The Optimization Of Design And Transportation For Pipeline Network

With the rapid development of economic and the increasing scarcity of resources, chemical industries need more refined operations and more rational management solutions. The pipeline delivery is the one of ways transporting fluid, and it is indispensible part in the chemical industry. The planning and scheduling of pipeline network gain more and more researchers'attention, but they do not have relations with design of pipeline network in recent researches. So this paper simultaneously optimizes and synthesizes the pipeline network with two perspectives of planning and design, and scheduling and design.The design & scheduling problem involved in the pipeline transportation is addressed simultaneously in an integrated framework for the first time. A representation of pipeline network structure based on Petri-Net (PN) is proposed and a discrete-time mixed integer nonlinear programming (MINLP) model that can handle complex multiproduct network systems is formulated. The methodology developed in this paper attempts to optimize integrated configuration that minimizes the total cost, including operating costs and capital costs. A real-world pipeline network is provided in this paper to demonstrate the feasibility of the proposed strategy.Carbon dioxide Capture and Sequestration (CCS) is a major method to decrease the emissions from centralized large industrial plants. The problem of multiple period planning and design of CCS is still not involved so far. In this work, a superstructure-based mathematical model for the design and planning of multiple period CO2 transport pipeline network is presented. The mapping between place node and pipeline is expressed by incidence matrix systematically, and cluster analysis is used to simplify the superstructure and reduce the solving difficulty. The model is formulated within a mixed integer nonlinear optimization framework where the objective function is to maximize the profit of CCS while satisfying mass balance, pressure drop and logic constraints. A real life example is studied to demonstrate the validities and advantages of our proposed approach.Simultaneously optimizing planning & design, and scheduling & design, has advantages in economic. Simultaneously optimizing planning, scheduling and design will be the major future direction in the research.