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首页> 外文期刊>International journal of green energy >THERMOECONOMIC METHODOLOGY FOR ANALYSIS AND OPTIMIZATION OF A HYBRID SOLAR THERMAL POWER PLANT
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THERMOECONOMIC METHODOLOGY FOR ANALYSIS AND OPTIMIZATION OF A HYBRID SOLAR THERMAL POWER PLANT

机译：混合太阳能热电厂分析和优化的热经济学方法

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摘要

Energy and exergy; studies together with cost analysis for power plants design and multi-process chemical industries received much attention recently. In the present study, with second law analysis (based on the exergy concept), thermoeconomic analysis of a 500 kW hybrid solar thermal power plant (STPP) with parabolic collectors has been simulated. Its applications include the evaluation of utility costs such as products or supplies of production plants. These costs are applicable for feasibility studies, investment decisions, on comparing alternative techniques and operating conditions, for a cost-effective section of equipments during an installation, and an exchange or expansion of the energy system. In addition to simulation of thermal power plant operating condition, the study is aimed to minimizing objective function including investment cost of equipments and cost of exergy destruction. Optimization process is done by using thermoeconomic principles and genetic algorithm. The analysis shows that objective function for the optimum operating condition reduced by 28.4%. Also the cost of electricity produced by hybrid solar power plant in the optimum design is 2.5 cent(kWh)~(-1) lower than the base case. Finally, sensitivity analysis is carried out to study the effect of changes in the unit cost of electricity to the system important parameters such as solar plant size, interest rate, fuel cost, solar operation period, and system construction period.
机译：能量和火用；最近，有关发电厂设计和多工艺化学工业的研究以及成本分析受到了广泛关注。在本研究中，利用第二定律分析（基于火用概念），对具有抛物线收集器的500 kW混合太阳能热电厂（STPP）的热经济分析进行了模拟。它的应用包括评估公用事业成本，例如产品或生产工厂的供应。这些成本适用于可行性研究，投资决策，比较替代技术和运行条件，安装过程中设备的经济有效部分以及能源系统的更换或扩展。除了模拟火力发电厂的运行状况外，该研究还旨在最大程度地减少目标功能，包括设备投资成本和火用破坏成本。利用热经济学原理和遗传算法完成优化过程。分析表明，最佳操作条件下的目标函数降低了28.4％。在最佳设计中，混合太阳能发电厂产生的电力成本也比基本情况低2.5美分（kWh）〜（-1）。最后，进行敏感性分析，以研究单位电力成本的变化对系统重要参数的影响，这些重要参数包括太阳能发电厂的规模，利率，燃料成本，太阳能运行期和系统建设期。

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