Developing an algorithm that increases temperature measurement stability for room thermostats

HVAC&R systems aim to keep the indoor temperature and air quality at comfortable conditions with the lowest energy consumption. Room thermostats are used as user interfaces in HVAC&R systems. In this thesis study, the factors affecting the ambient temperature measurement made by room thermostats through the internal sensor will be examined. As a result of the thesis, an algorithm will be tried to be developed for room thermostats that will increase the stability by minimizing the deviations in the temperature measurement. Throughout the study, temperature measurements were made on room thermostats and reference sensors that were mounted and positioned by optimal usage conditions, and deviations were examined in line with the data obtained. The algorithm was developed in line with the detected deviations and the tests were repeated until the most optimal result was obtained. As a result of the tests, it was determined that the internal temperature sensor is affected by electronic component heating due to the structure of the room thermostat. In this context, tried to calculate the variation in the deviation in temperature measurement depending on the thermostat operating time by examining a thermostat operating under load. The equation created in line with the data obtained was included in the algorithm and the margin of error in the measurements was corrected depending on time. In this way, the electronic heating and cooling processes of the thermostat are predicted by the algorithm and the deviation in temperature measurement is eliminated most optimally.