Abstract
The paper presents the assessment of power production efficiency of five wind turbine generator types in low-wind conditions typical for Latvia. The analysis considers wind turbines manufactured by the leading European producers - Nordex, Vestas, Enercon and Siemens. The study is based on 10-min measurements of wind speed from two on-shore sites in the north and north-west of Latvia using LOGGER 9200 Symphonie measurement systems mounted on met-masts. Based on the measurement analysis results, wind speed distribution curves are modelled for the heights of up to 150 m using power law approximation methods. The forecast of Annual Energy Production (AEP) is performed using the Weibull frequency distribution of wind speed for two heights for each corresponding wind turbine type. The results of the analysis show that the highest output efficiency can be achieved by Vestas and Nordex wind turbines, which power curves correspond to wind class III. Vestas V136-3.45 with hub height 132 m achieves maximum efficiency equal to 54.5% in Irbene site. For Enercon E101 and Siemens SWT-3.2-113, SWT-2.3-108 WTs, which are designed for wind class II, the values of the efficiency coefficient do not exceed 47.3% for hub height 142 m.
| Original language | English |
|---|---|
| Title of host publication | 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509037315 |
| DOIs | |
| Publication status | Published - 30 Nov 2016 |
| Externally published | Yes |
| Event | 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2016 - Riga, Latvia Duration: 13 Oct 2016 → 14 Oct 2016 |
Publication series
| Name | 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2016 |
|---|
Conference
| Conference | 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2016 |
|---|---|
| Country/Territory | Latvia |
| City | Riga |
| Period | 13/10/16 → 14/10/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- long-term wind measurements
- operational efficiency low-wind
- wind class
- wind shear analysis
- wind turbine
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