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Statistical properties of domestic hot water consumption

Authors: N. Beeker, P. Malisani, N. Petit, 12th REHVA World Congress, CLIMA 2016, 22–25 May 2016, Aalborg
This article studies some of the statistical properties of domestic hot water (DHW) consumption. The study is based on experimental data obtained for a group of households, over a 1 year period. To describe the consumptions, we consider three representative statistical properties of the drain sequence associated to each household: i) the distribution of the magnitude of the drains, ii) a daily pattern of the start times of consumptions, iii) the time between two successive drains. A remarkable outcome of the study is that the time between two successive drains follows a bimodal Weibull distribution. This opens perspectives for piloting applications.
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BibTeX
@Proceedings{2017-01-23,
author = {N. Beeker, P. Malisani, N. Petit},
editor = {},
title = {Statistical properties of domestic hot water consumption},
booktitle = {12th REHVA World Congress, CLIMA 2016},
volume = {},
publisher = {},
address = {Aalborg},
pages = {},
year = {2016},
abstract = {This article studies some of the statistical properties of domestic hot water (DHW) consumption. The study is based on experimental data obtained for a group of households, over a 1 year period. To describe the consumptions, we consider three representative statistical properties of the drain sequence associated to each household: i) the distribution of the magnitude of the drains, ii) a daily pattern of the start times of consumptions, iii) the time between two successive drains. A remarkable outcome of the study is that the time between two successive drains follows a bimodal Weibull distribution. This opens perspectives for piloting applications},
keywords = {energy storage, hot water consumption, stochastic, smart operator}}
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