Canales Fausto A, Jurasz Jakub, Kies Alexander, Beluco Alexandre, Arrieta-Castro Marco, Peralta-Cayón Andrés
Department of Civil and Environmental, Universidad de la Costa, Barranquilla, Atlántico, Colombia.
School of Business Society and Engineering, MDH University, Västerås, Sweden.
MethodsX. 2020 Mar 18;7:100871. doi: 10.1016/j.mex.2020.100871. eCollection 2020.
Renewable energy sources have shown remarkable growth in recent times in terms of their contribution to sustainable societies. However, integrating them into the national power grids is usually hindered because of their weather-dependent nature and variability. The combination of different sources to profit from their beneficial complementarity has often been proposed as a partial solution to overcome these issues. Thus, efficient planning for optimizing the exploitation of these energy resources requires different types of decision support tools. A mathematical index for assessing energetic complementarity between multiple energy sources constitutes an important tool for this purpose, allowing a comparison of complementarity between existing facilities at different planning stages and also allowing a dynamic assessment of complementarity between variable energy sources throughout the operation, assisting in the dispatch of power supplies. This article presents a method for quantifying and spatially representing the total temporal energetic complementarity between three different variable renewable sources, through an index created from correlation coefficients and compromise programming. The method is employed to study the complementarity of wind speed, solar radiation and surface runoff on a monthly scale using continental Colombia as a case study during the year of 2015.•This paper describes a method for quantifying and spatially representing energetic complementarity between three renewable energy sources.•The method quantifies energetic complementarity by combining known metrics: correlations and compromise programming.•The proposed index for energetic complementarity assessment is sensitive to the time scale adopted.
近年来，可再生能源在对可持续社会的贡献方面呈现出显著增长。然而，由于其依赖天气的特性和变化性，将它们整合到国家电网中通常会受到阻碍。为了从它们有益的互补性中获利而将不同能源组合起来，常常被提议作为克服这些问题的部分解决方案。因此，为优化这些能源资源的开发而进行有效规划需要不同类型的决策支持工具。一个用于评估多种能源之间能量互补性的数学指标构成了实现这一目的的重要工具，它能够比较不同规划阶段现有设施之间的互补性，还能在整个运营过程中对可变能源之间的互补性进行动态评估，有助于电力供应的调度。本文提出了一种方法，通过一个由相关系数和折衷规划创建的指标，来量化和空间表示三种不同可变可再生能源之间总的时间能量互补性。该方法被用于以2015年的哥伦比亚大陆为案例研究，在月度尺度上研究风速、太阳辐射和地表径流的互补性。
• 本文描述了一种量化和空间表示三种可再生能源之间能量互补性的方法。
• 该方法通过结合已知指标（相关性和折衷规划）来量化能量互补性。
• 所提出的用于能量互补性评估的指标对所采用的时间尺度敏感。
