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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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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1724187181079068672 |