Performance and Environmental Impact Analysis of a Grid-connected PV Power Plant Using AI-based Real-time Monitoring

Authors

  • Büşra Kişecok Inonu University and Baykan Denim Company, Turkey
  • Tarkan Koca Inonu University, Turkey
  • Aydın Çıtlak Fırat University, Turkey

DOI:

https://doi.org/10.7546/CRABS.2025.11.13

Keywords:

renewable energy, solar power plant, performance analysis

Abstract

In this study, the performance evaluation of grid-connected photovoltaic systems with a capacity of 4101.12 kWp installed by Baykan Denim company in Malatya province is carried out. The performance ratio, temperature, energy, radiation values used in the evaluation of the analysis are obtained every five minutes with the Solarify artificial intelligence-based performance monitoring network. The system efficiency is 16.53% and the performance ratio is 0.81. In addition, it was determined that 3022.61 tons of CO2 emissions were reduced annually thanks to the installed SPP (Solar power plant). It is concluded that the installation of PV systems provides considerable environmental and economic benefits.

Author Biographies

Büşra Kişecok, Inonu University and Baykan Denim Company, Turkey

Mailing Address:
Department of Mechanical Engineering,
Inonu University,
Malatya, Türkiye
and
Baykan Denim Company,
Malatya, Türkiye

E-mail: kisecokbusra@gmail.com

Tarkan Koca, Inonu University, Turkey

Mailing Address:
Department of Mechanical Engineering,
Inonu University,
Malatya, Türkiye

E-mail: tarkan.koca@inonu.edu.tr

Aydın Çıtlak, Fırat University, Turkey

Mailing Address:
Department of Mechanical Engineering,
Fırat University,
Elazıǧ, Türkiye

E-mail: acitlak@firat.edu.tr

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Published

01-12-2025

How to Cite

[1]
B. Kişecok, T. Koca, and A. Çıtlak, “Performance and Environmental Impact Analysis of a Grid-connected PV Power Plant Using AI-based Real-time Monitoring”, C. R. Acad. Bulg. Sci., vol. 78, no. 11, pp. 1695–1702, Dec. 2025.

Issue

Vol. 78 No. 11 (2025)

Section

Engineering Sciences

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