2015
DOI: 10.1016/j.proeng.2015.09.028
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Simulation and Analysis of a University Library Energy Consumption based on EQUEST

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Cited by 22 publications
(7 citation statements)
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“…[5,6], only a small part of the campus buildings (i.e., the library) is considered, and there are no experimental comparisons. Song et al [7] summarized the impact on the power consumption of buildings based on different variables, including the lighting power density, indoor personnel density, summer indoor design temperature, and summer air supply temperature, to be simulated by appropriate software. Unfortunately, only the effects of four single variables on the power consumption are investigated without using multiple variable simulation to explore the influence of matches among the variables on building electricity consumption.…”
Section: Literature Reviewmentioning
confidence: 99%
“…[5,6], only a small part of the campus buildings (i.e., the library) is considered, and there are no experimental comparisons. Song et al [7] summarized the impact on the power consumption of buildings based on different variables, including the lighting power density, indoor personnel density, summer indoor design temperature, and summer air supply temperature, to be simulated by appropriate software. Unfortunately, only the effects of four single variables on the power consumption are investigated without using multiple variable simulation to explore the influence of matches among the variables on building electricity consumption.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The driving program of eQUEST was developed by Lawrence Berkeley National Laboratory (LBNL)and James J. Hirsch & Associates (JJH) under the financial support of US Department of Energy and Power Research Institute. The eQUEST software is a popular tool for energy simulation and dynamic analyses due to its user friendliness (Song et al, 2015). Electricity systems  lack of energy management system and real time data  lack of energy recover system for elevators  install energy management system and intelligent ammeter  install energy recover system for elevators Indoor air quality  aging make-up air units  carbon dioxide level too high  fix make-up air units  introduce natural air conditioning…”
Section: Simulation Tool: Equestmentioning
confidence: 99%
“…Building energy research and design of building energy savings and reconstruction is a long and hard process that requires a continued and more delicate and in-depth research [7]. A framework was developed for approaching the minimum cumulative root mean square error (C V RMSE) to achieve a more reliable baseline mode.…”
Section: Introductionmentioning
confidence: 99%