First Solar: Quest for the $1 Watt

Within five years, this company’s thin-film solar cells could compete with coal

11 min read
photo of photovoltaic cell panels
Photo: Gehrlicher Solar

It’s easy to make a small pile of money off photovoltaic cells but very hard to make a big one. The reason is one of the most fundamental in free-market economics: the larger the market you aim for, the more competitors you’ll have to face.

If you just want to power a billion-dollar space probe, almost any price per watt is acceptable. If you are selling to lonely farmhouses, you just have to charge less than the cost of running a power line to the boondocks. In some parts of the world, competing with grid electricity itself may be an easy game during peak consumption hours. But if you want the off-peak market, you’ll have to price your cells at about US $1 per watt. That price is called grid parity, and it’s the holy grail of the photovoltaic industry. At least 80 firms around the world, from Austin to Osaka, are in the chase.

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Fast-Charging EV Batteries With Nickel Foil

New tech enables standard EV batteries to charge to 70 percent capacity in 11 minutes

3 min read
A grey box labeled EC Power with a minus and plus sticker on the side and equipment on top.

This 10-min fast-charging battery was developed for electric cars, with the black box on the top containing a battery management system to control the module.

EC Power

Standard electric-vehicle batteries can recharge much of their range in just 10 minutes by including a thin sheet of nickel inside them, a new study finds. This could provide a welcome and economically attractive alternative to expensive EVs that carry massive and massively expensive battery packs.

If faster-charging options were available, enabling the EV's sticker price to drop substantially, some researchers suspect consumers’ EV phobia and industry dogma against “range anxiety“ could be overcome.

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Machine Learning’s New Math

New number formats and basic computations emerge to speed up AI training

8 min read
A bunch of 3D numbers at different heights.
iStock Photo

Recent developments in AI have been astounding, but so are the costs of training neural networks to do their astounding feats. The biggest, such as the language model GPT-3 and the art generator DALL-E 2, take several months to train on a cluster of high-performance GPUs, costing millions of dollars and taking up millions of billions of billions of basic computations.

The training capabilities of processing units have been growing rapidly, as much as doubling in the last year. To keep the trend going, researchers are digging down into the most basic building blocks of computation, the way computers represent numbers.

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MathWorks

In this webinar, MathWorks will discuss how to align modeling and simulation techniques with different stages in the technology development cycle for renewable energy systems. Through worked examples of both solar power and wind power systems, we will consider early-stage design - where the primary focus is on aspects such as system architecture, longer-term power production, and trade-studies, through to more detailed design - where the primary focus is on specific technology characteristics, energy management, and control. These considerations support design exploration and design rigor, meaning you can navigate the technology development cycle rapidly and with confidence.

Speakers:

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