Estimation of the solar energy by Digital Terrain Model data from Unmanned Aerial Vehicles

  • วิลาวัณย์ ประสมทรัพย์ สาขาวิชาวิศวกรรมสำรวจ คณะวิศวกรรมศาสตร์และสถาปัตยกรรมศาสตร์ มหาวิทยาลัยเทคโนโลยีราชมงคลอีสาน
  • ติณณ์ ถิรกุลโตมร
  • ธนกร ทอดสูงเนิน
  • ศิลาภรณ์ จันทะลุน
  • ภาณุวิชญ์ เอ็นดู

Abstract

The ability to generate electricity is in contrast to the demand for electricity in Thailand. This causes a wide range to the development of alternative energy such as solar, water, and wind. Therefore, this study aims to study a preliminary of applying technology to survey the amount of solar energy by using the Digital Terrain Model (DTM) from Unmanned Aerial Vehicles (UAV) over the Rajamangala University of Technology Isan. This study presents a technic for calculating the amount of Solar Energy per Area Solar Radiation by using the DTM. As the results from calculating the DTM, the maximum and minimum Solar Energy is 5,670.96 MWh and 2.65927 MWh, respectively. After eliminating some noise from the DTM, the maximum and minimum Solar Energy is 5,645.61 MWh and 382.715 MWh, respectively. The result from adjusted DTM was classified into five levels associated with Geometrical interval. It is showed that the open area in the west and south of the University (totally 22,869.04 m2) are the places that receive the highest amount of Solar Energy. The explored result of this study can be proposed to prioritize the areas for the field surveying afterwards. It would be able to reduce the time of field surveying over the suitable areas for the Solar Farm installation.

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Published
2020-07-08
How to Cite
[1]
ประสมทรัพย์ว., ถิรกุลโตมรต., ทอดสูงเนินธ., จันทะลุนศ. and เอ็นดูภ. 2020. Estimation of the solar energy by Digital Terrain Model data from Unmanned Aerial Vehicles. The 25th National Convention on Civil Engineering. 25, (Jul. 2020), SGI22.
Section
Survey and Geographic Information System Engineering

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