Dynamic Cable Design & Configuration Optimization

Celtic Sea Floating Offshore Wind – Dynamic Cable Design & Configuration Optimization

Executive Summary

This study establishes the system closure layer of Morie Analytics by transforming system behavior into optimized dynamic cable configurations.

Building on upstream modules, the workflow integrates bathymetry, mooring offsets and hydrodynamic response to design constraint-compliant dynamic cables. The result is a constraint-driven optimization framework producing mechanically feasible cable configurations.

This module represents the final stage of Morie’s building blocks where system behavior is translated into preliminary cable configuration assessment.

Site intelligence → Layout generation → Soil reconstruction → Mooring physics → Anchor verification → Cable optimization

In floating offshore wind, the dynamic cable is where the entire system converges: the interface between the moving floating structure, the seabed infrastructure and the electrical network itself.

Dynamic power cable connecting floating offshore wind turbine to subsea electrical infrastructure

Figure 1 – Dynamic power cable as the interface between the floating system and the subsea electrical network - source: NREL.

Project Scope

  • Dynamic cable configuration modeling
  • Mooring offset integration
  • Hydrodynamic motion input
  • Constraint-based optimization
  • Geometry and performance evaluation

This study converts system behavior into optimized cable configuration.

Engineering Context

Dynamic cables must accommodate:

  • Floater motion
  • Environmental cyclic loading
  • Seabed interaction
  • Strict mechanical and geometrical constraints

Cable design is a constraint-dominated problem, balancing:

  • Geometry
  • Curvature
  • Tension
  • Seabed contact

This workflow ensures cable design reflects representative system response.At this stage, coupling between floater motion and cable response is represented through transferred motion envelopes and boundary conditions rather than through fully coupled nonlinear time-domain simulation.

Inputs and Data Sources

This study builds directly on upstream Morie Analytics outputs:

From morie_site

  • Bathymetry and soil classification grids
  • Lease boundary definitions

From morie_layout

  • Floater geometry
  • Fairlead position

From morie_mooring

  • Platform offset

Additional Inputs

  • Model configuration
  • Dynamic motion response
  • Cable properties and constraints

This provides the boundary conditions for cable design optimization.

System Flow

Bathymetry → Motion → Cable Geometry → Constraint Evaluation → Optimization

The architecture ensures consistent coupling between system behavior and cable design.

Processing Workflow

  1. Load configuration
  2. Extract bathymetry
  3. Define fairlead geometry
  4. Compute mooring offset
  5. Extract motion response
  6. Define cable model
  7. Apply constraints
  8. Run optimization
  9. Evaluate final configuration

This converts system response into optimized cable configuration.

Design Basis

This workflow is intended as a preliminary dynamic cable assessment framework suitable for early-stage floating offshore wind studies.

The current implementation focuses on:

  • Motion-envelope-driven cable configuration
  • Geometric and mechanical constraint evaluation
  • Preliminary configuration optimization
  • System-level coupling with floater response

The workflow does not currently include:

  • Full-array routing optimization
  • Electrical power-flow optimization
  • Detailed fatigue verification
  • Vortex-Induced Vibration (VIV) assessment
  • Fully coupled nonlinear cable dynamics
  • Installation engineering analysis

Cable System Definition

The cable is modeled as a multi-segment system connecting:

  • Seabed touchdown point or range
  • Suspended buoyant sections
  • Floater fairlead position

The configuration must remain within a defined geometric envelope, including:

  • Maximum and minimum hog heights (upper excursion limits)
  • Maximum and minimum sag depths (lower excursion limits)
Initial dynamic cable configuration showing seabed touchdown, suspended spans, and connection to floating wind turbine fairlead before optimization

Figure 2 – Initial cable configuration.

Engineering Interpretation

These limits define the allowable vertical excursion of the cable, ensuring:

  • Controlled curvature along suspended sections
  • Acceptable clearance from the seabed and water surface
  • Compatibility with floater motion and environmental loading

They act as primary geometric constraints, governing feasible cable configurations under the full system motion envelope.

System Motion Envelope

The cable boundary conditions are defined by the combined effect of:

  • Quasi-static offset from mooring equilibrium
  • Dynamic motion induced by environmental loading

Together, these define a motion envelope describing the full spatial excursion of the floater.

Engineering Interpretation

  • Sets the kinematic boundary condition for cable design
  • Defines maximum horizontal excursion and dynamic amplification
  • Directly governs cable span, curvature and touchdown behavior

Cable Design Model

The cable system is modeled as a multi-segment structure responding to:

  • Self-weight and buoyancy distribution
  • Seabed interaction at touchdown
  • Floater motion envelope
  • Hydrodynamic excitation

Engineering Interpretation

Cable behavior emerges from the interaction between:

  • Geometry (segment lengths and buoyancy)
  • Boundary conditions (motion envelope)
  • Constraint limits (tension, curvature, seabed contact)

The problem is inherently geometry-driven under dynamic constraints, where feasible configurations must adapt to system motion while remaining within allowable limits.

Optimization Problem

Design Variables

  • Segment lengths
  • Buoyancy distribution
  • Lay lengths

Constraints

  • Minimum lay length
  • Maximum sag and hog heights
  • Curvature limits
  • Tension safety factors
  • Touchdown range limits

Objective

The optimization seeks a configuration that:

  • Minimizes a simplified configuration cost function based on cable length, buoyancy distribution and geometric efficiency
  • Satisfies all mechanical and geometric constraints
  • Remains robust under the full motion envelope

This results in a feasible and constraint-compliant cable configuration, rather than an idealized solution.

Optimization Convergence

Optimization convergence showing cost reduction and constraint satisfaction

Figure 3 – Optimization convergence.

Engineering Interpretation

The optimization balances:

  • Feasibility (constraint satisfaction)
  • Efficiency (cost reduction)

Optimized Configuration

Optimized dynamic cable configuration satisfying all constraints

Figure 4 – Optimized cable configuration.

Outputs Generated

  • Optimized cable geometry
  • Constraint verification
  • Tension and curvature profiles
  • Sag, hog and touchdown positions
  • Optimization history

Engineering Applications

The outputs support:

  • Dynamic cable design
  • Constraint-driven optimization
  • System-level coupling
  • Early-stage engineering decisions

This enables:

System Motion → Cable Geometry → Constraint-Compliant Design

Relationship to Other Morie Study Cases

This study is the system closure layer of the Morie Analytics workflow.

Receives from

  • morie_site → bathymetry context
  • morie_layout → geometry and topology
  • morie_mooring → static and dynamic offsets
  • morie_anchor → validated system constraints

Completes

The cable branch of the system workflow.

It provides the final transition from system behavior to mechanically feasible cable configuration design.

Why It Matters Commercially

Dynamic cables are among the most critical and costly components of floating wind systems.

  • Reduces overdesign
  • Ensures constraint compliance
  • Balances cost and reliability
  • Supports early-stage decision making

This is where:

  • System behavior meets mechanically feasible cable configuration design
  • Constraints define feasibility
  • Preliminary cable design decisions are assessed

Aspects to Improve

  • Fatigue and Vortex Induced Vibrations (VIV) analysis
  • Probabilistic motion study
  • Touchdown cable rug abrasion mitigation strategies

Design Philosophy

This study reflects the Morie Analytics approach:

  • Physics-informed
  • Modular
  • Traceable
  • Engineering-focused
  • Scalable
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