Abstract
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.
Highlights
The work of Beluco et al [3] contributed to a better understanding of energetic complementarity, proposing the differentiation between temporal complementarity and spatial complementarity, proposing the identification of different complementarity components and proposing a dimensionless index [4] to evaluate temporal complementarity
These studies generally dealt with energetic complementarity through an evaluation or comparison of a pair of sources, until the work of Borba and Brito [5], where these authors addressed the problem of assessing the complementarity between more than two energy resources at once,and more recently Han et al [6] estimated the complementarity between multiple energy sources through the comparison of the fluctuation difference between their individual and combined power generation capacities
This paper presents a method for the spatial representation of an index describing the temporal complementarity between three variable renewable energy sources (VRES)
Summary
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. 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. Method name: Method for spatially representing temporal complementarity between three variable energy sources based on correlation and compromise programming Keywords: Energetic complementarity, Renewable energy, Variable renewables, Geographic information systems Article history: Received 1 December 2019; Accepted 11 March 2020; Available online 18 March 2020. Temporal complementarity between three variable renewable energy sources: A spatial representation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.