{"refrec":{"BRefID":435550,"RR":"<b>Hanssens, L.; Houlleberghs, M.; Van Acker, K.; Martens, J.A.; Breynaert, E.</b> (2025). Interactive framework for techno-economic meta-analysis of marine hydrogen transportation. <i>International Journal of Hydrogen Energy 165</i>: 150863. <a href=\"https://dx.doi.org/10.1016/j.ijhydene.2025.150863\" target=\"_blank\">https://dx.doi.org/10.1016/j.ijhydene.2025.150863</a>","BEntID":433380,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>International Journal of Hydrogen Energy 165</i>: 150863. <a href=\"https://dx.doi.org/10.1016/j.ijhydene.2025.150863\" target=\"_blank\">https://dx.doi.org/10.1016/j.ijhydene.2025.150863</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Hanssens, L.; Houlleberghs, M.; Van Acker, K.; Martens, J.A.; Breynaert, E.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Hanssens, L. <i>et al.</i>","Englishabstract":"As a result of the wide span of uncertainties and input variables considered in recent peer-reviewed studies on hydrogen supply chains, consensus and generalized insight are hard to derive. This work presents a meta-analysis model, building upon a growing database of literature cost estimations and enabling dynamic investigation and comparison of hydrogen transportation chains under varying input scenarios. Also built into the framework is the evaluation of the impact of costing methodology and shipping fuel type. A convenient online interface allows to leverage increasing amounts of underlying cost data and assists users in gaining insight into generalized cost dynamics attributes. The method and toolbox are demonstrated via in-depth analysis of compressed hydrogen (GH<sub>2</sub>), liquefied hydrogen (LH<sub>2</sub>), dibenzyltoluene (LOHC) and ammonia as hydrogen carriers. 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