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Steffen Petersen

Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

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Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data. / Hedegaard, Rasmus Elbæk; Kristensen, Martin Heine; Petersen, Steffen.

I: E3S Web of Conferences, Bind 172, 12001, 06.2020.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

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@inproceedings{7661070a6546400b95965e92f582f25f,
title = "Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data",
abstract = "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.",
author = "Hedegaard, {Rasmus Elb{\ae}k} and Kristensen, {Martin Heine} and Steffen Petersen",
year = "2020",
month = jun,
doi = "10.1051/e3sconf/202017212001",
language = "English",
volume = "172",
journal = "E3S Web of Conferences",
issn = "2267-1242",
publisher = "EDP Sciences",
note = "12th Nordic Symposium on Building Physics, NSB 2020 ; Conference date: 06-09-2020 Through 09-09-2020",

}

RIS

TY - GEN

T1 - Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

AU - Hedegaard, Rasmus Elbæk

AU - Kristensen, Martin Heine

AU - Petersen, Steffen

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85088469418&partnerID=8YFLogxK

U2 - 10.1051/e3sconf/202017212001

DO - 10.1051/e3sconf/202017212001

M3 - Conference article

AN - SCOPUS:85088469418

VL - 172

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2267-1242

M1 - 12001

T2 - 12th Nordic Symposium on Building Physics, NSB 2020

Y2 - 6 September 2020 through 9 September 2020

ER -