Issue link: https://htpgraphics.uberflip.com/i/711915
Legal Structure: Limited by Shares Faculty: Science and Engineering & Humanities Website: Under Development Mission: To provide a highly cost-effective, site assessment software package which highlights areas of wind and dramatically increases the accuracy of wind resource assessment, whilst maximising return on investment for wind farm developers. Why are we innovative? 1) Maximum Wind has first mover advantage in the market utilising LIDAR terrain data in wind flow simulations 2) Utilising high resolution 3-D wind maps, Maximum Wind improves the resolution of computational fluid dynamic simulations by a factor of 10 or more 3) Maximum Wind utilises Computational Fluid Dynamics to simulate wind flow and predict wind speeds and turbulence at all heights and places without actually measuring local speeds Some of Manchester's campus based community who are opting to innovate: Barry Johnston and Niall Coogan, Maximum Wind Limited Niall Coogan and Barry Johnston at the Venture Further Awards 2016 Key achievements • Secured £5,000 of investment and enterprise support through the UMIP Innovation Optimiser (2016), alongside formalised backing from The University of Manchester • Achieved 1st place and received £10,000 of funding from The University of Manchester Enterprise Centre Venture Further business plan competition (2016) • Finalists in Engineering YES (2016) • Secured a team of partners to develop the software and hardware, including a number of PhD candidates, a mechanical engineer and Chinese contacts to develop the business overseas Optimiser support • Award Funding • One 2 One Sessions • Venture Planning • Introductions to Advisors • Business Model Generation • Intellectual Property Advice 17 Case study