| Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
|---|---|---|
| Article Number | 04015 | |
| Number of page(s) | 8 | |
| Section | High Energy Performance and Sustainable Buildings, Simulation models and predictive tools for the buildings HVAC, IEQ and energy | |
| DOI | https://doi.org/10.1051/e3sconf/201911104015 | |
| Published online | 13 August 2019 | |
Identifying typical hourly DHW energy use profiles in a hotel in Norway by using statistical methods
1 Department of Energy and Process Technology, Norwegian University of Science and Technology (NTNU), Kolbjørn Hejes vei 1 B, Trondheim, 7491, Norway
2 SINTEF, Department of Building and Infrastructure, P.O. Box 124 Blindern, 0314 Oslo, Norway
* Corresponding author: dmytro.ivanko@ntnu.no
The aim of this research is to improve the existing approaches of domestic hot water (DHW) energy use analysis in buildings. A comprehensive statistical analysis of hourly DHW energy use for a hotel in Oslo, Norway, was performed. To recognize the trend of DHW energy use over several years, Centered Moving Average method was applied. To increase the accuracy of DHW energy use analysis, it was proposed to identify the months and days of the week with similar characteristics of DHW energy use and build unified profiles for them. For this purpose, the approaches based on the student’s t-tests and Fisher’s test was proposed. The analysis allowed us to detect two seasons of DHW energy use. In addition, it was revealed that behavior of DHW energy use on Mondays significantly different from other working days. To recognize the timing of peak and average and low DHW energy use, method of statistical grouping of the hourly energy use was utilized. The typical profiles of DHW energy in the hotel were obtained. The profiles proposed in the present article more reliably reflect the regimes of DHW energy use in the hotel and take into account factors that have influence on DHW use.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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