About
A Paradigm Shift in Turbine Optimisation
Founded in 2017, Reoptimize Systems’ core technology was developed by Co-Founder & Technical Director Juan Pablo Echenique during seven years of wind and tidal energy systems R&D at The University of Edinburgh, Scotland.
We believe that wind energy has a hugely exciting future, and we know that higher levels of output, lower costs and longer asset lifespans are just waiting to be unlocked.
Our team is bolstered by specialists in electrical and mechanical engineering, physics, computer science and asset optimisation — a core technical team supported by industry-leading advisors and a dedicated support staff.
Our People
An ambitious and forward-thinking team, combining specialist knowledge, deep research & development experience and versatile skill sets.
Juan Pablo Echenique
Co-Founder, CEO, and the originator of the Reoptimize technology. Dr. Echenique holds a PhD in Electrical Engineering, has been published in top class journals and international conferences, and is the recipient of a number of prestigious awards — such as the 'Ramón Salas Edwards' award (2009) from the Chilean Institute of Engineers (Instituto de Ingenieros de Chile). Juan Pablo has worked on turbine optimisation for 12 years.
Richard Crozier
Co-founder and CPO of Reoptimize, Dr. Crozier has a PhD in Electrical Engineering from The University of Edinburgh — in the field of optimisation of electrical generators for renewable energies. He is an experienced software developer and chartered engineer with 13 years experience in the renewable energy field.
Aidan Burns
Aidan obtained a master's degree in Aerospace Engineering from the University of Glasgow in 2022, being awarded the Paul Shoda Prize, and after spending two years in aerospace he transitioned to the wind industry in 2024. He brings experience in turbomachinery, fluid mechanics, and performance engineering.
Luca Gajoni
Luca is a Mechanical Engineer with a deep passion for aerodynamics. Originally from Italy, he graduated at Politecnico Di Milano in October 2021 with a Master Thesis that focused on wind turbine modeling optimization. Moved to Edinburgh in 2022 to pursue a career in the wind industry. With a background in load analysis and aeroelastic simulations, Luca is committed to contributing to the advancement of wind energy technologies.
Advisors & Partners
Our work is supported by a number of sector experts, academic institutions and key industry figures — providing valuable guidance, partnership and expertise in all aspects of our operation and growth.
The University of Edinburgh
ORE Catapult
Johnnie Adringa
Nigel Ellis
Ian Marchant
Andreas Bluhm
Mike Anderson
Key Dates
An overview of the key milestones so far for Reoptimize Systems — from our background and formation to recent growth and achievements.
2023
£190,000 bridge investment — January 2023
Pilot project LiDAR Validation complete — February 2023
£640,000 Energy Entrepreneurs Fund grant — February 2023
2022
First patent on Global Loss Minimisation granted in USA and China — June 2022
2021
First deployment on Siemens 2.3 MW turbine — April 2021
£300,000 seed investment — May 2021
2020
Reoptimize Systems receives SMART: Scotland Grant from Scottish Enterprise
2019
Regional Winner of Shell Springboard — April 2019
2018
Reoptimize Systems receives Innovate UK ICURe funding for 100kW scale turbine development
2017
Reoptimize Systems founded — October 2017
Converge Challenge winner (KickStart Challenge)
2010-2017
Co-founder and CEO, JP Echenique develops pioneering Global Loss Minimisation algorithm during 7 years of R&D in wind and tidal energy systems at the University of Edinburgh
Our Approach
We believe that wind energy has a hugely exciting future, and we know that higher levels of output, lower costs and longer asset lifespans are just waiting to be unlocked.
Our approach utilises high resolution operating data and full-system ‘digital twin’ modelling to identify efficiencies and make precise adjustments to your turbine control parameters — your asset is calibrated perfectly for optimum performance in its specific environmental conditions.
- Backed by Years of R&D
- No Mechanical Intervention
- Increased Energy Production
- Extended Asset Lifespan
