Pavilion Technologies, Inc.

Donald Semrad

Stephen William Piche

John P Havener

Brian K Stephenson

An on-line optimizer is provided wherein a boiler () is optimized by measuring a select plurality of inputs to the boiler () and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer () which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.

Method for optimizing a plant with multiple inputs

An on-line optimizer is provided wherein a boiler (720) is optimized by measuring a select plurality of inputs to the boiler (720) and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer (818) which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.

An on-line optimizer is comprised of a nonlinear dynamic model (,) which is operable to provide an estimation of the output of a plant. This receives manipulated variables (MV), disturbance variables (DV), and computed disturbance variables (CDB). The estimated output of the model is then compared to the actual output measured by virtual on-line analyzer (VOA) (,). This is compared is a difference block,to generate a bias which is then filtered by a filter(,). The output thereof is then provided to an output block (,) in a steady state optimizer (,) to offset the desired setpoints. These set points are input to a steady state nonlinear model which is operable to optimize the inputs to the plants for use for writing new set points in accordance with a predetermined cost function. This cost function is utilized to optimize the new inputs with the use of the steady state model in accordance with various constraints and target values.

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Cedar Park, TX, United States of America

Donald Semrad