Szczegóły publikacji
Opis bibliograficzny
Preliminary analysis of the hydrogen refuelling station location problem in rail transport / Katarzyna GDOWSKA, Roger KSIĄŻEK, Radosław KAPŁAN, Magdalena DUDEK, Andrzej RAŹNIAK // W: The 12th Carpathian Logistics Congress : CLC 2024 : [November 28-29, 2024, Krakow, Poland] / eds. Jerzy Feliks, Radim Lenort, Martin Straka. — Cham : Springer Nature, cop. 2026. — ( EAI/Springer Innovations in Communication and Computing ; ISSN 2522-8595 ). — ISBN: 978-3-032-28930-8; e-ISBN: 978-3-032-28931-5. — S. 211–218. — Bibliogr., Abstr. — Publikacja dostępna online od: 2026-07-31
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169541 |
|---|---|
| Data dodania do BaDAP | 2026-09-21 |
| DOI | 10.1007/978-3-032-28931-5_24 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | EAI/Springer Innovations in Communication and Computing |
Abstract
Locating infrastructure facilities is a strategic, critical, and long-term decision across various sectors, including manufacturing, logistics, and defense. This challenge becomes particularly important when introducing emerging technologies with the potential to transform industries and economies. In the context of rail transport, the adoption of hydrogen propulsion underscores the strategic importance of hydrogen refueling stations (HRS), as the fixed-track network offers limited flexibility for fueling. This paper introduces the Hydrogen Refuelling Station Location Problem in Rail Transport (HRSLPR), inspired by the Economic Order Quantity (EOQ) model, and proposes a preliminary analysis. The approach integrates fuel demand, hydrogen supply conditions, and infrastructure costs into an optimization problem for which a dedicated Mixed-Integer Linear Programming (MILP) model was formulated. The model enables scenario-based analysis, considering both single-period and multi-period perspectives to capture factors such as demand evolution and variability in hydrogen production costs. In this preliminary study, a simplified single-period formulation is presented together with the corresponding MILP model. The framework aims to support decision-makers in assessing the influence of key parameters on hydrogen infrastructure planning, thereby facilitating the efficient integration of hydrogen propulsion into rail networks.
