In 2013, solar was the second-largest source of new electricity generating capacity in the U.S., exceeded only by natural gas. A USA SunShot Vision Study suggests solar power could provide as much as 14% of U.S. electricity demand by 2030, and 27% by 2050. Read more here: http://www.rdmag.com/article/2015/07/machine-learning%E2%80%99s-impact-solar-energy
Machine Learnings Impact on Solar Energy
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How convenient that solar is 2nd without mentioning any numbers. Like, solar is so far behind you need a telescope to see it. Instead
just throw around some optimistic predictions for a couple generations in the future. Bruce Roe -
In 2013, solar was the second-largest source of new electricity generating capacity in the U.S., exceeded only by natural gas. A USA SunShot Vision Study suggests solar power could provide as much as 14% of U.S. electricity demand by 2030, and 27% by 2050. Read more here: http://www.rdmag.com/article/2015/07/machine-learning%E2%80%99s-impact-solar-energyComment
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You will still need a power source that is not dependent on the weather and be able to produce 24/7 to fill in the blank or the lights will go out for some.Comment
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While machine learning and big data are real things, be very careful trusting reports of particular advances... especially those from very large marketing-driven organizations like IBM.
I don't think the article is all that exciting. Yeah, better forecasting is nice and important. No, it's not a huge deal. That said, the road forward is paved with lots of small deals; better forecasting will happen, and will help a bit.
Re the drive-by pessimism about solar and nighttime energy: storing energy for nighttime use is expensive and is just starting to be practical in limited areas for limited applications... but some of those are substantial. One PPA for 24 hour power from a pv + thermal solar plant came in at about 12 cents per kwh ( https://en.wikipedia.org/wiki/Copiap..._Solar_Project ).
So it comes down to economics; if you're willing to pay extra for the storage, you can get nighttime solar. (You'd still need fossil fuel backup for cloudy/nonwindy days, of course.) Whether that is worth it is up to your needs.
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While machine learning and big data are real things, be very careful trusting reports of particular advances... especially those from very large marketing-driven organizations like IBM.
I don't think the article is all that exciting. Yeah, better forecasting is nice and important. No, it's not a huge deal. That said, the road forward is paved with lots of small deals; better forecasting will happen, and will help a bit.
Re the drive-by pessimism about solar and nighttime energy: storing energy for nighttime use is expensive and is just starting to be practical in limited areas for limited applications... but some of those are substantial. One PPA for 24 hour power from a pv + thermal solar plant came in at about 12 cents per kwh ( https://en.wikipedia.org/wiki/Copiap..._Solar_Project ).
So it comes down to economics; if you're willing to pay extra for the storage, you can get nighttime solar. (You'd still need fossil fuel backup for cloudy/nonwindy days, of course.) Whether that is worth it is up to your needs.
At least that's what this article mentioned.Comment
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Something that might help with energy storage from RE besides batteries is the decision by SolarReserve to build additional plants similar to the Crescent Dunes solar in NV which heats molten salts to generate power at night through steam driven turbines.
At least that's what this article mentioned.
Coincidentally, I'm heading off to watch LADWP's power IRP outreach presentation tonight; they'll be taking public comments on it for a couple weeks, and I'll put in my two bits for "more stored solar + wind, fewer new natural gas power stations". The city council told LADWP to start planning for 100% renewable energy, seems like locking us in to more fossil fuel use for decades with things like the Intermountain natural gas repowering project is the wrong way to start.Comment
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