Data-Driven Hydrogen Technology Supply Chain Readiness Assessment Scoring Dashboard

Descriptor-anchored, evidence-traceable, reproducible bill-of-materials readiness diagnostic. Demonstration use case: PEM water electrolysers.

Version 1.0 · 15 September 2026 · CC BY 4.0 · DOI: 10.5281/zenodo.22737891

iAbout this dashboard

This dashboard operationalizes the Hydrogen Technology Supply Chain Readiness Assessment Framework reported in the companion manuscript. For each bill-of-materials unit, the embedded Component Evidence Database (manuscript Section IV-E) records the per-dimension extracted indicator with its source and source tier. Scores are assigned by matching that evidence to the descriptor bands (manuscript Appendix A, reproduced in Section 2 below). Component-level readiness is the weighted arithmetic mean across the six dimensions; system-level readiness is the non-compensatory minimum across critical components.

Adjust the weights, load a published sensitivity specification, or click any score in the matrix to override it for what-if analysis. All results export to CSV or JSON, and a previously exported JSON file can be re-imported to reproduce a saved state exactly.

Scope note. The framework is developed for hydrogen technologies and is general by construction: the six dimensions and the descriptor bands contain nothing specific to electrolysis. The weight vector was elicited in an electrolyser context and should be re-elicited for other technology classes. The scores apply only to this bill of materials on this evidence at this date.

1Dimension Weights

Six SCRL dimension weights from expert elicitation (n = 14), reported to three decimal places. Inputs are auto-normalised. Published sensitivity specifications can be loaded from the selector below.

Sum:1.000

Weights are aggregated from fourteen expert responses and should be read as tiers rather than a strict ranking: at this sample size no rank is sharply identified, and every confidence interval overlaps at least two others. The binding constraint is invariant to the weighting, as the published specifications show. Cardinal magnitudes are indicative and should not be reused as precise parameters without re-elicitation. Weights are rounded to three decimal places by the largest-remainder method so that the six sum to 1.000; the unrounded vector is in the deposit.

2SCRL Descriptor Bands

The scoring rubric (manuscript Appendix A). Scores are assigned by matching documented evidence to these bands, not by holistic judgement.

Show / hide the six descriptor tables

3Component Evidence Database

Per-component, per-dimension extracted evidence with the matched band, the source, and the source tier. Click a component to expand.

Source tiers: T1 Geological, intergovernmental and regulatory T2 Peer-reviewed literature T3 National laboratory and programme documents T4 Company technical and commercial disclosures

Tier 4 sources establish the existence and identity of qualified suppliers, which they evidence reliably. They are not used alone to support claims about concentration, capacity or price, for which Tier 1 and Tier 2 sources are required.

4SCRL Assessment Matrix

Auto-populated from the evidence database. Every score is traceable to the evidence that produced it.

Hover a score to preview its evidence and source. Click to jump to the full evidence row. Enable What-if mode (or hold Shift) to override a score; overridden cells are ringed. Scores are keyboard-reachable: Tab to a cell, then Enter or Space.

What-if mode: OFF Print / colour-safe palette: OFF

SCRLc = (Σ wi Dc,i) / (Σ wi). Critical components are flagged and contribute to the weakest-link aggregation below. The band number is printed in every cell, so readiness is never conveyed by colour alone.

5System-Level Results

SCRLsys — weakest link

Minimum across critical components (the model definition)

Compensatory mean

Arithmetic mean across critical components

Mean across all twelve units

Including non-critical balance of plant
Reported to show how far an unrestricted average departs from the non-compensatory result. Neither mean is the model's definition of system readiness.

The weakest-link rule follows {Tucker & Paxton, 2010}, who specify that the overall supply chain readiness level is determined by the minimum, and established technology readiness assessment practice in which system maturity is governed by the least mature critical element {GAO, 2020}.

6Assessment Units and the Bill of Materials

The full PEM bill of materials inventoried in the companion manuscript contains twenty-one line items (nine cell-stack components and twelve balance-of-plant items). Assessment is conducted at twelve units, derived from that inventory by two documented aggregation rules:

Criticality is classified by applying the manuscript's definition to each unit: a component is critical if its absence, failure or supply shortage prevents the system from functioning or from scaling, and no immediate commercial substitute exists. The basis for each classification is shown against the component in Section 3.

7Scoring Provenance and Audit

Where the numbers in this dashboard come from, and how they were checked.

Dimension weights

Elicited from fourteen experts between 20 August and 11 September 2026 using a purpose-built Best-Worst Method instrument (version HSCRM-BWM-v3.1), which fixes both self-comparisons at 1 and elicits the best-to-worst comparison once, giving 2n − 3 = 9 comparisons per respondent. Weights were derived with the linear BWM model {Rezaei, 2016} and verified against an independent re-implementation agreeing to 4.3 × 10−5. Per-respondent weights and all consistency diagnostics are in the deposit.

Component scores

Each of the 72 component-by-dimension cells was scored by matching a documented indicator value against the descriptor band in Section 2, with the source and source tier recorded before any score was assigned. All 72 cells were subsequently re-audited against the band definitions. Three were re-matched; each carries its reasoning inline in Section 3 and is summarised below.

CellBandBasis for the assigned band
Iridium anode catalyst, D23 The recorded evidence names five to six globally qualified PGM-catalyst suppliers with announced expansions. Band 3 specifies approximately three to seven suppliers with regional concentration and limited redundancy; band 2 specifies two to four with tight capacity. The shared upstream metal constraint is captured in D1 and D5 and is not double-counted here.
PFSA membrane, D24 The evidence names seven to nine global suppliers across the United States, Europe, Japan and China, which matches band 4 (more than five to ten suppliers across multiple regions).
Titanium anode porous transport layer, D52 Approximately 63% of titanium sponge capacity sits in China and 11% in Russia, both subject to export controls or sanctions. Band 2 describes significant concentration where alternatives are insufficient to cover a major disruption; band 3 describes noticeable but manageable concentration.

Release history

VersionDateChange
1.015 September 2026 First public release, accompanying the companion manuscript.

Any future change to a published score will be recorded here, and released as a new Zenodo version so that results computed from an earlier version can be reconciled with the current one.

8Reproducibility, Citation and Licence

How to cite this dashboard

Nabil, D. H., Singh, S., & Choudhary, A. (2026). Data-driven hydrogen technology supply chain readiness assessment scoring dashboard (Version 1.0) [Software]. Zenodo. https://doi.org/10.5281/zenodo.22737891

Licence

Creative Commons Attribution 4.0 International (CC BY 4.0) for the dashboard, the descriptor bands and the evidence database. Third-party material referenced in the evidence database remains under the rights of its respective publishers; only the extracted indicator values and citations are reproduced here.

This release contains

HSCRM_Scoring_Dashboard.htmlThis dashboard, self-contained
evidence_database.csvAll 72 cells with indicator values, scores and sources
expert_responses_anonymised.csvThe fourteen elicitation responses
individual_weight_vectors.csvPer-respondent weights and consistency diagnostics
analysis/Scripts reproducing every table and figure
README.md, LICENSE, CITATION.cffDeposit documentation

Expert responses are deposited in anonymised form with the consent of the respondents and under the ethical approval held for the HI-ACT project at the University of Warwick.

Evidence base and sources. Evidence items are drawn from geological and intergovernmental assessments (USGS, IEA, ECHA), peer-reviewed literature, national laboratory and programme documents (NREL, ANL, PNNL, DOE Hydrogen Program), and company technical and commercial disclosures. Every row carries its source and tier. Where evidence was contested across sources, the more conservative reading was adopted and the disagreement recorded.

Deployment. This is a single self-contained HTML file with no build step and no external dependencies. It can be hosted on GitHub Pages or any static web host, and works offline from a local copy.