Michael Johansen of Anemo Analytics joined us to talk about his company's work analyzing and optimizing wind turbine power curves. He shared insight into how data analytics can be used to drastically shorten the time and manpower needed to make major improvements to a wind turbine's output.

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Transcript: EP41 Michael Johansen of Anemo Analytics

welcome back to the uptime podcast. Uh, we have a really great guest today. Michael Johansen from Anemo Analytics is going to be joining us. And Allen, what were some of your takeaways from our call with Mr. Johansen? Well, Michael has, uh, a series of really great innovations that technology on monitoring of wind turbines, and then using that data to do some predictive analysis and also, uh, Determine where when terms are not operating at their peak efficiency, uh, which is, uh, a very unique set of skills that, uh, in today's world is really becoming more and more valuable.As we try to drive the efficiency of wind turbines towards the optimum. It's going to take the, the knowledge base that, that Michael has in his company has to push everybody forward. So this is a really. Fascinating technical and sort of business-related, uh, discussion. Yeah. To hear him talk about going from a long time, Siemens, uh, employee, uh, and finally, you know, taking that leap of faith and going out on his own and starting his own company.And now how he works alongside some of these really big companies in a very complimentary way, which is, which is interesting because as you and I have discussed sometimes. The big companies just want to snuff out the small ones. Right. But, uh, he's found a really interesting way of just working alongside them and helping to sometimes internally train their employees.

And, and it seems like he's married, uh, what he does really well at his company with a lot of what these bigger companies do, skill set is really unique that, uh, it's one of those skill sets that are going to be a larger company wouldn't want to have on hand. Uh, just because he's. Deep diving into data, a lot of data, and then doing MSI predictive analysis of where, uh, energies leaking from.Uh, so obviously working at a large wind turbine manufacturer, you get all the play with all the toys and all the cool stuff. Um, but it also kind of ties you into having a nine to five. Kind of job where you have to be there Monday through Friday, and you don't necessarily have some of the freedom you have of running your own company and sort of doing your own thing.And, and Michael's taken that initiative and moved on to his, to his own own business. And there's as much, it's very similar to ours from the, from the sounds of it. And the, the really key point I. Pull out of all that is, is for his company to be able to offices resources to the world and to work for a variety of different, a wind turbine manufacturers and wind turbine operators and provide...