A method based on GIS techniques to assess renewable energy self-consumption capacity. A case study
Francisco Santana-Sarmiento and
Sergio Velázquez-Medina
Energy, 2024, vol. 305, issue C
Abstract:
The exploitation of renewables through energy self-consumption installations is one of the key strategies for the decarbonisation of energy systems and the promotion of distributed electricity generation. Wind and solar photovoltaic energy are two of the renewable sources commonly used to generate electricity for self-consumption. One of the key limitations in the exploitation of medium-large scale wind and solar photovoltaic installations is their compatibility with the geographical characteristics of the territory. In this paper, a method has been developed using GIS techniques to precisely identify the optimal locations that maximise the energy yield of such installations for electrical energy self-consumption. In the implementation of the method, criteria related to the topographical characteristics of the terrain (slope, orientation and shading, etc.), to the energy potential (capacity factor, etc.), and to logistical questions are jointly considered. The method is applied to a case study on the island of Gran Canaria (Spain). The results derived from the application of the method show the importance of detailed consideration of the topographical characteristics. This aspect is even more important in regions/countries with limited availability of useful territory for these types of installations, and is therefore key in the elaboration of energy planning strategies.
Keywords: Renewable energy for self-consumption; Distributed electricity generation; Sustainable energy policies; GIS techniques (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224020206
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:305:y:2024:i:c:s0360544224020206
DOI: 10.1016/j.energy.2024.132246
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().