Abstract

The article presents the analysis of the hot water consumption in apartment buildings. This study was conducted basing on the data gathered from 626 apartments during two following years. By statistical analysis of the collected data, the correlation between the DHW consumption and both the size of the apartments and the number of occupants in the dwellings was evaluated. The dependencies between the hot water consumption and these two parameters were calculated. The results were compared to the data available in the literature. The article lists the areas of the greatest inaccuracies in the calculations basing on the available indicators and proposes an alternative method that corrects them. The results were used to develop a calculation model for daily hot water usage in multi-apartment buildings.

Highlights

  • Climate changes, rising energy costs and concerns about the energy security require careful analysis of the energy consumption

  • The size of the hot water consumption has a significant impact on the energy consumption

  • In the further part of the study the authors analyzed the statistical data from the area of Dolny Śląsk and on this basis proposed a different computational model of the hot water consumption in residential buildings

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Summary

Introduction

Climate changes, rising energy costs and concerns about the energy security require careful analysis of the energy consumption. The size of the hot water consumption has a significant impact on the energy consumption. Consumption of hot water in residential buildings depends on many factors, sociological and technical, that are often impossible to determine. A typical variable used to describe water consumption is the average consumption of water per capita. It is debatable, because it is difficult to determine the number of people living in a building. The main parameters, which are known and can be used as a basis for estimating the consumption of hot water is the number of flats in a multi-apartment building, size of the housing and the sanitary equipment of dwellings. Researchers use different approaches to this problem, as shown of the article

Modeling the consumption of hot water
The measured data
Analysis method
Results discussion
Average daily model of hot water consumption
Conclusions
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