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    <responseDate>2026-10-11T05:48:47Z</responseDate>
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                <identifier>oai:data.mendeley.com/wzd6j2pd4v.1</identifier>
                <datestamp>2026-02-20T13:16:57Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Li, He</dc:creator>
    <dc:title>Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains the complete Supporting Information for the study 
“Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction.”

The files include all raw numerical tables, simulation outputs, and economic assumptions used in the thermodynamic decomposition, cycle-level performance evaluation, and techno-economic analysis (TEA). The dataset is organized as follows:

1. Thermodynamic performance decomposition  
   • Table S1(a): Enthalpy-load distribution, refrigeration-duty allocation, and key performance indicators (SEC, power, turbine recovery).  
   • Table S1(b): Full HYSYS stream summary (temperature, pressure, flow rates, and heat duties for all process streams).

2. Process-flow documentation  
   • Figure S1: Detailed process flow diagram of the LN2-precooled dual-pressure Claude cycle for large-scale hydrogen liquefaction.

3. Techno-economic assumptions  
   • Table S2: Cost categories and baseline TEA assumptions  (capital depreciation, power consumption, maintenance, labor, and miscellaneous operating costs).  
   • Table S3: Financial and operational parameters, including capital cost, plant lifetime, production scale, electricity/LN2 prices, discount rate, and depreciation method.

4. Parametric and sensitivity analyses  
   • Table S4: Influence of LN2 mass-flow rate on refrigeration-load distribution, cold-box pressure drops, and temperature-profile uniformity.  
   • Table S5: Effect of pressure-level distribution on cycle performance at fixed LN2 precooling conditions.

5. Uncertainty quantification (Monte Carlo simulations)  
   • Table S6: Regional liquid hydrogen production cost under uncertainties in electricity prices, LN2 prices, SEC variation, foreign-exchange rate, and transport/tax factors (China, United States, European Union; N=100,000).  
   • Table S7: Parametric LH2 cost sensitivity under region-specific electricity and LN2 price scenarios.</dc:description>
    <dc:subject>Chemical Engineering</dc:subject>
    <dc:subject>Energy Engineering</dc:subject>
    <dc:subject>Economic Assessment of Renewable Energy Sources</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/wzd6j2pd4v.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/wzd6j2pd4v.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/wzd6j2pd4v</dc:relation>
    <dc:date>2026-02-20T13:16:57Z</dc:date>
</oai_dc:dc></metadata>
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