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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Bibliographic Details
Published in:Energy policy Vol. 123; pp. 184 - 197
Main Authors: Xu, Jiuping, Huang, Qian, Lv, Chengwei, Feng, Qing, Wang, Fengjuan
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.12.2018
Elsevier Science Ltd
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:0301-4215
1873-6777
DOI:10.1016/j.enpol.2018.08.043