Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response

The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems...

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Autores principales:	Latifah Abdul Ghani, Nora’aini Ali, Ilyanni Syazira Nazaran, Marlia M. Hanafiah, Norhafiza Ilyana Yatim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	desalination carbon footprint Life Cycle Assessment (LCA) seawater energy Technology T
Acceso en línea:	https://doaj.org/article/86e95f71a69545189822837354e8280b
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spelling	oai:doaj.org-article:86e95f71a69545189822837354e8280b2021-11-11T15:55:26ZCarbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response10.3390/en142171351996-1073https://doaj.org/article/86e95f71a69545189822837354e8280b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7135https://doaj.org/toc/1996-1073The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems of a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system were investigated and the inventory database was developed using the relevant model framework. Subsequently, measurements and interpretations were performed on several key indicators such as greenhouse gases, energy efficiency, acidic gases, smog, and toxic gases. Overall, the results of the study indicate that the Reverse Osmosis (RO) technology that is used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to the lower carbon dioxide (CO<sub>2</sub>) emission, of about 3.5 × 10<sup>−2</sup> kg of CO<sub>2</sub> eq per m<sup>3</sup>/year, that was recorded for the entire operation of the system. However, several factors that influence important errors in carbon footprint decisions, such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario, in addition to direct and indirect carbon input calculations, need to be identified in more detail in future research.Latifah Abdul GhaniNora’aini AliIlyanni Syazira NazaranMarlia M. HanafiahNorhafiza Ilyana YatimMDPI AGarticledesalinationcarbon footprintLife Cycle Assessment (LCA)seawaterenergyTechnologyTENEnergies, Vol 14, Iss 7135, p 7135 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	desalination carbon footprint Life Cycle Assessment (LCA) seawater energy Technology T
spellingShingle	desalination carbon footprint Life Cycle Assessment (LCA) seawater energy Technology T Latifah Abdul Ghani Nora’aini Ali Ilyanni Syazira Nazaran Marlia M. Hanafiah Norhafiza Ilyana Yatim Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
description	The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems of a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system were investigated and the inventory database was developed using the relevant model framework. Subsequently, measurements and interpretations were performed on several key indicators such as greenhouse gases, energy efficiency, acidic gases, smog, and toxic gases. Overall, the results of the study indicate that the Reverse Osmosis (RO) technology that is used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to the lower carbon dioxide (CO<sub>2</sub>) emission, of about 3.5 × 10<sup>−2</sup> kg of CO<sub>2</sub> eq per m<sup>3</sup>/year, that was recorded for the entire operation of the system. However, several factors that influence important errors in carbon footprint decisions, such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario, in addition to direct and indirect carbon input calculations, need to be identified in more detail in future research.
format	article
author	Latifah Abdul Ghani Nora’aini Ali Ilyanni Syazira Nazaran Marlia M. Hanafiah Norhafiza Ilyana Yatim
author_facet	Latifah Abdul Ghani Nora’aini Ali Ilyanni Syazira Nazaran Marlia M. Hanafiah Norhafiza Ilyana Yatim
author_sort	Latifah Abdul Ghani
title	Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
title_short	Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
title_full	Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
title_fullStr	Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
title_full_unstemmed	Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response
title_sort	carbon footprint-energy detection for desalination small plant adaptation response
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/86e95f71a69545189822837354e8280b
work_keys_str_mv	AT latifahabdulghani carbonfootprintenergydetectionfordesalinationsmallplantadaptationresponse AT noraainiali carbonfootprintenergydetectionfordesalinationsmallplantadaptationresponse AT ilyannisyaziranazaran carbonfootprintenergydetectionfordesalinationsmallplantadaptationresponse AT marliamhanafiah carbonfootprintenergydetectionfordesalinationsmallplantadaptationresponse AT norhafizailyanayatim carbonfootprintenergydetectionfordesalinationsmallplantadaptationresponse
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Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response

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