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Application of Monte Carlo method in economic optimization of cogeneration systems - Case study of the CGAM system

机译:蒙特卡罗方法在热电联产系统经济优化中的应用-CGAM系统案例研究

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摘要

Similar to other energy systems, economic analysis of cogeneration systems is one of the most important steps in their design procedure. In this paper, a novel method is suggested for economic optimization of cogeneration systems. This method provides an opportunity to consider uncertainties in various economic parameters. Accordingly, by providing the probability distribution function of the net present value or payback time, this method offers further insights in economic evaluations of cogeneration systems. As a common practice for demonstrating novel methodologies in design and optimization of cogeneration systems, the proposed method of this study is applied to a well-known cogeneration case in the literature. In a coupled scheme, Monte Carlo approach is applied with net present value method to optimize the system. Accordingly, the obtained result is the probability distribution function of the net present value of the maximum profit. The results verify that compared to previously used methods which did not consider uncertainties in economic parameters, this probability distribution function provides a more general point of view on the profitability of the system. Therefore, by showing economic risks, these considerations make investments in this cogeneration system far more interesting. (C) 2016 Elsevier Ltd. All rights reserved.
机译:与其他能源系统类似,热电联产系统的经济分析是其设计过程中最重要的步骤之一。本文提出了一种用于热电联产系统经济优化的新方法。这种方法为考虑各种经济参数的不确定性提供了机会。因此,通过提供净现值或投资回收期的概率分布函数,该方法在热电联产系统的经济评估中提供了进一步的见解。作为在热电联产系统的设计和优化中展示新颖方法的一种常见实践,本研究提出的方法被应用于文献中的一个著名的热电联产案例。在耦合方案中,将蒙特卡洛方法与净现值方法结合使用来优化系统。因此,获得的结果是最大利润的净现值的概率分布函数。结果证明,与以前使用的没有考虑经济参数不确定性的方法相比,这种概率分布函数提供了关于系统盈利能力的更一般的观点。因此,通过显示经济风险,这些考虑使得对该热电联产系统的投资变得更加有趣。 (C)2016 Elsevier Ltd.保留所有权利。

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