2022
DOI: 10.1016/j.est.2022.105969
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A novel empirical model for predicting the heat accumulation of a thermal energy storage medium for solar thermal applications

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Cited by 8 publications
(8 citation statements)
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“…The predictive model obtained as shown in Equation (27) shows a linear relationship with the TIT to ambient temperature ratio, ambient air relative humidity, compressor pressure ratio, and exhaust gas mass flow rate with an R 2 value of 0.998. The coefficient of determination (R 2 ) obtained is satisfactory as stated by Ibrahim et al [ 32 ] and Kwasi-Effah et al [ 33 ].…”
Section: Resultssupporting
confidence: 70%
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“…The predictive model obtained as shown in Equation (27) shows a linear relationship with the TIT to ambient temperature ratio, ambient air relative humidity, compressor pressure ratio, and exhaust gas mass flow rate with an R 2 value of 0.998. The coefficient of determination (R 2 ) obtained is satisfactory as stated by Ibrahim et al [ 32 ] and Kwasi-Effah et al [ 33 ].…”
Section: Resultssupporting
confidence: 70%
“…Therefore, to predict the CO 2 mass flow rate emitted, the β parameters in Equation. (19) must be evaluated for minimum value of the sum of the square of the differences between the observations Yi and the actual curve [ 33 ]. …”
Section: Methodsmentioning
confidence: 99%
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