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Demand side management for electricity in Iran: cost and emission analysis using LEAP modeling framework

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  • Mina Masoomi

    (Islamic Azad University)

  • Mostafa Panahi

    (Islamic Azad University)

  • Reza Samadi

    (SATBA - Ministry of Energy)

Abstract

In recent years, escalating cost of generating electricity, substantial investments with the purpose of building power plants, and environmental pollution related to the power generation have underlined the importance of optimal power supply and demand management. Given that, by employing Long-range Energy Alternatives Planning (LEAP) software, the present study set out to optimize the energy system of Iran through two model capabilities, namely electric sector optimization and simulation. To do so, the energy system was initially evaluated by optimizing Iran's demand for electricity by the Demand Side Management (DSM) scenario. Then, Iran's electricity sector was optimized to generate electricity at the lowest cost by setting emission roof with different scenarios, especially the Optimized scenario. The social cost and GHG emission were evaluated in both steps. The prospective social costs of the electricity generation sector based on Optimized and DSM scenarios were calculated to be 5.1 and 4.8 Billion U.S. Dollars in 2035. Regarding the environmental results of the study, the emission rates of pollutants based on Optimized and DSM scenarios were reported to be144 and 429 $${\mathrm{MtCO}}_{2}$$ MtCO 2 for the same year.

Suggested Citation

  • Mina Masoomi & Mostafa Panahi & Reza Samadi, 2022. "Demand side management for electricity in Iran: cost and emission analysis using LEAP modeling framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5667-5693, April.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01676-7
    DOI: 10.1007/s10668-021-01676-7
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    Cited by:

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    2. El-Sayed, Ahmed Hassan A. & Khalil, Adel & Yehia, Mohamed, 2023. "Modeling alternative scenarios for Egypt 2050 energy mix based on LEAP analysis," Energy, Elsevier, vol. 266(C).
    3. Malka, Lorenc & Bidaj, Flamur & Kuriqi, Alban & Jaku, Aldona & Roçi, Rexhina & Gebremedhin, Alemayehu, 2023. "Energy system analysis with a focus on future energy demand projections: The case of Norway," Energy, Elsevier, vol. 272(C).
    4. Alicja Kolasa-Więcek & Agnieszka A. Pilarska & Małgorzata Wzorek & Dariusz Suszanowicz & Piotr Boniecki, 2023. "Modeling the Consumption of Main Fossil Fuels in Greenhouse Gas Emissions in European Countries, Considering Gross Domestic Product and Population," Energies, MDPI, vol. 16(23), pages 1-18, December.

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