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Assessment of Solar Rooftop Potential Using a Digital Surface Model Based on a Photogrammetric Survey by an Unmanned Aerial Vehicle |
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| รหัสดีโอไอ | |
| Creator | 1. Warin Wongwan 2. Narong Pleerux 3. Nattapan Thanomsat 4. Sitthisak Moukomla |
| Title | Assessment of Solar Rooftop Potential Using a Digital Surface Model Based on a Photogrammetric Survey by an Unmanned Aerial Vehicle |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2566 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 16 |
| Journal No. | 3 |
| Page no. | 68-81 |
| Keyword | Solar radiation, Solar rooftop, Photovoltaic (PV), Digital Surface Model (DSM), Geographic Information System (GIS) |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | The Digital Surface Model (DSM) provides significant input data for solar radiation analysis. The DSM data for a small area like a university can be obtained from Unmanned Aerial Vehicle (UAV) photogrammetric surveys. This method has the advantages of being low cost and less time consuming while also having high-resolution and accurate results. This study analyzed solar radiation with Point Solar Radiation analysis tools from the ArcGIS software. A rooftop solar radiation map was derived and used for identifying potential buildings for installing photovoltaic (PV) systems and to estimate the PV value. Most of the PV-potential areas consisted of structured buildings with flat and pitched roofs covering 10.2% of the rooftop area. The pitched roofs were oriented toward the south and not over a 40? slope. PV values estimated from the installed PV systems were compared with the actual PV values. The estimated values were higher than the actual values by 0.19%. The potential PV area was analyzed by comparing the estimated PV value with the university's electricity demand. It was estimated that the installation of PV systems in the potential PV areas could reduce electricity costs by up to 42.28%. Solar radiation analysis and potential PV assessment can provide supportive information on the financial feasibility and estimated power cost savings that would accrue on installing rooftop PV systems in buildings and help in decision making. |
