IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v195y2024ics0301421524004142.html
   My bibliography  Save this article

An integrated policy approach for sustainable decarbonization pathways of energy system in a city under climate change scenarios

Author

Listed:
  • Rezazadeh, Ali Akbar
  • Avami, Akram

Abstract

An integrated assessment model has been developed to estimate useful energy demand, followed by an optimization model for planning the energy supply. Four scenarios have been developed. The findings of this study highlight the impact of behavioral, climate change, and socio-economic factors on energy demand and supply. Specifically, these factors can lead to significant variations in demand, such as a more than 3.48-fold difference in cooling demand or a 1.75-fold difference in the transportation demand by cars across various scenarios.

Suggested Citation

  • Rezazadeh, Ali Akbar & Avami, Akram, 2024. "An integrated policy approach for sustainable decarbonization pathways of energy system in a city under climate change scenarios," Energy Policy, Elsevier, vol. 195(C).
    • Handle: RePEc:eee:enepol:v:195:y:2024:i:c:s0301421524004142
    DOI: 10.1016/j.enpol.2024.114394
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421524004142
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2024.114394?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Pei-Hao & Zamanipour, Behzad & Keppo, Ilkka, 2024. "Revealing technological entanglements in uncertain decarbonisation pathways using bayesian networks," Energy Policy, Elsevier, vol. 193(C).
    2. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    3. Alizadeh, Sadegh & Rezazadeh, Ali Akbar & Avami, Akram, 2024. "A cutting-edge tool for sustainable environmental management through life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Fabian Kesicki & Paul Ekins, 2012. "Marginal abatement cost curves: a call for caution," Climate Policy, Taylor & Francis Journals, vol. 12(2), pages 219-236, March.
    5. Tol, Richard S.J., 2024. "A meta-analysis of the total economic impact of climate change," Energy Policy, Elsevier, vol. 185(C).
    6. R. Daniel Bressler, 2021. "The mortality cost of carbon," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    7. Galiano Bastarrica, Luis Antonio & Buitrago Esquinas, Eva M. & Caraballo Pou, María Ángeles & Yñiguez Ovando, Rocío, 2023. "An Integrated Assessment Model for comparing electricity decarbonisation scenarios: The case for Spain," Energy Policy, Elsevier, vol. 178(C).
    8. Mandegari, Mohsen & Ebadian, Mahmood & Saddler, Jack (John), 2023. "The need for effective life cycle assessment (LCA) to enhance the effectiveness of policies such as low carbon fuel standards (LCFS's)," Energy Policy, Elsevier, vol. 181(C).
    9. Avami, Akram, 2013. "Assessment of optimal biofuel supply chain planning in Iran: Technical, economic, and agricultural perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 761-768.
    10. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 41(C), pages 374-392.
    11. Sun, Qie & Fu, Yu & Lin, Haiyang & Wennersten, Ronald, 2022. "A novel integrated stochastic programming-information gap decision theory (IGDT) approach for optimization of integrated energy systems (IESs) with multiple uncertainties," Applied Energy, Elsevier, vol. 314(C).
    12. Avami, Akram, 2012. "A model for biodiesel supply chain: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4196-4203.
    13. Abdulgader Alsharif & Chee Wei Tan & Razman Ayop & Ahmed Al Smin & Abdussalam Ali Ahmed & Farag Hamed Kuwil & Mohamed Mohamed Khaleel, 2023. "Impact of Electric Vehicle on Residential Power Distribution Considering Energy Management Strategy and Stochastic Monte Carlo Algorithm," Energies, MDPI, vol. 16(3), pages 1-22, January.
    14. Yu, Yang & Jian, Xin & Wang, Hongxiang & Jahanger, Atif & Balsalobre-Lorente, Daniel, 2024. "Unraveling the nexus: China's economic policy uncertainty and carbon emission efficiency through advanced multivariate quantile-on-quantile regression analysis," Energy Policy, Elsevier, vol. 188(C).
    15. Miao, Yuang & Lu, Huixia & Cui, Shizhang & Zhang, Xu & Zhang, Yusheng & Song, Xinwang & Cheng, Haiying, 2024. "CO2 emissions change in Tianjin: The driving factors and the role of CCS," Applied Energy, Elsevier, vol. 353(PA).
    16. Hasan, Atiye Haj & Avami, Akram, 2018. "Water and emissions nexus for biodiesel in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 354-363.
    17. Khoshgoftar Manesh, M.H. & Rezazadeh, A. & Kabiri, S., 2020. "A feasibility study on the potential, economic, and environmental advantages of biogas production from poultry manure in Iran," Renewable Energy, Elsevier, vol. 159(C), pages 87-106.
    18. Vahid-Ghavidel, Morteza & Jafari, Mehdi & Letellier-Duchesne, Samuel & Berzolla, Zachary & Reinhart, Christoph & Botterud, Audun, 2024. "Integrated energy demand-supply modeling for low-carbon neighborhood planning," Applied Energy, Elsevier, vol. 358(C).
    19. Liu, Zhiyuan & Yu, Hang & Liu, Rui, 2019. "A novel energy supply and demand matching model in park integrated energy system," Energy, Elsevier, vol. 176(C), pages 1007-1019.
    20. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
    21. Alizadeh, Sadegh & Avami, Akram, 2021. "Development of a framework for the sustainability evaluation of renewable and fossil fuel power plants using integrated LCA-emergy analysis: A case study in Iran," Renewable Energy, Elsevier, vol. 179(C), pages 1548-1564.
    22. Zhenfen Wu & Zhe Wang & Qiliang Yang & Changyun Li, 2024. "Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics," Energies, MDPI, vol. 17(2), pages 1-22, January.
    23. Colombe, Connor & Leibowicz, Benjamin D. & Mendoza, Benjamin R., 2024. "The effects of policy uncertainty and risk aversion on carbon capture, utilization, and storage investments," Energy Policy, Elsevier, vol. 192(C).
    24. K. von Schuckmann & M. D. Palmer & K. E. Trenberth & A. Cazenave & D. Chambers & N. Champollion & J. Hansen & S. A. Josey & N. Loeb & P.-P. Mathieu & B. Meyssignac & M. Wild, 2016. "An imperative to monitor Earth's energy imbalance," Nature Climate Change, Nature, vol. 6(2), pages 138-144, February.
    25. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    2. Rahemi, Hasti & Torabi, S. Ali & Avami, Akram & Jolai, Fariborz, 2020. "Bioethanol supply chain network design considering land characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. Shahbazi, Ashkan & Avami, Akram & Moeini-Aghtaie, Moein & Tavassoti, Hamidreza, 2024. "Optimum carbon tax rate for emission targets of electricity generation system by life cycle techno-economic-environmental optimization model," Renewable Energy, Elsevier, vol. 237(PD).
    4. Khishtandar, Soheila & Zandieh, Mostafa & Dorri, Behrouz, 2017. "A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: The case of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1130-1145.
    5. Peacock, Malcolm & Fragaki, Aikaterini & Matuszewski, Bogdan J, 2023. "The impact of heat electrification on the seasonal and interannual electricity demand of Great Britain," Applied Energy, Elsevier, vol. 337(C).
    6. Vithayasrichareon, Peerapat & MacGill, Iain F., 2013. "Assessing the value of wind generation in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 53(C), pages 400-412.
    7. Saujot, Mathieu & Lefèvre, Benoit, 2016. "The next generation of urban MACCs. Reassessing the cost-effectiveness of urban mitigation options by integrating a systemic approach and social costs," Energy Policy, Elsevier, vol. 92(C), pages 124-138.
    8. Ravikumar, Dwarakanath & Malghan, Deepak, 2013. "Material constraints for indigenous production of CdTe PV: Evidence from a Monte Carlo experiment using India's National Solar Mission Benchmarks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 393-403.
    9. Jackson, Matthew D. & Regnier, Geraldine & Staffell, Iain, 2024. "Aquifer Thermal Energy Storage for low carbon heating and cooling in the United Kingdom: Current status and future prospects," Applied Energy, Elsevier, vol. 376(PA).
    10. Shu, Ying & Hossain, Mohammad Razib & Tillaguango, Brayan & Alvarado, Rafael & Işık, Cem & Murshed, Muntasir & Chen, Zhiguang, 2024. "Geo-political risks, uncertainty, financial development, renewable energy, and carbon intensity: Empirical evidence from countries at high geo-political risks," Applied Energy, Elsevier, vol. 376(PB).
    11. Joxe Mari Barrutiabengoa & Julián Cubero & Rafael Doménech & Javier Andrés, 2023. "Global | Bienestar y Coste Social del Carbono [Global | Social Welfare and the Social Cost of Carbon]," Working Papers 23/04, BBVA Bank, Economic Research Department.
    12. Wan Ting Katty Huang & Pierre Masselot & Elie Bou-Zeid & Simone Fatichi & Athanasios Paschalis & Ting Sun & Antonio Gasparrini & Gabriele Manoli, 2023. "Economic valuation of temperature-related mortality attributed to urban heat islands in European cities," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    13. Machado, R.L. & Abreu, M.R., 2024. "Multi-objective optimization of the first and second-generation ethanol supply chain in Brazil using the water-energy-food-land nexus approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    14. Cuenca, Juan J. & Daly, Hannah E. & Hayes, Barry P., 2023. "Sharing the grid: The key to equitable access for small-scale energy generation," Applied Energy, Elsevier, vol. 349(C).
    15. Min, Daiki & Chung, Jaewoo, 2013. "Evaluation of the long-term power generation mix: The case study of South Korea's energy policy," Energy Policy, Elsevier, vol. 62(C), pages 1544-1552.
    16. Ilaria Perissi & Aled Jones, 2024. "An Emissions Offset Strategy to Accomplish 2 °C Long-Term Mitigation Goals in the European Union," Sustainability, MDPI, vol. 16(11), pages 1-13, June.
    17. Liu, Jiejie & Li, Yao & Ma, Yanan & Qin, Ruomu & Meng, Xianyang & Wu, Jiangtao, 2023. "Two-layer multiple scenario optimization framework for integrated energy system based on optimal energy contribution ratio strategy," Energy, Elsevier, vol. 285(C).
    18. Vogt-Schilb, Adrien & Hallegatte, Stephane & de Gouvello Christophe, 2014. "Long-term mitigation strategies and marginal abatement cost curves : a case study on Brazil," Policy Research Working Paper Series 6808, The World Bank.
    19. May Elsayyad & Florian Morath, 2016. "Technology Transfers For Climate Change," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 1057-1084, August.
    20. Nimmanterdwong, Prathana & Chalermsinsuwan, Benjapon & Piumsomboon, Pornpote, 2023. "Optimizing utilization pathways for biomass to chemicals and energy by integrating emergy analysis and particle swarm optimization (PSO)," Renewable Energy, Elsevier, vol. 202(C), pages 1448-1459.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:195:y:2024:i:c:s0301421524004142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.