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Developing an optimization methodology for urban energy resources mix

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  • Hachem-Vermette, Caroline
  • Singh, Kuljeet

Abstract

This paper proposes a methodology to optimize the mixture of renewable and alternative energy resources, according to various neighborhood concepts, renewable energy settings and energy sources employed for the operation of buildings. Two neighborhood concepts are explored- a standalone neighborhood, which is independent from the local grid, and a grid-tied neighborhood, which can supply electricity to the grid as well as draw from it, depending on available energy generation from other sources. Renewable energy sources employed in the study consist of photovoltaic technology as well as wind turbines, while alternative energy sources consist of waste to energy. The proposed methodology is applied to a hypothetical mixed-use neighborhood representing a cold northern climate.

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  • Hachem-Vermette, Caroline & Singh, Kuljeet, 2020. "Developing an optimization methodology for urban energy resources mix," Applied Energy, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:appene:v:269:y:2020:i:c:s030626192030578x
    DOI: 10.1016/j.apenergy.2020.115066
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    Cited by:

    1. Caroline Hachem-Vermette & Kuljeet Singh, 2022. "Energy Systems and Energy Sharing in Traditional and Sustainable Archetypes of Urban Developments," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
    2. 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.
    3. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    4. Hachem-Vermette, Caroline & Singh, Kuljeet, 2022. "Optimization of energy resources in various building cluster archetypes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).

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