The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building
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- 作者：Salvatore Carluccia ; salvatore.carlucci@ntnu.no" class="auth_mail" title="E-mail the corresponding author ; Gabriele Lobaccarob ; Yong Lic ; Elena Catto Lucchinoa ; Roberta Ramacib
- 关键词：ASHRAE ; American Society of Heating ; Refrigerating and Air-Conditioning ; CO2 ; carbon dioxide ; CV(RMSE) ; coefficient of variation of the root mean square error ; df ; Degree of freedom ; EBC ; Energy in Buildings and Communities ; EIA ; Energy International Administration ; HSCW ; hot summer and cold winter ; HVAC ; heating ventilation and air conditioning ; IEA ; International Energy Agency ; IWEC ; International Weather for Energy Calculations ; MBE ; mean bias error ; Md ; median ; Mtce ; million tons of coal equ
- 刊名：Energy & Buildings
- 出版年：2016
- 出版时间：1 September 2016
- 年：2016
- 卷：127
- 期：Complete
- 页码：279-300
- 全文大小：3874 K
文摘
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The study has its origins in the Sustainable Energy in Cities summer school held in Shanghai, China, in July 2015.
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It statistically explores the effect of temporal and spatial randomness of stochastically generated occupancy schedules on a building’s energy performance.
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It adopts a scalarized single-objective optimization to minimize heating and cooling energy needs.
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It presents a quality assurance procedure for numerical models of buildings that cannot be calibrated using measured data.
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Modeling of high-performance buildings requires a (spatially) detailed and (timely) precise description of occupancy and occupant-dependent input variables.