Aidan Morrison Profile picture
Oct 15 34 tweets 13 min read Read on X
As promised, a more thorough review.

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/
Firstly, what are they arguing for?

To introduce some explicit carbon pricing, because coal isn't leaving fast enough to reach our carbon emissions targets.

They say that coal is leaving for financial and ages reasons, but too slow. 2/ Image
I actually disagree with the premise that coal will close for financial reasons.

In fact, coal is declining subsidies, in return for uncapped profits. With average prices soaring, their business case remains quite sound. 3/

This is just in, confirming that Origin is still running a profitable operation at Eraring. 4/

reneweconomy.com.au/origin-hints-a…
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/ Image
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/ Image
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/ Image
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/ Image
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/ Image
Image
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/ Image
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/ Image
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/ Image
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/ Image
Image
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/ Image
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/ Image
Image
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/ Image
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/ Image
Image
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/ Image
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/ Image
Now because they take the GenCost costs from the 2023-34 GenCost, they assume that wind and solar costs will fall. Image
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/ Image
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/ Image
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/ Image
Image
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/ Image
Image
So going back to the Grattan conclusions... this is still the headline. Excluding consumer capital from costs is just silly. 32/
The idea that consumer costs will decline overall rests on that capital exclusion fallacy.

And that idea is very important for their paper. 33/ Image
But they go a step further in saying that the actual prices of electricity won't change much either.

Just $70 per year, in fact.

I don't think the Jacobs report underpinning that is remotely sound. Wholesale and network costs will rise, and rise a lot, in both cases. 34/34 Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Aidan Morrison

Aidan Morrison Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @FootnotesGuy

Oct 9
I missed a crucial footnote.

Remember this drawn-out exchange with @DavidOsmond8 about CSIRO's capacity factors? Post-curtailment or pre-curtailment?

@CSIRO made their method explicitly clear in a previous report, which they reference in the latest.

Let's finish this. 1/ Image
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/ Image
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.

This is egregious. 3/ Image
Read 15 tweets
Oct 2
Chris Uhlmann asked the NSW goverment whether they've modelled electricity prices.

And he's found a trove of modelling and analysis.

Which the NSW government has entirely refused to disclose to the public.

They know prices are going UP.
And are hiding it. 1/ Image
Image
This is a recent document... from a serious consultancy, all about "Price impact of coal exit". And some industrial loads.

That would tell us for sure whether the energy transition is working, or whether we still need coal.

REFUSED.
2/ Image
EY modelling on the Warratah Super Battery. This is Network infrastructure that the NSW Minister directed Transgrid to carry out in 2022.

(I.e. it's not a commercial investment, we'll be forced to pay for it.)

In Sept 2024, still figuring out "configuration".

REFUSED. 3/ Image
Read 13 tweets
Sep 26
Round 4 on my latest take on GenCost. 🥊

Dave and I are duking it out on 2 key questions:

1. CSIRO's definition/use of 'capacity factor'. Is it pre-curtailment or post-curtailment?

2. Is Marginal Loss Factor (MLF) a fair representation of transmission losses? Or Average?
🔔
Let's start with capacity factor.

The crux of David's latest reply is in this highlighted quote.

"these capacity factors are not used at all in the modelling of renewable integration costs".

This is correct, and I understand. 2/

The key thing here is "integration costs" are storage, spillage, transmission, synchronous condensers etc.

That's a stack of costs, but not the whole stack of "integrated renewables", which requires the actual generator too.

It's a component of their larger calculation. 3/
Read 36 tweets
Sep 22
As promised, a critical thread. 🚨

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/Image
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/Image
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/
Read 33 tweets
Sep 19
Our Prime Minister:

"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/ Image
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/
In this thread I dive into some more of the method's detail, uncovering how they managed to model what they did claim. 3/

Read 4 tweets
Sep 19
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/ Image
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/ Image
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/ Image
Read 7 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(