DocumentCode :
76280
Title :
Simulation and Optimization of One Low-Carbon Poly-Silicon Industry Production Chains Using SD-FCCM in World Natural and Cultural Heritage Areas: A Case Study in China
Author :
Jiuping Xu ; Xingchuan Jing ; Liming Yao
Author_Institution :
Uncertainty Decision-Making Lab., Sichuan Univ., Chengdu, China
Volume :
8
Issue :
4
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1200
Lastpage :
1212
Abstract :
With the increase in global climate disasters, more and more people have become concerned about developing and maintaining a low carbon economy. Poly-silicon, as a representative industry in a low carbon economy, has become the focus of a low carbon economy. However, its production process consumes a great deal of energy, and produces excessive waste and poisonous fluids such as SiCL4. This paper aims to study the poly-silicon industry planning, find the energy hungry and pollution intensive links, and seek solutions to their control and optimization. First, we select and optimize the main factors affecting the planning using a fuzzy chance-constrained model. Then, we simulate and analyze the complete industry chain using system dynamics. Finally, the world natural and cultural heritage area, Leshan has been studied as an example to show how decision making can be improved from the insight that the model provides.
Keywords :
air pollution; elemental semiconductors; energy conservation; fuzzy set theory; production planning; semiconductor industry; silicon; sustainable development; China; SD-FCCM; Si; SiCL4; cultural heritage area; fuzzy chance-constrained model; global climate disasters; low carbon economy; low-carbon poly-silicon industry production chains; poisonous fluids; poly-silicon industry planning; production process; system dynamics; world natural heritage area; Carbon emissions; Economics; Energy consumption; Environmental factors; Fuzzy logic; Photovoltaic cells; Production; Silicon compounds; Social factors; Fuzzy possibility multiobjective programming; SiCL₄; SiCL4; poly-silicon production chains; system dynamics;
fLanguage :
English
Journal_Title :
Systems Journal, IEEE
Publisher :
ieee
ISSN :
1932-8184
Type :
jour
DOI :
10.1109/JSYST.2013.2255757
Filename :
6902801
Link To Document :
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