Multi-criteria optimization of photovoltaic-based hydrogen refueling stations under behavioral and financial uncertainty: A case study

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dc.authorid0000-0002-1038-7224
dc.authorid0000-0002-1947-9053
dc.contributor.authorDemirci, Alpaslan
dc.contributor.authorOzturk, Zafer
dc.contributor.authorDagal, Idriss
dc.date.accessioned2026-01-31T15:08:21Z
dc.date.available2026-01-31T15:08:21Z
dc.date.issued2026
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractThe large-scale deployment of hydrogen refueling stations remains critically constrained by renewable intermittency, temporal demand variability, and macroeconomic volatility, which is particularly acute in emerging economies such as T & uuml;rkiye. Existing studies largely rely on static or annual-average demand profiles and seldom capture the effects of high economic uncertainty, including inflation, discount rate fluctuations, and investment risk, on the techno-economic feasibility of hydrogen projects. Unlike conventional approaches, this work develops a behavior-driven, high-resolution microsimulation framework that generates realistic, temporally detailed hydrogen demand profiles synchronized with solar availability, seasonal transitions, and user refueling behavior. A five-dimensional scenario matrix, spanning electrolyzer power, hydrogen storage capacity, photovoltaic capacity and investment cost, and discount rate, enables multi-criteria optimization of the Levelized Cost of Hydrogen (LCOH), self-sufficiency, and carbon footprint under real-world economic uncertainty. Results reveal that na & iuml;ve oversizing strategies drive curtailment above 44% and LCOH beyond 11.8 $/kg, while demand-synchronized, economically robust configurations achieve 7.06-8.76 $/kg LCOH, 82% self-sufficiency, and up to 75% CO2 reduction. By explicitly incorporating behavioral variability, temporal demand dynamics, and macroeconomic risk, the proposed framework offers a policy-relevant, investment-oriented decision-support tool for designing hydrogen refueling stations that are cost-optimal and financially resilient, effectively bridging the gap between techno-economic modeling and real-world station deployment planning.
dc.identifier.doi10.1016/j.renene.2025.124957
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.scopus2-s2.0-105023827499
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org./10.1016/j.renene.2025.124957
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10665
dc.identifier.volume258
dc.identifier.wosWOS:001637654800002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260128
dc.subjectHydrogen refueling station
dc.subjectPhotovoltaic panel
dc.subjectOn-site hydrogen production
dc.subjectMacroeconomic sensitivity
dc.subjectLevelized cost of hydrogen
dc.titleMulti-criteria optimization of photovoltaic-based hydrogen refueling stations under behavioral and financial uncertainty: A case study
dc.typeArticle

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