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Developing sustainable power systems by evaluating techno-economic, environmental, and social indicators from a system dynamics approach

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  • Karbasioun, Matin
  • Gholamalipour, Afshin
  • Safaie, Nasser
  • Shirazizadeh, Rasool
  • Amidpour, Majid

Abstract

The transition from fossil fuel-based energy systems to renewable energy systems (RES), especially in fossil-fuel-rich countries, is a challenging process requiring consideration of numerous factors, including technological feasibility, cost-effectiveness, and public acceptance. As governments play a crucial role in determining energy and environmental policy, developing practical policymaking tools encourages them to stimulate the adoption of renewable energy technology. This study proposes a novel framework to model an energy system transition focused on the power generation and its dynamic behavior of fossil-fuel-rich countries using the System Dynamics (SD) approach and then assesses the techno-economic and environmental impacts of various economic, technical, and environmental policies using the Multi-Criteria Decision-Analysis technique (MCDA). This study aims to compare the development of renewable technologies development versus improving the current technology efficiency under three different “business as usual,” “basic development,” and “advanced development” scenarios by assessing economic, environmental, and social indicators over the horizon of 2016–2040 in fossil-rich-fuel countries. The proposed framework was applied to Iran, a fossil-fuel-rich country. According to the case study results, in all of the defined policies under three scenarios, the improvement of fossil fuel technologies received the highest score indicating that improvement in the efficiency of the current energy system by utilizing combined cycle systems is an inevitable step. Taking into account the water shortage in Iran, the second crucial stage is the implementation of water-efficient renewable technologies.

Suggested Citation

  • Karbasioun, Matin & Gholamalipour, Afshin & Safaie, Nasser & Shirazizadeh, Rasool & Amidpour, Majid, 2023. "Developing sustainable power systems by evaluating techno-economic, environmental, and social indicators from a system dynamics approach," Utilities Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000784
    DOI: 10.1016/j.jup.2023.101566
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    References listed on IDEAS

    as
    1. Mohapatra, D.K. & Mohanakrishnan, P., 2010. "A methodology for the assessment of nuclear power development scenario," Energy Policy, Elsevier, vol. 38(8), pages 4330-4338, August.
    2. Aryanpur, Vahid & Atabaki, Mohammad Saeid & Marzband, Mousa & Siano, Pierluigi & Ghayoumi, Kiarash, 2019. "An overview of energy planning in Iran and transition pathways towards sustainable electricity supply sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 58-74.
    3. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    4. Chaube, Anshuman & Chapman, Andrew & Minami, Akari & Stubbins, James & Huff, Kathryn D., 2021. "The role of current and emerging technologies in meeting Japan’s mid- to long-term carbon reduction goals," Applied Energy, Elsevier, vol. 304(C).
    5. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    6. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    7. Atabaki, Mohammad Saeid & Aryanpur, Vahid, 2018. "Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran," Energy, Elsevier, vol. 161(C), pages 493-507.
    8. Sim, Jaehun & Kim, Chae-Soo, 2019. "The value of renewable energy research and development investments with default consideration," Renewable Energy, Elsevier, vol. 143(C), pages 530-539.
    9. AlFarra, Hasan Jamil & Abu-Hijleh, Bassam, 2012. "The potential role of nuclear energy in mitigating CO2 emissions in the United Arab Emirates," Energy Policy, Elsevier, vol. 42(C), pages 272-285.
    10. Castaneda, Monica & Zapata, Sebastian & Cherni, Judith & Aristizabal, Andres J. & Dyner, Isaac, 2020. "The long-term effects of cautious feed-in tariff reductions on photovoltaic generation in the UK residential sector," Renewable Energy, Elsevier, vol. 155(C), pages 1432-1443.
    11. Bamooeifard, Alireza, 2020. "Future studies in Iran development plans for wind power, a system dynamics modeling approach," Renewable Energy, Elsevier, vol. 162(C), pages 1054-1064.
    12. Sadeghi, Mehdi & Mirshojaeian Hosseini, Hossein, 2008. "Integrated energy planning for transportation sector--A case study for Iran with techno-economic approach," Energy Policy, Elsevier, vol. 36(2), pages 850-866, February.
    13. Gary, Shayne & Larsen, Erik Reimer, 2000. "Improving firm performance in out-of-equilibrium, deregulated markets using feedback simulation models," Energy Policy, Elsevier, vol. 28(12), pages 845-855, October.
    14. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    15. Lekavičius, Vidas & Galinis, Arvydas & Miškinis, Vaclovas, 2019. "Long-term economic impacts of energy development scenarios: The role of domestic electricity generation," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Shmelev, Stanislav E. & van den Bergh, Jeroen C.J.M., 2016. "Optimal diversity of renewable energy alternatives under multiple criteria: An application to the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 679-691.
    17. Fairuz, S.M.C. & Sulaiman, M.Y. & Lim, C.H. & Mat, S. & Ali, B. & Saadatian, O. & Ruslan, M.H. & Salleh, E. & Sopian, K., 2013. "Long term strategy for electricity generation in Peninsular Malaysia – Analysis of cost and carbon footprint using MESSAGE," Energy Policy, Elsevier, vol. 62(C), pages 493-502.
    18. Hsu, Chiung-Wen, 2012. "Using a system dynamics model to assess the effects of capital subsidies and feed-in tariffs on solar PV installations," Applied Energy, Elsevier, vol. 100(C), pages 205-217.
    19. Olsina, Fernando & Garces, Francisco & Haubrich, H.-J., 2006. "Modeling long-term dynamics of electricity markets," Energy Policy, Elsevier, vol. 34(12), pages 1411-1433, August.
    20. Amirnekooei, K. & Ardehali, M.M. & Sadri, A., 2012. "Integrated resource planning for Iran: Development of reference energy system, forecast, and long-term energy-environment plan," Energy, Elsevier, vol. 46(1), pages 374-385.
    21. Dianat, Fateme & Khodakarami, Vahid & Hosseini, Seyed-Hossein & Shakouri G, Hamed, 2022. "Combining game theory concepts and system dynamics for evaluating renewable electricity development in fossil-fuel-rich countries in the Middle East and North Africa," Renewable Energy, Elsevier, vol. 190(C), pages 805-821.
    22. Glynn, James & Chiodi, Alessandro & Gargiulo, Maurizio & Deane, J.P. & Bazilian, Morgan & Gallachóir, Brian Ó, 2014. "Energy Security Analysis: The case of constrained oil supply for Ireland," Energy Policy, Elsevier, vol. 66(C), pages 312-325.
    23. 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.
    24. Park, Jung-Yeon & Ahn, Nam-Sung & Yoon, Yong-Beum & Koh, Kyung-Ho & Bunn, Derek W., 2007. "Investment incentives in the Korean electricity market," Energy Policy, Elsevier, vol. 35(11), pages 5819-5828, November.
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