NEMOSHIP: New Modular Electrical Architecture & Digital Platform to optimize large battery systems on ships

- Start: 01/01/2023
- End: 30/12/2026
- Budget: €11.284.796
- EU contribution: €7.870.268


The NEMOSHIP consortium is composed of eleven partners from six countries and covers the whole value chain, from research-oriented organisations to software developers, energy system designers, integrators, naval architects and end-users. Each partner involved in the consortium is a scientific or market leader in its own field of expertise.

Corvus Energy (Norway)
- Elkon (Turkey)
- Equinor (Norway)
- In Extenso Innovation Croissance (France)
- Ponant (France) - SDI (France)
- Siemens Software (Romania)
- Solstad Offshore (Norway),
- CEA (France)
- CIDETEC (Spain)
- VUB (Belgium)


The project:

The ambition of the NEMOSHIP project is to develop, test and demonstrate new innovative technologies, methodologies and guidelines in order to better optimise large battery electric power within hybrid and fully electric ships. The project will act as a key enabler for the new co-programmed European Partnership Zero Emission Waterborne Transport (ZEWT) roadmap to reach IMO objectives about reduction of GHG emissions from waterborne transport by 2030 and 2050. Our consortium reviewed during the meeting the outcomes planned to reach this ambition:

- Develop two main innovative solutions: a modular and standardised battery energy storage solution enabling to exploit heterogeneous storage units, and a cloud-based digital platform enabling a data-driven optimal and safe exploitation.
- Demonstrate these innovations at TRL 7 maturity for hybrid ships and their adaptability for full electric ships thanks to a hybrid Offshore Service Vessel (diesel/electric propulsion), a hybrid cruise vessel (LNG/electric propulsion), and a semi-virtual demonstration for two additional full-electric vessels such as ferries and short-sea shipping.

CIDETEC'S role in the project:

Cidetec will contribute with their knowledge on lessons learnt from decisions in other mature markets such as mobility and stationary applications, so as to take advantage of the strengths in those markets.

Cidetec will develop of a SW (tool) for dimensioning the battery system (the algorithms code will be in black box mode) and their knowledge on EMS strategies, predictive maintenance and diagnostic approaches.

Cidetec will adapt the BMS algorithms providing SoX and thermal data for an efficient use of the batteries.