Emerson Solutions | Date: 2017-03-22
A system and method are provided and include an equipment controller for operating a piece of kitchen equipment. The equipment controller has a memory storing an initial menu of food items each having associated operating parameters for operating the kitchen equipment when preparing the associated food item. The system also includes a supervisory controller in communication with the equipment controller and in communication with a remote monitor that receives an updated menu for the kitchen equipment from a remote terminal. The updated menu includes at least one of a food item modification and an operating parameter modification. The supervisory controller receives the updated menu from the remote monitor and communicates the updated menu to the equipment controller for installation by the equipment controller.
Emerson Solutions | Date: 2015-09-29
An optimal feedforward control design for controlling equipment performs intermittent re-initialization based on estimated state information. A model-based constrained optimization is explicitly performed during the feedforward calculation. During the course of operation of the equipment, state estimation is continuously performed. When a load target change is detected, the estimated state may serve as the new signal baseline.
Emerson Solutions | Date: 2015-09-09
A control system uses a feedforward neural network model to perform control of a steam turbine power system in sliding pressure mode in a more efficient and accurate manner than a control scheme that uses only a multivariate linear regression model or a manufacturer-supplied correction function. Turbine inlet steam pressure of a steam turbine power generation system in sliding pressure control mode has a direct one-to-one relationship with the electrical energy load (output) of the steam turbine power system. This new control system provides a more accurate representation of the turbine inlet steam pressure, such that the power generated by a power plant is more closely controlled to the target (demand). More particularly, the feedforward neural network model prediction of the turbine inlet steam pressure more closely fits with the actual turbine inlet steam pressure with very little error, and thereby providing better control over the electrical energy load.
Emerson Solutions | Date: 2016-06-29
A system and a method are provided including a system controller for a refrigeration or HVAC system having a compressor rack with a compressor and a condensing unit with a condenser fan. The system controller monitors and controls operation of the refrigeration or HVAC system. A rack controller monitors and controls operation of the compressor rack. The system controller determines a flood-back discharge temperature corresponding to a flood-back condition, receives an actual discharge temperature associated with the compressor rack, compares the actual discharge temperature with the flood-back discharge temperature, and generates a notification to the rack controller based on the comparison.
Emerson Solutions | Date: 2016-06-29
A system and method are provided including a system controller for a refrigeration or HVAC system having a compressor rack with a compressor and a condensing unit with a condenser fan. The system controller monitors and controls operation of the refrigeration or HVAC system. A rack controller monitors and controls operation of the compressor rack and determines compressor rack power consumption data. A condensing unit controller monitors and controls operation of the condensing unit and determines condensing unit power consumption data. The system controller receives the compressor rack power consumption data and the condensing unit power consumption data, determines a total power consumption of the refrigeration or HVAC system, determines a predicted power consumption or a benchmark power consumption for the refrigeration system, compares the total power consumption with the predicted power consumption or the benchmark power consumption, and generates an alert based on the comparison.
Emerson Solutions | Date: 2016-12-15
A system and method for operating a remote plant simulation system is disclosed. The system and method uses a light application at the plant to collect relevant data and communicate it to a remote plant simulation. The remote plant simulation uses the relevant data, including data from the actual process, to create a process simulation and communicate the display data to the light application operating at the plant where it is displayed to a user. The remote system offers the advantage of offering decreased cost and improved simulation as the equipment cost, operator cost and set up cost is shared by a plurality of users. Further, the data may be stored remotely and subject to data analytics which may identify additional areas for efficiency in the plant.
Emerson Solutions | Date: 2017-04-12
The electrical connector includes a first block, a second block, a first support bead, a second support bead, and a wire. The first block includes a first groove and a first rib. The first block is metallized so as to conduct electricity. The second block includes a second groove and a second rib. The second block is metallized so as to conduct electricity. The first support bead does not conduct electricity. The second support bead does not conduct electricity. The wire conducts electricity. The first and second support beads support the wire. When the first rib of the first block is inserted into the second groove of the second block, then the first support bead, the second support bead, and the wire are retained between the first block and the second block.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: LCE-03-2014 | Award Amount: 17.79M | Year: 2015
Predictability and flexibility are key enablers to increase CSP penetration in the energy mix by a) increasing dispatchability b) making CSP less/not reliant on subsidies c) supporting stable grid operation d) enabling operators to access new revenue streams (electricity trading, ancillary services). Today CSP plants with molten salt storage only partly achieve these objectives. Key enabling technologies to be demonstrated and introduced in the market are 1) design and operation of molten salt once-through steam generator This will allow fully flexible plant operation; 2) design and implementation of integrated weather forecasting and dispatch optimization This will allow optimal management of the energy storage to maximize revenues while respecting constraints/commitments (e.g. to the grid). Towards 1), an innovative design approach is proposed, integrating process and equipment design with dynamic simulation of the system. Proven technologies in separate fields (molten salt ; once-through steam generator ; optimum control) will be for the first time integrated and demonstrated. Towards 2), different approaches to DNI forecasting (direct; mesoscale models) will be integrated to extend geographical coverage and improve reliability. Dispatch optimization under conditions of uncertainty (weather forecast) and perturbations (e.g. grid support requests) will be developed. Furthermore, automatic plant performance characterization by machine learning will be implemented to ensure a real optimum is achieved. For succesfull market introduction, a down-scale pilot will be realized. Here, integrated operation of once-through steam generator, weather forecast and dispatch optimization will be demonstrated. CSP will undergo large growth in developing markets, where grid constraints and market liberalization will play a role. Developint these key-enabling technologies will put european industries in the position to compete at the forefront in the market worldwide.
Emerson Solutions | Date: 2015-07-01
Methods and apparatus to optimize turbine ramp rates are disclosed herein. An example method includes predicting a setpoint for a turbine rotor over a prediction horizon. The example method includes predicting a surface temperature profile of the turbine rotor for the prediction horizon based on the predicted setpoint via an empirical data model. The example method also includes predicting a first stress profile for the turbine rotor based on the surface temperature profile. The example method includes performing a comparison of the first stress value to a second stress value and dynamically adjusting the setpoint based on the comparison.
Emerson Solutions | Date: 2016-07-14
Methods and apparatus to optimize ramp rates in combined cycle power plants are disclosed herein. An example method disclosed herein includes predicting a first setpoint for a gas turbine in a combined cycle power plant over a prediction horizon and predicting a second setpoint for a steam generator over the prediction horizon. The example method includes identifying a first steam property of steam generated by the steam generator in the combined cycle power plant based on the second setpoint. The example method includes comparing the first steam property to a second steam property of steam associated with a steam turbine in the combined cycle power plant and dynamically adjusting at least one of the first setpoint or the second setpoint based on the comparison.