Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings

This paper investigates the performance of a fuzzy reasoning machine for the control of indoor air quality in naturally ventilated buildings. Simulations have been performed using a new airflow and pollutant transport model, which has been developed and validated for this purpose; CO 2 concentration...

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Veröffentlicht in:Applied energy 1996-05, Vol.54 (1), p.11-28
Hauptverfasser: Dounis, A.I., Bruant, M., Guarracino, G., Michel, P., Santamouris, M.
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container_end_page 28
container_issue 1
container_start_page 11
container_title Applied energy
container_volume 54
creator Dounis, A.I.
Bruant, M.
Guarracino, G.
Michel, P.
Santamouris, M.
description This paper investigates the performance of a fuzzy reasoning machine for the control of indoor air quality in naturally ventilated buildings. Simulations have been performed using a new airflow and pollutant transport model, which has been developed and validated for this purpose; CO 2 concentration was used as the indoor-air quality (IAQ) index for these simulations. Results have shown that satisfactory IAQ levels can be maintained, while good stability of the control parameter (i.e. window opening area) was achieved. The impact of such a controller on indoor-air temperature was also studied. The performances were not as good as expected, but were not negligible when compared with the normal conditions of use of the building.
doi_str_mv 10.1016/0306-2619(95)00050-X
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source RePEc; Access via ScienceDirect (Elsevier)
subjects Air conditioning. Ventilation
Air pollution control
Air quality
Applied sciences
Buildings
Carbon dioxide
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Heating, air conditioning and ventilation
Q1
Ventilation
title Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings
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