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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

Krstić, Hrvoje ; Teni, Mihaela Analysis of energy performance and buildings characteristics obtained from Croatian energy management information system // International Journal of Structural and Civil Engineering Research / Jay Kim ; Jang-Ho (ur.). 2017. str. 252-258 doi: 10.18178/ijscer.7.3.252-258

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).

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Podaci o prilogu

252-258.

2017.

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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

Povezanost rada

Građevinarstvo

Poveznice