Giorgi Gelashvili
Ph.D. Student, Georgian Technical University
Abstract
The advantage of the presented model primarily lies in its functional and practical approach: for data monitoring, compiling detailed reports, and conducting historical data analysis, the already existing Pxtrend system in the plant is utilized, while data collection and management are carried out using SIEMENS PCS 7 , which has direct access to the installed equipment. For visualization and the display of real-time data, WINCC 9.1 is used. These programs are fully compatible and can be easily integrated with an Excel-based analytical model. Through this combination, it becomes possible to effectively and transparently process data on the wind speed exiting the tower, vibrations, temperature, and turbine operating hours. The incoming information is converted into signals and are being processed on the above-mentioned platforms, after which this information is converted into our Excel-based monitoring document. Ultimately, the obtained data are presented as visually perceptible signals, which enable the technical personnel to respond in a timely manner.
Keywords: Renewable energy, cement plant, exhaust tower, vertical-axis wind turbine, monitoring system.
JEL: C87, O33, Q42
DOI: 10.52244/c2025.26
The article is in Georgian.
References
Tchakoua, P., Wamkeue, R., Ouhrouche, M., Slaoui‑Hasnaoui, F., Tameghe, T. A., & Ekemb, G. (2014). Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges. Energies, 7(4), 2595–2630. https://doi.org/10.3390/en7042595
Salvador‑Gutierrez, B., Sanchez‑Cortez, L., Hinojosa‑Manrique, M., Lozada‑Pedraza, A., Ninaquispe‑Soto, M., Montaño‑Pisfil, J., Gutiérrez‑Tirado, R., Chávez‑Sánchez, W., Romero‑Goytendia, L., Díaz‑Aliaga, J., & Vigo‑Roldán, A. (2025). Vertical‑axis wind turbines in emerging energy applications (1979–2025): Global trends and technological gaps revealed by a bibliometric analysis and review. Energies, 18(14), 3810. https://doi.org/10.3390/en18143810
Clavijo‑Camacho, J., Gomez‑Ruiz, G., Sanchez‑Herrera, R., & Magro, N. (2025). Remote Real‑Time Monitoring and Control of Small Wind Turbines Using Open‑Source Hardware and Software. Applied Sciences, 15(12), 6887. https://doi.org/10.3390/app15126887
Ali, S., Park, H., & Lee, D. (2025). Structural optimization of vertical axis wind turbine (VAWT): A multi-variable study for enhanced deflection and fatigue performance. Journal of Marine Science and Engineering, 13(1), 19. https://doi.org/10.3390/jmse13010019
Wang, W., Xue, Y., He, C., & Zhao, Y. (2022). Review of the typical damage and damage‑detection methods of large wind turbine blades. Energies, 15(15), 5672. https://doi.org/10.3390/en15155672
Turnbull, A., & Carroll, J. (2021). Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms. Energies, 14(16), Article 4922. https://doi.org/10.3390/en14164922