Abstract: A method includes associating a plurality of valve balancing units with a plurality of valves in a hydronic network. The method also includes adjusting a setting of at least one of the valves using at least one of the valve balancing units to balance the hydronic network. Adjusting the setting could include identifying a differential pressure across a valve and a flow rate of material through that valve. Adjusting the setting could also include comparing the identified differential pressure to a target differential pressure and/or the identified flow rate to a target flow rate. Adjusting the setting could further include instructing an actuator to adjust the setting until the identified differential pressure is within a first threshold of the target differential pressure and/or the identified flow rate is within a second threshold of the target flow rate.

Abstract: A method and system for optimal model-based multivariable balancing for distributed hydronic networks based on global differential pressure/flow rate information. A simplified mathematical model of a hydronic system can be determined utilizing an analogy between hydronic systems and electrical circuits. Thereafter, unknown parameters can be identified utilizing the simplified mathematical model and a set of available measurements. Next, balancing valve settings can be calculated by reformulating the simplified mathematical model based on the parameterized model. The sum of pressure drops across selected balancing valves can be then minimized to achieve optimal economic performances of the system. The data can be collected and transferred to a central unit either by wireless communication or manually by reading the local measurement devices. Such a multivariable balancing approach provides a fast and accurate balancing of distributed hydronic heating systems based on a centralized and non-iterative approach.

Abstract: An engine control unit having a one-time integration of a model predictive control template via a potentially long software process. Changes to the control structure may subsequently be made via a calibration dataset connected to the engine control unit without incurring the potentially long and laborious software process of implementing the template of other approaches in the related art.

Abstract: Methods and systems for the design and implementation of optimal multivariable MPC controllers for fast-sampling constrained dynamic systems utilizing a primal-dual feasibility approach and/or a graph approach. The primal-dual feasibility approach can compute and store matrices defining constraints of quadratic programming problems in an off-line part in order to calculate vectors of Lagrange multipliers and an optimizer. Then primal-dual feasibility can be checked in an on-line part using the Lagrange multipliers and the optimizer can provide a unique optimal solution for the constrained dynamic system. The graph approach can compute and store the matrices and the vectors, and also prepare and store a structure of directed graph in off-line part. An optimizer for a given parameter vector can be determined in on-line part using the directed graph, the matrices and the vectors.

Abstract: The subject matter herein relates to coal mills and, more particularly, inferential pulverized fuel flow sensing and manipulation within a coal mill. Various embodiments provide systems, methods, and software to manipulate a primary air flow rate and a coal feed rate into a coal mill to produce a target pulverized fuel flow. Some embodiments include sensing a differential pressure between two or more locations within a coal mill to estimate a recirculated load of coal at one or more stages within the coal mill.