Our Solutions

enerbeat builds a seamless data foundation for smarter HVAC operation: a comprehensive monitoring solution captures relevant conditions, edge devices process data locally, digital twins reveal system interactions, and control algorithms enable demand-driven operation.

Solutions · Operations

Making existing HVAC systems transparent, reliable and gradually more efficient.

Existing HVAC systems often hold significant efficiency potential — but in day-to-day operation, the transparency and time needed to unlock it safely are frequently missing. Room and zone conditions, energy flows, control performance and actual load profiles are often only partially known. At the same time, thermal comfort, air quality and production requirements must be reliably maintained, while manual interventions need to remain possible.

enerbeat creates a robust data foundation: sensors capture relevant operating conditions, edge devices process data locally, digital twins make system interactions visible, and control algorithms support demand-driven operation. Step by step, existing systems become more transparent, stable and efficient to operate.

Image: Existing HVAC plant becoming transparent through an enerbeat sensor & edge layer

What stays hidden — and what it costs

By making rigid operating strategies, limited condition assessment, unused design reserves and reactive maintenance patterns visible, enerbeat helps identify and realize optimization potential in a controlled and traceable way.

Rigid operating strategies

Fixed setpoints that no longer match real usage, weather, or occupancy patterns.

Limited condition assessment

Key parameters in rooms, ducts and zones go unmeasured — or are measured in the wrong place.

Unused design reserves

Capacity that was paid for but is never recovered, because no one can safely see how much potential is left.

Reactive maintenance

Failures and drift surface as complaints instead of as early warnings from the system itself.

The enerbeat solution portfolio for operations

enerbeat combines advanced monitoring, edge computing, data preprocessing, modern visualization techniques, digital twins, predictive maintenance, and demand-driven as well as model-predictive control. Manual override options and robust fallback logic are defined as core project requirements — ensuring that optimization remains safe, transparent and reliable in real-world operation.

  • Advanced room & zone sensing
  • Decentralized edge computing
  • Data preprocessing & visualization
  • Digital twins of HVAC subsystems
  • Predictive maintenance
  • Demand-driven & model-predictive control
  • Manual override & fallback logic
  • Traceable, auditable operation
Diagram: Layered enerbeat stack (sensors → edge → optimization) with manual override

How we work

Six steps from first conversation to traceable optimization

  1. 01

    Initial consultation

    We clarify objectives, operational requirements and potential risks together.

  2. 02

    System assessment

    We review available data, building management systems, sensor infrastructure and current operating behavior.

  3. 03

    Potential analysis

    We evaluate optimization potential, suitable measures and the data required for implementation.

  4. 04

    Integration

    We integrate sensors, gateways, edge devices and the relevant system interfaces.

  5. 05

    Transparency

    Dashboards make zones, operating conditions and energy flows visible to the people who need them.

  6. 06

    Optimization

    Demand-driven control strategies, fallback logic and reporting support safe, traceable and reliable operation.

Solutions · Planning

Design HVAC systems for efficient operation from day one.

HVAC planning is often based on static assumptions, peak loads and worst-case scenarios. While these assumptions may cover extreme cases, they often lead to high investment and operating costs.

enerbeat supports planning teams with simulation, digital twins, scenario comparison, control strategies, sizing support, data point concepts, integration logic and validation — creating a physical basis for decisions that are technically robust and aligned with efficient, transparent, adaptable operation.

Image: Building digital twin used during the planning phase

Decisions made in planning shape the complete life cycle of the building

By considering monitoring, control and optimization from the start, efficiency levers can be identified earlier, investment costs can be reduced, and future retrofit or optimization measures can be prepared in a cost-efficient way from day one.

Earlier efficiency levers

Identify and quantify optimization opportunities early in the planning phase.

Reduce investment costs

Replace blanket worst-case scenarios with simulated, scenario-tested sizing — low investment costs, lower lifetime energy demand.

Monitoring-ready from day one

Data points, interfaces and control logic are specified so future optimization and retrofits are already prepared.

What we bring into planning

Practice-validated models, physics-based simulation, and a clear view of efficiency levers from the earliest project stages — integrated into your planning workflow.

  • Simulation & digital twins
  • Scenario comparison
  • System strategy & sizing support
  • Data point concepts
  • Integration logic
  • Validation against operating goals
Diagram: enerbeat contributions mapped onto planning phases

How we work

Six stages from objectives to a monitoring-ready system

  1. 01

    Objectives

    Boundary conditions, comfort, quality and production requirements.

  2. 02

    Analysis

    Usage patterns, load profiles, system design and available data.

  3. 03

    Modeling

    Digital twins and validated planning assumptions.

  4. 04

    Scenarios

    System sizing and operating strategies are defined early.

  5. 05

    Concept

    Data points, integration requirements and system interfaces.

  6. 06

    Handover

    Validation and preparation for energy-efficient operation.