Heading a section of 20 talented researchers and engineers. The section is at the centre of DTU Wind, leveraging the expertise of all the other sections to perform research and developing industry ready tools for the design and operation of wind based energy systems (ranging from wind farms, wind clusters, hybrid plants mixing wind-solar-battery, P2X systems, Energy islands). It does that by attracting and developing the competence of uniquely individuals within the fields of system engineering, optimisation, machine learning, uncertainty quantification and multi-fidelity modelling. Through the collaborations with domain experts from other sections, we develop multi-fidelity tools that are able to capture the relevant aspects of the physics to model the intricate interactions between components at the system perspective. This enable us to simulate, control and design wind based energy systems of different scales and types. Our activities range from low TRL and long term research, through publicly funded projects, to commercial and co-financed projects with companies to develop design, operation and simulation tools. We also teach students and train industry on the theory and practice of those tools.Our open source flagships products are PyWake, Topfarm and HyDesign. - PyWake is an open source multi-fidelity wind farm flow library that can simulate the complex wind turbine and wind farm interactions at different scales (from single turbine wake to wind farm and wind clusters). It's used by 35+ wind energy companies. - Topfarm is a python framework to optimise the design and control of wind farms. It can explore trade-offs between improving the AEP of the farm, and reducing the capital expenditures f.ex. reducing electrical cabling costs. - HyDesign is a python framework to optimise the control co-design of hybrid plants (by sizing wind, solar & battery), taking into account complex inter-day charging/dis-charging scenarios based on electrical market prices.

Heading the scientific development of PyWake and Topfarm open source libraries for wind farm flow simulation and designResearch across the following fields applied to Wind Energy:- Wind Farm Flow Modelling- Wind Power Plant Design- AI- Digital Twins- Uncertainty Quantification- System Engineering- Machine Learning- Wind Resource Prediction- Energy Digitalisation

- Establishing a proof-of-concept in the context of peer2peer energy trading, and local community cooperation.- Designing a system to automatically generate community focussed IOU tokens (e.g. for Charities, NGOs, local communities, families, group of friends).- Co-Organising the CPH-Ethereum Meetup community- Community driven local CO2 tax

- Designing a web-app to help emerge the current scientific consensus around claims in the media- Designing a system for mapping the scientific process on a blockchain (Ethereum)- Full-stack web development (Meteor)

Industrial Sabbatical during which I lead a portfolio of cutting-edge & disruptive design and simulation technology research projects. I was responsible for developing the 10year roadmap of design and simulation technologies for all Vestas R&D. My role also involved doing some technology scouting & landscaping and early stage concept development in the field of wind power plant & new turbine design technologies, and innovative fluid dynamics concepts.

In the Aero-elastic design Section and in the Resource Assessment Section at Risø.Pioneered and developed the research field of System Engineering and Uncertainty Quantification in wind plant modeling and design at DTU Wind Energy.Research topics:- Wind Farm Wake- Wind Farm optimisation- Wind Turbine Rotor optimisation- Wind Resources in CFD- Uncertainty Quantification of Wind Farm Flow Models- Wind Energy System EngineeringResearch projects:IEA-WakeBench, EU-FP7 EERA-DTOC, DSF Flow Center, EUDP LightRotor, WAsP-CFD, TOPFARM2, EUDP-FarmOpt, FUSED-Wind, IRP-Wind, EUDP-PossPow, EUDP-Korean TOPFARMResearch tools:FUSED-Wind, EllipSys, WAsP, HAWC2, Fuga, OpenMDAO, TopFarm

Employee representative for the engineers of DTU - Wind Energy (~120 employees).- Deputy chairman of the DTU Wind Energy Liaison Committee (LSU)- Contract reviewer- Salary negotiation- Professional crisis mediator- Career advisor

In the Aero-elastic design Section at RisøResearch topics- Wind farm wake modelling (CFD and engineering models)- Full rotor computation (CFD)- Flow over complex terrain (CFD)- Wind farm optimization- Automatic mesh generation for CFDResearch Projects:EU-FP7 EERA-DTOC, IEA-WakeBench, DSF Flow Center, EUDP Light Rotor, WAsP-CFD

Publishing wind energy research material in open-access.

Employee representative for the engineers of Risø DTU - Wind Energy (~80 employees).- Deputy chairman of the Risø DTU Wind Energy Liaison Committee (LSU)- Member of the Risø DTU Liaison Committee (ASU)- Contract reviewer- Salary negotiation- Professional crisis mediator- Career advisor

Areas of research: - Wind turbine and wind farm wake effect (models and measurements)- Rotor aerodynamics- Wind resource simulation- Wind farm optimization- Wind tunnel modelling- CFD (EllipSys3D & OpenFoam)Research Projects:DSF Flow Center, EUDP Light Rotor, Carbon Trust's OWA, EU-FP6 TopFarm, EUDP Rotor tips, IEA-MexNext

Analysis of the wake effect within and downwind large offshore wind farms. Development of a wind farm wake model based on an Elliptic CFD code.Thesis: http://www.risoe.dtu.dk/rispubl/reports/ris-phd-53.pdf

Data analysis of wind farm wake measurements. Work on national and international research projects in collaboration with the wind industry (DONG, Vestas, Siemens).