Improving the performance of a whole-building energy modeling tool by using post-occupancy measured data

Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association

Volumn , Issue , 2013, Pages 1683-1689

  Salehi, M Mahdi ^a   Cavka, Belgin Terim ^a   Fedoruk, Laura ^a   Frisque, Andrea ^b   Whitehead, Derek ^c   Bushe, W Kendal ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Krieger SRM   (Canada)

^c Ty Bob Consulting   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONSULTING COMPANIES; DESIGN MODELING; ENERGY MODEL; ENERGY PERFORMANCE; INPUT PARAMETER;

CIRCUIT SIMULATION; SOFTWARE ENGINEERING;

COLLEGE BUILDINGS;

EID: 84886665783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Ahmad, M. and Culp, C. H. 2006. Uncalibrated building energy simulation modeling results. HVAC&R Research, 12(4):1141-1155.
2. Bhandari, M., Shrestha, S., and New, J. 2012. Evaluation of weather datasets for building energy simulation. Energy and Buildings, 49(0):109 - 118.
3. Binks, J. 2011. Closing the loop. office tower simulation assumptions vs. reality. In 12th Conference of International Building Performance Simulation Association, Sydney.
4. Calderone, A. 2011. Simulation versus reality - 4 case studies. In 12th Conference of International Building Performance Simulation Association, Sydney.
5. CIRS. Center for interactive research on sustainability. Technical report, University of British Columbia, www.cirs.ubc.ca/building/building- manual.
6. Crawley, D. B., Hand, J. W., Kummert, M., and Griffith, B. T. 2008. Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4):661 - 673.
7. Dodier, R. H., Henze, G. P., Tiller, D. K., and Guo, X. 2006. Building occupancy detection through sensor belief networks. Energy and Buildings, 38(9):1033- 1043.
8. Gram-Hanssen, K., Christensen, T. H., and Petersen, P. E. 2012. Air-to-air heat pumps in real-life use: Are potential savings achieved or are they transformed into increased comfort? Energy and Buildings, 53(0):64-73.
9. Grinzato, E., Vavilov, V., and Kauppinen, T. 1998. Quantitative infrared thermo graphy in buildings. Energy and Buildings, 29(1):1-9. WOS:000077018200001.
10. Heo, Y., Choudhary, R., and Augenbroe, G. 2012. Calibration of building energy models for retrofit analysis under uncertainty. Energy and Buildings, 47:550-560.
11. Kony, J. and Kossecka, E. 2002. Multi-dimensional heat transfer through complex building envelope assemblies in hourly energy simulation programs. Energy and Buildings, 34(5):445-454.
12. Li, N., Calis, G., and Becerik-Gerber, B. 2012. Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations. Automation in Construction, 24(0):89-99.
13. MNECB 2011. Model National Energy Code of Canada for Buildings.
14. Murray, S. N., Rocher, B., and O'Sullivan, D. 2012. Static simulation: A sufficient modelling technique for retrofit analysis. Energy and Buildings, 47:113- 121.
15. No, S.-T., Kim, K.-S., and Jung, J.-S. 2008. Simulation and mock-up tests of the thermal performance of curtain walls. Energy and Buildings, 40(7):1135- 1144.
16. Reddy, T. A. 2006. Literature review on calibration of building energy simulation programs: Uses, problems, procedures, uncertainty, and tools. ASHRAE Transactions, 112(1):226-240.
17. Shrestha, S. and Maxwell, G. 2011. Empirical validation of building energy simulation software: Energyplus. In 12th Conference of International Building Performance Simulation Association, Sydney.
18. Sun, J. and Reddy, T. A. 2006. Calibration of building energy simulation programs using the analytic optimization approach (RP-1051). HVAC&R Research, 12(1):177-196.
19. THERM 6.3 and WINDOW 6. Lawrence Berkeley National Laboratory, Windows & Day lighting Group Software.
20. UNEP 2009. Building and climate change, summary for decision-makers. Technical report, United Nations Environment Programe.
21. Van Dessel, S. and Foubert, B. 2010. Active thermal insulators: Finite elements modeling and parametric study of thermoelectric modules integrated into a double pane glazing system. Energy and Buildings, 42(7):1156-1164.
22. Virote, J. and Neves-Silva, R. 2012. Stochastic models for building energy prediction based on occupant behavior assessment. Energy and Buildings, 53:183-193.
23. Virtual Environment 2012. version 6.4.0.11. Integrated Environment Solutions Ltd., Glasgow, UK.
24. Wang, L., Mathew, P., and Pang, X. 2012. Uncertainties in energy consumption introduced by building operations and weather for a medium-size office building. Energy and Buildings, 53:152-158.
25. WBCSD 2009. Energy efficiency in buildings transforming the market. Technical report, World Business Council for Sustainable Development.
26. Yoon, J., Lee, E. J., and Claridge, D. E. 2003. Calibration procedure for energy performance simulation of a commercial building. Journal of Solar Energy Engineering, 125(3):251-257.