ON THE USE OF DETERMINISTIC AND INTELLIGENT TECHNIQUES TO PREDICT THE AIR VELOCITY DISTRIBUTION ON EXTERNAL OPENINGS IN SINGLE-SIDED NATURAL VENTILATION CONFIGURATIONS

Abstract Four single-sided natural ventilation experiments were carried out in a test cell, a full-scale outdoor facility in Athens, Greece. During the experiments air velocity data at various heights at the vertical centerline of the opening were collected. Various mathematical approaches were used for the prediction of the air velocity at the door level, using experimentally derived parameters as inputs. Deterministic as well as intelligent techniques were applied in an attempt to determine the potential of each of these approaches in predicting the air velocity with accuracy. In the frame of the first category, correlation techniques, pressure models and CFD models were studied. The intelligent techniques involved an application of fuzzy theory for the prediction of the air velocity at the opening level. The response of each of the above methodologies is discussed in this paper.

[1]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[2]  J. I. Kindangen,et al.  Effects of roof shapes on wind-induced air motion inside buildings , 1997 .

[3]  Mattheos Santamouris,et al.  On the combination of air velocity and flow measurements in single sided natural ventilation configurations , 1996 .

[4]  Jefrey I Kindangen.  Artificial neural networks and naturally ventilated buildings : A method of predicting window size and location with subsequent effect on interior air motion using neural networks , 1996 .

[5]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

[6]  Anastasios I. Dounis,et al.  Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings , 1996 .

[7]  F. Allard,et al.  NATURAL VENTILATION RESEARCH ACTIVITIES UNDERTAKEN IN THE FRAMEWORK OF PASCOOL , 1997 .

[8]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[9]  Edward Arens,et al.  The prediction of indoor air motion for occupant cooling in naturally ventilated buildings , 1991 .

[10]  Theodore Stathopoulos,et al.  Application of two-layer methods for the evaluation of wind effects on a cubic building , 1996 .

[11]  George N Walton,et al.  AIRNET - a computer program for building airflow network modeling , 1989 .

[12]  Elena G. Dascalaki,et al.  Predicting single sided natural ventilation rates in buildings , 1995 .

[13]  Mario Grosso,et al.  Fundamentals of the Multizone Air Flow Model - COMIS , 1990 .

[14]  Muriel Regard.  Contribution à l'étude des mouvements d'air dans le bâtiment à l'aide d'un code de champ : application à la ventilation naturelle d'un local par une ou deux grandes ouvertures , 1996 .

[15]  Anastasios I. Dounis,et al.  Thermal-comfort degradation by a visual comfort fuzzy-reasoning machine under natural ventilation , 1994 .