Sessions

Resource assessment - part 3

Resource assessment

When: Wednesday, 3 April 2019, 16:15 - 17:45
Where: Luxua 2

Session description

The Resource Assessment programme will span across 3 sessions. Each will take the audience through a range of topics. These will include: ice losses, turbulence intensity measurements, wake modelling improvements, seasonal forecasting, machine learning applications, and the impact of real world conditions on turbine performance. Each of these topics has the potential to have a profound impact upon the energy yield and therefore it is vital they are thoroughly understood.

Invited speakers from outside the Resource Assessment community will present: the potential impacts of climate change on the wind resource; insights on measurements from the data user perspective; and how to improve annual energy production using operational data.

Part 3 will take the audience through a range of topics ranging from wake modelling improvements, multiscale modelling, machine learning applications through to innovative uses of drones. The invited presentation will bring an OEM prespective on optimizing Annual Energy Production.

View the rest of the programme: Part 1 - Part 2

Learning objectives

Session chair

PS Reilly

President & CEO, Axys Technologies

Pep Moreno

CEO, Vortex

Introduction

Mark Zagar

Senior Specialist - Energy Meteorology, Vestas Wind Systems A/S

Presentations

How drones can improve topography inspections, terrain modelling and energy yield assessment

Niels Peyre

Senior Renewable Energy Consultant, Wood

On the meso-to-microscale modeling of the atmospheric boundary layer in a complex terrain site: an open-science framework.

Roberto Aurelio Chavez-Arroyo

Researcher, CENER

Novel machine learning methods to reduce uncertainty in energy yield assessment

Trenton Bush

Analyst, K2 Management

Engineering models for turbine wake velocity deficit and wake deflection. A new proposed approach for onshore and offshore applications.

Renzo Ruisi

Researcher, DNV GL

Event Ambassadors