Reproducibility software for analytical pressure-aware wetness selection in porous direct-evaporative media
Year: 2026
Type: article
Abstract: This repository provides the reproducibility software and numerical verification data supporting the manuscript “Analytical criteria for pressure-aware wetness selection in porous direct-evaporative media.” The archive contains the Python implementation used to reproduce the numerical demonstrations, thermal-response comparisons, Darcy–Forchheimer resistance sensitivity analysis, fan-system calculations, and numerical verification reported in the manuscript and Supplementary Information. The numerical framework evaluates the analytical pressure-aware wetness-selection criterion over a 32,761-case resistance grid and independently verifies stationary solutions using root finding and bounded optimisation. For the nominal illustrative case, the thermal optimum is Sη,opt=0.501500S_{\eta,\mathrm{opt}} = 0.501500, the unit-weight pressure-aware optimum is S1,opt=0.323450S_{1,\mathrm{opt}} = 0.323450, 92.146% of the maximum thermal effectiveness is retained, and pressure loss is reduced by 17.558% relative to the thermal optimum. The constitutive parameters are illustrative and are not calibrated to a specific evaporative-cooling medium. The software is intended to support reproducibility of the analytical and numerical results and to provide a transparent basis for subsequent material-specific experimental calibration. Repository contents: Python source code, numerical verification summary, requirements file, README, licence, version information, manifest, and SHA-256 checksums. Version: 1.0.0DOI: 10.5281/zenodo.22160979
Author: Yusuf, Gbadebo Taofeek
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204666530