Abstract:
A method of reducing plant emissions includes providing a MPC model for a flaring process including one-to-one models between controlled variables (CVs) including a smoke count and/or a flare count (CV1) and a noise level (CV2), and flow of assist gas as a manipulated variable (MV) and another process gas flow as a disturbance variable (DV). The MPC model receives sensed flare-related parameters during the flaring process including a measure of CV1 (CV1*) and CV2 (CV2*). Provided CV1* is above a minimum setpoint for CV1 (CV1 setpoint) and CV2* is above a setpoint for CV2 (CV2 setpoint), the flaring process is automatically controlled using the MPC model which determines an updated flow setpoint for MV from CV1* and CV2*, the CV1 and CV2 error, and the identified one-to-one models.
Abstract:
A flare monitoring and control system monitors parameters that affect the amount of smoke generated during a flaring operation. The system receives data relating to the parameters, and analyzes the data relating to the parameters. The system predicts an impending increase in the amount of smoke generated during the flaring operation, and varies a value of one or more parameters to prevent the impending increase in the amount of smoke generated during the flaring operation.