Crown Capital Management Forum Better short-time local weathe..
Better short-time local weather prediction = cheaper renewable energy10 Years AgoSource
Big deal if we want to incorporate LOTS of renewables in the grid
There are all kinds of ways to make renewable energy
cheaper. Most people focus on things like more
efficient solar panels, bigger
wind turbines, economies of scale in manufacturing, etc. But because clean
sources of power like wind and solar are intermittent, there's also a lot of
room for improvement in functionally making them more stable, or at least more
predictable.
To understand why that's the case, you need to look at the
power grid as a whole and not just at a wind or solar farm in isolation.
Because wind and solar aren't entirely predictable, grid operators need to have
backup power plants ready to pick up any slack (usually natural gas peaker
plants) quickly. But when these plants run when they are not needed, this
increases costs (and pollution). And sometimes if there's an unexpected surge
of wind and/or solar,
it's possible that the clean energy gets wasted because the grid wasn't ready
to absorb it in a useful way.
Many companies are working on ways to mitigate that,
including IBM:
IBM (NYSE: IBM) today announced an advanced power and
weather modeling technology that will help utilities increase the reliability
of renewable energy resources. The solution combines weather prediction and
analytics to accurately forecast the availability of wind power and solar
energy. This will enable utilities to integrate more renewable energy into the
power grid [...]
The solution, named "Hybrid Renewable Energy
Forecasting" (HyRef) uses weather modeling capabilities, advanced cloud
imaging technology and sky-facing cameras to track cloud movements, while
sensors on the turbines monitor wind speed, temperature and direction. When
combined with analytics technology, the data-assimilation based solution can
produce accurate local weather forecasts within a wind farm as far as one month
in advance, or in 15-minute increments.
"Applying analytics and harnessing big data will allow
utilities to tackle the intermittent nature of renewable energy and forecast
power production from solar and wind, in a way that has never been done
before," said Brad Gammons, General Manager IBM's Global Energy and
Utilities Industry. "We have developed an intelligent system that combines
weather and power forecasting to increase system availability and optimize
power grid performance." |
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