Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption

• 主要な著者: Praveen Kumar K., Khedkar R., Sharma P., Elavarasan R.M., Paramasivam P., Wanatasanappan V.V., Dhanasekaran S.
• その他の著者: 58862797200
• フォーマット: 論文
• 出版事項: Elsevier Ltd 2025
• 主題: Adaptive boosting; Forestry; Machine learning; Nanofluidics; Solar heating; Solar thermal energy; Thermal conductivity; Direct solar; Higher efficiency; Machine-learning; Nanofluids; Optimisations; Property; Red mud; Solar thermal; Thermal absorptions; Thermal-efficiency; Specific heat

The utilization of nanofluids (NFs) holds promise for enhancing the thermal efficiency of solar thermal collectors. Among the various NF solutions, red mud (RM) NFs have gained attention due to their effective absorption of solar thermal energy. RM comprises precious metal oxides, making it a profic...