Dataset for "Integrated Optimization of Green Hydrogen Pathways Using Taguchi–ANOVA–RSM: Cost, Carbon Intensity, Certification Readiness and Financial Viability"

This dataset supports the manuscript entitled “Integrated Optimization of Green Hydrogen Pathways Using Taguchi–ANOVA–RSM: Cost, Carbon Intensity, Certification Readiness and Financial Viability.”The study develops a review-based decision-support framework integrating the Taguchi method, Analysis of Variance (ANOVA), Response Surface Methodology (RSM), multi-response desirability analysis, and techno-economic financial screening for comparative assessment of green hydrogen production pathways.The deposited workbook contains the numerical data reported in the manuscript, including the Taguchi factor definitions and levels, complete L27 orthogonal-array screening matrix, calculated response values for levelized cost of hydrogen (LCOH), carbon intensity, policy-readiness score, sustainability index and overall desirability, Taguchi signal-to-noise ratio results, consolidated ANOVA statistics, RSM model-adequacy statistics, electrolyser-specific energy consumption and annual hydrogen production, screening-level financial results, and reference-project modelling assumptions.The input parameters were derived from publicly available peer-reviewed literature, technical reports, policy documents, standards and normalized screening assumptions cited and described in the manuscript. The generated numerical dataset is intended for transparent reproduction and verification of the review-based screening framework. No confidential, proprietary, personal, clinical or security-sensitive data are included.