Comparative Life Cycle Assessment of Monocrystalline and Multicrystalline-based Grid-Connected Photovoltaic Systems with Uncertainty Analysis

Authors

  • Muhammad Khairul Hazim Shahruddin Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Johor Branch, Malaysia
  • Atiqah Hamizah Mohd Nordin Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Johor Branch, Malaysia
  • Shahril Irwan Sulaiman School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia
Volume: 15 | Issue: 2 | Pages: 21599-21604 | April 2025 | https://doi.org/10.48084/etasr.10049

Abstract

A comparative Life Cycle Assessment (LCA) of Photovoltaic (PV) systems in Shah Alam, Malaysia using different PV module technologies, i.e. monocrystalline silicon and multicrystalline silicon installed was conducted in this paper to evaluate the energy consumption and global warming impacts using CED and IPCC methods. Several energy and global warming-related indicators were also determined and uncertainty, contribution, and sensitivity analyses were performed. The results show that multi-Si PV system outperforms the mono-Si PV system after taking into account the data uncertainty. The global warming impacts were found to be 47 and 54.7 g CO2-eq/kwh for multi-Si and mono-Si systems, respectively. The contribution analysis shows that the PV module is the major contributor of each system. It is also highlighted that increased irradiation, extended system lifetime, and reduced module degradation rates could improve the overall performance. This study provides valuable insights into the environmental performance of different PV module technologies, offering guidance for optimizing PV system design and promoting sustainable energy development.

Keywords:

solar PV, comparative LCA, uncertainty, global warming, energy payback time

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How to Cite

[1]
Shahruddin, M.K.H., Mohd Nordin, A.H. and Sulaiman, S.I. 2025. Comparative Life Cycle Assessment of Monocrystalline and Multicrystalline-based Grid-Connected Photovoltaic Systems with Uncertainty Analysis. Engineering, Technology & Applied Science Research. 15, 2 (Apr. 2025), 21599–21604. DOI:https://doi.org/10.48084/etasr.10049.

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