
Green Technologies and Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100161 - 100161
Published: Dec. 1, 2024
Language: Английский
Green Technologies and Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100161 - 100161
Published: Dec. 1, 2024
Language: Английский
Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 191, P. 1445 - 1460
Published: Aug. 31, 2024
Language: Английский
Citations
10Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 19, 2024
Language: Английский
Citations
7International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 84, P. 155 - 163
Published: Aug. 18, 2024
Language: Английский
Citations
6Thermal Science and Engineering Progress, Journal Year: 2024, Volume and Issue: 54, P. 102815 - 102815
Published: Aug. 23, 2024
Language: Английский
Citations
6Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 23, 2024
Language: Английский
Citations
4Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105015 - 105015
Published: April 1, 2025
Language: Английский
Citations
0Energy Storage, Journal Year: 2024, Volume and Issue: 6(6)
Published: Sept. 1, 2024
ABSTRACT This study investigates the thermal properties of lauric acid (LA) as a phase change material (PCM) using K ‐Means clustering method to analyze melting characteristics. focuses on optimization PCMs hybrid methodology analytic hierarchy process (AHP) and clustering. LA, enhanced with zinc oxide (ZnO) nanoparticles, was evaluated for its performance. LA's suitability PCM is based initial temperature, heating rate, final time melt. AHP employed determine weightage three critical outcomes: latent heat, point, conductivity. The weightages assigned were 59%, 31%, 11%, respectively, reflecting relative importance each outcome in assessing efficiency LA PCM. Furthermore, then applied categorize data these weighted outcomes. utilized input parameters, assigning 27% 15% 22% underscoring their significance analysis. optimal conditions identified an temperature 24.8°C, ieating rate 5.6°C/min, 81.4°C, melt 10.6 min. These resulted outcomes 208 J/g point 80.9°C, conductivity 0.21 W/m·K. approach provides robust framework optimizing performance, facilitating energy storage release practical applications.
Language: Английский
Citations
2Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Citations
0Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 193, P. 54 - 73
Published: Nov. 10, 2024
Language: Английский
Citations
0Green Technologies and Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100161 - 100161
Published: Dec. 1, 2024
Language: Английский
Citations
0