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

机译:评估南亚增长四边形中发电部门可持续性的数据和方法

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摘要

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: ” [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.
机译:研究文章“可汗一世,南亚增长四边形的可持续性挑战:区域发电可持续性评估,清洁生产杂志”。 243(2020),118639,1-13。 DOI:“ [1]链接到此数据文章。与发电相关的数据是从孟加拉国,不丹,印度和尼泊尔的电力部门收集的年度报告,可通过其网站公开获取。采用了两种可持续性评估方法,即“全球”和“多标准决策分析(MCDA)”。从最近的文献中采用了这两种方法。因此,相关数据也从以前的文献研究中收集。通过使用收集的数据进行逐步计算,明确使用了这两个模型。这些数据和方法将使研究人员能够轻松地复制这些方法。此数据和方法的使用还将增强将类似方法应用于其他相关数据集的能力。总的来说,该数据集和计算方法使研究人员或分析人员可以避免许多问题:(i)消除了考虑来自四个国家大量来源的大量发电数据的需求; (ii)该数据集已准备好用于任何其他相关的可持续性评估,从而通过分解大型数据集以简化分析的方式来减少步骤,并且(iii)计算步骤已准备好用于任何分析其他类似的数据集。

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