A Collection of 85 Datasets of Buildings and Building Clusters Performing Demand Response – Common Exercise IEA EBC Annex 82
Authors/Creators
-
Johra, Hicham
(Data curator)1
-
Le Dréau, Jérôme
(Producer)2
-
Kummert, Michaël
(Producer)3
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Arteconi, Alessia
(Producer)
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HENZE, GREGOR
(Producer)4, 5, 6
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MUGNINI, ALICE
(Producer)7
-
Busho, Megi
(Producer)8, 3
-
Saberi Derakhtenjani, Ali
(Producer)9
-
Heidari, Rahmat
(Producer)10
- Kırant-Mitic, Tuğçin (Producer)
-
Petrucci, Andrea
(Producer)11
- Jiang, Zixin (Producer)
- Dong, Bing (Producer)
-
Kubenthiran, Jeeventh
(Producer)
-
Zavřel, Vojtěch
(Producer)
-
El Kontar, Rawad
(Producer)
-
Polly, Ben
(Producer)5
- Diller, Tim (Producer)
- Corbin, Charles (Producer)
-
1.
SINTEF Community
-
2.
La Rochelle Université
-
3.
Polytechnique Montréal
-
4.
University of Colorado Boulder
-
5.
National Renewable Energy Laboratory
- 6. Renewable and Sustainable Energy Institute
-
7.
Marche Polytechnic University
- 8. CanmetENERGY Varennes, Natural Resources Canada
- 9. Dubai Electricity and Water Authority PJSC
-
10.
Commonwealth Scientific and Industrial Research Organisation
-
11.
Concordia University
Description
This open-access dataset contains 85 simulation datasets of buildings and clusters of buildings performing demand response. These datasets have been generated within the framework of a common exercise of the IEA EBC Annex 82 project: Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems (https://annex82.iea-ebc.org/).
Each dataset is placed inside a dedicated folder with a corresponding case ID. Each dataset contains a metadata file and one or several nomenclature files providing information about the content of the dataset and the characteristics of the case building cluster, and how this data has been generated.
The datasets contain time series of building- and energy-related monitoring variables (e.g., total power demand, grid incentive signal, outdoor temperature, etc.) for reference (ref) scenarios (no demand response activations) and flexible (flex) scenarios (demand response activations).
These datasets are analyzed in a dedicated scientific publication.
More information can be found in the “Dataset_description” file.
The Python file "dataset_treatment_and_analysis.py" is a script that runs a validity verification of the entire collection of datasets and, if all datasets are valid, generates a series of plots with the data from the different datasets. This Python script can be used as a basis to develop further data treatment and analysis processes.
For questions and comments, please contact Hicham Johra: hicham.johra@sintef.no
Files
Collection_of_datasets.zip
Files
(26.4 MB)
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