Robust optimization in the synthesis of flexible polygeneration system using P-graph approach

• Main Authors: Cleofas, Maria Eliza A., Okusa, James S., Madria, Venn Royce
• Format: text
• Language: English
• Published: Animo Repository 2016
• Subjects: Robust optimization; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/8687
• Institution: De La Salle University

Polygeneration systems maximize the use of resources by integrating several processes such as the production of heat and power into one system. By utilizing the residual streams of some processes and using them as raw materials for another process, the demand for resources is lowered. Due to the gradual shift to green technologies, polygeneration systems have been constantly studied. This study aims to develop a P-graph based robust optimization approach in the synthesis of flexible poly generation systems under uncertainty. The presence of uncertainty in the product demands and raw material supply can lead to non-optimal operations when not taken into account in the design phase of the system. The robust optimization approach considers predefined scenarios wherein the polygeneration system is expected to operate. The optimal design is one wherein it can feasibly operate at all predefined scenarios while maximizing profitability. This approach utilizes a multi-period P-graph model which simultaneously considers different operating scenarios. The P-graph framework was used due to its fast computational time and capability to solve both optimal and n-best optimal solutions. The developed model was applied to three case studies involving the design of a quadgeneration system producing heat, power, cooling and treated water. Additionally, a sensitivity analysis was performed to determine the effects of the changes in the prices of the raw materials and products to the profit of the system.