Comfort and energy saving are two important concepts treated in current buildings in order to maintain a good air quality reducing the energy consumption. According to International Energy Agency (IEA) buildings represent 32% of total final energy consumption, and the need for reduction of CO2 emission leads to pay attention to the energy demand in buildings. On the other hand maintaining a good-quality environment helps to improve the productivity and effectiveness of workers. Thus thermal comfort models that optimize the consumption of energy guaranteeing the comfort of occupants are gaining importance in the building sector.
This is what adaptive thermal comfort theory pursues, being the aim of this paper to develop an adaptive thermal comfort algorithm for air conditioned buildings located in Seville. Two different buildings have been chosen to perform the experiments, two operator’s room with about 15 people which are surveyed every day to carry out the field studies. Sensors have been placed around the room to measure the environmental parameters.
The main aspects treated in this paper are:
- Instrumentation required to measure the environmental parameters and its location in the room are introduced,
- The transversal and longitudinal questionnaires that are necessary to perform the field studies.
- Description of the characterization method that is going to be used in order to evaluate the energy savings.
The experimental phase lasts until the end of August 2017.