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An Investment Strategy under Uncertainty on LNG-Powered Vessels for Environmental Compliance

机译:不确定的LNG动力船舶环保投资策略

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The shipping industry is investigating alternative fuels for ships in order to comply with stricter emission requirements implemented by the International Maritime Organization (IMO). Liquefied Natural Gas (LNG) is a promising alternative since it could reduce emissions substantially and offer potential fuel cost savings. But the investment in LNG fuelled vessels is currently facing a high degree of uncertainty, such as the differential between the prices of LNG and conventional maritime fuels, the availability of LNG, and the reliability of its supply chain. This paper makes an attempt to study the possibility of investing in LNG powered vessels under uncertainty. A deferral option model is proposed to quantify the value of flexibility for a deferral based on multi-variables following specified stochastic processes. By exploiting the stochastic processes, it is possible to determine the value of deferral by solving a dynamic program using a least squares Monte Carlo simulation. The model is tested on an investment of a new chemical vessel with 19,000 deadweight tonnage (dwt) powered by LNG. Empirical analysis may suggest different investment strategies based on the probabilities of exercising an option, and related option values each year, and it indicates further that the attractiveness of LNG as a ship fuel is dominated by three parameters: difference of ship prices between a LNG powered vessel and a reference one, price difference between LNG and conventional fuel prices, and the share of operation time inside Emission Control Areas (ECAs).
机译:航运业正在研究船用替代燃料,以符合国际海事组织(IMO)实施的更严格的排放要求。液化天然气(LNG)是一种有前途的替代方案,因为它可以大幅减少排放并节省燃料成本。但是,目前对LNG燃料船的投资面临高度不确定性,例如LNG和常规海​​上燃料的价格之间的差异,LNG的可用性以及其供应链的可靠性。本文试图研究在不确定性条件下投资LNG动力船的可能性。提出了一种延期期权模型,用于基于遵循指定随机过程的多变量来量化延期的灵活性值。通过利用随机过程,可以通过使用最小二乘蒙特卡洛模拟求解动态程序来确定递延值。该模型是在由LNG提供动力,具有19,000载重吨(dwt)的新型化学容器的投资上进行测试的。实证分析可能会基于行使期权的概率以及每年的相关期权价值而建议不同的投资策略,并且进一步表明,LNG作为船用燃料的吸引力主要取决于三个参数:LNG动力船之间的船价差异船舶和参考船,液化天然气和常规燃料价格之间的价格差异,以及排放控制区(ECA)内的运行时间所占的比例。

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