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Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle

The research article “Khan I, Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment, Journal of Cleaner Production. 243 (2020), 118639, 1–13. DOI: https://doi.org/10.1016/j.jclepro.2019.118639” [1] is linked to this data article....

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Autor principal: Khan, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909054/
https://www.ncbi.nlm.nih.gov/pubmed/31871973
http://dx.doi.org/10.1016/j.dib.2019.104808
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author Khan, Imran
author_facet Khan, Imran
author_sort Khan, Imran
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description The research article “Khan I, Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment, Journal of Cleaner Production. 243 (2020), 118639, 1–13. DOI: https://doi.org/10.1016/j.jclepro.2019.118639” [1] is linked to this data article. The electricity generation related data were collected from the electricity authorities of Bangladesh, Bhutan, India, and Nepal annual reports, which were publicly available through their websites. Two methods of sustainability assessment, the ‘global’ and ‘multi-criteria decision analysis (MCDA)’ were employed. These two methods were adopted from recent literature. Related data were thus also collected from previous studies in the literature. These two models were explicitly used through a step-by-step calculation using the collected data. These data and methods will allow the researchers to replicate the methods readily. The use of this data and method will also enhance applying a similar approach to other related datasets. Overall, this dataset and method of calculation allow the researcher or analyst to avoid a number of issues: (i) it eliminates considering a large volume of electricity generation data from a myriad of sources for the four countries; (ii) this dataset is ready to be used for any further related sustainability assessment, thus reducing the steps by breaking large datasets down in a way that makes the analysis much easier, and (iii) the calculation steps are ready to be used for any other similar dataset.
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spelling pubmed-69090542019-12-23 Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle Khan, Imran Data Brief Energy The research article “Khan I, Sustainability challenges for the south Asia growth quadrangle: A regional electricity generation sustainability assessment, Journal of Cleaner Production. 243 (2020), 118639, 1–13. DOI: https://doi.org/10.1016/j.jclepro.2019.118639” [1] is linked to this data article. The electricity generation related data were collected from the electricity authorities of Bangladesh, Bhutan, India, and Nepal annual reports, which were publicly available through their websites. Two methods of sustainability assessment, the ‘global’ and ‘multi-criteria decision analysis (MCDA)’ were employed. These two methods were adopted from recent literature. Related data were thus also collected from previous studies in the literature. These two models were explicitly used through a step-by-step calculation using the collected data. These data and methods will allow the researchers to replicate the methods readily. The use of this data and method will also enhance applying a similar approach to other related datasets. Overall, this dataset and method of calculation allow the researcher or analyst to avoid a number of issues: (i) it eliminates considering a large volume of electricity generation data from a myriad of sources for the four countries; (ii) this dataset is ready to be used for any further related sustainability assessment, thus reducing the steps by breaking large datasets down in a way that makes the analysis much easier, and (iii) the calculation steps are ready to be used for any other similar dataset. Elsevier 2019-11-16 /pmc/articles/PMC6909054/ /pubmed/31871973 http://dx.doi.org/10.1016/j.dib.2019.104808 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Energy
Khan, Imran
Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title_full Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title_fullStr Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title_full_unstemmed Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title_short Data and method for assessing the sustainability of electricity generation sectors in the south Asia growth quadrangle
title_sort data and method for assessing the sustainability of electricity generation sectors in the south asia growth quadrangle
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909054/
https://www.ncbi.nlm.nih.gov/pubmed/31871973
http://dx.doi.org/10.1016/j.dib.2019.104808
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