Control and optimization of ozone synthesis using optical technologies
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1
Department of Electronics, Telecommunications and Space Technologies, Satbayev University, Satbayev str., 22, Almaty, 050013, Republic of Kazakhstan
2
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, 39 Kori Niyoziy St., Mirzo Ulugbek District, Tashkent 100000, Uzbekistan
3
M. Auezov South Kazakhstan University, Tauke Khan Avenue, 5, Shymkent, 160000, Republic of Kazakhstan
4
Department of Telecommunications and Innovative Technologies, Gumarbek Daukeev Almaty University of Power Engineering and Communications, Baitursynuly str., 126/1, Almaty, 050013, Republic of Kazakhstan
5
Department of Energy and Automation, Nanotechnology, Caspian University of Technology and Engineering named after Sh. Yessenov, Microdistrict 33, Aktau, 130000 Republic of Kazakhstan
6
Department of Mining, Satbayev University, Satbayev str., 22, Almaty, 050013, Republic of Kazakhstan
Corresponding author
Akerke Dyussenbiyeva
M. Auezov South Kazakhstan University, Tauke Khan Avenue, 5, Shymkent, 160000, Republic of Kazakhstan
Adv. Sci. Technol. Res. J. 2026; 20(4)
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ABSTRACT
Ozone is a compound that plays a crucial role in environmental and industrial applications. However, traditional methods of ozone synthesis require high energy consumption and lack precision. This study focuses on optimizing the process and improving efficiency in ozone production by utilizing optical technologies. The primary goal of the research is to monitor ozone concentration in real-time using optical methods while reducing energy consumption. The ETRO-02 ozone generator was employed during the study, and methods such as ultraviolet spectrophotometry and laser spectroscopy were utilized. It was demonstrated that ozone concentration can be measured with an accuracy of ±0.1 ppm, and energy consumption can be reduced from 15 kWh/kg to 10 kWh/kg. The results indicate that optical monitoring methods increase production efficiency by 30% and precisely determine linear relationships between ozone concentration and synthesis rates. This approach enables the automation of industrial processes while ensuring environmental sustainability. Future work suggests the development of real-time monitoring algorithms and the integration of new optical methods.