Insight on data trend analysis from CEE's Existing Building Commissioning Services.
For more information, read The Art of Building Recommissioning at our blog: http://www.mncee.org/Innovation-Exchange/ie/March-2012/The-Art-of-Building-Recommissioning/?utm_source=slideshare&utm_medium=slideshare&utm_campaign=slideshare
COURSE LINK:
https://www.chemicalengineeringguy.com/courses/gas-absorption-stripping/
Introduction:
Gas Absorption is one of the very first Mass Transfer Unit Operations studied in early process engineering. It is very important in several Separation Processes, as it is used extensively in the Chemical industry.
Understanding the concept behind Gas-Gas and Gas-Liquid mass transfer interaction will allow you to understand and model Absorbers, Strippers, Scrubbers, Washers, Bubblers, etc…
We will cover:
- REVIEW: Of Mass Transfer Basics required
- GAS-LIQUID interaction in the molecular level, the two-film theory
- ABSORPTION Theory
- Application of Absorption in the Industry
- Counter-current & Co-current Operation
- Several equipment to carry Gas-Liquid Operations
- Bubble, Spray, Packed and Tray Column equipments
- Solvent Selection
- Design & Operation of Packed Towers
- Pressure drop due to packings
- Solvent Selection
- Design & Operation of Tray Columns
- Single Component Absorption
- Single Component Stripping/Desorption
- Diluted and Concentrated Absorption
- Basics: Multicomponent Absorption
- Software Simulation for Absorption/Stripping Operations (ASPEN PLUS/HYSYS)
----
Please show the love! LIKE, SHARE and SUBSCRIBE!
More likes, sharings, suscribers: MORE VIDEOS!
-----
CONTACT ME
Chemical.Engineering.Guy@Gmail.com
www.ChemicalEngineeringGuy.com
http://facebook.com/Chemical.Engineering.Guy
You speak spanish? Visit my spanish channel -www.youtube.com/ChemEngIQA
Extruders: defects and troubleshooting.pptxAbhijithKS36
The slide contains details of most common defects and troubleshooting(reason, causes, remedy) of polymer extruders used in industries for various types of polymer product manufacturing.
Wheat Flour Mill Cyclone Separator
Cyclone is the most commonly used device, to separate dust particles from gas
and dust flow. This review paper provides a wide perspective of various designed
cyclone separator for collection of tiny dust particle
COURSE LINK:
https://www.chemicalengineeringguy.com/courses/gas-absorption-stripping/
Introduction:
Gas Absorption is one of the very first Mass Transfer Unit Operations studied in early process engineering. It is very important in several Separation Processes, as it is used extensively in the Chemical industry.
Understanding the concept behind Gas-Gas and Gas-Liquid mass transfer interaction will allow you to understand and model Absorbers, Strippers, Scrubbers, Washers, Bubblers, etc…
We will cover:
- REVIEW: Of Mass Transfer Basics required
- GAS-LIQUID interaction in the molecular level, the two-film theory
- ABSORPTION Theory
- Application of Absorption in the Industry
- Counter-current & Co-current Operation
- Several equipment to carry Gas-Liquid Operations
- Bubble, Spray, Packed and Tray Column equipments
- Solvent Selection
- Design & Operation of Packed Towers
- Pressure drop due to packings
- Solvent Selection
- Design & Operation of Tray Columns
- Single Component Absorption
- Single Component Stripping/Desorption
- Diluted and Concentrated Absorption
- Basics: Multicomponent Absorption
- Software Simulation for Absorption/Stripping Operations (ASPEN PLUS/HYSYS)
----
Please show the love! LIKE, SHARE and SUBSCRIBE!
More likes, sharings, suscribers: MORE VIDEOS!
-----
CONTACT ME
Chemical.Engineering.Guy@Gmail.com
www.ChemicalEngineeringGuy.com
http://facebook.com/Chemical.Engineering.Guy
You speak spanish? Visit my spanish channel -www.youtube.com/ChemEngIQA
Extruders: defects and troubleshooting.pptxAbhijithKS36
The slide contains details of most common defects and troubleshooting(reason, causes, remedy) of polymer extruders used in industries for various types of polymer product manufacturing.
Wheat Flour Mill Cyclone Separator
Cyclone is the most commonly used device, to separate dust particles from gas
and dust flow. This review paper provides a wide perspective of various designed
cyclone separator for collection of tiny dust particle
A seminar presentation for major or minor project for BTech/MTech students on design of pressure vessels using composite materials. for complete presentation log on to www.mechieprojects.com
Slides for the eLearning course Separation and purification processes in biorefineries (https://open-learn.xamk.fi) in IMPRESS project (https://www.spire2030.eu/impress).
Section: Distillation
Subject: 2.3 Enthalpy balances
Vertical Roller Mill Gearbox Reduction Ratio CalculationsSyed Fahad Ahmed
This document presents the calculations for finding out the Gear Ratio of a 3 stage (Bevel-Helical-Planetary) gearbox for Vertical Roller Mill (VRM-3700) of a Cement plant. The capacity of this VRM is 260tons/hour and is used limestone grinding.
Episode 38 : Bin and Hopper Design
< 1960s storage bins were designed by guessing
Then in 1960s A.W. Jenike changed all.- He developed theory, methods to apply, inc. the eqns. And measurement of necessary particles properties.
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
Episode 39 : Hopper Design
Problem:
1 -experiments with shear box jenike on a particulate catalyst to give the family
yield locus as in 1. given that the bulk density is 1000 kg/m3 particulates and wall friction angle is 15
a-from design chart silo cone, do design a mass flow hopper for the material.
b-if the average size is 100 um, calculate the discharge flow rate passing through the discharge opening
2 - For the above materials using stainless steel is required to store 1000 tons of particulate in it. Coefficient of friction at the wall is given as 0.45 for each value and the formula that you use the appropriate justify the design.
a - draw the dimensions of the silo you and draw a vertical stress profile and the wall of the silo whole time say powerful particle
b- specify the maximum vertical stress and the wall of the silo you
c - if you use several different approaches in the design you provide appropriate recommendations to your employer for work before the end of the casting device fabrication started.
d - if problems such as the formation of the entrance are available after a certain time interval suggest measures - flow improvement measures to be taken to your employer
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
In this presentation i have made the design and development of De-Dusting system for the reduction of dust and chemical emission from the atmosphere of the steel industry (Electrotherm India Ltd.) [Final Semester project Mechanical Engineering 8th sem]
The first lecture in the module Particle Technology, delivered to second year students who have already studied basic fluid mechanics. Some applications of Particle Technology are described, in industry and nature, and particle size analysis and means of representing the data. The format for the laboratory classes for the module and their reports are covered.
Governing of the Turbine | Fluid MechanicsSatish Taji
Watch Video of this presentation on Link: https://youtu.be/LmJtNo-zgjo
For notes/articles, Visit my blog (link is given below).
For Video, Visit our YouTube Channel (link is given below).
Any Suggestions/doubts/reactions, please leave in the comment box.
Follow Us on
YouTube: https://www.youtube.com/channel/UCVPftVoKZoIxVH_gh09bMkw/
Blog: https://e-gyaankosh.blogspot.com/
Facebook: https://www.facebook.com/egyaankosh/
Desulphur - A new Desulphurisation TechniqueTecnoVeritas
This Presentations intends to present a new technique of Desulphurisation, a revolutionary product to help the environment and the marine/ shore industry.
Engineers Angela Vreeland and Gustav Brändström demonstrate common traps and tricks in dealing with trend data, along with detailed calculations that can be applied to a variety of energy saving measures.
A seminar presentation for major or minor project for BTech/MTech students on design of pressure vessels using composite materials. for complete presentation log on to www.mechieprojects.com
Slides for the eLearning course Separation and purification processes in biorefineries (https://open-learn.xamk.fi) in IMPRESS project (https://www.spire2030.eu/impress).
Section: Distillation
Subject: 2.3 Enthalpy balances
Vertical Roller Mill Gearbox Reduction Ratio CalculationsSyed Fahad Ahmed
This document presents the calculations for finding out the Gear Ratio of a 3 stage (Bevel-Helical-Planetary) gearbox for Vertical Roller Mill (VRM-3700) of a Cement plant. The capacity of this VRM is 260tons/hour and is used limestone grinding.
Episode 38 : Bin and Hopper Design
< 1960s storage bins were designed by guessing
Then in 1960s A.W. Jenike changed all.- He developed theory, methods to apply, inc. the eqns. And measurement of necessary particles properties.
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
Episode 39 : Hopper Design
Problem:
1 -experiments with shear box jenike on a particulate catalyst to give the family
yield locus as in 1. given that the bulk density is 1000 kg/m3 particulates and wall friction angle is 15
a-from design chart silo cone, do design a mass flow hopper for the material.
b-if the average size is 100 um, calculate the discharge flow rate passing through the discharge opening
2 - For the above materials using stainless steel is required to store 1000 tons of particulate in it. Coefficient of friction at the wall is given as 0.45 for each value and the formula that you use the appropriate justify the design.
a - draw the dimensions of the silo you and draw a vertical stress profile and the wall of the silo whole time say powerful particle
b- specify the maximum vertical stress and the wall of the silo you
c - if you use several different approaches in the design you provide appropriate recommendations to your employer for work before the end of the casting device fabrication started.
d - if problems such as the formation of the entrance are available after a certain time interval suggest measures - flow improvement measures to be taken to your employer
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
In this presentation i have made the design and development of De-Dusting system for the reduction of dust and chemical emission from the atmosphere of the steel industry (Electrotherm India Ltd.) [Final Semester project Mechanical Engineering 8th sem]
The first lecture in the module Particle Technology, delivered to second year students who have already studied basic fluid mechanics. Some applications of Particle Technology are described, in industry and nature, and particle size analysis and means of representing the data. The format for the laboratory classes for the module and their reports are covered.
Governing of the Turbine | Fluid MechanicsSatish Taji
Watch Video of this presentation on Link: https://youtu.be/LmJtNo-zgjo
For notes/articles, Visit my blog (link is given below).
For Video, Visit our YouTube Channel (link is given below).
Any Suggestions/doubts/reactions, please leave in the comment box.
Follow Us on
YouTube: https://www.youtube.com/channel/UCVPftVoKZoIxVH_gh09bMkw/
Blog: https://e-gyaankosh.blogspot.com/
Facebook: https://www.facebook.com/egyaankosh/
Desulphur - A new Desulphurisation TechniqueTecnoVeritas
This Presentations intends to present a new technique of Desulphurisation, a revolutionary product to help the environment and the marine/ shore industry.
Engineers Angela Vreeland and Gustav Brändström demonstrate common traps and tricks in dealing with trend data, along with detailed calculations that can be applied to a variety of energy saving measures.
Using the structured product labeling format to index versatile chemical dataValery Tkachenko
Structured Product Labeling (SPL) is a document markup standard approved by the Health Level Seven (HL7) standards organization and adopted by the FDA as a mechanism for exchanging product and facility information. Product information provided by companies in SPL format may be accessed from the FDA Online Label Repository (labels.fda.gov) and the National Library of Medicine DailyMed web site (dailymed.nlm.nih.gov). FDA also maintains and publishes SPL Indexing Files for Pharmacologic Class, Substance, Product Concept, Biological Drug Substance, and Billing Units. Data from the Indexing Files can be linked to data in both SPL resources and external resources via chemical and non-chemical identifiers. In this talk we will present on the latest addition to SPL which allows indexing data on proteins, polymers and structurally diverse substances. We will also discuss the potential value of SPL to the integration between public chemistry databases, especially those hosted by the United States Government.
Systems and methods for visual presentation and selection of IVR menuTal Lavian Ph.D.
Embodiments of the invention provide a system for enhancing user interaction with Interactive Voice Response (IVR) destinations, the system comprising: a processor; and a memory coupled to the processor, the memory comprising: data encoding a database, the database comprising a list of telephone numbers associated with one or more destinations implementing an IVR; instructions executable by the processor for automatically communicating with at least one user; and instructions executable by the processor to pull at least one menu from the database and display the menu to the at least one user, wherein the menu is associated with a telephone number dialed by the at least one user, and wherein the menu comprises at least one icon.
https://www.google.com/patents/US8223931?dq=US+8223931&hl=en&sa=X&ei=cW5SVM3vI4n18QXp8oLgBA&ved=0CB0Q6AEwAA
7Epsilon - World Foundry Congress 2014 presentationMeghana Ransing
Optimise your foundry process for defect/waste reduction using 7Epsilon Continual Improvement. Use in-process data to make small adjustments to your process in order to achieve continual process improvement.
7Epsilon projects satisfy the requirements of Clause 8 of ISO 9001:2008 quality standard. 7Steps of 7Epsilon refine Six Sigma's Measure, Analyse, Improve and Control steps.
Leveraging existing home inspections at time-of-sale to promote energy upgrades. Presentation given at ACEEE 2018 Summer Study on Energy Efficiency in Buildings.
As the mantra to "electrify everything" intensifies, we'll need to develop a clear understanding of what that goal means and what it will take to get us there. Electrification may be our only practical pathway to decarbonization, but that doesn't reduce the need for a keen awareness of what we're undertaking.
This forum brought in speakers from both Minnesota and around the country to talk about a range of electrification topics including emerging tech, an evolving grid, ongoing natural gas reliance and electric innovations.
This webinar gives a technical overview of the field assessment, measured energy savings, occupant feedback, and evaluation of cost-effectiveness of transport membrane humidifier (TMH) technology.
Energy Fit Homes is a certificate program administered by the Center for Energy and Environment, designed specifically for existing homes in Minnesota and is focused exclusively on energy efficient upgrades that are cost-effective to the homeowner.
The presentation includes background information on building science and the benefits of Energy Fit Homes for both homeowners and Realtors®. Real estate professionals who attended the presentation received the tools needed to start integrating the program into their Realtor® client services.
There’s growing awareness that perhaps the only practical pathway to achieving Minnesota’s deep decarbonization goal is through a combination of steps.
Research lead discusses how new generation air source heat pumps perform in Minnesota’s colder climate, how to best integrate air source heat pumps into utility efficiency programs, and how this new technology has the potential to create new business opportunities in the building and design world.
Research identifying common issues affecting the effectiveness of Energy Recovery Ventilation in Minnesota buildings and developing a protocol to optimize their performance.
Webinar sharing report findings including aerosol sealing cost-effectiveness in multifamily buildings and recommendations on how utilities and contractors can take advantage of this new sealing application.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
20240605 QFM017 Machine Intelligence Reading List May 2024
Energy Saving Calculations for Recommissioning and Design
1. ASHRAE December Chapter Meeting
Energy Saving Calculations for
Recommissioning and Design
Gustav Brändström
Angela Vreeland
December 13, 2011
2. Agenda
Agenda
Introduction
Trending and Trend Data
TMY and Bin Data
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 2
3. Introduction
Recommissioning and Design
Our background is RCx
Differences
Existing vs New Buildings
Equipment-specific Calculations vs Whole Building Energy
Modeling
Known Equipment Operation vs Design Criteria
Common Goals
Comfortable and Safe Occupants
Low Energy Use
Easy to Maintain
= High Performance Building
Page 3
Source: www.wbdg.org
4. Introduction
Top Energy Saving Measures in RCx
Key Measure Mix % of Total Savings
Revise control sequence 21%
Reduce equipment runtime 15%
Optimize airside economizer 12%
Add/optimize SAT reset 8%
Add VFD to pump 6%
Reduce coil leakage 4%
Reduce/reset DSP setpoint 4%
Add/optimize optimum start/stop 3%
Add/optimize CWST reset 2%
Source: A Study on Energy Savings and Measure Cost
Page 4 Effectiveness of EBCx, PECI, 2009
5. Introduction
Importance of Spreadsheet Calculations in
Recommissioning (RCx) and Design
Customizable for any application
Can be based on actual building operation
Applicable to multiple scenarios with little modification
Most 3rd party tools apply to specific scenarios
“Square peg in round hole” syndrome
All inputs must be re-entered for each case
Energy modeling is not economical for
analysis of individual equipment
Time-consuming
Not intent of modeling software
Page 5
6. Introduction
Trending and Trend Data
Trending- brief overview
The process of capturing time series data on equipment
operation
Building Automation Systems (BAS) or data loggers
Data is exported from the BAS or loggers for spreadsheet
analysis
Data set-up, collection, processing, and analysis are time
consuming
Page 6
7. Introduction
Trending and Trend Data
Trend Data
Time series data exported from BAS or data loggers
15 minute interval
6 continuous months minimum
Weather-dependency
Modes of operation
Typical AHU has 15 channels
Typical buildings have 300-500
channels
5-8 million data points
Page 7
10. Introduction
Trending and Trend Data
Why So Much Trending?
Trend data allows you to identify operational issues you
wouldn’t find otherwise.
Unoccupied operation
Leaky valves, stuck dampers, etc
Suboptimal controls sequences
Trend data allows you to more accurately calculate savings
Once it is setup it keeps running
You can never tell the weather what to do
Page 10
11. Introduction
TMY and Bin Data
Typical Meteorological Year Weather Data
Covers at least 15 year timeframe
Average and typical, not average
“Major” Cities only
Duluth
International Falls
Minneapolis
Rochester
St Cloud
Fargo, ND
Sioux Falls, SD
8,760 hours of data
Date/Time, Dry Bulb, Wet Bulb, Pressure, etc.
Get from NREL
http://www.nrel.gov/rredc/solar_data.html
Page 11
12. Introduction
TMY and Bin Data
Bin Data
Data calculated in 5 F (or smaller) bins.
Split on setpoints
Size depending on sensitivity
Best for equipment operation that is dependent on outside
temperature
Can also be done for Enthalpy, Wetbulb, etc.
Page 12
13. Introduction
TMY and Bin Data
Bin Data
Calculate using AVERAGEIFS() and COUNTIFS()
AVERRAGEIFS() - Average value of a range, given criteria
COUNTIFS() - Number of occurrences in a range, given criteria
OAT Bins Avg OAT (F) Hours Hours ON
60 65 63.7 3 1.5
65 70 68.5 2.25 0.75
70 75 72.4 3.25 1.25
75 80 77.8 2 1.25
80 85 82.5 8.25 5.75
85 90 85.8 1.25 1.25
=AVERAGEIFS(Avg Range, CriteriaRange1, Criteria1, CriteriaRange2,Criteria2, …)
=AVERAGEIFS(OAT Column, OAT Column,">="&BinLL, OAT Column,"<"&BinUL)
Page 13
15. Agenda
Agenda
Introduction
Trending and Trend Data
TMY and Bin Data
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions and Comments
Page 15
16. AHU Measures
Optimize Airside Economizer
Economizers malfunction frequently
Stuck outside damper, outside air (OA) flow station error,
temperature/humidity sensor out of calibration, etc
Economizer control errors
Incorrect high and/or low limit setpoint
Result in a loss of “free cooling” opportunity,
significant wasted cooling energy, or simultaneous
heating and cooling
Page 16
17. AHU Measures
Optimize Airside Economizer
Identification
Look at BAS settings
Functional performance testing
Analyze trend data
Required Trend Data
SF Status and/or Speed
Outside Air Temperature (OAT)
Return Air Temperature (RAT)
Mixed Air Temperature (MAT)
OA damper position
Page 17
18. AHU Measures
Optimize Airside Economizer
Data Analysis
How much OA is the AHU bringing in?
Calculate the %OA
Plot %OA against OAT
Page 18
20. AHU Measures
Optimize Airside Economizer
Why should the high limit setpoint be ~70 F?
Eliminates possible errors due to humidity sensors
Iowa Energy Center Research
http://www.energy.iastate.edu/Efficiency/Commercial/download_nbcip
/NBCIP_S.pdf
High limit of 71 F in MN was found to be ideal
Taylor Engineering Research
November 2010 ASHRAE Journal (Vol. 52, No. 11)
The fewer control points the better
Page 20
21. AHU Measures
Optimize Airside Economizer
Savings Calculation
Equation to determine OA flow
Equation to determine energy required to condition OA
Page 21
22. AHU Measures
Optimize Airside Economizer Example
Community College in North Metro
400,000 sqft
36 AHUs- mix of multi-zone, VAV, and constant volume
This example- 14,500 cfm constant volume AHU
809 channels were trended, 25.3M total data points
collected over 10 months
Finding (problem)
Economizer high limit lockout is 80 F
Measure (solution)
Change the lockout to 70 F
Page 22
23. - HIGH LIMIT TOO HIGH
Lower the High Limit Setpoint:
80°F to 70°F
Page 23
24. AHU Measures
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
Reducing the high limit setpoint will lead to savings
whenever 70 F < OAT < 80 F
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 24
25. AHU Measures
Optimize Airside Economizer Example
1
A B C D EColumn A- OAT Bins
F G H I J K L
Current Proposed
OAT Dry OAT 5 F Bins OA OA OA OA
AHU On RAT
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F %Column B- Average OAT for Bin
CFM kBtus% kWh CFM kBtus kWh
60/64 62.6 321 70.8
Obtain from 0TMY Data
67.9% 9,840 0 67.9% 9,840 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0
70/74 72.5 265 71.6 Use AVERAGEIFS340
95.5% 13,847 3,400 10.0% 1,450 356 36
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422
85/89 87.8 152 72.0 Column C- Total Hours the AHU operates
10.0% 1,450 3,758 376 10.0% 1,450 3,758 376
90/94 91.9 54 73.0 10.0% during Bin
1,450 1,594 159 10.0% 1,450 1,594 159
Obtain from trends of SF Status or Speed and
OAT
Use COUNTIFS
Page 25
26. AHU Measures
Optimize Airside Economizer Example
1
A B C D EColumn D- Average RAT during JBin
F G H I K L
Current Proposed
OAT Dry OAT Obtain from trendsOA RAT and OAT
OA
of OA OA
AHU On RAT
Bulb Bin Dry Bulb OA RAT vs OAT to see OA pattern
OA Plot Flow Cooling Cooling overall OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F
% Use AVERAGEIFS- Filter for when AHU is ON
CFM kBtus kWh % CFM kBtus kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159
Page 26
27. AHU Measures
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 27
28. AHU Measures
Optimize Airside Economizer Example
2
A E F G H Column E- Average %OA during Bin
Current
OAT Dry
Obtain from trends of MAT, RAT, and
OA OA
Bulb Bin OA OA Flow Cooling Cooling OAT
Energy Input Plot %OA vs OAT to see overall pattern
F % CFM kBtus kWh
Use AVERAGEIFS- Filter for when AHU
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
is ON
70/74 95.5% 13,847 3,400 340
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 28
29. AHU Measures
Optimize Airside Economizer Example
2
A E F G H Column F- OA Flow
Current
OAT Dry
Calculated using equation below
OA OA
Bulb Bin OA OA Flow Cooling Cooling SF Speed must be accounted for with
Energy Input variable volume AHUs
F % CFM kBtus kWh
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
70/74 95.5% 13,847 3,400 340
Column G- Cooling Energy
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769 Energy required to cool OA
85/89 10.0% 1,450 3,758 376 Calculated using equation below
90/94 10.0% 1,450 1,594 159
Page 29
30. AHU Measures
Optimize Airside Economizer Example
2
A E F G H Column H- Cooling Input
Current
OAT Dry
Calculated using equation below
OA OA
Bulb Bin OA OA Flow Cooling Cooling
Energy Input
F % CFM kBtus kWh
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
70/74 95.5% 13,847 3,400 340
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 30
31. AHU Measures
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 31
32. AHU Measures
Optimize Airside Economizer Example
3
A I J K L Columns I thru L
Proposed
OAT Dry
Repeat the same analysis for
OA OA
Bulb Bin OA OA Flow Cooling Cooling Proposed Scenario
Energy Input Above 70 F, the %OA will drop to
F % CFM kBtus kWh
minimum position
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0 Based on data at low OATs, the
70/74 10.0% 1,450 356 36 minimum %OA is 10%
75/79 10.0% 1,450 2,633 263
80/84 10.0% 1,450 4,218 422
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 32
33. AHU Measures
Optimize Airside Economizer Example
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Savings
2,442 kWh annually or $170 at 7¢/kWh
~10% of energy used to cool OA
No cost to implement
Page 33
34. AHU Measures
Optimize Airside Economizer
Summary of Measure
Keep in mind that….
An AHU may economize at OATs as low as 20 or 30 F
Humidity sensors have a tendency to get out of calibration
The fewer sensors the economizer relies on, the better
Design Implications
This analysis could be used to determine the savings from installing a
unit with an economizer or a DOAS
Page 34
36. Agenda
Agenda
Introduction
Trending and Trend Data
TMY and Bin Data
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 36
37. Pump Measures
Install VFD on Hot Water Pump
Constant volume pumping is common in existing
buildings.
Hot water loops come in many variants; primary,
primary/secondary, primary/tertiary, etc.
Energy savings from reducing the speed at which
the pump run.
Opportunities exist when the delta T is low
and/or when the use in the AHUs are low.
Page 37
38. Pump Measures
Install VFD on Hot Water Pump
Identification
Analyze trend data
Required Trend Data
Pump Status
Boiler Status
Outside Air Temperature (OAT)
Supply Water Temperature (SHWS-T)
Return Water Temperature (SHWR-T)
AHU Heating Valve Positions
Page 38
39. Pump Measures
Install VFD on Hot Water Pump
Data Analysis
How excessive is the pump operation?
When do the AHUs heat?
What is the loop differential temperature (dT)?
Page 39
40. Example of low temperature drop
Design Loop dT = 48°F
Page 40
42. Pump Measures
Install VFD on Hot Water Pump
Savings Calculation
Equation to determine the flow at different OAT Bins
AVERAGEIFS for heating coils in each bin
AHU Coil Capacity from plans
Equation to determine pump power at different flow
requirements
A power of 2 accounts for the motor and VFD efficiency and
other losses.
More closely estimates the actual power, so energy savings are
more accurate
Page 42
43. Pump Measures
Install VFD on Hot Water Pump
Example
Middle School in Northwest Minnesota
8 Large constant volume AHUs serving duct reheat coils with
manual thermostats
180 channels were trended, 3.3M total points collected over
7 months
Finding (problem)
Secondary Hot Water Loop Pump runs excessively
Measure (solution)
Install VFD on 40hp Pump, close off three way valves, and install
differential pressure sensor
Page 43
50. Pump Measures
Install VFD on Hot Water Pump
Part 2 – Find Current and Proposed Energy Use
2 Energy Use
Bin %Flow Current Proposed
OAT Bin Hours (min 30%) (kWh) (kWh)
-20 -10 248 76% 6,994 4,061
-10 0 309 70% 8,714 4,328
0 10 436 65% 12,295 5,226
10 20 696 53% 19,627 5,600
20 30 1074 39% 30,287 4,622
30 40 1224 30% 34,517 3,107
40 50 1114 30% 31,415 2,827
50 60 1135 30% 32,007 2,881
60 70 1157 30% 32,627 2,936
208,483 35,588
Savings 172,895
Page 50
51. Pump Measures
Install VFD on Hot Water Pump
Bin Hours from TMY Data
2 Energy Use
Bin %Flow Current Proposed
OAT Bin Hours (min 30%) (kWh) (kWh)
-20 -10 248 76% 6,994 4,061
-10 0 309 70% 8,714 4,328
0 10 436 65% 12,295 5,226
10 20 696 53% 19,627 5,600
20 30 1074 39% 30,287 4,622
30 40 1224 30% 34,517 3,107
40 50 1114 30% 31,415 2,827
50 60 1135 30% 32,007 2,881
60 70 1157 30% 32,627 2,936
208,483 35,588
Savings 172,895
Page 51
52. Pump Measures
Install VFD on Hot Water Pump
%Flow from Part 1
2 Energy Use
Bin %Flow Current Proposed
OAT Bin Hours (min 30%) (kWh) (kWh)
-20 -10 248 76% 6,994 4,061
-10 0 309 70% 8,714 4,328
0 10 436 65% 12,295 5,226
10 20 696 53% 19,627 5,600
20 30 1074 39% 30,287 4,622
30 40 1224 30% 34,517 3,107
40 50 1114 30% 31,415 2,827
50 60 1135 30% 32,007 2,881
60 70 1157 30% 32,627 2,936
208,483 35,588
Savings 172,895
Page 52
53. Pump Measures
Install VFD on Hot Water Pump
Calculate Current and Proposed Energy Use
2 Energy Use
Bin %Flow Current Proposed
OAT Bin Hours (min 30%) (kWh) (kWh)
-20 -10 248 76% 6,994 4,061
-10 0 309 70% 8,714 4,328
0 10 436 65% 12,295 5,226
10 20 696 53% 19,627 5,600
20 30 1074 39% 30,287 4,622
30 40 1224 30% 34,517 3,107
40 50 1114 30% 31,415 2,827
50 60 1135 30% 32,007 2,881
60 70 1157 30% 32,627 2,936
208,483 35,588
Savings 172,895
Page 53
54. Pump Measures
Install VFD on Hot Water Pump
Calculate Energy Saving
Saves 172,895 kWh annually, or $12,100 at 7¢/kWh
2 or 83% of the current pump energy use.
Energy Use
Bin %Flow Current Proposed
OAT Bin Hours (min 30%) (kWh) (kWh)
-20 -10 248 76% 6,994 4,061
-10 0 309 70% 8,714 4,328
0 10 436 65% 12,295 5,226
10 20 696 53% 19,627 5,600
20 30 1074 39% 30,287 4,622
30 40 1224 30% 34,517 3,107
40 50 1114 30% 31,415 2,827
50 60 1135 30% 32,007 2,881
60 70 1157 30% 32,627 2,936
208,483 35,588
Page 54
Savings 172,895
55. Pump Measures
Install VFD on Hot Water Pump
Summary of Measure
Keep in mind that….
In conjunction with adding a VFD, look at the scheduling.
If the AHUs have different modes of operation, account for them
(Morning Warm-up etc)
Design Considerations
Freeze Protection might be necessary depending on glycol level
Evaluate constant vs. variable flow energy use
Page 55
56. Agenda
Agenda
Introduction
Trending and Trend Data
TMY and Bin Data
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 56
57. Wrap-up
Resources
California Commissioning Collaborative
www.cacx.org
Better Bricks
www.betterbricks.com
Taylor Engineering
www.taylor-engineering.com
Portland Energy Conservation, Inc - PECI
www.peci.org
Page 57
58. Wrap-up
Conclusion
Trending
Invaluable tool
Identify operational issues
Calculate accurate energy savings
Spreadsheet Calculations
Not complicated
Flexible
Accurate
Worth the investment in development
Sustainable Buildings Committee Presentation on the use of
Building Automation Systems for RCx January 17th, from
noon to1:00 at CEE
(optional business meeting from 11:30 to noon)
Page 58
60. 1992 ACEEE Summer Study on Energy Efficiency in Buildings
Variable Speed Drives: Improving Energy Consumption Modeling and Savings Analysis Techniques
Page 60 by: Scott Englander, New England Power Service Company; Leslie Norford, Mass. Institute of Technology and Tabors
61. ASHRAE Journal, November 2010. “Economizer High Limit Controls and Why Enthalpy
Economizers Don’t Work” by Steven T. Taylor, PE and C. Hwakong Cheng.
Also available at www.taylor-engineering.com
Page 61
Why are we talking about this??? Or will Russ cover that?
State that we will have some time allotted for questions during the presentation and also at the end, so please reserve your questions for those times.
Change Owner’s Operating Requirements to Design Criteria???Point of this slide is to really say that we come from a Recommissioning background. That is where our experience lies and this presentation is based on recommissioning measures, but that we hope designers will find some of the equations and methodologies we present tonight as useful tools in the work they do as well. Something along those lines.
State the source (even though its at the bottom, just say it as well to give it more credibility)We chose the measures starred here to discuss today. We chose these measures because we have encountered them very frequently in our work and from our experience, they tend to result in significant energy savings with attractive paybacks.
Maybe state that we’ll first touch briefly on trend data to set the stage for the calculations we’ll be discussing in this presentation, but that a much more in-depth presentation on trending will be given by CEE at the next SBC meeting in January, if you’d like to hear more about trending.Hope these changes I made to this slide are ok….
Remove red text because of stuff I added on previous slide??Insert pic of an AHU BAS screencapture here to show how many points there can be??? Just to add visual appeal. Doesn’t need to be big or really all that readable…
Time series data! BAS The time stamp is in the first column, and all subsequent columns are readings from that same timestamp so that calculations can be conducted across rows.
This is the same trend data as the previous slide, represented in a graph. The trend data can be plotted to better understand how the equipment operates. It can be plotted over time, as shown here, or in our upcoming examples we will show some other plots that can be generated to analyze equipment operation.
State why we recommend 5F or smaller bins.Maybe split into two slides. One for the first few bullet points talking about bin size and equipment operation and then the second slide that discusses averageifs and countifs??? Not sure if we have time for that or not.
State why we recommend 5F or smaller bins.Maybe split into two slides. One for the first few bullet points talking about bin size and equipment operation and then the second slide that discusses averageifs and countifs??? Not sure if we have time for that or not.
State that we will have some time allotted for questions during the presentation and also at the end, so please reserve your questions for those times.
Stress that looking at the BAS settings and doing FPT gives you a “snap shot” of how the equipment operates. Only trend data reveals how the equipment operates over a larger span of time.This list of trend data not only allows you to identify economizer issues, but this data also allows you to accurately calculate savings for resolving the issues.
DAT setpoint usually below 60 during the summer, so bringing in air that is warmer than the return air temperature will cause the unit to cool more than if the damper were at minimum position.Explain how a lot of trend data is needed to be able to generate a plot like this, because the temperature range goes between -15 and 95- this covers all seasons of the year.
Humidity sensors are getting better
Note that variable volume AHUs will need to account for the SF speed in the OA flow calculation.
State that now that we’ve discussed the process for analyzing an economizer and calculating savings, we’ll now step through a real life example where it was found that the economizer was not controlled properly.
State that we’ve established the variables that the calculation is based on and now we’ll calculate the current energy use of the AHU and then calculate the energy use after the lockout is reduced to 80F.
State that we’ve established the variables that the calculation is based on and now we’ll calculate the current energy use of the AHU and then calculate the energy use after the lockout is reduced to 80F.
State that we’ve established the variables that the calculation is based on and now we’ll calculate the current energy use of the AHU and then calculate the energy use after the lockout is reduced to 80F.
State that we will have some time allotted for questions during the presentation and also at the end, so please reserve your questions for those times.
State that we will have some time allotted for questions during the presentation and also at the end, so please reserve your questions for those times.