Application of the Delphi Method for the identification of relevant variables in the development of low-power photovoltaic solar projects in Colombia

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
R. G. García Diaz, Jimer Alexander Cubides Gamboa, Diego Julián Rodríguez Patarroyo
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Abstract

Introduction: This paper is the product of the investigation “Identification of relevant variables in the development of photovoltaic solar projects in Colombia” developed at the Universidad Distrital Francisco José de Caldas (UDFJC) between 2020 and 2021. Due to the increase in the number of photovoltaic energy projects in Colombia, it is necessary to quantify the level of relevance related with the factors involved in order to optimize the planning and execution processes. Methods: In this research, the Delphi methodology is applied to evaluate a set of variables selected from literature, putting them to an evaluation by a group of experts with the purpose of quantifying the relationship, under a subjective judgment, between those variables and parameters immersed in low power photovoltaic solar projects in Colombia. Together with the Delphi method, the Torgerson Model was used to quantify what experts said, in order to determine which variables are the most relevant ones to the experts. Subsequently, the validation of these answers is carried out with the application of a second evaluative stage throughout the application of structured instruments. Results: After obtaining the general consensus, the results are analyzed with the ideal of identifying the variables that obtained a higher level of relevance, in which six relevant variables were identified. Conclusions: This paper shows how the results of research processes get the most relevant variables, being 6 variables in total, and their impact is analyzed. Originality: Applying the Delphi method, it is possible to find the most relevant variables in the development of low power photovoltaic solar projects in Colombia, making this paper an important element in the advancement of renewable energies. Limitation: A massive sample of results was not achieved due to the difficulty in contacting the appropriate professionals in the area analyzed.
德尔菲法在哥伦比亚低功率光伏太阳能项目开发中相关变量识别中的应用
简介:本文是弗朗西斯科·何塞·德·卡尔达斯地区大学(UDFJC)在2020年至2021年间开展的“哥伦比亚光伏太阳能项目开发中相关变量的识别”调查的成果。由于哥伦比亚光伏能源项目数量的增加,有必要量化与所涉及因素相关的相关性水平,以优化规划和执行过程。方法:在本研究中,应用德尔菲方法对从文献中选择的一组变量进行评估,并由一组专家对其进行评估,目的是在主观判断下量化这些变量与哥伦比亚低功率光伏太阳能项目参数之间的关系。Torgerson模型与Delphi方法一起用于量化专家所说的话,以确定哪些变量与专家最相关。随后,在应用结构化工具的整个过程中应用第二个评估阶段,对这些答案进行验证。结果:在获得普遍共识后,以识别相关性较高的变量为理想对结果进行分析,其中识别了6个相关变量。结论:本文展示了研究过程的结果是如何获得最相关的变量的,总共有6个变量,并分析了它们的影响。独创性:应用德尔菲方法,可以找到哥伦比亚低功率光伏太阳能项目发展中最相关的变量,使本文成为可再生能源发展的重要因素。局限性:由于难以联系所分析领域的适当专业人员,因此未能获得大量样本结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Ingenieria Solidaria
Ingenieria Solidaria ENGINEERING, MULTIDISCIPLINARY-
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