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5 24 7 3 ; OJS ; [EN] Most of the time, people perform their daily activities within buildings, making it necessary to monitor the conditions of comfort (thermal, visual and air quality) within them, trying to minimize energy consumption simultaneously. A review of techniques for comfort control in building is presented in this work. The paper also shows tesults obtained in the implementation of a hierarchical control system, which provides adequate thermal comfort inside the CDdI-CIESOL-ARFRISOL (Research Container Demonstrator – Centre for Solar Energy Research – Strategic Singular Project ARFRISOL) of the University of Almería. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4), 393-422. doi:10.1016/s1389-1286(01)00302-4 Ashrae (2005). ASHRAE Handbook - Fundamentals. Refrigerating American Society of Heating and Air-Conditioning Engineers. ASHRAE55 (1992). Thermal environment conditions for human occupancy. American Society of Heating, Ventilating and Air Conditioning Engineers. Atthajariyakul, S., & Leephakpreeda, T. (2004). Real-time determination of optimal indoor-air condition for thermal comfort, air quality and efficient energy usage. Energy and Buildings, 36(7), 720-733. doi:10.1016/j.enbuild.2004.01.017 Atthajariyakul, S., & Leephakpreeda, T. (2005). Neural computing thermal comfort index for HVAC systems. Energy Conversion and Management, 46(15-16), 2553-2565. doi:10.1016/j.enconman.2004.12.007 Awbi, H. (2003). Ventilation of Buildings. Spon Press. Bourgeois, D. (2005). Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modelling within whole-building energy simulation. PhD thesis. Université Laval, Quebec, Canada. Calvino, F., La Gennusa, M., Rizzo, G., & Scaccianoce, G. (2004). The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller. Energy and Buildings, 36(2), 97-102. doi:10.1016/j.enbuild.2003.10.004 Congradac, V., & Kulic, F. ...