Cooler Efficiency

When relying on home climate systems for maintaining the temperature and humidity at constant levels, one can’t help but wonder about the efficiency of such systems and their inherent processes that are at the core of offering climate control. In an attempt to offer insights into such topics, Cooler Efficiency was designed, as a sensor component for computing the efficiency in percentages of the evaporative air conditioning you might be running.
If the said air conditioning system relies on given sensory inputs such as temperature, humidity, as well as atmospheric pressure, it will enable users to perform empirical tests in order to determine the optimal fan speed for the evaporative air conditioner.
Deployed as a collection of PY format files, the sensor component can be tweaked by altering the determinant parameters from the code. Users must be aware though that this component will require the wet-bulb temperature (WBT), in order to achieve a more accurate measurement of the evaporation’s cooling effect. The developer was kind enough to provide a detailed tutorial here.
Last but not least, the sensor component can be linked with another component set, called “meteorologic_metrics”, which will automatically compute the required WTB values.