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Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale

Author

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  • Fahad Haneef

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy)

  • Giovanni Pernigotto

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy)

  • Andrea Gasparella

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy)

  • Jérôme Henri Kämpf

    (Energy Informatics Group, Idiap Research Institute, 1920 Martigny, Switzerland)

Abstract

Nearly-zero energy buildings are now a standard for new constructions. However, the real challenge for a decarbonized society relies in the renovation of the existing building stock, selecting energy efficiency measures considering not only the energy performance but also the economic and sustainability ones. Even if the literature is full of examples coupling building energy simulation with multi-objective optimization for the identification of the best measures, the adoption of such approaches is still limited for district and urban scale simulation, often because of lack of complete data inputs and high computational requirements. In this research, a new methodology is proposed, combining the detailed geometric characterization of urban simulation tools with the simplification provided by “ building archetype ” modeling, in order to ensure the development of robust models for the multi-objective optimization of retrofit interventions at district scale. Using CitySim as an urban scale energy modeling tool, a residential district built in the 1990s in Bolzano, Italy, was studied. Different sets of renovation measures for the building envelope and three objectives —i.e., energy, economic and sustainability performances, were compared. Despite energy savings from 29 to 46%, energy efficiency measures applied just to the building envelope were found insufficient to meet the carbon neutrality goals without interventions to the system, in particular considering mechanical ventilation with heat recovery. Furthermore, public subsidization has been revealed to be necessary, since none of the proposed measures is able to pay back the initial investment for this case study.

Suggested Citation

  • Fahad Haneef & Giovanni Pernigotto & Andrea Gasparella & Jérôme Henri Kämpf, 2021. "Application of Urban Scale Energy Modelling and Multi-Objective Optimization Techniques for Building Energy Renovation at District Scale," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11554-:d:659993
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    References listed on IDEAS

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    1. Federico Battini & Giovanni Pernigotto & Federica Morandi & Andrea Gasparella & Jérôme Henri Kämpf, 2023. "Assessment of Subsidization Strategies for Multi-Objective Optimization of Energy Efficiency Measures for Building Renovation at District Scale," Energies, MDPI, vol. 16(15), pages 1-23, August.

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