Life cycle assessment of rice straw-based power generation in Malaysia

This paper presents an application of LCA (Life Cycle Assessment) with a view to analyzing the environment aspects of rice straw-based power generation in Malaysia. It also compares rice straw-based power generation with that of coal and natural gas. GHG (Greenhouse gas) emission savings were calcul...

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Main Authors: Shafie S.M., Masjuki H.H., Mahlia T.M.I.
Other Authors: 54403809000
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-218902023-05-16T10:45:54Z Life cycle assessment of rice straw-based power generation in Malaysia Shafie S.M. Masjuki H.H. Mahlia T.M.I. 54403809000 57175108000 56997615100 This paper presents an application of LCA (Life Cycle Assessment) with a view to analyzing the environment aspects of rice straw-based power generation in Malaysia. It also compares rice straw-based power generation with that of coal and natural gas. GHG (Greenhouse gas) emission savings were calculated. It finds that rice straw power generation can save GHG (greenhouse gas) emissions of about 1.79kg CO2-eq/kWh compared to coal-based and 1.05kg CO2-eq/kWh with natural gas based power generation. While the development of rice straw-based power generation in Malaysia is still in its early stage, these paddy residues offer a large potential to generate electricity because of their availability. Rice straw power plants not only could solve the problem of removing rice straw from fields without open burning, but also could reduce GHG emissions that contribute to climate change, acidification, and eutrophication, among other environmental problems. © 2014 Elsevier Ltd. Final 2023-05-16T02:45:54Z 2023-05-16T02:45:54Z 2014 Article 10.1016/j.energy.2014.04.014 2-s2.0-84901651576 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901651576&doi=10.1016%2fj.energy.2014.04.014&partnerID=40&md5=415c99fead36d7bdaeedbb6fff0057f5 https://irepository.uniten.edu.my/handle/123456789/21890 70 401 410 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper presents an application of LCA (Life Cycle Assessment) with a view to analyzing the environment aspects of rice straw-based power generation in Malaysia. It also compares rice straw-based power generation with that of coal and natural gas. GHG (Greenhouse gas) emission savings were calculated. It finds that rice straw power generation can save GHG (greenhouse gas) emissions of about 1.79kg CO2-eq/kWh compared to coal-based and 1.05kg CO2-eq/kWh with natural gas based power generation. While the development of rice straw-based power generation in Malaysia is still in its early stage, these paddy residues offer a large potential to generate electricity because of their availability. Rice straw power plants not only could solve the problem of removing rice straw from fields without open burning, but also could reduce GHG emissions that contribute to climate change, acidification, and eutrophication, among other environmental problems. © 2014 Elsevier Ltd.
author2 54403809000
author_facet 54403809000
Shafie S.M.
Masjuki H.H.
Mahlia T.M.I.
format Article
author Shafie S.M.
Masjuki H.H.
Mahlia T.M.I.
spellingShingle Shafie S.M.
Masjuki H.H.
Mahlia T.M.I.
Life cycle assessment of rice straw-based power generation in Malaysia
author_sort Shafie S.M.
title Life cycle assessment of rice straw-based power generation in Malaysia
title_short Life cycle assessment of rice straw-based power generation in Malaysia
title_full Life cycle assessment of rice straw-based power generation in Malaysia
title_fullStr Life cycle assessment of rice straw-based power generation in Malaysia
title_full_unstemmed Life cycle assessment of rice straw-based power generation in Malaysia
title_sort life cycle assessment of rice straw-based power generation in malaysia
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425737939386368
score 13.222552