A method of determining an energy-efficient operating point of a machine tool of a machine tool system with which identical workpieces for processing can be supplied to the machine tool sequentially in time. The machine tool has an operating point dependent machine cycle time and an operating point dependent power demand. The machine tool system has at least two machine tools and has a system cycle time, and the machine cycle time is shorter than the system cycle time. The method includes determining the energy-efficient operating point in accordance with a machine cycle time dependent characteristic energy demand function of the machine tool. The characteristic energy demand function represents a machine cycle time dependent energy demand of the machine tool over the system cycle time. A corresponding device and a machine tool system are also described.

A system for allocating power generation between a constant speed generator set and a variable speed generator set. A controller determines an operating power demand from on-line consumers, and determines an anticipated transient power demand from a new consumer or one with an increasing power demand. The controller allocates the electrical power response between the generator sets to meet both the operating power demand prior to a transient condition and the total power demand upon the occurrence of the transient condition. The allocation may be based upon operating modes of the system.

Methods for CAD, simulation, and corresponding systems and computer-readable mediums. A method includes receiving inputs including one or more of robot information, operation information, position information, and constraint information. The method includes generating a list of candidate positions of a robot. The method includes, for each candidate position, determining a time value of the candidate position and when the time value of the candidate position does not meet a threshold cycle time value, removing the candidate position. The method includes, for each candidate position, determining an energy consumption value of the candidate position. The method includes, for each candidate position, determining one or more of a rating and a ranking for the candidate position based on the time value and the energy consumption value. The method includes determining the optimal position of the robot based on the ranking of each candidate position.

Various embodiments include a system having: at least one computing device configured to tune a set of gas turbines (GTs) by performing actions including: commanding each GT in the set of GTs to a base load level, based upon a measured ambient condition for each GT; commanding each GT in the set of GTs to adjust a respective power output to match a scaled power output value equal to a fraction of a difference between the respective power output and a nominal power output value, and measuring an actual emissions value for each GT during the adjusting of the respective power output; and adjusting an operating condition of each GT in the set of GTs based upon a difference between the respective measured actual emissions value, a nominal emissions value at the ambient condition and a nominal emissions value at the ambient condition.

Commanding GTs to base load level based upon measured ambient condition for each GT; commanding each GT to adjust a power output to match scaled power output value equal to a fraction of a difference between the respective power output and a nominal power output value, and measuring actual emissions value for each GT during the adjusting of the respective power output; adjusting operating condition of each GT based upon a difference between the respective measured actual emissions value, a nominal emissions value at the ambient condition and emissions scale factor; updating a pre-existing emissions model for each GT based upon the adjusted operating; running set of operating conditions on each GT and measuring updated parameters for each GT including an updated emissions value; and refining updated pre-existing emissions model based upon a difference between the updated emissions value and the updated pre-existing emissions model.

Commanding GTs to base load level based upon measured ambient condition for each GT; commanding each GT to adjust a power output to match scaled power output value equal to a fraction of a difference between the respective power output and a nominal power output value, and measuring actual emissions value for each GT during the adjusting of the respective power output; adjusting operating condition of each GT based upon a difference between the respective measured actual emissions value, a nominal emissions value at the ambient condition and emissions scale factor; updating a pre-existing emissions model for each GT based upon the adjusted operating; running set of operating conditions on each GT and measuring updated parameters for each GT including an updated emissions value; and refining updated pre-existing emissions model based upon a difference between the updated emissions value and the updated pre-existing emissions model.

Various embodiments include a system having: at least one computing device configured to tune a set of gas turbines (GTs) by performing actions including: commanding each GT in the set of GTs to a base load level, based upon a measured ambient condition for each GT; commanding each GT in the set of GTs to adjust a respective power output to match a scaled power output value equal to a fraction of a difference between the respective power output and a nominal power output value, and measuring an actual emissions value for each GT during the adjusting of the respective power output; and adjusting an operating condition of each GT in the set of GTs based upon a difference between the respective measured actual emissions value, a nominal emissions value at the ambient condition and a nominal emissions value at the ambient condition.

A plant monitoring method using exergy efficiency is provided. The plant monitoring method includes detecting data associated with chemical exergy and physical exergy of each apparatus or subsystem and obtaining a chemical exergy value and a physical exergy value of each apparatus or subsystem, calculating an exergy efficiency value of each apparatus or subsystem on the basis of the detected data, and identifying a maintenance target which refers to an apparatus or subsystem that needs to be improved in efficiency on the basis of data obtained through the calculating of the exergy efficiency value.