Therefore, a new algorithm is needed for this control system, which must necessarily consider the real construction characteristics of the indoor ambience as well as the occupantsвЂ™ habits. In this context, most control systems present an adequate accuracy in controlling indoor ambiences but, as mentioned earlier, this is insufficient. Normally, statistical approaches were employed, while recently, fuzzy and neural approaches have been proposed. To solve this problem several researchers have investigated the relationships between room conditions and thermal comfort. Consequently, the thermal comfort conditions are beyond the range of optimal behaviour, and further, of energy consumption. Despite this, as each building presents its own constructional characteristics and habits of its occupants, most common control systems do not factor in these variations. Most often the set point and working periods of the Heating Ventilating and Air Conditioning system (HVAC) can be adjusted to suit the indoor conditions expected within a building. It is best defined as a condition of the mind which expresses satisfaction with the thermal environment, and therefore, it is dependent on the individualвЂ™s physiology and psychology.

However, it is a very ambiguous term and a concept that is difficult to represent on modern computers. Thermal comfort plays a vital role in any working environment.

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