Multicriteria design and experimental verification of hybrid renewable energy systems. Application to electric vehicle charging stations

TL;DR

This paper presents a multicriteria methodology for designing hybrid renewable energy systems for electric vehicle charging stations, validated through numerical analysis and experimental verification in Valencia, Spain.

Contribution

It introduces a novel multicriteria approach to optimize HRES configurations for EVCS considering environmental, economic, and technical factors, with experimental validation.

Findings

Off-grid HRES with solar, wind, and batteries is optimal for Valencia EVCS.

The methodology effectively integrates resource assessment and demand analysis.

Experimental verification confirms the system's ability to meet EVCS demand.

Abstract

The installation of electric vehicle charging stations (EVCS) will be essential to promote the acceptance by the users of electric vehicles (EVs). However, if EVCS are exclusively supplied by the grid, negative impacts on its stability together with possible CO2 emission increases could be produced. Introduction of hybrid renewable energy systems (HRES) for EVCS can cope with both drawbacks by reducing the load on the grid and generating clean electricity. This paper develops a methodology based on a weighted multicriteria process to design the most suitable configuration for HRES in EVCS. This methodology determines the local renewable resources and the EVCS electricity demand. Then, taking into account environmental, economic and technical aspects, it deduces the most adequate HRES design for the EVCS. Besides, an experimental stage to validate the design deduced from the multicriteria process is included. Therefore, the final design for the HRES in EVCS is supported not only by a complete numerical evaluation, but also by an experimental verification of the demand being fully covered. Methodology application to Valencia (Spain) proves that an off-grid HRES with solar PV, wind resources and batteries support would be the most suitable configuration for the system. This solution was also experimentally verified.