Thanks, Beth, that's a really neat story. Interesting that the Fibonacci Sequence, which appears so many places in nature like galaxy spirals and the nautilus shell, also governs how trees collect solar energy. I wonder how many other system designs could be improved by applying the math?
It's interesting to see how the solar/photovoltaic industry is evolved both on the macro and micro scale. You have a lot of large companies involved, which makes sense because panel production is expensive and also you need economies of scale. Further, you have a lot of high-flying startups (qv. Solyndra) -- an arena where we're already seeing a shakeout, I might add. Here, with Lee, I think what we're seeing is another side of the industry, a small-to-mid scale niche where we will see a lot of players, perhaps because the end-user market is far from monolithic.
Love the fact that Lee Bristol got into solar panels as a career change after a long-running stint as an IT consultant. Just goes to prove that with the right enthusiasm and dedication, there are countless possibilities to shift gears mid-career.
Coincidently, I just read something this morning about a solar panel entrepreneur that will likely give Bristol and others in the industry a run for the money--that is, when he finally grows up, graduates college, and makes his mark. This 13-year old came up with a method for arranging solar panels based on the arrangement of tree branches and using a mathematical method called the Fibonacci Sequence. The youth recently won the Young Naturalist award from the American Museum of History in New York. He claims his method is 20% to 50% more efficient than traditional solar arrays, and some scientists say he might be on to something.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.