Softeco has created an innovative application for mobile devices. The activity is part of the Predict project (adaptability plan of energy efficiency for the consumption of non-residential buildings) financed by the Liguria Region on measure 1.2.4 Research and Innovation.
The application aims to gather feedback from perceived comfort in large buildings. The purpose is to relate this data to optimize the use of cooling and heating systems.
The energy efficiency of the building is thus improved by considering the welfare of the occupants as an indicator. In this phase of the project the InComfort app is being tested at the University of Genoa: presented and used by students and teachers of the DISFOR department (Department of Educational Sciences).
The InComfort app uses the person’s feedback as an additional “sensor” allowing students and teachers to select the classroom in which they are located and vote on the basis of 5 types of judgment, through an intuitive and user-friendly interface.
Additional data can be provided, such as worn clothing or physical activity, in order to check whether the temperature perception may have been altered by the activity performed or by excessive or insufficient worn clothing. You can also view the building’s plants and see through different colors, the average rating of the other occupants for a specific area.
The participation of the students, allows to have further elements of evaluation to act on the regulation of heating and air conditioning systems, to improve efficiency and reduce consumption. This information is integrated with data from occupancy sensors, internal temperature, and weather data, allowing the building control to be dynamically refined.
The presentation and use of the tool also makes it possible to convey information on the topic of consumption reduction and to encourage attention and virtuous behavior on the part of the students participating in the initiative.
The next phase of the project involves the implementation of control algorithms also through the integration of user feedback data, to optimize and make efficient the building involved in the project.