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The challenge

No single solution will solve the global energy puzzle

Issues like changing demand, greenhouse gas abatement policies, resource price uncertainty and emerging technologies create a complex strategic arena with multiple drivers. Consequently, delivering energy solutions for a sustainable future is a huge challenge.

Our response

Using data to create models

We use data to create world-leading models specific to the Australian energy and transport sector, to help industry and government gain a clearer picture of what needs to be done to address Australia's energy and transport challenges.

In the National Energy Analytics Research (NEAR) program, we work with stakeholders across the Australian energy sector to identify gaps in analytical capability and data availability, and undertake innovative research and development projects to fill them, for further use in forecasting and planning.

Our Energy Sector Model (ESM) integrates the electricity-generation sector with the transport sector in a single modelling package that can be used to explore major technological and market changes in the way Australia produces and uses energy.

We have developed the Global and Local Learning Model (GALLM) for electricity generation and transport, to provide information on the future cost and uptake of electricity generation and transport technologies globally and locally to 2050.

Most emerging technologies are developed and sold on global markets yet are subject to variable local application costs. As the name suggests, GALLM takes into account both global and local technological change (referred to as 'learning').

Each year, CSIRO and the Australian Energy Market Operator (AEMO), work with industry to give an updated cost estimate for large-scale electricity generation in Australia — the GenCost report. The process considers a range of future scenarios to understand the mix of technologies that may be adopted, and project costs for each of these possible pathways.

Energy data and modelling case studies

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