IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1553-d1057560.html
   My bibliography  Save this article

Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal

Author

Listed:
  • Dan Yu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Caihong Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Siyi Wang

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Lan Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

Abstract

Under the background of “dual carbon”, the coupled power generation of agricultural and forestry biomass (AFB) and coal, as a new path of coal-power transformation, is key to achieving energy conservation and reducing emissions in the power sector. Timely and effective government subsidies as well as regulation policies will play important roles in the development of the coupled power generation industry. Previous studies usually assumed government policy as singular and static, rarely considering the dynamic changes in government policies. In this study, evolutionary game theory and systematic dynamics research methods were combined. The game relationship and the dynamic evolution process of the behavioral strategies of both sides are analyzed through the construction of a mixed-strategies game model of the government and power plants. A system dynamics model is built for simulations based on the results of the dynamic game evolution, and the influence paths of key factors on the behavioral strategies of the government and power plants were further demonstrated. The results indicated the following: (1) The behavioral strategies of the government and power plants were not stable for a long period of time, but fluctuated during their mutual influence. The dynamic policies and measures formulated by the government according to changes in the behavioral strategies of power plants will promote industrial development more effectively. (2) Increasing subsidization and the strengthening of supervision caused by government policy can increase the enthusiasm of power plants to choose the coupled power generation of AFB and coal. (3) If the government improves the benefits or reduces the transformation costs caused by coupled power generation the industry will be fundamentally improved. The results clearly show the interactions as well as adjustment processes of the behavioral strategies of power plants and the government in the coupled power generation industry of AFB and coal, and the specific effects of key factors on the behavioral strategies of power plants and the government were investigated. This study can provide a theoretical basis for the government to formulate reasonable industrial policies and measures for the coupled power generation of AFB and coal, in addition to being a valuable reference for other countries to develop a coupled power generation industry.

Suggested Citation

  • Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1553-:d:1057560
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1553/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/3/1553/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cai, Yongtie & Tay, Kunlin & Zheng, Zhimin & Yang, Wenming & Wang, Hui & Zeng, Guang & Li, Zhiwang & Keng Boon, Siah & Subbaiah, Prabakaran, 2018. "Modeling of ash formation and deposition processes in coal and biomass fired boilers: A comprehensive review," Applied Energy, Elsevier, vol. 230(C), pages 1447-1544.
    2. Xiaozhe Ma & Leying Wu & Yongbin Zhu & Jing Wu & Yaochen Qin, 2022. "Simulation of Vegetation Carbon Sink of Arbor Forest and Carbon Mitigation of Forestry Bioenergy in China," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
    3. Luo, Yi & Miller, Shelie A., 2017. "Using Game Theory to Resolve the “Chicken and Egg” Situation in Promoting Cellulosic Bioenergy Development," Ecological Economics, Elsevier, vol. 135(C), pages 29-41.
    4. Jayne Lois G. San Juan & Kathleen B. Aviso & Raymond R. Tan & Charlle L. Sy, 2019. "A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations," Energies, MDPI, vol. 12(12), pages 1-24, June.
    5. Li, Ye & Yang, Tianjian & Zhang, Yu, 2022. "Evolutionary game theory-based system dynamics modeling for community solid waste classification in China," Utilities Policy, Elsevier, vol. 79(C).
    6. Marek Wieruszewski & Katarzyna Mydlarz, 2022. "The Potential of the Bioenergy Market in the European Union—An Overview of Energy Biomass Resources," Energies, MDPI, vol. 15(24), pages 1-23, December.
    7. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    8. Chen, Weidong & Zeng, Yu & Xu, Chongqing, 2019. "Energy storage subsidy estimation for microgrid: A real option game-theoretic approach," Applied Energy, Elsevier, vol. 239(C), pages 373-382.
    9. Xu, Jiuping & Huang, Qian & Lv, Chengwei & Feng, Qing & Wang, Fengjuan, 2018. "Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing," Energy Policy, Elsevier, vol. 123(C), pages 184-197.
    10. Lintunen, Jussi & Kangas, Hanna-Liisa, 2010. "The case of co-firing: The market level effects of subsidizing biomass co-combustion," Energy Economics, Elsevier, vol. 32(3), pages 694-701, May.
    11. Nawaz, Zanib & Ali, Usman, 2020. "Techno-economic evaluation of different operating scenarios for indigenous and imported coal blends and biomass co-firing on supercritical coal fired power plant performance," Energy, Elsevier, vol. 212(C).
    12. Garces, Estefany & Franco, Carlos J. & Tomei, Julia & Dyner, Isaac, 2023. "Sustainable electricity supply for small off-grid communities in Colombia: A system dynamics approach," Energy Policy, Elsevier, vol. 172(C).
    13. Agbor, Ezinwa & Oyedun, Adetoyese Olajire & Zhang, Xiaolei & Kumar, Amit, 2016. "Integrated techno-economic and environmental assessments of sixty scenarios for co-firing biomass with coal and natural gas," Applied Energy, Elsevier, vol. 169(C), pages 433-449.
    14. Biao Li & Yong Geng & Xiqiang Xia & Dan Qiao, 2021. "The Impact of Government Subsidies on the Low-Carbon Supply Chain Based on Carbon Emission Reduction Level," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    15. Tan, Qinliang & Wang, Tingran & Zhang, Yimei & Miao, Xinyan & Zhu, Jun, 2017. "Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China," Energy, Elsevier, vol. 139(C), pages 1066-1079.
    16. Aliya Askarova & Montserrat Zamorano & Jaime Martín-Pascual & Aizhan Nugymanova & Saltanat Bolegenova, 2022. "A Review of the Energy Potential of Residual Biomass for Coincineration in Kazakhstan," Energies, MDPI, vol. 15(17), pages 1-15, September.
    17. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
    18. Jaroslaw Krzywanski & Tomasz Czakiert & Anna Zylka & Wojciech Nowak & Marcin Sosnowski & Karolina Grabowska & Dorian Skrobek & Karol Sztekler & Anna Kulakowska & Waqar Muhammad Ashraf & Yunfei Gao, 2022. "Modelling of SO 2 and NO x Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach," Energies, MDPI, vol. 15(21), pages 1-17, October.
    19. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    20. Amin Khademi & Sandra Eksioglu, 2021. "Optimal governmental incentives for biomass cofiring to reduce emissions in the short-term," IISE Transactions, Taylor & Francis Journals, vol. 53(8), pages 883-896, August.
    21. Nasiri, Fuzhan & Zaccour, Georges, 2009. "An exploratory game-theoretic analysis of biomass electricity generation supply chain," Energy Policy, Elsevier, vol. 37(11), pages 4514-4522, November.
    22. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    23. Moledina, Amyaz A. & Coggins, Jay S. & Polasky, Stephen & Costello, Christopher, 2003. "Dynamic environmental policy with strategic firms: prices versus quantities," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 356-376, March.
    24. Aberilla, Jhud Mikhail & Gallego-Schmid, Alejandro & Azapagic, Adisa, 2019. "Environmental sustainability of small-scale biomass power technologies for agricultural communities in developing countries," Renewable Energy, Elsevier, vol. 141(C), pages 493-506.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Jian-Xin & Tan, Xianchun & Gu, Baihe & Zhu, Kaiwei, 2022. "Integration of supply chain management of hybrid biomass power plant with carbon capture and storage operation," Renewable Energy, Elsevier, vol. 190(C), pages 1055-1065.
    2. Lyu, Yuan & He, Yongxiu & Li, Shanzi & Zhou, Jinghan & Tian, BingYing, 2024. "Channeling approach of prosumer connection costs considering regional differences in China — Evolutionary game among distributed photovoltaic entities," Energy, Elsevier, vol. 289(C).
    3. Juanjuan Wu & Jian Zhang & Weiming Yi & Hongzhen Cai & Yang Li & Zhanpeng Su, 2021. "A Game-Theoretic Analysis of Incentive Effects for Agribiomass Power Generation Supply Chain in China," Energies, MDPI, vol. 14(3), pages 1-18, January.
    4. 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).
    5. Zhang, Mengdi & Shen, Qiao & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Commitment or rent-seeking? Government incentive policies for ESG reporting in sustainable e-commerce logistics," International Journal of Production Economics, Elsevier, vol. 268(C).
    6. Linlin Wang & Zhuo Li & Chengcheng Yuan & Liming Liu, 2024. "Exploration on the reasons for low efficiency of arable land protection policy in China: an evolutionary game theoretic model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 25173-25198, October.
    7. De Laporte, Aaron V. & Weersink, Alfons J. & McKenney, Daniel W., 2016. "Effects of supply chain structure and biomass prices on bioenergy feedstock supply," Applied Energy, Elsevier, vol. 183(C), pages 1053-1064.
    8. Fayu Chen & Jinhao Liu & Xiaoyu Liu & Hua Zhang, 2023. "Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    9. Zhou, Xiaoxiao & Jia, Mengyu & Wang, Lu & Sharma, Gagan Deep & Zhao, Xin & Ma, Xiaowei, 2022. "Modelling and simulation of a four-group evolutionary game model for green innovation stakeholders: Contextual evidence in lens of sustainable development," Renewable Energy, Elsevier, vol. 197(C), pages 500-517.
    10. Guo, Jian & Zhong, Minghao & Chen, Shuran, 2022. "Analysis and simulation of BECCS vertical integration model in China based on evolutionary game and system dynamics," Energy, Elsevier, vol. 252(C).
    11. Yan Xu & Kun Yang & Jiahui Zhou & Guohao Zhao, 2020. "Coal-Biomass Co-Firing Power Generation Technology: Current Status, Challenges and Policy Implications," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    12. Li, Yanan & Lin, Jun & Qian, Yanjun & Li, Dehong, 2023. "Feed-in tariff policy for biomass power generation: Incorporating the feedstock acquisition process," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1113-1132.
    13. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    14. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    15. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    16. Yan Zhou & Xin-Tong Lin & Zhi-Ping Fan & Kar-Hung Wong, 2022. "Remanufacturing Strategy Choice of a Closed-Loop Supply Chain Network Considering Carbon Emission Trading, Green Innovation, and Green Consumers," IJERPH, MDPI, vol. 19(11), pages 1-42, June.
    17. Ning Xiang & Limao Wang & Shuai Zhong & Chen Zheng & Bo Wang & Qiushi Qu, 2021. "How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data," Energies, MDPI, vol. 14(22), pages 1-17, November.
    18. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    19. Deng Xu & Yong Long, 2019. "The Impact of Government Subsidy on Renewable Microgrid Investment Considering Double Externalities," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    20. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1553-:d:1057560. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.