Integrated framework for space-and energy-efficient retrofitting in multifunctional buildings:A synergy of agent-based modeling and performance-based modeling  

作　　者：Yuchi Shen Xinyi Hu Xiaotong Wang Mengting Zhang Lirui Deng Wei Wang 

机构地区：[1]School of Architecture,Southeast University,Nanjing,Jiangsu Province,210096,China [2]Department of Electrical Engineering and Automation,Aalto University,02150,Espoo,Finland [3]Faculty of Innovation and Design,City University of Macao,Macao,China [4]Key Laboratory of Urban and Architectural Heritage Conservation(Southeast University),Ministry of Education,Nanjing,China

出　　处：《Building Simulation》2024年第9期1579-1600,共22页建筑模拟（英文）

基　　金：sponsored by the National Science and Foundation of China(No.52208011);the Natural Science and Foundation of China(NSFC No.52208010);the China Postdoctoral Science Foundation(No.2022M720716).

摘　　要：This research investigates retrofitting strategies for multifunctional spaces within educational buildings,employing agent-based and performance-based modeling to support decision-making.An experimental matrix was developed,reflecting three usage scenarios(reading,exhibition,lecture)across four retrofitting schemes.An agent-based model was developed to delineate intricate human behaviors in space and examined the self-organizing behaviors of 30 agents for each scheme in every scenario,evaluating six metrics on spatial efficiency and visual experience.Calibrated models,derived from real data and processed through DesignBuilder software,evaluated three metrics:energy use,thermal comfort,and visual comfort.The research then incorporated metrics from the agent-based model and performance simulation to develop a method for discussing the decision-making process in retrofit strategies.The findings indicate that the optimal retrofitting solution for multifunctional spaces is heavily influenced by the distribution of usage scenarios.Given the substantial influence of space metrics on selecting the optimal retrofit scheme,the proposed framework effectively facilitates decision-making for building retrofits by providing a holistic evaluation of both spatial and energy criteria.

关 键 词：building retrofit agent-based model human behavior simulation measurement of space performance simulation 

分 类 号：TU201.5[建筑科学—建筑设计及理论]