EDNA’s work in this area is strongly focused on network standby energy. Network standby energy is the energy used by a connected device when not performing its primary function, but maintaining a network connection. By 2030 it is estimated that 300 TWh per annum could be wasted by network standby energy globally, which is the same as the current Global Network 2030 electricity consumption of the UK.
EDNA’s Total Energy Model models the energy consumption of connected devices (network standby power).
The following tasks are proposed for this workstream, and links to reports and policy briefs will appear here as they are published (those marked with an asterisk are underway):
- *CD1. Energy efficiency of home energy storage systems
EDNA’s previous work in this area includes the following:
|
Task ID |
Title | Publications |
| Total energy model | Model 2021 | |
| The wasted energy of connected devices | Policy brief 2020 | |
|
27 |
Standardisation for Smart Devices | Report 2022 |
|
25 |
Emerging Battery Technologies | Report 2022 |
|
24 |
Mobile Device Efficiency | Report 2022 |
|
20 |
Small Network Equipment: Consideration for Energy Efficiency Policy | Report 2021 |
|
13 |
Global Forecast of Energy Use for Wireless Charging | Report 2019 |
|
12 |
Bridging the Network Standby Gap between Mobile and Mains-Powered Products | Report 2019 |
|
11 |
Test Procedures for Measuring Network Standby Power | Report 2019 |
|
10 |
Getting to Zero: an Evaluation of Zero Network Standby Power | Report 2019 |
|
6 |
Energy Harvesting technologies for IoT Edge Devices | Report 2018 |
|
5 |
Network Standby Power Basics | Report 2018 |
|
2 |
Energy Efficiency of the Internet of Things | Report 2016 |
|
1 |
Own Energy Consumption of Smart Metering Infrastructure and Energy Monitoring Systems | Report 2016 |
| Networked connected audio products | Report 2016 | |
| Energy Aware Devices | Report 2016 | |
| Standby Consumption Measurements | Report 2017 | |
| More Data, Less Energy: Addressing Energy Waste in Networks | Policy Brief 2014 | |
| Indicative Testing of Smart Lamps | Report 2014 |
