Optimal planning of liquefied natural gas deliveries

• Published in: Transportation research. Part C, Emerging technologies Vol. 69; pp. 79 - 90
• Main Authors: Al-Haidous, Sara, Msakni, Mohamed Kais, Haouari, Mohamed
• Format: Journal Article
• Language: English
• Published: Elsevier India Pvt Ltd 01.08.2016
• Subjects: Annual delivery plan; Arc-flow models; Cargo vessels; Computation; Liquefied natural gas; LNG supply chain; Maritime transportation; Mathematical models; Optimization; Polynomials; Transport buildings, stations and terminals; Vessels; Annual delivery plan; Maritime transportation; LNG supply chain; Arc-flow models
• ISSN: 0968-090X; 1879-2359
• DOI: 10.1016/j.trc.2016.05.017

•We investigate the problem of designing an annual delivery plan for an LNG producer.•We describe a novel exact arc-flow formulation.•The proposed formulation accommodates several practical constraints.•Computational experiments were carried out on a set of real data.•Optimal solutions for large-scale instances can be provided in a reasonable CPU time. We investigate the problem of designing an optimal annual delivery plan for Liquefied Natural Gas (LNG). This problem requires determining the long-term cargo delivery dates and the assignment of vessels to the cargoes while accommodating several constraints, including berth availability, liquefaction terminal inventory, planned maintenance, and bunkering requirements. We describe a novel mixed-integer programming formulation that captures important industry requirements and constraints with the objective of minimizing the vessel fleet size. A peculiar property of the proposed formulation is that it includes a polynomial number of variables and constraints and is, in our experience, computationally tractable for large problem instances using a commercial solver. Extensive computational runs demonstrate the efficacy of the proposed model for real instances provided by a major energy company that involve up to 118 cargoes and a 373-day planning horizon.