TY - GEN
T1 - Corridor Scale Planning of Bunker Infrastructure for Zero-Emission Energy Sources in Inland Waterway Transport
AU - Jiang, M.
AU - Baart, F.
AU - Visser, K.
AU - Hekkenberg, R.G.
AU - van Koningsveld, M.
PY - 2023
Y1 - 2023
N2 - The availability of supporting bunker infrastructure for zero-emission energy sources will be key to accommodate zero-emission inland waterway transport (IWT). However, it remains unclear which (mix of) zero-emission energy sources to prepare for, and how to plan the bunker infrastructure in relative positions and required capacity at corridor scale. To provide insight into the positioning and dimensions of bunkering infrastructure we propose a bottom-up energy consumption method combined with agent based network simulation. In the method, we first produce a two-way traffic energy consumption map, aggregated from the energy footprint of individual vessels on the transport network. Next we investigate the potential sailing range of the vessels on the network if they would sail the same routes, but with alternative energy carriers. Based on the sailing range of the vessels for different energy carriers, the maximum inter-distance between refuelling points can be estimated. By aggregating the energy consumptions of all the vessels on the network, we can estimate the required capacity of a given refuelling point. To demonstrate the basic functionality we implement the method to four representative corridor scale inland shipping examples using zero-emission energy sources including hydrogen, batteries, e-NH3, e-methanol and e-LNG. The application in this paper is limited to four abstract cases. A recommended next step is to apply this approach to a more realistic network.
AB - The availability of supporting bunker infrastructure for zero-emission energy sources will be key to accommodate zero-emission inland waterway transport (IWT). However, it remains unclear which (mix of) zero-emission energy sources to prepare for, and how to plan the bunker infrastructure in relative positions and required capacity at corridor scale. To provide insight into the positioning and dimensions of bunkering infrastructure we propose a bottom-up energy consumption method combined with agent based network simulation. In the method, we first produce a two-way traffic energy consumption map, aggregated from the energy footprint of individual vessels on the transport network. Next we investigate the potential sailing range of the vessels on the network if they would sail the same routes, but with alternative energy carriers. Based on the sailing range of the vessels for different energy carriers, the maximum inter-distance between refuelling points can be estimated. By aggregating the energy consumptions of all the vessels on the network, we can estimate the required capacity of a given refuelling point. To demonstrate the basic functionality we implement the method to four representative corridor scale inland shipping examples using zero-emission energy sources including hydrogen, batteries, e-NH3, e-methanol and e-LNG. The application in this paper is limited to four abstract cases. A recommended next step is to apply this approach to a more realistic network.
KW - Inland waterway transport
KW - Zero-emission
KW - Bunkering infrastructure
KW - Sustainable energy sources
KW - Energy consumption
UR - http://www.scopus.com/inward/record.url?scp=85149631660&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-6138-0_30
DO - 10.1007/978-981-19-6138-0_30
M3 - Conference contribution
SN - 978-981-19-6137-3
T3 - Lecture Notes in Civil Engineering
SP - 334
EP - 345
BT - Proceedings of PIANC Smart Rivers 2022 - Green Waterways and Sustainable Navigations
A2 - Li, Yun
A2 - Hu, Yaan
A2 - Rigo, Philippe
A2 - Lefler, Francisco Esteban
A2 - Zhao, Gensheng
PB - Springer
T2 - PIANC Smart Rivers 2022
Y2 - 18 October 2022 through 21 October 2022
ER -