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Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach

机译:在中国炎热的夏季和寒冷冬季气候区识别家庭冷却储蓄潜力:随机需求前沿方法

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Cooling demand increases more than ten times over the past two decades in China. Especially, cooling in the Hot Summer and Cold Winter (HSCW) climate zone increases rapidly and becomes the fastest growing part in urban residential energy consumption. It will bring huge challenges to carbon emission cap control if effective and reasonable energy-saving and emission reduction measures are not taken. This study uses a data-driven method to identify cooling savings potential at household level using survey data from 1068 households in 2018 in Chongqing, China. A stochastic frontier analysis model is applied to decompose the actual cooling electricity consumption into minimum consumption based on fixed household characteristics and estimate the over-consumption (i.e. the amount of cooling consumption that could be saved). The results show that households have an average cooling efficiency of 65 %, which indicates that each household in the HSCW area has the potential to reduce its cooling electricity consumption by 35% while still maintaining the same level of cooling services currently produced. The study shows that the cooling savings potential is strongly influenced by level of household income, the level of building energy efficiency standards, cooling behavior characteristics and households' energy-saving consciousness. Policy implications are derived. (c) 2021 Elsevier Ltd. All rights reserved.
机译:在中国过去二十年中,冷却需求增加了十多次。特别是,在炎热的夏季和寒冷的冬季(HSCW)气候区的冷却迅速增加,成为城市住宅能源消耗中最快的成长部分。如果没有采取有效合理的节能和减排措施,它将带来巨大的挑战对碳排放盖控制。本研究采用数据驱动方法使用2018年重庆市1068户家庭的户型水平降温储蓄潜力。应用随机边界分析模型,以基于固定家庭特征将实际冷却电力分解为最小消耗,并估计过量消耗(即可以保存的冷却消耗量)。结果表明,家庭的平均冷却效率为65%,这表明HSCW区域的每个家庭都有可能将其冷却电力消耗降低35%,同时仍保持目前生产的相同水平的冷却服务。该研究表明,冷却储蓄潜力受家庭收入水平,建筑能源效率标准,冷却行为特征和家庭节能意识的程度受到强烈影响。派生政策影响。 (c)2021 elestvier有限公司保留所有权利。

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