Philip O O Akello, Churchil O Saoke, Joseph N Kamau, Jared O H Ndeda, Uncertainty analysis and experimental validation of solar parabolic trough collector simulation model, Clean Energy, Volume 9, Issue 2, April 2025, Pages 161–176, https://doi.org/10.1093/ce/zkae115
DOI:
Philip O O Akello, Churchil O Saoke, Joseph N Kamau, Jared O H Ndeda, Uncertainty analysis and experimental validation of solar parabolic trough collector simulation model, Clean Energy, Volume 9, Issue 2, April 2025, Pages 161–176, https://doi.org/10.1093/ce/zkae115DOI:
Uncertainty analysis and experimental validation of solar parabolic trough collector simulation model
摘要
Abstract
The scope of this study is to present a novel methodology for the validation of a solar parabolic trough collector simulation model
developed in System Advisor Model software
using solar field thermal performance experimental model functions that duly account for the contributions of errors that are inherent in the collection of input experimental data. The study focuses on the uncertainty associated with the predicted thermal energy output and thermal efficiency
which were calculated by using standardized testing procedures that were developed by the National Renewable Energy Laboratory and the American Society of Mechanical Engineers. Errors due to imperfections of the experimental models used throughout the test are also counted in
as well as uncertainties attributed to the variability of meteorological conditions. The experimental tests were conducted under clear-sky and steady-state conditions in Kenya
using a prototype parabolic trough collector. The uncertainty analysis provided a realistic evaluation of the thermal performance of the prototype during testing
resulting in expanded uncertainties of 9.05% (0.104 kWhth) for thermal output and 3.66% (0.0258) for thermal efficiency. Notably
the predicted thermal output and thermal efficiency from the experimental models did not exceed observed levels
demonstrating a strong correlation between predicted and observed values
supported by R2 regression coefficients of 0.972 for thermal output and 0.989 for thermal efficiency. The comparison of the two experimental model results with the simulation outcomes validated the performance of the simulation model
as the simulation results fell within the experimental error margins. Additionally
the statistical analysis yielded significant results
with root mean square error
mean bias error
and t-statistics values for thermal energy output of 0.057
0.033
and 2.135
respectively
and for thermal efficiency
0.018
0.010
and 1.993
respectively
indicating the accuracy and reliability of the simulation model. Thus
the simulation model has been successfully validated
proving its capability to accurately predict the thermal output and efficiency of the parabolic trough collector.
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