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首页> 外文期刊>Journal of natural gas science and engineering >An efficient algorithm for CCHP system sizing and an operational optimization model based on LP
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An efficient algorithm for CCHP system sizing and an operational optimization model based on LP

机译：基于LP的CCHP系统规模估计的一种有效算法和一个运行优化模型。

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The economic benefit gained from a combined cooling heating and power (CCHP) system depends on many factors. It is essential to optimize the system configuration and operational scheme as early in the design stage as possible. In this paper, a sizing optimization model (SOM) focused on the minimum annual total cost (ATC) and an operational optimization model (OOM) focused on the minimum annual energy charge (AEC) were established. The former was used to determine the optimal capacity of a CCHP system, whereas the latter was used to provide the optimal schemes. Both the SOM and OOM contain large numbers of hourly linear programming (LP) models, and the solution processes of both models proved to be quite time-consuming when the conventional iterative method was used. In this study, a piecewise elimination method was proposed for hourly LP models, and a graphical method in which the iteration was converted to an algebraic matrix was introduced to greatly improve the computational efficiency. The results demonstrated that the calculation time was reduced from 84.496 s for the conventional solution to 0.017 s for the graphical method in the OOM. The CCHP system SOM contains an OOM, and the calculation time was only 0.41 s when using the graphical method, whereas the conventional iterative method took 2367 s. The impact of gas price upon the optimal operational schemes and the equipment capacity was discussed for a building application in Shanghai. The improved efficiency of the calculation method could be helpful to compare different schemes and to perform sensitivity analyses. (C) 2015 Elsevier B.V. All rights reserved.
机译：冷却供热联合（CCHP）系统获得的经济效益取决于许多因素。在设计阶段尽早优化系统配置和操作方案至关重要。在本文中，建立了针对最小年度总成本（ATC）的规模优化模型（SOM）和针对最小年度能源费用（AEC）的运营优化模型（OOM）。前者用于确定CCHP系统的最佳容量，而后者用于提供最佳方案。 SOM和OOM都包含大量的小时线性规划（LP）模型，并且当使用常规迭代方法时，两个模型的求解过程都证明是非常耗时的。在这项研究中，提出了一种针对每小时LP模型的分段消除方法，并提出了一种将迭代转换为代数矩阵的图形方法，从而大大提高了计算效率。结果表明，在OOM中，计算时间从常规解决方案的84.496 s减少到图形化方法的0.017 s。 CCHP系统的SOM包含一个OOM，使用图形方法时的计算时间仅为0.41 s，而传统的迭代方法则需要2367 s。讨论了天然气价格对最佳操作方案和设备容量的影响，用于上海的建筑应用。计算方法效率的提高可能有助于比较不同的方案并进行灵敏度分析。 （C）2015 Elsevier B.V.保留所有权利。

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