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Renewables.Architect

Agentic and AI Workflows

Purpose

Section titled “Purpose”

The Renewables.Architect Integrate API allows agentic systems and AI-driven orchestrators to call high-fidelity engineering models as part of larger decision pipelines.

This enables teams to treat Renewables.Architect as an engineering execution service inside automated digital workflows.

Common Patterns

Section titled “Common Patterns”
  • Agent-led analysis planning: Select model paths and input assumptions from project context.
  • Dynamic payload generation: Build or adapt application definitions per scenario.
  • Automated execution loop: Submit jobs, monitor state, retrieve outputs, and evaluate next actions.
  • Multi-system orchestration: Combine engineering outputs with geospatial, commercial, optimisation, or portfolio services.

Example Workflow

Section titled “Example Workflow”
  1. Ingest project opportunity data.
  2. Select analysis strategy and model set.
  3. Generate application payloads.
  4. Execute runs through the Integrate API.
  5. Aggregate results and rank alternatives.
  6. Trigger downstream reporting or optimisation actions.

Where This Fits Best

Section titled “Where This Fits Best”
  • screening and prioritisation across candidate projects,
  • design-space exploration and scenario comparison,
  • rapid technical-commercial iteration loops,
  • digital workflows that require traceable engineering evidence.
Section titled “Related Documentation”

Getting Started

Section titled “Getting Started”
  1. Set up authentication via API Tokens.
  2. Follow Access and Usage for access prerequisites.
  3. Implement the request lifecycle in API Workflow.
  4. Use Applications Library templates as starter payloads.