INTEGRATED SYSTEM OPTIMISATION
We unravel
design complexity
We align engineering constraints with commercial goals to navigate the full design space of your assets.
By deploying smart algorithms and multi-disciplinary models, we identify the specific configurations that minimise LCOE and maximise IRR.
By deploying smart algorithms and multi-disciplinary models, we identify the specific configurations that minimise LCOE and maximise IRR.
Modular project optimisation
Targeted refinements for specific project variables. We apply our search and optimisation algorithms to solve isolated bottlenecks in wind farm control, plant layout, installation logistics, and hybrid plant dispatch and sizing. These interventions provide immediate performance gains on a per-project basis without the need for a full-scale architectural overhaul.
Wind farm control optimisation
Plant layout optimisation
Installation logistics optimisation
Costs and revenue optimisation
Hybrid plant dispatch and sizing
User-defined optimisation problem
Finding the Global Optimum
A decade of academic research and industrial application has taught us that the best project is rarely found within a single discipline. True value lies in the trade-offs between yield, foundations, logistics, and finance. We use Holistic Optimisation to bridge these silos and find the non-intuitive configurations that drive profitability.
How we support your projects
Design Space Exploration
We explore millions of design possibilities. Using Monte Carlo simulations and advanced optimisation algorithms, we stress-test your assumptions and identify the Pareto fronts where technical performance meets commercial reality.
Model Integration & Automation
We integrate data and computational tools from every discipline (yield, civil, electrical, O&M, finance, etc.), into a unified, automated workflow. This eliminates hand-off errors and allows your team to react instantly to changes in market conditions or design requirements.
Surrogate Modelling & Scaling
We adapt our fidelity to your project stage. Early on, we use fast surrogate models to scan a broad design space. As you move toward FID, we plug in sophisticated, high-fidelity models to provide the accuracy required for final investment decisions.
Interface Management
Technical excellence is often hindered by organisational silos. We act as the technical glue, hosting workshops and defining interfaces to ensure that every expert, from metocean to finance, is contributing to a singular, optimal system goal.
The "Start Small" Strategy
You don't need to rebuild your engineering processes all at once. We often begin with a targeted scope, such as coupling yield and foundation logic for layout optimisation or integrating metocean and logistics to refine T&I programmes. From there, we progressively add disciplines to exploit deeper interactions and find the best design overall.
1. Yield + WTG + Foundations
2. Metocean + Logistics
3. Full system
Illustrative roadmap for system-wide optimisation. We tailor the specific technical scope and implementation timeline to align with your project’s architecture and commercial objectives.
Solving the Complexity Gap
Implementing Holistic Optimisation is as much a human challenge as a technical one. We address the three primary friction points in system evolution:
Challenge
The Anemona intervention
Cultural silos
We foster a culture of "Global Optimality" through collaborative workshops that break down resistance to change.
Organisational friction
We ensure top-down alignment so that no single discipline becomes a bottleneck for the multidisciplinary workflow.
Software incompatibility
We don't force a product on you. We integrate existing tools or rewrite legacy code for usability, building systems that make "winning designs" visible through data.
Data visualisation
Decisions made through interaction. We use tools that allow you to zero in on the winning design by interacting with charts, not just reading spreadsheets.
Scientific authority
A record of research and publication demonstrates a deep familiarity with the inside-out mechanics of system design optimisation. These papers serve as a technical example of our experience in refining search algorithms and navigating the complexities of offshore wind farm design.
A comparison of eight optimization methods applied to a wind farm layout optimization problem
Wind Energy Science, 2023Impact: Established a definitive benchmark for wind farm layout optimisation by proving that gradient-based methods and hybrid algorithms significantly outperform traditional metaheuristics in both computational efficiency and the ability to find high-value energy yield solutions.
Multidisciplinary design analysis and optimisation of a reference offshore wind plant
The Science of Making Torque from Wind (TORQUE), 2018Impact: Proved that a holistic approach captures critical trade-offs between disciplines, resulting in a lower Levelised Cost of Energy (LCOE) than traditional, sequential optimisation methods.A guideline for selecting MDAO workflows with an application in offshore wind energy
TU Delft PhD Thesis, 2019Impact: Proved that selecting the correct architecture can significantly reduce the engineering time required to find an optimal, low-cost offshore wind plant design.
