Work

A dynamic simulation model for building cooling and heating energy considering climate-building system-occupant interactions

Year: 2024

Type: article

Abstract: Residential buildings have a significant potential for energy conservation. The building energy consumption process is a complex system influenced by several factors at climate, building system, and occupant levels. This study developed a model based on a multi-agent system to systematically combine these factors, simulate their interactions, and estimate the consequent cooling and heating energy. The automatic dynamic energy simulation was conducted considering four temporal factors (i.e., outdoor temperature, heat transfer coefficient of the building envelope, household type, and behavior pattern of occupants) over 30 years. The dynamic energy results were compared with the static results and showed significant differences. In this study, building energy consumption was simulated from the perspective of multifactor interactions, and the effects of different factors on energy consumption were quantified. These results can guide improvement in building energy performance. In addition, this study provides a rapid and automatic dynamic energy simulation approach.

Source: Case Studies in Thermal Engineering

DOI: 10.1016/j.csite.2024.105145

Authors: Shu Su, Guozhi Li, Yujie Ding, Ao Sun, Ming Xu

Institutions: Ministry of Education of the People's Republic of China, Southeast University, Changzhou Architectural Research Institute Group (China)

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,210