Data Reconciliation

One of the most powerful features of the Monitor computer program is its ability to reconcile data without significant user intervention.

Monitor fouling calculations use measured plant temperatures and flowrates to calculate heat exchanger fouling factors. Data Reconciliation identifies inconsistencies in the input data and produces a more consistent set of data for the fouling calculations.

Data reconciliation uses an optimization procedure to minimize errors between hot and cold side duties of exchangers by adjusting given variables. At the same time, it minimizes the difference between calculated and target exit temperatures for mixers.

Exchangers and mixers that are included in the reconciliation are called "targets". Feed flowrates and temperatures and splitter ratios are the independent "variables" that are changed to achieve the targets.

Reconciliation output shows the duties calculated from the supplied flowrates and temperatures for each side of target exchangers and the differences between them. It also shows the differences between the target and calculated temperatures of the products of target mixers.

The same data are then shown after the reconciliation has been completed. The table shows by how much feed stream temperatures and flowrates and splitter ratios have been changed to achieve a reconciled data set.



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Automated Running ] Data Input ] Database Storage ] Economics ] Fluid Definition ] Fouling Calculations ] Import ] Normalisation ] Output ] PFD ] [ Data Reconciliation ] Splitter Ratios ] Thermodynamics ]