All data text files were imported into Excel for data analysis. Temperature and humidity sensor data collected was used to calculate the expected water production volume for each trial using MAS curve fit parameters and psychrometric curve fit parameters. The resulting expected production volumes were compared to the actual experiment production volume. The estimated production volume was consistently underestimated. The cause was isolated to the fluctuations in the MAS sensor output data. The turbulent airflow caused by the circulating fan and the close proximity of the MAS caused significant fluctuations in the sensor readings, making the resulting calculations unreliable for estimating water production.
Solar insolation sensor data from the BPW34 was used to correlate water production volumes versus solar input. Typical water production volumes versus solar input for a typical solar still design were compared to the experiment Setup #1 and Setup #2 water production volumes. Water production efficiency was calculated for experiment Setup #1 and Setup #2. The water production efficiency of Setup #1 and Setup #2 were compared.
Finally, the average daily solar insolation values for South Florida were used to calculate the expected average daily water production volumes for experiment Setup #1 and Setup #2.