Version 1
: Received: 22 May 2023 / Approved: 23 May 2023 / Online: 23 May 2023 (11:11:08 CEST)
How to cite:
Zerafa, S.; Azzopardi, B.; Mifsud, C. Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques. Preprints2023, 2023051652. https://doi.org/10.20944/preprints202305.1652.v1
Zerafa, S.; Azzopardi, B.; Mifsud, C. Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques. Preprints 2023, 2023051652. https://doi.org/10.20944/preprints202305.1652.v1
Zerafa, S.; Azzopardi, B.; Mifsud, C. Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques. Preprints2023, 2023051652. https://doi.org/10.20944/preprints202305.1652.v1
APA Style
Zerafa, S., Azzopardi, B., & Mifsud, C. (2023). Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques. Preprints. https://doi.org/10.20944/preprints202305.1652.v1
Chicago/Turabian Style
Zerafa, S., Brian Azzopardi and Craig Mifsud. 2023 "Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques" Preprints. https://doi.org/10.20944/preprints202305.1652.v1
Abstract
Electric energy is one of the driving forces in every country. The supply of electrical energy continues to present various challenges, such as high costs associated with procuring raw materials for generation, sparsely populated areas that are not connected to the main grid, and the need for infrastructure to support generation and network delivery. These challenges have contributed to the growing adoption of renewable energy sources, particularly solar photovoltaics (PV).In this study, we have developed a practical method to assess the spatial PV potential in a selected urban area. The methodology combines data collected from an unmanned aerial vehicle (UAV) photogrammetry, Geographic Information System (GIS), and the energy output from three remote photovoltaic systems installed at different locations. The results obtained from this approach not only provide the energy generated per square meter, per year (kWh m-2 yr-1), but also provides a base to calculate the potential distance that electric cars could travel based on the energy generated. To illustrate the application of this method, two practical cases were selected: Senglea, Malta, and Munxar, Gozo. These examples highlight the versatility and effectiveness of our approach for evaluating and harnessing solar energy through photovoltaic panels in different contexts.
Keywords
Drones; Photovoltaics; Electric Mobility; Solar Energy; Spatial analysis
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
