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knowurheat

Part of the VC Map Project

The KnowUrHeat Plugin provides the user with the possibility to calculate the cost of different heating systems based on the user's heat demand.

Configuration overview for knowUrHeat

This configuration file defines all essential data and parameters required by the knowUrHeat plugin. It includes project metadata, external references, heating types, subsidy rules, investment cost models (CAPEX), energy prices, and various performance/financial assumptions.

Project metadata

  • name : Project identifier. Default is "knowUrHeat".

External links (optional)

Defines related URLs with their display names. In the user interface, these links are listed at the bottom of the wizard as references to external ressources.

Config example:

"links": [
  {
    "name": "Projekt Info Link",
    "url": "https://www.link.de"
  },
  ...
]

Initial heating systems

Lists the heating systems to be considered for replacement. Currently supported heating systems include gas and oil.

Config example:

"initialHeatingDemolition": [
  { "name": "Gas" },
  { "name": "Oil" }
]

Subsidy configuration

Specification of input parameters for calculation of individual components of the KfW subsidy program.

Config example:

"subsidies": {
  "baseSubsidyPercentage": 30,
  "ageThreshold": 20,
  "ageSubsidyPercentage": 20,
  "incomeThreshold": 40000,
  "incomeSubsidyPercentage": 30,
  "maxSubsidyPercentage": 70,
  "maxSubsidyValue": 30000
}

Parameters:

  • baseSubsidyPercentage: Standard subsidy percentage value applicable to all private individuals.
  • ageThreshold: Age (in years) of the previous heating system to qualify for an additional subsidy.
  • ageSubsidyPercentage: Percentage value of additional subsidy that is applied if the ageThreshold is met by the heating system to be replaced.
  • incomeThreshold: Maximum household income (in euro) to qualify for an additional income-based subsidy.
  • incomeSubsidyPercentage: Percentage value of additional subsidy for low-income households.
  • maxSubsidyPercentage: Upper limit for total subsidy entitlement (as a percentage value).
  • maxSubsidyValue: Maximum acquisition cost (in euro) that the total subsidy can be applied to.

CAPEX (capital expenditure) model

Defines installation and equipment cost scaling functions per technology as basis for the capital expenditure calculation of the heating systems to be considered for comparison.

Config example:

"capexData": {
  "gas": {
    "capexPerKwh": { "factor": 3304.8, "exponent": -0.673 },
    "equipment": { "factor": 748.01, "exponent": 0.5733 }
  },
  ...
}

Technologies supported:

  • gas: gas heater
  • awhp: air-water heat pump
  • gwhp: ground-water heat pump
  • aahp: air-air heat pump

Each includes the following parameters:

  • capexPerKwh: A cost function to estimate investment cost based on kWh.
  • equipment: A cost function to estimate equipment cost.

Main financial and technical data

Defines base data per technology for the operational expenditure and time value of money caluclations of the heating systems to be considered for comparison.

Config example:

"mainData": {
  "Year": [2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042],
  "Maintenance costs GH": [100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100],
  ...
  "Deconstruction costs GH": { "year": 15, "cost": 1000 },
  ...
  "Gas price": [11.87, 12.11, 12.27, 12.34, 12.42, 12.64, 12.86, 13.1, 13.35, 13.73, 14.24, 14.4, 14.81, 15.23, 15.67, 16.11, 16.56, 16.54, 16.53],
  "Gas price best": [11.87, 7.18, 7.42, 7.65, 7.89, 8.13, 8.37, 8.55, 8.73, 8.91, 9.09, 9.27, 9.46, 9.64, 9.82, 10, 10.18, 10.27, 10.36],
  "Gas price worst": [11.87, 10.7, 11.02, 11.34, 11.66, 11.98, 12.3, 12.8, 13.3, 13.8, 14.3, 14.8, 15.3, 15.8, 16.3, 16.8, 17.3, 17.62, 17.94],
  ...
  "Fuel Oil price": 9.736,
  "SEER OH": 0.7,
  "Efficiency GH": 0.8,
  "COP air-air HP": 4,
  ...
  "Rate of interest": [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]
}

General parameters:

  • Year: Label for each year of the reference period defined as an array.

Cost parameters:

  • Maintenance costs <heater type>: Defines maintanance costs (€/year) per technology for each year of the reference period as an array. Heater types supported: GH (gas heater), air-air HP (air-air heat pump), air-water HP (air-water hear pump), ground-water HP (ground-water heat pump).
  • Deconstruction costs <heater type>: Defines year of deconstruction and deconstruction costs per technology as an object of fixed values. Heater types supported: GH (gas heater), air-air HP (air-air heat pump), air-water HP (air-water hear pump), ground-water HP (ground-water heat pump).
    • year: Number of years after which the technology is deconstructed
    • cost: Cost of deconstruction (€)
  • <Energy type> price: Defines energy price projections (€/kWh) per energy type for each year of the reference period as an array for the average case scenario. Energy types supported: Gas, Electricity.
  • <Energy type> price best: Defines energy price projections (€/kWh) per energy type for each year of the reference period as an array for the best case scenario. Energy types supported: Gas, Electricity.
  • <Energy type> price worst: Defines energy price projections (€/kWh) per energy type for each year of the reference period as an array for the worst case scenario. Energy types supported: Gas, Electricity.
  • Fuel Oil price: Defines the assumed oil price used for reverse calculation of the energy demand based on the oil bill.

Technical performance parameters:

  • SEER OH: Seasonal Energy Efficiency Ratio, defines the efficiancy value for Oil Heating.
  • Efficiency GH: Efficiency value of Gas Heating
  • COP <heat pump type>: Coefficient of Performance, defines the efficiency value for heat pumps. Heat pump types supported: air-air HP (air-air heat pump), air-water HP (air-water hear pump), ground-water HP (ground-water heat pump).

Financial parameters:

  • Rate of interest: Defines the projected interest rate (%) for each year of the reference period as an array.

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