How does future climatic uncertainty affect multi-objective building energy retrofit decisions? Evidence from residential buildings in subtropical Hong Kong

被引:64
作者
Liu, Sheng [1 ]
Wang, Yuyang [1 ]
Liu, Xiao [2 ,3 ,4 ]
Yang, Linchuan [1 ]
Zhang, Yingzi [1 ]
He, Jingtang [2 ,3 ,4 ,5 ]
机构
[1] Southwest Jiaotong Univ, Sch Architecture, Chengdu, Peoples R China
[2] South China Univ Technol, Sch Architecture, Guangzhou, Peoples R China
[3] South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Peoples R China
[4] South China Univ Technol, Architectural Design & Res Inst Co Ltd, Guangzhou, Peoples R China
[5] Chinese Acad Engn, Beijing, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Future climate change; Building energy retrofit; Multi -objective optimisation; Passive retrofitting measures; Life -cycle analysis; LIFE-CYCLE COST; GENETIC-ALGORITHM; THERMAL COMFORT; ENVELOPE DESIGN; COOLING ENERGY; OPTIMIZATION; PERFORMANCE; CONSUMPTION; IMPACT; ENVIRONMENT;
D O I
10.1016/j.scs.2023.104482
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Energy consumption of and carbon emissions from buildings, which substantially depend on outdoor climate conditions, may be susceptible to future climate change. However, how future climatic uncertainties affect decision-making regarding building energy retrofits is unclear from the life-cycle analysis perspective. This study used typical high-rise public rental housing buildings in subtropical Hong Kong as a case study to consider future climatic uncertainties under representative concentration pathway scenarios and in different general circulation models to estimate their effect on multi-objective building retrofit decisions considering trade-offs among different objectives, namely, life-cycle economics, life-cycle carbon emissions, and operational energy use im-pacts. The results indicate the significant influence of future climatic uncertainties on the optimal values of building energy retrofit measures. The passive house infiltration standard and thick (0.06-0.1 m) polyurethane foam insulation can be recommended for long-term future climatic conditions (RCP8.5-2065s). By contrast, optimal values of glazing materials, horizontal shading projection factors, and window-to-wall ratio are not susceptible to future climatic uncertainties. Uncertainties from different general circulation models are another notable factor affecting optimal values and retrofit options. This study reveals the importance of considering future climatic uncertainties when deciding optimal values and selecting building energy retrofit options.
引用
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页数:18
相关论文
共 93 条
[1]   The BIM-Based multi-optimization approach in order to determine the trade-off between embodied and operation energy focused on renewable energy use [J].
Abbasi, Saman ;
Noorzai, Esmatullah .
JOURNAL OF CLEANER PRODUCTION, 2021, 281
[2]   A critical review of energy retrofitting trends in residential buildings with particular focus on the GCC countries [J].
Ahmed, Wahhaj ;
Asif, Muhammad .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 144
[3]   Achieving Net Zero-Energy Buildings through Retrofitting Existing Residential Buildings Using PV Panels [J].
Albadry, Somaya ;
Tarabieh, Khaled ;
Sewilam, Hani .
INTERNATIONAL CONFERENCE - ALTERNATIVE AND RENEWABLE ENERGY QUEST (AREQ 2017), 2017, 115 :195-204
[4]   Acoustic retrofit strategies of windows in facades of residential buildings: Requirements and recommendations to reduce exposure to environmental noise [J].
Alonso, Alicia ;
Suarez, Rafael ;
Patricio, Jorge ;
Escandon, Rocio ;
Sendra, Juan J. .
JOURNAL OF BUILDING ENGINEERING, 2021, 41
[5]   Acoustical retrofit of existing residential buildings: Requirements and recommendations for sound insulation between dwellings in Europe and other countries worldwide [J].
Alonso, Alicia ;
Patricio, Jorge ;
Suarez, Rafael ;
Escandon, Rocio .
BUILDING AND ENVIRONMENT, 2020, 174
[6]   Climatic influence on electricity consumption: The case of Singapore and Hong Kong [J].
Ang, B. W. ;
Wang, H. ;
Ma, Xiaojing .
ENERGY, 2017, 127 :534-543
[7]  
[Anonymous], 2008, Energy Technology Perspectives 2008
[8]  
[Anonymous], 2018, The Hong Kong Housing Authority Public Housing Portfolio
[9]   Smart readiness indicator evaluation and cost estimation of smart retrofitting scenarios-A comparative case-study in European residential buildings [J].
Apostolopoulos, Vasilis ;
Giourka, Paraskevi ;
Martinopoulos, Georgios ;
Angelakoglou, Komninos ;
Kourtzanidis, Konstantinos ;
Nikolopoulos, Nikolaos .
SUSTAINABLE CITIES AND SOCIETY, 2022, 82
[10]   Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality [J].
Ascione, Fabrizio ;
Bianco, Nicola ;
De Stasio, Claudio ;
Mauro, Gerardo Maria ;
Vanoli, Giuseppe Peter .
APPLIED ENERGY, 2016, 174 :37-68