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arXiv · 1907.10812

Solving Heated Oil Pipeline Problems Via Mixed Integer Nonlinear Programming Approach

Muming Yang·Yakui Huang·Yu-Hong Dai·Bo Li
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Abstract

It is a crucial problem how to heat oil and save running cost for crude oil transport. This paper strictly formulates such a heated oil pipeline problem as a mixed integer nonlinear programming model. Nonconvex and convex continuous relaxations of the model are proposed, which are proved to be equivalent under some suitable conditions. Meanwhile, we provide a preprocessing procedure to guarantee these conditions. Therefore we are able to design a branch-and-bound algorithm for solving the mixed integer nonlinear programming model to global optimality. To make the branch-and-bound algorithm more efficient, an outer approximation method is proposed as well as the technique of warm start is used. The numerical experiments with a real heated oil pipeline problem show that our algorithm achieves a better scheme and can save 6.83% running cost compared with the practical scheme.

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Muming Yang, Yakui Huang, Yu-Hong Dai, Bo Li. 2019-07-25. Solving Heated Oil Pipeline Problems Via Mixed Integer Nonlinear Programming Approach. https://arxiv.org/abs/1907.10812

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