Economic-energy-industrial-environmental optimization (EEIEO) model for identification of optimal strategies - a case study of Beijing-Tianjin-Hebei region, China

被引:1
作者
Chen, C. [1 ,2 ,3 ]
Long, H. L. [1 ]
Wan, J. [3 ]
Jia, J. L. [3 ]
Li, X. [3 ]
Chu, C. J. [3 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China
[3] China Acad Environm Planning, Beijing 100012, Peoples R China
来源
2016 INTERNATIONAL CONFERENCE ON NEW ENERGY AND FUTURE ENERGY SYSTEM (NEFES 2016) | 2016年 / 40卷
关键词
EMISSIONS;
D O I
10.1088/1755-1315/40/1/012005
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
An economic-energy-industrial-environmental optimization (EEIEO) model is proposed for identification of optimal economic, industry, energy and environment strategies. The EEIEO model is applied to a real case of Beijing-Tianjin-Hebei (BTH) region, which is the important economic growth pole of northern China. The EEIEO model could fully consider the interaction between industrial, energy, urbanization and environment sector, and generate the optimized economic development, industrial restructuring, energy consumption and environment management schemes. This is first attempt to introduce economic, energy, industrial, urbanization and environmental sectors into an optimization framework, while sustainable energy and environment development pathways are explored through EEIEO model. The results suggest that: (i) the GDP of BTH region would increase about 73.80% over the planning horizon; (ii) the contribution of tertiary industry for BTH region's economic development would gradually increase from 54.00% in 2015 to 65.00% in 2030; (iii) the consumption of coal would decrease by 36%, and the natural gas would obviously increase by 97.70% over the planning horizon; and (iv) the SO2, smoke and dust emissions and CO2 would reduce by 30.20%, 35.30% and 4.50% from 2015 to 2030, respectively.
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页数:17
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