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Structural optimization for industrial sectors to achieve the targets of energy intensity mitigation in the urban cluster of the Pearl River Delta
- Source :
- Ecological Indicators. 95:673-686
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- An integrated approach was developed through incorporating a copula-based violation risk analysis into a programming model for optimizing industrial structures of urban clusters in uncertain conditions. Also, this approach can be used to support decision making about promoting advanced manufacturing sectors (AMSs) and mitigating industrial energy intensity. The advantages and the improvements of this approach lie in (a) reflecting the relationships between energy consumption and economic benefits in industrial sectors, and (b) incorporating the violation risk of the targets in energy-intensity mitigation into an optimizing model. A case study was conducted to illustrate the application of this approach in the Pearl River Delta of China, a highly urbanized area that includes the cities of Guangzhou, Shenzhen, Zhuhai, Dongguan, Huizhou, Zhaoqing, Foshan, and Jiangmen. The results indicated that under the desired industrial structures, violation risk of energy-intensity mitigation in the urban cluster of the Pearl River Delta would be indistinctive in the single-city perspective. Also, except Dongguan, Jiangmen and Zhaoqing, the cities of the urban cluster would achieve the goal for developing AMSs, based on the Industrial Plans for the 13th Five Year.
- Subjects :
- Pearl river delta
Ecology
business.industry
020209 energy
Environmental resource management
General Decision Sciences
02 engineering and technology
Energy consumption
010501 environmental sciences
Integrated approach
01 natural sciences
Economic benefits
Energy intensity
0202 electrical engineering, electronic engineering, information engineering
Cluster (physics)
Environmental science
Advanced manufacturing
business
China
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 1470160X
- Volume :
- 95
- Database :
- OpenAIRE
- Journal :
- Ecological Indicators
- Accession number :
- edsair.doi...........da95fd6625ea92b4bc55411d64bf873d