yessql

There are many import properties of battery, which I don't see mentioned. They talk only about energy density and safety.

- What is the Power Density? If it can only charge and discharge slowly, then your Tesla becomes slow and not fun to drive, and you can't fill it up quickly at a supercharger, or maybe even overnight at home.

- What is the longevity of the cell? How fast does it degrade with usage?

- What are the temperature effects on the cell? Will the cell require a new thermal management system to get full capacity, power, and longevity?

- What is the cost?

I basically only see to-do list apps for new frameworks. So therefore frameworks can only make to-do lists.

It's really going to be interesting when EV drivers start getting charged per mile. We'll have to figure out something to make up for the missing gasoline yeah revenues. And it is probably already becoming substantial in California.

I think there is a sweet spot in high enough population density and low enough bureaucracy (or enough local gov cooperation).

Oh, I thought the most important skill in software development would be SCRUM.

This library is really useful, especially in updating sets of nested data.

Good research lab solar cells are 40% when actively cooled and concentrating light at 1000x.

Good solar panels for homes and solar farms are 15 to 22% efficient.

Now your window needs wiring. And an inverter. Would be more effective to coat it or tint it or put up some blinds.

PV energy payback is typically on the order of 1 or 2 years.

Really dumb article. Photovoltaics are breaking through as we speak. 1/3 of new electricity generation capacity in the US was solar in 2014. Building integrated PV is not doing anything, and I suspect it never will, because why??

I am signed up with this, but will probably unsubscribe soon, since it is getting really annoying. Between spam and people who just post unrelated google queries.

The fact that Hibernate Query Language even exists tells you that ORM is a bad idea.

What do you mean it works best when there's less load? Solar works best when the sun is shining, and that is when the demand for electricity is highest (especially in places with air conditioning).

Yeah, this "breakthrough" has the potential to one day to produce electricity at a cost that conventional PV already delivers.

http://www.greentechmedia.com/articles/read/Austin-Energy-Sw...

I would never bet on CSP.

This piece overlooks the fact that utilities can install solar power cheaper than a residence can. This will always be the chase. Electricity will drop in price accordingly.

How about this math 11,000 million dollars per year divided by 115 million households, divided by $70/ month, divided by 12 months per year. That's 11% percent of households to break even?

65% of adults already have broadband at home in the US. So will about 1 in 6 switch to 100x better for marginally more money?

SMA, a big German inverter company, shows the daily amount of PV generated in the country. Today, they hit nearly 18 GW. I'll bet they have at least one 30 GW day this year, once the sun finally comes out.

http://www.sma.de/en/company/pv-electricity-produced-in-germ...

Just model the grid as a battery in your head. Just because the grid is really bad at storing energy now, doesn't meant hat this won't change soon. And that's not Apple's problem.

All the energy that they produce and put on the grid is energy that is not generated by fossil fuels or nuclear. Good enough.

PV is coming down in cost precipitously. Energy companies are buying huge PV farms. Their cost of energy will drop.

Utilities are regulated to limit their rates to guarantee minimum profitability, so their price must be correlated to their cost.

Ergo, electricity costs will drop. Your rooftop PV system is never going to be much cheaper, if ever cheaper at all, than the electricity that the utility will provide from utility scale PV that has been installed much more cheaply, and much more optimized than the arbitrary orientation of your roof.

The world's 4th largest economy was over 40% powered by solar for two days in May this year. I think we can consider the innovation in PV technology a game changer that will impact the way we live greatly.

Imagine a world with 0 fuel costs, just capital costs.

So this is like Frontpage?

I started a little genetic algorithm project that I haven't gotten to work on too much yet, which could make for a cool tutorial. I've got a GA that solves the traveling salesman problem in the Go programming language. It actually solves it in N isolated populations, where you tell it to use N go routines. (Optimally I believe N would be 2x the number of cores your machine has).

Since Go is a systems language, I have it running as a http server that sends back the results to webpage that renders the JSON on a HTML5 Canvas.

What I really wanted to do is experiment with "migrating" solutions from one population to another, to see if I can get any speedup that way. Right now, the isolated populations sort of converge at the same speed, but some do better than others, because they converge to different local minima.

Anyway, if you want to fork it, its here: https://github.com/YesSql/GolangTspGa

The article doesn't focus much on spot pricing, which is really important in what is going to happen in the future. They showed a big drop in utility revenue during peak hours. This revenue used to be caused by high usage multiplied by really high prices. Now its high demand multiplied by moderate prices.

If solar adoption continues along the path described (which is inevitable at this point, considering steadily dropping solar PV equipment prices) then the midday spot price will continue to drop as well.

We'll find out some answers to the question, what do you do when the spot price of electricity approaches 0? Water desalination. Pump water uphill. Charge electric car batteries. Electrolysis to convert water to hydrogen, for later use in fuel cells or combustion engines.

We will certainly see some innovation in short term energy storage, since the price of electricity just before the late afternoon peak will be much lower.

The laminate flooring is nice though. You have to give them that.

Asynchronous logic design tools. Imagine a world free of the hack that is the clock signal. Current processors are all designed at this local optimum, since it would take years to build the tools necessary for processor designers to make self timed logic.

I wish I had read this and thought about it a week ago, before I decided to teach myself golang, which ate up my free time. Is learning an experimental unpopular language going to help me win? Fat chance.

Again, you have this 180 degrees backwards. There was a huge rush to build out polysilicon module fabs in China that has caused a huge oversupply. Now module manufacturers are going out of business daily, leaving an oversupply of polysilicon capacity.

Here, from a few days ago:

http://www.pv-tech.org/news/polysilicon_headwinds_unchanged_...

The price of polysilicon, the stuff that a large portion of commercially available solar panels use, is NOT increasing. In fact, just the opposite has happened. If you want to know why Solyndra really failed so dramatically, you need to understand what this chart means to the solar industry:

http://etfdailynews.com/2012/03/27/solar-energy-industry-bey...

Prices of polysilicon are forecasted to drop over the long term. That means any technology that wants to compete in solar cells had better be really, really cheap. First Solar can produce modules at around $.70/Watt. Many Si module manufacturers are producing at sub $.90/Watt. Given that Si modules that have been in place for decades and still function, any other materials are a risk for a 25+ year investment.

(I also graduated as an EE, but I also work in PV test and measurement, so I work with this stuff everyday, and my paycheck depends on it.)

It's mind boggling that a programming language from Google would be given a completely unsearchable moniker.

I am also getting going with Go. I'm writing a multi-threaded (i.e. multi-goroutine) genetic algorithm to solve the Traveling Salesman Problem. Since Go is meant for severs, its a webapp that renders the output in HTML5 Canvas. Just getting started, so the code is badly organized, but it works: https://github.com/YesSql/GolangTspGa

Go is really fun to work with, although the compiler messages are still a bit cryptic. Also its intolerance of things that are normally warnings (like unused variables) is really aggressive, which is kind of painful while you are learning, but I suppose will lead to cleaner code in the future.