Advice on AEG dryers

In dryers from the 9000 and 8000 series, your laundry stays like new for longer. That's because the dryers adjust the drum movement to the type of laundry. The 9000 series even goes one step further, because the dryer measures where your laundry is the most damp and adjusts the heat distribution accordingly. Thanks to this, each load of laundry dries evenly without you having to sort beforehand. Read more on both series.

If you want your new AEG dryer to save energy and protect all types of laundry, a dryer from the 8000 series or higher is the most suitable. A dryer from the 7000 series dries at a low temperature, but doesn't adjust the drum movement to the type of laundry. In the article below, you'll find all the differences between the AEG 8000 and 7000 dryers.

The big difference between the AEG 6000 dryers and dryers from the 7000 series is not the filling weight, but the technology and energy consumption. An AEG 7000 dryer dries your clothes at a lower temperature, making your clothes less likely to be damaged; it stays beautiful even longer. In addition, the series is energy efficient. View all differences between the series.

AEG dryers have different technologies for drying your laundry. AbsoluteCare Plus measures the damp spots on your laundry and adjusts the heat distribution accordingly. This way, the laundry comes out dry without having to sort it beforehand. Do you have a lot of delicate clothes? Dryers with AbsoluteCare adjust the drum movement to the type of fabric, so your woolen sweater stays beautiful for a long time. Are you environmentally conscious? ProSense adjusts the washing and drying time on your laundry, so the dryer is more energy-efficient.

To help you make your choice, our dryer experts have tested various AEG dryers. You can find their findings in the expert reviews below. We give our opinion on the most important aspects of the AEG dryers, such as the drying result and maintenance. Based on all the pros and cons, we state to whom we recommend the dryer and to whom not. This way, you know what to expect from a specific model.