption
Fuel
ER
F
ER
E
Total data
center
energy
Total data
center
energy
CUE
WUE
23. 23
ENERGY STAR Rating Vs. PUE
≤ 1.5
Monitoring/Measurement
Requirements
• 1–49: Low cost operational changes + improving IT
efficiency + lowering the heat load +reductions to the
cooling load
• 50–74: Simple, low-cost changes + equipment upgrades
• 75–100: ENERGY STAR certification
24. • 100,000 square foot, tier 4
data center
• 10 MW IT load
• LEED Silver
• Detailed energy modeling
• Base case and proposed
energy end uses (demand and
annual)
LEED Example: Global Bank – New Data Center
25. 25
LEED Example: Global Bank continued
Page 6
Performance Rat ing Table
Baseline Building Energy Summary by End Use
Energy Peak Energy Peak Energy
KWHx000,000 kW x000 10
6
Btu 10
6
Btuh 10
6
Btu 10
6
Btuh %
Interior Lighting Electricity 0.78 1.38 2662.14 4.71 2% 4163.86 8.16 2% 36.07%
Interior Lighting (Process) Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Exterior Lighting Electricity 0.08 0.04 273.04 0.14 0% 477.82 0.00 0% 42.86%
Space Heating (fuel 1) Natural Gas 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Space Heating (fuel 2) Electricity 2.13 1.55 7269.69 5.29 2% 6757.74 5.87 2% -7.58%
Space Cooling Electricity 10.26 13.73 35017.38 46.85 20% 102253.48 203.01 60% 65.75%
Pumps Electricity 8.36 37.67 28532.68 128.53 55% 443.69 0.00 0% -6330.77%
Heat Rejection Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Fans - Interior Electricity 7.82 10.96 26689.66 37.40 16% 79147.47 108.50 32% 66.28%
Fans - Parking Garage Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Service Water Heating (fuel 1) Natural Gas 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Service Water Heating (fuel 2) Electricity 2.37 3.25 8088.81 11.09 5% 8088.81 11.06 3% 0.00%
Receptacle Equipment Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Refrigeration (food, etc.) Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Cooking (commercial, fuel 1) Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Cooking (commercial, fuel 2) Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
Elevators and Escalators Electricity 0 0 0.00 0.00 0% 0.00 0.00 0% 0.00%
31.8 68.58 108533.4 233.99496 100% 201332.87 336.59006 100% 46.09%
Note: Energy Consumption is listed in units ofsite energy
10
6
Btu = kWh x 3.413 x 1000 10
3
Btu = therms / 100
Performance Rat ing Met hod Compliance Report
Total Building Consumption
Baseline BuildingProposed Building
Energy Type
Process
End Use
• 46% reduction in annual energy use for infrastructure systems (as compared
to ashrae energy standard 90.1)
• 41% annual water savings (as compared to the Energy Policy Act of 1992 )
• Improved ventilation rates by 32% (compared to ASHRAE Std. 62.1)
26. ASHRAE Standard 90.1: Compliance options
Energy code compliance
options
• Prescriptive option
• Trade-off option
• Energy cost budget
Most compliant options are Trade-off option
Select approved addenda
• Demand control ventilation requirements
• Fan power limitations
• Alternative compliance path for water-cooled chillers
with VFD/efficient part load performance
28 addenda identified as energy-related
Mandatory Provisions
• Minimum HVAC equipment efficiency
• Load calculations
• Controls
• Construction & insulation
Overall impact: higher efficiencies, thermal
performance, and documentation
30% Energy progress
• 6 prototypes in 17 climate zones, based on 2004
• More prototypes to be examined
• Envelope R-values increase
Results are preliminary
26 HP Confidential
27. ASHRAE Standard 90.1: Appendix G Impacts
Clarifying existing items
• Ventilation cfm of proposed = baseline
• Exception – EQc2 increased ventilation doesn’t
change baseline
• Purchased CHW now covered
Summary: Eliminating confusion for calcs
Data Center economizer exceptions
• 3 MMBtuh with or without central plant
• 0.6 MMBtuh or less being added to existing building
• 0.6 MMBtuh or less with central plant
• Local authority prohibits cooling towers
Summary: Only small data centers meet
exemption criteria
Water-side items
• VFD required on pump motors >10 HP
• Maximum flows per pipe sizes
• Heat exchanger test procedure
• Pump head calcs required
Summary: More stringent requirements to
increase efficiency
Air-side items
• Exhaust air energy recover exception: flammable
• Two new baseline systems 10 & 11
• Supply resets
• Demand control ventilation
Summary: Greater efficiency on most air
systems
27
28. 28 HP Confidential
TC 9.09 recommendations at computer equipment air intakes
ASHRAE: Indoor Temperature and Moisture Levels
MAXIMUM
80°F dry-bulb
67°F wet-bulb
60°F dew point
MAXIMUM
80°F dry-bulb
67°F wet-bulb
60°F dew point
MINIMUM
65°F dry-bulb
53°F wet-bulb
43°F dew point
MINIMUM
65°F dry-bulb
53°F wet-bulb
43°F dew point
Alternate Description Dry Bulb (°F)
Relative
Humidity (%)
W et Bulb (°F) Dew Point (°F)
Chilled W ater
Supply Temp
Condenser
W ater
Supply Temp
(for W SE)
Maximum
Outdoor W et
Bulb Temp (for
W SE)
70F SA Conditions - Low Humidity 70.0 37.6 54.9 43.0
70F SA Conditions - High Humidity 70.0 58.9 60.6 55.0
72F SA Conditions - Low Humidity 72.0 35.1 55.7 43.0
72F SA Conditions - High Humidity 72.0 61.4 63.0 58.0
75F SA Conditions - Low Humidity 75.0 31.8 56.9 43.0
75F SA Conditions - High Humidity 75.0 59.6 65.1 60.0
80F SA Conditions - Low Humidity 80.0 26.9 58.8 43.0
80F SA Conditions - High Humidity 80.0 50.5 66.7 60.0
#1
#2
#3
#4
58.0
60.0
63.0
68.0
56.0
58.0
61.0
66.0
42.0
44.0
47.0
52.0
29. 50001 – Energy Management System
• Designed to be used independently, yet can be aligned or integrated
with other management systems (e.g., ISO 9001) and environmental
(ISO 14001). Applicable to all organizations.
• Requires an organization to establish, implement, maintain, and
improve an energy management system, enabling systematic
achievement of continual improvement in energy performance, energy
efficiency, and energy conservation.
• Imposes requirements on energy supply and consumption:
− Measurement
− Documentation and reporting
− Design and procurement practices for
energy-using equipment and systems
− Processes and personnel
• Applies to all factors that can be monitored and influenced by the
organization to affect energy use.
• Does not prescribe specific performance criteria with respect to energy.
International Organization for Standardization ISO
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30. Hallmarks of a “Green” data center
• Standards/Metrics for whole building performance
• Demand for high temperature server operation will continue, changing the way
data centers are designed
• Advances in using outdoor air for cooling will dramatically reduce energy use
• Based on industry design criteria and best practices, Climate and geography
leveraged to minimize GHG emissions
• Facility responds to site constraints and advantages
• Designed using rigorous whole-building energy modeling
• Optimization of energy and water use
• Life cycle approach used in decision making
• Thorough and transparent reporting of energy use – Energy &
Sustainability Management (ESM)
30
Editor's Notes
Since 2005, the data center market has matured significantly with respect to an overall understanding of the drivers of energy efficiency. Several private organizations in the United States and Canada (ASHRAE, Green Grid, Green Globes) and worldwide (CIBSE, Japan CASBEE, Australia Green Star) have developed robust standards and criteria aimed at making buildings and data centers more energy and water efficient. These standards and criteria work well in developing a decision-making framework in both new data center design and retrofit projects. The release of the standards and metrics is timely as we begin to see a proliferation of local, state, and federal energy-efficiency guidelines and programs. June 20, 2013 HP Confidential
So many standards that apply to data centers that IT must keep up with. Good news is that they are gaining traction. Going from left to right, top row: EPA Energy Star Rating and certification has METRICS in Server performance rating & Energy star label Data enter performance benchmarking Leed Certification for data centers looks at Sustainable Sites Water Efficiency Energy and Atmosphere Materials and Resources Indoor Environmental Quality Innovation in Design Federal Energy Management program showcases Best practices at Federal data centers Pilot adoption of Best-in-class guidelines at Federal data centers Adoption of to-be-developed industry standard for Best-in-class at newly constructed Federal data centers Industry Consortium Tools Metrics Training Best practice information Best-in-class guidelines IT work productivity standard As an example, Executive Order 13514, Federal Leadership in Environmental, Energy, and Economic Performance, signed by President Obama Oct. 5, 2009, outlines a mandate for reducing energy consumption, water use, and greenhouse gas emissions in U.S. federal facilities. While it also presents requirements for reductions for items other than buildings (vehicles, electricity generation, etc.), the majority of the order is geared toward the built environment. Related to data centers specifically, and the impact that technology use has on the environment, there is a dedicated section on electronics and data processing facilities. An excerpt from this section states, “ [Agencies should] promote electronics stewardship, in particular by implementing best management practices for energy-efficient management of servers and federal data centers.” June 20, 2013 HP Confidential
Since 2005, the data center market has matured significantly with respect to an overall understanding of the drivers of energy efficiency. Several private organizations in the United States and Canada (ASHRAE, Green Grid, Green Globes) and worldwide (CIBSE, Japan CASBEE, Australia Green Star) have developed robust standards and criteria aimed at making buildings and data centers more energy and water efficient. These standards and criteria work well in developing a decision-making framework in both new data center design and retrofit projects. The release of the standards and metrics is timely as we begin to see a proliferation of local, state, and federal energy-efficiency guidelines and programs. So many standards that apply to data centers that IT must keep up with. Good news is that they are gaining traction. Going from left to right, top row: Over 3,000 organizations in some 60 countries around the world now measure and disclose their greenhouse gas emissions, water management and climate change strategies through CDP, in order that they can set reduction targets and make performance improvements. This data is made available for use by a wide audience including institutional investors, corporations, policymakers and their advisors, public sector organizations, government bodies, academics and the public. June 20, 2013 HP Confidential
Although the Executive Order is written specifically for U.S. federal agencies, the broader data center industry also is entering the next era of energy and resource efficiency: strongly encouraged or compulsory reductions in resource use and greenhouse gas emissions. The new U.S. Environmental Protection Agency Energy Star Data Center Energy Efficiency Initiative is an example of a program that will quickly gain momentum in the private sector by showing business value similar to the other Energy Star programs. This program is designed to raise the energy-efficiency bar as the portfolio of data centers is updated; only facilities in the top 25% can achieve an Energy Star rating. So as more facilities earn higher energy ratings, the top 25% will be reserved for only the best of the best. Background: Originally started as an international standard for energy efficient consumer products originated in the United States of America. It was first created as a United States government program during the early 1990s, but Australia, Canada, Japan, New Zealand, Taiwan and the European Union have also adopted the program. In 2006 the Energy Star standard was expanded to include an Energy Star performance Rating for buildings such as new homes, commercial and industrial buildings. In June, 2010 the Energy Star Performance for industrial buildings was expanded to include data centers as well. Covers stand-alone data centers, as well as data centers housed within office or other buildings Objectives and criteria Based on actual as-billed energy data. Serves as a whole building indicator Assesses performance at the building level to explain how a building performs, not why it performs a certain way. Captures the interactions of building systems not individual equipment efficiency. Tracks energy use accounting for weather and operational changes over time. Peer group comparison Compares a building’s energy performance to its national peer group Allows owners with multiple facilities to compare performance across a portfolio of buildings. Mix of fuels: Site Energy : Energy consumption expressed on utility bills. Includes combination of primary and secondary energy, which are not directly comparable. Some heat and electricity comes from fuels burned on-site (e.g. natural gas), while some comes from fuels burned off-site (e.g. district chilled water) Source Energy: Traces on-site consumption back to energy content of primary fuels. Accounts for the losses in conversion from primary to secondary energy (which can occur either on-site or at a utility) June 20, 2013 HP Confidential
The DC Pro software tool suite, which includes: A web-based profiling tool Separate Excel-based assessment tools for Air Management, HVAC, electrical syatems, and IT-equipment These tools are not a substitute for a detailed “investment grade” audit. They provide estimates of savings for various measures, but actual savings may vary based on site-specific conditions that are not addressed in the tools. June 20, 2013 HP Confidential
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Another highly anticipated program that will help the data center design and construction industry achieve energy and water efficiency is coming from the U.S. Green Building Council. LEED Data Centers is available for second public comment through July 2011. It is based on the current LEED standards, Green Building Design and Construction and Green Building Operations and Maintenance, but has credit modifications that customize it solely for use in data center facilities. The credits in the new standard have a strong focus on energy efficiency, reducing cooling tower water use, measurement and verification of power and cooling systems, and commissioning. Once this program is released for public use, achieving LEED certification will only be possible after following a rigorous and thorough process. June 20, 2013 HP Confidential
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ASHRAE Technical Committee TC 9.9 is working on an update to standard 90.1 - minimum efficiency standards for buildings. The update states that new data centres will require water-side economisers “free cooling” (unless cooling towers are prohibited by local code). The standard may be expanded to include requirements for air-side economisers “free cooling” after 2014. By that time humidity and contamination research should provide more insight into their impact and to understand the Electro Static Discharge (ESD) issue at the minimum humidity limit. Similarly, contamination impact on IT equipment due to free cooling will also be further understood and will likely drive the extent to which free cooling using outside air can be used. http://tc99.ashraetcs.org/documents/Standard%2090_1_2010%20Applicability%20to%20Datacom.pdf See summary on page 4
Design for the highest internal air temperature allowable that will not cause the computers’ internal fans to run at excessive speeds or create electrical leakage in the computers. The ASHRAE supplement to the Thermal Guidelines for Data Processing Environments (ASHRAE 2004), called 2008 ASHRAE Environmental Guidelines for Datacom Equipment - Expanding the Recommended Environmental Envelope recommends an upper dry-bulb limit of 80 F for the air used to cool the computers. If this temperature is used (and even higher temperatures in the near future), the hours for economization will be increased; when vapor compression (mechanical) cooling is used, the elevated temperatures will result in lower compressor power. However, the onboard fans in the servers will typically begin to increase speed and draw in more air to maintain the temperature of the server’s internal components at an acceptable level. Also, depending on the internal heat sink specification, electrical leakage will begin to occur at elevated temperatures, eroding away some of the energy savings. Unless the internal thermal management algorithms are modified, there will be diminishing energy returns as more power is required for the fans in the servers when the data center supply air temperature exceeds 80 F. The exception to this is if an economizer is used on the cooling system, providing cooling air beyond 80 F without any compressor power June 20, 2013 HP Confidential
ISO 50001 is a newly developed international standard for an energy management system (EnMS). ISO 50001:2011 (the first and current version) provides a framework for establishing energy management best practice to help organisations to improve their energy efficiency in a logical, controlled and systematic way. ISO 50001 has been structured to align with other popular industry management system standards such as those for quality, health & safety and environmental management. Organisations can thus, if appropriate, integrate an energy management system (EnMS) with their existing management system(s). June 20, 2013 HP Confidential
Standards/Metrics will include whole building performance, including water use and source energy reporting “ Carbon Dioxide Equivalent” reduction strategies will reinforce dematerialization of data center facilities Demand for high temperature server operation will continue, changing the way data centers are designed Advances in using outdoor air for cooling will dramatically reduce energy use Based on industry design criteria and best practices, Climate and geography leveraged to minimize GHG emissions Facility responds to site constraints and advantages Designed using rigorous whole-building energy modeling Optimization of energy and water use Life cycle approach used in decision making Thorough and transparent reporting of energy use June 20, 2013 HP Confidential