Global Hydrogen Export Business Index: An <scp>AI</scp> ‐Enhanced Multicriteria Decision Analysis Framework for Assessing Hydrogen Export Potential

ABSTRACT Global hydrogen trade is emerging as a central pillar of net‐zero strategies, yet there is no unified analytical framework for comparing countries' readiness to export hydrogen. This study develops the Global Hydrogen Export Business Index (GHEBI), an AI‐enhanced multicriteria decision analysis (MCDA) framework that evaluates hydrogen export potential across 31 countries. The framework assesses six dimensions that policymakers and investors must consider when designing hydrogen export strategies: (1) resource availability, (2) infrastructure and technology readiness, (3) economic viability, (4) policy and regulatory environment, (5) environmental and social suitability, and (6) geopolitical and geological risk. These dimensions incorporate indicators derived from international datasets and expert consultation. Five established MCDA methods (AHP, TOPSIS, PROMETHEE II, VIKOR, and SAW) are integrated to generate a composite score, while machine‐learning models are used to validate ranking stability and identify the most influential determinants. Results show substantial regional disparities: Australia, the United States, and selected Gulf countries lead due to strong renewable resources, port infrastructure, and policy support, whereas Africa and South America score lower because of infrastructure gaps, policy uncertainty, and geohazard exposure. Sensitivity analysis confirms the robustness of rankings to changes in indicator weights. The GHEBI framework offers a transparent, multidimensional tool to guide hydrogen export planning, identify investment priorities, and support the development of resilient and geologically informed hydrogen export pathways.

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Publication Details

Journal
Geological Journal
Published
2026-01-07
DOI
https://doi.org/10.1002/gj.70208
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Global Hydrogen Export Business Index: An AI ‐Enhanced Multicriteria Decision Analysis Framework for Assessing Hydrogen Export Potential

Stefano Landini, Tao Tang, Sajjad Bhangwar, Mahmood Alam et al.
Geological Journal
Hybrid Renewable Energy Systems
article

Global Hydrogen Export Business Index: An AI ‐Enhanced Multicriteria Decision Analysis Framework for Assessing Hydrogen Export Potential

Stefano Landini, Tao Tang, Sajjad Bhangwar, Mahmood Alam, Abdul Waheed Mahar, Egemen Sulukan, Gordhan Das Valasai, Riaz Bhanbhro, Sajid Mahmood Lakhan
article en

Abstract

ABSTRACT Global hydrogen trade is emerging as a central pillar of net‐zero strategies, yet there is no unified analytical framework for comparing countries' readiness to export hydrogen. This study develops the Global Hydrogen Export Business Index (GHEBI), an AI‐enhanced multicriteria decision analysis (MCDA) framework that evaluates hydrogen export potential across 31 countries. The framework assesses six dimensions that policymakers and investors must consider when designing hydrogen export strategies: (1) resource availability, (2) infrastructure and technology readiness, (3) economic viability, (4) policy and regulatory environment, (5) environmental and social suitability, and (6) geopolitical and geological risk. These dimensions incorporate indicators derived from international datasets and expert consultation. Five established MCDA methods (AHP, TOPSIS, PROMETHEE II, VIKOR, and SAW) are integrated to generate a composite score, while machine‐learning models are used to validate ranking stability and identify the most influential determinants. Results show substantial regional disparities: Australia, the United States, and selected Gulf countries lead due to strong renewable resources, port infrastructure, and policy support, whereas Africa and South America score lower because of infrastructure gaps, policy uncertainty, and geohazard exposure. Sensitivity analysis confirms the robustness of rankings to changes in indicator weights. The GHEBI framework offers a transparent, multidimensional tool to guide hydrogen export planning, identify investment priorities, and support the development of resilient and geologically informed hydrogen export pathways.

Geological Journal
University of East Anglia (GB), King Fahd University of Petroleum and Minerals (SA), Greenwich University (PK), University of Applied Sciences Stralsund (DE), Center for Life Sciences (CN), Gedik University (TR), Quaid-e-Awam University of Engineering, Science and Technology (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Hybrid Renewable Energy Systems
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