Skip to Content

Warming Planet? Engineer Plants to Reflect Light Back into Space

Announcing this year’s so-crazy-it-might-work award from the ARPA-E Summit.
March 1, 2013

Every year at the annual Advanced Research Projects Agency for Energy Summit (which took place this week) you can count on there being at least one left-field idea that just might work—or might go horribly wrong.

Here’s my nominee for this year’s so-crazy-it-might-work award.  On the first day of the conference, Robert Conrado, a senior fellow at ARPA-E, took the stage to describe his idea for addressing a big problem with agriculture and biofuels: plants use a huge amount of water just to stay cool. Only 1 percent of water they take up goes to making the carbohydrates and other materials that make up the plant. The rest, Conrado says, is for temperature regulation. Worldwide, 90 percent of water use goes to watering plants, which of course limits food production. It also limits where biofuel crops can be grown.

The solution Conrado proposed has to do with the fact that plants can use only a narrow part of the solar spectrum to conduct photosynthesis. They can’t use infrared and ultraviolet light, which just go to heating the plant up, forcing it to suck up water to cool off.

Conrado put up a slide showing a peacock, a butterfly, and a strangely colored berry. These all grow microscopic structures that are tuned to interact with specific colors of light, producing brilliant coloration.

He asked, why not engineer plants to grow similar structures designed to reflect the light they can’t use? That would reduce the cooling needs of the plants. Reflecting infrared light would reduce water consumption by one-third and would make it possible to grow plants for biofuels in currently water-constrained areas. Some of the light would reflect back into space, he suggested, helping to offset global warming. (Much of the reflected light would be absorbed by water vapor in the atmosphere, however.)

What could go wrong?

Seriously—I’m curious about what people think of this idea. What should researchers watch out for if they try to do this? 

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.