1. Presented By Dr. Mohsen Alardhi College of Technological Studies, Kuwait April 19 th,2009

2. Presentation Agenda Research Objectives Research Motivation Plant Description Preventive Maintenance Scheduling Definition Preventive Maintenance Scheduling Model Simulation Model Results Conclusions 2

3. To develop, test and validate an integrated decision-making model, for maintenance scheduling in cogeneration plants in order to effectively enhance maintenance scheduling in cogeneration plants using a mathematical model and simulation model The proposed models and tools should achieve the following:  Provide Overall system performance  Provide alternative maintenance schedules  Test different maintenance scheduling policies  Provide decision making with a tool for maintenance scheduling Research Objectives 3

4. Research Motivation 4

5. Plant Description 5

6. Zurn and Quintana define the maintenance scheduling (MS) problem as: "one in which the maintenance outages of each unit have to be scheduled in some optimal way while satisfying a number of constraints, over a planning interval of m periods." PM - Scheduling definition 6

7. 1- Maintenance Constraints:  Crew constraints  Resource constraints  Allowable maintenance window  Priority or sequence constraints  Maintenance duration bounds  Maintenance completion periods 2- System Constraints:  Unit capacity constraints  Supply/demand constraints System Modeling- Constraints 7

8. Preventive maintenance scheduling of cogeneration unit using integer programming method Decision Variables System Modeling- Decision Variables 8

9. Maintenance Window System Modeling- Maintenance Window 9

10. Maintenance Completion System Modeling- Maintenance Completion 10

11. Logical Constraints System Modeling- Logical Constraints 11

12. Resource Constraints System Modeling- Resource Constraints 12

13. Maintenance Crew System Modeling- Maintenance Crew 13

14. Efficiency Constraints System Modeling- Efficiency Constraints 14

15. Demand Constraints System Modeling- Demand Constraints 15

16. Objective Function System Modeling- Objective Function 16

17. Unit system output summary (weekly loads of electricity and gross reserves for 14 units) System Modeling- Output 17

18. Unit system output summary (weekly loads of water and gross reserves for 14 units) System Modeling- Output 18

19. Start Formulate a hypothesis Develop a simulation model Run simulation experiment Hypothes is correct End Yes No SIMULATION Model- FLOW CHART 19

20. Determine number of units Assign unite to Preventive maintenance scheduling Determine units to be available Generate demand for water and electricity Assign demand to plants Assign to units Performance measure SIMULATION Model- FLOW CHART 20

21. SIMULATION Model- FLOW CHART 21

22. SIMULATION Model- RESULTS 22

23. SIMULATION Model- RESULTS 23

24. SIMULATION Model- RESULTS 24

25. Averaged simulation model output under random demand and equipment breakdown for weekly demand and production of electricity and gross reserve for 4 units input data from the linear integer programming model SIMULATION Model- RESULTS 25

26. Averaged simulation model output under random demand and equipment breakdown for weekly demand and production of water and gross reserve for 4 units input data from the linear integer programming model SIMULATION Model- RESULTS 26

27. Averaged simulation model output for state of each equipment for linear integer programming model SIMULATION Model- RESULTS 27

28. A single objective integer programming model has been developed which aims to maximize the availability of units Discrete event simulation model has been developed Link between the integer programming and simulation model illustrate Conclusions 28

29. Any Questions Thanks 29

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