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Life cycle cost analysis and payback period of lighting retrofit at the University of Malaya

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  • Mahlia, T.M.I.
  • Razak, H. Abdul
  • Nursahida, M.A.

Abstract

This study presents the potential energy saving, life cycle cost analysis and payback period of the lighting system in campus buildings of the University of Malaya, Malaysia. The survey results indicate that almost 90% of the lighting system at the University Malaya campus consists of fluorescent lamp. Cost benefit analysis of retrofitting with more efficient lighting system in terms of potential energy saving, life cycle cost analysis and payback period have been conducted. Comparison of existing and retrofitting of lighting system based on the energy consumption is presented. From the analysis, it can be concluded that by using energy efficient lighting system will save a significant amounts of energy and cost, and also indirectly reducing emission.

Suggested Citation

  • Mahlia, T.M.I. & Razak, H. Abdul & Nursahida, M.A., 2011. "Life cycle cost analysis and payback period of lighting retrofit at the University of Malaya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1125-1132, February.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:2:p:1125-1132
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    References listed on IDEAS

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    Cited by:

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    6. Mohammadnejad, M. & Ghazvini, M. & Mahlia, T.M.I. & Andriyana, A., 2011. "A review on energy scenario and sustainable energy in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4652-4658.
    7. Xabat Oregi & Rufino Javier Hernández & Patxi Hernandez, 2020. "Environmental and Economic Prioritization of Building Energy Refurbishment Strategies with Life-Cycle Approach," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    8. Zhou, Lu & Li, Jing & Chiang, Yat Hung, 2013. "Promoting energy efficient building in China through clean development mechanism," Energy Policy, Elsevier, vol. 57(C), pages 338-346.
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    10. Shi, Qian & Lai, Xiaodong & Xie, Xin & Zuo, Jian, 2014. "Assessment of green building policies – A fuzzy impact matrix approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 203-211.

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