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Cost-Optimal Net Zero Energy Communities

Author

Listed:
  • Shabtai Isaac

    (Department of Structural Engineering, Ben Gurion University of the Negev, Beersheba 84105, Israel)

  • Slava Shubin

    (Unit of Energy Engineering, Ben Gurion University of the Negev, Beersheba 84105, Israel)

  • Gad Rabinowitz

    (Department of Industrial Engineering and Management, Ben Gurion University of the Negev, Beersheba 84105, Israel)

Abstract

The objective of this research is to study the cost of Net Zero Energy (NZE) communities of different urban scales and densities, while taking into consideration the local climate and the type of buildings in the community. A comprehensive model was developed for this purpose, with which the cost-optimal configuration of renewable energy-related technologies for an NZE community can be identified. To validate the model, data from two case studies that differed in their climate and building types were used. The results of this study contribute to a better understanding of the implications of NZE requirements for urban planning. An increase in the scale of a community was found to reduce energy costs, up to a certain point. Urban density, on the other hand, was found to have a more complex impact on costs, which depends on the local climate of the community and the subsequent energy demand. This underlines the importance of addressing the technological design of energy systems at the initial stage of the urban planning of energy-efficient communities, before the urban density, the unbuilt areas and the building types are set.

Suggested Citation

  • Shabtai Isaac & Slava Shubin & Gad Rabinowitz, 2020. "Cost-Optimal Net Zero Energy Communities," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2432-:d:334739
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    References listed on IDEAS

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    Cited by:

    1. Bernadette Fina & Miriam Schwebler & Carolin Monsberger, 2022. "Different Technologies’ Impacts on the Economic Viability, Energy Flows and Emissions of Energy Communities," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    2. Christoph Bahret & Ludger Eltrop, 2021. "Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods," Energies, MDPI, vol. 14(16), pages 1-16, August.
    3. Sebastian Zwickl-Bernhard & Hans Auer, 2021. "Citizen Participation in Low-Carbon Energy Systems: Energy Communities and Its Impact on the Electricity Demand on Neighborhood and National Level," Energies, MDPI, vol. 14(2), pages 1-22, January.
    4. Bjelland, David & Brozovsky, Johannes & Hrynyszyn, Bozena Dorota, 2024. "Systematic review: Upscaling energy retrofitting to the multi-building level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    5. Mariuzzo, Ivan & Fina, Bernadette & Stroemer, Stefan & Raugi, Marco, 2024. "Economic assessment of multiple energy community participation," Applied Energy, Elsevier, vol. 353(PA).

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