Technology & architecture
Built around the constraints of the real world.
An architecture for forecasting uncertain conditions, making feasible decisions and coordinating distributed resources within explicit operating limits.
Energy Forecasting Intelligence
Anticipate demand, renewable generation, prices and network pressure before they shape the next operating window.
Distributed Energy Asset Intelligence
Bring asset state, availability, customer requirements and operating limits into one decision-ready model.
AI Flexibility Optimization
Evaluate feasible actions across the portfolio. Balance energy objectives with the physical limits of every connected resource.
Automated Energy Orchestration
Translate the plan into scheduled, asset-level actions. Track instructions, acknowledgements and changing conditions.
Market & grid layer
Aggregate eligible flexibility into capacity for grid services and market participation, subject to local programme requirements.
Integration architecture
Designed to work
with your energy systems.
Existing operational systems carry essential context. Delvrin’s integration architecture brings that context into a shared model for coordination.
layer.Ingest · Model · Coordinate
Integration architecture. Protocols, control permissions and data access are scoped to each deployment.
Engineering principles
Constraints before actions.
Customer requirements, physical limits and operating permissions define the feasible decision space.
Uncertainty stays visible.
Forecasts inform decisions. Confidence, changing conditions and reserve requirements remain part of the operating context.
Control has boundaries.
The architecture separates recommendations, authorized control workflows and measured acknowledgements. Deployment permissions are explicitly scoped.
Delivery must be measured.
A dispatch instruction is not proof of response. Verification connects requested actions with observed asset behavior.
Decision intelligence
Optimization within
an operating envelope.
Designed to support multi-objective scheduling, portfolio allocation and grid-aware coordination. Exact models and integrations are scoped to the operating environment.
Different constraints.
A different decision.
Adjust the operating envelope to see how available flexibility changes the coordinated demand curve.
Reference optimization scenario. Not an energy forecast or an operational recommendation.
The next operating layer
Let’s coordinate
what comes next.
Explore what distributed energy orchestration could mean for your organization.
Talk to Delvrin