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A simulation-based optimization model to determine optimal electricity prices under various scenarios considering stakeholders’ objectives

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  • Dehghan, Hamed
  • Amin-Naseri, Mohammad Reza

Abstract

Electricity subsidy is allocated by many governments to help access electricity, support domestic industries and achieve social objectives. However, by distorting price signals, problems such as over consumption, low efficiency and investment shortage are attributed to this policy. Thus, many countries want to reduce or remove subsidies. A simulation-based optimization model using system dynamics approach is presented to determine optimal prices for electricity demand sectors and power plants' fuels under demand scenarios considering objectives of Iran's power sector stakeholders, namely government, electricity consumers and electricity producers. The model uses the prices of energy carriers determined based on economic, social and environmental criteria to simulate their impact on supply and demand of electricity, environmental emissions, water consumption and allocated subsidies. Simulation results indicate the household sector should have considerable higher prices in all scenarios. Moreover, with 57% decline in allotted funds, a complete removal of subsidies occurs in case 4. It is shown electricity export reaches 11% of total consumption. Also, CO2 emission and water use respectively decreases by 17.2% and 18.1%. The electricity supply reaches 61% more than the current value and average efficiency of thermal plants reaches 58.31% by 2040, compared respectively with −12% and 42.7%, in case 1.

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  • Dehghan, Hamed & Amin-Naseri, Mohammad Reza, 2022. "A simulation-based optimization model to determine optimal electricity prices under various scenarios considering stakeholders’ objectives," Energy, Elsevier, vol. 238(PC).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221021010
    DOI: 10.1016/j.energy.2021.121853
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    References listed on IDEAS

    as
    1. Hary, Nicolas & Rious, Vincent & Saguan, Marcelo, 2016. "The electricity generation adequacy problem: Assessing dynamic effects of capacity remuneration mechanisms," Energy Policy, Elsevier, vol. 91(C), pages 113-127.
    2. Bhattacharyya, Ranajoy & Ganguly, Amrita, 2017. "Cross subsidy removal in electricity pricing in India," Energy Policy, Elsevier, vol. 100(C), pages 181-190.
    3. Jamil, Faisal & Ahmad, Eatzaz, 2010. "The relationship between electricity consumption, electricity prices and GDP in Pakistan," Energy Policy, Elsevier, vol. 38(10), pages 6016-6025, October.
    4. Qudrat-Ullah, Hassan, 2015. "Independent power (or pollution) producers? Electricity reforms and IPPs in Pakistan," Energy, Elsevier, vol. 83(C), pages 240-251.
    5. Wang, Jidong & Wu, Jiahui & Che, Yanbo, 2019. "Agent and system dynamics-based hybrid modeling and simulation for multilateral bidding in electricity market," Energy, Elsevier, vol. 180(C), pages 444-456.
    6. Li, Yingzhu & Shi, Xunpeng & Su, Bin, 2017. "Economic, social and environmental impacts of fuel subsidies: A revisit of Malaysia," Energy Policy, Elsevier, vol. 110(C), pages 51-61.
    7. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
    8. Zhu, Chaoping & Fan, Ruguo & Lin, Jinchai, 2020. "The impact of renewable portfolio standard on retail electricity market: A system dynamics model of tripartite evolutionary game," Energy Policy, Elsevier, vol. 136(C).
    9. Sovacool, Benjamin K., 2017. "Reviewing, Reforming, and Rethinking Global Energy Subsidies: Towards a Political Economy Research Agenda," Ecological Economics, Elsevier, vol. 135(C), pages 150-163.
    10. Ansari, Nastaran & Seifi, Abbas, 2013. "A system dynamics model for analyzing energy consumption and CO2 emission in Iranian cement industry under various production and export scenarios," Energy Policy, Elsevier, vol. 58(C), pages 75-89.
    11. Tang, Ou & Rehme, Jakob, 2017. "An investigation of renewable certificates policy in Swedish electricity industry using an integrated system dynamics model," International Journal of Production Economics, Elsevier, vol. 194(C), pages 200-213.
    12. Pereira, Adelino J.C. & Saraiva, João Tomé, 2011. "Generation expansion planning (GEP) – A long-term approach using system dynamics and genetic algorithms (GAs)," Energy, Elsevier, vol. 36(8), pages 5180-5199.
    13. Qudrat-Ullah, Hassan, 2013. "Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach," Energy, Elsevier, vol. 59(C), pages 285-294.
    14. Ackerman, Frank & Fisher, Jeremy, 2013. "Is there a water–energy nexus in electricity generation? Long-term scenarios for the western United States," Energy Policy, Elsevier, vol. 59(C), pages 235-241.
    15. Bazilian, Morgan & Onyeji, Ijeoma, 2012. "Fossil fuel subsidy removal and inadequate public power supply: Implications for businesses," Energy Policy, Elsevier, vol. 45(C), pages 1-5.
    16. Mirnezami, Seyed Reza, 2014. "Electricity inequality in Canada: Should pricing reforms eliminate subsidies to encourage efficient usage?," Utilities Policy, Elsevier, vol. 31(C), pages 36-43.
    17. Qudrat-Ullah, Hassan, 2014. "Green power in Ontario: A dynamic model-based analysis," Energy, Elsevier, vol. 77(C), pages 859-870.
    18. Kiani, Behdad & Ali Pourfakhraei, Mohammad, 2010. "A system dynamic model for production and consumption policy in Iran oil and gas sector," Energy Policy, Elsevier, vol. 38(12), pages 7764-7774, December.
    19. Elshkaki, Ayman, 2019. "Material-energy-water-carbon nexus in China’s electricity generation system up to 2050," Energy, Elsevier, vol. 189(C).
    20. Jain, Anil K., 2018. "A fine balance: Lessons from India's experience with petroleum subsidy reforms," Energy Policy, Elsevier, vol. 119(C), pages 242-249.
    21. Jamil, Faisal & Ahmad, Eatzaz, 2011. "Income and price elasticities of electricity demand: Aggregate and sector-wise analyses," Energy Policy, Elsevier, vol. 39(9), pages 5519-5527, September.
    Full references (including those not matched with items on IDEAS)

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