首页> 外文会议>ASME international conference on energy sustainability >RESPONSE SURFACE BASED OPTIMIZATION OF SOLAR COLLECTOR INTEGRATED WITH AN AMMONIA-WATER COMBINED POWER/COOLING CYCLE SUPPORTED BY EXERGY ANALYSIS
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RESPONSE SURFACE BASED OPTIMIZATION OF SOLAR COLLECTOR INTEGRATED WITH AN AMMONIA-WATER COMBINED POWER/COOLING CYCLE SUPPORTED BY EXERGY ANALYSIS

机译:基于响应面的太阳能集热器综合优化的氨水混合动力/冷却循环对太阳能集热器的优化

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Finding optimal operating conditions of solar-based power and cooling systems is always a challenge. Performance of these systems is highly dependent on several important parameters, which not only impact the long-term efficiency but also its technical and economic feasibility. This paper studies the operation/configuration problem of an ammonia-water power and cooling cycle using an exergetic analysis. Thermodynamic performance of the combined cycle was addressed by using analysis of variance and multiple linear regression analysis. Modeling was done in Matlab®, using Refprop 9.0 to calculate the thermodynamic properties of the ammonia-water mixture. Convergence issues were observed on the thermodynamic properties estimation carried out by Refprop when the stream had high ammonia mass fraction. To solve this issue an averaging algorithm was implemented online to estimate such properties using pure ammonia data and high, but stable, ammonia concentration data. After this implementation, small differences between current and reference model were seen. Optimum operating conditions were obtained using response surface technique. The response variable used was the ratio between exergetic efficiency and exergy destruction. Results showed that the response variable is mainly influenced by the ammonia concentration, pressure ratio, turbine efficiency and temperature gradient in the heat exchanger. Finally integration of the power/cooling cycle with a solar field was performed using two types of concentrated solar collectors: Linear Fresnel Collector (LFC) and Parabolic Trough Collector (PTC). The analysis showed that LFC technology can be a viable alternative for small scale applications combined with power/cooling systems.
机译:寻找基于太阳能的电源和冷却系统的最佳运行条件始终是一个挑战。这些系统的性能高度依赖于几个重要参数,这些参数不仅影响长期效率,而且还影响其技术和经济可行性。本文采用能效分析方法研究了氨水动力和冷却循环的运行/配置问题。通过使用方差分析和多元线性回归分析解决了联合循环的热力学性能。使用Refprop 9.0在Matlab®中进行建模,以计算氨水混合物的热力学性质。当料流中氨的质量分数较高时,在Refprop进行的热力学性质估算中会发现收敛问题。为了解决这个问题,在线使用平均算法,使用纯氨数据和高但稳定的氨浓度数据来估算此类特性。在此实现之后,可以看到当前模型与参考模型之间的细微差别。使用响应面技术获得了最佳操作条件。所使用的反应变量是精力充沛的效率与能量消灭的比率。结果表明,响应变量主要受热交换器中氨浓度,压力比,涡轮效率和温度梯度的影响。最后,使用两种类型的集中式太阳能集热器(线性菲涅尔集热​​器(LFC)和抛物槽集热器(PTC))将功率/制冷循环与太阳能场进行集成。分析表明,对于与电源/冷却系统结合的小规模应用,LFC技术可以成为可行的替代方案。

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