| Title |
UAV photogrammetry application for determining the influence of shading on solar photovoltaic array energy efficiency / |
| Authors |
Bocullo, Vytautas ; Martišauskas, Linas ; Pupeikis, Darius ; Gatautis, Ramūnas ; Venčaitis, Rytis ; Bakas, Rimantas |
| DOI |
10.3390/en16031292 |
| Full Text |
|
| Is Part of |
Energies.. Basel : MDPI. 2023, vol. 16, iss. 3, art. no.1292, p. 1-20.. ISSN 1996-1073 |
| Keywords [eng] |
photogrammetry ; solar photovoltaic ; shading ; prosumer ; net metering |
| Abstract [eng] |
The field of solar photovoltaic (PV) plants has seen significant growth in recent years, with an increasing number of installations being developed worldwide. However, despite advancements in technology and design, the impact of shading on the performance of PV plants remains an area of concern. Accurate 3D models produced using unmanned aerial vehicle (UAV) photogrammetry can provide aid to evaluate shading from nearby surroundings and to determine the potential of a site for electricity production via solar PV plants. The main objective of this paper is to address the problem of shadows significantly reducing energy yield in solar PV plants by proposing a methodology that aims at assessing the shading effects on PV systems and determining the optimal configuration for a PV module array using an accurate digital environment 3D model built using UAV photogrammetry. A high-level-of-detail 3D model allows us to evaluate possible obstacles for PV module array construction and accurately recreate the proximities that can cast shadows. The methodology was applied to grid-connected PV systems in Kaunas, Lithuania. The results of the case study show that electricity production in PV modules is highest at a 15° tilt angle when the distance between PV rows is 1.25 m. The proposed methodology gives an 11% difference in PV yield due to shading compared with other tools that do not include shading. This study also highlights that at least 30% financing support is necessary for solar PV plants to be economically attractive, resulting in a payback of 9 years and an internal rate of return of 8%. Additionally, this study can help optimize the design and layout of PV systems, making them more efficient and cost-effective. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
