## Contents

- Water Generator Project
- Orphanage Solar Project
- Home Solar Project
- Hospital Solar Project
- Water Filter Project

**Water Generator Project Update**

**De-Humidifier condensation data**

** **The graph highlights the condensation rates, in liters, of the de-humidifier, when operated at different weather conditions at different periods of time. It is difficult to completely decipher the data just by looking at the table due to a number of variables, time, relative humidity, atmospheric temperature etc, but the impact of Relative humidity (RH) on the water output is prominent. With increasing RH (keeping time constant) the water output increases (test number 1 and 3) . In order to clearly understand the information illustrated by our set of readings and take into account all of the major variables, we have taken the help of the software Minitab to generate a linear model of the readings. Linear regression is a mathematical approach used to construct a linear model of the data. Linear regression finds the co-relation between one or more variables, x or x1 x2 and so on, and the output, y. With the help of this linear model, we can accurately predict the amount of water generated by our de-humidifier at different atmospheric conditions.

**DATA****:**

**LINEAR MODEL EQUATION****:**

**PREDICTION USING THE EQUATION****:**

In conclusion, our regression equation predicts the condensation rate with a high accuracy. It’s safe to say that it takes into account all the major variables that affect condensation rate. As seen from the data and predicted by the equation the output is dependent mainly on RH value (higher the RH value higher the condensation rate). RH and Temperature are inversely proportional to each other. If temp of the air rises and water content remains the same RH decreases. Both RH and temp affect the output.

**De-humidifier Performance Curve**

The four graphs illustrate a general trend of Liters produced by the De-humidifier per KWH (unit of energy). The variables are relative humidity (RH) and temperature. The blue line represents the Liters of water produced per KWH at a RH of 73%. As the temperature rises from 29 ̊ C to 35 ̊ C we can see that the amount of water produced per KWH decreases. This is true for all the 4 graphs.

**THE IMPACT OF FILTERS ON THE DEHUMIDIFIER OUTPUT**

It was observed that the output of the dehumidifier was far from the one that was predicted by the equation when its filters were dirty. The job of the filter is to remove dust particles from the air, so that when it is condensed the water is free from dirt. As the filters collect more and more dust and suspended particles; the airflow to the dehumidifier decreased, resulting in less water molecules available to be turned in to liquid water. To sum up, the filters of the Dehumidifier need to be cleaned regularly otherwise efficiency will drop.

**WATER QUALITY REPORT**

The water produced by the dehumidifier was given to the Pakistan Council of Research in Water Resources (PCRWR) to find out whether it’s safe to drink or not. Largely the report is self explanatory. Amount of metals eg Calcium, magnesium, arsenic etc are well below the allowed permissible limits set by the American Public Health Association (APHA), significant amounts of Dissolved solids (TDS) were not found. Amount of bacteria (Total Caliform) was found to be 0, no E-Coli (bacteria that affects the stomach and the intestines) was found. The amount of Turbidity (suspended or dissolved particles in water that make it murky) was approximately 1 compared to the Max Allowed value of 5 by APHA. The water is therefore fit for human consumption.