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Final project presentation. Thursday 8 – 10:45 am 16 presentations 5 minutes each +2 minutes for Q&A PowerPoint Upload the file before the class Approximately 5-6 slides (a minute per slide) Problem introduction Model development - specific problem Results Results
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Final project presentation • Thursday 8 – 10:45 am • 16 presentations • 5 minutes each +2 minutes for Q&A • PowerPoint • Upload the file before the class • Approximately 5-6 slides (a minute per slide) • Problem introduction • Model development - specific problem • Results • Results • Discussion / Summary
Presenter list Thursday 9:30 am: • CHALOS; JENNIFER • MAREDIA; ALIZAIN • GILHOUSEN; MICHELLE • HARLAN; JASON • LUKERT; DAVID • RENDON; NOLAN • OLSON; SARAH • POGUE; CAYLEA • NGUYEN; PRISCILLA • VAZQUEZ; TANIA • CANTU; ALEXANDER • CLINTON; WILLIAM • GARCIA GALAN; ANDRES • GARCIA; ALEXANDRA Thursday 8:00 am: • ALDRED; JOSH • GELFAND; SAMUEL • BI; CHENYANG • PEREZ; KRYSTIAN • SUN; WENXIANG • EMELIEN; TIMOTHEE • KIM; MIHYE • WINKLER; CHRISTOPHER • JAMES; HANNAH • VAN SHELLENBECK • COBB; MICHAEL
Lecture Objectives: • Discuss energy modeling software and • Application • Accuracy • Use in LEED certification process • Course summary and Course evaluation
ES programs(whole building energy simulation tool) • Large variety • http://apps1.eere.energy.gov/buildings/tools_directory/alpha_list.cfm • DOE2 • eQUEST (DOE2) • BLAST • ESPr • TRNSYS • EnergyPlus (DOE2 & BLAST)
ES programs(specific) Window / Therm http://windows.lbl.gov/software/NFRC/NFRCSim6.3-2010-Cover-Chptr01.pdf WUFI-ORNL/IBP http://apps1.eere.energy.gov/buildings/tools_directory/software.cfm/ID=362/pagename=alpha_list_sub
Your models in • Excel • MATLAB • Scilab • http://www.scilab.org/ Many other • Mathematica • http://www.wolfram.com/mathematica/ • Mathcad • http://www.ptc.com/product/mathcad/ • Python • http://www.python.org/psf/ • EES • http://www.fchart.com/ees/ • …….
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
Comparison with measured data Cranfield test rooms (from Lomas et al 1994a)
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
Reasons for energy simulations 1) Building design improvement 2) System development 3) Economic benefits (pay back period) 4) Budget planning (fuel consumption)
1) Energy Modeling for LEED Projects The methodology described in ASHRAE 90.1–2004 (Appendix G), California Title 24–2005, and Oregon Energy Code 2005 involves the generation of two energy models: • one representing a baseline minimum-standard building and the • other representing the proposed building with all its designed energy enhancements. • ASHRAE Standard 90.1 “Energy Standard for Buildings Except Low-Rise Residential Buildings” • posted in the course handouts, also UT library has all ASHRAE and ANSI standards http://www.lib.utexas.edu/indexes/titles.php?let=A • Relevant LEED Documentation • ttp://www.usgbc.org/ShowFile.aspx?DocumentID=7795 • Software List http://www.usgbc.org/ShowFile.aspx?DocumentID=3478
DOE reference building that satisfy ASHRAE 90.1 • Sixteen climate zones • Sixteen building types • http://www1.eere.energy.gov/buildings/commercial_initiative/reference_buildings.html • Models already built for use in EnergyPlus
2) System development • Example: facade design tool THERM: heat thermal bridge analysis
3) Economic benefitsLife Cycle Cost Analysis • Engineering economics Energy benefits
Parameters in life cycle cost analysis Beside energy benefits expressed in $, you should consider: • First cost • Maintenance • Operation life • Change of the energy cost • Interest (inflation) • Taxes, Discounts, Rebates, other Government measures
Example • Using eQUEST analyze the benefits (energy saving and pay back period) of installing - low-e double glazed window - economizer in the school building in NYC
Reasons for energy simulations • System development • Building design improvement • Economic benefits (pay back period) 4) Budget planning (fuel consumption) Least accurate
Source of inaccuracywhen considering final results • Assumptions related to the model • Lack of precise input data • Modeling software (tool) limitations • Limitation related to available computational resources • Result interpretations
but Simulation Software Wrong IN Wrong OUT Use it wisely! Building modeling software Very powerful tool We need sophisticated users more than sophisticated software
How to get more info about software (any software) • Software documentation • http://apps1.eere.energy.gov/buildings/energyplus/energyplus_documentation.cfm • ….. • Forums • http://lists.onebuilding.org/pipermail/equest-users-onebuilding.org/ • …. • Call developers • works primarily for non-free software
Review 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 the 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 the 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. 7. Use building simulations in life-cycle cost analyses for selection of energy-efficient building components.