Lead Session Chair:
Stephan Barth, Managing Director, ForWind - Center for Wind Energy Research, Germany
Chris McConville (1) F P Andy Paterson (1)
(1) Babcock International Group, Rosyth, United Kingdom
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Presenter's biographyBiographies are supplied directly by presenters at OFFSHORE 2015 and are published here unedited
Chris is an electrical and mechanical engineer who has worked in building services and the marine industry before moving into offshore renewables. He has worked with Babcock since 2009 and over the last 3 years he has been responsible for the development of the company's floating LiDAR system, FORECAST.
The commercialisation of floating lidar from an oem perspective
This presentation aims to provide a pragmatic approach to achieving Stage 3 of the Carbon Trust Roadmap to the commercialisation of floating LiDAR. It will also aim to quantify the benefits of using floating LiDAR beyond the capital cost usually considered to account for improved data sets and the resulting impact on probability ratios and financial models.
Pragmatic methods of proving a floating LiDAR system's accuracy will be explored By utilising the experience gained from a range of tests performed during the development of a floating LiDAR system including CFD, tank testing and full scale testing.
The presentation will then explore the technology's ability to improve wind data set quality and provide a cost benefit analysis of this.
Main body of abstract
The widely accepted roadmap to commercialisation of floating LIDAR requires a system to undergo a number of deployments and validation campaigns in a variety of sea conditions to achieve Stage 3 - Commercial status. Although this may be required to achieve widespread acceptance, it is also possible for certain technology to prove it's ability to operate accurately in a specific site through combinations of computer modelling and scale model testing. This will provide a more cost and time effective approach to the validation of floating LiDAR for a clients specific site while reducing the cost to both the developer and OEM without compromising on the validity of the collected data.
The benefits of floating LiDAR are often limited to the reduced capital cost of an equivalent fixed met mast however the true impact may be far more significant to the overall LCOE. The technology has already proven its ability to be as accurate as traditional cup anemometers and wind vanes which when combined with its ability to reduce extrapolation uncertainties will allow significantly improved probability ratios. This then leads to reduced energy yield analysis risks and improved finance packages resulting in a far more significant impact on the overall project returns than first observed through capital cost alone.
Floating LiDAR is fast approaching commercial status and must continue to do so in order to support the development of wind farms further from shore and in deeper waters. The benefits of the technology far exceed the currently considered capital savings and can provide a significant advantage to wind farm developers.
Learning objectives include:
- the current method of validating floating LiDAR
- cost effective alternatives to validate the technology in specific sites
- the potential effect on data accuracy and how to achieve this
- the resulting financial impact on a development