6533b836fe1ef96bd12a15ce

RESEARCH PRODUCT

Development and pilot-scale validation of a fuzzy-logic control system for optimization of methane production in fixed-bed reactors

ÁNgel RoblesÁNgel RoblesEric LatrilleMaría Victoria RuanoGabriel Capson-tojoJean-philippe Steyer

subject

anaerobic digestionfixed-bed reactor[SDV]Life Sciences [q-bio]0208 environmental biotechnologybio-methane02 engineering and technologyIndustrial and Manufacturing EngineeringMethanechemistry.chemical_compound020401 chemical engineeringControl theoryProduction (economics)0204 chemical engineeringProcess engineeringEffluentbusiness.industryProcess (computing)Optimal controlwinery wastewater6. Clean water020801 environmental engineeringComputer Science Applicationsfuzzy-logic controlchemistryWastewaterControl and Systems EngineeringModeling and SimulationControl system[SDE]Environmental SciencesEnvironmental sciencebusinessoptimization

description

International audience; The objective of this study was to develop an advanced control system for optimizing the performance of fixed-bed anaerobic reactors. The controller aimed at maximizing the bio-methane production whilst controlling the volatile fatty acids content in the effluent. For this purpose, a fuzzy-logic controller was developed, tuned and validated in an anaerobic fixed-bed reactor at pilot scale (350 L) treating raw winery wastewater. The results showed that the controller was able to adequately optimize the process performance, maximizing the methane production in terms of methane flow rate, resulting in an average methane yield of about 0.29 LCH4 g−1 COD. On the other hand, the controller maintained the volatile fatty acids content in the effluent close to the established maximum limit (750 mg COD L−1). The outcomes of this study are expected to facilitate plant engineers to establish an optimal control strategy that enables an adequate process performance with the maximum bio-methane productivity.

10.1016/j.jprocont.2018.05.007https://hal.inrae.fr/hal-02620895