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A bi-level model for coal power decarbonization via biomass co-firing considering CO2 emission trading system

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  • Huang, Qian
  • Feng, Qing

Abstract

Faced with the challenges posed by the Paris Agreement targets, biomass co-firing offers an efficient measure to decarbonize coal-fired power generation. Although economic burden of biomass co-firing has severely limited the large-scale application, effective CO2 emission trading system has the capability to subsidize and incentivize. Existing studies related to biomass co-firing under CO2 emission trading system fail to consider multiple decision makers and uncertain decision-making environment. To address these limitations, this paper proposes a bi-level model for coal power decarbonization via biomass co-firing considering CO2 emission trading system in an uncertain decision-making environment. It considers the interactive relationship between multiple decision makers. The upper-level model focuses on the formulation of CO2 emission trading system, and the lower-level model decides biomass co-firing and emission reduction. Fuzzy set theory is employed to describe the uncertain parameters and convert them into exact values. To calculate the model, a bi-level interactive method based on satisfactory solution is developed. A case study is conducted to illustrate the effectiveness and practicality of the proposed model. Results show that the price of initial quotas fluctuates between 38.01 and 48.7 CNY/tonne, and the lowest carbon intensity is 0.741 kg/kWh. Management recommendations are provided to support CO2 emission reduction.

Suggested Citation

  • Huang, Qian & Feng, Qing, 2024. "A bi-level model for coal power decarbonization via biomass co-firing considering CO2 emission trading system," Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:energy:v:305:y:2024:i:c:s0360544224021595
    DOI: 10.1016/j.energy.2024.132385
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    1. d'Aspremont, Claude & Jacquemin, Alexis, 1988. "Cooperative and Noncooperative R&D in Duopoly with Spillovers," American Economic Review, American Economic Association, vol. 78(5), pages 1133-1137, December.
    2. Hariana, & Putra, Hanafi Prida & Prabowo, & Hilmawan, Edi & Darmawan, Arif & Mochida, Keiichi & Aziz, Muhammad, 2023. "Theoretical and experimental investigation of ash-related problems during coal co-firing with different types of biomass in a pulverized coal-fired boiler," Energy, Elsevier, vol. 269(C).
    3. Peng, Qiao & Liu, Weilong & Zhang, Yong & Zeng, Shihong & Graham, Byron, 2023. "Generation planning for power companies with hybrid production technologies under multiple renewable energy policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    4. Tsupari, Eemeli & Arponen, Timo & Hankalin, Ville & Kärki, Janne & Kouri, Sampo, 2017. "Feasibility comparison of bioenergy and CO2 capture and storage in a large combined heat, power and cooling system," Energy, Elsevier, vol. 139(C), pages 1040-1051.
    5. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    6. Zhang, Yun-Long & Liu, Lan-Cui & Kang, Jia-Ning & Peng, Song & Mi, Zhifu & Liao, Hua & Wei, Yi-Ming, 2024. "Economic feasibility assessment of coal-biomass co-firing power generation technology," Energy, Elsevier, vol. 296(C).
    7. Chen, Boyu & Che, Yanbo & Zheng, Zhihao & Zhao, Shuaijun, 2023. "Multi-objective robust optimal bidding strategy for a data center operator based on bi-level optimization," Energy, Elsevier, vol. 269(C).
    8. Mu, Lin & Li, Tong & Wang, Zhen & Shang, Yan & Yin, Hongchao, 2021. "Influence of water/acid washing pretreatment of aquatic biomass on ash transformation and slagging behavior during co-firing with bituminous coal," Energy, Elsevier, vol. 234(C).
    9. Mohd Yahya, Nur Syahira & Ng, Lik Yin & Andiappan, Viknesh, 2021. "Optimisation and planning of biomass supply chain for new and existing power plants based on carbon reduction targets," Energy, Elsevier, vol. 237(C).
    10. Tan, Zhizhou & Zeng, Xianhai & Lin, Boqiang, 2023. "How do multiple policy incentives influence investors’ decisions on biomass co-firing combined with carbon capture and storage retrofit projects for coal-fired power plants?," Energy, Elsevier, vol. 278(PB).
    11. Roni, Mohammad S. & Chowdhury, Sudipta & Mamun, Saleh & Marufuzzaman, Mohammad & Lein, William & Johnson, Samuel, 2017. "Biomass co-firing technology with policies, challenges, and opportunities: A global review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1089-1101.
    12. Wei Peng & Fabian Wagner & M. V. Ramana & Haibo Zhai & Mitchell J. Small & Carole Dalin & Xin Zhang & Denise L. Mauzerall, 2018. "Managing China’s coal power plants to address multiple environmental objectives," Nature Sustainability, Nature, vol. 1(11), pages 693-701, November.
    13. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector," Energies, MDPI, vol. 12(15), pages 1-20, August.
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