SlideShare a Scribd company logo
1 of 41
Download to read offline
Achieving Excellence with IESVE Essential Knowledge Series
IESVE for HVAC Simulation
www.iesve.com
Using ApacheHVAC for Detailed Simulation
and Plant Analysis
Michael Pollock
Consultancy Manager
Richard Tibenham
UK Business Development Manager
Michael Pollock
Consultancy Manager
(VE Consultancy)
Richard Tibenham
UK Business
Development Manager
(VE Consultancy)
Agenda
▪ When to Use ApacheHVAC
▪ Introduction to ApacheHVAC
▪ Advantages of Detailed HVAC Modelling
▪ ApacheHVAC Systems Wizard
▪ HVAC Systems Library
▪ Autosizing
▪ Loads Reports
▪ Central Plant Heat Pumps
▪ Energy Meters
▪ Q&A
www.iesve.com
De-risk Innovative Design Solutions
Minimise Performance Gap
When to use ApacheHVAC
Building Performance Ratings Methods
www.iesve.com
Building Performance ratings including NABERS, LEED,
BREEAM use detailed HVAC Modelling to accurately predict
energy demands.
Simulate innovative design solutions to help demonstrate
the suitability of a design solution as well as identify
potential issues and risks with a new design solution.
Simulating plant performance in detail to accurately predict
plant efficiency and system energy demands and explore
opportunities to optimise building efficiency.
Decarbonisation and Net-Zero Strategies
Support accurate predictions of carbon emissions from new
buildings and retrofit of existing buildings.
Introduction to ApacheHVAC
Features include:
www.iesve.com
• User Friendly
• Flexible
• Schematic
• Component based
network
• Multiplexing
• Pre-built Systems
• Auto-sizing
• Loads Reports
• Hot Water Loops
• Chilled Water Loops
• Central Plant Heat Pumps
• VRF
ApacheHVAC is the module within the Virtual Environment
used to Perform Detailed HVAC Modelling with ApacheSim
Advantages of
Detailed HVAC Modelling
Advantages of Detailed HVAC Modelling
www.iesve.com
Plant Capacity
Basic HVAC
Unlimited Heating & Cooling Capacity
Detailed HVAC
• Central Plant Capacity
• Loop Capacity
• Coil Capacity
• Radiator Capacity
• Loop Temperatures
• Ambient Temperatures
Advantages of Detailed HVAC Modelling
www.iesve.com
Heating / Cooling Efficiency
Basic HVAC
Constant Seasonal Efficiency
Detailed HVAC
Efficiency dynamically calculated
at each timestep.
Efficiency influenced by:
• Part Load
• Loop Temperatures
• Ambient Temperatures
Advantages of Detailed HVAC Modelling
www.iesve.com
Pump and Fan Power
Basic HVAC
Pump and fan power modelled as constant
Auxiliary Energy Value.
Detailed HVAC
Each pump and fan within network
separately modelled.
Power draw calculated at each time-step
based upon part load conditions.
Analysis of individual components allows
for enhanced analysis of results and
opportunities to make savings.
Advantages of Detailed HVAC Modelling
www.iesve.com
Plant Controls
Basic HVAC
Limited Control over system operation
Detailed HVAC
Flexible control of Airside Network:-
• DCV
• Supply temperature control
• Night Cooling
• Free-Cooling
Control over Water Networks
• Variable pumps Speed Control
• Temperature Control
HVAC System Wizard
HVAC System Wizard
General Setup and
Zoning
www.iesve.com
Wizard accessed from the
Apache Module
Create new or update
existing HVAC Network
Use existing Room Groups
or HVAC Zones
Choose between ASHRAE or
CIBSE methodology for
Room Loads analysis
HVAC System Wizard
Airside System
Selection
www.iesve.com
Select prototype from a
range of System Libraries
Assign system type to
selected Room Group
Include multiple network
types and groups within a
single project
Annotated graphics
illustrate each system
configuration
HVAC System Wizard
Waterside and Plant
Equipment Selection
www.iesve.com
Select from a range of
Chiller, Boiler, Heat Pump,
VRF systems
Assign Heating/Cooling
source to each of the
Airside Networks
HVAC System Wizard
HVAC Loads, Sizing &
Reports
www.iesve.com
Size Room Loads
Determine Peak Heating and
Cooling Loads for each Space and
calculates the required airflow
rates to meet Peak demand
Size System Loads
Sizes coils, fans Boilers, chillers
etc. based on previous loads
calculation
Run Apache Simulation
Perform a Dynamic Simulation
using the Autosized HVAC Network
HVAC System Wizard
ApacheHVAC Network
www.iesve.com
Upon Completion HVAC
network can be accessed
and modified within
ApacheHVAC
Green boundary and
checkbox indicates
network has been fully
Autosized
Changes can be made to
default network
efficiencies in line with
design
ApacheHVAC Prototype
Library and Autosizing
ApacheHVAC Prototype Library
Import Networks
www.iesve.com
Pre-built and fully autosizable
networks available to import into
any project.
Export Networks
Custom networks created by the
modeller can be saved to library to
re-use on future projects.
ApacheHVAC System Parameters
System Info Linked to
Apache Room Data
www.iesve.com
Heating / Cooling Setpoints
Automatically synced to Room
Data.
Updating set-points,
ventilation rates, occupancy
etc. automatically reflected in
HVAC network settings.
ApacheHVAC Autosizing
System Info Linked to Apache Room Data
www.iesve.com
All HVAC components and controllers automatically
sized to meet peak loads from loads analysis.
Autosized values indicated by Green text.
ApacheHVAC Loads reports
Sizing Reports
www.iesve.com
Automatic reports created
with Building/System/Room
level results.
Use to aid HVAC system
selection.
Modelling Heat Pumps
Heat Pumps
Reduced Grid CO2 Emissions Factor
www.iesve.com
CO2 Emissions associated with Grid
Electricity are steadily reducing
annually and future projections
continue this trend as more renewable
energy is added to the mix.
With the current carbon emission
factors, CO2 emissions from Electricity
are now lower than Natural Gas
making it a cleaner fuel option for use
in space heating.
This is further compounded when Heat
Pumps with High COP’s are utilised.
Source: BEIS Updated Energy and Emissions Projections 2017
Heat Pumps
High Efficiency
www.iesve.com
A Heat Pump is an efficient means
of generating heat which uses a
vapour compression cycle to move
energy from outside to inside the
building thus achieving
efficiencies greater than 100%.
Rated conditions are typically
provided at 7°C Outdoor
Temperature and 35°C Hot Water
Temperature.
Heat Pumps
Sensitivity to
Operating Conditions
www.iesve.com
The operating conditions for a
heat pump are important to
understand when determining the
efficiency and ultimately the
associated energy consumption.
For example, operating a heat
pump at higher temperatures will
typically result in lower operating
efficiencies.
Heat Pumps
Central Plant Heat
Pump Modelling
www.iesve.com
Loop can include multiple
heat pumps that can be
sequenced.
Heat pumps can be
modelled as Heating Only
or Heating and Cooling.
Heat Pumps
Auxiliary Heat Source
www.iesve.com
Systems can be designed
to include Secondary Heat
sources to support Heat
Pumps under colder
conditions.
Auxiliary water heating
can be added to either
primary or individual
secondary loops.
Modelling with
Energy Sub-Meters
Energy Sub-Meters
Creating an Energy Metering Tree
www.iesve.com
Energy Meters are created to track energy usage
within a dynamic simulation model.
Flexible tree structure allows for multiple tiers to
be created.
Energy metering can be set to match installed
metering strategy to facilitate calibrated energy
modelling.
Energy Sub-Meters
Assigning Energy Meters
www.iesve.com
Any energy consumer within the model can be
linked to an energy meter allowing the energy
usage to be grouped along with associated loads.
Energy meter results would then be reviewed
within VistaPro.
Interrogating HVAC
Results Within VistaPro
Results Analysis Room Level Results
www.iesve.com
Results Analysis HVAC Airside Components
www.iesve.com
Results Analysis HVAC Waterside Components
www.iesve.com
Results Analysis HVAC Nodes
www.iesve.com
Results Analysis HVAC Controllers
www.iesve.com
Results Analysis Energy Meters
www.iesve.com
Consultancy Support
www.iesve.com
• Geometric modelling
• UK Building Regulations modelling for Part L/Section
6/EPC/MEES compliance & strategic support
• Enhanced Building Energy Models (CIBSE TM54, NABERS,
BREEAM GN32 & ASHRAE 90.1)
• Detailed HVAC modelling adopting IES ApacheHVAC
• Net-Zero and Decarbonisation modelling for strategic
solutions and compliance (e.g. SFT NZPSB Standard)
• Part O strategy support & compliance modelling
• Daylight modelling for Planning Assessments
• CFD for Data Centres/External Comfort/Pollutant Dispersal
IESVE Software – Latest Release
www.iesve.com
https://www.iesve.com/ve2023
Contact Sales@iesve.com
NEW Indalo® Indoor Air Quality Navigator
Use CIBSE TM65 data to consider embodied carbon at design
stage, and meet the MEP 2040 challenge.
Contact Sales@iesve.com
NEW One Click LCA launch new MEP Carbon Tool
offering 90 days FREE access to IES customers
our next generation building energy and carbon management
platform
Sign up to our launch webinar on 13th March a 1pm GMT
Contact Sales@iesve.com
NEW IES Live
IESVE Training
www.iesve.com
IES Overheating Training (Online Live) - Elmhurst Energy
19th April –
Overheating in partnership with Elmhurst:
Live Online Training | IES (iesve.com)
Multiple Training courses from the IES Training
Team:
www.iesve.com
Richard.Tibenham@iesve.com
Michael.Pollock@iesve.com
Thank you
Q & A

More Related Content

What's hot

Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...RTTS
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementUpsite Technologies
 
Effortless HVAC simulation using ApacheHVAC
Effortless HVAC simulation using ApacheHVACEffortless HVAC simulation using ApacheHVAC
Effortless HVAC simulation using ApacheHVACIES VE
 
Section 6 2022 and Part O 2021
Section 6 2022 and Part O 2021Section 6 2022 and Part O 2021
Section 6 2022 and Part O 2021IES VE
 
Daylight and Wind Studies for Successful Planning Applications in Ireland
Daylight and Wind Studies for Successful Planning Applications in IrelandDaylight and Wind Studies for Successful Planning Applications in Ireland
Daylight and Wind Studies for Successful Planning Applications in IrelandIES VE
 
Heating & Cooling Loads Calculations and HVAC Equipment Sizing
Heating & Cooling Loads Calculations  and HVAC Equipment SizingHeating & Cooling Loads Calculations  and HVAC Equipment Sizing
Heating & Cooling Loads Calculations and HVAC Equipment SizingIES VE
 
Building Data Lakes and Analytics on AWS
Building Data Lakes and Analytics on AWSBuilding Data Lakes and Analytics on AWS
Building Data Lakes and Analytics on AWSAmazon Web Services
 
Julie Godefroy - TM54 Analysis Webinar
Julie Godefroy - TM54 Analysis WebinarJulie Godefroy - TM54 Analysis Webinar
Julie Godefroy - TM54 Analysis WebinarIES VE
 
Intelligent Net-Zero Carbon Investment Planning for Buildings and Portfolios
Intelligent Net-Zero Carbon Investment Planning for Buildings and PortfoliosIntelligent Net-Zero Carbon Investment Planning for Buildings and Portfolios
Intelligent Net-Zero Carbon Investment Planning for Buildings and PortfoliosIES VE
 
Datacenter101
Datacenter101Datacenter101
Datacenter101tarundua
 
Data center cooling ahmed abdel-salam (2019)
Data center cooling   ahmed abdel-salam (2019)Data center cooling   ahmed abdel-salam (2019)
Data center cooling ahmed abdel-salam (2019)Ahmed Abdel-Salam
 
The Data Center Evolution and Pre-Fab Data Centers
The Data Center Evolution and Pre-Fab Data CentersThe Data Center Evolution and Pre-Fab Data Centers
The Data Center Evolution and Pre-Fab Data CentersSchneider Electric
 
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...IES VE
 
Gary Clark - RIBA 2030 Climate Challenge
Gary Clark - RIBA 2030 Climate ChallengeGary Clark - RIBA 2030 Climate Challenge
Gary Clark - RIBA 2030 Climate ChallengeIES VE
 
Data Center Lessons Learned
Data Center Lessons LearnedData Center Lessons Learned
Data Center Lessons LearnedTom Greenbaum
 
ASHRAE 90.4 vs. 90.1 - Five Questions
ASHRAE 90.4 vs. 90.1 - Five QuestionsASHRAE 90.4 vs. 90.1 - Five Questions
ASHRAE 90.4 vs. 90.1 - Five QuestionsMarcHourican1
 

What's hot (20)

Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow Management
 
Effortless HVAC simulation using ApacheHVAC
Effortless HVAC simulation using ApacheHVACEffortless HVAC simulation using ApacheHVAC
Effortless HVAC simulation using ApacheHVAC
 
Section 6 2022 and Part O 2021
Section 6 2022 and Part O 2021Section 6 2022 and Part O 2021
Section 6 2022 and Part O 2021
 
Daylight and Wind Studies for Successful Planning Applications in Ireland
Daylight and Wind Studies for Successful Planning Applications in IrelandDaylight and Wind Studies for Successful Planning Applications in Ireland
Daylight and Wind Studies for Successful Planning Applications in Ireland
 
Heating & Cooling Loads Calculations and HVAC Equipment Sizing
Heating & Cooling Loads Calculations  and HVAC Equipment SizingHeating & Cooling Loads Calculations  and HVAC Equipment Sizing
Heating & Cooling Loads Calculations and HVAC Equipment Sizing
 
Candu reactor
Candu reactorCandu reactor
Candu reactor
 
Building Data Lakes and Analytics on AWS
Building Data Lakes and Analytics on AWSBuilding Data Lakes and Analytics on AWS
Building Data Lakes and Analytics on AWS
 
Julie Godefroy - TM54 Analysis Webinar
Julie Godefroy - TM54 Analysis WebinarJulie Godefroy - TM54 Analysis Webinar
Julie Godefroy - TM54 Analysis Webinar
 
Intelligent Net-Zero Carbon Investment Planning for Buildings and Portfolios
Intelligent Net-Zero Carbon Investment Planning for Buildings and PortfoliosIntelligent Net-Zero Carbon Investment Planning for Buildings and Portfolios
Intelligent Net-Zero Carbon Investment Planning for Buildings and Portfolios
 
Datacenter101
Datacenter101Datacenter101
Datacenter101
 
Data center cooling ahmed abdel-salam (2019)
Data center cooling   ahmed abdel-salam (2019)Data center cooling   ahmed abdel-salam (2019)
Data center cooling ahmed abdel-salam (2019)
 
HVAC for Data Centers
HVAC for Data CentersHVAC for Data Centers
HVAC for Data Centers
 
The Data Center Evolution and Pre-Fab Data Centers
The Data Center Evolution and Pre-Fab Data CentersThe Data Center Evolution and Pre-Fab Data Centers
The Data Center Evolution and Pre-Fab Data Centers
 
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...
IES - RIBA 2030 Climate Challenge - Rising to the performance challenge: What...
 
Gary Clark - RIBA 2030 Climate Challenge
Gary Clark - RIBA 2030 Climate ChallengeGary Clark - RIBA 2030 Climate Challenge
Gary Clark - RIBA 2030 Climate Challenge
 
Data Center Lessons Learned
Data Center Lessons LearnedData Center Lessons Learned
Data Center Lessons Learned
 
ASHRAE 90.4 vs. 90.1 - Five Questions
ASHRAE 90.4 vs. 90.1 - Five QuestionsASHRAE 90.4 vs. 90.1 - Five Questions
ASHRAE 90.4 vs. 90.1 - Five Questions
 

Similar to Achieving Excellence IESVE for HVAC Simulation.pdf

Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...
Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...
Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...IBMAsean
 
Chilled Water Plant Optimization
Chilled Water Plant OptimizationChilled Water Plant Optimization
Chilled Water Plant OptimizationJoePessa
 
Development of calibrated operational models of existing buildings for real-t...
Development of calibrated operational models of existing buildings for real-t...Development of calibrated operational models of existing buildings for real-t...
Development of calibrated operational models of existing buildings for real-t...IES VE
 
Development of Calibrated Operational Models for Real-Time Decision Support a...
Development of Calibrated Operational Models for Real-Time Decision Support a...Development of Calibrated Operational Models for Real-Time Decision Support a...
Development of Calibrated Operational Models for Real-Time Decision Support a...Daniel Coakley
 
Developing an Open Source Hourly Building Energy Modelling Software Tool
Developing an Open Source Hourly Building Energy Modelling Software ToolDeveloping an Open Source Hourly Building Energy Modelling Software Tool
Developing an Open Source Hourly Building Energy Modelling Software ToolRDH Building Science
 
Optimizing The Data Centre Environment
Optimizing The Data Centre EnvironmentOptimizing The Data Centre Environment
Optimizing The Data Centre Environmentmixalisg
 
TED LIVE - LEAN ENERGY MANAGEMENT
TED LIVE - LEAN ENERGY MANAGEMENTTED LIVE - LEAN ENERGY MANAGEMENT
TED LIVE - LEAN ENERGY MANAGEMENTDanny Scott
 
Rmes load based control
Rmes load based controlRmes load based control
Rmes load based controljtlucas
 
Gard analytics DOE energy modeling
Gard analytics DOE energy modelingGard analytics DOE energy modeling
Gard analytics DOE energy modelingSteve Klein
 
Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Lucia Shen
 
Big 10 & Friends: Data-Driven Buildings
Big 10 & Friends: Data-Driven BuildingsBig 10 & Friends: Data-Driven Buildings
Big 10 & Friends: Data-Driven BuildingsAndrew (Drew) DePriest
 
Czero Engineering - Feb 2017
Czero Engineering  - Feb 2017Czero Engineering  - Feb 2017
Czero Engineering - Feb 2017Czero
 
Simulador de processos CHEMCAD
Simulador de processos CHEMCADSimulador de processos CHEMCAD
Simulador de processos CHEMCADJoão Victor Prado
 
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...IRJET Journal
 
Slides: The Top 3 North America Data Center Trends for Cooling
Slides: The Top 3 North America Data Center Trends for CoolingSlides: The Top 3 North America Data Center Trends for Cooling
Slides: The Top 3 North America Data Center Trends for CoolingGraybar
 
KK Wind Solutions presentation on Control System Retrofit
KK Wind Solutions presentation on Control System RetrofitKK Wind Solutions presentation on Control System Retrofit
KK Wind Solutions presentation on Control System RetrofitRené Balle
 
ENERGY SAVINGS IN MEDIUM OFFICES
ENERGY SAVINGS IN MEDIUM OFFICESENERGY SAVINGS IN MEDIUM OFFICES
ENERGY SAVINGS IN MEDIUM OFFICESMaxJason4
 

Similar to Achieving Excellence IESVE for HVAC Simulation.pdf (20)

Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...
Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...
Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...
 
Chilled Water Plant Optimization
Chilled Water Plant OptimizationChilled Water Plant Optimization
Chilled Water Plant Optimization
 
Development of calibrated operational models of existing buildings for real-t...
Development of calibrated operational models of existing buildings for real-t...Development of calibrated operational models of existing buildings for real-t...
Development of calibrated operational models of existing buildings for real-t...
 
Development of Calibrated Operational Models for Real-Time Decision Support a...
Development of Calibrated Operational Models for Real-Time Decision Support a...Development of Calibrated Operational Models for Real-Time Decision Support a...
Development of Calibrated Operational Models for Real-Time Decision Support a...
 
Developing an Open Source Hourly Building Energy Modelling Software Tool
Developing an Open Source Hourly Building Energy Modelling Software ToolDeveloping an Open Source Hourly Building Energy Modelling Software Tool
Developing an Open Source Hourly Building Energy Modelling Software Tool
 
Optimizing The Data Centre Environment
Optimizing The Data Centre EnvironmentOptimizing The Data Centre Environment
Optimizing The Data Centre Environment
 
TED LIVE - LEAN ENERGY MANAGEMENT
TED LIVE - LEAN ENERGY MANAGEMENTTED LIVE - LEAN ENERGY MANAGEMENT
TED LIVE - LEAN ENERGY MANAGEMENT
 
Showcase ppt ver 8
Showcase ppt ver 8Showcase ppt ver 8
Showcase ppt ver 8
 
Showcase ppt ver 8
Showcase ppt ver 8Showcase ppt ver 8
Showcase ppt ver 8
 
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
2014 PV Performance Modeling Workshop: Optimizing PV Designs with HelioScope:...
 
Rmes load based control
Rmes load based controlRmes load based control
Rmes load based control
 
Gard analytics DOE energy modeling
Gard analytics DOE energy modelingGard analytics DOE energy modeling
Gard analytics DOE energy modeling
 
Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015
 
Big 10 & Friends: Data-Driven Buildings
Big 10 & Friends: Data-Driven BuildingsBig 10 & Friends: Data-Driven Buildings
Big 10 & Friends: Data-Driven Buildings
 
Czero Engineering - Feb 2017
Czero Engineering  - Feb 2017Czero Engineering  - Feb 2017
Czero Engineering - Feb 2017
 
Simulador de processos CHEMCAD
Simulador de processos CHEMCADSimulador de processos CHEMCAD
Simulador de processos CHEMCAD
 
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...
Heat Load Calculation and Coordination of Multispecialty Hospital Using Revit...
 
Slides: The Top 3 North America Data Center Trends for Cooling
Slides: The Top 3 North America Data Center Trends for CoolingSlides: The Top 3 North America Data Center Trends for Cooling
Slides: The Top 3 North America Data Center Trends for Cooling
 
KK Wind Solutions presentation on Control System Retrofit
KK Wind Solutions presentation on Control System RetrofitKK Wind Solutions presentation on Control System Retrofit
KK Wind Solutions presentation on Control System Retrofit
 
ENERGY SAVINGS IN MEDIUM OFFICES
ENERGY SAVINGS IN MEDIUM OFFICESENERGY SAVINGS IN MEDIUM OFFICES
ENERGY SAVINGS IN MEDIUM OFFICES
 

More from IES VE

Retrofitting for the Built Environment - IES
Retrofitting for the Built Environment - IESRetrofitting for the Built Environment - IES
Retrofitting for the Built Environment - IESIES VE
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
The Importance of Indoor Air Quality (French)
The Importance of Indoor Air Quality (French)The Importance of Indoor Air Quality (French)
The Importance of Indoor Air Quality (French)IES VE
 
Utilising Energy Modelling for LCSF and PSDS Funding Applications
Utilising Energy Modelling for LCSF and PSDS Funding ApplicationsUtilising Energy Modelling for LCSF and PSDS Funding Applications
Utilising Energy Modelling for LCSF and PSDS Funding ApplicationsIES VE
 
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...IES VE
 
The Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built EnvironmentThe Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built EnvironmentIES VE
 
Common ANZ daylight / sunlight modelling approaches using IESVE.
Common ANZ daylight / sunlight modelling approaches using IESVE.Common ANZ daylight / sunlight modelling approaches using IESVE.
Common ANZ daylight / sunlight modelling approaches using IESVE.IES VE
 
Making Sustainability Affordable with Digital Twins
Making Sustainability Affordable with Digital TwinsMaking Sustainability Affordable with Digital Twins
Making Sustainability Affordable with Digital TwinsIES VE
 
How can Digital Twins support Manufacturers on the path to Net-Zero?
How can Digital Twins support Manufacturers on the path to Net-Zero?How can Digital Twins support Manufacturers on the path to Net-Zero?
How can Digital Twins support Manufacturers on the path to Net-Zero?IES VE
 
Getting Multiple Buildings to Net-Zero
Getting Multiple Buildings to Net-ZeroGetting Multiple Buildings to Net-Zero
Getting Multiple Buildings to Net-ZeroIES VE
 
Digital Energy Services for Healthcare.pdf
Digital Energy Services for Healthcare.pdfDigital Energy Services for Healthcare.pdf
Digital Energy Services for Healthcare.pdfIES VE
 
Digital Twin implementation on University of Glasgow campus
Digital Twin implementation on University of Glasgow campusDigital Twin implementation on University of Glasgow campus
Digital Twin implementation on University of Glasgow campusIES VE
 
Part L and O 2021 – what these changes mean for designers
Part L and O 2021 – what these changes mean for designersPart L and O 2021 – what these changes mean for designers
Part L and O 2021 – what these changes mean for designersIES VE
 
Richard Quincey - TM54 Analysis Webinar
Richard Quincey - TM54 Analysis WebinarRichard Quincey - TM54 Analysis Webinar
Richard Quincey - TM54 Analysis WebinarIES VE
 
Niall Gibson - TM54 Analysis Webinar
Niall Gibson - TM54 Analysis WebinarNiall Gibson - TM54 Analysis Webinar
Niall Gibson - TM54 Analysis WebinarIES VE
 
Rory Bergin - RIBA 2030 Climate Challenge
Rory Bergin - RIBA 2030 Climate ChallengeRory Bergin - RIBA 2030 Climate Challenge
Rory Bergin - RIBA 2030 Climate ChallengeIES VE
 
Doug Johnson - RIBA 2030 Climate Challenge
Doug Johnson - RIBA 2030 Climate ChallengeDoug Johnson - RIBA 2030 Climate Challenge
Doug Johnson - RIBA 2030 Climate ChallengeIES VE
 

More from IES VE (17)

Retrofitting for the Built Environment - IES
Retrofitting for the Built Environment - IESRetrofitting for the Built Environment - IES
Retrofitting for the Built Environment - IES
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
The Importance of Indoor Air Quality (French)
The Importance of Indoor Air Quality (French)The Importance of Indoor Air Quality (French)
The Importance of Indoor Air Quality (French)
 
Utilising Energy Modelling for LCSF and PSDS Funding Applications
Utilising Energy Modelling for LCSF and PSDS Funding ApplicationsUtilising Energy Modelling for LCSF and PSDS Funding Applications
Utilising Energy Modelling for LCSF and PSDS Funding Applications
 
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...
Empowering Net-Zero: Digital Insights and Funding Opportunities for Industria...
 
The Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built EnvironmentThe Power of Heat Decarbonisation Plans in the Built Environment
The Power of Heat Decarbonisation Plans in the Built Environment
 
Common ANZ daylight / sunlight modelling approaches using IESVE.
Common ANZ daylight / sunlight modelling approaches using IESVE.Common ANZ daylight / sunlight modelling approaches using IESVE.
Common ANZ daylight / sunlight modelling approaches using IESVE.
 
Making Sustainability Affordable with Digital Twins
Making Sustainability Affordable with Digital TwinsMaking Sustainability Affordable with Digital Twins
Making Sustainability Affordable with Digital Twins
 
How can Digital Twins support Manufacturers on the path to Net-Zero?
How can Digital Twins support Manufacturers on the path to Net-Zero?How can Digital Twins support Manufacturers on the path to Net-Zero?
How can Digital Twins support Manufacturers on the path to Net-Zero?
 
Getting Multiple Buildings to Net-Zero
Getting Multiple Buildings to Net-ZeroGetting Multiple Buildings to Net-Zero
Getting Multiple Buildings to Net-Zero
 
Digital Energy Services for Healthcare.pdf
Digital Energy Services for Healthcare.pdfDigital Energy Services for Healthcare.pdf
Digital Energy Services for Healthcare.pdf
 
Digital Twin implementation on University of Glasgow campus
Digital Twin implementation on University of Glasgow campusDigital Twin implementation on University of Glasgow campus
Digital Twin implementation on University of Glasgow campus
 
Part L and O 2021 – what these changes mean for designers
Part L and O 2021 – what these changes mean for designersPart L and O 2021 – what these changes mean for designers
Part L and O 2021 – what these changes mean for designers
 
Richard Quincey - TM54 Analysis Webinar
Richard Quincey - TM54 Analysis WebinarRichard Quincey - TM54 Analysis Webinar
Richard Quincey - TM54 Analysis Webinar
 
Niall Gibson - TM54 Analysis Webinar
Niall Gibson - TM54 Analysis WebinarNiall Gibson - TM54 Analysis Webinar
Niall Gibson - TM54 Analysis Webinar
 
Rory Bergin - RIBA 2030 Climate Challenge
Rory Bergin - RIBA 2030 Climate ChallengeRory Bergin - RIBA 2030 Climate Challenge
Rory Bergin - RIBA 2030 Climate Challenge
 
Doug Johnson - RIBA 2030 Climate Challenge
Doug Johnson - RIBA 2030 Climate ChallengeDoug Johnson - RIBA 2030 Climate Challenge
Doug Johnson - RIBA 2030 Climate Challenge
 

Recently uploaded

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Recently uploaded (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

Achieving Excellence IESVE for HVAC Simulation.pdf

  • 1. Achieving Excellence with IESVE Essential Knowledge Series IESVE for HVAC Simulation www.iesve.com Using ApacheHVAC for Detailed Simulation and Plant Analysis Michael Pollock Consultancy Manager Richard Tibenham UK Business Development Manager
  • 2. Michael Pollock Consultancy Manager (VE Consultancy) Richard Tibenham UK Business Development Manager (VE Consultancy)
  • 3. Agenda ▪ When to Use ApacheHVAC ▪ Introduction to ApacheHVAC ▪ Advantages of Detailed HVAC Modelling ▪ ApacheHVAC Systems Wizard ▪ HVAC Systems Library ▪ Autosizing ▪ Loads Reports ▪ Central Plant Heat Pumps ▪ Energy Meters ▪ Q&A www.iesve.com
  • 4. De-risk Innovative Design Solutions Minimise Performance Gap When to use ApacheHVAC Building Performance Ratings Methods www.iesve.com Building Performance ratings including NABERS, LEED, BREEAM use detailed HVAC Modelling to accurately predict energy demands. Simulate innovative design solutions to help demonstrate the suitability of a design solution as well as identify potential issues and risks with a new design solution. Simulating plant performance in detail to accurately predict plant efficiency and system energy demands and explore opportunities to optimise building efficiency. Decarbonisation and Net-Zero Strategies Support accurate predictions of carbon emissions from new buildings and retrofit of existing buildings.
  • 5. Introduction to ApacheHVAC Features include: www.iesve.com • User Friendly • Flexible • Schematic • Component based network • Multiplexing • Pre-built Systems • Auto-sizing • Loads Reports • Hot Water Loops • Chilled Water Loops • Central Plant Heat Pumps • VRF ApacheHVAC is the module within the Virtual Environment used to Perform Detailed HVAC Modelling with ApacheSim
  • 7. Advantages of Detailed HVAC Modelling www.iesve.com Plant Capacity Basic HVAC Unlimited Heating & Cooling Capacity Detailed HVAC • Central Plant Capacity • Loop Capacity • Coil Capacity • Radiator Capacity • Loop Temperatures • Ambient Temperatures
  • 8. Advantages of Detailed HVAC Modelling www.iesve.com Heating / Cooling Efficiency Basic HVAC Constant Seasonal Efficiency Detailed HVAC Efficiency dynamically calculated at each timestep. Efficiency influenced by: • Part Load • Loop Temperatures • Ambient Temperatures
  • 9. Advantages of Detailed HVAC Modelling www.iesve.com Pump and Fan Power Basic HVAC Pump and fan power modelled as constant Auxiliary Energy Value. Detailed HVAC Each pump and fan within network separately modelled. Power draw calculated at each time-step based upon part load conditions. Analysis of individual components allows for enhanced analysis of results and opportunities to make savings.
  • 10. Advantages of Detailed HVAC Modelling www.iesve.com Plant Controls Basic HVAC Limited Control over system operation Detailed HVAC Flexible control of Airside Network:- • DCV • Supply temperature control • Night Cooling • Free-Cooling Control over Water Networks • Variable pumps Speed Control • Temperature Control
  • 12. HVAC System Wizard General Setup and Zoning www.iesve.com Wizard accessed from the Apache Module Create new or update existing HVAC Network Use existing Room Groups or HVAC Zones Choose between ASHRAE or CIBSE methodology for Room Loads analysis
  • 13. HVAC System Wizard Airside System Selection www.iesve.com Select prototype from a range of System Libraries Assign system type to selected Room Group Include multiple network types and groups within a single project Annotated graphics illustrate each system configuration
  • 14. HVAC System Wizard Waterside and Plant Equipment Selection www.iesve.com Select from a range of Chiller, Boiler, Heat Pump, VRF systems Assign Heating/Cooling source to each of the Airside Networks
  • 15. HVAC System Wizard HVAC Loads, Sizing & Reports www.iesve.com Size Room Loads Determine Peak Heating and Cooling Loads for each Space and calculates the required airflow rates to meet Peak demand Size System Loads Sizes coils, fans Boilers, chillers etc. based on previous loads calculation Run Apache Simulation Perform a Dynamic Simulation using the Autosized HVAC Network
  • 16. HVAC System Wizard ApacheHVAC Network www.iesve.com Upon Completion HVAC network can be accessed and modified within ApacheHVAC Green boundary and checkbox indicates network has been fully Autosized Changes can be made to default network efficiencies in line with design
  • 18. ApacheHVAC Prototype Library Import Networks www.iesve.com Pre-built and fully autosizable networks available to import into any project. Export Networks Custom networks created by the modeller can be saved to library to re-use on future projects.
  • 19. ApacheHVAC System Parameters System Info Linked to Apache Room Data www.iesve.com Heating / Cooling Setpoints Automatically synced to Room Data. Updating set-points, ventilation rates, occupancy etc. automatically reflected in HVAC network settings.
  • 20. ApacheHVAC Autosizing System Info Linked to Apache Room Data www.iesve.com All HVAC components and controllers automatically sized to meet peak loads from loads analysis. Autosized values indicated by Green text.
  • 21. ApacheHVAC Loads reports Sizing Reports www.iesve.com Automatic reports created with Building/System/Room level results. Use to aid HVAC system selection.
  • 23. Heat Pumps Reduced Grid CO2 Emissions Factor www.iesve.com CO2 Emissions associated with Grid Electricity are steadily reducing annually and future projections continue this trend as more renewable energy is added to the mix. With the current carbon emission factors, CO2 emissions from Electricity are now lower than Natural Gas making it a cleaner fuel option for use in space heating. This is further compounded when Heat Pumps with High COP’s are utilised. Source: BEIS Updated Energy and Emissions Projections 2017
  • 24. Heat Pumps High Efficiency www.iesve.com A Heat Pump is an efficient means of generating heat which uses a vapour compression cycle to move energy from outside to inside the building thus achieving efficiencies greater than 100%. Rated conditions are typically provided at 7°C Outdoor Temperature and 35°C Hot Water Temperature.
  • 25. Heat Pumps Sensitivity to Operating Conditions www.iesve.com The operating conditions for a heat pump are important to understand when determining the efficiency and ultimately the associated energy consumption. For example, operating a heat pump at higher temperatures will typically result in lower operating efficiencies.
  • 26. Heat Pumps Central Plant Heat Pump Modelling www.iesve.com Loop can include multiple heat pumps that can be sequenced. Heat pumps can be modelled as Heating Only or Heating and Cooling.
  • 27. Heat Pumps Auxiliary Heat Source www.iesve.com Systems can be designed to include Secondary Heat sources to support Heat Pumps under colder conditions. Auxiliary water heating can be added to either primary or individual secondary loops.
  • 29. Energy Sub-Meters Creating an Energy Metering Tree www.iesve.com Energy Meters are created to track energy usage within a dynamic simulation model. Flexible tree structure allows for multiple tiers to be created. Energy metering can be set to match installed metering strategy to facilitate calibrated energy modelling.
  • 30. Energy Sub-Meters Assigning Energy Meters www.iesve.com Any energy consumer within the model can be linked to an energy meter allowing the energy usage to be grouped along with associated loads. Energy meter results would then be reviewed within VistaPro.
  • 32. Results Analysis Room Level Results www.iesve.com
  • 33. Results Analysis HVAC Airside Components www.iesve.com
  • 34. Results Analysis HVAC Waterside Components www.iesve.com
  • 35. Results Analysis HVAC Nodes www.iesve.com
  • 36. Results Analysis HVAC Controllers www.iesve.com
  • 37. Results Analysis Energy Meters www.iesve.com
  • 38. Consultancy Support www.iesve.com • Geometric modelling • UK Building Regulations modelling for Part L/Section 6/EPC/MEES compliance & strategic support • Enhanced Building Energy Models (CIBSE TM54, NABERS, BREEAM GN32 & ASHRAE 90.1) • Detailed HVAC modelling adopting IES ApacheHVAC • Net-Zero and Decarbonisation modelling for strategic solutions and compliance (e.g. SFT NZPSB Standard) • Part O strategy support & compliance modelling • Daylight modelling for Planning Assessments • CFD for Data Centres/External Comfort/Pollutant Dispersal
  • 39. IESVE Software – Latest Release www.iesve.com https://www.iesve.com/ve2023 Contact Sales@iesve.com NEW Indalo® Indoor Air Quality Navigator Use CIBSE TM65 data to consider embodied carbon at design stage, and meet the MEP 2040 challenge. Contact Sales@iesve.com NEW One Click LCA launch new MEP Carbon Tool offering 90 days FREE access to IES customers our next generation building energy and carbon management platform Sign up to our launch webinar on 13th March a 1pm GMT Contact Sales@iesve.com NEW IES Live
  • 40. IESVE Training www.iesve.com IES Overheating Training (Online Live) - Elmhurst Energy 19th April – Overheating in partnership with Elmhurst: Live Online Training | IES (iesve.com) Multiple Training courses from the IES Training Team: