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Advancing and demonstrating the Impact Indices method to screen the sensitivity of building energy use to occupant behaviour

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Building Simulation 2023年第7期16卷 1257-1272页

作者： Juan Mahecha Zambrano Isabella Gaetani Ulrich Filippi Oberegger Graziano Salvalai Zurich University of Applied Sciences Centre for Building Technologies and Processes8400 WinterthurSwitzerland Politecnico di Milano Department of ArchitectureBuilt Environment and Construction Engineering20133 MilanItaly Arup Smart BuildingsLondonW1T 4BQUK European Academy of Bolzano/Bozen Institute for Renewable Energy39100 Bolzano/BozenItaly

A critical gap between the occupant behaviour research field and the building engineering practice limits the integration of occupant-centric strategies into simulation-aided building design and *** this gap would contribute to the implementation of strategies that improve the occupants’well-being while reducing the buildings’environmental *** this view,it is urgent to develop guidelines,standardised methods,and supporting tools that facilitate the integration of advanced occupant behaviour models into the simulation *** important step that needs to be fully integrated into the simulation workflow is the identification of influential and non-influential occupant behaviour aspects for a given simulation ***,this article advances and demonstrates the application of the Impact Indices method,a fast and efficient method for screening the potential impact of occupant behaviour on the heating and cooling ***,the method now allows the calculation of Impact Indices quantifying the sensitivity of building energy use to occupancy,lighting use,plug-load appliances use,and blind operation at any spatial and temporal ***,users can apply it in more detailed heating and cooling scenarios without losing ***,they can identify which components in building design and operation require more sophisticated occupant behaviour *** office building is used as a real case study to illustrate the application of the method and asses its performance against a one-factor-at-a-time sensitivity *** Impact Indices method indicates that occupancy,lighting use and plug-load appliances have the greatest impact on the annual cooling demand of the studied office building;blind operation is influential only in the west and south façades of the ***,potential applications of the method in building design and operation practice are discussed.

关键词： occupant behaviour building simulation occupant-centric building design building performance

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Modelling occupant behaviour for urban scale simulation:Review of available approaches and tools

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Building Simulation 2023年第2期16卷 169-184页

作者： Aya Doma Mohamed Ouf Department of Building Civiland Environmental EngineeringConcordia UniversityMontrealQuebecCanada

Urban building energy modelling(UBEM)is considered one of the high-performance computational tools that enable analyzing energy use and the corresponding emission of different building sectors at large ***,the efficiency of these models relies on their capability to estimate more realistic building performance indicators at different temporal and spatial *** uncertainty of modelling occupants'behaviours(OB)aspects is one of the main reasons for the discrepancy between the UBEM predicted results and the building's actual *** a result,research efforts focused on improving the approaches to model OB at an urban scale considering different diversity *** the other hand,the impact of occupants in the current practice is still considered through fixed schedules and behaviours *** bridge the gap between academic efforts and practice,the applicability of OB models to be integrated into the available UBEM tools needs to be *** this end,this paper aims to investigate the flexibility and extensibility of existing UBEM tools to model OB with different approaches by(1)reviewing UBEM's current workflow and the main characteristics of its inputs,(2)reviewing the existing OB models and identifying their main characteristics and level of details that can contribute to UBEM accuracy,(3)providing a breakdown of the occupant-related features in the commonly used *** results of this investigation are relevant to researchers and tool developers to identify areas for improvements,as well as urban energy modellers to understand the different approaches to model OB in available tools.

关键词： UBEM UBEM tools occupant behaviour level of details

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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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A hybrid agent⁃based machine learning method for human⁃centred energy consumption prediction

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建筑节能（中英文） 2023年第3期51卷 41-41页

作者： Qingyao Qiao Akilu Yunusa-Kaltungo Article 112797

occupant behaviour has significant impacts on the performance of machine learning algorithms when predicting building energy *** to a variety of reasons(e.g.,underperforming building energy management systems or restrictions due to privacy policies),the availability of occupational data has long been an obstacle that hinders the performance of machine learning algorithms in predicting building energy ***,this study proposed an agent⁃based machine learning model whereby agent⁃based modelling was employed to generate simulated occupational data as input features for machine learning algorithms for building energy consumption *** feature selection was also introduced in this study to select all relevant *** results indicated that the performances of machine learning algorithms in predicting building energy consumption were significantly improved when using simulated occupational data,with even greater improvements after conducting Boruta feature selection.

关键词： Building energy consumption Prediction Machine learning Agent⁃based modelling occupant behaviour

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