Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization

Due to the lack of an effective overall coordinated treatment method, it is difficult to achieve low cost and efficient removal of pollutants from coal-fired flue gas. This paper establishes a collaborative optimization model for ultralow emission systems, including a system level model of operation...

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Main Authors: Song Zheng, Kafei Tang, Shuai Chen, Xiaoqing Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9037368/
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spelling doaj-c40d9e510dca47beb94e462c0c5a22502021-03-30T01:25:00ZengIEEEIEEE Access2169-35362020-01-018510085102010.1109/ACCESS.2020.29749389037368Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative OptimizationSong Zheng0https://orcid.org/0000-0001-9649-7610Kafei Tang1https://orcid.org/0000-0003-0418-0881Shuai Chen2https://orcid.org/0000-0003-1579-5486Xiaoqing Zheng3https://orcid.org/0000-0003-3377-1904School of Automation, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, ChinaEngineering Research Center of Measuring Instrument and Integration Technology for Automation System, Ministry of Education, Hangzhou Dianzi University, Hangzhou, ChinaEngineering Research Center of Measuring Instrument and Integration Technology for Automation System, Ministry of Education, Hangzhou Dianzi University, Hangzhou, ChinaDue to the lack of an effective overall coordinated treatment method, it is difficult to achieve low cost and efficient removal of pollutants from coal-fired flue gas. This paper establishes a collaborative optimization model for ultralow emission systems, including a system level model of operation cost and three discipline level models for denitration, desulfurization, and dust removal. An improved collaborative optimization method with a dynamic penalty function is proposed to optimize an ultralow emission system. Simulation results show that the improved method achieves better global optimization and effectively reduces the operation cost of the system under ultralow emission constraints.https://ieeexplore.ieee.org/document/9037368/Coal-fired flue gas pollutantcollaborative removaldynamic penalty functioncollaborative optimizationoperation cost
collection DOAJ
language English
format Article
sources DOAJ
author Song Zheng
Kafei Tang
Shuai Chen
Xiaoqing Zheng
spellingShingle Song Zheng
Kafei Tang
Shuai Chen
Xiaoqing Zheng
Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
IEEE Access
Coal-fired flue gas pollutant
collaborative removal
dynamic penalty function
collaborative optimization
operation cost
author_facet Song Zheng
Kafei Tang
Shuai Chen
Xiaoqing Zheng
author_sort Song Zheng
title Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
title_short Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
title_full Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
title_fullStr Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
title_full_unstemmed Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
title_sort operation cost optimization on an ultralow emission system based on improved collaborative optimization
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Due to the lack of an effective overall coordinated treatment method, it is difficult to achieve low cost and efficient removal of pollutants from coal-fired flue gas. This paper establishes a collaborative optimization model for ultralow emission systems, including a system level model of operation cost and three discipline level models for denitration, desulfurization, and dust removal. An improved collaborative optimization method with a dynamic penalty function is proposed to optimize an ultralow emission system. Simulation results show that the improved method achieves better global optimization and effectively reduces the operation cost of the system under ultralow emission constraints.
topic Coal-fired flue gas pollutant
collaborative removal
dynamic penalty function
collaborative optimization
operation cost
url https://ieeexplore.ieee.org/document/9037368/
work_keys_str_mv AT songzheng operationcostoptimizationonanultralowemissionsystembasedonimprovedcollaborativeoptimization
AT kafeitang operationcostoptimizationonanultralowemissionsystembasedonimprovedcollaborativeoptimization
AT shuaichen operationcostoptimizationonanultralowemissionsystembasedonimprovedcollaborativeoptimization
AT xiaoqingzheng operationcostoptimizationonanultralowemissionsystembasedonimprovedcollaborativeoptimization
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