Mel Devine

Senior Researcher
Email: mel.devine@UL.IE

Biography: Mel Devine is a Sustainable Electrical Energy Systems  (SEES) cluster funded postdoctoral researcher based in the Department of Mathematics and Statistics in the University of Limerick (UL) - see his UL webpage here. He is part of the Mathematics Applications Consortium for Science and Industry (MACSI), an applied and industrial mathematics research group.  Mel graduated from UL with a PhD in Applied Mathematics (2013) and with a BSc in Mathematical Sciences (2009). His research interests include the mathematical modelling of energy markets as well as stochastic and risk based modelling.

Mel Devine is funded through the SEES Cluster, supported by Science Foundation Ireland under Grant Number SFI/09/SRC/E1780.

Project:  Mel’s research forms part modelling strand of the SEES cluster.  His current work involves modelling natural gas markets, in particular, using complementarity-based equilibrium models, rolling optimisation and learning algorithms.  Mel also collaborates closely with SEES partners in the ESRI on 1. modelling of Renewable Energy Feed-In Tariffs (REFIT) mechanisms that support renewable energy deployment, 2. modelling reliability in capacity payments and 3. modelling the optimal spatial distribution of wind farms.  In addition, Mel works on numerous industrial-based projects. For example, he is currently collaborating with Rusal Aughinish (alumina production company) and Imperial College London on modelling Rusal’s shipping process using simulation models.



Incorporating reliability into capacity payment mechanisms

Muireann Á. Lynch, Mel T. Devine,
Conference Paper Mannheim, 05-06 May 2015 published on 05/05/2015