Thirty-six Clovis, CA families joined together in a group-based purchase of solar power for their homes. By joining together to hire SolarCity, the group saved 20 percent of the cost of converting a single residence. The group will collectively offset 4.3 million lb of carbon over the next 30 years — the equivalent of 4,536 barrels of oil, according to SolarCity. SolarCity has operated 14 of these collective programs in California. “By forming this collective, we’re gaining enough leverage to really lower barrier of entry for solar conversion, making it finally affordable to invest in systems large enough to pay for our electric bills and significantly increase property values,” says Wellman Shew, a Clovis resident who helped lead the program.
A Clovis, CA home that has been converted to solar power.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.