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1 Journal of New Technologies in Environmental Science

1 2018

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Building thermal state and technical systems dynamic modeling

Deshko V. I., Sukhodub I. O., Yatsenko O. I.

Journal of New Technologies in Environmental Science

2018

Vol. 2, nr 1

36--46

Public and residential buildings are significant consumers of heat energy in Ukraine. According to [1] 44% of the heat energy is consumed by the housing and communal sector, while 42% of it falls on central heating systems. Therefore, to ensure the energy resources rational use an effective approach to the heating systems design is needed. Building energy modeling software can be used for decision-making to enhance energy efficiency during the building design and operation phases [2, 3]. The definition and prediction of buildings energy consumption for heating can be made using different approaches. Some papers deal with statistical processing of real energy consumption data gathered by monitoring systems or simulation results [4]. The considered approach includes regression, artificial neural network and fuzzy logic analysis for prediction [5, 6]. Such methods of analysis are suitable for existing building and require measuring tools, including appliances for collecting data on energy consumption, temperatures, solar radiation etc. Quasi-stationary approaches for estimating energy consumption for heating are currently used in Ukraine for building energy certification during design and operation phases [7]. Dynamic approach using simplified hourly method (5R1C) is becoming used to investigate building thermal state [8].