Optimal building retrofit pathways considering residential energy use variability: A case study of Nanjing city

被引:7
作者
Wang, Peng [1 ,2 ]
Lu, Zhiying [1 ]
Jia, Ling [1 ]
Yang, Yuting [1 ]
Huang, Lei [2 ]
机构
[1] Jiangsu Univ, Fac Civil Engn & Mech, Zhenjiang 212013, Peoples R China
[2] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Building energy consumption; Physical retrofit; Behavior optimization; Large-scale; OCCUPANT BEHAVIOR; TECHNOLOGIES; CONSERVATION; PERFORMANCE; RETHINKING; SYSTEMS; SAVINGS; IMPACT;
D O I
10.1016/j.enbuild.2023.113713
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The variation in energy usage patterns among occupants elucidates the disparity between projected and realized energy consumption following physical retrofitting, and serves as a significant determinant in the context of extensive building retrofit initiatives. This study involves the establishment of four representative building models in regions characterized by hot summers and cold winters. The study examines the diverse energy consumption patterns exhibited by occupants, and subsequently explores the potential strategies for implementing large-scale energy-efficient renovations in the hot summer and cold winter zones. The findings indicate that there is a prevalent occurrence of excessive energy consumption. Moreover, the energy usage patterns exhibited by occupants have a substantial influence on the overall energy consumption of buildings. The implementation of graded and progressive stepped-step electricity pricing should be prioritized during both summer and winter seasons. This entails appropriately increasing the price of stepped-step power tariffs and reducing the proportion of residents who consume excessive energy. Undoubtedly, the most successful largescale retrofit scheme for hot summer and cold winter areas is the replacement of all air conditioning equipment in the existing residential areas, under the premise of adopting the seasonal progressive incremental ladder energy pricing.
引用
收藏
页数:17
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