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Data insight helps renewables weather the market

Whether the weather is sunny or whether the weather is windy, the conversation in making renewable energy a cost-effective part of the grid has turned to the optimization of existing assets—a subject near and dear to the manufacturing and processing industries.

A more connected, dynamic and adaptable wind energy system helps optimize both the production of wind turbines and the operation of them after installation. Source: GE
A more connected, dynamic and adaptable wind energy system helps optimize both the production of wind turbines and the operation of them after installation. Source: GE

Renewable energy industries like wind and solar have seen their ups and downs over the years with market changes driven by a number of factors—government support and the current price of fossil fuels not least among them. Despite concerns about grid compatibility and energy storage, renewables seem to have come into their own, competing head-on with traditional sources.

This is good news for renewables. But if they are going to continue to make gains in the energy market, it won’t be because of any ideals about protecting our planet. It will be because they are the most cost-effective technologies available to provide our energy needs.

Automation has a critical role to play in not only bringing down the cost of the initial production of solar panels and wind turbines, but also helping the established infrastructures get the most energy possible out of existing assets—increasing reliability and uptime, and optimizing the production and delivery of the energy those assets produce.

“The cheapest way for them to get a better bang on their buck is to get a better return on what they’ve already invested,” says Dan Sylawa, business development manager for renewable energy at Phoenix Contact.

That conversation has changed a bit in recent years, Sylawa notes. “There’s a realization in industry that it’s not just a solar array or wind farm. It’s a power generating plant, and it’s got to run for 20 years,” he says. “It’s all about optimizing asset performance—even more so now because the industry recognizes it. We now have critical mass of wind and solar generation.”

Optimizing existing assets

The efficiency of existing assets is always the most critical element in renewables, agrees Rich Carpenter, general manager of control platforms at GE Power. “Renewable energy is, in theory, free. And there’s a fixed cost to get the infrastructure in place. So the efficiency to get the electricity matters,” he says. “Controls play a very significant role in getting efficiency out of the equipment.”

In the case of solar, that control could be relatively simple. If it’s sunny today and sunny tomorrow, but the output is less tomorrow than it was today, then you’ve got to understand what’s causing the discrepancy. “Maybe there was a bird on the solar panels and something got disconnected,” Carpenter says. “The faster you can figure out why you’re getting less output, the faster you can fix it.”

Wind energy is not as consistent, requiring more control to optimize efficiency. “On a wind farm, all elements are not getting the same wind in the same way,” Carpenter says, noting that the front windmills could affect the wind that the back windmills are getting, for example. “Controls are focused on getting the pitch and orientation of blades to catch the wind. At the farm level, how do the front units tell the rear units what’s happening so they know what to expect?”

GE’s digital wind farm creates a more connected, dynamic and adaptable wind energy system—optimizing both the production of the turbines and the operation of them after installation. In production, GE uses a digital twin modeling system to build up to 20 different turbine configurations at every unique pad location across a wind farm to generate power at peak efficiency based on the surrounding environment. The digital twin also analyzes turbine operations in real time and makes adjustments to boost operating efficiencies.

On the wind farm, connected sensors on the turbines gather data that is analyzed in real time with GE’s Predix software, which allows operators to monitor performance from data across turbines, farms or entire fleets. The data provides information on temperature, turbine misalignments or vibrations that can affect performance.

Though most people might think clouds are no friend to solar energy—particularly when they block the sun’s rays and keep a panel from producing electricity—Honeywell is a big proponent of the cloud for solar.

Getting visibility into existing assets is easier with cloud computing, for one, says Honeywell’s Bob Ell. And for a solar business just getting set up, taking advantage of cloud technologies can provide better techniques for building and configuring the system. “They have modern technology and infrastructure managed by Honeywell,” he says. “They don’t have to worry about upgrades or software, and can use standard telecommunications and cybersecurity techniques.”

A big challenge that control faces right now is the growing size of wind turbines. “The units are getting bigger and taller, the blades are longer, which puts a lot of stress on the blades, but they can produce a lot of power,” Carpenter says. That’s a model-based control problem requiring a lot of complex math. “The better you can react, the more you can optimize the power while reducing the risk of damaging the unit itself.”

What those increasingly complicated algorithms call for is more processing power at the edge, Carpenter says, using multicore processors for control. While standard control is done deterministically in one core, the models run in a non-deterministic controller on another. Acting as a digital twin, it can pass commands over to the deterministic side to optimize the way the turbine is run. “Large models need a lot of horsepower to run,” Carpenter adds. “We’re putting a lot more horsepower at the edge to run that.”

Improving asset uptime

Without even getting into optimizing performance, downtime alone is costing renewable energies dearly. In the United States, wind energy grew almost 20 percent in 2016—with more than 52,000 wind turbines producing 226 TWh of energy, according to the Energy Information Agency (EIA). But according to a recent report from Uptake, a predictive analytics startup, there is some 12 TWh of untapped energy caused by downtime in the current U.S. wind fleet. Even a 1 percent increase of availability would result in about 2.4 TWh additional energy annually, which is enough clean energy to power 222,000 homes for a year.

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Back to Basics: Understanding Conveyors for Food Processing