Have a personal or library account? Click to login
The Comparison of the Efficiency of Small Wind Turbine Generators with Horizontal and Vertical Axis Under Low Wind Conditions Cover

The Comparison of the Efficiency of Small Wind Turbine Generators with Horizontal and Vertical Axis Under Low Wind Conditions

Open Access
|Oct 2020

References

  1. 1. Bezrukovs, D., & Sauhats, A. (2017). Economic and Operational Risks in Wind Energy Projects in Latvia. Renewable Energy and Power Quality Journal, 15, 1–6. ISSN 2172-038X.: DOI:10.24084/repqj15.326.10.24084/repqj15.326
  2. 2. Sauhats, A., Zemīte, L., Petričenko, Ļ., Moškins, I., & Jasevičs, A. (2018). Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices. Energies, 11 (11), 1–19. DOI: 10.3390/en11113222.10.3390/en11113222
  3. 3. Petrichenko, L., Broka, Z., Sauhats, A., & Bezrukovs, D. (2018). Cost-benefit analysis of Li-Ion batteries in a distribution network. In Proceedings of the 2018 15th International Conference on the European Energy Market (EEM), 27–29 June 2018 (pp. 1–5). Łódź, Poland.10.1109/EEM.2018.8469782
  4. 4. Zemite, L., Petrichenko, L., Sauhats, A., Linkevics, O., & Bockarjova, G. (2018). A Comparative Assessment of the Small-Scale Distributed Generation Policies in the EU and Latvia. In Solar & Wind Integration Workshop: E-Mobility Integration Symposium, 1/2018, (pp. 1–6).
  5. 5. Shipkovs, P., Kashkarova, G., Lebedeva, K., & Migla, L. (2012). Use of renewable energy resources for reduction of environmental pollutions. The Fourth IASTED African Conference on Power and Energy Systems (AfricaPES 2012), (79–85), 3–5 September 2012, Gaborone, Botswana. CD Proceedings, ISBN: 978-0-88986-929-5.
  6. 6. Bobinaite, V., & Priedite, I. (2015). RES-E Support Policies in the Baltic States: Electricity Price Aspect (Part II). Latvian Journal of Physics and Technical Sciences, 2, 13 – 25.10.1515/lpts-2015-0008
  7. 7. Ostapenko, J., & Gamalejevs, A. (2004). Latvian wind energy guide. Riga, 96 p. Available at http://www.windenergy.lv/startpage/lv/
  8. 8. Bezrukovs, V., Zacepins, A., Bezrukovs, V., & Komashilovs, V. (2016). Investigations of Wind Shear Distribution on the Baltic Shore of Latvia. Latvian Journal of Physics and Technical Sciences, 53 (3), 3–10.10.1515/lpts-2016-0016
  9. 9. Aniskevich, S., Bezrukovs, V., Zandovskis, U., & Bezrukovs, D. (2017). Modelling the spatial distribution of wind energy resources in Latvia. Latvian Journal of Physics and Technical Sciences, 54 (6), 10–20. DOI: 10.1515/lpts-2017-0037.10.1515/lpts-2017-0037
  10. 10. Bezrukovs, V., Bezrukovs, Vl., & Zacepins, A. (2014). Comparative Efficiency of Wind Turbines with Different Heights of Rotor Hubs: Performance Evaluation for Latvia. J. Phys.: Conf. Ser. 524 012113. DOI:10.1088/1742-6596/524/1/012113.10.1088/1742-6596/524/1/012113
  11. 11. Godoy Simões, M., & Farret, F.A. (2014). Modelling and analysis with induction generators (3rd ed.). CRC Press.
  12. 12. Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2009). Wind energy explained: Theory, design and application. USA: John Wiley & Sons Ltd.10.1002/9781119994367
  13. 13. Catalogue of European Urban Wind Turbine Manufacturers. (2017). Available at http://www.urbanwind.net/pdf/CATALOGUE_V2.pdf
  14. 14. Bezrukovs, V., Zacepins, A., Bezrukovs, Vl., & Komashilovs, V. (2016). Comparison of Methods for Evaluation of Wind Turbine Power Production by the Results of Wind Shear Measurements on the Baltic Shore of Latvia. Renewable Energy, 96, Part A, 765–774.10.1016/j.renene.2016.05.007
  15. 15. Storch, H. von, & Zwiers, F.W. (2003). Statistical analysis in climate research. Cambridge: Cambridge University Press.
  16. 16. Ripley, B., Venables, B., Bates, D.M., Hornik, K., Gebhardt, A., Firth, D. (2017). Support Functions and Datasets for Venables and Ripley’s MASS. Available at https://cran.r-project.org/web/packages/MASS/
  17. 17. Kharin, V.V., & Zwiers, F.W. (2000). Changes in the Extremes in an Ensemble of Transient Climate Simulations with a Coupled Atmosphere–Ocean GCM. Journal of Climate, 13, 3760–3788.10.1175/1520-0442(2000)013<3760:CITEIA>2.0.CO;2
DOI: https://doi.org/10.2478/lpts-2020-0028 | Journal eISSN: 2255-8896 | Journal ISSN: 0868-8257
Language: English
Page range: 61 - 72
Published on: Oct 8, 2020
Published by: Institute of Physical Energetics
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2020 D. Bezrukovs, V. Bezrukovs, Vl. Bezrukovs, M. Konuhova, S. Aniskevich, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.