Összesen 2 találat.


001-es BibID:BIBFORM010114
Első szerző:Kalmár Ferenc (gépészmérnök)
Cím:Interrelation between ACH and air temperature distribution in a room / Ferenc Kalmár, Tünde Kalmár, Imre Csáki, Géza Husi
Megjegyzések:In Hungary light structure buildings are increasing in their number because of the lower price on one hand and because of the lower energy consumption for heating on the other hand. In these buildings in summer period comfort problems may appear unless air conditioning is installed. The air conditioning systems have a high electrical energy consumption decreasing the energy quality of the building. In this context we analysed the possibility to assure the thermal comfort at higher air temperatures with higher air velocities. In the laboratory of Building Physics, University of Debrecen a series of measurements were done in order to compare the temperature, velocity and PMV distribution having different air change rate and fresh air introduced in the room in different ways. Measurements have proven that even in small rooms the PMV=0 cannot be obtained in hottest days without personalized ventilation or passive cooling
Tárgyszavak:Műszaki tudományok Gépészeti tudományok előadáskivonat
Megjelenés:ROOMVENT 2009, 111th International Roomvent Conference Proceedings : May 24- 27 May, 2009 Busan, Korea. - p. 911-917. -
További szerzők:Kalmár Tünde (1978-) (gépészmérnök) Csáky Imre (1982-) (épületgépész mérnök) Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat


001-es BibID:BIBFORM009183
Első szerző:Kalmár Tünde (gépészmérnök)
Cím:Neural network predictor for thermal comfort conditions / Tünde Kalmár, Géza Husi, Sahin Yildirim, Ferenc Kalmár, Ikbal Eski
Megjegyzések:This paper is investigated thermal comfort conditions having surface and fresh air introduced directly in a room using neural network predictors. The investigation is divided into two steps. First step; experimental room system result is obtained the Building Physics Laboratory of the Department of Building Services, University of Debrecen. The room could be heated by radiator, on the wall, on the floor and on the ceiling heating system methods. During the operation of the heating system a series of measurements are derived, involving 20 students as subjects during education, in order to establish the effects of intermittency on thermal comfort feeling. The second step of the study; according to experimental results, some neural network predictors are used modelling the experimental room. Four types of ANNs are used to compare each other. From the results, it is noted that the proposed Radial Basis Neural Network gives the best results for analyzing thermal comfort conditions.
Tárgyszavak:Műszaki tudományok Gépészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
thermal comfort
surface heating
neural networks
Megjelenés:Journal of Computer Science and Control Systems. - 2 : 2 (2009), p. 97-102. -
További szerzők:Yildirim, Şahin (1966-) (gépészmérnök) Eski, Ikbal Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök) Kalmár Ferenc (1974-) (gépészmérnök)
Internet cím:elektronikus változat
elektronikus változat
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