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Light-Emitting Diode (LED) versus High-Pressure Sodium Vapour (HPSV) Efficiency: A Data Envelopment Analysis Approach with Undesirable Output

Author

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  • Nina Sakinah Ahmad Rofaie

    (Institute for Advanced Studies, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Seuk Wai Phoong

    (Department of Management, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Muzalwana Abdul Talib @ Abdul Mutalib

    (Department of Economics and Applied Statistics, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

Road lighting is essential to ensure the safety and comfort of its users, especially in preventing accidents and aiding visual tasks. The monumental shift from conventional road lighting technology to light-emitting diode (LED) lighting is driven by energy efficiency, associated cost savings, and environmental concerns in the road lighting system. This study aims to investigate the performance of LED in substitution for high-pressure sodium vapour (HPSV) road lighting in Penang Bridge, Malaysia using the Data Envelopment Analysis (DEA), a frontier-based optimisation approach, by modelling energy, cost, and environment together, as none of the previous studies has included energy, cost, and environmental concerns together in one model. The LED renewable energy industry that promotes zero carbon emissions has the potential to establish an affordable, clean, and carbon-free energy system for road lighting, especially in rural areas.

Suggested Citation

  • Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib @ Abdul Mutalib, 2022. "Light-Emitting Diode (LED) versus High-Pressure Sodium Vapour (HPSV) Efficiency: A Data Envelopment Analysis Approach with Undesirable Output," Energies, MDPI, vol. 15(13), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4589-:d:846026
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    References listed on IDEAS

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    1. Yang, Hongliang & Pollitt, Michael, 2009. "Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
    2. Rona George Allwyn & Rashid Al Abri & Arif Malik & Amer Al-Hinai, 2021. "Economic Analysis of Replacing HPS Lamp with LED Lamp and Cost Estimation to Set Up PV/Battery System for Street Lighting in Oman," Energies, MDPI, vol. 14(22), pages 1-25, November.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    5. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    6. Sun, Bo & Fan, Xuejun & Ye, Huaiyu & Fan, Jiajie & Qian, Cheng & van Driel, Williem & Zhang, Guoqi, 2017. "A novel lifetime prediction for integrated LED lamps by electronic-thermal simulation," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 14-21.
    7. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
    8. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    9. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    10. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    11. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    12. Beccali, M. & Bonomolo, M. & Leccese, F. & Lista, D. & Salvadori, G., 2018. "On the impact of safety requirements, energy prices and investment costs in street lighting refurbishment design," Energy, Elsevier, vol. 165(PB), pages 739-759.
    13. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    14. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    15. Pagden, Mark & Ngahane, Kevin & Amin, Md.Shohel Reza, 2020. "Changing the colour of night on urban streets - LED vs. part-night lighting system," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    16. Zhang, Zhien & Pan, Shu-Yuan & Li, Hao & Cai, Jianchao & Olabi, Abdul Ghani & Anthony, Edward John & Manovic, Vasilije, 2020. "Recent advances in carbon dioxide utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    17. Djuretic, Andrej & Kostic, Miomir, 2018. "Actual energy savings when replacing high-pressure sodium with LED luminaires in street lighting," Energy, Elsevier, vol. 157(C), pages 367-378.
    18. Islam, Md Tasbirul & Huda, Nazmul & Saidur, R., 2019. "Current energy mix and techno-economic analysis of concentrating solar power (CSP) technologies in Malaysia," Renewable Energy, Elsevier, vol. 140(C), pages 789-806.
    19. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    20. Santos, Lúcia & Soares, Isabel & Mendes, Carla & Ferreira, Paula, 2014. "Real Options versus Traditional Methods to assess Renewable Energy Projects," Renewable Energy, Elsevier, vol. 68(C), pages 588-594.
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