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Flexible Methane Production Using a Proportional Integral Controller with Simulation‐Based Soft Sensor
Author(s) -
Raeyatdoost Niloofar,
Eccleston Robin,
Wolf Christian
Publication year - 2020
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201900401
Subject(s) - biogas , controller (irrigation) , anaerobic digestion , control theory (sociology) , renewable energy , pid controller , methane , soft sensor , energy balance , production (economics) , stability (learning theory) , process engineering , proportional control , engineering , environmental science , control engineering , waste management , control system , computer science , control (management) , chemistry , thermodynamics , process (computing) , physics , electrical engineering , macroeconomics , biology , artificial intelligence , temperature control , operating system , machine learning , agronomy , organic chemistry , economics
Anaerobic digestion plants have the potential to produce biogas on demand to help balance renewable energy production and energy demand by consumers. A proportional integral (PI) controller is constructed and tuned with a novel tuning method to control biogas production in an optimal manner. In this approach, the proportional part of the controller is a function of the feeding rate and system's degree of stability. To estimate the degree of stability, a simulation‐based soft sensor is developed. By means of the PI controller, the requirement for gas storage capacity of the digester is reduced by approximately 30 % compared to a constant, continuous feeding regime of the digester.
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