Best Hair Dryers UK: Philips 5000 Series Comparison
A research-based comparison of Philips 5000 Series hair dryers, focusing on power, ThermoShield, ionic-care specifications and styling controls.
Disclosure: As an Amazon Associate I earn from qualifying purchases. Amazon links in this guide are paid/affiliate links. This article is based on editorial research of manufacturer-published specifications; HUNIL does not claim hands-on testing unless explicitly stated.
Hair dryers can look similar, but power, temperature control, attachments and airflow design can suit different routines. This research-based shortlist contains the two Philips 5000 Series options currently verified in HUNIL.
At a glance
| Model | Power | Key feature | Best fit |
|---|---|---|---|
| Philips BHD512/00 | 2300W | ThermoShield, ionic care | Higher-power everyday drying |
| Philips BHD500/00 | 2100W | ThermoShield | Simpler 5000 Series option |
Philips 5000 Series BHD512/00
Useful for: buyers prioritising powerful airflow with temperature management.
Philips specifies 2300W, ThermoShield technology, ionic care, three heat settings and two speed settings. Check the current retailer listing for the exact included attachments and specification before ordering.
- Pros: 2300W headline power; ThermoShield; multiple heat and speed combinations.
- Consider: manufacturer heat-protection claims are not independent HUNIL testing.
Philips 5000 Series BHD500/00
Useful for: buyers wanting a simpler 5000 Series specification.
Philips lists this model at 2100W with ThermoShield and multiple heat/speed settings. It keeps the core temperature-management idea with a lower headline wattage than the BHD512/00.
- Pros: ThermoShield; straightforward controls; 2100W specification.
- Consider: compare attachments and exact retailer-listed variant before buying.
What to check before buying a hair dryer
Compare heat and speed control, included concentrators or diffusers, weight, cable length and how the dryer fits your hair type and styling routine. Higher wattage does not automatically make one model better for every user.