Smart Thermostats

Manufacturer

Google LLC

Brand Name

Google Nest

Model Number

T3###**

Qualifying Entity

ENERGY STAR®

Additional Model Info

T3007ES ,T3007EF, T3016US, T3018US, T3017US, T3021US, T3032US, T3019US, T3050US, T3051US, T3019CA, T3016CA, T3017CA , T3032CA, T3024US, T3025US, T3026US, T3027US, T3008US

Notes

Date Available on Market

9/1/2015

Date Qualified

12/3/2019

Purchase By Date (Date Delisted)

Model Name

Google Nest Learning Thermostat

Kit Model Number 1

Extended Properties

Use CTRL-F to search for a property or value.

Energy Star Partner

Google LLC

Brand Name

Google Nest

Model Name

Google Nest Learning Thermostat

Model Number

T3###**

Additional Model Information

Date Available on Market

9/1/2015

Date Qualified

12/3/2019

Markets

United States, Canada

Energy Star Model Identifier

ES_1073133_T3###**_12032019181951_7191676

Pd Id

2350650

Upc

10813917021948;10813917022129;813917020203;813917020210;813917020227;813917021033;813917021040;813917022023;813917022030;813917022054;813917022061;854448003860;854448003877;854448003884

Ct Device Brand Owner

Google LLC

Ct Device Brand Name

Google Nest

Ct Device Model Name

Google Nest Learning Thermostat

Ct Device Model Number

T3###**

Additional Ct Device Model Numbers

T3007ES ,T3007EF, T3016US, T3018US, T3017US, T3021US, T3032US, T3019US, T3050US, T3051US, T3019CA, T3016CA, T3017CA , T3032CA, T3024US, T3025US, T3026US, T3027US, T3008US

Family Id

Static Temperature Accuracy

0.27

Network Standby Average Power Consumption

0.06

Time to Enter Network Standby After User Interaction

50

Ct Product Heating and Cooling Control Features

External Temperature Detection,Geofencing (User Device Based),Humidity Sensing,Occupancy Sensor on Device

Other Heating and Cooling Control Features

Ct Device Communication Method

Wi-Fi

Communication Method Other

Demand Response Summary

Google Nest thermostats support a variety of Demand Response (DR) services, including dispatchable peak load management, and emergency (fast-response) dispatch. Nest offers a comprehensive DR solution in which Nest?s cloud-based server acts as an OpenADR-compliant ?Virtual End Node? for a DR signal from a Load Management Entity, and upon receipt of that signal executes customized DR algorithms on each participating device (as a ?Virtual Top Node?). Devices can be grouped at the discretion of the Load Management Entity for locational dispatch. An API is available for direct integration with popular Demand Response Management Systems for dispatch. Comprehensive aggregated reporting is provided to the Load Management Entity for measurement and verification purposes, including load reduction estimates and the impact of device adjustments by interval. Google Nest?s DR solutions are specifically designed to optimize participant satisfaction through the use of pre-conditioning (where applicable) and personalized schedule adjustments to ensure occupant comfort by limiting deviations from scheduled setpoints. In addition, the user can opt out any time. The algorithms are regularly updated and enhanced based on operational experience and user feedback.

Demand Response Product Variations

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  "energy_star_partner": "Google LLC",
  "brand_name": "Google Nest",
  "model_name": "Google Nest Learning Thermostat",
  "model_number": "T3###**",
  "additional_model_information": "",
  "date_available_on_market": "2015-09-01T00:00:00",
  "date_qualified": "2019-12-03T00:00:00",
  "markets": "United States, Canada",
  "energy_star_model_identifier": "ES_1073133_T3###**_12032019181951_7191676",
  "pd_id": "2350650",
  "upc": "10813917021948;10813917022129;813917020203;813917020210;813917020227;813917021033;813917021040;813917022023;813917022030;813917022054;813917022061;854448003860;854448003877;854448003884",
  "ct_device_brand_owner": "Google LLC",
  "ct_device_brand_name": "Google Nest",
  "ct_device_model_name": "Google Nest Learning Thermostat",
  "ct_device_model_number": "T3###**",
  "additional_ct_device_model_numbers": "T3007ES ,T3007EF, T3016US, T3018US, T3017US, T3021US, T3032US, T3019US, T3050US, T3051US, T3019CA, T3016CA, T3017CA , T3032CA, T3024US, T3025US, T3026US, T3027US, T3008US",
  "family_id": "",
  "static_temperature_accuracy": "0.27",
  "network_standby_average_power_consumption": "0.06",
  "time_to_enter_network_standby_after_user_interaction": "50",
  "ct_product_heating_and_cooling_control_features": "External Temperature Detection,Geofencing (User Device Based),Humidity Sensing,Occupancy Sensor on Device",
  "other_heating_and_cooling_control_features": "",
  "ct_device_communication_method": "Wi-Fi",
  "communication_method_other": "",
  "demand_response_summary": "Google Nest thermostats support a variety of Demand Response (DR) services, including dispatchable peak load management, and emergency (fast-response) dispatch. Nest offers a comprehensive DR solution in which Nest?s cloud-based server acts as an OpenADR-compliant ?Virtual End Node? for a DR signal from a Load Management Entity, and upon receipt of that signal executes customized DR algorithms on each participating device (as a ?Virtual Top Node?). Devices can be grouped at the discretion of the Load Management Entity for locational dispatch. An API is available for direct integration with popular Demand Response Management Systems for dispatch. Comprehensive aggregated reporting is provided to the Load Management Entity for measurement and verification purposes, including load reduction estimates and the impact of device adjustments by interval. Google Nest?s DR solutions are specifically designed to optimize participant satisfaction through the use of pre-conditioning (where applicable) and personalized schedule adjustments to ensure occupant comfort by limiting deviations from scheduled setpoints. In addition, the user can opt out any time. The algorithms are regularly updated and enhanced based on operational experience and user feedback.",
  "demand_response_product_variations": ""
}