IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i6p3724-3738.html

Solar farm investment game model: A data‐driven case in Florida

Author

Listed:
  • Junhai Ma
  • Tiantong Xu

Abstract

The most effective approach to subsidizing power producers in order to bolster the penetration of renewable energy is continuously debated. To address this issue, this paper undertakes an in‐depth investigation into a solar farm investment problem, aiming at capturing the common interests and frictions among the government, the solar system developer, and the utility. In this paper, both static and dynamic game models are proposed with the consideration of the uncertainty of solar power generation. Before investing in a solar farm project, a potential solar farm investor takes into account of subsidy rate regulation for utilities enacted by the government, the panel price announced by the solar developer. In this study, we identified two thresholds of solar panel cost, which provide valuable insights for government policymakers when formulating an appropriate subsidy rate for the solar energy industry. Besides, a optimal policy for each stakeholder has been exposed. The finding from the dynamic model discloses the profound influence of various behaviors on the long‐term profitability of each stakeholder. Finally, based on the real‐world solar power data in Orlando, a case study is presented to expose a more tangible prospect for industrial application.

Suggested Citation

  • Junhai Ma & Tiantong Xu, 2023. "Solar farm investment game model: A data‐driven case in Florida," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3724-3738, September.
    • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3724-3738
    DOI: 10.1002/mde.3904
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3904
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3904?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Castaneda, Monica & Jimenez, Maritza & Zapata, Sebastian & Franco, Carlos J. & Dyner, Isaac, 2017. "Myths and facts of the utility death spiral," Energy Policy, Elsevier, vol. 110(C), pages 105-116.
    2. A. A. Elsadany & A. M. Awad, 2019. "Dynamics and chaos control of a duopolistic Bertrand competitions under environmental taxes," Annals of Operations Research, Springer, vol. 274(1), pages 211-240, March.
    3. Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.
    4. Hwarng, H. Brian & Xie, Na, 2008. "Understanding supply chain dynamics: A chaos perspective," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1163-1178, February.
    5. Mondal, Sayantani, 2019. "A new supply chain model and its synchronization behaviour," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 140-148.
    6. Ma, Junhai & Hou, Yaming & Wang, Zongxian & Yang, Wenhui, 2021. "Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    7. Xi, Xuan & Zhang, Jixiang, 2020. "Complexity analysis of a decision-making game concerning governments and heterogeneous agricultural enterprises with bounded rationality," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    8. Yao, Chunsheng & Chen, Chongying & Li, Ming, 2012. "Analysis of rural residential energy consumption and corresponding carbon emissions in China," Energy Policy, Elsevier, vol. 41(C), pages 445-450.
    9. Shanshan Hu & Gilvan C. Souza & Mark E. Ferguson & Wenbin Wang, 2015. "Capacity Investment in Renewable Energy Technology with Supply Intermittency: Data Granularity Matters!," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 480-494, October.
    10. Larsen, Erik R. & Morecroft, John D. W. & Thomsen, Jesper S., 1999. "Complex behaviour in a production-distribution model," European Journal of Operational Research, Elsevier, vol. 119(1), pages 61-74, November.
    11. Maxime C. Cohen & Ruben Lobel & Georgia Perakis, 2016. "The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption," Management Science, INFORMS, vol. 62(5), pages 1235-1258, May.
    12. Coffman, Makena & Wee, Sherilyn & Bonham, Carl & Salim, Germaine, 2016. "A policy analysis of Hawaii's solar tax credit," Renewable Energy, Elsevier, vol. 85(C), pages 1036-1043.
    13. Tang, Christopher S. & Sodhi, ManMohan S. & Formentini, Marco, 2016. "An analysis of partially-guaranteed-price contracts between farmers and agri-food companies," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1063-1073.
    14. Böhringer, Christoph & Cuntz, Alexander & Harhoff, Dietmar & Asane-Otoo, Emmanuel, 2017. "The impact of the German feed-in tariff scheme on innovation: Evidence based on patent filings in renewable energy technologies," Energy Economics, Elsevier, vol. 67(C), pages 545-553.
    15. Haegermark, Maria & Kovacs, Peter & Dalenbäck, Jan-Olof, 2017. "Economic feasibility of solar photovoltaic rooftop systems in a complex setting: A Swedish case study," Energy, Elsevier, vol. 127(C), pages 18-29.
    16. Junhai Ma & Tiantong Xu, 2023. "Optimal strategy of investing in solar energy for meeting the renewable portfolio standard requirement in America," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(1), pages 181-194, January.
    17. Owen Q. Wu & Roman Kapuscinski, 2013. "Curtailing Intermittent Generation in Electrical Systems," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 578-595, October.
    18. Burns, John Edward & Kang, Jin-Su, 2012. "Comparative economic analysis of supporting policies for residential solar PV in the United States: Solar Renewable Energy Credit (SREC) potential," Energy Policy, Elsevier, vol. 44(C), pages 217-225.
    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. Xu, Tiantong & Mo, Lipo & Liu, Diyi, 2024. "Feed-in tariff or sheep farming subsidy? Implications of promoting photovoltaic energy by solar sheep raising," Energy Policy, Elsevier, vol. 184(C).
    2. Guo, Qiaozhen & He, Qiao-Chu & Chen, Ying-Ju & Huang, Wei, 2021. "Poverty mitigation via solar panel adoption: Smart contracts and targeted subsidy design," Omega, Elsevier, vol. 102(C).
    3. Agostino Capponi & Garud Iyengar & Bo Yang & Daniel Bienstock, 2025. "Virtual Trading in Multi-Settlement Electricity Markets," Papers 2508.11979, arXiv.org.
    4. Nur Sunar & Jayashankar M. Swaminathan, 2021. "Net-Metered Distributed Renewable Energy: A Peril for Utilities?," Management Science, INFORMS, vol. 67(11), pages 6716-6733, November.
    5. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.
    6. Nur Sunar & John R. Birge, 2019. "Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets," Management Science, INFORMS, vol. 65(2), pages 714-734, February.
    7. Alexandar Angelus, 2021. "Distributed Renewable Power Generation and Implications for Capacity Investment and Electricity Prices," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4614-4634, December.
    8. Panos Kouvelis & Hirofumi Matsuo & Yixuan Xiao & Quan Yuan, 2023. "Long‐term service agreement in electricity supply chain with renewable energy penetration," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1830-1845, June.
    9. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    10. Ding, Yanyan & Jian, Sisi, 2024. "Strategic investment in charging infrastructure: Sharing costs or taking over?," Applied Energy, Elsevier, vol. 376(PA).
    11. Alessio Trivella & Danial Mohseni-Taheri & Selvaprabu Nadarajah, 2023. "Meeting Corporate Renewable Power Targets," Management Science, INFORMS, vol. 69(1), pages 491-512, January.
    12. Zongxian Wang & Xiao Li & Weihua Liang & Junhai Ma, 2023. "Does a New Electric Vehicle Manufacturer Have the Incentive for Battery Life Investment? A Study Based on the Game Framework," Mathematics, MDPI, vol. 11(16), pages 1-20, August.
    13. Junhai Ma & Qiang Liu & Meihong Zhu & Hao Ren & Xiaoyan Wang, 2024. "Stackelberg–Cournot dynamic game and risk management of heterogeneous supply chain enterprises under government carbon emission policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 4258-4275, September.
    14. Kastsian, Darya & Mönnigmann, Martin, 2011. "Optimization of a vendor managed inventory supply chain with guaranteed stability and robustness," International Journal of Production Economics, Elsevier, vol. 131(2), pages 727-735, June.
    15. Heikki Peura & Derek W. Bunn, 2021. "Renewable Power and Electricity Prices: The Impact of Forward Markets," Management Science, INFORMS, vol. 67(8), pages 4772-4788, August.
    16. Yangfang (Helen) Zhou & Alan Scheller‐Wolf & Nicola Secomandi & Stephen Smith, 2019. "Managing Wind‐Based Electricity Generation in the Presence of Storage and Transmission Capacity," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 970-989, April.
    17. Luyi Gui & Tinglong Dai, 2026. "Power Couple? AI Growth and Renewable Energy Investment," Papers 2603.26678, arXiv.org.
    18. A. Gürhan Kök & Kevin Shang & Şafak Yücel, 2020. "Investments in Renewable and Conventional Energy: The Role of Operational Flexibility," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 925-941, September.
    19. Junhai Ma & Yuxin Liu & Li Zhao & Weihua Liang, 2024. "Research on the mechanism and application of spatial credit risk contagion based on complex network model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(2), pages 1180-1193, March.
    20. Xie Jiaping & Zhang Weisi & Xia Yu & Liang Ling & Kong Lingcheng, 2018. "Electricity Price of Hybrid Power System and Decision Making of Renewable Energy Investment Capacity," Journal of Systems Science and Information, De Gruyter, vol. 6(3), pages 193-213, June.

    More about this item

    Statistics

    Access and download statistics

    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:wly:mgtdec:v:44:y:2023:i:6:p:3724-3738. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.