| Issue |
E3S Web Conf.
Volume 661, 2025
The 18th Thai Society of Agricultural Engineering International Conference “Climate Resilient Agriculture for Asia” (TSAE 2025)
|
|
|---|---|---|
| Article Number | 04017 | |
| Number of page(s) | 5 | |
| Section | Energy and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202566104017 | |
| Published online | 13 November 2025 | |
Research Methods for Solar Thermal Systems: Efficiency Analysis and Optimization Techniques
1 Asia International University, Republic of Uzbekistan, Bukhara, Uzbekistan
2 Tashkent State Pedagogical University, Republic of Uzbekistan, Tashkent
3 Tashkent State Pedagogical University named after Nizami, Tashkent, Uzbekistan
4 Samarkand regional pedagogical skills center
5 Bukhara State University, Uzbekistan,
6 Bukhara State Pedagogical Institute, Bukhara, Uzbekistan
* Corresponding author: jurakulovsanjar222@gmail.com
Solar thermal systems play a crucial role in renewable energy by converting solar radiation into thermal energy for residential, industrial, and power generation applications. Their efficiency is influenced by absorber material properties, heat transfer processes, and system design. This study explores analytical and computational methods for assessing and optimizing solar thermal system performance. Energy and exergy analyses identify inefficiencies, while Computational Fluid Dynamics (CFD) simulations enhance heat transfer modelling. Optimization techniques, including material selection, machine learning-based predictive models, and exergoeconomic analysis, contribute to improved efficiency and cost-effectiveness. By integrating experimental validation with numerical modelling, this research highlights advancements in absorber coatings, nanofluids. and thermodynamic assessment. The findings provide insights into enhancing the sustainability and efficiency of solar thermal systems, supporting their broader implementation in renewable energy applications.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

