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.
Marino, C., Nucara, A., Peri, G., Pietrafesa, M., Pudano, A., & Rizzo, G. (2011). An algorithm for the assessment of subjective adaptive thermal comfort conditions based on multi-agent systems. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 3(10), 7270-7291.
Data di pubblicazione: | 2011 |
Titolo: | An algorithm for the assessment of subjective adaptive thermal comfort conditions based on multi-agent systems |
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Citazione: | Marino, C., Nucara, A., Peri, G., Pietrafesa, M., Pudano, A., & Rizzo, G. (2011). An algorithm for the assessment of subjective adaptive thermal comfort conditions based on multi-agent systems. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 3(10), 7270-7291. |
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Appare nelle tipologie: | 1.01 Articolo in rivista |