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A GIS-Based Multicriteria Assessment for Identification of Positive Energy Districts Boundary in Cities

Author

Listed:
  • Beril Alpagut

    (Demir Energy, Smart and Sustainable Cities Department, Istanbul 34718, Turkey)

  • Arantza Lopez Romo

    (Tecnalia, Basque Research and Technology Alliance (BRTA), 48160 Derio, Spain)

  • Patxi Hernández

    (Tecnalia, Basque Research and Technology Alliance (BRTA), 48160 Derio, Spain)

  • Oya Tabanoğlu

    (Demir Energy, Smart and Sustainable Cities Department, Istanbul 34718, Turkey)

  • Nekane Hermoso Martinez

    (Tecnalia, Basque Research and Technology Alliance (BRTA), 48160 Derio, Spain)

Abstract

Discussions regarding the definition of Positive Energy Districts and the concept of a boundary are still being actively held. Even though there are certain initiatives working on the boundary limitations for PEDs, there is no methodology or tool developed for selecting peculiar spaces for future PED implementations. The paper focuses on a flexible GIS-based Multicriteria assessment method that identifies the most suitable areas to reach an annual positive non-renewable energy balance. For that purpose, a GIS-based tool is developed to indicate the boundary from an energy perspective harmonized with urban design and land-use planning. The method emphasizes evaluation through economic, social, political, legal, environmental, and technical criteria, and the results present the suitability of areas at macro and micro scales. The current study outlines macro-scale analyses in six European cities that represent Follower Cities under the MAKING-CITY H2020 project. Further research will be conducted for micro-scale analyses and the outcomes will pursue a technology selection process.

Suggested Citation

  • Beril Alpagut & Arantza Lopez Romo & Patxi Hernández & Oya Tabanoğlu & Nekane Hermoso Martinez, 2021. "A GIS-Based Multicriteria Assessment for Identification of Positive Energy Districts Boundary in Cities," Energies, MDPI, vol. 14(22), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7517-:d:676425
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    References listed on IDEAS

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    1. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    2. Jacopo Gaspari & Michaela De Giglio & Ernesto Antonini & Vincenzo Vodola, 2020. "A GIS-Based Methodology for Speedy Energy Efficiency Mapping: A Case Study in Bologna," Energies, MDPI, vol. 13(9), pages 1-19, May.
    3. Andrea Gabaldón Moreno & Fredy Vélez & Beril Alpagut & Patxi Hernández & Cecilia Sanz Montalvillo, 2021. "How to Achieve Positive Energy Districts for Sustainable Cities: A Proposed Calculation Methodology," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
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    Cited by:

    1. Ali Hainoun & Hans-Martin Neumann & Naomi Morishita-Steffen & Baptiste Mougeot & Étienne Vignali & Florian Mandel & Felix Hörmann & Sebastian Stortecky & Katharina Walter & Martin Kaltenhauser-Barth &, 2022. "Smarter Together: Monitoring and Evaluation of Integrated Building Solutions for Low-Energy Districts of Lighthouse Cities Lyon, Munich, and Vienna," Energies, MDPI, vol. 15(19), pages 1-26, September.
    2. Axel Bruck & Luca Casamassima & Ardak Akhatova & Lukas Kranzl & Kostas Galanakis, 2022. "Creating Comparability among European Neighbourhoods to Enable the Transition of District Energy Infrastructures towards Positive Energy Districts," Energies, MDPI, vol. 15(13), pages 1-21, June.
    3. Paola Clerici Maestosi, 2022. "Smart Cities and Positive Energy Districts: Urban Perspectives in 2021," Energies, MDPI, vol. 15(6), pages 1-5, March.
    4. Sassenou, L.-N. & Olivieri, L. & Olivieri, F., 2024. "Challenges for positive energy districts deployment: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

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