Data Reconciliation and Energy Audits for PTT Gas Separation Plant No.5 (GSP5)

Abstract

Nowadays, PTT Public Company Limited has six gas separation plants (GSP). These GSPs consume both fuel gases (using hot oil as heating media) and electricity for use in the process. This work is focused on GSP5. The energy audit or monitoring program will be applied to GSP5 to monitor and report energy usage in each area of GSP5 and identifies where energy is lost from the process. However measured data from energy audit may contain random and gross errors. Technique called “Data reconciliation with gross error detection” will be applied to reduce effect of error and improve accuracy of measured data. In this project the measured data from hot oil heat exchangers network of seventeen exchangers in GSP5 are reconciled simultaneously by using mass and energy balance as constraints. Constraints from energy balance were nonlinear equation and program General Algebraic Modeling System (GAMS) was used to solve nonlinear system. Data reconciliation, Gross error detection and gross error elimination used least-squares method, Global test and Measurement test respectively. The goal of this project is to develop the energy audit program and data reconciliation with gross error detection technique to improve the performance of GSP5. Program will monitor and report the energy usage and energy loss with more accuracy to improve energy usage in the plant.