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首页> 外文期刊>Energy Conversion & Management >Parametric based thermo-environmental and exergoeconomic analyses of a combined cycle power plant with regression analysis and optimization
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Parametric based thermo-environmental and exergoeconomic analyses of a combined cycle power plant with regression analysis and optimization

机译：基于参数的联合循环电厂热环境经济分析

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摘要

A combined cycle power plant is analyzed through thermo-environmental, exergoeconomic and statistical methods. The plant is first modeled and parametrically studied to deliberate the effects of various operating parameters on the thermo-environmental quantities, like net power output, energy efficiency, exergy efficiency and CO_2 emissions. These quantities are then correlated with operating parameters through multiple polynomial regression analysis. Moreover, exergoeconomic analysis is performed to look into the impact of operating parameters on fuel cost, capital cost and exergy destruction cost. The optimal operating parameters are then determined using the Nelder-Mead simplex method by defining two objective functions, namely exergy efficiency (maximized) and total cost (minimized). According to the parametric analysis, the operating parameters impart significant effects on the performance and cost rates. The regression models are appearing to be a good estimator of the response variables since appended with satisfactory R~2 values. The optimization results exhibit that the exergy efficiency is increased and cost rates are decreased by selecting the best trade-off values at different power output conditions.
机译：通过热环境，能经济和统计方法分析联合循环发电厂。首先对工厂进行建模和参数研究，以研究各种运行参数对热环境量的影响，例如净功率输出，能源效率，火用效率和CO_2排放。然后，通过多项式回归分析将这些数量与运行参数相关联。此外，进行了能效经济分析，以研究操作参数对燃料成本，资本成本和火用破坏成本的影响。然后，通过定义两个目标函数，即火用效率（最大化）和总成本（最小化），使用Nelder-Mead单纯形法确定最佳运行参数。根据参数分析，运行参数对性能和成本率产生重大影响。由于附加了令人满意的R〜2值，因此回归模型似乎是对响应变量的良好估计。优化结果表明，通过在不同功率输出条件下选择最佳折衷值，可以提高火用效率并降低成本。

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