Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Assessing the viability of Energy-Only Markets with 100% Renewables

Authors: Jenny Riesz; Iain MacGill; Joel Gilmore;

Assessing the viability of Energy-Only Markets with 100% Renewables

Abstract

Efficient wholesale electricity markets should drive preference revealing bidding where generators offer the majority of their power at their short run marginal cost (SRMC). However, most renewables have very low SRMCs, which in a competitive market is likely to lead to an increasing proportion of low priced periods. Combined with concerns around the variable availability of some renewable generation types, this has led to suggestions that energy-only markets may need to be augmented with capacity remuneration mechanisms as their renewable penetration grows. This analysis explores the operation of energy-only markets with high renewables, with a case study of the Australian National Electricity Market (NEM). Results suggest that existing energy-only market mechanisms have the potential to operate effectively in a 100% renewables scenario, but success will rely upon two critical factors. Firstly, an increase in the Market Price Cap is likely to be required. Preliminary analysis suggests this may need to increase from the present $13,500/ MWh in the NEM to the range $60,000 to $80,000 /MWh. Alternatively, comprehensive demand side participation could allow each customer to select their preferred level of reliability and associated cost, removing the need for an administratively determined Market Price Cap. Secondly, a liquid and well-functioning derivative contracts market will be required to allow generators and retailers to hedge increased market risks successfully.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%