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Simulation-based design optimization of houses with low grid dependency

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  • Mohammadi, Zahra
  • Hoes, Pieter Jan
  • Hensen, Jan L.M.

Abstract

There is a significant growth in the utilization of renewable energy in the built environment. Due to the intermittent nature of most renewable energy sources, energy mismatch problems between on-site generation and demand both in hourly and seasonal levels is unavoidable. In addition, energy-pricing policies are leading to less or no Photovoltaic (PV) feed-in-tariffs in the near future and/or even providing incentives to uphold self-consumption. Therefore, it is essential to enhance the building designs in a way to improve the utilization of on-site generated energy and to decrease the dependency on the nearby energy grid.

Suggested Citation

  • Mohammadi, Zahra & Hoes, Pieter Jan & Hensen, Jan L.M., 2020. "Simulation-based design optimization of houses with low grid dependency," Renewable Energy, Elsevier, vol. 157(C), pages 1185-1202.
    • Handle: RePEc:eee:renene:v:157:y:2020:i:c:p:1185-1202
    DOI: 10.1016/j.renene.2020.04.157
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    Cited by:

    1. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
    2. Ferrara, Maria & Della Santa, Francesco & Bilardo, Matteo & De Gregorio, Alessandro & Mastropietro, Antonio & Fugacci, Ulderico & Vaccarino, Francesco & Fabrizio, Enrico, 2021. "Design optimization of renewable energy systems for NZEBs based on deep residual learning," Renewable Energy, Elsevier, vol. 176(C), pages 590-605.

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