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The end of natural gas is near
I've often thought that gas would only bridge to batteries. Apparently the major makers of gas turbines were rapidly scaling back production last year. We may be near the gas peaker peak. If production goes low enough then there wont be enough new capacity of gas generators to cover retired capacity. The challenge is that big batteries can now provide peak power at less cost, while integrating renewables and providing a deep stack of services. The real kicker is that while a 100MW gas plant takes about 6 years to develop, Tesla can deploy 100MW of battery power in about 100 days and wind or solar can be included within a year.

Here's an interesting chart from the Tesla battery in South Australia.
hornsdale-power-reserve-.jpg

Tesla big battery moves from show-boating to money-making
This Tesla can go from 0 to 100MW in 140 milliseconds! Look at how delicate some of the trading is. These two days of rate arbitrage brought in about $1M. I doubt a gas peaker can be as nimble. With enough battery capacity on the scene, these peak prices could be pushed down even as the low early morning prices could be supported. The Hornsdale Power Reserve is supposed to be paired with a wind farm. I don't know if that farm was online at this time.

This rate arbitrage service is just using 30MW / 90MWh of capacity out of 100MW / 130MWh. That leaves the other 70MW /40MWh for other services in the stack.
 
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In china NEV stands for New Energy Vehicle. Ie normal vehicles using energy other than liquid fossil fuel. So its hydrogen and electric and plug in hybrid.

So a Tesla in China is a NEV.


What western define as Neighbourhood electric vehicle is named differently in China, thats a LSEV. Look up shadong LSEV to get an idea. Actually EV in china by default refers to LSEV. A full capacity in China is strictly called a NEV so not to confuse it with a 2-3 wheel 'EV'
 
The end of natural gas is near
I've often thought that gas would only bridge to batteries. Apparently the major makers of gas turbines were rapidly scaling back production last year. We may be near the gas peaker peak. If production goes low enough then there wont be enough new capacity of gas generators to cover retired capacity. The challenge is that big batteries can now provide peak power at less cost, while integrating renewables and providing a deep stack of services. The real kicker is that while a 100MW gas plant takes about 6 years to develop, Tesla can deploy 100MW of battery power in about 100 days and wind or solar can be included within a year.

Here's an interesting chart from the Tesla battery in South Australia.
hornsdale-power-reserve-.jpg

Tesla big battery moves from show-boating to money-making
This Tesla can go from 0 to 100MW in 140 milliseconds! Look at how delicate some of the trading is. These two days of rate arbitrage brought in about $1M. I doubt a gas peaker can be as nimble. With enough battery capacity on the scene, these peak prices could be pushed down even as the low early morning prices could be supported. The Hornsdale Power Reserve is supposed to be paired with a wind farm. I don't know if that farm was online at this time.

This rate arbitrage service is just using 30MW / 90MWh of capacity out of 100MW / 130MWh. That leaves the other 70MW /40MWh for other services in the stack.

As I understand it, the wind farm was previously built and already in service. That's what enabled the "Tesla Big Battery" to be built so quickly - the wind farm already existed and had a grid interconnect already in place that the Hornsdale Power Reserve could be connected to (no grid wiring needed).
 
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As I understand it, the wind farm was previously built and already in service. That's what enabled the "Tesla Big Battery" to be built so quickly - the wind farm already existed and had a grid interconnect already in place that the Hornsdale Power Reserve could be connected to (no grid wiring needed).
Thanks for the clarification. I wonder if the volatility in charging, then, is due to the gustiness of the wind farm. Presumably, the battery could be trimming off excess of wind production so that the net wind power delivered to grid is really smooth and reliable. This would explain the streakiness of charging.
 
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Thanks for the clarification. I wonder if the volatility in charging, then, is due to the gustiness of the wind farm. Presumably, the battery could be trimming off excess of wind production so that the net wind power delivered to grid is really smooth and reliable. This would explain the streakiness of charging.

The big blades have mass and inertia to smooth out the gustiness of wind, so the peakiness should just be its responsiveness to the needs of the grid.
 
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Thanks for the clarification. I wonder if the volatility in charging, then, is due to the gustiness of the wind farm. Presumably, the battery could be trimming off excess of wind production so that the net wind power delivered to grid is really smooth and reliable. This would explain the streakiness of charging.

Another piece of the puzzle is that the Hornsdale Power Reserve, or at least that facility, is really more like 2 facilities in 1. I'll see if I can find an article that makes the specific sizes clear, but the idea is that part of the reserve is high power and low energy (~100MW and ~30 MWh) - that piece is contracted by the state government of SA and is used for grid services.

The other is low power (~30 MW) and high energy (~100 MWh), and is owned and operated by the wind farm owner (Neoen I think is the name), and is used to store excess wind production and smooth out peaks and valleys in the wind farm output to the grid.
 
Another piece of the puzzle is that the Hornsdale Power Reserve, or at least that facility, is really more like 2 facilities in 1. I'll see if I can find an article that makes the specific sizes clear, but the idea is that part of the reserve is high power and low energy (~100MW and ~30 MWh) - that piece is contracted by the state government of SA and is used for grid services.

The other is low power (~30 MW) and high energy (~100 MWh), and is owned and operated by the wind farm owner (Neoen I think is the name), and is used to store excess wind production and smooth out peaks and valleys in the wind farm output to the grid.
That has to do with the stack of services it provided. They basically partition capacity (both power and energy) for different purposes. The state pays for the 100WM/30MWh portion for dealing with emergency power. The other 30MW/90MWh Neoen can use to trade power in the wholesale market to make a profit. I suspect that when emergency service requires it the 30MW portion for trading gets diverted to emergency use. So stacking is not exactly a fixed partition at all times.

So if you find a good article on the Hornsdale stack, let us know. I do think that stacking is one of the most important concepts for how batteries optimize value creation, and it is not entirely obvious how stacking works. Many arguments about whether batteries are cost effective run into the error of fixating on just one sort of service while ignoring the full stack potential. We've all seen those cost of storage calculations that make battery storage not look so attractive, but this ignores things like voltage regulation, frequency regulation, back up power, etc. which create multiple revenue streams that partly pay for the cost of storage, so that the net cost of storage may actually be quite affordable.
 
That has to do with the stack of services it provided. They basically partition capacity (both power and energy) for different purposes. The state pays for the 100WM/30MWh portion for dealing with emergency power. The other 30MW/90MWh Neoen can use to trade power in the wholesale market to make a profit. I suspect that when emergency service requires it the 30MW portion for trading gets diverted to emergency use. So stacking is not exactly a fixed partition at all times.

So if you find a good article on the Hornsdale stack, let us know. I do think that stacking is one of the most important concepts for how batteries optimize value creation, and it is not entirely obvious how stacking works. Many arguments about whether batteries are cost effective run into the error of fixating on just one sort of service while ignoring the full stack potential. We've all seen those cost of storage calculations that make battery storage not look so attractive, but this ignores things like voltage regulation, frequency regulation, back up power, etc. which create multiple revenue streams that partly pay for the cost of storage, so that the net cost of storage may actually be quite affordable.

Here's a descriptive article about the Hornsdale Power Reserve and its two components.
Yes, the Tesla battery is massive, but it can do much more beside

Turns out it's 70MW / ~12 MWh (10 minutes) for network stabilization / frequency control, and 30 MW / ~117 MWh (3-4 hours) for energy / time shifting of wind energy.


In practice, more recent articles are making the point that Neoen (owners and operators of the system) are sometimes using the battery to play in markets its not contracted for "just because they can". Such as reacting to a coal plant tripping (going offline unexpectedly) by beating the official reserve capacity into the grid to stabilize the grid, ahead of the official reserve getting in and taking over.

I think I saw an article talking about Neoen / Hornsdale Wind Farm starting to bid into the FCAS (frequency regulation) market - something wind / renewables don't typically do :)

Many articles on RenewEconomy about how the big battery is pushing boundaries and changing perceptions of what's possible and how to do things. Here's a reasonably good index into many recent articles (HPR gets an article quite frequently over the last month - LOTS of fascination on many people's parts of what's possible).
Search for "hornsdale power reserve" - 2/3 - RenewEconomy : RenewEconomy

For fun, here's an article about the response to the (coal plant) Loy Yang B trip and HPR response:
Tesla big battery outsmarts lumbering coal units after Loy Yang trips

The part I find most interesting - HPR wasn't part of the reserve being paid to provide that service, and the response was to an event that happened 1,000km away.

They also make the point that for all the data we have, HPR is reacting in milliseconds, in a market where the data is measured at a 4s level of detail. The market really doesn't understand technology with millisecond reaction time, and is still figuring out what it might mean.
 
Ready for $100 oil?

I think that is entirely possible. But more because of a weak USD rather than because we have an actual (world) price movement. In fact, the price of WTI is pretty much unchanged (+1.3%) over the year of 2017 from a EUR perspective.

If you compare WTI to Sugar and take Euro as base currency you get that both commodities - while not being totally "static" have a pretty high correlation in their price movements and are - more importantly - within +/- 4% of the prices a year ago. So I don't think this is oil specific.

Crude Oil (petroleum); West Texas Intermediate vs Sugar - Price Rate of Change Comparison - IndexMundi

Unless I missed something fundamental here. Problem will be that much of the oil accounting is going on in USD so I think there will be a problem at some point in time if the USD tanks too much...

EDIT: I need to think about this more. I don't think what I wrote above is entirely accurate. Yes, the forecast for the USD is not brilliant, but I don't think we have had a horrible 2017 so I don't think what I wrote is the complete story. What would be a good way to compare crude prices against a basket of currencies?
 
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I think that is entirely possible. But more because of a weak USD rather than because we have an actual (world) price movement. In fact, the price of WTI is pretty much unchanged (+1.3%) over the year of 2017 from a EUR perspective.

If you compare WTI to Sugar and take Euro as base currency you get that both commodities - while not being totally "static" have a pretty high correlation in their price movements and are - more importantly - within +/- 4% of the prices a year ago. So I don't think this is oil specific.

Crude Oil (petroleum); West Texas Intermediate vs Sugar - Price Rate of Change Comparison - IndexMundi

Unless I missed something fundamental here. Problem will be that much of the oil accounting is going on in USD so I think there will be a problem at some point in time if the USD tanks too much...

EDIT: I need to think about this more. I don't think what I wrote above is entirely accurate. Yes, the forecast for the USD is not brilliant, but I don't think we have had a horrible 2017 so I don't think what I wrote is the complete story. What would be a good way to compare crude prices against a basket of currencies?

Do you think the relationship could be the other way around?
 
BNEF Talk: The Future of Electric Vehicles

I highly recommend watching this entire 16 minute video.

Collins finally gives attention to commercial EVs. He notes that in 2016 16GWh of batteries went into Chinese EV buses while 20.5GWh all global EV autos. By my own estimate I figure that the buses may be displacing about 3 times as much fuel per day as the autos. So tracking EVs in GWh is very important. GWh is what links more closely with demand on minerals and impact on oil markets and emissions.
 
BNEF Talk: The Future of Electric Vehicles

I highly recommend watching this entire 16 minute video.

Collins finally gives attention to commercial EVs. He notes that in 2016 16GWh of batteries went into Chinese EV buses while 20.5GWh all global EV autos. By my own estimate I figure that the buses may be displacing about 3 times as much fuel per day as the autos. So tracking EVs in GWh is very important. GWh is what links more closely with demand on minerals and impact on oil markets and emissions.
Great vid, thanks for sharing!
 
Ev-volumes.com has updated their forecast for world EV auto sales. 2017 came in at 1,218,000, up 57% over last year and reaching 1.28% market penetration. They forecast 1.9M, 1.95% market share for 2018.

WW-G-12-2017.png


I've also been playing around with building my own logistic growth models. Here is my extended forecast based on the 2018 forecast and history from ev-volumes.com.

Code:
World                                  
                        3.60%            0.410
Year    EV    ICE    Total    EV Growth    ICE Growth    Total Growth    EV Share     Logit Share    Change Logit
2012    134    78,690    78,824                0.17%    -6.38  
2013    211    84,189    84,400    57.5%    7.0%    7.1%    0.25%    -5.99    0.39
2014    325    85,201    85,526    54.0%    1.2%    1.3%    0.38%    -5.57    0.42
2015    546    87,519    88,065    68.0%    2.7%    3.0%    0.62%    -5.08    0.49
2016    774    89,226    90,000    41.8%    2.0%    2.2%    0.86%    -4.75    0.33
2017    1,218    93,938    95,156    57.4%    5.3%    5.7%    1.28%    -4.35    0.40
2018    1,900    95,536    97,436    56.0%    1.7%    3.6%    1.95%    -3.92    0.43
2019    2,936    98,004    100,940    54.5%    2.6%    3.6%    2.9%    -3.51    0.41
2020    4,515    100,055    104,570    53.8%    2.1%    3.6%    4.3%    -3.10    0.41
2021    6,894    101,436    108,330    52.7%    1.4%    3.6%    6.4%    -2.69    0.41
2022    10,422    101,804    112,226    51.2%    0.4%    3.6%    9.3%    -2.28    0.41
2023    15,533    100,729    116,262    49.0%    -1.1%    3.6%    13.4%    -1.87    0.41
2024    22,702    97,740    120,442    46.2%    -3.0%    3.6%    18.8%    -1.46    0.41
2025    32,339    92,435    124,774    42.4%    -5.4%    3.6%    25.9%    -1.05    0.41
2026    44,609    84,651    129,261    37.9%    -8.4%    3.6%    34.5%    -0.64    0.41
2027    59,256    74,653    133,909    32.8%    -11.8%    3.6%    44.3%    -0.23    0.41
2028    75,542    63,183    138,725    27.5%    -15.4%    3.6%    54.5%    0.18    0.41
2029    92,404    51,310    143,713    22.3%    -18.8%    3.6%    64.3%    0.59    0.41
2030    108,780    40,101    148,881    17.7%    -21.8%    3.6%    73.1%    1.00    0.41
2031    123,909    30,326    154,235    13.9%    -24.4%    3.6%    80.3%    1.41    0.41
2032    137,449    22,333    159,782    10.9%    -26.4%    3.6%    86.0%    1.82    0.41
2033    149,410    16,117    165,528    8.7%    -27.8%    3.6%    90.3%    2.23    0.41
2034    160,020    11,460    171,480    7.1%    -28.9%    3.6%    93.3%    2.64    0.41
2035    169,584    8,063    177,647    6.0%    -29.6%    3.6%    95.5%    3.05    0.41
2036    178,404    5,631    184,035    5.2%    -30.2%    3.6%    96.9%    3.46    0.41
2037    186,740    3,913    190,653    4.7%    -30.5%    3.6%    97.9%    3.87    0.41
2038    194,799    2,710    197,509    4.3%    -30.7%    3.6%    98.6%    4.27    0.41
2039    202,739    1,873    204,612    4.1%    -30.9%    3.6%    99.1%    4.68    0.41
2040    210,678    1,292    211,970    3.9%    -31.0%    3.6%    99.4%    5.09    0.41

Here I am assuming that total autos continue to grow 3.60%/y and that the logit growth continues at 0.410/y. The logit is simply the log ratio of EV share to ICE share, ln(EV/ICE), and it is remarkably stable for the global market.

Some observations about this forecast...

New ICE sales are to peak at 102M in 2022. Leading up to this ICE sales will find it increasingly hard to grow. This could become a crisis for automakers that are not prepared to compete in the EV market. After the peak, the decline picks up speed each year. Just 3 years later in 2025, the decline could be 5.4%. Massive layoffs for the unprepared could be unavoidable with such a rate of decline, and it only gets worse in following years.

Peak New ICE coincides with EV penetration reaching just 9.3% in 2022. By 2025 penetration is 26%, 54% by 2028, and 73% by 2030. The logistic curve is maybe to conservative about how long it takes to transition as you approach high penetration, other models transition much faster to 99%.

In any case, most of the exciting changes will happen by 2030, and ICE sales will be clearly insufficient to replace old ICE falling out of service. That is the active ICE fleet will peak sometime from 2026 to 2030. This is not modeled here, but it is simply a question when new ICE sales are insufficient to replace old ICE.

I think that peak new ICE will be an important marker, especially sense massive auto worker layoffs can be expected to happen with a few years of the peak. Yes, many auto workers will be able to find jobs building EVs, but the complexity is lower. Moreover there are many auto parts that are needed for ICE, specifically engines, transmissions, exhaust systems, fuel tanks. So many auto part makers will be faced with rapidly declining demand. It's hard to see how massive disruption to labor can be avoided.

Also as ICE makers face down this peak, it will be very difficult for the oil market to deny the imminent threat to oil demand. Traditional automakers will be desperate to build EVs just to be able to post some modest growth. So the oil markets will have to change a lot of their assumptions about automaker eagerness to make EVs. Certainly growth in demand for oil will be hard to come by as ICE sales peak. Really, the ultimate demand for oil depends on how long it takes to reach peak new ICE. The sooner it happens, the less oil will be extracted ever.
 
So here is the forecast for USA from ev-volumes.com.
USA-G-12-2017.png

It is a bit surprising to see EVs double in 2018, but this pretty much comes down to how well the Model 3 ramp goes. Additionally, their forecast forecast total auto sales in 2018 implies a 1.7% decline over prior year. The combination of 100% growth in EVs and 1.7% decline in total cars implies that ICE sales decline of 2.9%. Short of volatility exerting a new high for US ICE sales the peak of 17,309,000 in 2015 could stand for all time. Essentially, the oil price decline in 2015 may have helped to pull ICE sales ahead after the fleet had aged quite a bit from the 2009 recession. Digesting this pull ahead likely lead to the decline in auto sales last year and could continue as headwind for 2018.

So for my extended forecast, I'll assume a 2.52%/y growth rate for total auto as this is the average growth from 2012 to forecasted 2018. This assumption has strong implications for growth in ICE. Auto sales do tend to be cyclical, but this may be more of a problem for ICE than EVs, since the later is in a very strong growth phase. Even so, the cyclical behavior of auto sales makes it hard to predict when ICE will ultimately peak.

Also I will base the change in logit on average from 2012 to forecast 2018. This is 0.309/y, which is substantially slower than the change rate for world at 0.410/y. The world rate is likely dominated by China (which I cannot find data for). Additionally, the US estimate is perhaps dampened by the decline in EV sales that were induced by oil prices, which was not so much an issue in China. So given that oil looks to be priced above $60 into the 2020s, I think the 0.309/y rate is likely too low. Even so assuming a slow rate like this would tend to understate just how quickly EVs will catch on in the US.

So here is my extended forecast...
Code:
USA                                  
                                                        2.52%                                     0.309
Year    EV    ICE    Total    EV Growth    ICE Growth    Total Growth    EV Share     Logit Share    Change Logit
2012       55    14,419    14,474                             0.4%    -5.57  
2013       97    15,548    15,645    76.4%    7.8%    8.1%    0.6%    -5.08    0.49
2014      120    16,318    16,438    23.7%    5.0%    5.1%    0.7%    -4.91    0.16
2015      115    17,309    17,424    -4.2%    6.1%    6.0%    0.7%    -5.01    -0.10
2016      157    17,287    17,444    36.5%    -0.1%    0.1%    0.9%    -4.70    0.31
2017      200    16,894    17,094    27.4%    -2.3%    -2.0%    1.2%    -4.44    0.27
2018      400    16,407    16,807   100.0%    -2.9%    -1.7%    2.4%    -3.71    0.72
2019      554    16,677    17,231    38.5%    1.6%    2.5%    3.2%    -3.40    0.31
2020      765    16,900    17,665    38.1%    1.3%    2.5%    4.3%    -3.10    0.31
2021    1,051    17,059    18,111    37.5%    0.9%    2.5%    5.8%    -2.79    0.31
2022    1,438    17,129    18,567    36.8%    0.4%    2.5%    7.7%    -2.48    0.31
2023    1,954    17,082    19,036    35.9%    -0.3%    2.5%    10.3%    -2.17    0.31
2024    2,631    16,885    19,516    34.7%    -1.2%    2.5%    13.5%    -1.86    0.31
2025    3,504    16,504    20,008    33.2%    -2.3%    2.5%    17.5%    -1.55    0.31
2026    4,601    15,911    20,513    31.3%    -3.6%    2.5%    22.4%    -1.24    0.31
2027    5,943    15,087    21,030    29.2%    -5.2%    2.5%    28.3%    -0.93    0.31
2028    7,530    14,031    21,560    26.7%    -7.0%    2.5%    34.9%    -0.62    0.31
2029    9,335    12,769    22,104    24.0%    -9.0%    2.5%    42.2%    -0.31    0.31
2030   11,308    11,354    22,662    21.1%    -11.1%    2.5%    49.9%    0.00    0.31
2031   13,375     9,858    23,233    18.3%    -13.2%    2.5%    57.6%    0.31    0.31
2032   15,457     8,363    23,819    15.6%    -15.2%    2.5%    64.9%    0.61    0.31
2033   17,478     6,942    24,420    13.1%    -17.0%    2.5%    71.6%    0.92    0.31
2034   19,384     5,651    25,036    10.9%    -18.6%    2.5%    77.4%    1.23    0.31
2035   21,143     4,525    25,667    9.1%    -19.9%    2.5%    82.4%    1.54    0.31
2036   22,742     3,573    26,314    7.6%    -21.0%    2.5%    86.4%    1.85    0.31
2037   24,189     2,789    26,978    6.4%    -21.9%    2.5%    89.7%    2.16    0.31
2038   25,500     2,159    27,659    5.4%    -22.6%    2.5%    92.2%    2.47    0.31
2039   26,697     1,659    28,356    4.7%    -23.1%    2.5%    94.1%    2.78    0.31
2040   27,803     1,268    29,071    4.1%    -23.6%    2.5%    95.6%    3.09    0.31

So we see in this extended forecast that US ICE may encounter the EV-induced peak in 2022, the same peak year as the global ICE market. If change in logit is faster than I have assumed or total sales growth is slower, then this peak could arrive as early as 2020. Given the volatility of US auto sales we may never know.

Even so, EVs reach 7.7% penetration at this theoretical ICE peak in 2022, which climbs to 17.5% in 2025 and 50% by 2030. These market share forecasts are quite sensitive to the low assumption of logit change. If the global rate of 0.41/y is applied in the US, then we are looking at 11%, 30% and 77% in years 2022, 2025 and 2030, respectively. I believe this difference will be largely consumer demand driven as opposed to policy driven or supply constrained. In the US Tesla will be the dominant player. So I believe that US consumers will really want to own and drive these electrics.

So by 2025 US ICE is declining 2.3%/y and 11%/y by 2030. This does not look good for US jobs linked to production of ICE drivetrains. There is a distinct political risk that policy could turn protectionistic toward ICE and attempt to slow down EV adoption. Even so I suspect that consumers will really want EVs and balance out political shenanigans. It may be really good politics for Tesla to build a Gigafactory in or near Detroit, just saying.
 
BTW, one fun thing I can do with my extended model is run it out several more decades to see how many cars will ultimately be bought. I figure that after 2020 about 917M more ICE autos will ever be bought. This, of course depends on how fast the logit grows. So the error on this is around +/-200M. The lifetime fuel consumption of an efficient auto is about 100 barrels of gasoline. The ultimate fuel consumption for all auto built after 2020 is likely less than 100 billion barrels.

For comparison, in the 50 years following 2020, my model expect 13.7 trillion EV autos to be bought. So ICE is picking up less than 7% of this 50 year market. Of course am this is assuming that total auto sales continue to grow at 3.6%/y through 2070. I would hope that in the next 50 year the human population growth would slow down so that not so many auto would be needed.

Regardless on a long time scale, only a finite number of ICE autos will ever be built. This is part of puting an ultimate cap on oil demand.
 
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