Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis

Life cycle assessment (LCA) of photovoltaic (PV) system aims at guiding designers and decision-makers towards more sustainable PV projects. Comparative LCA is usually done where the goal is to select the best option from alternatives. However, unavailability of uncertainty information could cause th...

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Published in:SMART GRID AND RENEWABLE ENERGY SYSTEMS, ICRCE 2024
Main Authors: Nordin, Atiqah Hamizah Mohd; Sulaiman, Shahril Irwan; Mustapa, Rijalul Fahmi; Shahruddin, Muhammad Khairul Hazim
Format: Proceedings Paper
Language:English
Published: SPRINGER-VERLAG SINGAPORE PTE LTD 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001313717500005
author Nordin
Atiqah Hamizah Mohd; Sulaiman
Shahril Irwan; Mustapa
Rijalul Fahmi; Shahruddin
Muhammad Khairul Hazim
spellingShingle Nordin
Atiqah Hamizah Mohd; Sulaiman
Shahril Irwan; Mustapa
Rijalul Fahmi; Shahruddin
Muhammad Khairul Hazim
Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
Science & Technology - Other Topics; Energy & Fuels
author_facet Nordin
Atiqah Hamizah Mohd; Sulaiman
Shahril Irwan; Mustapa
Rijalul Fahmi; Shahruddin
Muhammad Khairul Hazim
author_sort Nordin
spelling Nordin, Atiqah Hamizah Mohd; Sulaiman, Shahril Irwan; Mustapa, Rijalul Fahmi; Shahruddin, Muhammad Khairul Hazim
Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
SMART GRID AND RENEWABLE ENERGY SYSTEMS, ICRCE 2024
English
Proceedings Paper
Life cycle assessment (LCA) of photovoltaic (PV) system aims at guiding designers and decision-makers towards more sustainable PV projects. Comparative LCA is usually done where the goal is to select the best option from alternatives. However, unavailability of uncertainty information could cause the reliability of decisions based on the study is questioned. In this study, a comparative LCA on PV systems for different module technologies, i.e. monocrystalline silicon, multicrystalline silicon, cadmium telluride, copper indium selenide and amorphous silicon was conducted by incorporating uncertainty analysis focusing on life cycle data using Monte Carlo simulation in order to demonstrate the effect of uncertainty on the impacts. The results showed that the global warming impact ranges from 22.07 to 89.59 g CO2-eq/kWh across different module technologies considering lower and upper limits of the uncertainty range. This study highlights that presenting the results with uncertainty analysis is crucial to support conclusion in a comparative LCA.
SPRINGER-VERLAG SINGAPORE PTE LTD
1876-1100
1876-1119
2024
1238

10.1007/978-981-97-5782-4_5
Science & Technology - Other Topics; Energy & Fuels

WOS:001313717500005
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001313717500005
title Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
title_short Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
title_full Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
title_fullStr Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
title_full_unstemmed Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
title_sort Comparative Life Cycle Assessment of Photovoltaic Systems with Uncertainty Analysis
container_title SMART GRID AND RENEWABLE ENERGY SYSTEMS, ICRCE 2024
language English
format Proceedings Paper
description Life cycle assessment (LCA) of photovoltaic (PV) system aims at guiding designers and decision-makers towards more sustainable PV projects. Comparative LCA is usually done where the goal is to select the best option from alternatives. However, unavailability of uncertainty information could cause the reliability of decisions based on the study is questioned. In this study, a comparative LCA on PV systems for different module technologies, i.e. monocrystalline silicon, multicrystalline silicon, cadmium telluride, copper indium selenide and amorphous silicon was conducted by incorporating uncertainty analysis focusing on life cycle data using Monte Carlo simulation in order to demonstrate the effect of uncertainty on the impacts. The results showed that the global warming impact ranges from 22.07 to 89.59 g CO2-eq/kWh across different module technologies considering lower and upper limits of the uncertainty range. This study highlights that presenting the results with uncertainty analysis is crucial to support conclusion in a comparative LCA.
publisher SPRINGER-VERLAG SINGAPORE PTE LTD
issn 1876-1100
1876-1119
publishDate 2024
container_volume 1238
container_issue
doi_str_mv 10.1007/978-981-97-5782-4_5
topic Science & Technology - Other Topics; Energy & Fuels
topic_facet Science & Technology - Other Topics; Energy & Fuels
accesstype
id WOS:001313717500005
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001313717500005
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