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A customer refuels at a Safeway gas station in Hercules, California, US, on Tuesday, May 23, 2023.

David Paul Morris | Bloomberg | Getty Images

Oil prices fell Monday as the Federal Reserve moves carefully on interest rates cuts, and the U.S. pushes for an extended pause in the Israel-Hamas War.

The West Texas Intermediate contract for March dropped 77 cents, or 0.96%, to trade at $71.63 a barrel Monday morning. The Brent contract for April was down 51 cents, or 0.66%, to trade at $76.79 a barrel.

Federal Reserve Chairman Jerome Powell said in an interview Sunday the central bank is unlikely to slash rates in March. Powell’s comments came after a much stronger jobs report than expected Friday, with the labor market adding 353,000 jobs compared to 185,000 expected.

“With the economy strong like that, we feel like we can approach the question of when to begin to reduce interest rates carefully,” Powell told CBS’ “60 Minutes.” Lower interest rates typically boost economic growth which would imply stronger crude oil demand.

The dollar rose to its highest level in more than two months Monday as investors reduce their expectations for rate cuts. A stronger greenback makes crude oil, which is priced in dollars, more expensive for holders of other currencies which can weigh on demand.

“Oil prices are falling after a reversal in the odds for rate cuts that overshadowed geopolitical risk factors that seem to be boiling over,” Phil Flynn, an analyst with the Price Futures Group, wrote in a Monday note.  

Oil Prices Today

Oil traders are also closely watching whether the U.S. can successfully secure a truce in Gaza that would promise to ease escalating tensions in the Middle East.

U.S. Secretary of State Antony Blinken is heading to the region to push for an extended humanitarian pause in the fighting in exchange for the release of hostages held by Hamas. Blinken will visit Saudi Arabia, Egypt, Qatar, Israel and the West Bank this week.

The war in Gaza has pushed the U.S. and Iran to the brink of a direct confrontation, one which analysts have warned could impact crude supplies if there is a disruption in the Strait of Hormuz.

The U.S. launched retaliatory airstrikes Friday against Iran’s Islamic Revolutionary Guard Corps and allied militias in Iraq and Syria. The airstrikes, which hit more than 85 targets, came in response to the deaths of three U.S. troops in a drone strike by Iran-allied militants.

The U.S and the U.K. also launched renewed strikes Saturday against Houthi militants in Yemen. The Houthis, who are allied with Iran, have repeatedly targeted commercial shipping in the Red Sea.

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn’t like spies

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn't like spies

On this episode of Quick Charge, Hyundai continues to invest in new electric vehicles, this time teasing a $25,000 (ish) compact EV set to debut later this month, along with a new IONIQ model. On the domestic front, Tesla sales are cratering so hard that they’re making everyone else’s great numbers look bad, Ford is leveling up its self driving software, and China thinks the Europeans are spying on them.

We’ve got everything from controversial Masts (what do you call “tweets” on Mastodon?), wild claims from Chinese and European carmakers, and even a callback to a classic episode of John Boy and Billy radio – let us know what you think!

Prefer listening to your podcasts? Audio-only versions of Quick Charge are now available on Apple PodcastsSpotifyTuneIn, and our RSS feed for Overcast and other podcast players.

New episodes of Quick Charge are recorded Monday through Thursday (that’s the plan, anyway). We’ll be posting bonus audio content there as well, so be sure to follow and subscribe so you don’t miss a minute of Electrek’s high-voltage daily news!

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Drop us a line at tips@electrek.co. You can also rate us on Apple Podcasts and Spotify, or recommend us in Overcast to help more people discover the show!

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Arizona’s largest battery storage project clinches $513M in financing

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Arizona's largest battery storage project clinches 3M in financing

Recurrent Energy has secured $513 million in financing for Arizona’s largest standalone battery storage project.

Solar and battery storage developer, owner, and operator Recurrent Energy, a subsidiary of Canadian Solar (Nasdaq: CSIQ), secured financing for its Papago Storage project in Maricopa County, Arizona.

The financing includes a $249 million construction and term loan, a $163 million tax equity bridge loan, and a $101 million letter of credit facility.

Construction of the 1,200 MWh Papago Storage is expected to start in Q3 2024 and come online in Q2 2025. The project holds a 20-year tolling agreement with electric utility Arizona Public Service Company and is expected to create 200 construction jobs. 

Recurrent will own and operate Papago Storage once it’s complete. The project will dispatch enough power for around 244,000 homes for four hours a day in support of renewable energy.

Ismael Guerrero, CEO of Recurrent Energy, said, “When we began developing Papago Storage in 2016, the Arizona storage market was in its infancy. Today, Arizona is one of the fastest-growing markets for energy storage in the United States, bolstered by the state’s expanding economy and cost-effective renewable energy resources.

“Today, we are thrilled to see nearly a decade of planning culminate in financing what will be the largest energy storage project in Arizona. We appreciate the continued support from our partners Nord/LB and MUFG in our shared mission to advance the clean energy transition.”

Read more: Oxford sets a new world record for solar panel efficiency


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Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, record AI chip

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Elon Musk claims Tesla's new AI supercluster will grow to over 500 MW, record AI chip

Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, making it one of, if not the biggest in the world. At the same time, the CEO claims Tesla is achieving some record-breaking performance with its next-en AI chip.

A few months ago, we reported that Tesla was having issues building a new expansion at Gigafactory Texas to house a new giant supercomputer to train Tesla’s AI.

At the time, we heard that Tesla was aiming for a 100 MW cluster to be ready by August. Musk canceled other projects at Tesla to focus construction resources on the expansion.

Commenting on drone videos of the expansion, Musk said that it will grow to over 500 MW over the next 18 months:

Sizing for ~130MW of power & cooling this year, but will increase to >500MW over next 18 months or so. Aiming for about half Tesla AI hardware, half Nvidia/other. Play to win or don’t play at all.

We previously noted that it was strange that Tesla was internally referring to the project as a Dojo project, which refers to Tesla’s own supercomputing hardware, but sources were also told that the cluster would use Nvidia compute power.

Now, Musk confirmed that Tesla plans to use both its own hardware and Nvidia’s, as well as other suppliers.

However, things are getting a little unclear as Musk seems to also imply that Tesla will use some of its HW4 computers for the training clusters:

HW4 generally refers to Tesla’s in-car computer with an in-house designed chip, while Dojo is used for training, like this new cluster.

It’s unclear here if Musk is talking about using inference computing for training or just talking about Tesla’s overall planned computing power.

Electrek’s Take

Elon had mentioned at Tesla’s shareholders meeting that the company now had Nvidia-level AI chips, but the stock didn’t even move from that announcement as Nvidia became the most valuable company in the world.

I think Tesla’s AI effort is still not super credible for the market. That happens when you claim that you are about to achieve self-driving by the end of the year every year for the past 5 years.

At this point, we need to see Tesla make significant improvements to FSD with each new update. It sounded like this new cluster would help achieve that but Elon also recently said that Tesla was not compute-constrained for training right now, so it’s hard to really understand what is holding up improvements at this point.

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