Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin

Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin

Both air pollution and greenhouse effect have become important issues with regard to environmental protection both in China and across the world. Consumption of energy derived from coal, oil, and natural gas forms the main source of China&#8217;s major air pollutants, SO<sub>2</sub>...

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Main Authors: Xiaran Zhang, Xiaoxia Rong, Meng Cai, Qingchun Meng
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sustainability
Subjects:
collaborative optimization
emission reduction
abatement cost
energy structure
multi-objective optimization
Online Access:https://www.mdpi.com/2071-1050/11/14/3872
id doaj-9f2387bb2ecf40d88f8e778adf1a026c
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spelling doaj-9f2387bb2ecf40d88f8e778adf1a026c2020-11-25T02:23:48ZengMDPI AGSustainability2071-10502019-07-011114387210.3390/su11143872su11143872Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in TianjinXiaran Zhang0Xiaoxia Rong1Meng Cai2Qingchun Meng3School of Management, Shandong University, Jinan 250100, ChinaSchool of Mathematics, Shandong University, Jinan 250100, ChinaSchool of Management, Shandong University, Jinan 250100, ChinaSchool of Management, Shandong University, Jinan 250100, ChinaBoth air pollution and greenhouse effect have become important issues with regard to environmental protection both in China and across the world. Consumption of energy derived from coal, oil, and natural gas forms the main source of China&#8217;s major air pollutants, SO<sub>2</sub> and NO<sub>X</sub>, as well as the major greenhouse gas CO<sub>2</sub>. The energy structure adjustment approach provides a sensible way, not only to achieve climate change mitigation and air pollutant reduction, but also to reduce abatement costs. In this paper, a multi-objective optimization method was adopted in order to analyze the collaborative optimization of emissions and abatement costs for both air pollutants and greenhouse gases. As a typical industrial city and economic center with fossil fuels as its main energy source, Tianjin of China is used as the research sample to prove that this method can mitigate air pollutants and greenhouse gas emissions and reduce abatement costs. Through demonstration, the results show that the optimization method proposed can reduce SO<sub>2</sub>, NO<sub>X</sub>, and CO<sub>2</sub> emissions by 27,000 tons, 33,000 tons, and 29,000 tons, respectively, and the abatement costs will be reduced by 620 million yuan by adjusting the energy structure of Tianjin. The proposed method also suggests that China can achieve reductions of abatement cost and greenhouse gas and air pollutant emissions under the proposed energy structure. The results indicate that collaborative optimization would help China and other countries cope with climate change while improving domestic air quality.https://www.mdpi.com/2071-1050/11/14/3872collaborative optimizationemission reductionabatement costenergy structuremulti-objective optimization
collection DOAJ
language English
format Article
sources DOAJ
author Xiaran Zhang
Xiaoxia Rong
Meng Cai
Qingchun Meng
spellingShingle Xiaran Zhang
Xiaoxia Rong
Meng Cai
Qingchun Meng
Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
Sustainability
collaborative optimization
emission reduction
abatement cost
energy structure
multi-objective optimization
author_facet Xiaran Zhang
Xiaoxia Rong
Meng Cai
Qingchun Meng
author_sort Xiaran Zhang
title Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
title_short Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
title_full Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
title_fullStr Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
title_full_unstemmed Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin
title_sort collaborative optimization of emissions and abatement costs for air pollutants and greenhouse gases from the perspective of energy structure: an empirical analysis in tianjin
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-07-01
description Both air pollution and greenhouse effect have become important issues with regard to environmental protection both in China and across the world. Consumption of energy derived from coal, oil, and natural gas forms the main source of China&#8217;s major air pollutants, SO<sub>2</sub> and NO<sub>X</sub>, as well as the major greenhouse gas CO<sub>2</sub>. The energy structure adjustment approach provides a sensible way, not only to achieve climate change mitigation and air pollutant reduction, but also to reduce abatement costs. In this paper, a multi-objective optimization method was adopted in order to analyze the collaborative optimization of emissions and abatement costs for both air pollutants and greenhouse gases. As a typical industrial city and economic center with fossil fuels as its main energy source, Tianjin of China is used as the research sample to prove that this method can mitigate air pollutants and greenhouse gas emissions and reduce abatement costs. Through demonstration, the results show that the optimization method proposed can reduce SO<sub>2</sub>, NO<sub>X</sub>, and CO<sub>2</sub> emissions by 27,000 tons, 33,000 tons, and 29,000 tons, respectively, and the abatement costs will be reduced by 620 million yuan by adjusting the energy structure of Tianjin. The proposed method also suggests that China can achieve reductions of abatement cost and greenhouse gas and air pollutant emissions under the proposed energy structure. The results indicate that collaborative optimization would help China and other countries cope with climate change while improving domestic air quality.
topic collaborative optimization
emission reduction
abatement cost
energy structure
multi-objective optimization
url https://www.mdpi.com/2071-1050/11/14/3872
work_keys_str_mv AT xiaranzhang collaborativeoptimizationofemissionsandabatementcostsforairpollutantsandgreenhousegasesfromtheperspectiveofenergystructureanempiricalanalysisintianjin
AT xiaoxiarong collaborativeoptimizationofemissionsandabatementcostsforairpollutantsandgreenhousegasesfromtheperspectiveofenergystructureanempiricalanalysisintianjin
AT mengcai collaborativeoptimizationofemissionsandabatementcostsforairpollutantsandgreenhousegasesfromtheperspectiveofenergystructureanempiricalanalysisintianjin
AT qingchunmeng collaborativeoptimizationofemissionsandabatementcostsforairpollutantsandgreenhousegasesfromtheperspectiveofenergystructureanempiricalanalysisintianjin
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