小卫星发射基础设施的灵活设计机会

D. Lasi, R. de Neufville
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引用次数: 0

摘要

100-250公斤卫星有效载荷的新型小型发射器的出现,为新的太空发射综合体提供了理由,这些发射综合体可以支持未来不断增长的卫星星座发射需求。然而,新发射器的开发时间表和结构以及发射需求都是不确定的。因此,开发新发射基础设施项目的任何具体设计的经济可行性都存在很大的不确定性。本研究展示了发射设施的灵活设计如何提高新发射基础设施项目的财务可行性。我们通过比较固定设计和灵活设计的经济性能来做到这一点,考虑到在市场上成功的发射器类型,它们的开发时间和发射需求的不确定性。假设基础设施位于欧洲,那里未来出现新的发射器存在很大的不确定性。固定的、不灵活的设计涉及到使用单一推进剂(固体、液体或混合)来实现发射的预先决定。灵活的设计只投资于一组最小的初始灵活设施,可以支持各种推进剂,同时保留以后添加推进剂特定基础设施的选项。经济分析将蒙特卡罗模拟应用于项目生命周期内收入和费用的贴现现金流的电子表格。这将导致对项目的预期净现值(ENPV)和5%风险值(VAR)的分布进行估计。结果表明,柔性设计具有最高的VAR,因为获取柔性的成本较高,需要在一个需求超集之后进行设计;然而,尽管所有项目都具有负ENPV,但如果考虑假设公私合作伙伴关系中公共和私人部分的激励,则灵活设计的平均表现优于非灵活设计,并且优于非灵活设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible Design Opportunities in Small-Satellites Launch Infrastructures
The emergence of new small launchers for 100–250 kg satellite payloads makes the case for new space launch complexes that can support the future growing demand for launches of satellite constellations. However, development timeline and architecture of new launchers, as well as launch demand, are uncertain. Therefore, there is great uncertainty about the economic viability of any specific design for the development of new launch infrastructure projects. This study demonstrates how flexible design of the launch facility can increase the financial feasibility of new launch infrastructure projects. We do this by comparing the economic performance of fixed and flexible designs, considering uncertainties about the type of launchers that will succeed on the markets, their development time, and the launch demand. The infrastructure is hypothetically located in Europe, where there is a high uncertainty about the future emergence of new launchers. The fixed, inflexible designs involve upfront decisions to realize launches using a single propellant (solid, liquid, or hybrid). The flexible design invests only in a minimal set of initial flexible facilities that can support various propellants, while holding the option to add later propellant-specific infrastructure. The economic analysis applies Monte Carlo simulation to a spreadsheet of the discounted cash flows of revenues and expenses over the life to the project. This leads to estimates of the distribution of both Expected Net Present Value (ENPV) and the 5% Value at Risk (VAR) of the project. The results show that the flexible design has the highest VAR, because acquiring flexibility is costly as it requires to design after a superset of requirements; however, while all projects have a negative ENPV, the flexible design outperforms the inflexible designs on average, and dominates the inflexible designs if one considers the incentives of both the public and private parts in a hypothetical public-private partnership.
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