Abstract
Retrofitting of operating wind turbines has been spreading in the recent years in the wind energy industry, at the aim of optimizing the efficiency of wind kinetic energy conversion. This kind of interventions has material and labor costs and it is therefore fundamental to estimate realistically the production improvement. Further, the retrofitting of wind turbines sited in harsh environments, as for example complex terrain, might exacerbate the stressing conditions and therefore affect the residue lifetime. This work deals with a case of retrofitting: the testing ground is a multi-megawatt wind turbine from a wind farm sited in a very complex terrain. The blades have been optimized by installing vortex generators and passive flow control devices. A general method is proposed for estimating production upgrades from wind turbine retrofitting, basing on multivariate linear modeling of the power output of the upgraded wind turbine. Applying the model to the test case of interest, it arises that the upgrade increases the annual energy production of the wind turbine of an amount of the order of the 2%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Astolfi D, Castellani F, Terzi L (2018) A SCADA data mining method for precision assessment of performance enhancement from aerodynamic optimization of wind turbine blades. J Phys Conf Ser 1037:032001
Astolfi D, Castellani F, Terzi L (2018) A study of wind turbine wakes in complex terrain through RANS simulation and SCADA data. J Sol Energy Eng 140(3):031,001
Astolfi D, Castellani F, Terzi L (2018) Wind turbine power curve upgrades. Energies 11(5):1300
Bossanyi E, King J (2012) Improving wind farm output predictability by means of a soft cut-out strategy. In: European Wind Energy Conference and Exhibition EWEA, vol 2012
Castellani F, Astolfi D, Burlando M, Terzi L (2015) Numerical modelling for wind farm operational assessment in complex terrain. J Wind Eng Ind Aerodyn 147:320–329
Castellani F, Astolfi D, Mana M, Piccioni E, Becchetti M, Terzi L (2017) Investigation of terrain and wake effects on the performance of wind farms in complex terrain using numerical and experimental data. Wind Energy 20(7):1277–1289
Hwangbo H, Ding Y, Eisele O, Weinzierl G, Lang U, Pechlivanoglou G (2017) Quantifying the effect of vortex generator installation on wind power production: an academia-industry case study. Renewable Energy 113:1589–1597
Lee G, Ding Y, Xie L, Genton MG (2015) A kernel plus method for quantifying wind turbine performance upgrades. Wind Energy 18(7):1207–1219
Lydia M, Kumar SS, Selvakumar AI, Kumar GEP (2014) A comprehensive review on wind turbine power curve modeling techniques. Renew Sustain Energy Rev 30:452–460
Ouyang T, Kusiak A, He Y (2017) Modeling wind-turbine power curve: a data partitioning and mining approach. Renewable Energy 102:1–8
Øye S (1995) The effect of vortex generators on the performance of the ELKRAFT 1000 kw turbine. In: 9th IEA symposium on aerodynamics of wind turbines. Stockholm. ISSN 0590–8809
Petrović V, Bottasso CL (2014) Wind turbine optimal control during storms. J Phys Conf Ser 524:012052
Refaeilzadeh P, Tang L, Liu H (2009) Cross-validation. In: Encyclopedia of database systems. Springer, pp 532–538
Shokrzadeh S, Jozani MJ, Bibeau E (2014) Wind turbine power curve modeling using advanced parametric and nonparametric methods. IEEE Trans Sustain Energy 5(4):1262–1269
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Astolfi, D., Castellani, F., Fravolini, M.L., Cascianelli, S., Terzi, L. (2019). A SCADA-Based Method for Estimating the Energy Improvement from Wind Turbine Retrofitting. In: Ricciardelli, F., Avossa, A. (eds) Proceedings of the XV Conference of the Italian Association for Wind Engineering. IN VENTO 2018. Lecture Notes in Civil Engineering, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-12815-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-12815-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12814-2
Online ISBN: 978-3-030-12815-9
eBook Packages: EngineeringEngineering (R0)