Numerical optimization based on generalized extremum seeking for fast methane production by a modified ADM1
| Autor: | Miroslav Krstic, Robson W.S. Pessoa, Felipe Mendes, Karla P. Oliveira-Esquerre, Tiago Roux Oliveira |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer simulation Settling time chemistry.chemical_element 02 engineering and technology Optimal control Industrial and Manufacturing Engineering Methane Computer Science Applications Dilution Anaerobic digestion chemistry.chemical_compound 020901 industrial engineering & automation 020401 chemical engineering chemistry Control and Systems Engineering Control theory Modeling and Simulation 0204 chemical engineering Methane production Carbon Mathematics |
| Zdroj: | Journal of Process Control. 84:56-69 |
| ISSN: | 0959-1524 |
| DOI: | 10.1016/j.jprocont.2019.09.006 |
| Popis: | In this paper, we address the optimal control of carbon and nitrogen removal from wastewaters in the presence of inhibition by substrates and products by Anaerobic Digestion Model n∘ 1 (ADM1). The main objective is the optimal control of the dilution in order to enhance the concentration of methane gas. The ADM1 was previously calibrated using experimental data from batch experiments from a fish processing industry in order to guarantee the simultaneous carbon and nitrogen removal. The maximum concentration of methane gas is achieved by extremum seeking control based on periodic perturbation signals. The results show that the proposed extremum seeking method is effective in controlling the systems dilution and obtaining the maximum concentration of methane. The numerical simulation also verifies that the method provides adequate increase in production, improvement rate and settling time. A new extremum feedback design based on q–trigonometry is introduced to achieve faster closed-loop responses when compared to the classical approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect