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Teaching

Optimization under uncertainty of an energy system: A robust optimization approach ​By Dr. Ricardo De Lima (KAUST)

  • Class schedule:  Thursday, March 12th, 2015   from  12:00 pm to 1:00 pm
  • Location: Building 9, Room 3131
  • Refreshments:  Pizza and soft drinks will be available at 11:45 am​

Abstract
This talk addresses the optimization of the planning and scheduling of an electricity generation system involving different energy sources. The presentation will start with an introduction on optimization within the industrial and business decision-making process, and some general mathematical programming formulations will be discussed. A specific decision making problem related with the self-scheduling, forward contracting, and pool involvement of an electricity producer with multiple energy sources is presented. In this problem the wind power production and the electricity pool price are considered to be uncertain, and are described by uncertainty convex sets. To solve this problem, a two-stage adaptive robust optimization approach is used, and two variants of an algorithm based on Benders Decomposition will be described. Both algorithms are used to solve two case studies based on two producers. The effect of the producers' approach, whether conservative or more risk prone, is investigated. It was possible to conclude that this parameter influences markedly the producers' strategy, in terms of scheduling, profit, forward contracting, and pool involvement. Regarding the computational results, these show that for some instances, the two variants of the algorithms have a similar performance, while for a particular subset of them one variant has a clear superiority.

Biography
Ricardo M. De Lima joined the SRI-UQ Center at the KAUST as a Research Scientist in October 2014. Previously he was a Marie Curie Fellow at the National Laboratory of Energy and Geology (LNEG) in Lisbon, Portugal. He received the Licentiate degree in 1999, and the Ph.D. degree in 2006, both in Chemical Engineering from the Faculty of Engineering, University of Porto, Portugal, under the supervision of Romualdo Salcedo and Domingos Barbosa. He has worked with Ignacio E. Grossmann as a post-doc fellow in the Department of Chemical Engineering at the Carnegie Mellon University (CMU), PA, USA in 2006-2008, and as a Researcher at the CMU in 2008-2011, with a joint position as Invited Researcher in the PPG Industries in 2008-2011. His main research interests include mathematical programming, robust optimization, applied optimization, energy systems, and the design and of industrial processes.