Share this page on:

Programme

Back to the programme printer.gif Print

Thursday, 29 September 2016
09:00 - 10:30 Making electricity markets fit for wind
Integrating wind power into the electricity market  
Onshore      Offshore    

Room: Hall D

Wind power is variable and dependent on the weather, so fundamentally different from classic fuel-based power. Electricity markets wereoriginally designed with conventional central power stations in mind, but the developments in the last two decades have introduced ever larger amounts of renewable energy.

The session provides an overview of the different markets for wind power, and on the role wind power can play in those. The main angle of the session is money, but the underlying need to balance the grid at all times can be monetized in different ways. The session also shows how wind power can be a good grid citizen, and get access to different income than just to sell the power.

You attended this session?

Please give us feedback

 

Learning objectives

  • Wind power in the different markets;
  • Different markets for wind power;
  • Cost, value and income opportunities of wind power.
Co-chair(s):
Gregor Giebel, Senior Scientist, DTU Wind Energy, Denmark
Hannele Holttinen, Principal Research Scientist, VTT, Finland

Presenter

Tiago Soares DTU, Denmark
Co-authors:
Tiago Soares (1) F Pierre Pinson (1) Hugo Morais (2)
(1) Technical University of Denmark, Lyngby, Denmark (2) EDF Lab Clamart, Clamart, France

Presenter's biography

Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here unedited

Tiago Soares received the B.Sc, and M.Sc. degrees in electrical engineering from the School of Engineering of Polytechnic Institute of Porto, Porto, Portugal in 2010 and 2013, respectively. He is currently pursuing a Ph.D. degree at the Technical University of Denmark.
His research interests include electricity markets, distributed generation, energy resources management and optimization, optimization under uncertainty and future power systems.

Abstract

View abstract