Abstract:
A method of controlling a compressor system (10) comprises a gas compressor (32) and an electrical variable-speed drive (30) supplied by an electrical grid (36) and driving the gas compressor (32). A method of controlling the compressor system (10) comprises: detecting a voltage dip (12) in a grid voltage (V) supplied to the electrical drive (30) by comparing the grid voltage (V) with a voltage dip threshold; in the case, a voltage dip (12) is detected: assuming a future development (72) of the grid voltage (V); predicting a future development (84) of at least one process quantity (q) based on at least one process parameter (86) measured in the compressor system (10) and the assumption of the future development (72) of the grid voltage (V); providing the predicted future development (84) of the least one process quantity (q) to a protection system (88). The assumed future development (72) of the grid voltage (V) is based on a predefined depth and a predefined length of an average voltage dip, the predefined depth and the predefined length of the average voltage dip are determined online from a set of historical voltage dip cases, and the assumed future development (72) of the grid voltage (V) is based on an assumption of a persistence of the actual measured voltage.
Abstract:
The present invention is concerned with energy management of a remote farm or rural agricultural community with no or limited access to a main electrical grid. According to the invention, an innovative use of a multi-grid system for the provision of electricity, water, and thermal energy for heating and cooling needs is proposed for farms and farming communities. The existence of at least one continual stream or flow of material in a network different from but interacting with an electrical microgrid is exploited in view of a flexible storage of energy beyond a conventional perimeter of the microgrid and without reconversion of the stored energy into electrical energy. Optimal operation of the microgrid may then be achieved by scheduling or planning electrical power generation within the farm in conjunction with farming related loads that likewise represent a time-wise degree of freedom.
Abstract:
A method is disclosed for controlling at least one compressor (13) in a gas compression system (60), the compressor being driven by an electric motor (3) powered by a drive (2). The method further comprises obtaining measurements of one or more process variables (21) for the compressor and/or compression system from sensors mounted in the compressor or the gas compression system and obtaining a value of at least one electrical parameter (31) from the drive (2) and/or the electric motor (3). Further an estimation (35) of at least one process variable is calculated and compared with a measurement of the process variable ( q ). The measurement is then either validated or else replaced with the estimated value ( q est ) of the process variable. A computer program for carrying out the method and a compressor and compression systems employing the method are also disclosed.
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:
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 comprises 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. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.
Abstract:
Techniques for determining a configuration for deployment of a public transportation system comprising a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor (71) 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:
The invention is related to a control arrangement for controlling a group of compressors (13A, 13B, 13C) in a compressor station (10), powered by an electrical power supply system (1), in case of disturbances in the electrical power supply system, each compressor being run by an electrical variable speed drive (23A, 23B, 23C) providing a drive torque for the compressor, the control arrangement comprising a main control unit (24) operable to determine a total available power for the variable speed drives during a disturbance in the electrical power supply system and select a number of drive torques for operating at least some of the compressors during the disturbance, where the power used for obtaining the selected drive torques is within the total available power.
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 comprises 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. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.