Sustainable Home with Samsung Appliances | Samsung New Zealand

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Smart energy
optimisation and
savings

Meet Samsung's unique features
to intelligently minimise
your energy consumption

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There is a Samsung Bespoke refrigerator, washer, dryer, dishwasher and air conditioner in a sunlit kitchen, next to a window with views of trees.

There is a Samsung Bespoke refrigerator, washer, dryer, dishwasher and air conditioner in a sunlit kitchen, next to a window with views of trees.

Saving on device

Optimised energy saving per device

Save maximum energy per device through AI Energy Mode

There is a phone with the SmartThings Energy tab on screen. 27.41 kWh saving equals to 14.6% with AI Energy mode and the total usage is 187.56 kWh. The room air conditioner uses the most energy, followed by the TV, then the fridge. The AI Energy mode is on, there are three saving options; Maximum saving, Carbon Intensity and Custom. Carbon intensity is selected. Also Devices can be selected; Room air conditioner, TV, Refrigerator and Dryer. All devices are selected. 'Upgrade' icon is above the phone.

Integrated monitoring & Energy calculator

One-stop monitoring of energy/carbon

Carbon emission reduced by 4.99kg from our home this month
Calculate how much you can save with AI Energy Mode

There is a phone with the SmartThings Energy tab on screen. Energy usage cost this month is $29.94 saving equals to $5.48 with AI Energy mode. The Monitor tab is selected from the bottom menu. With carbon intensity aware mode, carbon emissions and today's carbon intensity could be noticed. 'Upgrade' and 'New' icons are above the phone.

Personalised/
Automated Saving

Automated peak-hour saving & tips

It's peak-hour now
Resuming charging the robot vac when peak-hour is over

There is a phone with SmartThings Optimal Charging tab on screen. It is turned on and the off-peak charging from the options reveals peak time settings. Pressing carbon aware charging option is selected. A bar below shows the distribution of hourly carbon aware charging for selected devices. 'New' icon is above the phone.

Refrigerators

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Washers

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Dryers

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Dishwashers

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20-year Durability / Sustainability

20-year Warranty on Digital Inverter Motor and Compressor

Samsung offers outstanding durability with a 20 year warranty on the Digital Inverter Motor and Digital Inverter Compressor. This can help you use your appliances for longer.

There is a digital inverter motor at the left side. A '20-year warranty on Digital Inverter Motor' badge is at the top. Next to it, there is a digital inverter compressor. A '20-year warranty on Digital Inverter Compressor' badge is at the top right.

There is a digital inverter motor at the left side. A '20-year warranty on Digital Inverter Motor' badge is at the top. Next to it, there is a digital inverter compressor. A '20-year warranty on Digital Inverter Compressor' badge is at the top right.

Sustainability

The ultimate aim of our sustainability efforts, seeks to help our customers join in our journey to contribute to more sustainable future of our planet through everyday activities.

There is a Samsung Bespoke refrigerator installed in a colorful, modern kitchen.

There is a Samsung Bespoke refrigerator installed in a colorful, modern kitchen.

*SmartThings compatible devices may vary by region. This function may differ by mobile and OS(Operation System). Each device must be connected to Wi-Fi or other wireless network. Download and installation of SmartThings app are required. Samsung Account required. For interoperability through SmartThings, all the devices should be registered with a single Samsung Account. Apps and services are subject to change without notice. Data, subscription and other charges may apply.

*20-year Warranty on Digital Inverter Motor and Compressor” – *Parts only. All labour and other costs are excluded.

Only available for smart appliances that are compatible with SmartThings. The SmartThings App is available on Android and iOS devices. A Wi-Fi connection and a Samsung account are required.
Saving on Device utilises AI (based on deep learning models).