Abstract
In this study, we introduce an open-source dataset holding power measurements of 175 residential photovoltaic (PV) systems that are distributed throughout the province of Utrecht, the Netherlands. The dataset features power measurements with a high temporal resolution, i.e., 1 min, for the period January 2014 until December 2017 (over 260 × 106 data points). Spatial information of the PV systems is mapped through latitude and longitude grids, with a resolution up to 150 × 150 m. In addition, we develop and publish a quality control routine that can be applied to validate and filter PV power measurements. Finally, we propose a method to estimate the rated DC capacity of a PV system based on the power measurements. We have deposited five files into the Zenodo repository [Visser et al. (2022). Zenodo, V. 0.0.1, Dataset https://doi.org/10.5281/zenodo.6906504], which are publicly available. Four numerical datasets are enclosed, holding unfiltered power measurements, filtered power measurements at two different stages and metadata. The latter includes information on the tilt angle, azimuth angle, the estimated DC and AC capacity, and location. Finally, a Python package featuring the quality control routine developed to validate and filter PV power measurements is published.
Original language | English |
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Article number | 043501 |
Pages (from-to) | 1-13 |
Journal | Journal of Renewable and Sustainable Energy |
Volume | 14 |
Issue number | 4 |
Early online date | Jul 2022 |
DOIs | |
Publication status | Published - 1 Jul 2022 |
Bibliographical note
Funding Information:This work is part of the Energy Intranets (NEAT: ESI-BiDa 647.003.002) project, which is funded by the Dutch Research Council NWO in the framework of the Energy Systems Integration & Big Data programme. The authors would especially like to thank the PV owners who volunteered to take part in the measurement campaign.
Publisher Copyright:
© 2022 Author(s).