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Nous E9 in Home Assistant

Smoke & safety · Zigbee · Household combustible gas detector

Zigbee2MQTT Quirk included in ZHA 1 open report

This device is known to both Zigbee integrations: Zigbee2MQTT has a definition for it, and ZHA has a quirk that adapts it.

Facts about this device

Brand
Nous
Model
E9
Device type
Smoke & safety
Radio
Zigbee
Reports itself as
_TZE204_qvxrkeif
Zigbee2MQTT
Device page on zigbee2mqtt.io

How the device gets into Home Assistant

  • official ZHA – with a Zigbee coordinator and the ZHA integration; the quirk the device needs is part of ZHA. Integration
  • add-on Zigbee2MQTT – Zigbee2MQTT runs as an add-on and passes the device on to Home Assistant over MQTT. Integration · Source

Known problems and fixes

Open problems

  • open A bug report notes that a gas detector's binary sensor shows an incorrect 'Problem' state when it's healthy, which would be corrected to display accurate status. since June 10, 2026 · zha-device-handlers #5079

Changes proposed for ZHA

  • pull request A pull request proposes to correct the inverted lifecycle sensor behavior for the NOUS E9 gas detector, ensuring accurate gas detection alerts. since October 29, 2026 · zha-device-handlers #5610

ZHA quirks for this device

Quirk included in ZHA Recommended quirk

Part of ZHA – Home Assistant uses it on its own, nothing to install.

Adds: CO concentration Self test result Mute siren Preheat Fault alarm Lifecycle Self test Silence alarm % Lower explosive limit Alarm ringtone +3

Source: zha-device-handlers · since zha-quirks 2.2.2
Signature: _TZE204_qvxrkeif / TS0601

3 more quirks for this device

All quirks in the ZHA quirk database →

Alternatives

The same job from other makers – devices of the same type and radio that work with Home Assistant too.

Sources: Zigbee2MQTT, ZHA quirks, Z-Wave JS, the Matter certification database, Shelly, ESPHome, Tasmota, Tuya Local and the issue trackers on GitHub. Reports are assigned to a device by the identifiers they contain; the sentences come from the integration pages, where a language model writes them from the titles.

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