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Integrated energy performance modeling for a retail store building
This paper presents an integrated energy performance modeling approach that considers heat and mass transfer through building envelope, HVAC (heating, ventilation, and air conditioning) and refrigeration systems of a retail store building with limited measured data. The internal heat gains/losses we...
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Published in: | Building simulation 2013-09, Vol.6 (3), p.283-295 |
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container_end_page | 295 |
container_issue | 3 |
container_start_page | 283 |
container_title | Building simulation |
container_volume | 6 |
creator | Dong, Bing Gorbounov, Mikhail Yuan, Shui Wu, Tiejun Srivastav, Abhishek Bailey, Trevor O’Neill, Zheng |
description | This paper presents an integrated energy performance modeling approach that considers heat and mass transfer through building envelope, HVAC (heating, ventilation, and air conditioning) and refrigeration systems of a retail store building with limited measured data. The internal heat gains/losses were estimated based on an Extended Kalman Filter. The simulation coupling strategy among room top units (RTUs), refrigeration display cases and zones is based on the ping-pong coupling strategy. The integrated model was validated against measured data from June to August, 2011. The results show that temperature prediction is within the ±1.5°C error band and the RTU electricity energy use prediction is within the ±10% error band. The difference between measured and simulated annual electricity consumption from the refrigeration system is 3%. Based on further analysis and diagnostics, deviations of model predictions from measured data were found to be partially due to the faults in the RTUs. Such deviation accounts for a 4% saving of the total building electrical energy consumption. |
doi_str_mv | 10.1007/s12273-013-0109-8 |
format | article |
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The internal heat gains/losses were estimated based on an Extended Kalman Filter. The simulation coupling strategy among room top units (RTUs), refrigeration display cases and zones is based on the ping-pong coupling strategy. The integrated model was validated against measured data from June to August, 2011. The results show that temperature prediction is within the ±1.5°C error band and the RTU electricity energy use prediction is within the ±10% error band. The difference between measured and simulated annual electricity consumption from the refrigeration system is 3%. Based on further analysis and diagnostics, deviations of model predictions from measured data were found to be partially due to the faults in the RTUs. Such deviation accounts for a 4% saving of the total building electrical energy consumption.</description><identifier>ISSN: 1996-3599</identifier><identifier>EISSN: 1996-8744</identifier><identifier>DOI: 10.1007/s12273-013-0109-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air conditioning ; Atmospheric Protection/Air Quality Control/Air Pollution ; Building Construction and Design ; Building envelopes ; Computer simulation ; Coupling ; Electricity consumption ; Energy conservation ; Energy consumption ; Engineering ; Engineering Thermodynamics ; Error analysis ; Extended Kalman filter ; Heat and Mass Transfer ; Heat transfer ; Mass transfer ; Modelling ; Monitoring/Environmental Analysis ; Refrigeration ; Research Article ; Retail stores</subject><ispartof>Building simulation, 2013-09, Vol.6 (3), p.283-295</ispartof><rights>Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2013</rights><rights>Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2013.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-623f92576613ae44b2b8c9eea9dc528e89aeae87d332b723453a9a594fb995b53</citedby><cites>FETCH-LOGICAL-c316t-623f92576613ae44b2b8c9eea9dc528e89aeae87d332b723453a9a594fb995b53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dong, Bing</creatorcontrib><creatorcontrib>Gorbounov, Mikhail</creatorcontrib><creatorcontrib>Yuan, Shui</creatorcontrib><creatorcontrib>Wu, Tiejun</creatorcontrib><creatorcontrib>Srivastav, Abhishek</creatorcontrib><creatorcontrib>Bailey, Trevor</creatorcontrib><creatorcontrib>O’Neill, Zheng</creatorcontrib><title>Integrated energy performance modeling for a retail store building</title><title>Building simulation</title><addtitle>Build. Simul</addtitle><description>This paper presents an integrated energy performance modeling approach that considers heat and mass transfer through building envelope, HVAC (heating, ventilation, and air conditioning) and refrigeration systems of a retail store building with limited measured data. The internal heat gains/losses were estimated based on an Extended Kalman Filter. The simulation coupling strategy among room top units (RTUs), refrigeration display cases and zones is based on the ping-pong coupling strategy. The integrated model was validated against measured data from June to August, 2011. The results show that temperature prediction is within the ±1.5°C error band and the RTU electricity energy use prediction is within the ±10% error band. The difference between measured and simulated annual electricity consumption from the refrigeration system is 3%. Based on further analysis and diagnostics, deviations of model predictions from measured data were found to be partially due to the faults in the RTUs. 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Simul</stitle><date>2013-09-01</date><risdate>2013</risdate><volume>6</volume><issue>3</issue><spage>283</spage><epage>295</epage><pages>283-295</pages><issn>1996-3599</issn><eissn>1996-8744</eissn><abstract>This paper presents an integrated energy performance modeling approach that considers heat and mass transfer through building envelope, HVAC (heating, ventilation, and air conditioning) and refrigeration systems of a retail store building with limited measured data. The internal heat gains/losses were estimated based on an Extended Kalman Filter. The simulation coupling strategy among room top units (RTUs), refrigeration display cases and zones is based on the ping-pong coupling strategy. The integrated model was validated against measured data from June to August, 2011. The results show that temperature prediction is within the ±1.5°C error band and the RTU electricity energy use prediction is within the ±10% error band. The difference between measured and simulated annual electricity consumption from the refrigeration system is 3%. Based on further analysis and diagnostics, deviations of model predictions from measured data were found to be partially due to the faults in the RTUs. Such deviation accounts for a 4% saving of the total building electrical energy consumption.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12273-013-0109-8</doi><tpages>13</tpages></addata></record> |
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issn | 1996-3599 1996-8744 |
language | eng |
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source | Springer Nature |
subjects | Air conditioning Atmospheric Protection/Air Quality Control/Air Pollution Building Construction and Design Building envelopes Computer simulation Coupling Electricity consumption Energy conservation Energy consumption Engineering Engineering Thermodynamics Error analysis Extended Kalman filter Heat and Mass Transfer Heat transfer Mass transfer Modelling Monitoring/Environmental Analysis Refrigeration Research Article Retail stores |
title | Integrated energy performance modeling for a retail store building |
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