Presentation is loading. Please wait.

Presentation is loading. Please wait.

© 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys.

Similar presentations


Presentation on theme: "© 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys."— Presentation transcript:

1

2 © 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries. All third party trademarks and service marks are the proprietary marks of their respective owners. Thai Oil Refinery-wide Optimization Vision & Utilities Optimization Case Study Session ID #: PBSS214 Presented by: Chanchana Payungwong, Thai Oil Group 11/9/11

3 Slide 3 Agenda Today Introduction to TOP group Introduction to Real Time Optimization Best Practices for Refinery Optimization Overview Thai Oil Refinery-Wide Optimization System Thai Oil Utility Optimization Case Study Objective Project team execution Work Scope Optimized and Constraint Variables System Configuration Implementation Result & Current Performance Conclusion and Next Step

4 Slide 4 Introduction to TOP – Where is TOP? TPX TOP TP IPT TLB

5 Introduction to TOP – Who are we? 30% 100% 55%100% Thai Oil (TOP) Thai Paraxylene (TPX) Thai Lube Base (TLB) Thaioil Power (TP) Independent Power (Thailand )(IPT) Thaioil Energy Service (TES) Thaioil Marine (TM) PTT ICT Solutions (PTT ICT) Maesod Clean Energy (MCE) Capacity: 275 KBD Small Power Producer (SPP) Program 3-on-1 Combined Cycle Electricity 118 MW Steam 168 ton/hour Sells Electricity & steam to Group Oil & Chemical Tankers Capacity: 152,500 DWT 1 st IPP Program 2-on-1 Gas-Fired, Combined Cycle Electricity 700 MW PTT 26% J-Power 19% Sugarcane Based Ethanol Capacity: 200,000 lit/day PTT 20% TOP 24% 56% Padaeng 35% Mitr Phol Group 35% 100% Thappline (THAP) Multi-product pipeline Total Capacity: 26,000 million lit/year 9% PTT 31% Others 60% Lube Base Oil Capacity: Base Oil270 KTA Bitumen400 KTA Aromatics Capacity: PX 489 KTA MX 90 KTA BZ 177 KTA TL 144 KTA TOTAL 900 KTA Thaioil Solvent via TOP Solvent (TS) 100% Thaioil Ethanol (TET) 100%80.52% Saptip (SAP) Cassava Based Ethanol Capacity: 200,000 lit/day TOP Solvent Vietnam Sak Chaisidhi (SAKC) Capacity: 100,000 lit/year Solvent distribution In Vietnam Solvent distribution In Thailand 50% 100% PTT Group 80% 20%

6 Slide 6 Introduction to TOP – Vision, Mission and Value

7 Slide 7 Introduction to Real Time Optimization RTO Real-Time Optimization ROMeo Rigorous Online Modeling and Equation-Based Optimization

8 Slide 8 Time and Scope of Comparison Advanced Control Time Plant/ Unit MinutesHours Days Site Control Loops Feedstock Selection Product Demand/Supply Operating Targets Equipment Operation Equipment Interaction Scope Operations Optimization Plant Operation Plant Interaction Online Optimization Planning/ Scheduling Pricing Targets Set Points

9 Slide 9 Best Practices for Refinery Optimization Without APC SPEC./ Energy Time Temperature Pressure Quality !! With APC Time SPEC./ Energy APC Control temp, pressure, flow Quality Optimum point Max yield Min energy With APC&RTO SPEC./ Energy Time RTO HVU CDU APC

10 Slide 10 Overview Thai Oil Refinery Configuration

11 Slide 11 Overview Thai Oil Refinery-Wide Optimization System Scheduler and LP Planner RTO Optimization Naphtha Splitter, CCR1,2, MXU, Isomerazation RTO Optimization FCCU RTO Optimization Utility RTO Optimization H2 Balance Done On-going Plan RTO Status Crude Refinery-Wide Offline Model (RWOM) SPIRAL Assay Data base RTO Optimization TLB (VDU) RTO Optimization TPX RTO Optimization CDU3/HVU3 CDU2/HVU2 CDU1/HVU1 RTO Optimization HCU1 RTO Optimization HCU2

12 Slide 12 Thai Oil Utility Optimization Case Study Project award in end of Y2009 Kick-off meeting in mid of Jan 2010 Project Time frame: Kick-off until FAT = 5 months Open loop commission = 2 months SAT = peak and off-peak period Optimization period = 0.5 hour % Convergence Y2011 = 86.4%

13 Slide 13 Utility Optimization Objective Online optimization Maximize utility plant profit by optimizing fuel cost (Fuel gas, Fuel oil, Natural gas) for power consumption/export and satisfy steam requirements respecting all plant operation and contact constraints Utility plant profit = Power export value – Fuel cost - Contract penalty Offline optimization Utility Optimization Model for off-line study on start-up/shutdown GTG, STG, pump/motor turbine switch, utility operation changes

14 Slide 14 Utility Optimization – Solution of change Real-time optimization opportunity for utility plant includes: Boiler and generators start up/shutdown frequently Motor/turbine pumps and compressors switch Electricity export change during peak and off-peak period and difference in weekdays, weekends and special period Penalty if not satisfied electricity export contact Fuel price difference Disturbance from weather, process demand e.g. steam sootblow

15 Slide 15 Project Team Execution

16 Slide 16 Utility Optimization Work Scope Steam System HHP Steam Header and Distribution 2 HHP Boilers & 4 HHP WHR Boilers HP Steam Header and Distribution 3 HP Boilers MP Steam Header and Distribution LP Steam Header and Distribution Motor/Steam Turbine changeable pumps and compressors Steam letdown Condensate recovery system Power System Electricity distribution 4 Gas turbines 8 Steam turbines 2 Diesel engine generators Fuel System Natural gas Fuel gas Fuel oil Boiler Feed Water System

17 Slide 17 Utility Optimization Work Scope

18 Slide 18 Optimized and Constraint Variables Utility Optimization Variables Gas turbine generator power production Steam turbine generator power production Fuel oil, Fuel gas consumption Utility Optimization Constraints Electricity export Boiler steam production GTG and STG steam production Steam letdown each step Operation constraints

19 Slide 19 (4) Run Optimization Plant Information (PI) Historian (1) Steady State Detection - SSD (2) Data Collection & Screening (3) Run Data Reconciliation Utility Optimizer Execution Sequence Plant Operator Optimized Set Points implemented by Operators

20 Slide 20 Utility Optimizer System Configuration Write Read Run Read key raw Measurements Read hourly avg. Measurements Read status flags Write Results

21 Slide 21 Implementation Result Optimization benefits are results of the followings Minimize boiler fuel oil and increase fuel gas to generate steam due to higher fuel oil price Optimize steam boiler production in order to minimize overall fuel cost Increase GTG power production and WHR steam generation because of lowest natural gas price and reduce STG power production to maintain steam and power balance Optimize GTG power production in order to minimize overall cost

22 Slide 22 Current Performance Y2011, utility optimization system runs average 39.6 times per day % Convergence of utility optimization is average 86.4 % in Y2011

23 Slide 23 Conclusion and Next Step Conclusion Utility advisory optimization system successfully helps maximize utility production profit at real-time Utility optimization model is used for rigorous off-line study before making decision on operation change Next Step Study to implement closed loop real time optimization to fully capture on-line optimization benefits

24 © 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries. All third party trademarks and service marks are the proprietary marks of their respective owners. Thai Oil Refinery-wide Optimization Vision & Utilities Optimization Case Study THANK YOU By: Chanchana Payungwong Contact:

25


Download ppt "© 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys."

Similar presentations


Ads by Google