Building Energy Management Using Building Information Modeling: Evaluation of Building Components and Construction Materials

• Published in: Journal of renewable energy and environment Vol. 8; no. 2; pp. 31 - 38
• Main Authors: Nima Amani, Abdul Amir Reza Soroush
• Format: Journal Article
• Language: English
• Published: Materials and Energy Research Center (MERC) 01.04.2021
• Subjects: building energy efficiency; building information modeling (bim); energy performance assessment (epa); mild climate; software simulation
• ISSN: 2423-5547; 2423-7469
• DOI: 10.30501/jree.2020.236391.1120

Traditionally, 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 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