Automatic start-up of anaerobic digestion reactors using model predictive control and practically feasible sets of measurements
AssigneeKhalifa University of Science and Technology
InventorsJorge RODRIGUEZ, Wasim AHMED
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Abstract
Provided is a non-linear model predictive control (NMPC) system for automatic and optimum start-up of an anaerobic digestion (AD) system. The NMPC provides an optimum set of values of manipulated variables for controlling some of the key AD process variables during start-up. The NMPC based automatic start-up system was evaluated against a virtual AD process plant scenario involving a high rate AD reactor treating a readily biodegradable carbohydrate based substrate.
Claims27
A system for controlling a start-up phase of anaerobic digestion reactor operation, the system comprising:
- one or more input devices configured at least to receive one or more input signals corresponding to one or more sensors connected with an anaerobic digestion reactor;
- one or more output devices configured at least to transmit one or more output signals corresponding to one or more actuators connected with the anaerobic digestion reactor;
- and
- a computing system communicatively connected with the one or more input devices and the one or more output devices, the computing system configured to, at least:
- determine, based at least in part on the one or more input signals, one or more values of one or more input variables of a nonlinear model predictive controller, the nonlinear model predictive controller being configured with a nonlinear model of anaerobic digestion having a reduced number of model state variables based at least in part on the one or more input variables that are available due to the one or more input signals;
- update the nonlinear model predictive controller based at least in part on the one or more values of the one or more input variables;
- and
- cause the one or more output signals to be generated based at least in part on one or more values of one or more output variables of the nonlinear model predictive controller.
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One or more computer-readable media collectively having stored thereon computer-executable instructions that, when executed with one or more computing systems, collectively at least:
- receive one or more input signals corresponding to one or more sensors connected with an anaerobic digestion reactor;
- determine, based at least in part on the one or more input signals, one or more values of one or more input variables of a nonlinear model predictive controller, the nonlinear model predictive controller being configured with a nonlinear model of anaerobic digestion having a reduced number of model state variables based at least in part on the one or more input variables that are available due to the one or more input signals;
- update the nonlinear model predictive controller based at least in part on the one or more values of the one or more input variables;
- and
- cause one or more output signals to be generated based at least in part on one or more values of one or more output variables of the nonlinear model predictive controller, the one or more output signals corresponding to one or more actuators connected with the anaerobic digestion reactor.
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A method for controlling a start-up phase of anaerobic digestion reactor operation, the method comprising:
- receiving, with one or more input devices, one or more input signals corresponding to one or more sensors connected with an anaerobic digestion reactor
- determining, with a computing system, based at least in part on the one or more input signals, one or more values of one or more input variables of a nonlinear model predictive controller, the nonlinear model predictive controller being configured with a nonlinear model of anaerobic digestion having a reduced number of model state variables based at least in part on the one or more input variables that are available due to the one or more input signals;
- updating, with the computing system, the nonlinear model predictive controller based at least in part on the one or more values of the one or more input variables;
- and
- causing, with the computing system, one or more output signals to be generated based at least in part on one or more values of one or more output variables of the nonlinear model predictive controller, the one or more output signals corresponding to one or more actuators connected with the anaerobic digestion reactor.
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Dependencies are inferred from the claim text.