Stochastic RCM-driven cooling and heating energy demand analysis for residential building

Chuyin Tian, Guohe Huang*, Joseph M. Piwowar, Shin Cheng Yeh, Chen Lu, Ruixin Duan, Jiayan Ren

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Changes associated with global warming are expected to significantly alter existing heating and cooling demands in buildings. In order to develop appropriate adaptation measures in response to these climate changes, policy makers will require reliable and comprehensive assessments of anticipated variations in building energy use. In this study, a stochastic RCM-driven residential energy demand analysis is developed to provide robust support for policy makers to consider various adaptation actions for building energy system. High-resolution climate projections are firstly generated via proposed approach, based on which the heating and cooling energy demand of residential buildings in the province of British Columbia, Canada is analyzed from a comprehensive perspective (i.e., considering optimistic, neutral, and pessimistic levels). The results show that energy-related infrastructure and adaptation policies are likely to face huge challenges in the next 80 years due to a large increase in the energy use demand for space cooling and a relatively slight decrease in that for heating. Under an optimistic level, annual heating energy use is projected to decline 6% while cooling energy use will increase by 23% in 2088–2099. However, under a pessimistic level these changes could surge by 21% and 88%, respectively. The difference in projected energy use between these two levels can be equivalent to 1.30 Mt of CO2e greenhouse gas emissions. The analysis proposed in this study could also be applied in other regions under similar contexts.

原文英語
文章編號111764
期刊Renewable and Sustainable Energy Reviews
153
DOIs
出版狀態已發佈 - 2022 1月

ASJC Scopus subject areas

  • 可再生能源、永續發展與環境

指紋

深入研究「Stochastic RCM-driven cooling and heating energy demand analysis for residential building」主題。共同形成了獨特的指紋。

引用此