Details
| Original language | English |
|---|---|
| Article number | 56 |
| Number of pages | 11 |
| Journal | Scientific data |
| Volume | 9 |
| Issue number | 1 |
| Early online date | 15 Feb 2022 |
| Publication status | Published - Dec 2022 |
Abstract
This paper describes a dataset of residential electricity household and heat pump load profiles, measured in 38 single-family houses in Northern Germany. We provide data per household of apparent, active and reactive power (W), voltage (V), current (A) and the power factor (no unit) in 10 seconds to 60 minutes temporal resolution from May 2018 to the end of 2020. We validated the dataset both in itself, comparing different measurements that should produce the same results, and externally to standard load profiles and found no major inconsistencies. We identified an average consumption per single-family house with 2.38 inhabitants of 2829 kWh for the household and an additional 4993 kWh for the heat pump. The dataset can support the understanding of patterns in electrical load curves and can help to estimate the additional load on distribution networks induced by heat pumps.
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Education
- Computer Science(all)
- Computer Science Applications
- Decision Sciences(all)
- Statistics, Probability and Uncertainty
- Social Sciences(all)
- Library and Information Sciences
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In: Scientific data, Vol. 9, No. 1, 56, 12.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Dataset on electrical single-family house and heat pump load profiles in Germany
AU - Schlemminger, Marlon
AU - Ohrdes, Tobias
AU - Schneider, Elisabeth
AU - Knoop, Michael
N1 - Funding Information: This research was conducted as part of the project Wind-Solar-Heat Pump District - Heat Pumps driven with renewable energy for minimizing primary energy demand, supported by Federal Ministry for Economic Affairs and Energy under the funding code 03ET1444A.
PY - 2022/12
Y1 - 2022/12
N2 - This paper describes a dataset of residential electricity household and heat pump load profiles, measured in 38 single-family houses in Northern Germany. We provide data per household of apparent, active and reactive power (W), voltage (V), current (A) and the power factor (no unit) in 10 seconds to 60 minutes temporal resolution from May 2018 to the end of 2020. We validated the dataset both in itself, comparing different measurements that should produce the same results, and externally to standard load profiles and found no major inconsistencies. We identified an average consumption per single-family house with 2.38 inhabitants of 2829 kWh for the household and an additional 4993 kWh for the heat pump. The dataset can support the understanding of patterns in electrical load curves and can help to estimate the additional load on distribution networks induced by heat pumps.
AB - This paper describes a dataset of residential electricity household and heat pump load profiles, measured in 38 single-family houses in Northern Germany. We provide data per household of apparent, active and reactive power (W), voltage (V), current (A) and the power factor (no unit) in 10 seconds to 60 minutes temporal resolution from May 2018 to the end of 2020. We validated the dataset both in itself, comparing different measurements that should produce the same results, and externally to standard load profiles and found no major inconsistencies. We identified an average consumption per single-family house with 2.38 inhabitants of 2829 kWh for the household and an additional 4993 kWh for the heat pump. The dataset can support the understanding of patterns in electrical load curves and can help to estimate the additional load on distribution networks induced by heat pumps.
UR - http://www.scopus.com/inward/record.url?scp=85124679517&partnerID=8YFLogxK
U2 - 10.15488/13090
DO - 10.15488/13090
M3 - Article
C2 - 35169142
AN - SCOPUS:85124679517
VL - 9
JO - Scientific data
JF - Scientific data
SN - 2052-4463
IS - 1
M1 - 56
ER -