Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30786
Title: Energy yield estimation of on-vehicle photovoltaic systems in urban environments
Authors: Rigogiannis, Nick 
Perpinias, Ioannis 
Bogatsis, Ioannis 
Roidos, Ioannis 
Vagiannis, Nick 
Zournatzis, Athanasios 
Kyritsis, Anastasios Ch 
Papanikolaou, Nick P. 
Kalogirou, Soteris A. 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Keywords: Electric vehicles;Energy yield;Maximum Power Point Tracking performance;Partial shading conditions;Photovoltaic modules
Issue Date: 1-Oct-2023
Source: Renewable Energy, 2023, vol. 215
Volume: 215
Journal: Renewable Energy 
Abstract: Greenhouse gases from the propulsion systems of road transportations constitute a significant obstacle to achieve the Paris Agreement objectives. Nowadays, the substitution of conventional internal combustion engines with electric motors, along with electrochemical storage systems are the leading efforts to reduce the use of fossil fuels in road transportations. However, their limited driving range and the long charging times are the main technical factors that hinder the development of electromobility. Thus, energy harvesters and regeneration systems are increasingly incorporated in road vehicles, in order to increase their driving range. In this context, Vehicle Integrated and Applied Photovoltaics (VIAPVs) constitute an attractive prospect. The electricity yield for VIAPVs depends strongly on the route, the shadings due to the urban environment, the applied Maximum Power Point (MPPT) algorithm and the traffic conditions. In this paper, four commonly used commercial MPPT algorithms are experimentally evaluated, regarding their ability to extract the maximum available power simulating realistic city routes. The results show notable discrepancies in the performance of the studied algorithms, between terrestrial and VIAPV applications, highlighting the impact of poor MPPT performance in terms of power generation in moving vehicles.
URI: https://hdl.handle.net/20.500.14279/30786
ISSN: 09601481
DOI: 10.1016/j.renene.2023.118998
Rights: © Elsevier
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Democritus University of Thrace 
Ionian University 
Cyprus University of Technology 
Cyprus Academy of Science, Letters, and Arts 
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

1
checked on Mar 14, 2024

Page view(s)

113
Last Week
2
Last month
6
checked on Jun 17, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons