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ABB revolutionises maritime safety with smart sensor tech

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ABB revolutionises maritime safety with smart sensor tech
ABB will deliver 1,500 NINVA non-invasive temperature sensors, approved for marine use, to Swedish company eMarine, which focuses on enhancing efficiency and sustainability in the maritime industry.

This delivery marks the introduction of ABB’s NINVA technology to the global marine sector.

The sensors will complement eMarine’s advanced energy management solutions already deployed on major cruise and cargo vessels worldwide.

The data from these innovative sensors will be crucial for optimising heat recovery and managing cooling water and ventilation systems onboard ships.

This will lead to lower fuel consumption, measurable energy savings, and reduced CO2 emissions.

Designed to withstand vibrations up to 4g, the sensors handle the demanding conditions of marine operations while maintaining the accuracy of invasive thermowells but without needing to perforate pipe walls.

READ: Wallenius, KNUD E. HANSEN unveil powerful RoRo concept

ABB’s clamp-on, non-invasive temperature sensing simplifies measurement by removing the need for pipe perforation, thereby eliminating leak risks.

By using the pipe surface temperature to infer process temperature, NINVA delivers accuracy and performance equivalent to invasive devices.

Ola Persson, CEO of eMarine, said: “At eMarine, we are committed to delivering high-quality, innovative solutions that help our customers achieve real and lasting energy savings. By partnering with ABB and integrating NINVA, we can provide the maritime industry with smarter tools to accelerate decarbonisation.”

Dr Guruprasad Sosale of ABB’s Measurement & Analytics division, stated: “For some time, we have delivered safer and simpler temperature measurement for applications in the chemical, oil and gas, and other industries. This is the first time we are bringing the benefits of NINVA to the global marine industry, helping to drive decarbonisation in the sector.”

Recently, a pioneering project funded by the Defence and Security Accelerator (DASA) and led by Plymouth-based Marine AI aimed to enable natural language communication between uncrewed surface vessels (USVs) and crewed ships.

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