IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v156y2020icp1278-1291.html
   My bibliography  Save this article

Local energy system design support using a renewable energy mix multi-objective optimization model and a co-creative optimization process

Author

Listed:
  • Hori, Keiko
  • Kim, Jaegyu
  • Kawase, Reina
  • Kimura, Michinori
  • Matsui, Takanori
  • Machimura, Takashi

Abstract

When developing a sustainable local energy system, it is useful to apply backcasting to help select an appropriate renewable energy mix based on an evaluation by diverse stakeholders of multiple possible implementation impacts. The purpose of this study was to propose a co-creative design support method for local energy systems that includes (1) participatory development of a local future vision, (2) quantitative projection of future energy demand coupled with future vision, (3) multi-objective optimization of a regional renewable energy mix consistent with the future vision, and (4) a co-creative optimization process that encompasses local resident preferences. A case study in Takashima, Shiga Prefecture, Japan, was conducted in collaboration with the Takashima Community Promotion Council to test the proposed method. A participatory workshop was conducted with nine officers and 16 citizens to design a qualitative future vision for 2040. This vision was then quantified and the future energy demand was projected using the Extended Snapshot Tool model. Pareto solutions for an optimal renewable energy mix were visualized using the Renewable Energy Regional Optimization Utility Tool for Environmental Sustainability with a multi-objective evolutionary algorithm. One optimal solution was interactively selected according to the preferences of local residents surveyed using a pairwise comparison questionnaire. The proposed method was demonstrated to successfully derive an optimal renewable energy mix for Takashima using backcasting. In addition, it was shown to be a useful method for the co-creation of local energy systems.

Suggested Citation

  • Hori, Keiko & Kim, Jaegyu & Kawase, Reina & Kimura, Michinori & Matsui, Takanori & Machimura, Takashi, 2020. "Local energy system design support using a renewable energy mix multi-objective optimization model and a co-creative optimization process," Renewable Energy, Elsevier, vol. 156(C), pages 1278-1291.
  • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:1278-1291
    DOI: 10.1016/j.renene.2019.11.089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119317823
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2019.11.089?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. Capaccioli, Andrea & Poderi, Giacomo & Bettega, Mela & D'Andrea, Vincenzo, 2017. "Exploring participatory energy budgeting as a policy instrument to foster energy justice," Energy Policy, Elsevier, vol. 107(C), pages 621-630.
    2. Carney, Sebastian & Shackley, Simon, 2009. "The greenhouse gas regional inventory project (GRIP): Designing and employing a regional greenhouse gas measurement tool for stakeholder use," Energy Policy, Elsevier, vol. 37(11), pages 4293-4302, November.
    3. Belmonte, Silvina & Escalante, Karina Natalia & Franco, Judith, 2015. "Shaping changes through participatory processes: Local development and renewable energy in rural habitats," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 278-289.
    4. Kowalski, Katharina & Stagl, Sigrid & Madlener, Reinhard & Omann, Ines, 2009. "Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1063-1074, September.
    5. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, April.
    6. Kadziński, MiŁosz & Greco, Salvatore & SŁowiński, Roman, 2012. "Extreme ranking analysis in robust ordinal regression," Omega, Elsevier, vol. 40(4), pages 488-501.
    7. Hori, Keiko & Matsui, Takanori & Hasuike, Takashi & Fukui, Ken-ichi & Machimura, Takashi, 2016. "Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES," Renewable Energy, Elsevier, vol. 93(C), pages 548-561.
    8. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    9. Upham, Paul & Klapper, Rita & Carney, Sebastian, 2016. "Participatory energy scenario development as dramatic scripting: A structural narrative analysis," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 47-56.
    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. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
    2. Mayer, Martin János & Biró, Bence & Szücs, Botond & Aszódi, Attila, 2023. "Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning," Applied Energy, Elsevier, vol. 336(C).
    3. Amita Singh & Jannicke Baalsrud Hauge & Magnus Wiktorsson, 2021. "Simulation-Based Participatory Modelling in Urban and Production Logistics: A Review on Advances and Trends," Sustainability, MDPI, vol. 14(1), pages 1-21, December.
    4. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.
    5. Khrisydel Rhea M. Supapo & Lorafe Lozano & Ian Dominic F. Tabañag & Edward M. Querikiol, 2022. "A Backcasting Analysis toward a 100% Renewable Energy Transition by 2040 for Off-Grid Islands," Energies, MDPI, vol. 15(13), pages 1-19, June.
    6. Karaaslan, Abdulkerim & Gezen, Mesliha, 2022. "The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient," Renewable Energy, Elsevier, vol. 182(C), pages 842-854.

    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. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
    2. Merad, Myriam & Dechy, Nicolas & Serir, Lisa & Grabisch, Michel & Marcel, Frédéric, 2013. "Using a multi-criteria decision aid methodology to implement sustainable development principles within an organization," European Journal of Operational Research, Elsevier, vol. 224(3), pages 603-613.
    3. Charikleia Karakosta, 2016. "A Holistic Approach for Addressing the Issue of Effective Technology Transfer in the Frame of Climate Change," Energies, MDPI, vol. 9(7), pages 1-20, June.
    4. Alessio Ishizaka & Philippe Nemery, 2013. "A Multi-Criteria Group Decision Framework for Partner Grouping When Sharing Facilities," Group Decision and Negotiation, Springer, vol. 22(4), pages 773-799, July.
    5. Höfer, Tim & Madlener, Reinhard, 2020. "A participatory stakeholder process for evaluating sustainable energy transition scenarios," Energy Policy, Elsevier, vol. 139(C).
    6. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    7. Marta Bottero & Chiara D’Alpaos & Alessandra Oppio, 2019. "Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    8. Hurson, Christian & Siskos, Yannis, 2014. "A synergy of multicriteria techniques to assess additive value models," European Journal of Operational Research, Elsevier, vol. 238(2), pages 540-551.
    9. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    10. Ciomek, Krzysztof & Kadziński, Miłosz & Tervonen, Tommi, 2017. "Heuristics for prioritizing pair-wise elicitation questions with additive multi-attribute value models," Omega, Elsevier, vol. 71(C), pages 27-45.
    11. Ciomek, Krzysztof & Kadziński, Miłosz & Tervonen, Tommi, 2017. "Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 693-707.
    12. Rocío Cóndor & Antonino Scarelli & Riccardo Valentini, 2011. "Multicriteria Decision Aid to support Multilateral Environmental Agreements in assessing international forestry projects," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 11(2), pages 117-137, May.
    13. Simone Steinhilber & Jutta Geldermann & Martin Wietschel, 2016. "Renewables in the EU after 2020: a multi-criteria decision analysis in the context of the policy formation process," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(1), pages 119-155, June.
    14. Silvia Angilella & Marta Bottero & Salvatore Corrente & Valentina Ferretti & Salvatore Greco & Isabella M. Lami, 2016. "Non Additive Robust Ordinal Regression for urban and territorial planning: an application for siting an urban waste landfill," Annals of Operations Research, Springer, vol. 245(1), pages 427-456, October.
    15. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    16. Bouyssou, Denis & Marchant, Thierry, 2015. "On the relations between ELECTRE TRI-B and ELECTRE TRI-C and on a new variant of ELECTRE TRI-B," European Journal of Operational Research, Elsevier, vol. 242(1), pages 201-211.
    17. Garmendia, Eneko & Gamboa, Gonzalo, 2012. "Weighting social preferences in participatory multi-criteria evaluations: A case study on sustainable natural resource management," Ecological Economics, Elsevier, vol. 84(C), pages 110-120.
    18. Liu, Jiapeng & Liao, Xiuwu & Zhao, Wenhong & Yang, Na, 2016. "A classification approach based on the outranking model for multiple criteria ABC analysis," Omega, Elsevier, vol. 61(C), pages 19-34.
    19. Marinakis, Vangelis & Doukas, Haris & Xidonas, Panos & Zopounidis, Constantin, 2017. "Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the Sustainable Energy Action Plan," Omega, Elsevier, vol. 69(C), pages 1-16.
    20. Spyridaki, Niki-Artemis & Banaka, Stefania & Flamos, Alexandros, 2016. "Evaluating public policy instruments in the Greek building sector," Energy Policy, Elsevier, vol. 88(C), pages 528-543.

    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:renene:v:156:y:2020:i:c:p:1278-1291. 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.journals.elsevier.com/renewable-energy .

    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.