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Optimization of a Solar-Driven Trigeneration System with Nanofluid-Based Parabolic Trough Collectors

机译:基于纳米流体的抛物槽收集器的太阳能驱动三代发电系统的优化

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The objective of this work was to optimize and to evaluate a solar-driven trigeneration system which operates with nanofluid-based parabolic trough collectors. The trigeneration system includes an organic Rankine cycle (ORC) and an absorption heat pump operating with LiBr-H 2 O which is powered by the rejected heat of the ORC. Toluene, n -octane, Octamethyltrisiloxane (MDM) and cyclohexane are the examined working fluids in the ORC. The use of CuO and Al 2 O 3 nanoparticles in the Syltherm 800 (base fluid) is investigated in the solar field loop. The analysis is performed with Engineering Equation Solver (EES) under steady state conditions in order to give the emphasis in the exergetic optimization of the system. Except for the different working fluid investigation, the system is optimized by examining three basic operating parameters in all the cases. The pressure in the turbine inlet, the temperature in the ORC condenser and the nanofluid concentration are the optimization variables. According to the final results, the combination of toluene in the ORC with the CuO nanofluid is the optimum choice. The global maximum exergetic efficiency is 24.66% with pressure ratio is equal to 0.7605, heat rejection temperature 113.7 °C and CuO concentration 4.35%.
机译:这项工作的目的是优化和评估由太阳能驱动的三代发电系统,该系统与基于纳米流体的抛物槽收集器一起工作。三代发电系统包括有机朗肯循环(ORC)和以LiBr-H 2 O运行的吸收式热泵,该泵由ORC的废热提供动力。甲苯,正辛烷,八甲基三硅氧烷(MDM)和环己烷是ORC中检查的工作流体。在太阳场回路中研究了Syltherm 800(基础流体)中CuO和Al 2 O 3纳米粒子的使用。为了在系统的能量优化上给予重点,使用工程方程求解器(EES)在稳态条件下进行了分析。除了进行不同的工作液检查外,在所有情况下都通过检查三个基本操作参数对系统进行了优化。涡轮机入口中的压力,ORC冷凝器中的温度和纳米流体浓度是最优化变量。根据最终结果,ORC中的甲苯与CuO纳米流体的组合是最佳选择。当压力比等于0.7605,排热温度113.7°C和CuO浓度4.35%时,全球最大能效为24.66%。

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