REEFERPULSE

Gallery REEFERPULSE 1
Gallery REEFERPULSE 1
April 2020
Headquarters 75008 Paris, France
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REEFERPULSE - A predictive maintenance solution, able to detect reefer (refrigerated containers) issues and to save food and energy wasted during maritime shipping.

Reeferpulse is an Artificial Intelligence and Machine Learning based solution, able to predict Reefer energy and detect future problems from maritime IoT data stream.

Reeferpulse can predict energy use with ±1% error rate, for any reefers traveling the world. Its analytics run on any IoT available (T°, GPS and energy) and it does not rely on a specific hardware implementation, making this technology ubiquitous for all IoT services currently in operation. Furthermore, Reeferpulse’s technology includes Machine Learning in order to adapt to any systems / any cooling technology, and learn quickly without human supervision.

Key features

  • For each unit (reefer), the solution burns 0g of CO² per year and use up to 1 kWh/year.
  • It saves up to 2% of heavy fuel burnt by reefer electric usage on boat ships
  • 89kg CO² saved per year and per reefer.

Profitability

  • Solution saves $100 to $150/year/reefer (i.e., $0.5 to $0.7billion/year)
  • It also helps save billions in wasted food and fuel every year.
  • Payback is immediate: the solution will be paid in full by insurance savings.

Activity Region

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  • Headquarters
  • Activity

The information set out above, is solely for the purposes of information and the Solar Impulse Foundation does not provide any guarantee as to its authenticity, completeness or accuracy. This information does not constitute investment advice or a recommendation to buy into, transact or to enter into any agreement with any of the parties or persons mentioned above. Potential investors or interested parties are solely responsible for their investment or business decisions and for performing any due diligence required by the circumstances.