Impacts of climate change and building energy efficiency improvement on city-scale building energy consumption

环境科学 能源消耗 暖通空调 建筑围护结构 高效能源利用 温室气体 光伏系统 全球变暖 土木工程 空调 建筑工程 环境工程 气候变化 气象学 工程类 地理 机械工程 生态学 热的 电气工程 生物
作者
Yixing Chen,Zhiyi Ren,Zhiwen Peng,Jingjing Yang,Zhihua Chen,Zhonghua Deng
出处
期刊:Journal of building engineering [Elsevier BV]
卷期号:78: 107646-107646 被引量:2
标识
DOI:10.1016/j.jobe.2023.107646
摘要

Facing global warming, the construction industry, as one of the main sources of carbon emissions, is facing challenges. Assessing the changes in urban building energy consumption and the potential for energy savings is crucial. This paper evaluated the impacts of climate change and building energy conservation measures (ECMs) on the energy consumption of 59,332 urban buildings in Changsha, China. Firstly, the weather files in 2050 and 2080 of Changsha City under the future low-emission scenario are obtained using the Weather Morph. Secondly, the benchmark model for large office buildings was established by OpenStudio-Standards. Then the models of urban buildings in Changsha were created to expand the research scope, including 22 types of buildings using AutoBPS. Finally, four ECMs and rooftop photovoltaic (PV) systems were added according to the energy saving standards, including envelope, heating, ventilation and air conditioning (HVAC) system, lighting, and equipment. The results indicated that the annual total primary source energy use intensity (EUI) of large office buildings in the base year, 2050 and 2080 are 365.93, 372.99, and 374.89 kWh/m2, respectively. And for the urban buildings is 47,862.22, 49,387.34, and 50,043.90 GWh, with an increase of 3.19% and 4.56%, respectively. Taking the base year as an example, when combined with four ECMs and PV systems, the EUI of large office buildings can be reduced to 211.61 kWh/m2, achieving an energy saving rate of 46.67%. And when all four ECMs were applied, the EUI for the urban building model could be reduced by 22,278.56 GWh (46.55%). These results can provide valuable insights for urban energy planning to address future climate change and reduce carbon emissions.
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