Publication:
A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems

Simple item page
dc.citedby6
dc.contributor.authorRezaee Jordehi A.en_US
dc.contributor.authorTostado-V�liz M.en_US
dc.contributor.authorMansouri S.A.en_US
dc.contributor.authorAhmarinejad A.en_US
dc.contributor.authorAhmadi A.en_US
dc.contributor.authorSafaraliev M.en_US
dc.contributor.authorSirjani R.en_US
dc.contributor.authorVerayiah R.en_US
dc.contributor.authorid54412996500en_US
dc.contributor.authorid57220064208en_US
dc.contributor.authorid57192063361en_US
dc.contributor.authorid57193512971en_US
dc.contributor.authorid55260053400en_US
dc.contributor.authorid57208887917en_US
dc.contributor.authorid36782851400en_US
dc.contributor.authorid26431682500en_US
dc.date.accessioned2025-03-03T07:41:57Z
dc.date.available2025-03-03T07:41:57Z
dc.date.issued2024
dc.description.abstractThe key role of hydrogen stations (HSs) is to produce hydrogen and deliver it to hydrogen demands. Offering too high prices by HSs decreases their demand and profit; while offering too low prices decreases their revenue and thereby their profit. In literature, optimal pricing of hydrogen has not been done for HSs. In this research, a risk-averse two-stage stochastic mixed-integer linear model is proposed for optimal pricing of hydrogen for hydrogen consumers in hydrogen stations including hydrogen storage systems. Hydrogen storage capability enables HS operator to purchase more electricity at times with cheaper electricity and offer lower prices for consumers. HS operator sets the prices for demands and procures the required electricity in a way that both its expected profit and risk metric are optimised. The studied HS includes an electrolyzer, a hydrogen storage tank, a transformer and a rectifier, while it is able to procure electricity through a day-ahead electricity market, a photovoltaic (PV) unit and a fuel cell (FC). The pricing is done for residential, industrial and transportation-based demands with different price-quota curves. Hydrogen pricing is done for flat and real-time pricing (RTP) tariffs and the effect of pricing type on HS profit, risk and prices is assessed. The effect of price-quota curves, PV and FC on HS profit, risk and prices are investigated. The results approve the efficiency of the proposed model for hydrogen pricing in HSs. The significant impact of hydrogen storage system on the developed model is verified. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo113567
dc.identifier.doi10.1016/j.est.2024.113567
dc.identifier.scopus2-s2.0-85202930465
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85202930465&doi=10.1016%2fj.est.2024.113567&partnerID=40&md5=b30b84d7a191d9fa06bf681cee58f6d9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36329
dc.identifier.volume100
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Energy Storage
dc.subjectCommerce
dc.subjectProfitability
dc.subjectGreen hydrogen
dc.subjectHydrogen pricing
dc.subjectHydrogen station
dc.subjectHydrogen storage system
dc.subjectLowest price
dc.subjectOptimal pricing
dc.subjectPhotovoltaics
dc.subjectStation operators
dc.subjectStochastic framework
dc.subjectUncertainty
dc.subjectHydrogen storage
dc.titleA two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS