Cost-optimal configuration of a renewable-based Australian power system

Authors

  • Tino Aboumahboub Author
  • Robert Brecha Author
  • Himalaya Bir Shrestha Author
  • Ursula Fuentes Hutfilter Author
  • Andreas Geiges Author
  • William Hare Author
  • Matthew Gidden Author

DOI:

https://doi.org/10.24084/repqj18.482

Keywords:

Power System Optimization, Variable Renewable Energies, Power Transmission, Storage

Abstract

Proposed emission reduction targets and the scarcity of fossil fuel resources make a transition of the energy system towards an emission-free electricity supply necessary. Australia represents an interesting case for energy system transformation modelling. While it currently has a power system dominated by fossil fuels, and specifically with a heavy coal component, there is a vast potential for expansion and use of renewable energy, in particular solar and wind energy. However, integrating high shares of such variable renewable energy sources challenges the power system due to their temporal fluctuations and geographical dispersion. This paper applies a state-resolved energy system model for Australia, based on linear optimization. We investigate the cost-optimal configuration of a renewable-based Australian power system and its transformation pathway inline with the ambitious proposed climate targets. We particularly analyze the implications of storage and power transmission grid extensions in a prospective, highly renewable Australian power system. Spatial smoothening effects of a powerful transmission grid reduces the required backup and renewable capacities and thus contributes to further reduction of the total system costs

Author Biographies

  • Tino Aboumahboub

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

  • Robert Brecha

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)
    Physics Department, Renewable and Clean Energy Program, Hanley Sustainability Institute,University of Dayton, Dayton (USA)

  • Himalaya Bir Shrestha

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

  • Ursula Fuentes Hutfilter

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

  • Andreas Geiges

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

  • William Hare

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

  • Matthew Gidden

    Climate Analytics. Ritterstr. 3, 10969 Berlin (Germany)

    International Institute for Applied Systems Analysis, Laxenburg 

Published

2024-01-12

Issue

Section

Articles