IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v113y2014icp1484-1489.html
   My bibliography  Save this article

Effect of LED lighting on the cooling and heating loads in office buildings

Author

Listed:
  • Ahn, Byung-Lip
  • Jang, Cheol-Yong
  • Leigh, Seung-Bok
  • Yoo, Seunghwan
  • Jeong, Hakgeun

Abstract

LED lighting has the potential to provide energy savings, and in many countries, there are policies to encourage its use owing to its higher efficiency and longer life in comparison to other lighting fixtures. However, since 75–85% of the light electric power in LED lights is still generated as heat, the sole use of LED lighting in a building could have a negative effect on the cooling load. In this paper, we study the heating properties of LED lighting and establish a management strategy to exploit these properties to reduce the energy used for heating and cooling of buildings. Using a simulation program, the energy consumption of the Green Building in Daejeon, Korea, and the virtual building provided by the U.S. Department of Energy (DOE) was computed according for different light fixtures. A control strategy is more applicable to LED lighting than to general fluorescent lighting, especially for the cooling of a building, because the use of a return-air duct and the heat sinks on the LED fixtures allow the heat to be better directed. Deployment of LED lights in combination with such a control strategy can help to increase the energy efficiency of a building.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1484-1489
    DOI: 10.1016/j.apenergy.2013.08.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913006946
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2013.08.050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Khan, N. & Abas, N., 2011. "Comparative study of energy saving light sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 296-309, January.
    2. 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.
    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. Giovani Almeida Dávi & José López de Asiain & Juan Solano & Estefanía Caamaño-Martín & César Bedoya, 2017. "Energy Refurbishment of an Office Building with Hybrid Photovoltaic System and Demand-Side Management," Energies, MDPI, vol. 10(8), pages 1-24, August.
    2. Abdel-Salam, Mohamed R.H. & Fauchoux, Melanie & Ge, Gaoming & Besant, Robert W. & Simonson, Carey J., 2014. "Expected energy and economic benefits, and environmental impacts for liquid-to-air membrane energy exchangers (LAMEEs) in HVAC systems: A review," Applied Energy, Elsevier, vol. 127(C), pages 202-218.
    3. Lee, Naeun & Kim, Jonghun & Jang, Cheolyong & Sung, Yoondong & Jeong, Hakgeun, 2015. "Comparison of sensorless dimming control based on building modeling and solar power generation," Energy, Elsevier, vol. 81(C), pages 15-20.
    4. Ali Mohammed AL-Dossary & Daeung Danny Kim, 2020. "A Study of Design Variables in Daylight and Energy Performance in Residential Buildings under Hot Climates," Energies, MDPI, vol. 13(21), pages 1-16, November.
    5. Wan Mohd Nazi, Wan Iman & Royapoor, Mohammad & Wang, Yaodong & Roskilly, Anthony Paul, 2017. "Office building cooling load reduction using thermal analysis method – A case study," Applied Energy, Elsevier, vol. 185(P2), pages 1574-1584.
    6. Byung-Lip Ahn & Ji-Woo Park & Seunghwan Yoo & Jonghun Kim & Seung-Bok Leigh & Cheol-Yong Jang, 2015. "Savings in Cooling Energy with a Thermal Management System for LED Lighting in Office Buildings," Energies, MDPI, vol. 8(7), pages 1-14, June.
    7. Byung-Lip Ahn & Ji-Woo Park & Seunghwan Yoo & Jonghun Kim & Hakgeun Jeong & Seung-Bok Leigh & Cheol-Yong Jang, 2015. "Synergetic Effect between Lighting Efficiency Enhancement and Building Energy Reduction Using Alternative Thermal Operating System of Indoor LED Lighting," Energies, MDPI, vol. 8(8), pages 1-13, August.
    8. 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.
    9. Mohammad AlHashmi & Gyan Chhipi-Shrestha & Rajeev Ruparathna & Kh Md Nahiduzzaman & Kasun Hewage & Rehan Sadiq, 2021. "Energy Performance Assessment Framework for Residential Buildings in Saudi Arabia," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    10. 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.
    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.
    12. Van Thillo, L. & Verbeke, S. & Audenaert, A., 2022. "The potential of building automation and control systems to lower the energy demand in residential buildings: A review of their performance and influencing parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Sulee Bunjongjit & Atthapol Ngaopitakkul, 2018. "Feasibility Study and Impact of Daylight on Illumination Control for Energy-Saving Lighting Systems," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    14. Lee, Junghun & Yoo, Seunghwan & Kim, Jonghun & Song, Doosam & Jeong, Hakgeun, 2018. "Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response," Energy, Elsevier, vol. 144(C), pages 1052-1063.
    15. Ružena Králiková & Laura Džuňová & Ervin Lumnitzer & Miriama Piňosová, 2022. "Simulation of Artificial Lighting Using Leading Software to Evaluate Lighting Conditions in the Absence of Daylight in a University Classroom," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    16. 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.
    17. Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2021. "A decision support system for techno-economic evaluation of indoor lighting systems with LED luminaires," Operational Research, Springer, vol. 21(2), pages 1403-1422, June.

    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. 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.
    2. 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.
    3. Azcarate, I. & Gutierrez, J.J. & Lazkano, A. & Saiz, P. & Redondo, K. & Leturiondo, L.A., 2016. "Towards limiting the sensitivity of energy-efficient lighting to voltage fluctuations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1384-1395.
    4. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    5. Igual, R. & Medrano, C., 2020. "Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    6. McMeekin, Andrew & Geels, Frank W. & Hodson, Mike, 2019. "Mapping the winds of whole system reconfiguration: Analysing low-carbon transformations across production, distribution and consumption in the UK electricity system (1990–2016)," Research Policy, Elsevier, vol. 48(5), pages 1216-1231.
    7. 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.
    8. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    9. Fabio Fantozzi & Francesco Leccese & Giacomo Salvadori & Michele Rocca & Marco Garofalo, 2016. "LED Lighting for Indoor Sports Facilities: Can Its Use Be Considered as Sustainable Solution from a Techno-Economic Standpoint?," Sustainability, MDPI, vol. 8(7), pages 1-13, June.
    10. Tanesab, Julius & Parlevliet, David & Whale, Jonathan & Urmee, Tania, 2018. "Energy and economic losses caused by dust on residential photovoltaic (PV) systems deployed in different climate areas," Renewable Energy, Elsevier, vol. 120(C), pages 401-412.
    11. Abas, Naeem & Kalair, Ali Raza & Khan, Nasrullah & Haider, Aun & Saleem, Zahid & Saleem, Muhammad Shoaib, 2018. "Natural and synthetic refrigerants, global warming: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 557-569.
    12. 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.
    13. 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.
    14. Khorasanizadeh, Hasti & Parkkinen, Jussi & Parthiban, Rajendran & David Moore, Joel, 2015. "Energy and economic benefits of LED adoption in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 629-637.
    15. 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.
    16. Vasan, Arvind & Sood, Bhanu & Pecht, Michael, 2014. "Carbon footprinting of electronic products," Applied Energy, Elsevier, vol. 136(C), pages 636-648.
    17. 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.
    18. 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.
    19. Kalair, A. & Abas, N. & Kalair, A.R. & Saleem, Z. & Khan, N., 2017. "Review of harmonic analysis, modeling and mitigation techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1152-1187.
    20. Muslima Zahan, 2021. "Sustainable Strategy to Sustainable Business: An Empirical Analysis on Energy-Efficient Light Bulb," Sustainability, MDPI, vol. 13(24), pages 1-17, December.

    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:113:y:2014:i:c:p:1484-1489. 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.