Meventus conducted thorough Technical Due Diligence for Fu-Gen’s acquisition of a 73 MW wind farm, leading to a positive investment decision. Meventus continued as the Lender’s Technical Advisor.
Tag: Wind & Site
Production assessment
Meventus provided the annual report of wind speed and production index levels for all 40 operational Norwegian wind farms to the Norwegian Water Resources and Energy Directorate from 2018 until its discontinuation in 2021.
Layout Optimization
Meventus optimized a wind farm layout for a Norwegian project, achieving a 3% increase in production, while reducing all wind load parameters and keeping in compliance with permit requirements. Layout approved by OEM, wind farm owner and regulatory body.
Midgard Project Support
Meventus facilitated TrønderEnergi’s (now Aneo) wind turbine procurement for the Midgard project cluster, securing agreements with Vestas for 78 turbines totaling 330 MW. Meventus provided critical wind and site evaluations, served as Owner’s engineer, and ensured compliance with permits and neighbor impact requirements.
OX2 Wind Power Service Benchmarking
Research: Instant Wind – Model Reduction For Fast CFD Computations
This study develops a method to expedite wind flow calculations using Computational Fluid Dynamics (CFD) results. Model reduction techniques enable fast wind farm simulations with promising precision and reduced computation time. The implemented models are publicly available for download, aiming for integration into visualization and layout optimization tools.
Research: Lidar In Complex Flow
Complex flow phenomena pose challenges for wind turbine operation. A hybrid lidar-LES approach was developed to better predict re-circulation and turbulence, tested successfully in complex terrain in Norway, enabling accurate flow behavior descriptions.
Research: Lidar In Complex Terrain
The study explores the use of wind Lidars in complex terrain, addressing uncertainties, biases, and cost-effectiveness. It introduces horizontally scanning Lidars for enhanced measurement accuracy and proposes a measurement campaign to assess Lidar uncertainty and optimize cost-efficient configurations.