Creating Digital Twins of Photovoltaic Panels With The Help of High-Resolution Photographs

Çelik K. B., Erat Ö. Ö., Yeşilata B.

V. International Science and Innovation Congress, Ankara, Türkiye, 4 - 06 Ekim 2024, ss.62-71, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.62-71
  • Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet

Özet

With the widespread use of Industry 4.0, Digital Twin has begun to be used in many areas. First, in the early 2000s, Dr. Digital Twin technology, used by Michael Grieves for the maintenance and repair of spacecraft at NASA, produces benefits in many sectors today [1]. Digital Twin represents a virtual simulation of physical systems, providing real-time prediction and optimization in areas such as product design and development, production, operation and maintenance, training and simulation in a digital environment [2]. As a result of the research, not many studies have been found on the use of Digital Twin technology in solar energy systems, which are expected to receive a lot of investment in our country and the world in the coming years [1]. In particular, a method that goes from high-resolution snapshot photography to a functional digital twin has not yet been developed. At this point, creating digital twins of photovoltaic panels, which are the cornerstones of solar energy systems, which are renewable, easily accessible and clean energy sources, with the help of high-resolution photographs; The process of generating electricity from solar energy can provide benefits in many areas such as operational, efficiency, cost, accessibility, waste reduction, predicting problems and even training. The research was carried out on a renewable energy set consisting of 10 Wp photovoltaic panels in the Energy Systems Engineering laboratory of Ankara Yıldırım Beyazıt University. The photo of the solar panels in a panel experiment set with AC and DC connections and its own lighting system was taken with 3 different camera lenses (Canon 27 – 105 mm lens, Canon 18 – 55 mm lens, Iphone 11 phone camera lenses). Among the photographs obtained, those with the best exposure, brilliance, shadows and contrast settings were selected and analyzed in the ImageJ program. As a result of the analysis, deformations on the panel were detected.