Sewage sludge treatment plant (generated by ASPEN)
Published: 25 July 2022| Version 1 | DOI: 10.17632/ctks2b3ymc.1
Contributors:
Faramarz Bagehrzadeh, , Description
Data-rich framework including 76 sets is generated via ASPEN PLUS software in order to adopt prediction models for the fluidized bed temperature, steam heat transfer rate, and dryer residence time in the sewage sludge (SS) incineration system in a wastewater treatment plant.
Files
Steps to reproduce
The ASPEN model was developed and validated with the real system. Then a different range of inflow was tested and recorded. The full description is explained in the article
Institutions
Polska Akademia Nauk Instytut Maszyn Przeplywowych im Roberta Szewalskiego, Politechnika Gdanska
Categories
Wastewater Treatment, Machine Learning, Sewage Sludge, Wastewater Treatment Plant