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Ranked by formulaVerdict: Notable

Global green hydrogen site suitability and cost competitiveness: an open-source geospatial and uncertainty assessment across 182 countries

Green hydrogen facility siting is commonly guided either by techno-economic cost minimization or by multi-criteria suitability assessment, yet the extent to which these approaches identify the same development…

By Zun, McLellanApplied Energy

Score████░░░░░░4.5

Key numbers

  • 81% of eligible areas

VerdictWorth a reader's time today.

Read the original

Abstract

Green hydrogen facility siting is commonly guided either by techno-economic cost minimization or by multi-criteria suitability assessment, yet the extent to which these approaches identify the same development priorities remains unclear. A site that can produce low-cost green hydrogen may not necessarily be suitable. Here, we develop an open-source, spatially explicit framework covering 182 countries that applies both approaches independently to a common technically eligible land base. The framework's methodological novelty lies in independently applying cost minimization and multi-criteria suitability assessment to a common eligible land base, enabling a consistent spatial comparison of cost-optimal and highly suitable locations while integrating spatial exclusions, hourly solar and wind generation modelling, plant-gate levelized cost of hydrogen estimation, spatial water-supply pathways, and Monte Carlo uncertainty analysis. Spatial exclusions reduce globally eligible land to 40%. Solar is the least-cost option across 81% of eligible areas, whereas wind-dominated locations achieve a lower median hydrogen cost of $2.8/kg compared with $3.1/kg for solar. However, it was demonstrated that the lowest-cost locations do not consistently coincide with the highest-suitability areas. These findings show that cost competitiveness and development suitability are related but non-equivalent, and that their combined assessment provides a more robust basis for prioritizing large-scale green hydrogen production.

Moe Thiri Zun, Benjamin Craig McLellan

The editor's rubric

Heuristic review

Leverage3 / 5
A method or resource many groups across the field will adopt within a year.
16% of this desk’s rubric
Magnitude3 / 5
Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
20% of this desk’s rubric
Evidence4 / 5
Strong: large scale, preregistered, independently replicated, or a well-powered randomized trial.
20% of this desk’s rubric
Novelty1 / 5
A minor twist on a known approach.
10% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
14% of this desk’s rubric
Stakes3 / 5
Meaningful benefit to many people within a few years.
20% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we propose); gains (relative gain); design (multicenter); verification (error bars, independent replication, code released); scale (scalable, low cost); stakes (global scale, energy). Red flags: derivative (comparative study, we apply).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.5

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.7 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.8 / 10
Shrunk toward the desk prior by editor confidence (48%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.
  • Citations0 (reference 15, via openalex, Oct 19, 2026, 06:46 UTC)

The record

  • Reviewed by heuristic-v7 on Oct 19, 2026, 06:46 UTC. Paper type: method.
  • Categories: Hybrid Renewable Energy Systems, Integrated Energy Systems Optimization, Forest Biomass Utilization and Management, Energy Engineering and Power Technology, Energy
  • TOP, No.6 in the Front page edition of October 19, 2026.
  • TOP, No.2 in the Climate & Energy edition of October 19, 2026.