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2 Journal of New Technologies in Environmental Science

2 2018

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Mathematical models for determination of specific energy need for heating used in Ukraine

Bilous I. Y., Deshko V. I., Sukhodub I. O.

Journal of New Technologies in Environmental Science

2018

Vol. 2, nr 1

13--25

The efficiency of energy use is a relevant issue nowadays due to the exhaustion of fossil energy resources. The main consumer of thermal energy is residential and public buildings. One of the key indicators that characterize efficient energy use for heating purpose is the specific value per unit area and/or volume. Therefore, particular attention is paid to the methods for determining the energy need for heating, on the basis of which the values of specific energy efficiency indicators are calculated, to find out the possible level of energy saving in the building. The lack of building energy need adequate assessment in Ukraine leads to the fact that unlike the EU, it is impossible to determine the basis for comparing the current level of energy efficiency of the real estate sector and to establish realistic goals for its improvement in the long term perspective. Solving these problems, analyzing the actual data and obtaining data for energy consumption adjusted to standard conditions require the use of calculation methods and mathematical models for different purposes. This paper is devoted to the study of various methods application features used to determine energy need for heating, which there are a large number [1].

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].