Short-term carbon emission prediction method of green building based on IPAT model

被引:9
作者
Fang, Peng [1 ]
机构
[1] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Hunan, Peoples R China
关键词
IPAT model; green building; short-term carbon emissions; emission factor; mutual information; impact factors;
D O I
10.1504/IJGEI.2023.127664
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to solve the problems of high complexity and low prediction accuracy of green building carbon emission prediction process, this paper proposes a green building short-term carbon emission prediction method based on IPAT model. The IPCC method is used to determine the influencing factors of carbon emission of green buildings, and the classification of influencing factors is completed according to the importance of influencing factors. The IPAT model is established to decompose the carbon emission into the products of different factors, and the model is used to predict the short-term carbon emission of green building construction stage and the whole stage. The experimental results show that the prediction time of this method is always less than 4 s and the prediction accuracy is always higher than 95%, which proves that this method has fast prediction process and high accuracy, and realises the design expectation.
引用
收藏
页码:1 / 13
页数:14
相关论文
共 15 条
[1]   Carbon emission reduction characteristics for China's manufacturing firms: Implications for formulating carbon policies [J].
An, Yunfei ;
Zhou, Dequn ;
Yu, Jian ;
Shi, Xunpeng ;
Wang, Qunwei .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 284 (284)
[2]  
Gu G., 2020, ENERGY, V156, P89
[3]   Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors [J].
Han, Meng ;
Ding, Lili ;
Zhao, Xin ;
Kang, Wanglin .
ENERGY, 2019, 171 :69-76
[4]  
Holmes J.A., 2019, ICARUS, V45, P45
[5]  
Lan Z., 2019, STAT DECISION, V35, P45
[6]   Feasibility assessment of the carbon emissions peak in China's construction industry: Factor decomposition and peak forecast [J].
Li, Bo ;
Han, Shuwan ;
Wang, Yafei ;
Li, Jiayuan ;
Wang, Yong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 706
[7]   National Policies for Global Emission Reductions: Effectiveness of Carbon Emission Reductions in International Supply Chains [J].
Nabernegg, Stefan ;
Bednar-Friedl, Birgit ;
Munoz, Pablo ;
Titz, Michaela ;
Vogel, Johanna .
ECOLOGICAL ECONOMICS, 2019, 158 :146-157
[8]   A review on carbon emission reduction in industries and planning emission limits [J].
Sinha, Rakesh Kumar ;
Chaturvedi, Nitin Dutt .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 114
[9]   Are carbon dioxide emission reductions compatible with sustainable well-being? [J].
Sugiawan, Yogi ;
Kurniawan, Robi ;
Managi, Shunsuke .
APPLIED ENERGY, 2019, 242 :1-11
[10]  
Wang M., 2021, ENVIRON RES, V18, P115