Simulation of a model-based predictive control system to optimize the methane production of a biogas reactor

Autor:	Finn Haugen, Shadi Attar
Rok vydání:	2017
Předmět:	Anaerobic digestion Model predictive control Steady state Biogas business.industry Environmental science Sewage treatment Methane production Process engineering business Methane gas Volumetric flow rate
Zdroj:	ASCC
DOI:	10.1109/ascc.2017.8287411
Popis:	This study deals with the simulation of model-based predictive control for optimization of the methane production of anaerobic digestion reactors. The methane gas production is controlled by the feed flow rate. The prediction is based on the standard AM2 model. The prediction horizon is 5 days. The simulation runs over 500 days. The result is compared with steady state simulations of the biogas reactor.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6778de1676d6c41daccce31ae2f22708 https://doi.org/10.1109/ascc.2017.8287411 Zobrazit plný text záznamu