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

对防止污染的追求，加上对环境可持续的工艺和产品的压力和需求增加，在加工工业中产生了新的规则和条例。本研究计划的长期目标是开发系统的计算机辅助方法，使化学工程师能够以可持续和成本有效的方式确定化学和生化过程的操作、设计、集成和供应链管理的创造性策略。这些策略包括系统组件的选择、单元的互连、操作条件、基础设施开发决策，甚至是供应链或整个生态系统的交互。这一框架将通过纳入环境影响评估工具和可持续性指标，在传统方法的基础上加以扩展。将开发新的数学规划模型，能够提出最佳解决方案，有效地考虑可持续性并捕捉各种操作的复杂性。将设计集成基于逻辑的方法、分解技术、鲁棒优化和重新制定策略以降低计算复杂性的解决算法。所开发方法的实际实施和测试将在涉及能源生产系统、综合石油和石化设施以及生态公园的各种工业案例研究中加以说明。

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.