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Project group members and presentation time

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Project group members and presentation time Thursday Chris Holcomb Cristian Wolleter Michelle Noriega Mei Baumann, Zahid Alibhai, Ellie Azolaty Randy Maddox and ... – PowerPoint PPT presentation

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Title: Project group members and presentation time


1
Project group members and presentation time
  • Thursday
  • Chris Holcomb
  • Cristian Wolleter
  • Michelle Noriega
  • Mei Baumann, Zahid Alibhai, Ellie Azolaty
  • Randy Maddox and Garrett Jones
  • Mariel Kerbacher
  • Friday
  • Jeremy Theodore
  • Steve Bourne
  • Jordan Clark and Adam Keeling
  • Meg Gunther and Nick David
  • Joshua Rhodes and Marwa Farhat
  • Yogita Manan and Kostas Mouratideis
  • Sarah Johnson, Jocelyn Citty, Benjamin Ash
  • Lauren Davis and Marcus Allen
  • Jae Koh and Kenneth Graeves

2
Lecture Objectives
  • Discuss accuracy of energy modeling
  • Talk about available modeling tools
  • Review the course outcome

3
What are the reasons for energy simulations?
  • System Development
  • Building design improvement
  • Economic benefits
  • Budget planning

4
How to evaluate the whole building simulation
tools
  • Two options
  • Comparison with the experimental data
  • - monitoring
  • - very expensive
  • - feasible only for smaller buildings
  • 2) Comparison with other energy simulation
    programs
  • - for the same input data
  • - system of numerical experiments
  • - BESTEST

5
Comparison with measured data
Cranfield test rooms (from Lomas et al 1994a)
6
BESTEST Building Energy Simulation TEST
  • System of tests ( 40 cases)
  • - Each test emphasizes certain phenomena like
  • external (internal) convection, radiation,
    ground contact
  • Simple geometry
  • Mountain climate

COMPARE THE RESULTS
7
Example of best test comparison
8
What are the reasons for energy simulations?
  • System Development
  • Building design improvement
  • Economic benefits
  • Budget planning

9
Life Cycle Cost Analysis
  • Engineering economics

10
Example
  • Using eQUEST analyze the benefits (energy saving
    and pay back period)
  • of installing
  • - low-e double glazed window
  • - variable frequency drive
  • in a school building in NYC

11
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12
What are the reasons for energy simulations?
  • System Development
  • Building design improvement
  • Economic benefits
  • Budget planning

13
For budget planning
Empirical model
Load vs. dry bulb temperature Measured for a
building in Syracuse, NY
Model
For average year use TMY2
835890ton hour 10.031 106 Btu
14
Advance Energy Modeling with coupled energy
and airflow Example Night Cooling/Hybrid
Ventilation
The IONICA Office Building, Cambridge, UK
15
Night Cooling/Hybrid Ventilation
Requires combined Energy and airflow modeling
16
Night Cooling/Hybrid Ventilation The IONICA
Office Building, Cambridge, UK
17
Available software
Which software to use - Depends on project
requirements - If you have a choice the one
which passed BETEST Be ready to conduct
additional analysis based on your modeling skills

http//www.eere.energy.gov/buildings/tools_directo
ry/subjects_sub.cfm
18
Structure of ES programs
Graphical User Interface (GUI)
Solver
Interface for input data
Interface for result presentation
Preprocessor
Preprocessor
Engine
19
Modeling steps
  • Define the domain
  • Analyze the most important phenomena
  • and define the most important elements
  • Discretize the elements and
  • define the connection
  • Write energy and mass balance
  • equations
  • Solve the equations
  • Present the result

20
EnergyPlus
21
Component-based simulation programs - Trnsys
22
ESPr University of Strathclyde - Glasgow,
Scotland, UK
  • Detailed models
  • Research program

23
Course Objectives
  • 1. Identify basic building elements which affect
    building energy consumption and analyze the
    performance of these elements using energy
    conservation models.
  • 2. Analyze physics behind various numerical tools
    used for solving different heat transfer problems
    in building elements.
  • 3. Use basic numerical methods for solving
    systems of linear and nonlinear equations.
  • 4. Conduct building energy analysis using
    comprehensive computer simulation tools.
  • 5. Evaluate performance of building envelope and
    environmental systems considering energy
    consumption.
  • 6. Perform parametric analysis to evaluate the
    effects of design choices and operational
    strategies of building systems on building energy
    use.
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