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An analysis of lighting energy savings and switching frequency for a daylit corridor under various indoor design illuminance levels

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  • Li, Danny H. W.
  • Lam, Joseph C.

Abstract

Visual comfort and electric lighting energy issues are essential criteria to justify daylighting schemes. The evaluation of energy efficiency due to daylight linked lighting control systems is best demonstrated by case studies. This paper presents field measurements on daylighting for a fully air-conditioned daylit corridor. Artificial lighting load, brightness of the fluorescent luminaires, daylight availability for various switching illuminance levels were systematically recorded and analyzed. The general features and characteristics of the findings including the number of switching operations and electric-lighting energy savings are presented and discussed. Daylighting theories, using cumulative frequency distribution of outdoor illuminance and regression models based on brightness of light output, outdoor illuminance and electric light power to estimate daylight-linked lighting control savings, have been developed and assessed. It has been found that data from both approaches show reasonably good agreements with measured results. The findings from this study provide some operational and energy information, which would be useful and applicable to other interior spaces with similar architectural designs.

Suggested Citation

  • Li, Danny H. W. & Lam, Joseph C., 2003. "An analysis of lighting energy savings and switching frequency for a daylit corridor under various indoor design illuminance levels," Applied Energy, Elsevier, vol. 76(4), pages 363-378, December.
    • Handle: RePEc:eee:appene:v:76:y:2003:i:4:p:363-378
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    References listed on IDEAS

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    1. Knight, IP, 1998. "Measured energy savings due to photocell control of individual luminaires," Renewable Energy, Elsevier, vol. 15(1), pages 441-444.
    2. Li, Danny H.W & Lam, Joseph C, 2000. "Measurements of solar radiation and illuminance on vertical surfaces and daylighting implications," Renewable Energy, Elsevier, vol. 20(4), pages 389-404.
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    1. Mangkuto, R.A. & Wang, S. & Meerbeek, B.W. & Aries, M.B.C. & van Loenen, E.J., 2014. "Lighting performance and electrical energy consumption of a virtual window prototype," Applied Energy, Elsevier, vol. 135(C), pages 261-273.
    2. Chow, Stanley K.H. & Li, Danny H.W. & Lee, Eric W.M. & Lam, Joseph C., 2013. "Analysis and prediction of daylighting and energy performance in atrium spaces using daylight-linked lighting controls," Applied Energy, Elsevier, vol. 112(C), pages 1016-1024.
    3. Jenkins, David & Newborough, Marcus, 2007. "An approach for estimating the carbon emissions associated with office lighting with a daylight contribution," Applied Energy, Elsevier, vol. 84(6), pages 608-622, June.
    4. Li, Danny H.W. & Cheung, K.L. & Wong, S.L. & Lam, Tony N.T., 2010. "An analysis of energy-efficient light fittings and lighting controls," Applied Energy, Elsevier, vol. 87(2), pages 558-567, February.
    5. Wang, Zhu & Wang, Lingfeng & Dounis, Anastasios I. & Yang, Rui, 2012. "Multi-agent control system with information fusion based comfort model for smart buildings," Applied Energy, Elsevier, vol. 99(C), pages 247-254.
    6. Li, Danny H.W. & Lam, Tony N.T. & Chan, Wilco W.H. & Mak, Ada H.L., 2009. "Energy and cost analysis of semi-transparent photovoltaic in office buildings," Applied Energy, Elsevier, vol. 86(5), pages 722-729, May.
    7. Salata, Ferdinando & Golasi, Iacopo & di Salvatore, Maicol & de Lieto Vollaro, Andrea, 2016. "Energy and reliability optimization of a system that combines daylighting and artificial sources. A case study carried out in academic buildings," Applied Energy, Elsevier, vol. 169(C), pages 250-266.
    8. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    9. Carlucci, Salvatore & Causone, Francesco & De Rosa, Francesco & Pagliano, Lorenzo, 2015. "A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1016-1033.
    10. Chel, Arvind & Tiwari, G.N. & Chandra, Avinash, 2009. "A model for estimation of daylight factor for skylight: An experimental validation using pyramid shape skylight over vault roof mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 86(11), pages 2507-2519, November.
    11. Mangkuto, Rizki A. & Rohmah, Mardliyahtur & Asri, Anindya Dian, 2016. "Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics," Applied Energy, Elsevier, vol. 164(C), pages 211-219.
    12. Chel, Arvind & Tiwari, G.N. & Singh, H.N., 2010. "A modified model for estimation of daylight factor for skylight integrated with dome roof structure of mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 87(10), pages 3037-3050, October.
    13. Mavromatidis, Lazaros Elias & Marsault, Xavier & Lequay, Hervé, 2014. "Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs," Energy, Elsevier, vol. 65(C), pages 488-502.

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