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advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

Building Simulation 2021年第1期14卷 3-24页

作者： Cheng Fan Da Yan Fu Xiao Ao Li Jingjing An Xuyuan Kang Sino-Australia Joint Research Center in BIM and Smart Construction College of Civil and Transportation EngineeringShenzhen UniversityShenzhenChina Building Energy Research Center School of ArchitectureTsinghua UniversityBeijingChina Department of Building Services Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Environment and Energy Engineering Beijing University of Civil Engineering and ArchitectureBeijingChina

Buildings have a significant impact on global sustainability.During the past decades,a wide variety of studies have been conducted throughout the building lifecycle for improving the building performance.data-driven approach has been widely adopted owing to less detailed building information required and high computational efficiency for online applications.Recent advances in information technologies and data science have enabled convenient access,storage,and analysis of massive on-site measurements,bringing about a new big-data-driven research paradigm.This paper presents a critical review of data-driven methods,particularly those methods based on larger datasets,for building energy modeling and their practical applications for improving building performances.This paper is organized based on the four essential phases of big-data-driven modeling,i.e.,data preprocessing,model development,knowledge post-processing,and practical applications throughout the building lifecycle.Typical data analysis and application methods have been summarized and compared at each stage,based upon which in-depth discussions and future research directions have been presented.This review demonstrates that the insights obtained from big building data can be extremely helpful for enriching the existing knowledge repository regarding building energy modeling.Furthermore,considering the ever-increasing development of smart buildings and IoT-driven smart cities,the big data-driven research paradigm will become an essential supplement to existing scientific research methods in the building sector.

关键词： advanced data analytics big-data-driven building energy modeling building operational data building performance

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