Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python
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| Titel: | Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python |
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| Autoren: | Erik Mihelič, Dušan Klinar, Klavdija Rižnar, Primož Oprčkal |
| Quelle: | Processes, Vol 11, Iss 12, p 3263 (2023) |
| Verlagsinformationen: | MDPI AG |
| Publikationsjahr: | 2023 |
| Bestand: | Directory of Open Access Journals: DOAJ Articles |
| Schlagwörter: | data series processing, Python process modeling, sewage sludge drying, drying master curve, Chemical technology, TP1-1185, Chemistry, QD1-999 |
| Beschreibung: | The programming language Python offers the opportunity to analyze and model the municipal sewage sludge (MSS) drying process in an illustrative chemical engineering practice. The drying process is performed on a flat plate while maintaining a uniform, parallel drying air speed. The Python program helps to analyze the digitalized weight measurements from each sample. The program enables the sorting of input data, determination of the drying critical point, and evaluation of the first and second drying periods. Moreover, the model calculates the fundamental drying parameter and forms a drying master curve to support the transfer to different drying conditions. The basic parameters calculated are mass transfer coefficient, heat transfer coefficient, and diffusion coefficient. The results are consistent with published data for those coefficients over the drying temperature range of 19.4–52.4 °C and relative humidity range of 8.2–33.6%. The findings of this study demonstrate the potential of Python as a powerful tool for analyzing experimental data and modeling chemical processes, which can lead to improved process design, optimization, and control. |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| Relation: | https://www.mdpi.com/2227-9717/11/12/3263; https://doaj.org/toc/2227-9717; https://doaj.org/article/dee6f07ccc5d40b49a7b69f8df185c48 |
| DOI: | 10.3390/pr11123263 |
| Verfügbarkeit: | https://doi.org/10.3390/pr11123263 https://doaj.org/article/dee6f07ccc5d40b49a7b69f8df185c48 |
| Dokumentencode: | edsbas.BF56F0C6 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | The programming language Python offers the opportunity to analyze and model the municipal sewage sludge (MSS) drying process in an illustrative chemical engineering practice. The drying process is performed on a flat plate while maintaining a uniform, parallel drying air speed. The Python program helps to analyze the digitalized weight measurements from each sample. The program enables the sorting of input data, determination of the drying critical point, and evaluation of the first and second drying periods. Moreover, the model calculates the fundamental drying parameter and forms a drying master curve to support the transfer to different drying conditions. The basic parameters calculated are mass transfer coefficient, heat transfer coefficient, and diffusion coefficient. The results are consistent with published data for those coefficients over the drying temperature range of 19.4–52.4 °C and relative humidity range of 8.2–33.6%. The findings of this study demonstrate the potential of Python as a powerful tool for analyzing experimental data and modeling chemical processes, which can lead to improved process design, optimization, and control. |
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| DOI: | 10.3390/pr11123263 |