A Mixed-Integer Programming Approach to Infrastructure Planning for Chemical Centres: A Case Study in the UK

摘要

Chemical centres provide great opportunities to tackle the worldwide energy and environmental issues via integrated chemical synthesis and heat and power generation. However, planning of chemical centres still involves many formidable challenges, including locating production sites, arrangement of transport, and selection of appropriate production technologies. These problems become further complicated when considering the geographic conditions of a region under study.In this paper, we propose a multi-period mixed-integer programming (M1P) approach to the optimal planning of chemical centres. The planning horizon is divided into several time intervals, and the planning region is divided into a grid of cells. Then a superstructure representation is developed to capture all available logistic and technical options. Based on the superstructure representation, an MIP problem is developed, and by solving it an optimal planning strategy can be obtained. A real-life case study for the UK follows, where the UK is divided into a grid of 34 cells.