Issue |
E3S Web Conf.
Volume 172, 2020
12th Nordic Symposium on Building Physics (NSB 2020)
|
|
---|---|---|
Article Number | 12001 | |
Number of page(s) | 8 | |
Section | Heating and DHW | |
DOI | https://doi.org/10.1051/e3sconf/202017212001 | |
Published online | 30 June 2020 |
Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data
1 Aarhus University, Inge Lehmanns Gade 10, 8000 Aarhus C, Denmark
2 AffaldVarme Aarhus (Department of Waste and District Heating), Karen Blixens Boulevard 7, 8220 Brabrand, Denmark
* Corresponding author: reh@eng.au.dk
Smart meters are currently being rolled out in European district heating (DH) systems at a large scale to enable time-varying district heating tariffs and improve consumer awareness about their own consumption. Smart-meter data can also be used in more advanced applications, e.g. for establishing model-based control schemes for demand response purposes and data-driven building energy performance labeling schemes. Many of these applications require separate measurements of the consumption for space heating (SH) and preparation of domestic hot water (DHW); however, smart meters often only provide the total DH energy consumption (SH+DHW) in truncated units (e.g. whole kWh on an hourly basis). Typical approaches for separating these two components of DH consumption require measurements with a high temporal and numerical resolution and are therefore not applicable to smart-meter data. New methods suitable for disaggregating the combined DH demand are therefore needed. This paper presents a validation of a model-based method for disaggregating DH consumption using ground truth data from 44 residential buildings.
© The Authors, published by EDP Sciences, 2020
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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