Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study
A novel method for designing water-in-glass evacuated tube SWHs was proposed. 3.538125 × 108 combinations of extrinsic properties were screened by a machine learning model. Two new designs with high predicted heat collection rates (HCRs) were installed & measured. The two new designs had higher measured HCRs than all the 915 samples in our previous database.