A transparent scenario mass balance for WCO pretreatment and gross FAME formation: a 20-node Rajasthan case study
Year: 2026
Type: dataset
Abstract: Reproducibility archive accompanying the manuscript “A transparent scenario mass balance for WCO pretreatment and gross FAME formation: a 20-node Rajasthan case study.” The archive contains the approved anonymised 20-node scenario inputs, a source-attributed register of published summary parameters, Python scripts and dependencies, automated tests, fixed-seed Monte Carlo and sensitivity outputs, derived tables, generated figures, and a figure-generation manifest. The inherited node values and process factors are scenario inputs, not field measurements or verified estimates of regional waste cooking oil supply. The 40 kg/day cap on two restaurant entries is an author-approved, analyst-imposed consistency rule, not a measured physical limit; the uncapped inputs are also retained for comparison. The baseline Monte Carlo analysis uses 100,000 draws, NumPy PCG64, and random seed 20261015. Only temperature and the triglyceride-equivalent fraction vary probabilistically in the baseline scenario. The apparent-response-to-triglyceride-conversion mapping remains unidentified. Gross fatty acid methyl ester (FAME) values are conditional pre-recovery scenario calculations, not calibrated production forecasts or estimates of recovered or saleable biodiesel. No new field or laboratory measurements were collected. Full third-party raw tables are not redistributed where reuse rights have not been established. Original source publications remain cited and authoritative. The original project code is licensed under MIT; author-created scenario inputs and derived outputs are intended to be shared under CC BY 4.0, subject to the licence files included in this archive. Third-party material remains subject to its own applicable terms.
Institution: Mewar University
Language: English
Subfield: Fuel Technology
Field: Energy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7223204366