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Canary Wharf set to get Smart & reduce carbon footprint

Cognicity Challenge winner, SEaB Energy, to pilot smart city technology.

By CBR Staff Writer

Chilworth-based smart city innovator, EaB Energy, has commenced work on a pilot waste-to-energy technology at Canary Wharf.

EaB Energy won £50,000 during the second phase of the Cognicity Challenge, chosing then to pilot its smartcity technology at Canary Wharf.

SEaB Energy has developed a micro power plant that turns food and organic waste into heat, energy and water directly on-site where the waste is produced.

The technology claims to cut down the carbon footprint of the site, as well as eliminate the need to transport food waste to distant processing plants.

The Cognicity Challenge programme is designed and delivered by global innovation and economy enabler ENTIQ for the Canary Wharf Group (CWG).

SEaB Energy CEO Sandra Sassow said, "Showcasing our game-changing technology, right in the heart of the capital, will allow us to demonstrate to businesses that their waste can be transformed into revenue and carbon offsets, even where space is at a premium.

"Not only does this make sound commercial sense but it also helps meet their sustainability objectives and lower target emissions for new developments."

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Another winner of the challenge was Demand Logic, which developed a web system that monitors and controls non-essential electrical outputs and helps organisations reduce their electricity usage.

In the competition, SEaB Energy won the ‘Integrated Resource Management’ challenge and Demand Logic won the ‘Automated Building Management’ challenge.

ENTIQ managing director Eric Van said: "SEaB Energy and Demand Logic are two truly worthy winners.

"By bringing together industry-leading experts and key figures from CWG, we can really help these firms to develop, tailor and deliver their solutions — creating an authentic, lasting impact on the Canary Wharf estate and beyond."

According to CWG, the programme aims to showcase how multiple solutions can work together through Big Data and the Internet of Things.

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