PIANC Smart Rivers 2022

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Abstract : *(250~1000 words)

The goal of the Paris agreement is to limit global warming to well below 2, but ideally below 1.5 degrees Celsius. Drastic emission reduction at a global scale is instrumental to achieve this goal. Participating countries must specify their Nationally Determined Contributions (NDCs), and in this context various Green Deals are put in place. Recurring Conferences of the Parties (COPs) are organized to sharpen agreed reduction targets and pressure countries and economic sectors to contribute. Inland Water Transport (IWT) is one of these sectors. 
The availability of supporting infrastructure will be key to accommodate zero-emission shipping and safeguard the competitiveness of IWT as a whole. But how can we determine what alternative energy source(s) to prepare for? And how can we approach corridor scale planning of the required bunker infrastructure?
In this contribution we propose a bottom-up energy consumption estimation method combined with agent based network simulation. This allow us to produce energy consumption maps of the transport network at hand. A network scale energy consumption map, aggregated from the energy footprint of individual vessels, allows us to estimate a maximum inter-distance between refueling stations and the order of magnitude required total capacity per station.  We show how the method works for hydrogen, ammonia, batteries, and e-fuels, and mixes thereof.
We demonstrate the applicability of the method for the Dutch inland waterway network. Main reason for this is the convenient availability of data. However, we believe that the method is applicable to other countries as well. Proper quantification of the positioning and dimensioning of bunkering infrastructure will be key for a successful transition to zero-emission shipping.

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