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International audience; The International Energy Agency (IEA) Wind Task 36 on Wind Power Forecasting organises international collaboration, among national weather centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, ...), forecast vendors and forecast users to facilitate scientific exchange to be prepared for future challenges.The talk discusses the general setup of the Task, and the latest developments. Among those are decision making under uncertainty. To this aim, a series of forecasting experiments are being developed and one initial experiment was tested by a wide audience. The forecasting experiments took the form of a game, during which the participants could experience the benefit of probabilistic information on their decisions to trade.Other results include an information portal for meteorological data, and the IEA Recommended Practice for Forecast Solution Selection which is divided into 3 parts: (1) "Forecast Solution Selection Process", (2) "Designing and Executing Forecasting Benchmarks and Trials", and (3) "Evaluation of Forecasts and Forecast Solutions". The Recommended Practice guideline encourages forecast users to establish a framework of metrics that help identify, whether the user's forecast performance criteria effectively incentivize the forecast provider to optimize towards the forecast target variable that has the most value for the user's application(s). For this year, we intend to update the guideline in the light of the experiences throughout the industry in its initial application, and after collecting this experience at 3 Open Space workshops.Collaboration is open to IEA Wind member states; 12 countries are already actively collaborating.The Task is divided in three work packages: Work Package (WP) 1 is a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction (NWP) model physics, but also widely distributed information on accessible datasets. This WP also currently organises a benchmark for NWP models, based on the Wind Forecast Improvement Project 2 (WFIP2) datasets. WP2 deals with the power conversion from the wind speed forecasts and the associated vendor issues. Amongst other things, WP2 published the IEA Recommended Practice on how to select an optimal wind power forecast solution for a specific application. The focus of WP3 is on the engagement of end users to disseminate the best practice in the use of wind power predictions, especially probabilistic forecasts and also what kind of measurements are required in real-time environmentsA major activity of the Task is the organisation of workshops and special sessions at conferences, like this one. Previous workshops on e.g. forecasting on the minute scale including lidars, a workshop on the value of forecasts, or special sessions on the Wind Energy Science Conference, the Wind Integration Workshop, the ESIG Meteorology and Market Design for Grid Services workshops are still visible online from the IEAWindForecasting YouTube channel.

International audience; Wind power forecasts have been used operatively for over 20 years. Despite this fact, there are still several possibilities to improve the forecasts, both from the weather prediction side and from the usage of the forecasts. The International Energy Agency (IEA) Task on Wind Power Forecasting organises international collaboration, among national weather centres, forecast vendors and forecast users. The Task looks back on the first 3 years, and just started the second three-year period. Collaboration is open to IEA Wind member states, 13 countries are already therein.The Task is divided in three work packages: Firstly, a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction model physics, but also widely distributed information on accessible datasets and a benchmark. Secondly, we try to improve the derived power forecasts and deal with forecast vendor related matters to bring the entire industry forward. Thirdly, we will be engaging end users aiming at dissemination of the best practice in the usage of wind power predictions.The main result of the first phase is the IEA Recommended Practice for Selecting Renewable Power Forecasting Solutions. This document in three parts (Forecast solution selection process, Designing and executing forecasting benchmarks and trials and Benchmark metrics) takes its outset from the recurrent problem at forecast user companies of how to choose a forecast vendor. The first report describes how to tackle the general situation, while the second report specifically describes how to set up a forecasting trial so that the result is what the client intended. Many of the pitfalls we have seen over the years, are avoided. Other results include a comprehensive review paper on the use of uncertainty forecasts in the power industry and an information portal related to forecasting.In short, the poster presents the IEA Task 36 on Wind Power Forecasting, opening a forum for international collaboration in this important field for meteorologists, wind power forecasters and end users. For collaboration, please contact the author (grgi@dtu.dk) and see the website at www.ieawindforecasting.dk.

It is common practice to evaluate mesoscale meteorological models against in-situ mast measurements of one or several met masts. With the NEWA Ferry Lidar Experiment and Benchmark conducted as part of the New European Wind Atlas (NEWA) project we further develop the concept of spatially distributed wind profile measurements. A vertically scanning Doppler lidar was placed on a ferryboat travelling on a regular route through the Southern Baltic Sea between Kiel (Germany) and Klaipeda (Lithuania). During four months between February and June 2017, the lidar continuously measured wind profiles between 65 m and 275 m above sea level along the ship track. The obtained wind profile data were corrected for ship motions (i.e. ship velocity and heading). To our knowledge this is the first dataset of wind profile measurements with lidar along such a long track. As the lidar moves with the ship and covers a distance that is comparable to a typical mesoscale model domain, this dataset is very suitable to be compared against meteorological mesoscale model data. In the associated modelling benchmark, participants from the international mesoscale modelling community were invited to simulate the period of the experiment with different mesoscale models and model setups. The participants were encouraged to either use their best practice setup or to test several setups. The objectives of the benchmark are: To assess how well today’s mesoscale models can reproduce the wind conditions offshore and, in particular, in the Southern Baltic Sea where quite often coastal effects are present. To compare different models as well as different model setups of the same model against the measurements. To gain experience with this unique kind of data (moving wind profiles) and explore its strengths and weaknesses. Several participants used the WRF model with different setups and forcing data but also ICON-EU operational forecasts and MM5 are participating in the benchmark. The simulated time series are compared with the measured time series in different heights, and vertical profiles are evaluated at specific locations. Furthermore, error statistics are presented.

International audience; Wind power forecasts have been used operatively for over 20 years. Despite this fact, there are still several possibilities to improve the forecasts, both from the weather prediction side and from the usage of the forecasts. The International Energy Agency (IEA) Task on Wind Power Forecasting organises international collaboration, among national weather centres, forecast vendors and forecast users. The Task looks back on the first 3 years, and just started the second three-year period. Collaboration is open to IEA Wind member states, 13 countries are already therein. The Task is divided in three work packages: Firstly, a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction model physics, but also widely distributed information on accessible datasets and a benchmark. Secondly, we try to improve the derived power forecasts and deal with forecast vendor related matters to bring the entire industry forward. Thirdly, we will be engaging end users aiming at dissemination of the best practice in the usage of wind power predictions. The main result of the first phase is the IEA Recommended Practice for Selecting Renewable Power Forecasting Solutions. This document in three parts (Forecast solution selection process, Designing and executing forecasting benchmarks and trials and Benchmark metrics) takes its outset from the recurrent problem at forecast user companies of how to choose a forecast vendor. The first report describes how to tackle the general situation, while the second report specifically describes how to set up a forecasting trial so that the result is what the client intended. Many of the pitfalls we have seen over the years, are avoided. Other results include a comprehensive review paper on the use of uncertainty forecasts in the power industry and an information portal related to forecasting. In short, the poster presents the IEA Task 36 on Wind Power Forecasting, opening a forum for international collaboration in this important field for meteorologists, wind power forecasters and end users. For collaboration, please contact the author (grgi@dtu.dk) and see the website at www.ieawindforecasting.dk.

International audience; This poster gives anoverview of the IEA Wind Task for Wind Power Forecasting.The Operating Agent is Gregor Giebel of DTU, Co-Operating Agent is Will Shaw of PNNL. Collaboration in the task is solicited from everyone interested in the forecasting business. The task runs for three years, 2016-2018, but will see a second phase for 2019-2021. The main deliverables are an up-to-date list of current projects and main project results,including data sets which can be used by researchers around the world to improve their own models, and an IEA Recommended Practice on the forecast solution selection process, a position paper regarding the use of probabilistic forecasts. Additionally, spreading of relevant information in both the forecasters and the users community is paramount, e.g. through common workshops or webinars. Participation is open for all institutions in member states of the IEA Annex on WindPower, see ieawind.org for the up-to-date list.

This paper examines wide V-belt operational behaviour operated continuously variable transmission (CVT). Important for the prediction of an optimum driving performance it is necessary to understand the motion principle of the belt in the pulley during operation. First, the design of a test rig is described, where both the driving and driven pulleys are programmable controlled, giving details of the capabilities. Second, to describe the efficiency of the drive, losses due to slip and the mechanical properties of belt material are determined. To conduct the mechanical properties of the steel-reinforced belt an experimental method is introduced. Finally, emphasis is placed on determination of circumferential motion of the belt due to various drive operating parameters. Through the study, it is found that mechanical wear at both sides of the V-belt caused by the belt’s motion is the most serious problem that affects the CVT performance.