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Seasonal thermodynamic prediction of the performance of a hybrid solar gas-turbine power plant

机译：混合太阳能燃气轮机电厂性能的季节性热力学预测

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摘要

An entirely thermodynamic model is developed for predicting the performance records of a solar hybrid gas turbine power plant with variable irradiance and ambient temperature conditions. The model considers a serial solar hybridization in those periods when solar irradiance is high enough. A combustion chamber allows to maintain an approximately constant inlet temperature in the turbine ensuring a stable power output. The overall plant thermal efficiency is written as a combination of the thermal efficiencies of the involved subsystems and the required heat exchangers. Numerical values of model input parameters are taken from a central tower installation recently developed near Seville, Spain. Real data for irradiance and external temperature are taken in hourly terms. The curves of several variables are obtained for representative days of all seasons: overall plant efficiency, solar subsystem efficiency, solar share, fuel conversion rate, and power output. The fuel consumption assuming natural gas fueling is calculated and the reduction in greenhouse emissions is discussed. The model can be applied to predict the daily and seasonal evolution of the performance of real installations in terms of a reduced set of parameters. (C) 2016 Elsevier Ltd. All rights reserved.
机译：开发了一个完整的热力学模型，以预测具有可变辐照度和环境温度条件的太阳能混合式燃气轮机发电厂的性能记录。该模型考虑了在太阳辐照度足够高的那些时期进行的一系列太阳能杂交。燃烧室允许在涡轮机中维持近似恒定的入口温度，从而确保稳定的功率输出。整个工厂的热效率写为所涉及子系统和所需热交换器的热效率的组合。模型输入参数的数值取自最近在西班牙塞维利亚附近开发的中央塔式设备。辐照度和外部温度的实际数据以小时为单位。获得所有季节中代表天的几个变量的曲线：总体工厂效率，太阳能子系统效率，太阳能份额，燃料转化率和功率输出。假设使用天然气作为燃料，则可计算出燃料消耗量，并讨论了温室气体排放量的减少情况。该模型可用于根据减少的参数集预测实际安装的性能的每日和季节性变化。 （C）2016 Elsevier Ltd.保留所有权利。

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