Multisite Refinery Planning

This book aims at providing the reader with a detailed understanding of the planning, integration and coordination of multisite refinery and petrochemical networks using proper deterministic and stochastic techniques. The book consists of three parts ... 

Table 3.3 Major refineries capacity constraints for multisite refinery planning, Scenario-1 and 2.

Table 3.4 Model results of multisite refinery planning Scenario-1.

In Chapter 3 of this book we discussed the problem of multisite refinery integration under deterministic conditions. In this chapter, we extend the analysis to account for different parameter uncertainty. Robustness is quantified based on both model robustness and solution robustness, where each measure is assigned a scaling factor to analyze the sensitivity of the refinery plan and integration network due to variations. We make use of the sample average approximation (SAA) method with statistical bounding techniques to generate different scenarios. 

Table 7.5 Computational results with SAA of the multisite refinery planning.

Figure 7.5 Multisite refinery planning optimality gap variations with sample size.

Figure 7.6 Cost variation with different values of 0i and 02 for multisite refinery planning.

Figure 7.7 Trade-off between cost and risk at different 02 values while varying 0i for multisite refinery planning.

In this final chapter, we study the multisite refinery and petrochemical integration problem, explained in Chapter 5, under uncertainty. The randomness considered includes both the objective function and right-hand side parameters of inequality constraints. As pointed out in the previous chapters, considering such strategic planning decisions requires proper handling of uncertainties as they play a maj or role in the final decision making process. 

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