Data Reconciliation in a Heat Exchanger Network

In any modern chemical plant, petrochemical process or refinery, variables such as flow rates, temperatures, pressures, levels and compositions are routinely measured and recorded for the purpose of process control, on-line optimization or process economic evaluation (Romagnoli, J. A. R., & Sanchez, M. C, 2000). The quality of such process data significantly affects the performance and profit gained from the industrial processes. The same concept is applied in the process ofcrude preheating in any refinery industry where the crude oil is heated by passing it through a network of heat exchangers

Data Reconciliation in a Heat Exchanger Network

In any modern chemical plant, petrochemical process or refinery, variables such as flow rates, temperatures, pressures, levels and compositions are routinely measured and recorded for the purpose of process control, on-line optimization or process economic evaluation (Romagnoli, J. A. R., & Sanchez, M. C, 2000). The quality of such process data significantly affects the performance and profit gained from the industrial processes. The same concept is applied in the process ofcrude preheating in any refinery industry where the crude oil is heated by passing it through a network of heat exchangers