IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1103-d740717.html
   My bibliography  Save this article

Supporting Decarbonization Strategies of Local Energy Systems by De-Risking Investments in Renewables: A Case Study on Pantelleria Island

Author

Listed:
  • Riccardo Novo

    (Energy Center Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    MOREnergy Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

  • Francesco Demetrio Minuto

    (Energy Center Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

  • Giovanni Bracco

    (MOREnergy Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

  • Giuliana Mattiazzo

    (Energy Center Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    MOREnergy Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

  • Romano Borchiellini

    (Energy Center Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

  • Andrea Lanzini

    (Energy Center Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy
    Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy)

Abstract

Nowadays, energy policymakers are asked to develop strategies to ensure an affordable clean energy supply as well as minimizing investment risks. In addition, the rise of several community engagement schemes and the uptake of user-scale technologies introduce uncertainties that may result in a disruptive factor for energy systems evolution. This paper introduces a novel scenario analysis approach for local energy planning that supports policymakers and investors in prioritizing new renewable power plant investments, addressing the risks deriving from citizens’ choices. Specifically, a combined analysis is performed on the adoption trends of distributed photovoltaic systems and electric vehicles that are expected to heavily influence the evolution of energy systems. For this reason, an energy model is developed for Pantelleria island, and its transition from an oil-based energy supply to a renewable one up to 2050 is investigated. It is demonstrated how optimal-cost renewable-based scenarios can assure a 45% to 52% CO 2 emissions reduction and a 6% to 15% overall cost reduction with respect to the diesel-based business-as-usual scenario. The analyzed scenarios disclose the recommended investments in each renewable technology, considering their learning curves and the unpredictability of user-scale technology adoption. Consequently, priorities in the installation of renewable power plants are stressed, starting with the most resilient to future uncertainties, as well as promoting specific incentive measures for citizens’ commitment at a local scale.

Suggested Citation

  • Riccardo Novo & Francesco Demetrio Minuto & Giovanni Bracco & Giuliana Mattiazzo & Romano Borchiellini & Andrea Lanzini, 2022. "Supporting Decarbonization Strategies of Local Energy Systems by De-Risking Investments in Renewables: A Case Study on Pantelleria Island," Energies, MDPI, vol. 15(3), pages 1-25, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1103-:d:740717
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1103/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/3/1103/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    2. Tobias S. Schmidt, 2014. "Low-carbon investment risks and de-risking," Nature Climate Change, Nature, vol. 4(4), pages 237-239, April.
    3. Roby, Helen & Dibb, Sally, 2019. "Future pathways to mainstreaming community energy," Energy Policy, Elsevier, vol. 135(C).
    4. Neves, Ana Rita & Leal, Vítor, 2010. "Energy sustainability indicators for local energy planning: Review of current practices and derivation of a new framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2723-2735, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claudio Moscoloni & Fernando Zarra & Riccardo Novo & Enrico Giglio & Alberto Vargiu & Guglielmina Mutani & Giovanni Bracco & Giuliana Mattiazzo, 2022. "Wind Turbines and Rooftop Photovoltaic Technical Potential Assessment: Application to Sicilian Minor Islands," Energies, MDPI, vol. 15(15), pages 1-35, July.
    2. Alberto Vargiu & Riccardo Novo & Claudio Moscoloni & Enrico Giglio & Giuseppe Giorgi & Giuliana Mattiazzo, 2022. "An Energy Cost Assessment of Future Energy Scenarios: A Case Study on San Pietro Island," Energies, MDPI, vol. 15(13), pages 1-23, June.

    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. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    2. Rasmus Magni Johannsen & Poul Alberg Østergaard & David Maya-Drysdale & Louise Krog Elmegaard Mouritsen, 2021. "Designing Tools for Energy System Scenario Making in Municipal Energy Planning," Energies, MDPI, vol. 14(5), pages 1-17, March.
    3. Pablo-Romero, María del P. & Pozo-Barajas, Rafael & Sánchez-Braza, Antonio, 2016. "Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia," Energy Policy, Elsevier, vol. 99(C), pages 12-26.
    4. von Gunten Diane & Fabien Poumadère & Marc Bungener & Damien Chiffelle, 2021. "Implementation of Local Energy Plans in Western Switzerland: Survey of the Current State and Possible Paths Forward," Sustainability, MDPI, vol. 13(19), pages 1-16, October.
    5. -, 2023. "Foreign Direct Investment in Latin America and the Caribbean 2023," La Inversión Extranjera Directa en América Latina y el Caribe, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 48979 edited by Eclac, September.
    6. David Drysdale & Brian Vad Mathiesen & Henrik Lund, 2019. "From Carbon Calculators to Energy System Analysis in Cities," Energies, MDPI, vol. 12(12), pages 1-21, June.
    7. Behroozeh, Samira & Hayati, Dariush & Karami, Ezatollah, 2022. "Determining and validating criteria to measure energy consumption sustainability in agricultural greenhouses," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    8. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.
    9. Muhammad Riaz & Wojciech Sałabun & Hafiz Muhammad Athar Farid & Nawazish Ali & Jarosław Wątróbski, 2020. "A Robust q-Rung Orthopair Fuzzy Information Aggregation Using Einstein Operations with Application to Sustainable Energy Planning Decision Management," Energies, MDPI, vol. 13(9), pages 1-39, May.
    10. Gunnarsdottir, I. & Davidsdottir, B. & Worrell, E. & Sigurgeirsdottir, S., 2022. "Indicators for sustainable energy development: An Icelandic case study," Energy Policy, Elsevier, vol. 164(C).
    11. Luis Sarmiento & Thorsten Burandt & Konstantin Löffler & Pao-Yu Oei, 2019. "Analyzing Scenarios for the Integration of Renewable Energy Sources in the Mexican Energy System—An Application of the Global Energy System Model (GENeSYS-MOD)," Energies, MDPI, vol. 12(17), pages 1-24, August.
    12. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    13. Gohdes, Nicholas & Simshauser, Paul & Wilson, Clevo, 2022. "Renewable entry costs, project finance and the role of revenue quality in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 114(C).
    14. Huang, Zishuo & Yu, Hang & Chu, Xiangyang & Peng, Zhenwei, 2017. "A goal programming based model system for community energy plan," Energy, Elsevier, vol. 134(C), pages 893-901.
    15. Lobaccaro, G. & Croce, S. & Lindkvist, C. & Munari Probst, M.C. & Scognamiglio, A. & Dahlberg, J. & Lundgren, M. & Wall, M., 2019. "A cross-country perspective on solar energy in urban planning: Lessons learned from international case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 209-237.
    16. Beuse, Martin & Dirksmeier, Mathias & Steffen, Bjarne & Schmidt, Tobias S., 2020. "Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia," Applied Energy, Elsevier, vol. 271(C).
    17. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
    18. Magdalena Tutak & Jarosław Brodny & Dominika Siwiec & Robert Ulewicz & Peter Bindzár, 2020. "Studying the Level of Sustainable Energy Development of the European Union Countries and Their Similarity Based on the Economic and Demographic Potential," Energies, MDPI, vol. 13(24), pages 1-31, December.
    19. Zhu, Weiwei & Yu, Yu & Sun, Panpan, 2018. "Data envelopment analysis cross-like efficiency model for non-homogeneous decision-making units: The case of United States companies’ low-carbon investment to attain corporate sustainability," European Journal of Operational Research, Elsevier, vol. 269(1), pages 99-110.
    20. Huang, Zishuo & Yu, Hang & Chu, Xiangyang & Peng, Zhenwei, 2018. "A novel optimization model based on game tree for multi-energy conversion systems," Energy, Elsevier, vol. 150(C), pages 109-121.

    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:gam:jeners:v:15:y:2022:i:3:p:1103-:d:740717. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.