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Curve Optimization for the Anidolic Daylight System Counterbalancing Energy Saving, Indoor Visual and Thermal Comfort for Sydney Dwellings

Author

Listed:
  • Ehsan Sorooshnia

    (Centre for Infrastructure Engineering, School of Engineering, Design and Built Environment, Kingswood, NSW 2747, Australia)

  • Payam Rahnamayiezekavat

    (Parramatta South Campus, Western Sydney University, Sydney, NSW 2116, Australia)

  • Maria Rashidi

    (Centre for Infrastructure Engineering, School of Engineering, Design and Built Environment, Kingswood, NSW 2747, Australia)

  • Mahsan Sadeghi

    (Energy Business Unit, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton South, VIC 3169, Australia
    Centre for Air Pollution, Energy, and Health Research, Sydney, NSW 2037, Australia)

  • Bijan Samali

    (Centre for Infrastructure Engineering, School of Engineering, Design and Built Environment, Kingswood, NSW 2747, Australia)

Abstract

Daylight penetration significantly affects building thermal-daylighting performance, and serve a dual function of permitting sunlight and creating a pleasant indoor environment. More recent attention has focused on the provision of daylight in the rear part of indoor spaces in designing sustainable buildings. Passive Anidolic Daylighting Systems (ADS) are effective tools for daylight collection and redistribution of sunlight towards the back of the room. As affordable and low-maintenance systems, they can provide indoor daylight and alleviate the problem of daylight over-provision near the window and under-provision in the rear part of the room. Much of the current literature on the ADS pays particular attention to visual comfort and rarely to thermal comfort. Therefore, a reasonable compromise between visual and thermal comfort as well as energy consumption becomes the main issue for energy-optimized aperture design in the tropics and subtropics, in cities such as Sydney, Australia. The objective of the current study was to devise a system that could act as a double-performance of shade and reflective tool. The central aim of this paper is to find the optimum curve that can optimize daylight admission without an expensive active tracking system. A combination of in-detail simulation (considering every possible sky condition throughout a year) and multi-objective optimization (considering indoor visual and thermal comfort as well as the view to the outside), which was validated by field measurement, resulted in the optimum ADS for the local dwellings in Sydney, Australia. An approximate 62% increase in Daylight Factor, 5% decrease in yearly average heating load, 17% savings in annual artificial lighting energy, and 30% decrease in Predicted Percentage Dissatisfied (PPD) were achieved through optimizing the ADS curve.

Suggested Citation

  • Ehsan Sorooshnia & Payam Rahnamayiezekavat & Maria Rashidi & Mahsan Sadeghi & Bijan Samali, 2023. "Curve Optimization for the Anidolic Daylight System Counterbalancing Energy Saving, Indoor Visual and Thermal Comfort for Sydney Dwellings," Energies, MDPI, vol. 16(3), pages 1-30, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1090-:d:1040557
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    References listed on IDEAS

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    1. Vincenzo Costanzo & Gianpiero Evola & Luigi Marletta & Fabiana Pistone Nascone, 2018. "Application of Climate Based Daylight Modelling to the Refurbishment of a School Building in Sicily," Sustainability, MDPI, vol. 10(8), pages 1-19, July.
    2. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
    3. Mimi Ravn & Gabriela Mach & Ellen Kathrine Hansen & Georgios Triantafyllidis, 2022. "Simulating Physiological Potentials of Daylight Variables in Lighting Design," Sustainability, MDPI, vol. 14(2), pages 1-12, January.
    4. Domenico Campisi & Simone Gitto & Donato Morea, 2018. "An Evaluation of Energy and Economic Efficiency in Residential Buildings Sector: A Multi-criteria Analisys on an Italian Case Study," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 185-196.
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