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The role of decentralized generation and storage technologies in future energy systems planning for a rural agglomeration in Switzerland

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  • Yazdanie, Mashael
  • Densing, Martin
  • Wokaun, Alexander

Abstract

This study presents a framework to quantitatively evaluate decentralized generation and storage technology (DGST) performance and policy impacts in a rural setting. The role of DGSTs in the future energy systems planning of a rural agglomeration in Switzerland is examined using a cost optimization modeling approach. Heat and electricity demand for major sectors are considered. Scenarios introduce DGSTs in a stepwise manner to measure incremental impacts on future capacity planning compared to a baseline scenario. Sub-scenarios also examine the impacts of carbon mitigation policies, and a sensitivity analysis is carried out for key energy carriers and conversion technologies. DGSTs enable a significant reduction in electricity grid usage for the community considered. Small hydro with a storage reservoir and photovoltaics enable the community to become largely self-sufficient with over 80% reductions in grid imports by 2050 compared to the baseline scenario. Storage enables maximum usage of the available hydro potential which also leads to network upgrade deferrals and a significant increase in photovoltaic installations. Investment decisions in small hydro are robust against cost variations, while heating technology investment decisions are sensitive to oil and grid electricity prices. Carbon pricing policies are found to be effective in mitigating local fossil fuel emissions.

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  • Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2016. "The role of decentralized generation and storage technologies in future energy systems planning for a rural agglomeration in Switzerland," Energy Policy, Elsevier, vol. 96(C), pages 432-445.
    • Handle: RePEc:eee:enepol:v:96:y:2016:i:c:p:432-445
    DOI: 10.1016/j.enpol.2016.06.010
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    References listed on IDEAS

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    Cited by:

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    2. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    3. Weinand, Jann & Scheller, Fabian Johannes & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Working Paper Series in Production and Energy 41, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Sidhu, Arjan S. & Pollitt, Michael G. & Anaya, Karim L., 2018. "A social cost benefit analysis of grid-scale electrical energy storage projects: A case study," Applied Energy, Elsevier, vol. 212(C), pages 881-894.
    5. Bénard-Sora, Fiona & Praene, Jean Philippe, 2018. "Sustainable urban planning for a successful energy transition on Reunion Island: From policy intentions to practical achievement," Utilities Policy, Elsevier, vol. 55(C), pages 1-13.
    6. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    7. McGookin, Connor & Ó Gallachóir, Brian & Byrne, Edmond, 2021. "An innovative approach for estimating energy demand and supply to inform local energy transitions," Energy, Elsevier, vol. 229(C).
    8. Hofbauer, Leonhard & McDowall, Will & Pye, Steve, 2022. "Challenges and opportunities for energy system modelling to foster multi-level governance of energy transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Petr Hlavacek & Vladim r Skaln k, 2021. "The Implementation of Smart Energy into Transformation of the Rural Area: The Use of Public Policies for Smart Villages Development," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 1-6.
    10. Hannes Schwarz & Valentin Bertsch & Wolf Fichtner, 2018. "Two-stage stochastic, large-scale optimization of a decentralized energy system: a case study focusing on solar PV, heat pumps and storage in a residential quarter," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 265-310, January.
    11. Mavromatidis, Georgios & Petkov, Ivalin, 2021. "MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems," Applied Energy, Elsevier, vol. 288(C).
    12. Pickering, Bryn & Choudhary, Ruchi, 2021. "Quantifying resilience in energy systems with out-of-sample testing," Applied Energy, Elsevier, vol. 285(C).
    13. Fuentes González, Fabián & Sauma, Enzo & van der Weijde, Adriaan Hendrik, 2022. "Community energy projects in the context of generation and transmission expansion planning," Energy Economics, Elsevier, vol. 108(C).
    14. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2018. "The nationwide characterization and modeling of local energy systems: Quantifying the role of decentralized generation and energy resources in future communities," Energy Policy, Elsevier, vol. 118(C), pages 516-533.
    15. Martina Crimmann & Reinhard Madlener, 2021. "Assessing Local Power Generation Potentials of Photovoltaics, Engine Cogeneration, and Heat Pumps: The Case of a Major Swiss City," Energies, MDPI, vol. 14(17), pages 1-26, September.

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