An MAS-based subjective model for indoor adaptive thermal comfort

The achievement of high level personalized sets of comfort parameters is contemplated within the more general context of so-called smart buildings, where people, by means of the new communication technologies, become active actors to the process of the singling out and control of the best indoor conditions. This dynamic intelligence approach would usefully contribute to better energy-efficient and environment-friendly management of buildings. Multi-agent schemes are suitable tools in this aim, since they are able to manage the user-building-plant system, where adaptivity of people to indoor conditions is suitably achieved. In this article, a contribution to the development of the classical Fanger's model is presented, embodying a user's personal preferences referring to his/her cognitive-emotive-relational ambit. The proposed algorithm is based on a particular multi-agent aimed at the assessment of subjective indoor comfort. Such a subjective-adaptive model is meant herein as a tool for achieving an optimal control of thermal comfort conditions in buildings.