文献详情
Many-objective optimization of technology implementation in the industrial symbiosis system based on a modified NSGA-III
文献类型：期刊
通讯作者：Wen, ZG (reprint author), Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China.
期刊名称：JOURNAL OF CLEANER PRODUCTION影响因子和分区
年：2020
卷：245
ISSN：0959-6526
关键词：Industrial symbiosis; Many-objective optimization; NSGA-III; Energy conservation; Emission reduction
摘要：Industrial symbiosis is a promising approach for energy conservation and emission reduction in the global industrial sector. The objective of this research is to optimize technology implementation within the industrial symbiosis system to achieve enhanced environmental and economic performance. The case study in this research has five objectives, making this a many-objective optimization problem (MaOP). MaOPs are a type of multi-objective optimization problems (MOPs), with the key difference bei ...More
Industrial symbiosis is a promising approach for energy conservation and emission reduction in the global industrial sector. The objective of this research is to optimize technology implementation within the industrial symbiosis system to achieve enhanced environmental and economic performance. The case study in this research has five objectives, making this a many-objective optimization problem (MaOP). MaOPs are a type of multi-objective optimization problems (MOPs), with the key difference being that MaOPs have four or more optimization objectives. While traditional intelligent algorithms are suitable for solving MOPs with no more than three objectives, they encounter serious difficulties when applied to MaOPs (high risk of falling into a local optimum, high computational complexity in algorithm performance evaluation, and difficulty in visualizing and analyzing high-dimensional optimal solutions). To fill this gap, this article establishes a novel methodological framework for solving many-objective environmental management problems. The framework includes a modified NSGA-III model, the Hypervolume by Slicing Objectives algorithm, the Heatmap method, and the fitted curve method. This framework provides model optimization, algorithm performance evaluation, results visualization, and decision-making analysis capabilities for optimizing technology implementation within the industrial symbiosis system. The study tests the effectiveness and reliability of this methodology. The result shows that industrial symbiosis can greatly reduce energy consumption, pollutant emissions, and economic costs in the industrial sector. Optimal technologies for effective industrial symbiosis in China from 2020 to 2030 are identified. (C) 2019 Elsevier Ltd. All rights reserved. ...Hide

DOI：10.1016/j.jclepro.2019.118810
百度学术：Many-objective optimization of technology implementation in the industrial symbiosis system based on a modified NSGA-III
语言：外文
基金：National Natural Science Foundation for Young Scholars of ChinaNational Natural Science Foundation of ChinaNational Science Fund for Distinguished Young Scholars [71904202]; Fund of the Humanities and Social Sciences Youth Foundation of the Ministry of Education of China [19YJC630006]; Science Foundation of China University of Petroleum, Beijing [2462018YJRC024]; National Natural Science Foundation for Outstanding Young Scholars of ChinaNational Natural Science Foundation of ChinaNational Science Fund for Distinguished Young Scholars [71522011]
作者其他论文



Methodology for an urban ecological footprint to evaluate sustainable development in China.Du, Bin;Zhang, Kunmin;Song, Guojun,等.INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY.2006,13(4),245-254.
Models and indicators to measure ecologically sustainability.Zhang, Kunmin;Wen, Zongguo;Du, Bin,等.2003,1,120-125.
Models and indicators to measure ecologically sustainability.Zhang, Kunmin;Wen, Zongguo;Du, Bin,等.Energy and the Environment - Proceedings of the International Conference on Energy and the Environment.2003,1,120-125.