M. Majeed, M., S. Khalaf, B., M. Nassir, L. (2023). Statistical analysis of the vacuum solar collector using the analysis of ‎variance method. Alustath, 16(4), 273-278. doi: 10.30772/qjes.2023.180350
Marwa M. Majeed; Basima S. Khalaf; Layla M. Nassir. "Statistical analysis of the vacuum solar collector using the analysis of ‎variance method". Alustath, 16, 4, 2023, 273-278. doi: 10.30772/qjes.2023.180350
M. Majeed, M., S. Khalaf, B., M. Nassir, L. (2023). 'Statistical analysis of the vacuum solar collector using the analysis of ‎variance method', Alustath, 16(4), pp. 273-278. doi: 10.30772/qjes.2023.180350
M. Majeed, M., S. Khalaf, B., M. Nassir, L. Statistical analysis of the vacuum solar collector using the analysis of ‎variance method. Alustath, 2023; 16(4): 273-278. doi: 10.30772/qjes.2023.180350

Statistical analysis of the vacuum solar collector using the analysis of ‎variance method

Al-Qadisiyah Journal for Engineering Sciences
Article 8, Volume 16, Issue 4, December 2023, Pages 273-278    PDF (578.51 K)
Document Type: Research Paper
DOI: 10.30772/qjes.2023.180350
Authors
Marwa M. Majeed* ; Basima S. Khalaf; Layla M. Nassir
Mechanical Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq
Abstract
Space and weight constraints, as well as the time lag between energy generation and consumption, ‎are major obstacles to expanding solar water heating systems into existing structures with limited ‎space. It is possible to collect heat with this small, evacuated tube collector (ETC). It was found ‎that the air inside the glass tube has poor thermal conductivity. An experimental and numerical ‎study was performed on an evacuated tube solar collector, incorporating a heat tube with ‎cylindrical fins to increase the contact surface between the air and the fin surface. Statistical ‎analysis software is used to verify the results in practice. The temperature data was investigated ‎using SPSS under the same flow conditions. These figures are from experiments examining the ‎effect of variable volumetric flow rate, boost type, and variance analysis on temperature ‎distribution. When analyzing the results of the trials, a significant threshold of 95% was used. ‎Therefore, we compare the calculated significance to a value of 0.05 to evaluate the efficacy and ‎capabilities of the components. The reliability and validity of the model depend on the presence of ‎two components. If the resulting value is less than the significance level (0.05), then the model can ‎be considered robust and efficient (flow rate and optimization type). If the estimated value is ‎greater than that, the variables do not affect system performance. Flow rate and type of ‎enhancement are the two factors considered in the analysis of variance.
Keywords
Solar collector; Thermal performance; Analysis ANOVA; Space; Weight constraints
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