Energy Communities

Use more local energy when it's available.

Coordinate the flexibility already inside the community.

NRGsurf combines automated asset response with behavioral intelligence to help flexible demand better align with local renewable generation.

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Local surplus windowLocal generationLocal demandFlexible demand06:0012:0020:00
  1. Local generation
  2. Mismatch with local demand
  3. Flexible demand moves toward the window
  4. Better alignment
Illustrative Illustrative local energy flow · not measured data

The local matching gap

Local energy is not always used when it's produced.

Local renewable generation and local consumption follow different patterns. When production and demand do not align, part of the opportunity to use energy locally may remain untapped.

Local surplus windowGeneration availableDemand hereLocal consumptionEvening demand
Illustrative Conceptual daily pattern
  1. 01Generation is available here
  2. 02Demand does not fully align
  3. 03What can move here?

What flexible demand could move into this window?

Available flexibility

The resource may already be there.

Potential flexibility is not the same as coordinated flexibility.

To use flexibility effectively, the system needs to understand what can respond, when it can respond, and how much response may be available.

More directly controllableMore response-dependent

Automated assets

  1. EV charging

    Charging windows and departure needs

  2. Batteries

    Availability and state of charge

  3. Heat pumps

    Thermal flexibility and comfort

  4. Other flexible loads

    Operating windows

Behavioral flexibility

People

Voluntary shifts in everyday use. Response is probabilistic.

Conceptual placement only. NRGsurf does not control every resource type.

Two sources of flexibility

Flexibility isn't only in devices.

Automated response

Which assets can shift automatically?

  • EV charging
  • Batteries
  • Heat pumps
  • Controllable loads

Behavioral response

Who is likely to shift voluntarily?

  • Who is likely to respond?
  • To which intervention?
  • When?
  • How much demand may shift?

Probabilistic · expected, not guaranteed

Coordinated flexibility

NRGsurf combines both sources when estimating how flexible demand may respond to a local energy need.

Coordination

Move flexible demand toward local production.

  1. BeforeMisaligned

    Consumption partly outside the generation window. Mismatch.

  2. NRGsurf

    1. 01Forecast local generation
    2. 02Identify available flexibility
    3. 03Estimate automated response
    4. 04Estimate behavioral response
    5. 05Select timing / intervention

  3. Coordinated scenarioDemand moves toward the window

    Part of flexible demand moves into the local generation window.

Better local matching

Illustrative scenario Not measured deployment evidence. No values implied.

From data to flexibility

Know when. Know what. Know who. Know how much.

The goal is not only to forecast consumption. It is to estimate how automated assets and behavioral response could contribute to a specific local energy need.

Energy need

  1. 01

    When?

    When is local renewable surplus expected?

  2. 02

    What?

    Which flexible assets may be available?

  3. 03

    Who?

    Which participants or cohorts are more likely to respond?

  4. 04

    How?

    Which intervention may work better?

  5. 05

    How much?

    How much demand may shift?

DecisionFlexibility plan

Behavioral evidence

Similar households can respond differently.

Randomized field experiments behind NRGsurf's behavioral approach tested how real households respond to different energy interventions.

Up to48%

more energy savings than offering everyone the same incentive

2,372 households · 6 countries · randomized field trials

Research evidence for the behavioral mechanism. Not Energy Community deployment evidence.

Application experience

From behavioral research to real energy systems.

NRGsurf has contributed energy software within an Austrian partner ecosystem serving 100+ Energy Communities and 10,000+ households.

NRGsurf contribution

  • EV charging
  • Use of local renewable-energy surplus

Partner ecosystem scale

Partner ecosystem100+
Energy Communities
Partner ecosystem10,000+
Households

Served by the Austrian partner ecosystem. Not operated by NRGsurf and not NRGsurf customers.

Residential rooftops with solar panels in a European community

Complement the existing stack

Add flexibility intelligence to the systems already running the community.

Data

  • Generation data
  • Consumption data
  • Flexible asset data
  • Historical response

NRGsurf flexibility intelligence

  • Forecasts local surplus
  • Identifies flexibility
  • Estimates automated + behavioral response
  • Supports a flexibility plan
  • Learns from actual response

Existing community systems

  • Metering
  • Allocation
  • Billing / settlement
  • Asset control
  • Participant engagement
  • Energy Sharing / market processes

NRGsurf is designed to complement existing Energy Community infrastructure rather than replace it.

Conceptual architecture. Not a list of formal integrations.

Start small

Start with the data you already have.

  1. 01

    Understand

    Where do local generation and consumption fail to align?

    What flexible resources already exist?

  2. 02

    Simulate

    Estimate how automated and behavioral flexibility might improve local matching.

  3. 03

    Validate

    Compare expected response with actual response in a bounded use case.

LearnImprove the next flexibility plan

Explore an Energy Community use case

NRGsurf for Energy Communities

Make flexibility reliable.

Coordinate automated assets and behavioral response around local energy production.

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