Friday, April 12, 2024

Is renewable energy cheaper than fossil fuels?

Answer:  Mostly, yes, but there are complications


From The Climate Brink.


Is renewable energy (RE) cheaper than fossil fuels?


To begin to answer this, we need to define what cost we’re talking about. Let’s first talk about the cost of RE energy vs. fossil-fuel energy on a grid that’s dominated by dispatchable power, such as fossil fuels. This is what most electrical grids are like today.

 

For a grid dominated by dispatchable power (i.e., power sources that can be turned on or off at will), the intermittency of wind and solar imposes no costs. Thus, the relevant cost comparison is between the so-called Levelized Cost of Energy (LCOE) of the various energy sources:




Virtually all credible analyses agree that RE has the lowest LCOE. Therefore, it is the cheapest energy source for grids that contain a lot of dispatchable power.

 

This explains why, for example, 95% of the power scheduled to be hooked up to the ERCOT (Texas) grid is RE (solar, wind, or batteries). Natural gas is 5%.

 

For a grid that’s mainly fossil fuels, every kW of renewable power (RE) you add displaces a kW of expensive and dirty fossil fuel power. But, as the grid gets more and more RE, that changes. At high levels of RE deployment, the intermittency of the wind and solar means that you need to add several kW of wind and solar to displace a single kW of fossil fuels. This drives up the marginal cost of RE energy.

 

In addition, high RE levels mean that RE is competing with the most efficient and cheap fossil-fuel generation, some of which have not yet been paid off. Additionally, the more RE you add, remaining RE sites are higher cost and lower quality.

The net result is that, beyond some point, the price of energy on the grid starts increasing as you add RE. Qualitatively, the price of electricity vs. RE deployment looks like this:


Right now, around 20% of our electricity comes from wind and solar and this is already saving consumers billions of dollars a year. As we increase RE deployment, the price of electricity will continue to decline and consumers save money.

 

Then we reach the minimum price point. One study from NREL concluded that this occurs when RE penetration reaches 57% (in 2050). At this point, electricity produced on this grid is cheaper than a fossil-fuel heavy grid and, as a bonus, we’re also emitting a lot less CO2.

 

As we move beyond 57%, the declining value of wind and solar to the grid means the price of energy increases. However, it remains below what we’re paying today for a fossil fuel grid until we get to around 90% RE.

 

Let me repeat for those in the backrow: we can get to a 90% RE grid and pay about the same as we’d pay with a fossil-fuel heavy grid. And this doesn’t account for the external costs of fossil fuels (see below).

A significant amount of the discourse about RE focuses on the cost of achieving net zero by 2050, which requires completely eliminating fossil fuels. No one knows how much this will cost, but some studies have produced eye-popping numbers: 



Many analyses have looked at this goal and they agree that a lot of the costs of reaching net zero are driven by the cost of phasing out the last few percent of fossil fuels. The reason is that the last few percent of emissions are the hardest to abate and the ones for which technology to replace fossil fuels is expensive or undeveloped. For example, decarbonizing long-distance airline flights is one of the last things we’ll decarbonize because it would probably require biofuels, which could have very high costs.

 

This is quantified in this plot, which shows the incremental abatement cost (orange line) as a function of how much RE is on the grid. For a 95%-RE grid, the abatement cost is $200/tonne, increasing to $930/tonne for 100% RE.


Figure 1 of Cole et al.

Thus, it’s easy to look at the price tag for getting to net zero and conclude, “Wow, this is too expensive.” But that misses the fact that the cost of getting to a slightly lower value, e.g., a 90% clean-energy grid, is actually quite modest.

 

These net-zero estimates also hinge heavily on future innovation — a variable notoriously difficult to predict. History has shown us, particularly in the last decade, that technological advancements can drastically outpace predictions, as seen with the enormous drop in the cost of solar panels, which no one predicted.


 

External costs

All of these discussions focus on the market price of energy. Such a discussion neglects the extensive subsidies that distort the energy market. While RE sources receive financial support, the subsidies for fossil fuels are substantially larger and more ingrained within global economies.

 

Moreover, the price of fossil fuels seldom reflects their full societal costs — what economists call externalities. Recent estimates of the cost of climate impacts puts it around $185/ton of CO2 emitted. These costs are not included in the cost of fossil fuels.

 

Air pollution from fossil fuels kills millions of people every year. Like the climate impacts, the costs of this are not included in the price. Fossil fuels have also been linked to significant political and social instability. For instance, the U.S. invaded the Middle East twice in the last 35 years in order to stabilize the oil supply. The Russian invasion of Ukraine is intimately tied to fossil fuels. These costs are also not included in the costs of fossil fuels.

 

If we added these externalized costs to the cost of fossil fuels, the argument increasingly tilts in favor of RE.

 

Summary

In any complex discussion, you need to carefully define the question you’re asking. Much of the discussion around renewable energy focuses on net zero, because that’s what we ultimately need to aim for. We really don’t know how much achieving net zero by 2050 will cost because it will depend to a large extent on future innovation.

 

But a large chunk of the cost of net zero is driven by the last few percent of decarbonization. If you talk about, say, a 90% clean grid, the cost of achieving that using today’s technology is approximately zero. And this cost comparison excludes the external costs of fossil fuels: climate impacts, air pollution, geopolitical instability. Taking all factors of those into account, there’s no question that we can largely decarbonize today and end up with a better economy and cleaner environment.

 

I found this article extremely enlightening.  It put into words something which I had only intuitively understood.  But it highlights how the cheapest RE now might not be the cheapest RE in 2040 (ignoring of course technological advances).  For example, CSP (concentrated solar power) is more expensive than solar panels.  However, it can produce dispatchable electricity, which means it will be very valuable for that last 10% of electricity supply.  Another example:  SMRs (small modular reactors) are prolly 3 or 4 times as expensive as solar, now.  But to convert solar into dispatchable power would require at least 12 hours of storage.  That's still very expensive, though no doubt battery costs will continue to decline.  But so might the costs of SMRs.  Again, for that last 10%, SMRs might be the answer.    Yet another example: power-to-gas.  Using green methane (produced using green electricity to make hydrogen by electrolysis, which is then converted into methane by the Sabatier process) to run peaking gas plants will be expensive, but again, makes sense for the last 10%.

We may have an answer sooner than we thought.   The state of South Australia has been steadily increasing the percentage of renewables in its grid for 17 years.  So far this year, it has averaged 75%.  It could reach 100% within 5 years.  Now, this isn't a perfect test for how high renewables can go, because SA (unlike, say, ERCOT) has high-voltage links with other grids, so it can buy or sell power to the other states.  Nevertheless, we will get a clear idea of the issues quite soon.  

Uncharted territory: a record hot March

From the BBC

Climate change could move "into uncharted territory" if temperatures don't fall by the end of the year, a leading scientist has told the BBC.

The warning came as data showed last month was the world's warmest March on record, extending the run of monthly temperature records to 10 in a row.

It's fuelled concerns among some that the world could be tipping into a new phase of even faster climate change.

A weather system called El Niño is behind some of the recent heat.

Temperatures should temporarily come down after El Niño peters out in coming months, but some scientists are worried they might not.

"By the end of the summer, if we're still looking at record breaking temperatures in the North Atlantic or elsewhere, then we really have kind of moved into uncharted territory," Gavin Schmidt, the director of Nasa's Goddard Institute for Space Studies, told BBC News.

March 2024 was 1.68C warmer than "pre-industrial" times - before humans started burning large amounts of fossil fuels - according to the EU's Copernicus Climate Change Service.

For now, longer term warming trends are still pretty much consistent with expectations, and most researchers don't yet believe that the climate has entered a new phase.

But scientists are struggling to explain exactly why the end of 2023 was so warm.

The March record was expected. El Niño, which began last June and peaked in December, has been adding heat to the warmth put into the atmosphere by the burning of fossil fuels, the main driver of high temperatures.

But temperatures began breaking records by a particularly large margin around last September, and back then, El Niño was still developing, so can't explain all of the extra warmth.

Dr Schmidt is concerned about what this means for predictions going forward.

"Our predictions failed quite dramatically for the specifics of 2023, and if previous statistics don't work, then it becomes much harder to say what's going to happen in the future," he said.

"We're still trying to understand why the situation changed so dramatically in the middle of last year, and how long this situation will continue, whether it is a phase shift or whether it's a blip in long-term climate trends," agrees Dr Samantha Burgess from Copernicus.

The current El Niño is now waning, and will likely end in the next couple of months.

While scientists aren't sure exactly how conditions in the Pacific will evolve, current predictions suggest it could be replaced by a full La Niña cool phase later this year.

That cooling of the sea surface would normally see a temporary drop in global air temperatures, but it remains to be seen exactly how this will evolve.

"We're definitely seeing a weakening of El Niño, but the question is, where will we end up?" says Michelle L'Heureux, a scientist with the NOAA climate prediction centre.

But scientists are certain about one thing: the way to stop the world warming is to rapidly cut emissions of planet-warming gases.

"We have this window in the coming years to try and mitigate the impacts of climate change, by cutting emissions," says Dr Angélique Melet from Mercator Ocean International.

"I do understand the challenges but it's also true that if we don't act, we are committing ourselves towards a future where 2023 will be the new normal."

"How fast will that happen? It depends on us."




Monday, April 8, 2024

Is global heating accelerating?

 From Just Have a Think






See also:   

Tesla Robotaxis. I was wrong.



I've been doubtful that Tesla (or anybody) would ever make an AI which would be able to safely drive a car. Well, I'm eating my words.

From The Driven.

After more than a decade of development on its revolutionary vision based autonomous driving software, Tesla will finally reveal its much anticipated Robotaxi on August 8, 2024.
The Robotaxi unveil will mark the convergence of Tesla’s latest Full Self Driving software and revolutionary 3rd generation vehicle manufacturing and usher in a new era of “Transport as a Service” (TAAS) with massive ramifications for the 70 million unit per annum global fossil car industry.

The announcement comes as the online Tesla community is abuzz with Full Self Driving (FSD) Beta software testers raving about the latest FSD version 12.3.3 update, with drivers reporting zero interventions during long drives in complex city traffic.

Former Tesla employee and YouTuber Farzad Mesbahi discussed the latest software update with James Douma, who’s one of tens of thousands of Tesla drivers in the US who’ve been testing the Beta software over the past two years.

“It’s a pretty remarkable departure in behaviour from V11,” said Douma. “It just works, you just don’t have interventions anymore.”

Douma, who’s been testing the latest update for the last two weeks, says he’s completed hours of city driving without manually overriding the software.

“The first thing I did was spend 3 hours driving all over the part of LA I live in, just random pin drops.” said Douma.

“And I didn’t have any interventions, it was rock solid.”

Another FSD tester and online Tesla blogger Omar Qazi, AKA @WholeMarsBlog, has also been testing FSD beta and has posted some stunning videos of version 12.3.3 in action around San Francisco. 

 





Unlike other companies who’ve attempted to use LiDAR to solve autonomous driving, Tesla’s strategy from the beginning was to use a vision-based system of camera’s and artificial intelligence.

The theory being that humans naturally use vision to drive and navigate the world so why shouldn’t machines? Our road networks are all designed for vision with lines and signs which can be easy read by cameras and AI.

The software is so advanced that it can differentiate between sedans, utes, trucks and buses as well as motorbikes, scooters and bicycles. It can accurately identify pedestrians, traffic cones, wheelie bins and even dogs and place them in 3D space with astonishing precision.

Unlike the purely object based LiDAR system, the cameras can also identify and read traffic signage such as stop signs, traffic lights, speed limits, road works and even the arrows and symbols painted onto road surfaces. For an in-depth look of Tesla’s FSD software development see The Rise of the Machines: Tesla drives 50km autonomously through heavy LA traffic.

Unlike other companies who’ve attempted to use LiDAR to solve autonomous driving, Tesla’s strategy from the beginning was to use a vision-based system of camera’s and artificial intelligence.

The theory being that humans naturally use vision to drive and navigate the world so why shouldn’t machines? Our road networks are all designed for vision with lines and signs which can be easy read by cameras and AI.

The software is so advanced that it can differentiate between sedans, utes, trucks and buses as well as motorbikes, scooters and bicycles. It can accurately identify pedestrians, traffic cones, wheelie bins and even dogs and place them in 3D space with astonishing precision.

Unlike the purely object based LiDAR system, the cameras can also identify and read traffic signage such as stop signs, traffic lights, speed limits, road works and even the arrows and symbols painted onto road surfaces. For an in-depth look of Tesla’s FSD software development see The Rise of the Machines: Tesla drives 50km autonomously through heavy LA traffic.

If Tesla delivers on its August 8th commitment to showcase the self-driving Tesla Robotaxi, it will mark yet another correct prediction made by technology futurist Tony Seba.

Seba, who was interviewed on The Driven podcast last year, predicted in his 2014 book Clean Disruption that lithium-ion batteries would reach $50/kWh by 2027.

That was a forecast that many people said was crazy. However, it now seems Seba’s prediction was too conservative as Chinese battery maker (and Tesla supplier) CATL is likely to reach the milestone by mid-2024.

Despite being considered one of the boldest technology forecasters in the world, Seba has also underestimated the speed of development of battery longevity. In 2017 he predicted the first million-mile battery by 2030 however last week CATL announced a new EV battery with a 1.5 million km warranty, effectively beating Seba’s prediction by 5 years.

On autonomous vehicles Seba had some fascinating insights which he shared during his interview with The Driven.

“The day that we get level four, autonomous technology ready and approved by regulators, when that converges with on-demand, and electric transportation we will get what we call transportation as a service [TAAS].” Seba told The Driven.

“Some call it Robotaxi. Essentially, when that happens the cost per mile of transportation is going to drop by anywhere from 10 to 20 times.”

“So for most people who can barely pay their bills, it won’t make any sense to own a car,” said Seba.

“Do I spend $50,000 over the next five years to own a car? Or do I pay $100 a month for a subscription to transportation as a service?”

Seba says ICE vehicles get around 140,000 miles (225,000 km) over their lifetime. An EV with a 1.5 million km battery will get almost 7 times that amount. This means that EVs will last at least 6-7 times longer than ICE vehicles meaning the global car market will likely drop by over 75% because people won’t need to replace cars as often.

“People are going to be buying vehicles a lot less often. So with that, essentially cut the global vehicle market by a factor of four or five.”

TAAS combined with the million-mile battery will mean new vehicle sales will drop even further as people opt for super cheap electric robotaxi transport instead of spending tens of thousands on private vehicles.

“Either way, it’s pretty much over for internal combustion engine.” says Seba.

I doubt that robotaxis will be the money-spinner Musk says.  If they become that profitable, everyone will buy a Model 3 to make money, and the charges they will be able to levy will go down.  (BTW, I don't think Tesla will be allowed to run a robotaxi monopoly --- but that doesn't mean they won't be able to charge a lot for FSD)  But that only implies that TaaS will take off.  Seba is right.  Why pay a fortune for a car which sits in your driveway or at in a car park for most of its life?  Taxis are expensive because they have to have a human driver and because they're ICEVs.  Robotaxis will be cheap.

Anyway, now I'm convinced.   I was wrong.