Unifying fuzzy controller for indoor environment quality

Optimizing energy consumption while maintaining an appropriate level of comfort is one of the current challenges in the Indoor Environment Quality (IEQ) field. In this paper, we propose an unified fuzzy controller for managing the different aspects involved in IEQ, overcoming the potentially inefficient interactions between several traditional controllers. We also describe the implemented web simulator to test the controller, and the results of applying the controller to a pilot room, measuring the air quality over a period of a month. Even though, further research and experimentation should be done, specially with the experts in order to fine tuning the rules and the controller, initial results are promising enough and the ease of use is quite remarkable by users.