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

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  • 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
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    References listed on IDEAS

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    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.
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    Cited by:

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    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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.

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