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

The 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 bee...

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Main Authors: Rezaee Jordehi A., Tostado-V�liz M., Mansouri S.A., Ahmarinejad A., Ahmadi A., Safaraliev M., Sirjani R., Verayiah R.
Other Authors: 54412996500
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Published: Elsevier Ltd 2025
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spelling my.uniten.dspace-363292025-03-03T15:41:57Z A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems Rezaee Jordehi A. Tostado-V�liz M. Mansouri S.A. Ahmarinejad A. Ahmadi A. Safaraliev M. Sirjani R. Verayiah R. 54412996500 57220064208 57192063361 57193512971 55260053400 57208887917 36782851400 26431682500 Commerce Profitability Green hydrogen Hydrogen pricing Hydrogen station Hydrogen storage system Lowest price Optimal pricing Photovoltaics Station operators Stochastic framework Uncertainty Hydrogen storage The 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 Ltd Final 2025-03-03T07:41:57Z 2025-03-03T07:41:57Z 2024 Article 10.1016/j.est.2024.113567 2-s2.0-85202930465 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202930465&doi=10.1016%2fj.est.2024.113567&partnerID=40&md5=b30b84d7a191d9fa06bf681cee58f6d9 https://irepository.uniten.edu.my/handle/123456789/36329 100 113567 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Commerce
Profitability
Green hydrogen
Hydrogen pricing
Hydrogen station
Hydrogen storage system
Lowest price
Optimal pricing
Photovoltaics
Station operators
Stochastic framework
Uncertainty
Hydrogen storage
spellingShingle Commerce
Profitability
Green hydrogen
Hydrogen pricing
Hydrogen station
Hydrogen storage system
Lowest price
Optimal pricing
Photovoltaics
Station operators
Stochastic framework
Uncertainty
Hydrogen storage
Rezaee Jordehi A.
Tostado-V�liz M.
Mansouri S.A.
Ahmarinejad A.
Ahmadi A.
Safaraliev M.
Sirjani R.
Verayiah R.
A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
description The 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 Ltd
author2 54412996500
author_facet 54412996500
Rezaee Jordehi A.
Tostado-V�liz M.
Mansouri S.A.
Ahmarinejad A.
Ahmadi A.
Safaraliev M.
Sirjani R.
Verayiah R.
format Article
author Rezaee Jordehi A.
Tostado-V�liz M.
Mansouri S.A.
Ahmarinejad A.
Ahmadi A.
Safaraliev M.
Sirjani R.
Verayiah R.
author_sort Rezaee Jordehi A.
title A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
title_short A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
title_full A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
title_fullStr A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
title_full_unstemmed A two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
title_sort two-stage stochastic framework for hydrogen pricing in green hydrogen stations including high penetration of hydrogen storage systems
publisher Elsevier Ltd
publishDate 2025
_version_ 1825816268920324096
score 13.244109