Digitalisation: creating value in O&M

Digitalisation

When: Thursday, 4 April 2019, 13:00 - 14:15
Where: Auditorium 1

Session description

Digitalisation is not an end in itself, but an enabler of our industry’s objectives. One such application of digital technology is smarter operations and OPEX reduction. In this session, we will look at specific new examples of how digitalisation, including advanced analytics, is being used in operations and maintenance. A range of methods and techniques will be looked at, with a focus on how artificial intelligence and machine learning adds value.

Learning objectives

• Understand the use of artificial intelligence to optimize asset maintenance;
• Learn how to increasing wind turbine failure detectability using Machine Learning;
• Learn how to combine SCADA data analysis, machine learning and physical model to determine loads and fatigue;
• Understand how statistics and neural networks can be used to predict remaining useful lifetimes.

Session chair

Nasly Vanesa Penilla-Puerta

Program Manager for Digitalization in PLM Services, Siemens Gamesa Renewable Energy

Introduction

Alfonso Faubel

President - Europe, Sentient Science

Presentations

From SCADA to lifetime assessment and performance optimization: models and machine learning to extract useful insights from limited data

Nikolay Dimitrov

Senior Scientist, DTU Wind Energy

Romeo, a project that will contribute to offshore O&M cost reduction

César Yanes

Head of Innovation, Iberdrola Renovables

Increasing wind turbine failure detectability with Machine Learning strategies. Case study from a customer point of view.

Idoia Iceta

Energy CEO, NEM Solutions