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Investigation of the impact of residential mixture on energy and environmental performance of mixed use neighborhoods

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  • Hachem-Vermette, Caroline
  • Grewal, Kuljeet Singh

Abstract

This paper presents an innovative approach to assess the impact of land use mix and its density on various energy and environmental performance criteria, and to select optimal design solutions to meet the specific environmental criteria. Land use is defined using five neighborhood design variables, relating to the composition of different residential building types, their density, and the ratio of commercial to residential floor area. The studied energy and environmental impact include: energy consumption, photovoltaic (PV) energy generation, Waste to Energy potential (WtE) and Greenhouse Gas (GHG) emissions. Integrated mixture and full factorial based crossed statistical design is employed to develop correlations relating design variables to energy and environmental response variables. In addition, a genetic algorithm (GA) based multi-objective optimization is carried out to simultaneously optimize the five performance parameters. This is followed by the application of a selection procedure based on decision making score (DMS) to select best combinations associated with designated priorities.

Suggested Citation

  • Hachem-Vermette, Caroline & Grewal, Kuljeet Singh, 2019. "Investigation of the impact of residential mixture on energy and environmental performance of mixed use neighborhoods," Applied Energy, Elsevier, vol. 241(C), pages 362-379.
    • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:362-379
    DOI: 10.1016/j.apenergy.2019.03.030
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    Cited by:

    1. Natanian, Jonathan & Aleksandrowicz, Or & Auer, Thomas, 2019. "A parametric approach to optimizing urban form, energy balance and environmental quality: The case of Mediterranean districts," Applied Energy, Elsevier, vol. 254(C).
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    3. Singh, Kuljeet & Hachem-Vermette, Caroline, 2021. "Economical energy resource planning to promote sustainable urban design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. Caroline Hachem-Vermette & Somil Yadav, 2023. "Impact of Power Interruption on Buildings and Neighborhoods and Potential Technical and Design Adaptation Methods," Sustainability, MDPI, vol. 15(21), pages 1-26, October.
    5. Singh, Kuljeet & Hachem-Vermette, Caroline, 2019. "Influence of mixed-use neighborhood developments on the performance of waste-to-energy CHP plant," Energy, Elsevier, vol. 189(C).
    6. Larrea-Sáez, Lorena & Muñoz, Enrique & Cuevas, Cristian & Casas-Ledón, Yannay, 2024. "Optimizing insulation and heating systems for social housing in Chile: Insights for sustainable energy policies," Energy, Elsevier, vol. 290(C).
    7. Shi, Zhongming & Fonseca, Jimeno A. & Schlueter, Arno, 2021. "A parametric method using vernacular urban block typologies for investigating interactions between solar energy use and urban design," Renewable Energy, Elsevier, vol. 165(P1), pages 823-841.
    8. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).

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