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Dashboard for an E3/DC Home Power Station

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Dashboard for an E3/DC Home Power Station

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The dashboard visualizes data from a home power station by subscribing to MQTT topics published by rscp2mqtt.

Dashboard

Docker

Instead of installing the package, you can simply use an existing Docker image.

Prerequisites

  • a running rscp2mqtt instance (https://github.com/pvtom/rscp2mqtt), v3.8 or higher
  • an existing MQTT broker (TLS is supported)
  • an installation of Node-RED (https://nodered.org) including the modules "node-red-dashboard" and "node-red-contrib-aggregator" or
  • a Docker environment on your system

Installation of the package

Please follow the installation steps on the Node-RED homepage.

Load the flow

Import the file dashboard_flow.json, adjust the broker settings in one of the mqtt nodes and deploy the changes

or

set the parameters as environment variables and start the prepare script (i.e. with bash):

export MQTT_BROKER="localhost"
export TOPIC_PREFIX="e3dc"

cp -a flows.json.template flows.json

./prepare.sh flows.json

afterwards import flows.json into NODE-RED.

These MQTT parameters are available:

  • MQTT_BROKER
  • MQTT_PORT
  • MQTT_CLIENT_ID
  • MQTT_USER
  • MQTT_PASSWORD
  • MQTT_USETLS
  • MQTT_EMPTY_TLS_OBJ
  • MQTT_TLS_CERT
  • MQTT_TLS_KEY
  • MQTT_TLS_CA
  • MQTT_TLS_CERTNAME
  • MQTT_TLS_KEYNAME
  • MQTT_TLS_CANAME
  • MQTT_TLS_SERVERNAME
  • MQTT_TLS_VERIFYSERVERCERT
  • MQTT_TLS_ALPNPROTOCOL
  • TOPIC_PREFIX

Value ranges can be adjusted with the following parameters:

  • MAX_SOLAR_POWER
  • MAX_HOME_POWER
  • MAX_GRID_POWER
  • MAX_BATTERY_POWER
  • MAX_STRING_POWER
  • MAX_PHASE_POWER
  • MAX_BATTERY_RESERVE
  • MAX_WALLBOX_POWER

Wallbox

  • WALLBOX (true/false)
  • WALLBOX_NAME
  • WALLBOX_TOPIC

Use these parameters (1 to 8) to set the order in which the UI elements are arranged:

  • UI_ORDER_1_PHOTOVOLTAICS
  • UI_ORDER_2_POWER_DIAGRAM
  • UI_ORDER_3_PM
  • UI_ORDER_4_PVI
  • UI_ORDER_5_CHARTS
  • UI_ORDER_6_ANNUAL
  • UI_ORDER_7_SETTINGS
  • UI_ORDER_8_LIMITER

Access the dashboard

The dashboard will be accessible at http://<your_node_red_host>:1880/ui

The chart data is collected over the next 24 hours.