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 drive unit for driving and starting a motor in the form of an internal combustion engine designed for driving a traction generator coupled to the motor.

Abstract: A drive unit for driving and starting a motor in the form of an internal combustion engine designed for driving a traction generator coupled to the motor.

Abstract: The present disclosure is concerned with operation of an energy storage system (ESS) connectable to an electric power system. The charging-discharging schedule of the ESS can be determined through application of a time-dependent forecast of ESS and power system states based on historical data. Exemplary embodiments can include ESSs which have been historically activated with a certain periodicity, for example, for power system load leveling, frequency regulation, arbitrage, peak load shaving and/or integration of renewable power generation.

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: 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: For monitoring (unmeasured) process states of a rotating machine having a combustion chamber (e.g. a gas turbine), compositions of educts entering the combustion chamber are measured. Based on the compositions of the educts, the composition of the product produced by the combustion chamber can be determined. Moreover, the mechanical power (Pmech) generated by the rotating machine can be determined. Based on the mechanical power (Pmech), the composition of the educts and product, and stoichiometric relationships of educts and product, the values of process states, such as the air mass flow (wa) through the compressor leading into the combustion chamber and/or the gas mass flow (wg), the composition and/or the temperature (T3) of exhaust gas exiting the combustion chamber can be determined. Based on precise measurements of the educt (e.g. the composition of air and fuel in the combustion process), the product (i.e.

Abstract: The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k?1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters.

Abstract: The invention relates to a method for remotely controlling and/or regulating at least one system (1), in particular an industrial system using a communications device (2) which is assigned to the system (1), and at least one receiver device (3), information relating to the system being transmitted from the communications device (2) to the at least one receiver device (3), the information containing a validation code which is generated by the communications device (2), a message being received by the communications device (2), the communications device (2) extracting a check code and instruction information from the message according to a first extraction rule, the communications device (2) validating the message by means of the validation code and check code, and the instruction information being implemented by the system (1) only when the validation is successful.

Abstract: The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated.

Abstract: The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k?1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters.

Abstract: The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k?1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters.

Abstract: The present disclosure is concerned with operation of an energy storage system (ESS) connectable to an electric power system. The charging-discharging schedule of the ESS can be determined through application of a time-dependent forecast of ESS and power system states based on historical data. Exemplary embodiments can include ESSs which have been historically activated with a certain periodicity, for example, for power system load leveling, frequency regulation, arbitrage, peak load shaving and/or integration of renewable power generation.

Abstract: For monitoring (unmeasured) process states of a rotating machine having a combustion chamber (e.g. a gas turbine), compositions of educts entering the combustion chamber are measured. Based on the compositions of the educts, the composition of the product produced by the combustion chamber can be determined. Moreover, the mechanical power (Pmech) generated by the rotating machine can be determined. Based on the mechanical power (Pmech), the composition of the educts and product, and stoichiometric relationships of educts and product, the values of process states, such as the air mass flow (wa) through the compressor leading into the combustion chamber and/or the gas mass flow (wg), the composition and/or the temperature (T3) of exhaust gas exiting the combustion chamber can be determined. Based on precise measurements of the educt (e.g. the composition of air and fuel in the combustion process), the product (i.e.

Abstract: The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated.

Abstract: The invention relates to a method for remotely controlling and/or regulating at least one system (1), in particular an industrial system using a communications device (2) which is assigned to the system (1), and at least one receiver device (3), information relating to the system being transmitted from the communications device (2) to the at least one receiver device (3), the information containing a validation code which is generated by the communications device (2), a message being received by the communications device (2), the communications device (2) extracting a check code and instruction information from the message according to a first extraction rule, the communications device (2) validating the message by means of the validation code and check code, and the instruction information being implemented by the system (1) only when the validation is successful.

Abstract: For estimating a value of a vector of variables p in a mathematical model representing a physical process, where a state vector x of the model is estimated by a State Augmented Extended Kalman Filter (SAEKF), and where that the vector of variables p represents one or more properties of the process and is representable by a function of the state vector x, the following steps are executed: