1/n Today we published a model-based assessment of the grid integration costs of VRE.
Note: we only look at profile and balancing costs, not network costs.
Here I summarize the results in 6 easy tweets.
2/n
In all scenarios we study, a short-term 'optimal' level of VRE is substantially higher than current levels, in the order of 40% of total generation.
This is robust to assumptions on demand, storage cost, cost of capital, retirement of end of life assets, etc.
3/n
The substitution of expensive energy with cheap VRE allows total system costs to decline as we approach 'optimal VRE', even as total system-wide fixed costs go up.
Basic point: cheap energy + expensive capacity is a winning combination for substantially higher VRE.
4/n
Despite cheap BES, the model has to draw on something to meet infrequent parts of net load that can't be served by BES.
This is best met by better market integration across states, pumped hydro, and if absolutely necessary by low sunk cost natural gas.
5/n
The model builds BES in all scenarios, but builds a lot when RE is forced high, when storage costs are low, or when no new gas can be built.
BES economics require frequent cycling to be economic. High VRE (solar) creates the conditions for lots of BES to be economic.
6/n
Once storage energy costs drop to 80 USD/kWh (likely by 2030), storage costs alone are enough to drive more solar build out and reduce (but not eliminate) the need for some gas seasonal peakers.
7/n
VRE starts to shape the economics of the rest of the power system as its share grows. Unless we exogenously constraint VRE, the model never builds new coal, because its CUF is too low for it to be economic.
To tap cheap energy from VRE, capital intensive new coal goes.
8/n
To my knowledge this is first study to look in detail at VRE integration costs. We capture the full sunk costs of all existing plant, in order to fully reflect the system cost impact of lowering thermal CUF. Even so: VRE wins.

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More from @ThomasASpencer

4 Jan
1/n
We ended 2020 with the news that India's power demand cross 180 GW for the first time. Unusually, this occurred in December, when power demand usually peaks is in summer?

What is going on here? Is it sign of the economic recovery?

Short thread.
2/n
Firstly, as I have been repeating, we need to look carefully at both base effect and time period when looking at demand growth.

Monthly demand smooths out daily fluctuations, and comparing 2020 against both 2019 and 2018 shows the importance of the base effect. 👇 Image
3/n
Compared against 2018, 2020 monthly demand has registered only a few months of growth since the lockdown effectively ended in June.

Because of the collapse in demand in the second half of 2019, the picture looks more optimistic if we compare against 2019 (low base effect)
Read 9 tweets
21 Dec 20
1/n
Last week TERI released its flagship report on the prospects for H2 in India.

The full report is here. bit.ly/3poYA2n

At 140 pages, I can't summarize the whole thing in a single thread, but I can do a series of threads.

Today's: H2 in the Indian power sector.
2/n
We do a bottom up assessment to 2050 of power demand across all sectors, including direct and indirect electrification (for electrolytic H2 production).

In the low carbon scenario, power demand reaches as much as 6200 TWh by 2050, with almost 1000 TWh of that for H2. 👇
3/n
This would consume a very substantial chunk of India's maximum estimated technical potential for onshore wind and solar PV. 👇
The required rate of supply growth and land footprint may be challenging!

This reinforces the message: direct electrification wherever possible.
Read 12 tweets
30 Sep 20
1/n
In today's thread, I want to take a look at India's NDC target of reducing the GHG intensity of GDP by 33-35% by 2030, compared to 2005.

I argue that this target is essentially BAU, because India's GHG intensity of GDP is declining as a natural part of development.

Thread
2/n
If we take a long run view of the GHG intensity of India's economy since 1947, it can be seen that GHG intensity peaked in about 1985 and has been declining ever since.

Why is this?
3/n
Firstly, this pattern is common to developing countries across the long-run development trajectory:
- China
- South Korea
- Thailand
- Japan

All experienced this kind of peak and decline structure (Japan and Thailand somewhat early than I graph here).

Why is this?
Read 15 tweets
23 Sep 20
1/n
Yesterday Xi Jinping announced that China would peak its emissions and work towards net zero emissions by 2060.

What does this mean for India?

A short thread on why India is fundamentally different from China, and how it could respond in its climate diplomacy.
2/n
India is, simply put, a much poorer country than China. Its GDP at PPP is 57% below that of China. But I think this actually understates how far India is behind China.

Another way of looking: India's final energy consumption per capita is 70% below that of China.
3/n
Even at PPP, China's final energy intensity of GDP is 30% higher than India's.

Why is this? Essentially, it boils down to economic structure 👇. China's industry share in GDP is much higher than India, and China's industry sector is more energy intensive.
Read 15 tweets
21 Sep 20
1/n
@KanitkarT @tjayaraman
Thank you for clarifying that the source of your claim that developed country patenting in climate mitigation technologies has collapsed from 2009-10 to 2017.

This allowed me to go back and look through the data.

A (long) thread on innovation.
2/n
Firstly, as per your article, I don't think that you can use 2017 as the cut off for the analysis, because as noted in the OECD metadata "figures for the later years may be decreasing because of legal delays for publishing patent information."
3/n
Taking 'priority date' as the best reference date for the patenting (described in the metadata as "closest to the invention date ... To measure inventive activity, patent should be counted according to the priority date"), then data completeness is described as follows :
Read 18 tweets
19 Sep 20
@KanitkarT
@tjayaraman
1/8
In my thread on their article in the Hindu, I wrongly concluded that @KanitkarT and @tjayaraman had got India's and world per capita emissions wrong, as I didn't spot that they used tons C not tons CO2.
I've taken that tweet down and I'm sorry.
2/8
In my defense, no units were mentioned only 'emissions', and tons C is an odd unit to use in a newspaper article.

Adding units would have been good.

I think the rest of @KanitkarT responses to me miss the point. I'll respond to that here again.
3/8
On Germany, I was responding using it as a counterexample to a very specific claim in your piece, which you have sidestepped in your response to me.
You state "renewables at best can meet residential consumption and some part of the demand from the service sector".
Read 9 tweets

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