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https://hdl.handle.net/20.500.14279/30786
Τίτλος: | Energy yield estimation of on-vehicle photovoltaic systems in urban environments | Συγγραφείς: | 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 | Λέξεις-κλειδιά: | Electric vehicles;Energy yield;Maximum Power Point Tracking performance;Partial shading conditions;Photovoltaic modules | Ημερομηνία Έκδοσης: | 1-Οκτ-2023 | Πηγή: | Renewable Energy, 2023, vol. 215 | Volume: | 215 | Περιοδικό: | Renewable Energy | Περίληψη: | 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 |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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