Algorithms for Thermal Control Systems with Artificial Intelligence Based on Fuzzy Logic

Authors

  • Nigmatov Azizjon Makhkamovich Senior Lecturer. National Research University "TIIAME"
  • Yunusova Sayyora Toshkenboevna Associate Professor Tashkent State Technical University

DOI:

https://doi.org/10.62480/tjms.2024.vol30.5123.pp22-27

Keywords:

Electricity, drying, energy saving, efficiency

Abstract

Drying cotton and cotton raw materials is an important step in their production, requiring significant energy consumption. This article discusses methods for improving energy efficiency in cotton drying. In particular, schemes and formulas are presented for optimizing the drying process using modern technologies and energy saving methods

References

Smith, J. (2020). "Energy-efficient drying techniques for cotton textiles." Journal of Textile Engineering, 35(2), 123-135.

Zhang, L., & Wang, Q. (2019). "Optimization of cotton drying process using heat pump technology." International Journal of Energy Research, 43(5), 256-267.

Brown, K. (2018). "Infrared drying technology for cotton textiles." Textile Science and Technology, 22(3), 189-201.

International Energy Agency (IEA). (2021). "Energy Efficiency Indicators: Fundamentals on Statistics." Paris: IEA Publishing.

United Nations Industrial Development Organization (UNIDO). (2019). "Energy Efficiency and Renewable Energy Technologies for the Cotton Industry." Vienna: UNIDO Publications.

Downloads

Published

2024-03-21

Issue

Section

Articles

How to Cite

Algorithms for Thermal Control Systems with Artificial Intelligence Based on Fuzzy Logic. (2024). Texas Journal of Multidisciplinary Studies, 30, 22-27. https://doi.org/10.62480/tjms.2024.vol30.5123.pp22-27