Dataset of smart heat and water meter data with accompanying building characteristics

Markus Schaffer; Martin Veit; Anna Marszal-Pomianowska; Martin Frandsen; Michal Zbigniew Pomianowski; Emil Dichmann; Christian Grau Sørensen; Jesper Kragh

Dataset of smart heat and water meter data with accompanying building characteristics

Markus Schaffer, Martin Veit, Anna Marszal-Pomianowska^*, Martin Frandsen, Michal Zbigniew Pomianowski, Emil Dichmann, Christian Grau Sørensen, Jesper Kragh

^*Corresponding author for this work

Research output: Working paper/Preprint › Working paper › Research

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Abstract

The data presented were collected from 34884 commercial smart heat meters and 10765 commercial smart water meters with a span of up to 5 years (2018 - 2022), all located in buildings within the Aalborg Municipality. In addition, building characteristics from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data were collected for each building, resulting in up to 86 different characteristics per building. All smart meter data was processed using an established method to obtain equidistant data without erroneous values. The building characteristics derived from the EPCs were filtered based on rule sets to increase the quality of the data. All data can be linked. It is expected that researchers in the built environment, district heating and water sectors will find such a dataset of great value.

Original language	English
Number of pages	23
Publication status	Published - 2023

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FOREFRONT: From conventional towards energy optimized and smart building – framing a new paradigm in utilisation of smart heat data
Marszal-Pomianowska, A. (PI), Schaffer, M. (Project Participant), Vera-Valdés, J. E. (Project Participant) & Tvedebrink, T. (CoPI)
01/06/2021 → 31/08/2024
Project: Research
PRELUDE: Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization
Pomianowski, M. Z. (Project Coordinator), Pereira, D. H. L. E. (Project Participant), Marszal-Pomianowska, A. (Project Participant), Johra, H. (Project Participant), Jensen, R. L. (Project Participant), Frandsen, M. (Project Participant), Holmene, C. F. (Project Manager), Veit, M. (Project Participant) & Bock, A. R. (Project Manager)
01/12/2020 → 31/05/2024
Project: Research
EDYCE: Energy Flexible Dynamic Building Certification
Pomianowski, M. Z. (Project Coordinator), Larsen, O. K. (Project Participant), Hu, Y. (Project Participant), Wittchen, K. B. (Project Participant), Pereira, D. H. L. E. (Project Participant) & Bock, A. R. (Project Manager)
01/09/2020 → 31/08/2023
Project: Research

1 Journal article

Dataset of smart heat and water meter data with accompanying building characteristics
Schaffer, M., Veit, M., Marszal-Pomianowska, A., Frandsen, M., Pomianowski, M. Z., Dichmann, E., Sørensen, C. G. & Kragh, J., Feb 2024, In: Data in Brief. 52, 16 p., 109964.
Research output: Contribution to journal › Journal article › Research › peer-review

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Dataset of smart heat and water meter data with accompanying building characteristics
Schaffer, M. (Creator), Veit, M. (Contributor), Marszal-Pomianowska, A. (Data Manager), Frandsen, M. (Contributor), Pomianowski, M. Z. (Contributor), Dichmann, E. (Contributor), Sørensen, C. G. (Contributor) & Kragh, J. (Contributor), VBN, 27 Nov 2023
DOI: 10.5278/7e93e42e-38fc-4d87-ad68-ff1a2d1091aa, https://www.forefront.aau.dk/
Dataset

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Cite this

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title = "Dataset of smart heat and water meter data with accompanying building characteristics",

abstract = "The data presented were collected from 34884 commercial smart heat meters and 10765 commercial smart water meters with a span of up to 5 years (2018 - 2022), all located in buildings within the Aalborg Municipality. In addition, building characteristics from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data were collected for each building, resulting in up to 86 different characteristics per building. All smart meter data was processed using an established method to obtain equidistant data without erroneous values. The building characteristics derived from the EPCs were filtered based on rule sets to increase the quality of the data. All data can be linked. It is expected that researchers in the built environment, district heating and water sectors will find such a dataset of great value.",

author = "Markus Schaffer and Martin Veit and Anna Marszal-Pomianowska and Martin Frandsen and Pomianowski, {Michal Zbigniew} and Emil Dichmann and S{\o}rensen, {Christian Grau} and Jesper Kragh",

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AU - Veit, Martin

AU - Marszal-Pomianowska, Anna

AU - Frandsen, Martin

AU - Pomianowski, Michal Zbigniew

AU - Dichmann, Emil

AU - Sørensen, Christian Grau

AU - Kragh, Jesper

PY - 2023

Y1 - 2023

N2 - The data presented were collected from 34884 commercial smart heat meters and 10765 commercial smart water meters with a span of up to 5 years (2018 - 2022), all located in buildings within the Aalborg Municipality. In addition, building characteristics from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data were collected for each building, resulting in up to 86 different characteristics per building. All smart meter data was processed using an established method to obtain equidistant data without erroneous values. The building characteristics derived from the EPCs were filtered based on rule sets to increase the quality of the data. All data can be linked. It is expected that researchers in the built environment, district heating and water sectors will find such a dataset of great value.

AB - The data presented were collected from 34884 commercial smart heat meters and 10765 commercial smart water meters with a span of up to 5 years (2018 - 2022), all located in buildings within the Aalborg Municipality. In addition, building characteristics from the Danish Building and Dwelling Register (BBR) and Energy Performance Certificate (EPC) input data were collected for each building, resulting in up to 86 different characteristics per building. All smart meter data was processed using an established method to obtain equidistant data without erroneous values. The building characteristics derived from the EPCs were filtered based on rule sets to increase the quality of the data. All data can be linked. It is expected that researchers in the built environment, district heating and water sectors will find such a dataset of great value.

M3 - Working paper

BT - Dataset of smart heat and water meter data with accompanying building characteristics

ER -

Dataset of smart heat and water meter data with accompanying building characteristics

Abstract

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Projects

FOREFRONT: From conventional towards energy optimized and smart building – framing a new paradigm in utilisation of smart heat data

PRELUDE: Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization

EDYCE: Energy Flexible Dynamic Building Certification

Research output