14:30 - 16:00 LIDARs - the zapping competition
Resource assessment
Room: Hall G2
In this highly interactive quick-fire session, participants will scan through 14 LIDAR-related presentations and vote to select the three contributions they would like to hear in full. Presentations will cover a wide range of possible LIDAR applications, both offshore and onshore, such as power-curve validation, resource assessment in complex terrain, turbulence intensity measurements, and more.
You attended this session?
Learning objectives
Get a wide overview of the latest research and field work involving LIDARs, both onshore and offshore.
This session will be chaired by:
Presenter
Co-authors:
Edward Burin des Roziers (1) F Anais Madaule (1) Jeremy Tahar (1) Stephanie Pham (1) Julien Leon (1)
(1) DEWI, Lyon, France
Presenter's biography
Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here uneditedEdward Burin des Roziers joined DEWI as Wind Measurement Team Leader in 2015. His team’s responsibilities include advising on wind measurement campaign strategy as well as the operational implementation and long-term monitoring of campaigns, including meteorological masts, ground-based remote sensing and nacelle-mounted lidar measurements. Prior to this role, Edward gained 5 years’ experience as Senior Data Analyst in the Research and Development team at ZephIR Lidar, working towards the validation of lidar, and the development of algorithms to maximise the potential of lidar data in the wind industry. He received his Ph.D. in Aerospace Engineering from the University of Colorado and his research has contributed to the field of magnetospheric dynamics and space weather modelling.
Abstract
A case study of performing a wind resource assessment based on LIDAR measurements
Introduction
Uncertainty in resource assessment is usually the key parameter of the financial equation when developing a wind farm. For wind speed measurements, the challenge is to provide a long term reliable data set that accurately represents the wind conditions across the entire projected wind farm area. DEWI has performed an energy yield assessment for the development of a large wind park using a traditional 2-year data set from a meteorological mast located 8 km away and compared with an assessment using a 6-month data set from a lidar.
Approach
In this paper, the uncertainties of two wind measurement campaign designs are compared : extrapolation of a 2-year data set from a single meteorological mast located 8 km away or using MCP to extend a 6-month campaign from a lidar located at the target site. The financial impact on the uncertainty reduction is assessed to evaluate the benefits of adding a Lidar.
Main body of abstract
A WINDCUBE v2 Lidar was deployed at the target site with the aim of decreasing the uncertainty of measurement instead of extrapolating measurements from a meteorological mast located 8 km away. Prior to the measurement campaign, the lidar was installed at the base of this same mast for a verification. Guidelines are outlined here for consideration when performing verifications of WINDCUBE v2 lidars.
After this verification, the Lidar was moved 8 km away for a 6-month campaign. The measurements were extended to two years by using MCP techniques based on measurements from the mast. Availability of measurement at different height is presented to assess the ability of Lidar measurement to measure continuously at different heights. The uncertainty associated with this method is calculated following international norms and an estimate of the financial impact is discussed.
Conclusion
The results from this case study will give guidelines to consider when performing a verification with a WINDCUBE v2 lidar and when using lidar data in an energy yield assessment. Uncertainties in energy yield assessment resulting from two different methods will be compared. The financial impact is discussed and will permit a better understanding of the impacts of Lidar measurements on the cost of an energy yield assessment.
Learning objectives
1. Guideline for the verification of a WINDCUBE v2 and the use of lidar data within an energy yield assessment.
2. Comparison of the uncertainties linked to Lidar measurement extrapolated in time and mast measurements extrapolated in space.
3. Effect of uncertainty reduction on financing of a wind farm.
Follow EWEA on: