Abstract

Abstract Electricity systems around the world are changing, with the Paris Agreement of 2015 a catalyst for much of this current change.1 The Australian Government ratified this agreement, by commiting to 26-28% emissions reductions below 2005 levels by 2030.2 Additionally, State governments are adopting more ambitious targets to increase variable renewable energy and focusing on net emissions reductions, while the Australian Energy Market Operator (AEMO) warns of power instabilities and load shedding3. Given the difficulties in reducing emissions in other sectors, reductions in emissions from electricity generation has become the focus of these targets. Natural gas is often referred to as a ‘transition fuel’ towards a low emissions future, but this requires that it is in abundance and cost competitive. While the majority of the electricity generated in the National Energy Market (NEM) is coal-based, a vast majority of these plants are due to retire gradually between now and 2050, and this generation loss will need to be replaced in the context of low emissions aspirations. How this is done has significant implications for how much the system will cost, with natural gas playing a pivotal role. In order to decarbonise the grid to meet targets, while building firm, dispatchable generation capacity to support the system, a new metric is required to measure success. The changing generation mix, along with the need to maintain a competent grid, is resulting in previously acceptable cost comparison metrics being used outside of their limited range of applicability. Electricity generation facilities do not only provide energy, they also provide an array of additional services which are fundamental to maintaining a permanent and reliable electricity supply across the system. These services, corresponding costs and operational implications need to be included in the evaluation of technologies in order to ensure the grids emerge transformed, resilient and genuinely sustainable. Total System Cost is the most appropriate economic metric for analysis and decision making in a future, low emissions grid. This paper explores the outputs of the MEGS model (Model of Energy and Grid Services), showing the outcomes if a single technology group is favoured. High renewables, gas and carbon capture and storage scenarios are discussed. The optimal route to power grid decarbonisation needs to be be viewed as a team sport, not a race. It's an "and" not an "or" solution. There's a range of technologies that have very different, yet important, roles to play in providing the pathway to a low emissions, competent and reliable supply at the lowest total system cost.

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