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Multi-dimensions optimization for optimum modifications of light-shelves parameters for daylighting and energy efficiency

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Abstract

The greatest role in the building design is to optimize the use of natural daylight harvests to ensure human comfort and energy usage. This research aims to introduce an optimized office workspace that meets both daylight availability and energy efficiency. Honeybee and Ladybug plugins for grasshopper parametric software is utilized to simulate daylight and energy where multi-objective genetic optimization using non-dominated sorting genetic algorithms method is explored with octopus plugin, which is able to provide the best overall solution as a trade-off for multiple and conflicting design objectives simultaneously. The optimization focused on single-objective which shows major differences between daylight availability and energy efficiency while optimization for multi-objective together proved to be an efficient tool to research the trade-offs between the two contradictory objectives. The final best optimum balanced solutions can improve the sDA300/50% by decreasing with an average of −11.88%, −2.34%, −5.94%, and −20.78%, while the UDI300-2000 lx increased with an average by 39.39%, 29.23%, 46.17%, and 19.40%. The energy efficiency is slightly increased by + 1.33%, −0.61%, + 1.33%, and + 1.29%, in March, June, September, and December, respectively, compared to the reference model.

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Acknowledgements

This research was financially supported by King Saud University, Vice Deanship of Research Chairs.

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Authors and Affiliations

  1. School of Housing, Building and Planning, Universiti Sains Malaysia, 11800, Penang, Malaysia

    A. A. S. Bahdad, S. F. S. Fadzil & H. O. Onubi

  2. Department of Architectural Engineering and Environmental Planning, College of Engineering and Petroleum, Hadhramout University (HU), Mukalla, Yemen

    A. A. S. Bahdad

  3. Prince Sultan Bin Salman Chair for Architectural Heritage, King Saud University, Riyadh, Kingdom of Saudi Arabia

    S. A. BenLasod

Authors
  1. A. A. S. Bahdad
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  2. S. F. S. Fadzil
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  3. H. O. Onubi
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Contributions

Ali Ahmed Salem Bahdad: Methodology, Simulation, Writing-Original draft preparation, investigation and data analysis, Sharifah Fairuz Syed Fadzil: Conceptualization, methodology, supervision, Hilary Omatule Onubi and Saleh Ahmed BenLasod: Reviewing and Editing.

Corresponding author

Correspondence to A. A. S. Bahdad.

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The authors declare that they have no conflict of interests.

Additional information

Editorial responsibility: Shahid Hussain.

Appendix

Appendix

Tables 8, 9, and 10 presented the optimum parameters values of selected solutions.

Table 8 Optimum parameters values of LS in all optimum solutions for sDA and UDI
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Table 9 Optimum parameters values of LS in all optimum solutions for EUI
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Table 10 Optimum parameters values of LS in all optimum solutions for best balanced UDI, sDA, and EUI
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Bahdad, A.A.S., Fadzil, S.F.S., Onubi, H.O. et al. Multi-dimensions optimization for optimum modifications of light-shelves parameters for daylighting and energy efficiency. Int. J. Environ. Sci. Technol. 19, 2659–2676 (2022). https://doi.org/10.1007/s13762-021-03328-9

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  • DOI: https://doi.org/10.1007/s13762-021-03328-9

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