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An approach for estimating the carbon emissions associated with office lighting with a daylight contribution

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  • Jenkins, David
  • Newborough, Marcus

Abstract

A method is proposed for estimating the electricity consumption (and associated carbon emissions) of a defined electrical-lighting configuration in an office building, accounting for the daylight contribution from windows and rooflights. Heat gains due to lighting for an average day in each month may be used to aid assessments of the effect of lighting systems on the cooling load, known to be high for office environments. For a typical 6-storey office building, annual energy savings for lighting of 56-62% and a reduction in CO2 emissions of nearly 3 tonnes are predicted by changing the lighting and daylighting specifications for a defined "2005" scenario to those of a low-carbon "2030" scenario. The associated reduction in peak lighting-load, and hence heat gain due to lighting, is 3Â W/m2.

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  • 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.
    • Handle: RePEc:eee:appene:v:84:y:2007:i:6:p:608-622
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    References listed on IDEAS

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    1. Betman, Ernesto, 2005. "Daylight calculations using constant luminance curves," Renewable Energy, Elsevier, vol. 30(2), pages 241-257.
    2. Greenup, P & Bell, J.M & Moore, I, 2001. "The importance of interior daylight distribution in buildings on overall energy performance," Renewable Energy, Elsevier, vol. 22(1), pages 45-52.
    3. 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.
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    6. 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.
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    8. Roberto Vergallo & Teodoro D’Alò & Luca Mainetti & Roberto Paiano & Sara Matino, 2024. "Evaluating Sustainable Digitalization: A Carbon-Aware Framework for Enhancing Eco-Friendly Business Process Reengineering," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
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    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. Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2022. "Multicriteria decision aid analysis for the optimum performance of an ambient light sensor: methodology and case study," Operational Research, Springer, vol. 22(2), pages 1333-1361, April.
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    17. Aiman Albatayneh & Adel Juaidi & Ramez Abdallah & Francisco Manzano-Agugliaro, 2021. "Influence of the Advancement in the LED Lighting Technologies on the Optimum Windows-to-Wall Ratio of Jordanians Residential Buildings," Energies, MDPI, vol. 14(17), pages 1-20, September.
    18. Chong, Kok-Keong & Onubogu, Nneka Obianuju & Yew, Tiong-Keat & Wong, Chee-Woon & Tan, Woei-Chong, 2017. "Design and construction of active daylighting system using two-stage non-imaging solar concentrator," Applied Energy, Elsevier, vol. 207(C), pages 45-60.
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