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Municipal scale scenario: Analysis of an Italian seaside town with MarkAL-TIMES

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  • Comodi, G.
  • Cioccolanti, L.
  • Gargiulo, M.

Abstract

This work presents three 25-year energy scenarios developed with the TIMES model generator for Pesaro, a seaside municipality in central Italy. It evaluates the effectiveness of local-scale energy policies in three sectors: households, transport, and the public sector (PS). Since the local energy demand is affected by summer tourism, seasonal consumption by holiday homes was also studied. Three scenarios were hypothesized: Business as Usual (BAU), Exemplary Public Sector (EPS), and Exemplary Municipality (EM). The EPS scenario models the exemplary role that recent European directives attribute to the PS in setting energy efficiency and technology penetration targets for itself; the EM scenario extends these targets to the household sector. In particular, the study underscores the potential of micro-cogeneration technologies in achieving local environmental targets, even though their diffusion would involve an increase in local energy consumption due to internalization of the primary energy used to produce electricity, which would no longer be wholly imported from outside municipal boundaries. The study provides information to local decision-makers by estimating the cost of implementing a number of energy policies. Finally, the study discusses the adequacy of TIMES as a tool to analyse municipal-scale scenarios.

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  • Comodi, G. & Cioccolanti, L. & Gargiulo, M., 2012. "Municipal scale scenario: Analysis of an Italian seaside town with MarkAL-TIMES," Energy Policy, Elsevier, vol. 41(C), pages 303-315.
  • Handle: RePEc:eee:enepol:v:41:y:2012:i:c:p:303-315
    DOI: 10.1016/j.enpol.2011.10.049
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    Cited by:

    1. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    2. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    3. Brandoni, Caterina & Polonara, Fabio, 2012. "The role of municipal energy planning in the regional energy-planning process," Energy, Elsevier, vol. 48(1), pages 323-338.
    4. Comodi, Gabriele & Cioccolanti, Luca & Renzi, Massimiliano, 2014. "Modelling the Italian household sector at the municipal scale: Micro-CHP, renewables and energy efficiency," Energy, Elsevier, vol. 68(C), pages 92-103.
    5. Farooq, Muhammad Khalid & Kumar, S. & Shrestha, Ram M., 2013. "Energy, environmental and economic effects of Renewable Portfolio Standards (RPS) in a Developing Country," Energy Policy, Elsevier, vol. 62(C), pages 989-1001.
    6. Comodi, Gabriele & Cioccolanti, Luca & Polonara, Fabio & Brandoni, Caterina, 2012. "Local authorities in the context of energy and climate policy," Energy Policy, Elsevier, vol. 51(C), pages 737-748.
    7. Dubreuil, Aurelie & Assoumou, Edi & Bouckaert, Stephanie & Selosse, Sandrine & Maı¨zi, Nadia, 2013. "Water modeling in an energy optimization framework – The water-scarce middle east context," Applied Energy, Elsevier, vol. 101(C), pages 268-279.
    8. Timmerman, Jonas & Vandevelde, Lieven & Van Eetvelde, Greet, 2014. "Towards low carbon business park energy systems: Classification of techno-economic energy models," Energy, Elsevier, vol. 75(C), pages 68-80.
    9. Thorne, Rebecca J. & Bouman, Evert A. & Guerreiro, Cristina B.B. & Majchrzak, Anna & Calus, Sylwia, 2019. "Using life cycle assessment to inform municipal climate mitigation planning," Energy Policy, Elsevier, vol. 129(C), pages 173-181.
    10. Sveinbjörnsson, Dadi & Ben Amer-Allam, Sara & Hansen, Anders Bavnhøj & Algren, Loui & Pedersen, Allan Schrøder, 2017. "Energy supply modelling of a low-CO2 emitting energy system: Case study of a Danish municipality," Applied Energy, Elsevier, vol. 195(C), pages 922-941.
    11. Juroszek, Zbigniew & Kudelko, Mariusz, 2016. "A model of optimization for local energy infrastructure development," Energy, Elsevier, vol. 96(C), pages 625-643.

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