The INTERREG – Project MariGreen ‚Maritime innovations in green technologies’ will develop innovations for greener and low-emission shipping. By new solutions the contribution of shipping is to reduce climate change and the ship will be further developed as an environmentally friendly transport. MariGreen combines German-Dutch development projects in the period 2015 – 2018 under the objective of “Green Shipping”. The project supports in particular small and medium enterprises at the necessary transition to a more sustainable and sophisticated shipping. MariGreen aims at realizing environmental and transport policy objectives of Germany, the Netherlands and the EU for the shipping sector through cross-border cooperation.
Subproject ‘Plug and Play Energypack‘
A power consumption of less than 700 kW on average characterises many inland or coastal vessels. In this light, a LNG propulsion system at present hardly appears worthwhile for those ships, because the amortization of the comparatively expensive technology is heavily dependent on the LNG consumption. In addition, there is the problem that gas engines cut only moderately well at lower performance in terms of CO2 reduction.
This project, therefore, focuses on the development of a standardized, containerized and cost-effective power supply system in the power range of about 200 to 300 KW to be based on the gas turbine technology. In contrast to the present generation of Otto gas engines, it should have an improved emission profile, a comparable efficiency as Otto gas engines as well as an integral LNG fuel tank.
DST‘s contribution in the project concentrates on issues such as the suitability of the energy system for different types of inland vessels, power requirements, concept development, necessary adjustment measures for the implementation in the ship etc.
Subproject ‚LNG Training technologies‘
Given the growing importance of LNG as a new fuel, the need for appropriate training educational concepts for inland, coastal and maritime shipping is growing. For the shipping companies is in addition to the quality of education with “reasonable safety standards” in particular the practicality, flexibility and efficiency of education in the foreground. Online trainings for the provsion of LNG expertise are so far only limited.
Within the project, therefore, possible applications of blended learning, i.e. linking traditional classroom sessions and e-learning, are determined.Special attention is given to augmented reality technologies as well as to the use of virtual reality glasses (Oculus Rift). In addition, an online knowledge portal for maritime training and retraining shall be developed by nautical staff and the simulation capabilities of LNG bunkering be checked.
DST work is focusing on inland navigation
Subproject ‚Windship Modelling and Voyage Optimization‘
Vessel services are subject to a more restrictive time and resource management. Optimization of routes involving constant and varying constraints allows ‑ depending on the purpose ‑ to improve the timetable reliability, increased energy efficiency and the minimization of adverse operating conditions. Increased comfort, reduced loads and reduced fuel consumption are potential advantages of an optimal route and speed. Available assistance systems take into account only a few effects and influences with some very imprecise models or fail because of the quality and resolution of the connected database, e.g. the temporal and spatial resolution of the weather forecast. Systems that require strong user interaction, do not find the necessary acceptance for widespread use.
A consortium of partners of different orientations plans to develop a corresponding routing system. DST’s work concentrates on a complex modelling of the “ship”system. Appropriate influence paramters like wind direction and speed, tide and ocean stream, seaway and water depth, loading condition and drift are going to be identified. The resulting effects on ship operation will be defined by various experimental, numerical or analytical/empiric approaches. Model tests help to determine basic characteristics and to check by means of superimposed environmental impacts the superposition of the respective modeling.
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