Dataset on SCADA Data of an Urban Small Wind Turbine Operation in São Paulo, Brazil

Author:

Bassi Welson12ORCID,Rodrigues Alcantaro Lemes12ORCID,Sauer Ildo Luis12ORCID

Affiliation:

1. Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil

2. Center for Analysis, Planning and Energy Resources Development (CPLEN), São Paulo 05508-010, Brazil

Abstract

Small wind turbines (SWTs) represent an opportunity to promote energy generation technologies from low-carbon renewable sources in cities. Tall buildings are inherently suitable for placing SWTs in urban environments. Thus, the Institute of Energy and Environment of the University of São Paulo (IEE-USP) has installed an SWT in an existing high-height High Voltage Laboratory building on its campus in São Paulo, Brazil. The dataset file contains data regarding the actual electrical and mechanical operational quantities and control parameters obtained and recorded by the internal inverter of a Skystream 3.7 SWT, with 1.8 kW rated power, from 2017 to 2022. The main electrical parameters are the generated energy, voltages, currents, and power frequency in the connection grid point. Rotation, referential wind speed, and temperatures measured in some points at the inverter and in the nacelle are also recorded. Several other parameters concerning the SWT inverter operation, including alarms and status codes, are also presented. This dataset can be helpful for reanalysis, to access information, such as capacity factor, and can also be used as overall input data of actual SWT operation quantities.

Funder

Institute of Energy and Environment of University of São Paulo

Enel Distribuição São Paulo in partnership with the Brazilian Electricity Regulatory Agency

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Reference9 articles.

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3. Eichhorn, M., Scheftelowitz, M., Reichmuth, M., Lorenz, C., Louca, K., Schiffler, A., Keuneke, R., Bauschmann, M., Ponitka, J., and Manske, D. (2019). Spatial Distribution of Wind Turbines, Photovoltaic Field Systems, Bioenergy, and River Hydro Power Plants in Germany. Data, 4.

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