A new method boosts wind farms’ energy output, without new equipment
news.mit.edu
news.mit.edu
Often, wind turbines are arranged in a line across the usual wind front, so turbulence isn't typically an issue.
So, in this case, when wind passes over multiple nearby turbines serially, then there is a 1.2% gain on efficiency.
Still a worthwhile deployment if the model is accurate. Needs to be tested.
Unrelatedly, from personal experience both onshore and offshore windfarms seem to be packed much tighter than in a line.
But out west, some (not all) of them are placed along ridgetops in a wide line, with none behind each other.
https://www.google.com/maps/search/wind+farm/@32.3343137,-10...
You can only store so much power for interday variations. Everything beyond that takes fossil fuels.
What if.. what if you can expend energy to "suck in" a nearby storm for instance? I don't know how viable it would be, but at least it doesn't seem to obviously break physical laws.
I’d like to see stored hydro that was a little more environmentally friendly. Perhaps a series of floodgates where one area is mostly dry and another mostly wet, rather than everything being intermittently wet all year.
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x xAnd while you might not be able to decommission a peaker plant, one of the ways power gets around emissions limits is that the pollution is annualized. You can reduce the emissions of a plant by half of you can turn it off part of the year, so where possible they spin up the better plants first. Anything that keeps their next worse plant offline more helps the rest of us.
E.g. the first random example of a wind rose plot I googled - https://www.researchgate.net/figure/Wind-rose-plots-of-all-N... - is quite typical, where winds almost all times go one way or the opposite way, and very rarely in the perpendicular direction.
> "In a months-long experiment in a real utility-scale wind farm in India, the predictive model was first validated by testing a wide range of yaw orientation strategies, most of which were intentionally suboptimal. By testing many control strategies, including suboptimal ones, in both the real farm and the model, the researchers could identify the true optimal strategy. Importantly, the model was able to predict the farm power production and the optimal control strategy for most wind conditions tested, giving confidence that the predictions of the model would track the true optimal operational strategy for the farm. This enables the use of the model to design the optimal control strategies for new wind conditions and new wind farms without needing to perform fresh calculations from scratch."
Streetview: https://www.google.com/maps/@35.0385954,-118.2567896,3a,75y,...
One example, but it's easy to find more... https://www.google.com/maps/@35.0727844,-118.2627452,139m/da...
Are they really so fragile? It looks like maybe 2-3% of them have fallen apart.
- I think they are fiberglass
- IIRC they actually need to be locked beyond some safe maximum windspeed because the forces they're under are indeed sufficient to tear them apart. I guess if local conditions can change faster than they can be locked (or if the locking systems can fail?) with any frequency, then such damage might be common.
- I do also wonder if something like a bird impact is common, and whether it's enough force to crack the fiberglass (or whether reverberations of the impact on an active turbine would cause trouble)?
I assume that this could also increase the speed of a cooperative convoy of sailboats, that have a good reason to stay close. I wonder if the fleets of sailing ships of Admiral Nelson's time took advantage of this. A few extra ergs of force in a sea chase could make a large difference.
Local control, and no need for a global coordinator, might be so much simpler as to be worth losing some efficiency / not going into integration hell.
The utility might own wind turbines from different manufactures, but they are not in the same wind farm. I suppose there might be places where two wind farms border each other that you want different devices, but for the most part you can optimize each wind farm individually with no need to worry about manufactures.
Farms can have different makes and models. I also think that there is a lot of on board control.
Shipping is also rather expensive, so your are probably going with the nearest factory for everything. (each blade needs a semi with an oversize load permit, and "chase cars" both in front and behind with the right lights and signs)
Of course if a turbine fails in 5 years (I don't know what the warranty is, so I'm going to use 5 years) they might replace it with one from someone else, but that isn't common.
I don't know how much is onboard controls. However someone is feeding the weather instructions in, and when demand is low someone is telling a few to shut down. They also do remote monitoring for issues that maintenance needs to fix. That connection just needs an upgrade, along with some new software for the onboard controls and it can be done offboard. (this may not be easy, but compared to a turbine it is cheap)
At the extreme, I am familiar with farms that have been expanded over 25 years and have a huge variety of builds.
I am also aware of a number of farms that have at least 2 different sized turbines.
I'm reasonably sure that all wind turbines in my area come from Siemans. (they have a factory in my state, any other make would be shipped in from a considerable distance)
local maximizing presumably already deals with the effects from upstream turbines, global (also presumably) only adds consideration for downstream turbines
The real difficulty lies in:
1) Noise in the on-turbine wind speed and direction measurements and/or robustly (see point #2) operating LIDAR or met masts in front of the farm to try to avoid said measurement noise.
2) Actually arriving at a robust, operational in real-world conditions, fully closed-loop control system. A commercial wind farm has to operate 24/7 for 25 years without a bunch of engineers and scientists babysitting it, which is what is likely to end up happening if the cool control system relies on offline simulation results, topographical data, and/or human-supervised calibration & tuning.
It's not all doom and gloom: Ongoing improvements in sensor price/quality will probably make these kind of global control systems more and more practically feasible in the future.
1. You need to recognize the opportunities exist in the first place.
2. You need a global controller that can aggregate and optimize for a global solution (and the global solution might not necessarily simply to maximize the aggregate throughput, but there might be other factors into account), which may involve some algorithmic design (in some cases, you need to design new algorithms).
3. You need to justify that global controller gives you a superior solution compared to locally greedy solution. As in this article, a global solution gives you about 3% improvement compared to the local controller, and the local controller algorithm is substantially easier to write.
Background: in my previous job at Meta, I wrote such a global control algorithm for controlling the rate of data going in and out each data center. It involved some really interesting algorithmic design.
Even if you have a perfect implementation of this, and you don't need to deploy new networks, etc, and you put in a lot of NRE to make this easy deploy... how much engineering effort is still needed to start squeezing 1-2% out of a wind farm?
Would they not be more efficient if they were shaped like an actual turbine with a deep spiraling blade, placed inside a cylindrical or conical encasing?
However, there is no rule in physics that you can't 10x the windspeed with a focused inlet.
Natural mountain ranges around some farms have a similar effect to improve power output, but we would never consider building a natural mountain to improve turbine efficiency
Maybe we could? Mining operations already produce huge volume of material from tailings and overburden. Not an outrageous idea to be more strategic in how and where that material is placed. Could create some artificial ranges with better wind properties.
I’m sure the cost of a casing plays into it, but its primarily about the energy efficiency of different blade shapes in different hydraulic conditions.
For mechanical engineering reasons, mostly to do with evening out the load at the point of blade attachment, the industry has mostly converged on three.
This is also linked to tip speed ratio: http://www.reuk.co.uk/wordpress/wind/wind-turbine-tip-speed-... ; the tip speed is usually several times faster than the wind speed.
Remember that the blades are aerofoils, effectively wings. They don't need to touch all the air in their swept area, their effect is given by redirecting the flow of the whole stream of air.
Casings are only useful for small turbines operating at high pressures, where the energy lost to spilling over the tip of the blade would be high.
In Betz's own derivation, the ideal rotor is an "actuator disk", having an infinite number of blades, which have no drag.
Generally speaking, the power a wind turbine can generated is proportional to the entire swept area. So, other things being equal, it is better to go for longer blades to increase the area, rather than trying to "capture all the wind" in a smaller cross-sectional area.
So the most efficient use of your wind turbine's mass (which is proportional to cost) is to make it as big as feasible.
I'm curious how it will play out in practice when they start using it on large offshore installations for instance.
MIT just has a more effective marketing division, it seems. Here's the Caltech press release for comparison.
https://www.caltech.edu/about/news/tweaking-turbine-angles-s...
> "Collectively, wind farms generate about 380 billion kilowatt-hours each year in the United States. If every U.S. wind farm were to adopt the new strategy and see efficiency increases similar to those found in the new study, it would be equivalent to adding hundreds of new turbines capable of powering hundreds of thousands of homes to the nation's power grid, says Caltech's John O. Dabiri (MS '03, PhD '05), the Centennial Professor of Aeronautics and Mechanical Engineering, and senior author of a paper on the project that was published by the journal Nature Energy on August 11."
Source: https://www.insidehighered.com/news/2022/02/18/college-endow...
Imagine the technical and infrastructure improvements. We would leap ahead by every metric.
I refuse to believe this, every wind engineer would know one windmill affects the next.
Its not as clear as the picture either where they are lined up. In most locations wind changes direction so for some flows they'll interact different to others.
A few years ago I was talking with a family member who is in wind power research. They were trying to convince me to start writing turbine control software because it is massively inefficient and naive.
I was shocked at some of the optimizations they are lacking.
It has been standard practice in most industries to co-opt any improvement into increasing the company’s stickiness.
It would be a shame if it did.
The research was definitely worth pursing. A 1.2% overall efficiency gain is not nothing, and is indeed significant enough that I think people will want to implement it.
On the other hand, without doing some extensive research, it wasn't clear what the magnitude of the improvement actually was.