Analysis of energy performance and buildings characteristics obtained from Croatian energy management information system (CROSBI ID 655447)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Krstić, Hrvoje ; Teni, Mihaela
engleski
Analysis of energy performance and buildings characteristics obtained from Croatian energy management information system
Analysis presented in this paper utilizes large-scale public sector buildings database obtained from the Croatian energy management information system – EMIS. EMIS system is an on-line application for monitoring and analysis of energy and water consumption in Croatian buildings. Those buildings are mostly public sector buildings, buildings owned by cities, counties and the Government of the Republic of Croatia. Part of EMIS system database presented in this paper comprises over 3500 public sector buildings and contains among other complex data relevant information regarding buildings characteristics and their energy performance. Analysis presented in this research was done in order to statistically analyze buildings from EMIS system database according to their age, purpose, building technology, climatic data, building size and number of users. Further, research results regarding existing average U- values of transparent and opaque parts of buildings as well as energy performance of buildings are also presented. Descriptive statistics of building characteristics for buildings dataset was conducted in order to get the mean value, standard deviation, minimal and maximal values of selected characteristic variables. Presented research is a preliminary analysis for further analysis that is more complex, clustering, machine learning and for the development of energy performance predictive models.
Energy management information system, public sector buildings database, building characteristics, building technology, statistical analysis
Amsterdam, Netherlands, 11-13 December, 2017. This work has been fully supported by Croatian Science Foundation under Grant No. IP-2016-06- 8350 "Methodological Framework for Efficient Energy Management by Intelligent Data Analytics" (MERIDA).
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
252-258.
2017.
nije evidentirano
objavljeno
10.18178/ijscer.7.3.252-258
Podaci o matičnoj publikaciji
International Journal of Structural and Civil Engineering Research
Jay Kim ; Jang-Ho
2319-6009
Podaci o skupu
International Conference on Architecture, Materials and Construction (ICAMC 2017)
predavanje
11.12.2017-13.12.2017
Amsterdam, Nizozemska