Coppitters, Diederik
[UCL]
Verleysen, Kevin
[UCL]
De Paepe, Ward
[UMONS]
Contino, Francesco
[UCL]
Heavy-duty transport represents nearly 6% of the greenhouse gas emissions in Europe. Renewable hydrogen is a potential option to decarbonize heavy-duty transport, such as buses. Renewable hydrogen for buses promises excellent environmental performance, at the expense of a higher fuel cost, as opposed to a diesel-powered bus fleet. Despite the inherent uncertainty, feasibility studies in this framework generally assume deterministic techno-economic and environmental parameters, which can lead to a suboptimal performance that is sensitive to the random environment. To provide robust design alternatives, we applied robust design optimization on a wind- and solar-powered hydrogen refueling system and a hydrogen- and diesel-powered bus fleet, to optimize the Levelized Cost Of Driving (LCOD) and Carbon Intensity (CI), subject to technical, economic and environmental uncertainties. A fully diesel-powered bus fleet achieves the optimized LCOD mean of 1.24 €/km, but it results in the worst LCOD standard deviation (0.11 €/km), CI mean (1.33 kg˙CO2,eq /km) and CI standard deviation (0.075 kgCO2,eq /km) among the optimized designs. To reduce the LCOD standard deviation, CI mean and CI standard deviation, part of the diesel-powered bus fleet is converted into hydrogen-powered buses and the renewable-powered hydrogen refueling station is scaled accordingly. Converting 54 % of the diesel-powered bus fleet into hydrogen-powered buses results in a decrease in LCOD standard deviation by 36 %, a decrease in CI mean by 46% and a decrease in CI standard deviation by 51%, at the expense of an increase in LCOD mean by only 11 %. Future work will focus on the integration of full-electric buses.
Bibliographic reference |
Coppitters, Diederik ; Verleysen, Kevin ; De Paepe, Ward ; Contino, Francesco. How can renewable hydrogen compete with diesel in public transport? Robust design optimization of a hydrogen refueling station under techno-economic and environmental uncertainty. In: Applied Energy, Vol. 312, no., p. 118694 (2022) |
Permanent URL |
http://hdl.handle.net/2078.1/259077 |