Planning, Scheduling, and Optimal Design of Energy Systems, Process Operations, and Integrated Facilities Under Sustainability Considerations

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The quest for pollution prevention, coupled with increased pressure and demand for environmentally sustainable processes and products, have spawned new rules and regulations in the process industry. The long term objective of this research program is to develop systematic computer-aided methodologies that enable chemical engineers to identify creative strategies for the operation, design, integration, and supply chain management of chemical and biochemical processes in a sustainable and cost effective way. These strategies involve the selection of system components, interconnections of units, operating conditions, infrastructure development decisions, or even interactions along supply chains or the ecosystem at large. This framework will extend upon the traditional approach through the incorporation of environmental impact assessment tools and sustainability metrics. Novel mathematical programming models that are able to propose optimal solutions to effectively account for sustainability and capture the complexity of the various operations will be developed. Solution algorithms that integrate logic-based methods, decomposition techniques, robust optimization, and reformulation strategies to reduce computational complexity will be devised. The practical implementation and testing of the developed methods will be illustrated on various industrial case studies dealing with energy production systems, integrated petroleum and petrochemical facilities, and eco-parks.