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Future energy planning to maximize renewable energy share for the south Caspian Sea climate

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  • Izanloo, Milad
  • Noorollahi, Younes
  • Aslani, Alireza

Abstract

In recent decades global warming has turned into an international concern. Anthropogenic Greenhouse gases (GHG) are produced through burning fossil fuel leading to an increase in the global warming effect; thus, GHG reduction contributes to mitigating climate change. Utilizing renewable energies, increasing efficiency of and capacity factor (CF) of existing power plants, and recycling waste energy in various industries are convenient solutions to improve the energy systems performance to reduce fossil fuel consumption, leading to GHG emission. So, there is a substantial need for planning and evaluating the energy systems in which various technologies are used, technically and economically. Theis study's main objectives are utilizing the capacity of renewable energies such as biomass, wind, solar, hydropower, and enhancement of CF and efficiency of the power plants in the Mazandaran region in the south of the Caspian Sea. The energy system considered for the region is modeled and analyzed by six scenarios in this paper. The results indicated that the share of renewable energies in electricity production could be increased from 5.4% to 47.7%. The results of cost analysis show that by applying the sixth scenario, which is integrated policies of increasing RER share and improvement of efficiency and capacity factor. The trends of total annual cost, CO2 emission, and fossil fuel consumption are reduced compared to the business as usual (BAU) scenario. The average cost saved by this scenario is about 220 MUSD/year. The average amount of fossil fuels and CO2 emission save are 11 TWh/year and 2.438 Mt/year between 2020 and 2030, respectively.

Suggested Citation

  • Izanloo, Milad & Noorollahi, Younes & Aslani, Alireza, 2021. "Future energy planning to maximize renewable energy share for the south Caspian Sea climate," Renewable Energy, Elsevier, vol. 175(C), pages 660-675.
    • Handle: RePEc:eee:renene:v:175:y:2021:i:c:p:660-675
    DOI: 10.1016/j.renene.2021.05.008
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    as
    1. Amiri Rad, Ehsan & Kazemiani-Najafabadi, Parisa, 2017. "Thermo-environmental and economic analyses of an integrated heat recovery steam-injected gas turbine," Energy, Elsevier, vol. 141(C), pages 1940-1954.
    2. Cuesta, M.A. & Castillo-Calzadilla, T. & Borges, C.E., 2020. "A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    3. Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam & Harijan, Khanji & Walasai, Gordhan Das & Mondal, Md Alam Hossain & Sahin, Hasret, 2018. "Long-term electricity demand forecast and supply side scenarios for Pakistan (2015–2050): A LEAP model application for policy analysis," Energy, Elsevier, vol. 165(PB), pages 512-526.
    4. Rashwan, Sherif S. & Shaaban, Ahmed M. & Al-Suliman, Fahad, 2017. "A comparative study of a small-scale solar PV power plant in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 313-318.
    5. Mondal, Md. Alam Hossain & Kennedy, Scott & Mezher, Toufic, 2014. "Long-term optimization of United Arab Emirates energy future: Policy implications," Applied Energy, Elsevier, vol. 114(C), pages 466-474.
    6. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    7. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.
    8. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    9. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
    10. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.
    11. Mondal, Md. Alam Hossain & Bryan, Elizabeth & Ringler, Claudia & Rosegrant, Mark, 2017. "Ethiopian power sector development: Renewable based universal electricity access and export strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 11-20.
    12. Guido Marseglia & Carlo Maria Medaglia & Alessandro Petrozzi & Andrea Nicolini & Franco Cotana & Federico Sormani, 2019. "Experimental Tests and Modeling on a Combined Heat and Power Biomass Plant," Energies, MDPI, vol. 12(13), pages 1-17, July.
    13. Noorollahi, Younes & Golshanfard, Aminabbas & Ansaripour, Shiva & Khaledi, Arian & Shadi, Mehdi, 2021. "Solar energy for sustainable heating and cooling energy system planning in arid climates," Energy, Elsevier, vol. 218(C).
    14. Hong, Jong Ho & Kim, Jitae & Son, Wonik & Shin, Heeyoung & Kim, Nahyun & Lee, Woong Ki & Kim, Jintae, 2019. "Long-term energy strategy scenarios for South Korea: Transition to a sustainable energy system," Energy Policy, Elsevier, vol. 127(C), pages 425-437.
    15. Ghasemi, Golara & Noorollahi, Younes & Alavi, Hamed & Marzband, Mousa & Shahbazi, Mahmoud, 2019. "Theoretical and technical potential evaluation of solar power generation in Iran," Renewable Energy, Elsevier, vol. 138(C), pages 1250-1261.
    16. Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
    17. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    18. Manzoor, Davood & Aryanpur, Vahid, 2017. "Power sector development in Iran: A retrospective optimization approach," Energy, Elsevier, vol. 140(P1), pages 330-339.
    19. Pye, Steve & Sabio, Nagore & Strachan, Neil, 2015. "An integrated systematic analysis of uncertainties in UK energy transition pathways," Energy Policy, Elsevier, vol. 87(C), pages 673-684.
    20. Ilinca, Adrian & McCarthy, Ed & Chaumel, Jean-Louis & Rétiveau, Jean-Louis, 2003. "Wind potential assessment of Quebec Province," Renewable Energy, Elsevier, vol. 28(12), pages 1881-1897.
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