Dataset on SCADA Data of an Urban Small Wind Turbine Operation in São Paulo, Brazil
Welson Bassi (),
Alcantaro Lemes Rodrigues and
Ildo Luis Sauer
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Welson Bassi: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil
Alcantaro Lemes Rodrigues: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil
Ildo Luis Sauer: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil
Data, 2023, vol. 8, issue 3, 1-9
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.
Keywords: dataset; SCADA; operation; data; small wind turbine; urban wind energy; distributed generation; capacity factor; building adapted wind turbine; horizontal axis wind turbine (HAWT) (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:8:y:2023:i:3:p:52-:d:1083989
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