Associate Professor Iain MacGill

Associate Professor in Energy Systems

 

Telephone:     +61 2 9385 4920

Fascimile:      +61 2 9385 5993

Email:             i.macgill@unsw.edu.au

Room:             316, TETB Building

 

Research Gateway 

 

Qualifications

  • B.E. (electrical engineering), University of Melbourne, 1987
  • M.Eng.Sc. (biomedical engineering), University of Melbourne, 1990
  • Ph.D. in electrical engineering, University of NSW, 1998

Membership of Professional Societies

  • Australian New Zealand Solar Energy Society, Member

Employment

  • University of NSW, Associate Professor 2011 - Present
  • University of NSW, Senior lecturer 2001 - 2011
  • Independent consultant in the renewable energy sector, 2000-2001
  • Greenpeace US, Senior energy policy analyst, 1998-2000
  • University of NSW, Project researcher, 1993-1994, 1996-1997 (part time)
  • JKTech - a commercial arm of the University of Queensland, Engineering
    consultant for the mining industry, 1991-1993

Teaching Areas

  • Renewable energy applications
  • Electrical Power Systems operation

Research Interests

  • Renewable energy - Integration of renewable energy sources into the
    electricity supply system – technology and wider institutional and policy
    frameworks.
  • Renewable Energy Industry development - Technology, market, financial and
    institutional drivers of this industry’s development, policy options to
    maximise and direct its growth.
  • Power system operation - Theoretical and computational approaches for
    coordinating the operation of emerging power systems with independent
    participants and distributed resources.
  • Energy industry restructuring - Electricity market structures and pricing
    for investment and operation. Cooperative, competitive and strategic
    participant behaviour, market frameworks at the distribution system level,
    competition and distributed resources.
  • Distributed, renewable and demand-side resources - Operational
    characterisation and modelling of renewables, novel small-scale generation,
    distributed energy storage and demand-side options.
  • Renewables applications - Large-scale wind power developments, Building
    integrated PV, RAPS systems. Renewable options for the developing world
  • Distributed Artificial Intelligence - Evolutionary computation, intelligent
    agent approaches for complex, uncertain, problem domains.

Professional Interests and Industrial Consulting

  • Consultant to governments, NGOs and the renewable energy industry on
    innovation, sustainable energy transition scenarios and socio-economic
    modelling of renewable energy.