Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening

Table 3

Input variables of two newly designed WGET-SWHs. Reproduced with permission from Liu et al. [23].

	Tube length (mm)	Number of tubes	TCD (mm)	Tank volume (kg)	Collector area (m^2)	Angle (°)	Final temp. (°C)
Design A	1800	18	105.5	163	1.27	30	52–62
Design B	1800	20	105.5	307	1.27	30	52–62

TCD: tube center distance; final temp.: final temperature.