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Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach

BACKGROUND: The key problem of non-grain energy plants’ scale development is how to estimate the potential of GHG emission reduction accurately and scientifically. This study presents a method coupled DSSAT (the Decision Support System for Agrotechnology Transfer) and the life cycle assessment (LCA)...

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Autores principales: Fu, Jingying, Yan, Xiaoxi, Jiang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885580/
https://www.ncbi.nlm.nih.gov/pubmed/33593411
http://dx.doi.org/10.1186/s13068-021-01896-z
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author Fu, Jingying
Yan, Xiaoxi
Jiang, Dong
author_facet Fu, Jingying
Yan, Xiaoxi
Jiang, Dong
author_sort Fu, Jingying
collection PubMed
description BACKGROUND: The key problem of non-grain energy plants’ scale development is how to estimate the potential of GHG emission reduction accurately and scientifically. This study presents a method coupled DSSAT (the Decision Support System for Agrotechnology Transfer) and the life cycle assessment (LCA) method to simulate the spatial distribution of sweet sorghum-based ethanol production potential on saline–alkali land. The GHG (greenhouse gas) emission mitigation and net energy gains of the whole life of sweet sorghum-based ethanol production were then analyzed. RESULTS: The results of the case study in Dongying, Shandong Province, China showed that developing sweet sorghum-based ethanol on saline–alkali land had GHG emission mitigation and energy potentials. The LC-GHG emission mitigation potential of saline–alkali land in Dongying was estimated at 63.9 thousand t CO(2) eq, equivalent to the carbon emission of 43.4 Kt gasoline. The LC-NEG potential was predicted at 5.02 PJ, equivalent to the caloric value of 109 Kt gasoline. On average, LC-GHG emission mitigation and LC-NEG were predicted at 55.09 kg CO(2) eq/t ethanol and 4.33 MJ/kg ethanol, respectively. CONCLUSIONS: The question of how to evaluate the potential of sweet sorghum-based ethanol development scientifically was solved primarily in this paper. The results will provide an important theoretical support for planning the bioenergy crops on saline–alkali land and develop the fuel ethanol industry.
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spelling pubmed-78855802021-02-22 Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach Fu, Jingying Yan, Xiaoxi Jiang, Dong Biotechnol Biofuels Research BACKGROUND: The key problem of non-grain energy plants’ scale development is how to estimate the potential of GHG emission reduction accurately and scientifically. This study presents a method coupled DSSAT (the Decision Support System for Agrotechnology Transfer) and the life cycle assessment (LCA) method to simulate the spatial distribution of sweet sorghum-based ethanol production potential on saline–alkali land. The GHG (greenhouse gas) emission mitigation and net energy gains of the whole life of sweet sorghum-based ethanol production were then analyzed. RESULTS: The results of the case study in Dongying, Shandong Province, China showed that developing sweet sorghum-based ethanol on saline–alkali land had GHG emission mitigation and energy potentials. The LC-GHG emission mitigation potential of saline–alkali land in Dongying was estimated at 63.9 thousand t CO(2) eq, equivalent to the carbon emission of 43.4 Kt gasoline. The LC-NEG potential was predicted at 5.02 PJ, equivalent to the caloric value of 109 Kt gasoline. On average, LC-GHG emission mitigation and LC-NEG were predicted at 55.09 kg CO(2) eq/t ethanol and 4.33 MJ/kg ethanol, respectively. CONCLUSIONS: The question of how to evaluate the potential of sweet sorghum-based ethanol development scientifically was solved primarily in this paper. The results will provide an important theoretical support for planning the bioenergy crops on saline–alkali land and develop the fuel ethanol industry. BioMed Central 2021-02-16 /pmc/articles/PMC7885580/ /pubmed/33593411 http://dx.doi.org/10.1186/s13068-021-01896-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fu, Jingying
Yan, Xiaoxi
Jiang, Dong
Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title_full Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title_fullStr Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title_full_unstemmed Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title_short Assessing the sweet sorghum-based ethanol potential on saline–alkali land with DSSAT model and LCA approach
title_sort assessing the sweet sorghum-based ethanol potential on saline–alkali land with dssat model and lca approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885580/
https://www.ncbi.nlm.nih.gov/pubmed/33593411
http://dx.doi.org/10.1186/s13068-021-01896-z
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