Conference proceeding
Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants
PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, VOL 1, v 1001, pp 261-272
01 Jan 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Considering serious environmental pollution caused by phosphogypsum and the scarce of phosphate rock resource, the recycling utilisation of phosphogypsum has significant influence on the sustainable development. To promote the recycling utilisation of phosphogypsum, this paper studies the phosphogypsum reduction in phosphate fertilizer plants based on the stack allowance trading mechanism. According to the detail analysis, an optimization model has been established to describe and resolve the complexity of the phosphogypsum reduction problem. In the optimization process, the uncertain environment and stack allowance trading mechanism have been fully considered. A practical case is given to demonstrates the efficiency of the formulated method. The results indicates that the stack allowances trading mechanism all the phosphate fertilizer plants to make more flexible operation decision, which not only realize the environmental pollution mitigation and PG recycling, but also promote each phosphate fertilizer plant sustainable development.
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1 citations in Scopus
Details
- Title
- Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants
- Creators
- Lurong Fan - Sichuan UniversityGuojiao Chen - Capital University of Economics and BusinessZongmin Li - Sichuan UniversityBenjamin Lev - Drexel UniversityXiaoyang Zhou - Xidian University
- Contributors
- J Xu (Editor)S E Ahmed (Editor)F L Cooke (Editor)G Duca (Editor)
- Publication Details
- PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, VOL 1, v 1001, pp 261-272
- Series
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Nature
- Number of pages
- 12
- Grant note
- 50221402 / Fund for Creative Research Groups of China; Science Fund for Creative Research Groups 2011CB201200 / State Key Development Program for Basic Research in China (973 Program) 2012017yjsy104 / Funds for Creative Research for graduate student of Sichuan University 71671118 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000587663000019
- Scopus ID
- 2-s2.0-85068219709
- Other Identifier
- 991019169560404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Multidisciplinary
- Operations Research & Management Science