WindDesk Discover, a free tool to prospect for wind farms, is now available globally.
After two years of hard work, we are thrilled to announce the launch of Traverse. Traverse is a geospatial simulation software for renewable energy project developers. You can draw the schematics of your project and immediately receive an estimate of:
You can also perform a variety of “Geo Algorithms” (that contributes to CAPEX, revenue and IRR) such as:
At the risk of being a little boring, we have named these products HydroDesk, SolarDesk and WindDesk. HydroDesk is available today while WindDesk and SolarDesk will be available in the first half of 2019.
We built Traverse around three core principles to enable project developers to manage their development risk in high resolution:
Being able to generate project performance estimates at this speed, scale and observability allows project managers to trade off unnecessary precision for accuracy at the early stages of a project’s lifecycle. They can easily test and shortlist a large number of different project configurations across diverse locations in their region(s) of choice, at a fraction of time and cost they would have normally incurred.
We don’t need a total station to know that a waterfall has a large amount of hydraulic head within a very short distance. But where are all the waterfall like places in the world? One of the many features of HydroDesk is River Slopes, which you can toggle at the click of a button.
Our mission is to provide developers, financiers, governments, engineers and analysts with super powers to predict project performance on a continental scale.
Our planet is really large. The large majority of project assessment work-flows (such as pre-FS/FS processes) performed today are on localized areas by small in-house teams aided by engineering consultancies. They can only see as much of the world as their finite work hours allow.
In addition to engineering issues, a large part of development risk is in permitting and land acquisition. However, to buy the right piece of land and apply for the right permits, it helps to know in advance whether a certain locale will bear technical fruit. This is a chicken and egg problem with a deadline.
To tackle this problem, we built Traverse with a multi-disciplinary approach marrying modern advances in computer science (such as machine learning), classical civil-mechanical engineering, the earth sciences and half a century of satellite reconnaissance data.
We hope that Traverse can give another leg-up to the acceleration of global renewable energy adoption in addition to the huge transformations happening in EPC prices, cell efficiencies, policy reform and consumer demand.
If you would like to try out Traverse or have any queries, please feel free to contact me at thet@traverse.ai.
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