Energykit: iPhone apps should learn to use green electricity

The power grid delivers a different electricity mix at different times. Depending on the weather or occupancy, it can be green energy from wind, sun or hydropower, but sometimes rather dirty electricity of coal and natural gas. In the United States, Apple has therefore already integrated a function with iOS 16 within Apple Home that output predictions for the local power grid to the users: the so -called Grid Forecast. In this way, users should load their device with the most climate -friendly energy. With the new framework Energy kit This type of power grid monitoring now also comes directly in apps from developers.

Like Apple at the WWDC 2025 developer conference announcedit should be possible for the first time to help their users “optimize electricity use”. This could help people to operate their “household appliances or charge electric vehicles if the current is cleaner and cheaper,” writes Apple. Energy kit can also be used to generate individual loading calendars.

Apple for the first time goes beyond the previous electricity grid predictions, which so far only existed in the home application that is part of iOS. In a first step, energy kit should be integrable in apps for controlling e-car charging infrastructures and smart thermostats (when heating and cooling with electricity). To do this, the user specifies his respective location so that Apple sends its Grid Forecast data to the app. This then outputs how green the current energy supply is and can, if necessary, automatically make adjustments.

So far it is unclear whether and when Apple also brings the power grid forecast to Europe. The data is also only a forecast, so it does not necessarily have to fit the current real conditions. Apple is nevertheless convinced that customers can act more climate -friendly.

In addition to the introduction of energy kit for apps, the energy management in the home app itself is also improved so that users can react faster if necessary. With iOS 26 you can display the average electricity consumption and the current electricity price phase in the future, provided there are data sources.


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