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Reference implementation of flexible charging tariffs for CPOs and EMTs based on Green Power Index and SolarEnergyPrediction APIs. Part of #mobilitython2022 - Enpulse challenge.

License: MIT License

JavaScript 100.00%

corrently-charge's Introduction

corrently-charge

Reference implementation of flexible charging tariffs for CPOs and EMTs based on Green Power Index and SolarEnergyPrediction APIs. Part of #mobilitython2022 - Enpulse challenge.

Demo MVP

Challenge

Todays BEV charging lacks communication between driver/customer and charge point operator (CPO).

If we would know the goals the driver has by time of connecting to our charging point, we could optimize our energy dispatch for the charging session.

Goals

  • integrate local generation (eq. photovoltaics) into tariffs
  • reduce scope2 greenhouse gas emissions for customers
  • ensure regulatory compliance
  • consult clients using data driving transparency
  • expedite adoption of eMobility by providing state of the art CX

Installation

npm install --save corrently-charge

Configuration

Either as .env or during instanciation

Setting Description
SOLAR_PREDICTION URL to the solar prediction API to use
GSI_PREDICTION URL to the Green Power Index API to use
localPrice Price per kwh for local energy (eq. solar)
gridPrice Price per kwh for energy from grid

Limitations

  • Does not respect none-linear maxpower
  • Does not respect reactive power in low power charging conditions

Maintainer / Imprint

STROMDAO GmbH
Gerhard Weiser Ring 29
69256 Mauer
Germany

+49 6226 968 009 0

[email protected]

Handelsregister: HRB 728691 (Amtsgericht Mannheim)

LICENSE

MIT

corrently-charge's People

Contributors

zoernert avatar

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