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The marine compressed natural gas (CNG) was initially envisioned to target small volumes of gas located in relatively closed proximity to markets. However, the recent breakthroughs in this technology have suggested, and in some cases validated, marine CNG's potential to cost effectively ship much larger volumes of gas over much greater distances. The creative solutions have been proposed by many companies for the choice of materials and configuration of gas containers, as well as for container loading and offloading techniques because this part of a marine CNG project consumes almost 70-80% of the investment. But for commercial success of transportation projects it is important to reduce the operating costs as well. The ship's expenses account for 65-70% of operating costs. Therefore, the charges for fuel used by the ship contribute to a higher extent in overall operating costs of a project. In this paper, a Non-Linear Programming Model (NLPM) has been proposed which focuses upon the optimization of fuel consumption of CNG ships during transportation. The objective function, taking into account the total fuel consumed by the ship engines, is proposed. The optimization problem stated consists in evaluating the number of simultaneously operating ship engines and determining such a distribution of the capacity that total unit fuel consumed by each engine is minimized subject to the constraints imposed. NLPM presents an algorithm of automatic search for the optimal values of the operating parameters of engines. The proposed algorithm can be implemented on a digital computer.

“The Non-Linear Programming Model (NLPM) for Minimizing the Operating Costs of Marine CNG Transportation”