- Category: Articles
A Grease with Low Base Oil Viscosity Improves Main Bearing Lubrication
The lubrication of main bearings in wind turbines is a difficult business. The lubricant has to cope with false brinelling, with challenging operating aspects such as high loads and varying temperatures, and with the need to protect components against wear. Last, but not least, lubricants have to be useable in centralised lubricating systems. The classical approach in wind turbine main bearing lubrication has been to use greases with a high base oil viscosity, which were regarded as the optimum. Meanwhile, bench tests and field experience have shown that greases with a low base oil viscosity (i.e. in the range of 130–150mm/s2) can protect the bearing better than other lubricants. The key to success is the combination of the low-viscosity base oil with suitable extreme pressure and antiwear additives.
By Thomas Jørgensen, Klüber Lubrication, Germany
- Category: Articles
Market Demand Drives Development of New Solutions
With the growth of the wind industry and introduction of turbines of more than 1MW, greater loads and increased stresses are affecting mainshaft and gearbox bearing life. Damage and failure modes are occurring sooner than expected, and for many wind farm operators the cost of unexpected down-tower repairs is adding up. As a result, the industry is asking for longer life from mainshaft and gearbox bearings.
By Guillaume Badard, The Timken Company, France
- Category: Articles
How to Use the Whole Potential of Wind Farm Data
Wind farm SCADA data holds an enormous potential for plant performance improvement and should be an essential tool for operation and maintenance (O&M). The proper analysis of key variables can lead to important benefits through the improvement of turbine performance, as well as cost reductions through optimisation of the O&M strategy and extension of the lifetime of components. Because of the huge amount of information contained in SCADA, specific analysis techniques need to be designed and applied to get the most from the data. In the following article, the authors explain some of the best available methods for SCADA data analysis, the most common issues identified in operational wind farms and the benefits obtained through this kind of analysis.
By Claudia Puyals, Plant Performance Analyst, AWS Truepower, Spain
- Category: Articles
A Forestry Focus
As existing wind farms are maturing, owners and operators are beginning to scrutinise operational performance, placing additional focus on performance enhancement. Considerable attention has been paid, in recent years, to reliability and maintenance optimisation, but the focus is now intensifying on making the most of existing assets and, importantly, their return on investment.
By Alan Mortimer, Director of Innovation, SgurrEnergy, UK
- Category: Articles
Lessons Learnt and Future Opportunities
In August 2012 SOWITEC won the tender for Vientos de Pastorale (Pastorale), a Uruguayan wind farm in the southwest of the country (Figure 1) and was granted a 20-year power purchase agreement (PPA) at a price of US$ 63.5/MWh. On 23 February 2016 financial close was successfully reached on the debt and equity components for Pastorale. The close is the first in the country to be carried out with commercial lenders and on a non-recourse basis. It allows start of construction on time and commissioning before mid-2017. Lessons learnt in the areas of technology, standardisation of tender documentation and lending are presented below. Opportunities for the country’s wind power system are also addressed.
By Rosa Tarragó, Head of Structured Finance, SOWITEC, Germany
- Category: Articles
Detecting Faults Long Before the Damage
A key term of Industry 4.0 is ‘predictive maintenance’ – the forecast of damaging events long before they occur. The software company Indalyz Monitoring & Prognostics (IM&P) GmbH, which is based in the city of Halle (Saale) in the German Federal State of Saxony-Anhalt, has developed an innovative predictive maintenance software solution. This software is based on artificially intelligent algorithms that forecast when an individual component of a machine, complex plant or a machine cluster will reach its critical level or even break down. Future malfunctions are predicted long before the damage event occurs. The operator of a facility such as a wind park can thus organise service, material and personnel efficiently, which in turn reduces the operating costs and downtimes.
By Prof. Dr. Michael Schulz (IM&P) and Tanja Ruedinger (Investment and Marketing Corporation Saxony-Anhalt), Germany
- Category: Articles
An Early Stage Innovation for Floating Offshore Wind Applications
Offshore wind turbines are immense and mechanically complex. Their energy is also relatively expensive. Electrohydrodynamic (EHD) wind energy is a new way to produce power by converting the kinetic energy of offshore winds into electricity with mechanical simplicity. It could dramatically reduce the cost of offshore wind energy generation and increase capacity factors to well over 50%, enabling faster growth of this renewable power capacity worldwide. A recent US$ 4.9 million award from ARPA-E is funding a collaboration between small company innovator Accio Energy Inc. and the University of Maine’s Advanced Structures and Composites Center to design, build and test the first sub-scale prototype off the coast of Maine, as well as to validate a transformative LCOE model of a full-scale design.
By Jennifer Baird, CEO, and Dawn White, President and CTO, Accio Energy, USA