Model ↔ Experiment
ModelExperiment
Normalized representationValidation
Prove, learn, repeat.
Each development stage is designed to reduce a specific uncertainty before the system moves into a more representative environment.
Development process
Evidence, built stage by stage.
01
Foundational modelling
Numerical investigation of the underlying physical system.
02
Computational development
Simulation used to evaluate performance and guide design decisions.
03
Experimental validation
Controlled testing used to compare predicted and observed behaviour.
04
Integrated system
Subsystems progressively combined into an energy-conversion prototype.
05
Representative environment
Testing under increasingly realistic hydraulic conditions.
Current development window06
Pilot deployment
Validation within real operating infrastructure.
01 · Modelling
Start with the physics.
Miromar uses numerical models to study the system at a high level without publicly exposing confidential equations or mechanism details.
- Hydrodynamic response
- Mechanical behaviour
- Energy conversion
- System dynamics
02 · Computational development
Interrogate the design space.
Abstracted analysis helps guide engineering decisions while protecting proprietary geometry. Public visuals are normalized and non-product-specific.
03 · Experimental testing
Measure what happens in water.
Controlled testing compares predicted and observed behaviour. Real Miromar imagery will replace the clearly marked development placeholder when it can be shared without disclosing confidential hardware.
Objective
Define a specific engineering question.
Method
Create a controlled, repeatable test.
Measurement
Capture physical response and uncertainty.
Learning
Compare, refine and determine the next test.
Results components
Data will speak when it is ready.
The reporting system is prepared for model comparisons, operating sweeps, repeatability and uncertainty. Public figures will appear only after they clear the release threshold.
Development confidence
Concept
Simulation
Controlled testing
Integrated system
Pilot
Public dataset
Validated public dataset
in preparation
in preparation
Testing and pilots
Bring a real site into the process.
Representative environments help turn laboratory learning into infrastructure-ready engineering.