An efficient dark fermentative hydrogen production by GMV control of pH
Autor: | Şule Camcıoğlu, Zeynep Yilmazer Hitit, Suna Ertunç, Baran Ozyurt, Furkan Soysal, Bulent Akay |
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Rok vydání: | 2019 |
Předmět: |
Recursive least squares filter
Renewable Energy Sustainability and the Environment Estimation theory Ph control Energy Engineering and Power Technology 02 engineering and technology Dark fermentation 010402 general chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics Pulp and paper industry 01 natural sciences 0104 chemical sciences Fuel Technology Control theory Fermentative hydrogen production Scientific method Fermentation 0210 nano-technology Mathematics |
Zdroj: | International Journal of Hydrogen Energy. 44:19709-19718 |
ISSN: | 0360-3199 |
Popis: | This study proposes that the on-line pH control via a model-based adaptive controller markedly improves the dark fermentative hydrogen production. According to the dynamic behavior of the dark fermentation process, pH, which rapidly declines with the beginning of the biogas production, should be precisely controlled around its optimal value in a narrow range. The success of on-line pH control was guaranteed by performing the preliminary simulation studies by experimental data obtained from dynamic analysis to determine ARMAX model order with Recursive Least Squares parameter estimation method and then to control the pH with Generalized Minimum Variance (GMV) controller. On-line control of pH at the optimal value of 6.0 during the 25 h dark fermentation process resulted in 5.4 times higher biogas production, 6.2 times higher biogas production potential, nearly doubled the duration of fermentation, and 18.4% biogas production rate increment in comparison with the uncontrolled pH case. |
Databáze: | OpenAIRE |
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