TY  - JOUR
AU  - Vámos, Viktória
AU  - Horváth, Miklós
TI  - The effect of building refurbishment and changing occupancy on the district heating consumption of multifamily buildings: Case study of Miskolc, Hungary
JF  - JOURNAL OF BUILDING ENGINEERING
J2  - J BUILDING ENG
VL  - 81
PY  - 2024
PG  - 15
SN  - 2352-7102
DO  - 10.1016/j.jobe.2023.108132
UR  - https://m2.mtmt.hu/api/publication/34395502
ID  - 34395502
N1  - Export Date: 11 December 2023            
            Correspondence Address: Horváth, M.; Department of Building Services and Process Engineering, Műegyetem rkp. 3, Hungary; email: horvath.miklos@gpk.bme.hu
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Vámos, Viktória
AU  - Horváth, Miklós
TI  - Evaluation of District Heating Patterns for Hungarian Residential Buildings: Case Study of Budapest
JF  - ENERGY AND BUILDINGS
J2  - ENERG BUILDINGS
VL  - 284
PY  - 2023
PG  - 14
SN  - 0378-7788
DO  - 10.1016/j.enbuild.2023.112833
UR  - https://m2.mtmt.hu/api/publication/33625870
ID  - 33625870
N1  - Correspondence Address: Horváth, M.; Department of Building Services and Process Engineering, Műegyetem rkp. 3., Hungary; email: horvath.miklos@gpk.bme.hu
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Szili, Bettina Viktória
AU  - Vámos, Viktória
AU  - Horváth, Miklós
TI  - Tipizált lakóépület energiaigényének modellezése dinamikus épületszimulációval
JF  - MAGYAR ÉPÜLETGÉPÉSZET
J2  - MAGYAR ÉPÜLETGÉPÉSZET
VL  - 71
PY  - 2022
IS  - 4
SP  - 3
EP  - 9
PG  - 7
SN  - 1215-9913
UR  - https://m2.mtmt.hu/api/publication/32809366
ID  - 32809366
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Vámos, Viktória
AU  - Horváth, Miklós
TI  - Residential domestic hot water consumption analysis for multifamily buildings supplied by district heating
JF  - THERMAL SCIENCE
J2  - THERM SCI
VL  - 26
PY  - 2022
IS  - 2 Part B
SP  - 1267
EP  - 1276
PG  - 12
SN  - 0354-9836
DO  - 10.2298/TSCI200505190V
UR  - https://m2.mtmt.hu/api/publication/32058639
ID  - 32058639
N1  - Export Date: 30 June 2022            
            Correspondence Address: Vamos, V.; Department of Building Services and Process Engineering, Hungary
AB  - The exact knowledge of domestic hot water (DHW) and heat consumption is necessary in the process of heat cost allocation and planning. In Hungary, heat cost allocation is based on summer months' heat demand. This method does not lead to an accurate result due to the fact that the DHW demand varies throughout the year. There are several studies dealing with consumption data analysis, but only some of them have exact estimations on DHW usage patterns the Central-Eastern European countries. In this paper the DHW consumption was analyzed in 115 "commi block" buildings, which are common in Central-Eastern Europe and Russia and are usually connected to the district heating network. The examined buildings are located in Budapest, Hungary. The installation of the monitoring system has started in December 2012. The consumption data is collected since March 2014. The DHW usage was calculated in different cases for every month: per heated area, per heated volume, and per flat. Average daily and annual data was also determined, the share of yearly DHW consumption over the months was calculated. The average daily and annual DHW consumption are 126 L per flat and 892 L per m(2), respectively. The average net heat consumption is 28.2 kWh/m(2) annually. Different DHW demand influencing factors were examined: the outdoor temperature and the residents' travelling habit is clearly influencing the DHW usage but no connection was found between the DHW consumption and economic indicators. The DHW consumption is approximately 30% higher in the winter than in the summer.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Czétány, László
AU  - Vámos, Viktória
AU  - Horváth, Miklós
AU  - Szalay, Zsuzsa
AU  - Mota-Babiloni, Adrián
AU  - Deme Bélafi, Zsófia
AU  - Csoknyai, Tamás
TI  - Development of electricity consumption profiles of residential buildings based on smart meter data clustering
JF  - ENERGY AND BUILDINGS
J2  - ENERG BUILDINGS
VL  - 252
PY  - 2021
PG  - 19
SN  - 0378-7788
DO  - 10.1016/j.enbuild.2021.111376
UR  - https://m2.mtmt.hu/api/publication/32215198
ID  - 32215198
N1  - Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Building Services and Process Engineering, Műegyetem rkp 3, Budapest, 1111, Hungary              
ISTENER Research Group, Department of Mechanical Engineering and Construction, Universitat Jaume I (UJI), Castelló de la Plana, E-12071, Spain            
            Export Date: 23 September 2021
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Horváth, Miklós
AU  - Czétány, László
AU  - Vámos, Viktória
TI  - Occupant Behaviour Profile Development based on Smart Meter Data
T2  - 5th International Symposium on Occupant Behaviour
PY  - 2020
SP  - 15
EP  - 15
PG  - 1
UR  - https://m2.mtmt.hu/api/publication/32549604
ID  - 32549604
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Horváth, Miklós
AU  - Kovács, Helga
AU  - Vámos, Viktória
AU  - Deme Bélafi, Zsófia
AU  - Csoknyai, Tamás
ED  - Howard, Bianca
ED  - Oraiopoulos, Argyris
ED  - Brembilla, Eleonora
TI  - Theory and reality: a Comparative analysis of standard and real building usage and impact of input simplifications
T2  - Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual)
PY  - 2020
SP  - 1
EP  - 8
PG  - 1
UR  - https://m2.mtmt.hu/api/publication/31804209
ID  - 31804209
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Vámos, Viktória
AU  - Czétány, László
AU  - Horváth, Miklós
AU  - Csoknyai, Tamás
ED  - Sikula, Ondrej
ED  - Bartak, Martin
TI  - Energy Consumption Cluster Analysis In Hungarian Buildings
T2  - Simulace budov a techniky prostredi 2020
PB  - IBPSA-CZ
CY  - Brno
SN  - 9788090742314
PY  - 2020
SP  - 101
EP  - 106
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/31790369
ID  - 31790369
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Vámos, Viktória
AU  - Czétány, László
AU  - Horváth, Miklós
AU  - Csoknyai, Tamás
TI  - Gas Consumption Analysis for Educational Buildings
JF  - VYTAPENI VETRANI INSTALACE
J2  - VYTAPENI VETRANI INSTALACE
VL  - 29
PY  - 2020
IS  - 6
SP  - 327
EP  - 331
PG  - 5
SN  - 1210-1389
UR  - https://m2.mtmt.hu/api/publication/31787236
ID  - 31787236
N1  - Export Date: 20 January 2021            
            Correspondence Address: Vámos, V.; Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Building Services and Process EngineeringHungary; email: vamos@epget.bme.hu
AB  - A vast energy consumption database is available in the framework of the research project entitled “Large Scale Smart Meter Data Assessment for Energy Benchmarking and Occupant Behaviour Profile Development of Building Clusters”. The database contains consumption data for approximately 10,000 buildings. Amongst the smart metered buildings, there are both residential and non-residential types. This research aims to identify different consumer groups and energy consumption profiles for various building types. For this study, a small sample was selected, which includes 76 school buildings. The energy consumption data are examined by using different clustering techniques: K-means, Fuzzy K-means, and Agglomerative Hierarchical Clustering Methods. In this artic le, the current sta te of our research is summarised.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Vámos, Viktória
AU  - Horváth, Miklós
TI  - Használati melegvíz fogyasztási adatok vizsgálata budapesti távfűtött panelépületekben
JF  - MAGYAR ÉPÜLETGÉPÉSZET
J2  - MAGYAR ÉPÜLETGÉPÉSZET
VL  - 69
PY  - 2020
IS  - 5
SP  - 3
EP  - 7
PG  - 5
SN  - 1215-9913
UR  - https://m2.mtmt.hu/api/publication/31340492
ID  - 31340492
LA  - Hungarian
DB  - MTMT
ER  -