Infrastructure capacity as the binding constraint in Nigeria–Europe green hydrogen export under supply and demand uncertainty: A two-stage stochastic MILP

Green hydrogen is central to Europe's energy transition, but Nigeria-Europe export corridors lack a joint operations-research treatment of supply- and demand-side uncertainty, leaving capacity-sizing decisions without quantitative grounding. This study addresses that gap with the first two-stage stochastic mixed-integer linear programme (MILP) for a Nigeria-to-Europe liquid hydrogen (LH2) corridor. Solved in GAMS/CBC, the optimum selects Z1 (Kano/Jigawa) and Z2 (Sokoto/Kebbi) at 5.0 GW proton exchange membrane (PEM) capacity each, consolidates liquefaction at Apapa Port (406.8 kt LH2/yr), and achieves 84.6% weighted demand fulfilment at 1960.7 M USD/yr. The value of the stochastic solution is negative (VSS = −175.6 M USD, −9.8%), widening under capacity relaxation - an asymmetric penalty-cost structure, not scarcity; a low expected value of perfect information (EVPI, 1.2%) confirms infrastructure, not demand information, binds reliability. Capacity expansion, not improved forecasting, should anchor Nigeria's export policy.

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Publication Details

Journal
International Journal of Hydrogen Energy
Published
2026-10-15
DOI
https://doi.org/10.1016/j.ijhydene.2026.158079
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Infrastructure capacity as the binding constraint in Nigeria–Europe green hydrogen export under supply and demand uncertainty: A two-stage stochastic MILP

Olaoluwa Paul Aasa, Innocent Musonda
International Journal of Hydrogen Energy
Hybrid Renewable Energy Systems
article

Infrastructure capacity as the binding constraint in Nigeria–Europe green hydrogen export under supply and demand uncertainty: A two-stage stochastic MILP

Olaoluwa Paul Aasa, Innocent Musonda
article en

Abstract

Green hydrogen is central to Europe's energy transition, but Nigeria-Europe export corridors lack a joint operations-research treatment of supply- and demand-side uncertainty, leaving capacity-sizing decisions without quantitative grounding. This study addresses that gap with the first two-stage stochastic mixed-integer linear programme (MILP) for a Nigeria-to-Europe liquid hydrogen (LH2) corridor. Solved in GAMS/CBC, the optimum selects Z1 (Kano/Jigawa) and Z2 (Sokoto/Kebbi) at 5.0 GW proton exchange membrane (PEM) capacity each, consolidates liquefaction at Apapa Port (406.8 kt LH2/yr), and achieves 84.6% weighted demand fulfilment at 1960.7 M USD/yr. The value of the stochastic solution is negative (VSS = −175.6 M USD, −9.8%), widening under capacity relaxation - an asymmetric penalty-cost structure, not scarcity; a low expected value of perfect information (EVPI, 1.2%) confirms infrastructure, not demand information, binds reliability. Capacity expansion, not improved forecasting, should anchor Nigeria's export policy.

International Journal of Hydrogen EnergyVol. 284
Ardhi University (TZ), University of Johannesburg (ZA)
Industry, innovation and infrastructure, Affordable and clean energy, Climate action
Openalex Percentile: Top 24%
Hybrid Renewable Energy Systems
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