Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Upcoming SlideShare
What to Upload to SlideShare
Next
Download to read offline and view in fullscreen.

0

Share

Download to read offline

Motiva online monitoring and optimization energy system

Download to read offline

Online monitoring and optimization of the energy system at Motiva Port Arthur refinery
Software user conference 2018, USA

Related Books

Free with a 30 day trial from Scribd

See all
  • Be the first to like this

Motiva online monitoring and optimization energy system

  1. 1. ONLINE MONITORING AND OPTIMIZATION OFTHE ENERGY SYSTEM AT MOTIVA PORT ARTHUR REFINERY KBC USERS CONFERENCE 2018 Motiva Enterprises Robert Aegerter, Jake Lam, Raul Adarme KBC Jorge Mamprin, Carlos Ruiz, Pablo Montagna
  2. 2. AGENDA  Company Overviews  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Future developments  Conclusions
  3. 3. COMPANY OVERVIEW: MOTIVATODAY  An investment-grade, self-sufficient, entrepreneurial enterprise – steered by leadership team in Houston and supported by owner, Saudi Aramco  North America’s largest refinery -- 635,000 barrels a day  Largest base oil lubricants plant in the western hemisphere  Marketer and distributor of two fuel brands: Shell and 76, supplying more than 5,000 retail gas stations  26 product loading racks in 20 markets
  4. 4. COMPANY OVERVIEW: SOTEICAVISUAL MESA (SVM),YOKOGAWA & KBC  SVM, since 1985 Software Solution Provider for the Hydrocarbon Industry  More than 140 applications on sites worldwide  Most widely used ERTO system: +90 Energy Site Wide Optimizers around the world  2016Yokogawa acquires 100% of SVM  2017 SVM integration in KBC  Integrated automation solutions  Best-in-class automation technology KBC All about EXCELLENCE  Proven Operational Excellence and Profit improvement consulting  Leading simulation technology for hydrocarbon industry Soteica Visual MESA Industrial Knowledge  Secure cloud services for DaaS  Supplier / customer collaboration  Leading provider of energy real time optimization
  5. 5. AGENDA  Companies Overview  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Future developments  Conclusions
  6. 6. • External Utilities Contracts • Forecasts Emissions Regulations Measurements OPEN-LOOP advisory reports to operators Control System / Historian Process (Utilities Consumers and Generators) VM EMS TECHNOLOGIES: ON-PREMISE FUNCTIONALITY Operators Energy Related Reports and Dashboard Energy and Emissions KPIs Monitoring Energy Use and Account Optimum Energy System Operation Report EnPIs, Streams and Equipment Calcs. Hydrogen Fuel Steam Electricity Water Energy and Utilities System (Degrees of freedom in Generation and Distribution) Motiva’s model scope
  7. 7. VM EMS TECHNOLOGIES: UTILITY OPTIMIZATION CAPABILITIES (VM-ERTO)  Whatever utilities the process needs, the process gets.  How can we get those utilities needs to the process in the cheapest possible way…  within emissions constraints…  within current operating constraints, and  within contractual constraints?  Target is the minimization of total operating cost (Fuel+Power+BFW+Others)  Customized or pre-defined Excel based reports provide operating guidance  What-if capabilities
  8. 8. AGENDA  Companies Overview  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Future developments  Conclusions
  9. 9. VM EMS TECHNOLOGIES: ERTO / EM ON-PREMISE IT ARCHITECTURE
  10. 10. VISUAL MESA MODEL: MOTIVA PORT ARTHUR REFINERY  Fired boilers  GTG’s with HRSG’s  STG’s  TM pairs/groups  Internal power generation  Steam generation Main View PS4 Utilities Area 0 0 0 0 999 999 999 999 999999999
  11. 11. VISUAL MESA MODEL: MOTIVA PORT ARTHUR REFINERY  Visual MESA Software application  Online Open-Loop  Operational targets provided by Operation Reports  Runs every 30 minutes  Over 4400 input tags  Optimization Handles – Actionable items  GTG’s Load  STG’s Load  Boiler’s Load  Duct Firing  T/M Swaps PS3 Utilities Area Delta = Optimization - Simulation
  12. 12. VISUAL MESA MODEL: MOTIVA PORT ARTHUR REFINERY  Constraints  Equipment limits  Steam reserve  Monitoring and Accounting  Over 7600 output tags  KPIs: Efficiency of boilers, STGs and GTs,Total Energy Use, Imbalances  Historization of streams  Historization of optimum values and incremental costs  On-the-fly mass balances
  13. 13. VISUAL MESA MODEL: MOTIVA PORT ARTHUR REFINERY DashboardKPIs Calculation Mass Balance Reports 12341234 1234 1234 1234 1234 1234 1234 12341234 123412341234 12341234 12341234 1234 1234 1234 1234 1234 12341234 1234 1234 12341234 1234 1234 1234 KPI 1234 1234 1234 1234 1234 1234 KPI KPI Description KPI KPI Description KPI Description 123 123 123 123 123 123 123 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 123 KPI 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant Plant
  14. 14. AGENDA  Companies Overview  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Future developments  Conclusions
  15. 15. IMPLEMENTATION CASES
  16. 16. IMPLEMENTATION CASE  BLRs 34, 35 and 46 were reduced  Reversed later (savings increased) BLR 46 BLR 34 BLR 35 Energy Gap
  17. 17. IMPLEMENTATION CASE  Recommendations for STG 33 were partially implemented STG34 inlet Energy Gap  STG 34 steam flow was decreased
  18. 18. IMPLEMENTATION CASE  Letdowns react to changes in steam production  Energy Cost Gap was reduced 1500#/900# 900#/600# 600#/150# 150#/15# Significant savings were captured
  19. 19. AGENDA  Companies Overview  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Next Steps  Conclusions
  20. 20. NEXT STEPS  Improvement of KPI calculations and balances  Addition of hydrogen network and its integration to the steam, power and fuel existing networks  Lost Benefit Analysis: Evaluate the potential lost benefit by running in parallel an unconstrained model to compare with current case  Based on the “original” ERTO model, no additional configuration needed  Historize savings and optimization solution  Compare constrained versus unconstrained savings to analyze and decide if worthwhile the expansion of certain optimizer limits and availability  Additional unconstrained scenarios  Analysis of the impact on savings of a given set of Individual optimization variables
  21. 21. AGENDA  Companies Overview  Visual MESA EMSTechnologies  Motiva Port ArthurVisual MESA Model  Optimization Actions Example  Next Steps  Conclusions
  22. 22. CONCLUSIONS  The integrated steam, power and fuel network of the Motiva Port Arthur site have been modeled inVisual MESA Energy Real Time Optimizer.  The system is running unattended every 30 minutes generating a list of recommendations for operations to reduce the utilities' costs.  Significant savings were captured.  The model is also used to evaluate “what-if” cases such as turnaround planning and investment planning.

Online monitoring and optimization of the energy system at Motiva Port Arthur refinery Software user conference 2018, USA

Views

Total views

603

On Slideshare

0

From embeds

0

Number of embeds

0

Actions

Downloads

43

Shares

0

Comments

0

Likes

0

×