Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak

被引:225
作者
Ma, Minda [1 ]
Ma, Xin [2 ]
Cai, Wei [3 ,4 ]
Cai, Weiguang [5 ,6 ]
机构
[1] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Sci, Mianyang 621010, Sichuan, Peoples R China
[3] Southwest Univ, Coll Engn & Technol, Chongqing 400715, Peoples R China
[4] Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
[5] Chongqing Univ, Sch Management Sci & Real Estate, Int Res Ctr Sustainable Built Environm, Bldg Energy Big Data Grp, Chongqing 400045, Peoples R China
[6] Lawrence Berkeley Natl Lab, Energy Technol Area, Energy Anal & Environm Impacts Div, Berkeley, CA 94720 USA
基金
国家重点研发计划;
关键词
Residential building; Carbon mitigation; Energy and emission peaks; Dynamic scenario analysis; Emission mitigation strategy; ENERGY-EFFICIENCY; CO2; EMISSIONS; DIOXIDE EMISSIONS; ECONOMIC-GROWTH; DECOMPOSITION; REDUCTION; LEVEL; MODEL; INDUSTRY; ACHIEVE;
D O I
10.1016/j.apenergy.2020.115247
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Fast-growing carbon emissions from the residential building sector are a hindrance for China to achieve its 2030 emission peak goal. To identify future low carbon roadmaps of residential buildings, this study is the first to assess the historical carbon mitigation and simulate the energy and emission peaks of China's residential building sector using a dynamic emission scenario. It shows that the emission mitigation of the residential building sector during 2000-2015 is 1.817 (+/- 0.643) billion tons of carbon dioxide (BtCO(2)), and the normal distribution-based scenario simulation demonstrates that the residential building sector will achieve its carbon emission peak in 2037 (+/- 4) with a peak value of 1.419 (+/- 0.081) BtCO(2). The sensitivity analysis reveals that the impacts of floor space per capita and energy intensity of urban residential buildings are the most significant for the uncertainty of emission peaks. A strict energy demand benchmark of the residential building sector suggests a control at 0.661 billion tons of standard coal equivalent (Btce), and its peaking time is estimated for 2035, which is 5 years ahead of the business-as-usual scenario, with energy savings of 0.042 Btce. For the earliest peaking time, if the residential building sector aims to achieve its emission peak before 2030, the emission peak should be controlled at 1.258 BtCO(2). Overall, this paper can assist the government in more accurate and feasible building emission mitigation strategies. Moreover, the results provide a more powerful decision-making reference in issuing targeted and feasible strategies for future residential building emission mitigation.
引用
收藏
页数:14
相关论文
共 63 条
[1]   LMDI decomposition approach: A guide for implementation [J].
Ang, B. W. .
ENERGY POLICY, 2015, 86 :233-238
[2]   Role of financial mechanisms for accelerating the rate of water and energy efficiency retrofits in Australian public buildings: Hybrid Bayesian Network and System Dynamics modelling approach [J].
Bertone, Edoardo ;
Sahin, Oz ;
Stewart, Rodney A. ;
Zou, Patrick X. W. ;
Alam, Morshed ;
Hampson, Keith ;
Blair, Evan .
APPLIED ENERGY, 2018, 210 :409-419
[3]  
CABEE, 2018, CHIN BUILD EN REP 20
[4]  
CABEE (China Association of Building Energy Efficiency), 2019, CHIN BUILD EN REP 20
[5]   Task-Oriented Energy Benchmark of Machining Systems for Energy-Efficient Production [J].
Cai, Wei ;
Li, Li ;
Jia, Shun ;
Liu, Conghu ;
Xie, Jun ;
Hu, Luoke .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2020, 7 (01) :205-218
[6]   Analysis on the carbon emission peaks of China's industrial, building, transport, and agricultural sectors [J].
Chen, Xi ;
Shuai, Chenyang ;
Wu, Ya ;
Zhang, Yu .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 709
[7]   How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels [J].
Dong, Kangyin ;
Dong, Xiucheng ;
Jiang, Qingzhe .
WORLD ECONOMY, 2020, 43 (06) :1665-1698
[8]   Determinants of the global and regional CO2 emissions: What causes what and where? [J].
Dong, Kangyin ;
Dong, Xiucheng ;
Dong, Cong .
APPLIED ECONOMICS, 2019, 51 (46) :5031-5044
[9]   Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries [J].
Dong, Kangyin ;
Sun, Renjin ;
Li, Hui ;
Liao, Hua .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 94 :419-429
[10]  
EIA, 2015, RES EN CONS SURV REC