Russian speed-cuber Evgeny Bondarenko decided to tackle the biggest challenge on the market today: solving the 17x17x17 Rubik's Cube. Talk about concentration! Read the rest

There are existing solutions to our the energy crises facing us today, but they all suffer from being frustratingly imperfect, complicated, and not particularly easy to implement (at least not quickly). Some even require us to change our behaviors. And, most likely, we'd have have to use lots of these solutions all at once, further adding to the complication involved. It's no wonder then that, in our heart of hearts, most of us are holding out for a miracle — some new technology that could provide all the power we want, with few drawbacks, and few changes to our current infrastructure or social status-quo. But is that a good idea, or a waste of time and resources? In the first edition of a new monthly column for The New York Times, Justin Gillis writes about the allure of energy miracles, what they actually look like in reality, and whether there's really a dichotomy between using what we have and developing something better. Read the rest

It began with a few small mistakes.

Around 12:15, on the afternoon of August 14, 2003, a software program that helps monitor how well the electric grid is working in the American Midwest shut itself down after after it started getting incorrect input data. The problem was quickly fixed. But nobody turned the program back on again.

A little over an hour later, one of the six coal-fired generators at the Eastlake Power Plant in Ohio shut down. An hour after that, the alarm and monitoring system in the control room of one of the nation’s largest electric conglomerates failed. It, too, was left turned off.

Those three unrelated things—two faulty monitoring programs and one generator outage—weren’t catastrophic, in and of themselves. But they would eventually help create one of the most widespread blackouts in history. By 4:15 pm, 256 power plants were offline and 55 million people in eight states and Canada were in the dark. The Northeast Blackout of 2003 ended up costing us between $4 billion and $10 billion. That’s “billion”, with a “B”.

But this is about more than mere bad luck. The real causes of the 2003 blackout were fixable problems, and the good news is that, since then, we’ve made great strides in fixing them. The bad news, say some grid experts, is that we’re still not doing a great job of preparing our electric infrastructure for the future. Read the rest

So, say you're an Icelandic tour company, with access to an extinct volcano (or, at least, a volcano that hasn't erupted in 4,000 years). And say you want to offer tours inside of said volcano, to tourists who don't have the rappelling experience to get themselves down and up the steep sides of the volcano's crater. How do you do it?

We use a system normally used to carry window cleaners outside of skyscrapers, an open elevator system. A basket that holds 5-6 persons is connected to a crane that has been placed vertically over the crater opening. Massive cable wires move the basket up and down the bottle-shaped vault. The 120 m/400 ft journey takes about 10 minutes to complete.

I really dig this solution!

Inside the Volcano tour, operating in Iceland through August 20.

Via Marilyn Terrell

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Before the Lights Go Out is Maggie's new book about how our current energy systems work, and how we'll have to change them in the future. It comes out April 10th and is available for pre-order now. (E-book pre-orders coming soon!) Over the next couple of months, Maggie will be posting some energy-related stories based on things she learned while researching the book. This is one of them.

Steve_Saus submitterated this video that combines 14 years of weather radar images with a soothing piano concerto. It's a neat thing to watch a couple minutes of (though I'm not sure I needed to sit around for all 33 minutes of the video). It also reminded me of something really interesting that I learned about U.S. weather patterns and alternative energy.

Weather data, like the kind visualized here, can be collected, analyzed, and turned into algorithms that show us, in increasingly granular detail, what we can expect the weather to do in a specific part of the United States. Today, you can even break this information down to show what happens in one small part of a state compared to another small part. And that's important. As we increase our reliance on sources of energy that are based on weather patterns, this kind of information will become crucial to not only predicting how much power we can expect to get from a given wind farm, but also in deciding where to build that wind farm in the first place.

Take Texas as an example, which has the most installed wind power capacity of any U.S. Read the rest