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  1. Lecture Objectives: • Discuss about the final project and presentation • Introduce advance simulation tools • Review the course topics

  2. Final project assignment Final submission on May 7, 2009. • Final presentation (May 5 and 7) You will give a 7 minute oral PowerPoint presentation to the class (7 minutes talking + 2 minutes for questions) on your topic. Time limits will be strictly enforced.

  3. Oral presentation • PowerPoint • Upload the file before the class • Approximately 6-7 slides (a minute per slide) • Problem introduction • Model development - specific problem • Results • Results • Discussion • Conclusions

  4. Presenter list Tuesday • CROS, CLEMENT • GALL,ELLIOTT • GOLDSTEIN, KAITLIN • JEON, BONGGIL • KAUFMAN, DAVID • STEPHENS, BRENT • WINN, HOGAN • LO, JAMES Thursday • BADER, STEFAN • KONSTANTINIDIS, CHRISTINE • ALDERMAN, LEILA • LATIMER, DOUGLAS • LIANG, VALERIE • PFEIL, HARRIS • REESE, ELIAS & RIGGS, TRAVIS • ROBINSON, JONATHAN & SIMLER, BRYAN

  5. ASCI file ASCI file Energy Modeling SoftwareStructure of energy simulation programs Graphical User Interface (GUI) Solver Interface for input data Interface for result presentation Preprocessor Postprocessor Engine

  6. Energy Modeling Characteristic parameters • Conduction (and accumulation) solution method • finite dif (explicit, implicit), response functions • Time steps • Meteorological data • Radiation and convection models (extern. & intern.) • Windows and shading • Infiltration models • Conduction to the ground • HVAC and control models

  7. ES programs • Large variety • http://www.eere.energy.gov/buildings/tools_directory • DOE2 • eQUEST (DOE2) • BLAST • ESPr • TRNSYS • EnergyPlus (DOE2 & BLAST)

  8. eQUEST (DOE2)US Department of Energy & California utility customers • eQUEST - interface for the DOE-2 solver • DOE-2 - one of the most widely used ES program - recognized as the industry standard • eQUEST very user friendly interface • Good for life-cycle cost and parametric analyses • Not very large capabilities for modeling of different HVAC systems • Many simplified models • Certain limitations related to research application - no capabilities for detailed modeling

  9. ESPrUniversity of Strathclyde - Glasgow, Scotland, UK • Detailed models – Research program • Use finite difference method for conduction • Simulate actual physical systems • Enable integrated performance assessments Includes daylight utilization, natural ventilation, airflow modeling CFD, various HVAC and control models • Detailed model – require highly educated users • Primarily for use with UNIX operating systems

  10. ESPr

  11. TRNSYSSolar Energy Lab - University of Wisconsin • Modular system approach • One of the most flexible tools available • A library of components • Various building models including HVAC • Specialized for renewable energy and emerging technologies • User must provide detailed information about the building and systems • Not free

  12. TRNSYS

  13. EnergyPlusU S Department of Energy • Newest generation building energy simulation program ( BLAST + DOE-2) • Accurate and detailed • Complex modeling capabilities • Large variety of HVAC models • Some integration wit the airflow programs Zonal models and CFD • Detailed model – require highly educated users • Very modest interface • Third party interface – very costly

  14. EnergyPlus

  15. COUPLED PROGRAM Components and Data flow

  16. Example:Night Cooling/Hybrid Ventilation:The IONICA Office Building, Cambridge, UK

  17. Night Cooling/Hybrid Ventilation:The IONICA Office Building, Cambridge, UK

  18. Night Cooling/Hybrid Ventilation:The IONICA Office Building, Cambridge, UK

  19. Accuracy of Your Energy Simulation • Depends primarily on your input data! • Geometry • Boundary condition • Selected models • Set points • Control • Internal loads and schedule

  20. but Simulation Software Garbage IN Garbage OUT Use it wisely! Building Modeling Software Very powerful tool

  21. 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.