Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing

Carbon emissions are posing continuing threats to climate change and becoming the important evaluation indicator for sustainable development. The amount of global carbon emission is increasing largely, with coal-fired power plants (CPP) being the major contributor. This study proposes dynamic equili...

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Vydané v:	Energy policy Ročník 123; s. 184 - 197
Hlavní autori:	Xu, Jiuping, Huang, Qian, Lv, Chengwei, Feng, Qing, Wang, Fengjuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier Ltd 01.12.2018 Elsevier Science Ltd
Predmet:	Air pollution algorithms Biomass Biomass-coal co-firing method Carbon Carbon dioxide Carbon emissions reduction China Climate change Coal Coal-fired power plants Competition Cooperation Coordination Dismissal Dynamic equilibrium strategy Dynamic programming Economic development Economics Electric power generation Emission analysis Emissions Emissions control Energy policy Environmental protection Equilibrium Industrial plant emissions industry Interest groups International trade Mathematical programming Multiple objective analysis Parameter uncertainty Power plants stakeholders Sustainability Sustainable development Uncertainty China Carbon emissions reduction Biomass-coal co-firing method Dynamic equilibrium strategy
ISSN:	0301-4215, 1873-6777
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Abstract	Carbon emissions are posing continuing threats to climate change and becoming the important evaluation indicator for sustainable development. The amount of global carbon emission is increasing largely, with coal-fired power plants (CPP) being the major contributor. This study proposes dynamic equilibrium strategy based on biomass-coal co-firing method to reduce carbon emissions, in which bi-level programming method is employed to build a cooperative relationship between the authority and CPPs, dynamic programming method is used to handle biomass availability time conflict, multi-objective programming method is applied to seek the trade-off between economic development and environmental protection, and furthermore uncertainty theory is introduced to address imprecise uncertain parameters. The proposed model is then applied to a case in Jiangsu, China, to demonstrate its efficiency and practicality, and an interactive algorithm is developed as the solution approach to represent the objectives and limitations between several stakeholders. Based on analyses and discussions under different scenarios, the proposed method can achieve economic-environmental coordination and realize sustainable development, and moreover a carbon emissions allocation competition mechanism is recommended. This methodology could be used in various countries and industries with only slight adjustments needed to some parameters. •A dynamic bilevel bio-coal cofiring model for carbon emissions reduction is proposed.•Trade-off between economic development and environmental protection is analyzed.•Multiple stakeholders conflict and time sequence conflict are analyzed.•Application of the method in Jiangsu, China under different scenarios is presented.•The carbon emissions allocation competition policy achieves carbon reduction targets.
AbstractList	Carbon emissions are posing continuing threats to climate change and becoming the important evaluation indicator for sustainable development. The amount of global carbon emission is increasing largely, with coal-fired power plants (CPP) being the major contributor. This study proposes dynamic equilibrium strategy based on biomass-coal co-firing method to reduce carbon emissions, in which bi-level programming method is employed to build a cooperative relationship between the authority and CPPs, dynamic programming method is used to handle biomass availability time conflict, multi-objective programming method is applied to seek the trade-off between economic development and environmental protection, and furthermore uncertainty theory is introduced to address imprecise uncertain parameters. The proposed model is then applied to a case in Jiangsu, China, to demonstrate its efficiency and practicality, and an interactive algorithm is developed as the solution approach to represent the objectives and limitations between several stakeholders. Based on analyses and discussions under different scenarios, the proposed method can achieve economic-environmental coordination and realize sustainable development, and moreover a carbon emissions allocation competition mechanism is recommended. This methodology could be used in various countries and industries with only slight adjustments needed to some parameters. Carbon emissions are posing continuing threats to climate change and becoming the important evaluation indicator for sustainable development. The amount of global carbon emission is increasing largely, with coal-fired power plants (CPP) being the major contributor. This study proposes dynamic equilibrium strategy based on biomass-coal co-firing method to reduce carbon emissions, in which bi-level programming method is employed to build a cooperative relationship between the authority and CPPs, dynamic programming method is used to handle biomass availability time conflict, multi-objective programming method is applied to seek the trade-off between economic development and environmental protection, and furthermore uncertainty theory is introduced to address imprecise uncertain parameters. The proposed model is then applied to a case in Jiangsu, China, to demonstrate its efficiency and practicality, and an interactive algorithm is developed as the solution approach to represent the objectives and limitations between several stakeholders. Based on analyses and discussions under different scenarios, the proposed method can achieve economic-environmental coordination and realize sustainable development, and moreover a carbon emissions allocation competition mechanism is recommended. This methodology could be used in various countries and industries with only slight adjustments needed to some parameters. •A dynamic bilevel bio-coal cofiring model for carbon emissions reduction is proposed.•Trade-off between economic development and environmental protection is analyzed.•Multiple stakeholders conflict and time sequence conflict are analyzed.•Application of the method in Jiangsu, China under different scenarios is presented.•The carbon emissions allocation competition policy achieves carbon reduction targets.
Author	Xu, Jiuping Wang, Fengjuan Lv, Chengwei Feng, Qing Huang, Qian
Author_xml	– sequence: 1 givenname: Jiuping surname: Xu fullname: Xu, Jiuping email: xujiuping@scu.edu.cn organization: Business School, Sichuan University, Chengdu 610064, PR China – sequence: 2 givenname: Qian surname: Huang fullname: Huang, Qian organization: Business School, Sichuan University, Chengdu 610064, PR China – sequence: 3 givenname: Chengwei surname: Lv fullname: Lv, Chengwei organization: Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610064, PR China – sequence: 4 givenname: Qing surname: Feng fullname: Feng, Qing organization: Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610064, PR China – sequence: 5 givenname: Fengjuan surname: Wang fullname: Wang, Fengjuan organization: Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610064, PR China
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SubjectTerms	Air pollution algorithms Biomass Biomass-coal co-firing method Carbon Carbon dioxide Carbon emissions reduction China Climate change Coal Coal-fired power plants Competition Cooperation Coordination Dismissal Dynamic equilibrium strategy Dynamic programming Economic development Economics Electric power generation Emission analysis Emissions Emissions control Energy policy Environmental protection Equilibrium Industrial plant emissions industry Interest groups International trade Mathematical programming Multiple objective analysis Parameter uncertainty Power plants stakeholders Sustainability Sustainable development Uncertainty
Title	Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing
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