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Prof Afzal Siddiqui
Appointment
  • Professor of Energy Economics
  • Dept of Statistical Science
  • Faculty of Maths & Physical Sciences
Biography

Afzal S. Siddiqui is Professor of Energy Economics in the Department of Statistical Science. Previously, he was a Senior Lecturer at UCL (2010-2017), a Lecturer in Statistics at UCL (2005-2010), and a College Lecturer in the Department of Banking and Finance at University College Dublin. After having completed his Ph.D. in Industrial Engineering and Operations Research from the University of California at Berkeley in 2002, Afzal served as a Visiting Assistant Professor in the Department of Industrial Engineering and Operations Research at UC Berkeley (2002) and a Visiting Post-doctoral Researcher at the Ernest Orlando Lawrence Berkeley National Laboratory (2002-2003). In addition, he is a Professor at the Department of Computer and Systems Sciences of Stockholm University and a Visiting Professor at the Systems Analysis Laboratory of Aalto University.

Research Groups
Research Summary

Afzal's research interests are in energy economics, specifically the application of financial and operational research methods for making decisions under uncertainty and competition. Indeed, the deregulation of electricity industries worldwide means that policymakers must anticipate the behaviour of market participants when setting targets for sustainability. Thus, it is desirable to use tools such as complementarity modelling, real options, and stochastic programming to analyse investment in and operation of renewable energy technologies. The objective of Afzal's work is to gain insights that will assist producers and consumers to make more informed decisions, e.g., about technology choice and risk management, and to provide policy guidance when designing market mechanisms. Previously, he was involved with the ELDEV project in Trondheim, Norway, which sought to foster closer cooperation between industry and academia, namely in the area of improved business practices for the electric power industry. He has also contributed to the development of a deterministic optimisation tool, DER-CAM, that solves a microgrid's DG investment and operational problem in detail. Recently concluded work involved a Natural Environment Research Council project on the application of real options in energy-sector decarbonisation as well as coordination of an EU FP7 project, EnRiMa, which used stochastic optimisation in order to improve energy efficiency and manage risk in European public buildings. 

Academic Background
2002 PhD Doctor of Philosophy – Industrial Engineering and Operations Research University of California - Berkeley
1998 MS Master of Science – Industrial Engineering and Operations Research University of California - Berkeley
1997 BS Bachelor of Science – Industrial Engineering and Operations Research Columbia University
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