An MAS-based subjective model for indoor adaptive thermal comfort

Autor: Gianfranco Rizzo, Antonino Nucara, Giorgia Peri, Alfredo Pudano, Concettina Marino, Matilde Pietrafesa
Přispěvatelé: Marino, C, Nucara, A, Peri, G, Pietrafesa, M, Pudano, A, Rizzo, G.
Rok vydání: 2015
Předmět:
Zdroj: Science and Technology for the Built Environment. 21:114-125
ISSN: 2374-474X
2374-4731
DOI: 10.1080/10789669.2014.980683
Popis: The achievement of high level personalized sets of comfort parameters is contemplated within the more general context of the 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 a better energy efficient and environmental 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 the adaptivity of people to the indoor conditions is suitably achieved. In this paper a contribution to a development of the classical Fanger’s model is presented, embodying into account user’s personal preferences referring to his cognitive-emotive-relational ambit. The proposed algorithm is based on a particular Multi-Agent aimed at the assessment of subjective indoor comfort. Such subjective adaptive model is here meant as a tool for achieving an optimal control of thermal comfort conditions in buildings.
Databáze: OpenAIRE
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