Skip to content

Configuration Guide

This guide explains all configuration options for the Heating Curve Optimizer integration.

Configuration Flow

The integration uses a multi-step configuration wizard:

graph LR A[Start] --> B[Basic Settings] B --> C[Source Selection] C --> D[Price Settings] D --> E[Complete] style A fill:#4caf50,stroke:#333,stroke-width:2px style E fill:#4caf50,stroke:#333,stroke-width:2px

Step 1: Basic Settings

Building Parameters

Area (m²)

  • Description: Total heated floor area of your home
  • Range: 50 - 500 m²
  • Default: 150 m²
  • Impact: Directly affects heat loss calculation

Example

A typical Dutch terraced house: 120-150 m² Detached house: 180-250 m²

Energy Label

  • Description: Building energy efficiency rating
  • Options: A+++, A++, A+, A, B, C, D, E, F, G
  • Default: C
  • Impact: Determines U-value (thermal transmittance)

Energy label to U-value mapping:

Label U-value (W/m²K) Insulation Quality
A+++ 0.18 Passive house standard
A++ 0.25 Excellent insulation
A+ 0.35 Very good insulation
A 0.45 Good insulation
B 0.60 Above average
C 0.80 Average (default)
D 1.00 Below average
E 1.40 Poor insulation
F 1.80 Very poor
G 2.50 Minimal insulation

Finding Your Energy Label

Check your property's Energy Performance Certificate (EPC). In the Netherlands, this is called the "Energielabel". You can find it at ep-online.nl.

Window Configuration

Glass East (m²)

  • Description: Total window area facing east (±45°)
  • Range: 0 - 50 m²
  • Default: 5 m²
  • Impact: Morning solar gain

Glass West (m²)

  • Description: Total window area facing west (±45°)
  • Range: 0 - 50 m²
  • Default: 5 m²
  • Impact: Evening solar gain

Glass South (m²)

  • Description: Total window area facing south (±45°)
  • Range: 0 - 50 m²
  • Default: 10 m²
  • Impact: Peak solar gain (most important)

Glass U-value (W/m²K)

  • Description: Thermal transmittance of windows
  • Range: 0.5 - 3.0
  • Default: 1.2
  • Impact: Heat loss through windows

Common window U-values:

Window Type U-value Notes
Triple glazing, argon fill 0.6 - 0.8 Best performance
Double glazing, HR++ 1.0 - 1.2 Modern standard
Double glazing, HR+ 1.6 - 2.0 Older double glazing
Single glazing 5.0 - 6.0 Very poor

Accurate Measurements Matter

Measure window dimensions (width × height) and sum by orientation. Include patio doors and skylights.

Heat Pump Parameters

Base COP

  • Description: Heat pump COP at 35°C supply temperature and 7°C outdoor temperature
  • Range: 2.0 - 6.0
  • Default: 3.5
  • Impact: Baseline efficiency calculation

Finding Base COP

Check your heat pump datasheet for COP at A7/W35 (7°C outdoor, 35°C water). This is a standardized test condition.

K-Factor

  • Description: COP degradation per °C supply temperature increase
  • Range: 0.01 - 0.10
  • Default: 0.03
  • Impact: How much COP drops when supply temp rises

Heat pump type guidelines:

Type K-Factor Notes
Ground source 0.02 - 0.025 More stable
Air-to-water (inverter) 0.025 - 0.035 Good modulation
Air-to-water (on/off) 0.035 - 0.045 Less efficient at high temps

Calibrating K-Factor

Monitor your heat pump's actual COP at different supply temperatures and adjust k-factor to match reality.

COP Compensation Factor

  • Description: Multiplier to adjust theoretical COP to real-world system efficiency
  • Range: 0.5 - 1.2
  • Default: 0.9
  • Impact: Accounts for distribution losses, defrost cycles, auxiliary pumps

Example

Theoretical COP = 4.0 Real system COP = 3.6 (measured) Compensation factor = 3.6 / 4.0 = 0.9

Advanced Settings

Planning Window (hours)

  • Description: How far ahead to optimize
  • Range: 2 - 24 hours
  • Default: 6 hours
  • Impact: Longer window = better optimization but more computation

Time Base (minutes)

  • Description: Optimization time step size
  • Range: 15 - 120 minutes
  • Default: 60 minutes
  • Impact: Smaller steps = finer control but more computation

Offset Change Speed (offset_delta_t)

  • Description: Minutes required per 1°C offset change
  • Range: 10 - 60 minutes
  • Default: 10 minutes
  • Impact: Controls how quickly the heating curve offset can change
  • Formula: Max change per step = time_base / offset_delta_t
  • At 60 min time_base, 10 min delta: max 6°C/hour
  • At 60 min time_base, 60 min delta: max 1°C/hour

Choosing offset_delta_t

  • Lower values (10-20): More responsive to price changes, good for volatile electricity markets
  • Higher values (30-60): Smoother operation, less stress on heating system

Temperature Control Settings

Target Indoor Temperature

  • Description: Desired indoor temperature setpoint
  • Range: 15 - 25°C
  • Default: 20°C
  • Impact: Base temperature for heat demand calculation

Indoor Temperature Hysteresis

  • Description: Temperature band around setpoint for smooth control
  • Range: 0.1 - 2.0°C
  • Default: 0.5°C
  • Impact: Prevents frequent on/off cycling

Heat Demand Modulation

When configured with an indoor temperature sensor, heat demand is automatically adjusted:

  • Below (target - hysteresis): Demand increases proportionally
  • Within hysteresis band: Linear reduction from 100% to 0%
  • Above (target + hysteresis): No heat demand

Performance Consideration

Planning window of 24 hours with 15-minute time base creates 96 time steps, which may be computationally intensive.

Step 2: Source Selection

Select the sensors that provide power consumption and production data.

Consumption Sensor

  • Required: Yes
  • Device Class: power or energy
  • Unit: W or kW
  • Description: Your home's total electricity consumption

Typical Sources

  • Smart meter sensor: sensor.power_consumption
  • Energy monitor: sensor.house_power
  • Shelly EM: sensor.shellyem_power

Production Sensor

  • Required: No (but recommended if you have solar panels)
  • Device Class: power or energy
  • Unit: W or kW
  • Description: Solar panel or other electricity production

Solar Production

If you have solar panels, definitely configure production sensor. This enables: - Solar gain buffering - Net price calculation (consumption price - production price) - Optimized heating during peak production

Step 3: Price Settings

Configure electricity price sensors for optimization.

Consumption Price Sensor

  • Required: Yes (or configure fixed price)
  • Unit: €/kWh or your currency
  • Description: Variable electricity consumption price

Supported Price Sensor Formats

The integration supports multiple price sensor attribute formats:

attributes:
  raw_today:
    - hour: "2025-11-15T00:00:00+01:00"
      price: 0.23
    - hour: "2025-11-15T01:00:00+01:00"
      price: 0.21
    ...
  raw_tomorrow:
    - hour: "2025-11-16T00:00:00+01:00"
      price: 0.25
    ...
attributes:
  forecast_prices:
    - datetime: "2025-11-15T00:00:00+01:00"
      price: 0.23
    - datetime: "2025-11-15T01:00:00+01:00"
      price: 0.21
    ...
attributes:
  net_prices_today:
    - 0.23
    - 0.21
    - 0.19
    ...
  net_prices_tomorrow:
    - 0.25
    - 0.24
    ...

Popular Integrations

  • Nordpool: Uses raw_today / raw_tomorrow
  • ENTSO-E: Uses forecast_prices
  • Energy Tariffs: Uses custom formats

Production Price Sensor

  • Required: No
  • Unit: €/kWh
  • Description: Electricity sell-back price (feed-in tariff)

Why Production Price?

When you have solar production, the effective cost of electricity is:

\[ \text{Net Cost} = \text{Consumption Price} - \text{Production Price} \]

During peak production, net cost can be negative, making heating essentially free!

Fixed Price Mode

If you don't have a variable price sensor:

  1. Leave price sensors empty
  2. Integration uses current sensor state as fixed price
  3. Optimization still works but focuses on COP efficiency rather than price timing

Limited Optimization

Fixed price mode provides minimal cost savings. Variable pricing (e.g., dynamic contracts) unlocks the full potential.

Updating Configuration

After initial setup, you can modify settings:

  1. Navigate to Settings → Devices & Services
  2. Find "Heating Curve Optimizer"
  3. Click "Configure"
  4. Modify parameters
  5. Save

Changes take effect immediately (within one update cycle).

Configuration Examples

Example 1: Well-Insulated House with Solar

Area: 150 m²
Energy Label: A+
Glass East: 3 m²
Glass West: 3 m²
Glass South: 12 m²
Glass U-value: 0.8 W/m²K

Base COP: 4.2
K-Factor: 0.025
COP Compensation: 0.92

Consumption Sensor: sensor.power_consumption
Production Sensor: sensor.solar_production
Consumption Price: sensor.nordpool_kwh_nl_eur_3_10_0
Production Price: sensor.feed_in_tariff

Example 2: Average House, No Solar

Area: 120 m²
Energy Label: C
Glass East: 5 m²
Glass West: 5 m²
Glass South: 8 m²
Glass U-value: 1.2 W/m²K

Base COP: 3.5
K-Factor: 0.03
COP Compensation: 0.9

Consumption Sensor: sensor.power_consumption
Production Sensor: (none)
Consumption Price: sensor.electricity_price
Production Price: (none)

Example 3: Poorly Insulated House

Area: 180 m²
Energy Label: E
Glass East: 6 m²
Glass West: 6 m²
Glass South: 10 m²
Glass U-value: 2.0 W/m²K

Base COP: 3.0
K-Factor: 0.035
COP Compensation: 0.85

Consumption Sensor: sensor.power_consumption
Production Sensor: (none)
Consumption Price: 0.30 (fixed)
Production Price: (none)

Validation

The integration validates your configuration:

  • ✓ Area must be reasonable (50-500 m²)
  • ✓ Energy label must be valid
  • ✓ COP parameters must be physically plausible
  • ✓ Selected sensors must exist and have valid states

If validation fails, you'll see an error message explaining the issue.


Next: Quick Start Guide - Start optimizing your heating!