The headline claim is a really disappointing word-squirm, because it shifts costs to expensive capital purchases (which are ignored) to reduce operating costs (bills).
But there are other deep problems with their price analytics. 1/
So Grattan are right to say that you need to push coal out. They won't jump.
And their preferred mechanism is to make the Safeguard Mechanism (which applies to all heavy emitters) bite harder on electricity, where it currently has a special sector treatment. 5/
So they assume that coal will inevitably be replaced (at end of life, or sooner) by firmed renewable energy, because they're adamant that CSIRO confirms that that's the lowest cost of new built electricity generation.
Reference? the latest GenCost. 6/
This tacitly backs in a conclusion that CSIRO's own report and numbers don't support. Very disappointing. 7/
Moreover, an understanding of the capacity factors involved in CSIRO's assumptions completely overturn this suggestion. Coal will be cheaper, new or old, for as long as we can see. 8/
So the forcing mechanism that they propose is even more needed than they recognise.... But this is all pre-amble to the really, really important question.
What does that mean for system costs, and prices that hit business and households?
They conclude... not much. 9/
Now there are a bunch of clues as to why this is problematic. One of them is that they have an even tighter scenario, targeting 1.5 degrees.
Which costs... slightly less in the short term, more in the medium, and same in the long term. 10/
The other major clue is their projections on the wholesale prices of electricity, which clearly drive the bulk of the effects.
Two major observations.
1. the overall level, around $100/MWh 2. the short-term plunge, down to $50/MWh 11/
The overall level seems... a bit optimistic, but not wildly for the starting point. Averages in 2024 are above $100 across the NEM already. $150 in NSW.
$50/MWh has only been seen in Covid slumps, and before 2016. 12/
So how does one project a massive slump up to 2030, as we massively accelerate the roll-out?
We've seen this before by the AEMC. The trick is to model prices in abstraction from system costs, assuming subsidies force in a glut of renewables. 13/
This phenomenon around the short-term glut driven by subsidies is explicitly confirmed in the Jacobs report which underpins all the Grattan price projections.
As is the dominance of wholesale costs. 14/
Another strange anomaly is that the wholesale cost here is assumed to be the time-weighted price, not the volume weighted price, which is what ends up driving consumer costs. 15/
As we end up with vastly more rooftop solar in the system, it's inevitable that much less grid electricity will be consumed in the middle of the day, when prices are very low. So the volume-weighted average will diverge from the time-weighted. (Source AEMO ISP Appendix 4) 16/
The ISP assumes that a whole bunch of hydrogen production and EV charging helps fill in midday demand... and it looks like Jacobs (and Grattan) assume the same thing. They even say we're going to have a little hydrogen export powered by rooftop solar! 17/
I think any assumptions that include green hydrogen should be ditched altogether. The NSW government has just tabled legislation cutting their upcoming target tenfold. And they have the (only?) major project that might go ahead with subsidies (with Orica). 18/
The Jacobs report still assumes an absolutely massive amount of rooftop solar. So the gap between time-weighting and volume-weighting the wholesale cost could be large. 19/
They do explain how/why they model at least some limitation on negative prices widening that spread. Some rosy assumptions, like hour-long aggregation, nothing above average weather, and EV chargin in the day. 20/
But the really big mystery, about why costs seem to be projected flat around $100, is explained here.
They make an assumption about bidding behaviour, which is "limited by the cost of new entry".
Crucial. 21/
So the critical question is what they think the cost of new entry is. And whether the entrant can force down the wholesale price across the board (which unfirmed renewables certainly can't).
They argue a hybrid with gas can do this, for just over $100/MWh in 2024! 22/
The other strange thing there is that they assume Combined Cycle Gast Turbine (CCGT). That's a gas turbine with a steam turbine powered by the exhaust. It's much more efficient than open-cycle (no steam). But the trade-off is higher capital costs, and much slower ramping. 23/
And this is where the assumptions seem to unravel badly. They assume the CCGT could operate best at 92% capacity factor. But it's efficient to blend in ~38% wind, which would push the gas cost up a bit, but pull the average down, because wind's overall cost is around $85. 24/
Now because they take the GenCost costs from the 2023-34 GenCost, they assume that wind and solar costs will fall.
So it's easy to see how they conclude that the gas-wind combo keeps an average new entrant cost around $100 in the long term.
And that explains how their modelling of bidding capped by that stays so low.
But there's one, massive glaring contradiction. 26/
How do you push emissions down right the way to practically zero, if you still assume that all your new entrants will burn gas in a CCGT 62% of the time to provide a $100/MWh, firm solution with wind providing some fuel-saving just 38% of the time? 27/
So I just can't see how this absolute collapse in the emissions intensity of the grid is consistent with still using gas at ~60% capacity factor for a hybrid new entrant. 28/
In practice, if you want to reach net-zero, you'd have to go to faster ramping open-cycle gas turbines, with much, much lower capacity factors, and hence a much higher long-run marginal cost. They would set the price. This is a critical flaw in my eyes. 29/
I'm also absolutely shocked by the dismissal of network costs as being small, and not a driver of prices overall. This is another glaring omission. Network costs will definitely surge. 30/
And the rate of construction from the Capacity Investment Scheme is just.... Well I just don't think that will happen. And they explicitly rely upon that happening to create that slack in the wholesale market, which underpins everything. 31/
So going back to the Grattan conclusions... this is still the headline. Excluding consumer capital from costs is just silly. 32/
And on page 80 of the 2022-23 report we have CSIRO's explanation.
These are historically achieved capacity factors in the NEM.
They explicitly discuss economic and transmission curtailment being reflected in these.
Dave was wrong. 2/
The absurdity of CSIRO's method is made clear by the fact that they've taken the very highest single year for an individual facility as their upper bounds.
No single investor could achieve this over plant life.
Let alone the whole grid.
Here's the simplest sufficient proof that any realistic roll-out of integrated renewables will drive prices up.
$176/MWh is, in fact, the LOWEST cost that CSIRO's GenCost analysis supports, and it could be much, much more.
It's all in the capacity factors: the key performance metric of renewables. There are dozens of additional flaws and shortcomings, but this is the cleanest, clearest kill-shot for all the "renewables are cheapest" nonsense. The rest is bonus material.
CSIRO's "range" of integrated costs comes from their selection of upper and lower bounds for how much power, on average, wind and solar produce.
But their upper bounds are insane (32% solar, 48% for wind), essentially the highest imaginable from a single star-performer, in ideal conditions. Not a credible average for a massive roll-out.
Their lower bound is really close to the current average. Just 10% below, to be precise. But even this is still in ideal conditions.
But even that's an optimistic average to expect as we scale up, since the best and easiest renewable sites are taken.
And neither of these upper and lower bounds incorporates the real-world conditions that we know renewables actually face, including transmission losses, equipment degradation etc.
With just transmission losses incorporated, we land on CSIRO's worst-case as the current best-case, and it'll inevitably get worse from there.
My analogy is this:
Imagine trying to raise an army, and assess the performance your soldiers advancing on foot.
For an upper-bound, you take Usaine Bolt's track time for the 100m.
For the lower-bound, you take a near-average recruit (just slightly lacklustre) but still assess them running without gear on the flat, firm sports-fields used for PT.
With a range that starts near the average, and extends out to stardom, you claim the 'mid-point' as your expected value. This is already far, far higher than the average recruits can manage on exercise.
But the situation is worse... not only do people slow down when you put them in rough real-world conditions, ie rough terrain, and load them down with gear, the average quality of recruits is declining too:
Imagine is the second, or third year of the war. The pick of the litter have already been recruited and been deployed.
So in reality, if you want to roll out absolutely massive scales of renewables, you can rule out the performance of your star-performers, just as you can't raise an army of Usaine Bolts. Individual peak performance is a useless metric. The exception will never become the rule. The average will be, by definition, pretty average, and won't get any better than the average you've had to date.
Which is all you need to prove that renewables are not cheapest, and never will be. Details below.
1/
Here are the ranges for CSIRO's 'ideal' mix of integrated, firmed wind and solar. Their chart just shows a mid-point. I'll focus on the 90% Variable Renewable Energy (VRE), because that's what policy says we're aiming for, but it's much the same.
(See Apx Table B.10, page 96 to see those numbers come from CSIRO's GenCost at source. Not my calculation, I've just drawn them on the chart.) 2/
I'd like to emphasise a critical leap that I've made there:
The range reflects the capacity factors.
ONLY the capacity factors.
I think it's normal - if you see a range - to assume that a whole bunch of uncertainties might contribute the range of possible values. 3/
"I can guarantee that the cheapest form of new energy is renewables."
This is insane. At some stage soon I'll write up why CSIRO's GenCost actually proves the opposite.
But below, I'll just re-link the earlier commentary on the AEMC's work quoted. 1/
In this thread, I spell out how the @the_AEMC has created a piece of fan-fiction for the ISP, abandoning their terms of reference. It repeats and accepts the most ridiculous assumptions of the ISP. Like ignoring costs of consumer investments. 2/
It's pretty to easy to see how utterly debased the @CSIRO modelling underpinnning the economic claims regarding the 2035 targets is.
They assume the whole world is committed to Paris targets, ie. Net Zero. They don't have any baseline where that doesn't happen. 1/
That's right, they derive a "global carbon price" commensurate with the world hitting net-zero targets. And apply it to Australia.
(Without saying anywhere in the document what that price is!) 2/
And that price seems to be enough for us to OVERSHOOT the 2030 targets! The Labor plan says we need 82% renewable energy by 2030. Not even Ross Garnaut thinks that's possible.
But CSIRO models us beating that, in all scenarios!
This is absurd. 3/