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Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants
Conference proceeding

Stack Allowance Trading Mechanism Based Optimization Strategy for Phosphogypsum Reduction in Phosphate Fertilizer Plants

Lurong Fan, Guojiao Chen, Zongmin Li, Benjamin Lev and Xiaoyang Zhou
PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, VOL 1, v 1001, pp 261-272
01 Jan 2020

Abstract

Computer Science Computer Science, Artificial Intelligence Engineering Engineering, Multidisciplinary Operations Research & Management Science Science & Technology Technology
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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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#6 Clean Water and Sanitation

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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
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