GB Household Demand & Flexibility Tool

Model aggregated demand profiles and quantify the flexibility potential from residential batteries in local markets.

Base Demand Parameters

15%

Technology Adoption

Battery & Flexibility Market

Component Breakdown

Methodology & Assumptions

1. Base Demand Profiles

The foundation of the model uses official Elexon Profile Coefficients for domestic profile classes in Great Britain:

  • Profile Class 1 (Unrestricted): Represents households with standard tariffs. The model assumes an Annual Average Consumption (AAC) of 2,900 kWh.
  • Profile Class 2 (Economy 7): Represents households with electric heating on an Economy 7 tariff, with a higher AAC of 4,200 kWh.

2. Technology Profile Assumptions

Standard profiles are modified by overlaying profiles for EV charging:

  • Electric Vehicle (EV) Charging: Dumb Charging creates a peak between 8-11 PM. Smart Charging shifts this demand to off-peak hours (e.g., 12-4 AM).

3. Flexibility & Revenue Simulation

The tool simulates the behaviour of the aggregated residential batteries participating in a local flexibility market to provide peak-time demand reduction.

  • Charging Strategy: To prepare for the evening service, batteries charge from the grid during the cheapest half-hour slots, determined by the wholesale price profile for that day.
  • Dispatch & Capacity: During the specified flexibility service window, the total aggregated battery capacity is discharged to the grid to reduce net demand. The available capacity is the total energy the batteries can deliver in that window.
  • Revenue Calculation: Revenue is calculated from two streams: an Availability Payment for the capacity made available (p/kWh/h) and a Utilisation Payment for the actual energy discharged (p/kWh).