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Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering

building Simulation 2021年第1期14卷 119-130页

作者： Matias Quintana Pandarasamy Arjunan Clayton Miller National University of Singapore SingaporeSingapore Berkeley Education Alliance for Research in Singapore(BEARS) SingaporeSingapore

Many energy performance analysis methodologies assign buildings a descriptive label that represents their main activity,often known as the primary space usage(PSU).This attribute comes from the intent of the design team based on assumptions of how the majority of the spaces in the building will be *** reality,the way a building’s occupants use the spaces can be different than what was *** the recent growth of hourly electricity meter data from the built environment,there is the opportunity to create unsupervised methods to analyze electricity consumption behavior to understand whether the PSU assigned is *** or oversimplification of the use of the building is possible using these labels when applied to simulation inputs or benchmarking *** work towards accurate characterization of a building’s utilization,we propose a modular methodology for identifying potentially mislabeled buildings using distance-based clustering analysis based on hourly electricity consumption *** method seeks to segment buildings according to their daily behavior and predict which ones are misfits according to their assigned PSU *** process finds potentially uncharacteristic behavior that could be an indication of mixed-use or a misclassified *** results on two public data sets,from the building Data Genome(BDG)Project and Washington DC(DGS),with 507 and 322 buildings respectively,show that 26%and 33%of these buildings are potentially mislabelled based on their load shape *** information provides a more realistic insight into their true consumption characteristics,enabling more accurate simulation *** of this process and a discussion of limitations and reproducibility are included.

关键词： uncharasteristic behaviour building energy use building energy benchmarking building performance rating primary-use-type analysis load profile clustering

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Impact of window and air-conditioner operation behaviour on cooling load in high-rise residential buildings

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building Simulation 2022年第11期15卷 1955-1975页

作者： Cong Yu Jia Du Wei Pan Department of Civil Engineering The University of Hong KongPokfulamHong KongChina

Space cooling is an important building energy end-use that was found in recent years to be significantly impacted by occupant ***,the majority of previous studies ignored the interplay between the operation of windows and air conditioners(ACs)on cooling load,particularly in building energy *** addition,studies on the analysis of cooling load characteristics regarding high-rise buildings are *** vertical effect of high-rise buildings on cooling load remains *** study thus aims to examine how window and AC operation behaviours impact the cooling load of high-rise buildings in an urban context demonstrated by a real-life typical 40-floor residential building in Hong *** study investigates window and AC operation behaviours jointly and examines the vertical effect on cooling load by using agent-based building energy modelling(BEM)techniques and initiating stochastic and diverse behaviour modes.A carefully designed questionnaire survey was conducted to help build behaviour modes and validate energy *** building energy models were established integrating meteorological parameters generated by the computational fluid dynamics(CFD)programme for ten typical floors and nine combinations of window and AC behaviour *** results show that comfort-based AC modes and schedule-based window modes yielded the lowest cooling *** the combined effect of AC and window uses,the maximum difference in cooling loads could be 26.8%.Behaviour modes and building height induce up to 32.4%differences in cooling ***,a deviation between the behaviour modes and height on the cooling load was *** findings will help develop a thorough energy model inferring occupants’window and AC behaviour modes along with the building height in high-rise residential *** findings indicate that the interaction impact of window and AC behaviour modes and height should be jointly considered in future high-rise buildin

关键词： occupant behaviour air conditioning natural ventilation high-rise residential building building energy use

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