Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture.

Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture.

Abstract: To generate real-time or at least near real-time predictions for a process in an industrial plant, a set of neural networks are trained to create a set of trained models. The set of trained models is then used to output the predictions, by inputting online measurement results in an original space to two trained models whose outputs are fed, as reduced space inputs and reduced space initial states, to a third trained model. The third trained model processes the reduced space inputs to reduced space predictions. They are fed to a fourth trained model, which outputs the predictions in the original space.

Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: To minimize the probability of occurrences of a delayed control action of a human operator, at least the human operator's interactions, including control actions, with a process and process responses to control actions are measured and processed to determine the human operator's alertness level, and if the alertness level is low enough, an engagement session may be triggered.

Abstract: A method for actively damping oscillations in a compression process, the method being performed by a controller. The method includes acquiring process data from a compression process, performing oscillation frequency estimation of any detected oscillations in the process data, generating a damping signal based on the oscillation frequency estimation, and providing the damping signal to an electrical drive of the compression process.

Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: A system and method are provided for storing electric energy in the form of thermal energy. A thermoelectric energy storage system includes a working fluid circuit for circulating a working fluid through a heat exchanger, and a thermal storage medium circuit for circulating a thermal storage medium. The thermal storage medium circuit includes at least one hot storage tank, an intermediate temperature storage tank, and a cold storage tank connected together via the heat exchanger. A proportion of the storage medium is redirected to or from the intermediate storage tank from or to the hot or cold storage tank, joining another proportion which flows directly between the cold and hot storage tank.

Abstract: A method for controlling an energy storage system for connection to a power system, and such an energy storage system are provided. The method makes use of a model based predictive controller to optimize the charging/discharging rates of energy storage elements in a hybrid energy storage system. The method includes determining respective desired charging/discharging rates for the energy storage elements in dependence upon state of charge predictions from respective models of the storage elements, using model predictive control, and adjusting respective charging/discharging rates of the storage elements in accordance with the determined rates. The energy system includes a controller configured to control respective charging/discharging rates of the energy storage elements in accordance with the method.

Abstract: A method for actively damping oscillations in a compression process, the method being performed by a controller. The method includes acquiring process data from a compression process, performing oscillation frequency estimation of any detected oscillations in the process data, generating a damping signal based on the oscillation frequency estimation, and providing the damping signal to an electrical drive of the compression process.

Abstract: A system and method are provided for storing electric energy in the form of thermal energy. A thermoelectric energy storage system includes a working fluid circuit for circulating a working fluid through a heat exchanger, and a thermal storage medium circuit for circulating a thermal storage medium. The thermal storage medium circuit includes at least one hot storage tank, an intermediate temperature storage tank, and a cold storage tank connected together via the heat exchanger. A proportion of the storage medium is redirected to or from the intermediate storage tank from or to the hot or cold storage tank, joining another proportion which flows directly between the cold and hot storage tank.

Abstract: A system and method are provided for storing electric energy in the form of thermal energy. A thermoelectric energy storage system includes a working fluid circuit for circulating a working fluid through a heat exchanger, and a thermal storage medium circuit for circulating a thermal storage medium. The thermal storage medium circuit includes at least one hot storage tank, an intermediate temperature storage tank, and a cold storage tank connected together via the heat exchanger. A proportion of the storage medium is redirected to or from the intermediate storage tank from or to the hot or cold storage tank, joining another proportion which flows directly between the cold and hot storage tank.

Abstract: A system and method are disclosed for controlling electrical machines including a controller component which receives a first signal providing a measured parameter of the electrical machine and a second signal providing a reference parameter of the electrical machine, using the first and second signals being used to produce a first control signal. A first filter component receives the first signal from the electrical machine and uses the first signal to produce a second control signal. A second filter component receives a third signal which relates to a reference parameter of a second electrical machine and uses the third signal to produce a third control signal. The system and second control signals are used to produce a first output control signal for provision to the first electrical machine, and the first and third control signals are used produce a second output control signal for provision to the second electrical machine.

Abstract: Exemplary embodiments relates to an optical measurement that determines the temperature in a flame and determines the particle size of the fuel present in the flame. The optical measurement device includes a color camera that measures light information in the flame and outputs measurement results and an evaluation unit that evaluates the measurement results. Further, a coal burning power plant is provided with a multitude of burners that burn milled coal each in a flame and a multitude of optical measurement devices described.

Abstract: An exemplary system and method for storing and retrieving energy in a thermoelectric energy storage system is disclosed. The thermoelectric energy storage system includes a working fluid that is circulated through a first and second heat exchanger, and a thermal storage medium that is circulated through the first heat exchanger. The second heat exchanger is in connection with a first thermal bath during a charging cycle and with a second thermal bath during a discharging cycle. In this way roundtrip efficiency is improved through minimizing the temperature difference between the first thermal bath and the hot storage tank during charging, and maximizing the temperature difference between the second thermal bath and the hot storage tank during discharging.

Abstract: A method and device are disclosed for automatically providing control parameters for a plurality of coal mills supplying coal powder for example to a furnace of a power plant. An exemplary method includes (a) acquiring a multiplicity of operation variables indicative of a load of an individual coal mill for each of the coal mills; (b) acquiring a demand variable indicative of a coal demand from the plant; (c) supplying the acquired multiplicity of operation variables and the demand variable to a computing system; (d) calculating the control parameters based on the multiplicity of operation variables and the demand variable using a multivariable calculation algorithm; and (e) providing the calculated control parameters for controlling each coal mill individually.

Abstract: A control system for a power plant having a mill for pulverizing material for input into a combustion system of the power plant includes first and second sensors for recording first and second parameter of first and second outputs from the combustion system, respectively, an adjuster system for adjusting and recording at least one variable parameter of the combustion system, and a state estimator component configured to receive a first signal relating to the first parameter, a second signal relating to the second parameter and a third signal relating to the at least one variable system parameter. The state estimator component uses the first to third signals to produce a material parameter indicator signal and a system state indicator signal. The control system includes an output component configured to receive the material parameter indicator system state indicator signals and to combine these signals to produce an output control signal.

Abstract: Exemplary embodiments relates to an optical measurement that determines the temperature in a flame and determines the particle size of the fuel present in the flame. The optical measurement device includes a color camera that measures light information in the flame and outputs measurement results and an evaluation unit that evaluates the measurement results. Further, a coal burning power plant is provided with a multitude of burners that burn milled coal each in a flame and a multitude of optical measurement devices described.

Abstract: A method for controlling an energy storage system for connection to a power system, and such an energy storage system are provided. The method makes use of a model based predictive controller to optimize the charging/discharging rates of energy storage elements in a hybrid energy storage system. The method includes determining respective desired charging/discharging rates for the energy storage elements in dependence upon state of charge predictions from respective models of the storage elements, using model predictive control, and adjusting respective charging/discharging rates of the storage elements in accordance with the determined rates. The energy system includes a controller configured to control respective charging/discharging rates of the energy storage elements in accordance with the method.

Abstract: Exemplary embodiments are directed to a thermoelectric energy storage system (TEES) and method for converting electrical energy into thermal energy to be stored and converted back to electrical energy with an improved round-trip efficiency are disclosed. The TEES includes a working fluid circuit for circulating a working fluid through a first heat exchanger and a second heat exchanger, a thermal storage medium circuit for circulating a thermal storage medium, the thermal storage medium circuit having at least one hot storage tank coupled to a cold storage tank via the first heat exchanger. The arrangement maximizes the work performed by the cycle during charging and discharging for a given maximum pressure and maximum temperature of the working fluid.