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...
Published in: | SMART GRID AND RENEWABLE ENERGY SYSTEMS, ICRCE 2024 |
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Main Authors: | , , , , |
Format: | Proceedings Paper |
Language: | English |
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SPRINGER-VERLAG SINGAPORE PTE LTD
2024
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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 |
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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 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1818940497572397056 |