Thermal comfort conditions in the built environment are strictly related not only to the thermal and geometric building features and to air-conditioning systems, but also to the building destination, to its using profile and to the biological-metabolic-psychological characteristics of users. As a consequence, there is a strong claim for new models, both subjective and adaptive to the environment, in a particular holistic vision of the problem, with regards to the novel tern user-plant-building system. In such a frame, through the paper the characterization of an algorithm aimed at subjective adaptive thermal comfort evaluations, enriching the one proposed by Fanger with an adaptive approach, is carried out using a Multi Agent System (MAS), based on Intelligent Agents, able to follow user’s needs and preferences in different contexts and expectations.

An algorithm for the assessment of subjective adaptive thermal comfort conditions based on multi-agent systems.

Marino C.;Nucara A.;Pietrafesa M;
2011

Abstract

Thermal comfort conditions in the built environment are strictly related not only to the thermal and geometric building features and to air-conditioning systems, but also to the building destination, to its using profile and to the biological-metabolic-psychological characteristics of users. As a consequence, there is a strong claim for new models, both subjective and adaptive to the environment, in a particular holistic vision of the problem, with regards to the novel tern user-plant-building system. In such a frame, through the paper the characterization of an algorithm aimed at subjective adaptive thermal comfort evaluations, enriching the one proposed by Fanger with an adaptive approach, is carried out using a Multi Agent System (MAS), based on Intelligent Agents, able to follow user’s needs and preferences in different contexts and expectations.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/290
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