IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v84y2007i6p608-622.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(07)00019-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahn, Byung-Lip & Jang, Cheol-Yong & Leigh, Seung-Bok & Yoo, Seunghwan & Jeong, Hakgeun, 2014. "Effect of LED lighting on the cooling and heating loads in office buildings," Applied Energy, Elsevier, vol. 113(C), pages 1484-1489.
    2. Ochoa, Carlos E. & Aries, Myriam B.C. & van Loenen, Evert J. & Hensen, Jan L.M., 2012. "Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort," Applied Energy, Elsevier, vol. 95(C), pages 238-245.
    3. 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.
    4. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    5. Wang, Xiaoxin & Kendrick, Christopher & Ogden, Raymond & Walliman, Nicholas & Baiche, Bousmaha, 2013. "A case study on energy consumption and overheating for a UK industrial building with rooflights," Applied Energy, Elsevier, vol. 104(C), pages 337-344.
    6. Ye, Xianming & Xia, Xiaohua & Zhang, Jiangfeng, 2013. "Optimal sampling plan for clean development mechanism energy efficiency lighting projects," Applied Energy, Elsevier, vol. 112(C), pages 1006-1015.
    7. Li, Guiqiang & Xuan, Qingdong & Zhao, Xudong & Pei, Gang & Ji, Jie & Su, Yuehong, 2018. "A novel concentrating photovoltaic/daylighting control system: Optical simulation and preliminary experimental analysis," Applied Energy, Elsevier, vol. 228(C), pages 1362-1372.
    8. 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.
    9. Vasan, Arvind & Sood, Bhanu & Pecht, Michael, 2014. "Carbon footprinting of electronic products," Applied Energy, Elsevier, vol. 136(C), pages 636-648.
    10. 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.
    11. Li, Danny H.W. & Tsang, Ernest K.W. & Cheung, K.L. & Tam, C.O., 2010. "An analysis of light-pipe system via full-scale measurements," Applied Energy, Elsevier, vol. 87(3), pages 799-805, March.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Nasrollahi, Nazanin & Shokri, Elham, 2016. "Daylight illuminance in urban environments for visual comfort and energy performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 861-874.
    18. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. Janjai, S. & Prathumsit, J. & Buntoung, S. & Wattan, R. & Pattarapanitchai, S. & Masiri, I., 2014. "Modeling the luminous efficacy of direct and diffuse solar radiation using information on cloud, aerosol and water vapor in the tropics," Renewable Energy, Elsevier, vol. 66(C), pages 111-117.
    9. Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
    10. Navarro, J. & Sendra, J.J., 2008. "Determination of the origin of the illumination vector due to vertical windows under Moon-Spencer sky conditions (uniformly overcast)," Renewable Energy, Elsevier, vol. 33(1), pages 168-172.
    11. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    12. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    13. 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.
    14. Vassiliades, Constantinos & Michael, Aimilios & Savvides, Andreas & Kalogirou, Soteris, 2018. "Improvement of passive behaviour of existing buildings through the integration of active solar energy systems," Energy, Elsevier, vol. 163(C), pages 1178-1192.
    15. Košir, Mitja & Iglič, Nataša & Kunič, Roman, 2018. "Optimisation of heating, cooling and lighting energy performance of modular buildings in respect to location’s climatic specifics," Renewable Energy, Elsevier, vol. 129(PA), pages 527-539.
    16. 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.
    17. 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.
    18. 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.
    19. Ebrahimi-Moghadam, Amir & Ildarabadi, Paria & Aliakbari, Karim & Fadaee, Faramarz, 2020. "Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings," Renewable Energy, Elsevier, vol. 159(C), pages 736-755.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:84:y:2007:i:6:p:608-622. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.