Building Energy Management Using Building Information Modeling: Evaluation of Building Components and Construction Materials
Creators: name: REZASOROUSH, ABDULAMIR
name: Amani, Nima
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 400501
subject: Architectural engineering
classificationCode: 400504
subject: Construction engineering
classificationCode: 400505
subject: Construction materials
classificationCode: 400808
subject: Photovoltaic power systems
classificationCode: 401102
subject: Environmentally sustainable engineering
classificationCode: 401105
subject: Life cycle assessment and industrial ecology
classificationCode: 401703
subject: Energy generation, conversion and storage (excl. chemical and electrical)
classificationCode: 330101
subject: Architectural computing and visualisation methods
classificationCode: 330102
subject: Architectural design
classificationCode: 330110
subject: Sustainable architecture
classificationCode: 330202
subject: Building construction management and project planning
classificationCode: 330204
subject: Building information modelling and management
classificationCode: 330206
subject: Building science, technologies and systems
classificationCode: 330203
subject: Building industry studies
classificationCode: 330201
subject: Automation and technology in building and construction
classificationCode: 330301
subject: Data visualisation and computational (incl. parametric and generative) design
classificationCode: 330311
subject: Models and simulations of design
classificationCode: 330314
subject: Sustainable design
classificationCode: 330306
subject: Design practice and methods
classificationCode: 330305
subject: Design management

description: Traditionally, the building energy model is created in isolation from the architectural building information model and energy analyses have relied on a single analysis tool. The building energy model can be generated more quickly by leveraging existing data from the BIM. The impacts of energy consumption are significant in the building usage phase, which can last several decades. Due to the large share of the final energy consumption in the building sector, accurate analysis of the thermal and cooling loads of a building and the efforts to reduce energy losses represent an effective way to reduce energy consumption. Therefore, it is essential to analyze the building energy performance in the design phase, which is when critical decisions are made. This study aims to investigate the impact of the building components and construction materials on building energy efficiency using Building Information Modeling (BIM) technology in a mild climate zone. After reviewing the proposed designs, the main building form was chosen for energy modeling and analysis. Then, building energy consumption analysis was performed based on the basic parameters of the building energy model. Eventually, the most optimal mode was selected by examining different energy consumption forms. This study showed that the building HVAC system always had the largest share of energy consumption. Finally, the results of parametric studies on alternative schemes of energy use intensity optimization showed that 22.59% savings could be achieved as compared to the base building model in a 30-year time horizon.