From Hydrocarbon Wealth to Low-Carbon Opportunity: Modeling Hydrogen Value Chain Deployment in Developing Fossil Fuel Economies

An integrated CLEWs–OSeMOSYS optimization model is developed to map credible hydrogen value-chain pathways for a fossil-fuel economy, linking electricity, industry, transport, water, and land. Using Iran as a case, we quantify least-cost deployments under business-as-usual, moderate (−35% CO₂), and ambitious (−55% CO₂) scenarios, with sensitivities on gas prices, export prices, and carbon penalties. Under current techno-economic conditions, the model finds that a gas- and CCS-dominated pathway constitutes the least-cost option for Iran, driven by low domestic gas prices and cost-effective carbon capture. Baseline results show electricity demand nearly doubling by mid-century and persistent gas reliance. With moderate and ambitious policies, low-carbon hydrogen (SMR/gasification with CCS) and green derivatives (ammonia, CCU-methanol) scale, steel shifts to EAF, and gas demand declines as anaerobic-digestion gas grows. Export prices > US$3,000 t⁻¹ trigger hydrogen exports and methanol synthesis; gas prices ≥ US$0.25 m³ accelerate renewable gas. Total system investment rises by roughly 18–24% in the moderate scenario and 35–42% in the ambitious scenario relative to the least-cost baseline. The framework highlights cross-sector trade-offs, showing how policy ambition and prices shape technology mix, export orientation, and domestic decarbonization. Findings offer a transferable tool for hydrocarbon-rich economies planning hydrogen-centered transitions.

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Publication Details

Journal
Results in Engineering
Published
2025-11-28
DOI
https://doi.org/10.1016/j.rineng.2025.108410
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

From Hydrocarbon Wealth to Low-Carbon Opportunity: Modeling Hydrogen Value Chain Deployment in Developing Fossil Fuel Economies

Maryam Fani, Masoumeh Bararzadeh Ledari, Kimia Mohebbi, Amirhossein kordi et al.
Results in Engineering
Hybrid Renewable Energy Systems
article

From Hydrocarbon Wealth to Low-Carbon Opportunity: Modeling Hydrogen Value Chain Deployment in Developing Fossil Fuel Economies

Maryam Fani, Masoumeh Bararzadeh Ledari, Kimia Mohebbi, Amirhossein kordi, Nastaran Edrispour, Amirreaz Khaleghian
article en

Abstract

An integrated CLEWs–OSeMOSYS optimization model is developed to map credible hydrogen value-chain pathways for a fossil-fuel economy, linking electricity, industry, transport, water, and land. Using Iran as a case, we quantify least-cost deployments under business-as-usual, moderate (−35% CO₂), and ambitious (−55% CO₂) scenarios, with sensitivities on gas prices, export prices, and carbon penalties. Under current techno-economic conditions, the model finds that a gas- and CCS-dominated pathway constitutes the least-cost option for Iran, driven by low domestic gas prices and cost-effective carbon capture. Baseline results show electricity demand nearly doubling by mid-century and persistent gas reliance. With moderate and ambitious policies, low-carbon hydrogen (SMR/gasification with CCS) and green derivatives (ammonia, CCU-methanol) scale, steel shifts to EAF, and gas demand declines as anaerobic-digestion gas grows. Export prices > US$3,000 t⁻¹ trigger hydrogen exports and methanol synthesis; gas prices ≥ US$0.25 m³ accelerate renewable gas. Total system investment rises by roughly 18–24% in the moderate scenario and 35–42% in the ambitious scenario relative to the least-cost baseline. The framework highlights cross-sector trade-offs, showing how policy ambition and prices shape technology mix, export orientation, and domestic decarbonization. Findings offer a transferable tool for hydrocarbon-rich economies planning hydrogen-centered transitions.

Results in EngineeringVol. 29
Openalex Percentile: Top 60%
Hybrid Renewable Energy Systems
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From Hydrocarbon Wealth to Low-Carbon Opportunity: Modeling Hydrogen Value Chain Deployment in Developing Fossil Fuel Economies — Maryam Fani, Masoumeh Bararzadeh Ledari, et al. · Results in Engineering (2025) | TGRS Research Map | TGRS