Abstract
This study developed the agent-based model (ABM) in which agents play the multiplayer game “Energy Transition” instead of human players. The theme of “Energy Transition” is the energy transition from fossil fuels to renewables in a deregulated energy market. The purpose of this study is to clarify the impact of price competition on the promotion of renewables in the energy market. Two types of contrastive agents are designed for the model. One is a competitive agent who is aggressive in expanding the market share to make profits. The other is a non-competitive agent who is more eager to invest in renewables for long-term profits than to compete with others for short-term profits. Two types of simulations are performed. In the simulation-1, the total number of agents is fixed and the ratio of two types of agents is changed. In the simulation-2, the ratio of two types of agents is fixed, and the aggressiveness of competitive agents is changed. The results show that the total usage of renewable energy and total profit in the market become smaller as the number of competitive agents increases. Further, more aggressive agents make the competition stronger and largely decrease the usage of renewables.
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References
Ministry of Economy, Trade and Industry (METI) Agency for Natural Resources and Energy: Energy supply and demand results 2018. METI website. http://www.enecho.meti.go.jp/statistics/total_energy/pdf/stte_025.pdf. Accessed 29 Mar 2019
British Petroleum: BP Statistical Review of World Energy (2018). BP website. https://www.bp.com/en/global/corporate/energy-economics.html. Accessed 29 Mar 2019
International Energy Agency: World Energy Outlook 2016. IEA, Paris (2016)
METI Agency for Natural Resources and Energy: Report on verification of power generation costs to the long-term energy supply and demand forecast subcommittee (2015). http://www.enecho.meti.go.jp/committee/council/basic_policy_subcommittee/mitoshi/cost_wg/006/pdf/006_05.pdf. Accessed 29 Mar 2019
Tsur, Y., Zemel, M.: Optimal transition to backstop substitutes for nonrenewable resources. J. Econ. Dyn. Control 27, 551–572 (2003)
Suzuki, K., Nakai, K., Ogihara, A.: Design of simulation and gaming to promote the energy transition from fossil fuels to renewables. In: Hamada, R., Soranastaporn, S., Kanegae, H., Dumrongrojwatthana, P., Chaisanit, S., Rizzi, P., Dumblekar, V. (eds.) Neo-Simulation and Gaming Toward Active Learning. TSS, vol. 18, pp. 201–210. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-8039-6_19
Gupta, S.D.: Dynamics of switching from polluting resources to green technologies. Int. J. Energy Econ. Policy 5(4), 1109–1124 (2015)
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The authors are grateful for financial support by the Foundation for the Fusion of Science and Technology (FOST).
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Ogihara, A., Suzuki, K., Nakai, K. (2021). Impact of Competition in Energy Market on Promotion of Renewables: An Agent-Based Model Approach. In: Wardaszko, M., Meijer, S., Lukosch, H., Kanegae, H., Kriz, W.C., Grzybowska-Brzezińska, M. (eds) Simulation Gaming Through Times and Disciplines. ISAGA 2019. Lecture Notes in Computer Science(), vol 11988. Springer, Cham. https://doi.org/10.1007/978-3-030-72132-9_18
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DOI: https://doi.org/10.1007/978-3-030-72132-9_18
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