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Report #NBU-6205291C·Framework v5.10·Pipeline v0.4·Evaluated 28 Oct 2026·OECD: 2.4 Chemical engineering·Subfield: Energy Engineering and Power Technology·Basis: Full text·Type: Computational simulation

Achieving gigawatt-scale green hydrogen production and seasonal storage at industrial locations across the U.S.

Breunig et al.Breunig, Rosner, Saqline et al.·2024·Nature communications·10.1038/s41467-024-53189-2 ↗

Primary claim

The distribution in LCOS is centered around a median of $1.84/kg-H2, with a minimum of $1.31/kg-H2 and maximum of $2.68/kg-H2 at the national level (Fig. 3).

Supported · national simulations support the distribution under a common process model without independent operational validation
In brief

National hourly modeling maps industrial hydrogen storage requirements and costs, but unvalidated reactor dynamics limit its use to engineering screening.

ReliabilityCaveats4 of 4 checks completeRead the 2 entries ↓
Abstract

Onsite production of gigawatt-scale wind- and solar-sourced hydrogen (H2) at industrial locations depends on the ability to store and deliver otherwise-curtailed H2 during times of power shortages. Thousands of tonnes of H2 will require storage in regions where subsurface storage is scarce, which may only be possible using liquid organic H2 carriers. We evaluate aboveground system with a focus on providing technical insights into toluene/methylcyclohexane (TOL/MCH) storage systems in locations suitable for gigawatt-scale wind- and solar-powered electrolyzer systems in the United States. Here we show that the levelized cost of storage, at a national median of US dollar $1.84/kg-H2 is spatially heterogeneous, causing minor impact on the cost of H2 supply in the Midwest, and significant impact in Central California and the Southeast. While TOL/MCH may be the cheapest aboveground bulk storage solution evaluated, upfront capital costs, modest energy efficiency, reliance on critical materials and pre-sulfided catalysts, and greenhouse gas emissions from heating are opportunities for further development.

Key Claims

Primary finding · Supported

The distribution in LCOS is centered around a median of $1.84/kg-H2, with a minimum of $1.31/kg-H2 and maximum of $2.68/kg-H2 at the national level (Fig. 3).

national simulations support the distribution under a common process model without independent operational validation

Results, Performance for Storing Otherwise-Curtailed H2 (Fig. 3)
Quote verified
Secondary · Supported

Based on the locations evaluated, significant amounts of H2 storage (1457–19,837 tonnes) are necessary to smooth annual supply from the electrolyzers

annual-profile sizing supports the modeled range without establishing interannual supply reliability

Introduction, final paragraph
Quote verified
Secondary · Supported

When compared with other large-scale H2 storage technologies (Supplementary Fig. 7), we find the carrier system [TOL/MCH] outcompetes gaseous buried pipes and cryogenic liquid H2, but not geologic solutions such as LRC and salt caverns.

modeled comparisons support the ordering, with detailed cross-technology assumptions unavailable for assessment

Results, Performance for Industry in Southwest Texas
Quote verified
Secondary · Supported

At this location [Southwest Texas] about one quarter of H2 production required storage, and the resulting ACEU would be $0.54/kg-H2.

case-study annual accounting supports the added cost under the specified process and financial assumptions

Results, Performance for Industry in Southwest Texas
Quote verified

Derived from the full evaluation — not a separate score.

Strengths · Limitations

Strengths

#contribution

National hourly analysis resolves storage geography

The analysis evaluates 50,052 locations and shows how renewable timing changes storage requirements and costs, rather than relying on annual energy totals alone.

↳ Results, Performance for Storing Otherwise-Curtailed H2; Methods, Supply Chain Model

#methodological rigour

Explicit equations connect sizing and costs

Sizing and financial equations provide an inspectable chain from hydrogen production to LCOS and added end-user cost. The scaling surrogate is reported to differ from detailed calculations by no more than $0.03/kg-H2 within the evaluated locations.

↳ Methods, Eqs. 1–7; Methods, Scaling Equations Development

#positioning

Technical constraints receive concrete industrial interpretation

The Discussion connects natural-gas heating, moderate energy efficiency, catalyst dependence, and capital expenditure to the conditions for industrial use and further development.

↳ Discussion; Methods, MCH/TOL Process Model

Limitations

#methodological rigour

Transient reactor performance remains operationally unvalidated

The sizing and cost estimates depend on reactor kinetics and load-following behavior that have not been demonstrated for the proposed configuration. The Methods identify intrinsic rates and subsequent dynamic simulation as necessary development steps.

↳ Methods, MCH/TOL Process Model; Discussion

#methodological rigour

Annual profiles leave seasonal robustness unresolved

Storage sizing is derived from an annual hourly sequence without demonstrated interannual weather robustness. This limits interpretation of the reported capacities as guarantees of reliable supply.

↳ Methods, Supply Chain Model; Results, Storage Design and Key Assumptions

#methodological rigour

Reported input entries require numerical clarification

The five wind and six solar capacities imply 30 combinations rather than the stated 25. Table 1's 211,444 tonnes/year of dehydrogenation toluene consumption also conflicts with the reported cost scale, although the scaling equation supports the stated LCOS.

↳ Methods, Supply Chain Model; Table 1; Methods, Eq. 7

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Nabu Commentary

The national hourly analysis and explicit process-to-cost equations make this a useful engineering-screening contribution. Its storage requirements and costs remain conditional on uncertain kinetics, assumed transient behavior, and annual renewable profiles rather than demonstrated operation. The Texas emissions values use different stored- and delivered-hydrogen denominators, so their numerical difference alone does not establish a carbon-accounting error, although the reconciliation should be explained. The sweep-count and toluene-consumption entries require correction or clarification without presently overturning the reconstructed storage-cost result.

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Author Note / Field Feedback

Nabu’s assessment, alongside the field’s view.

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Dimension breakdown

Study Quality

Sound3.7

Confidence medium
Contribution
3.9

The contribution is the integration of hourly renewable profiles, stationary TOL/MCH process design, and national storage-cost screening. Its advance lies in system-level sizing and reusable equations rather than new carrier chemistry or demonstrated operation.

Introduction; Results, Performance for Storing Otherwise-Curtailed H2; Methods, Scaling Equations Development
Methodological Rigour
3.6

Explicit sizing equations, process balances, and a checked scaling surrogate support the merit score. Unvalidated reactor dynamics and uncertain kinetics constrain absolute estimates, while the sweep-count and toluene-entry findings require reporting clarification.

Methods, Supply Chain Model; Methods, MCH/TOL Process Model; Methods, Scaling Equations Development; Table 1
Reporting
3.7

The paper provides a followable progression from production profiles to storage size and industrial cost. Unexplained reconciliation of stored-versus-delivered emissions, shifting terminology, and optimistic target language reduce precision without establishing the alleged emissions contradiction.

Results, Performance for Industry in Southwest Texas; Discussion, final paragraphs
Positioning
3.7

The paper compares relevant storage alternatives and connects energy use, catalyst requirements, capital cost, and emissions to interpretation. It does not establish robustness across weather years or systematically propagate kinetic uncertainty into costs.

Introduction; Discussion; Methods, MCH/TOL Process Model

Reliability

Caveats4 of 4 checks


Results checkNoted

2 reported values do not reconcile, but the key claims do not rest on them.

Reporting and transparencyNoted

No reporting or research-conduct inconsistency is established. The non-public basis for the shelf-life assumption limits independent assessment of that assumption rather than demonstrating misconduct or a reporting conflict. One or more identifiers named in the paper's availability or registration statements did not resolve when checked on 2026-10-28T16:20:42.716183+00:00: https://github.com/NREL/HOPP/tree/dev/refactor/greenheart. Recorded as a discrepancy between the paper's claims and the cited sources; not an assessment of the underlying research.

Reference IntegrityClean

38 references in manuscript 29 of 30 checkable references found in an index 8 have no canonical index record — counted, but not index-checkable 1 reference confirmed by manual review

References not verified automatically are resolved manually within 24 hours.

Post-Publication RecordClean

No retraction or expression of concern found in Crossref (includes Retraction Watch).

Last checked: 28 Oct 2026

Sources: Crossref (incl. Retraction Watch) ✓

Readiness

Where this paper’s evidence sits on the path from initial observation to real-world use.

Demonstrated

A specified process design and financial model move the work beyond a conceptual proposal. Physical operation, transient controls, catalyst scale-up, and heat integration remain to be validated.

Methods, MCH/TOL Process Model; Discussion
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