风能系统的热力学分析

Weifei Hu, Zhen-yu Liu, Jianrong Tan
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引用次数: 5

摘要

本章研究了风能系统的效率性能,通过能源和火用分析来评估。对水平轴风力机的能量、火用分析及效率计算等理论进行了较为清晰的阐述。使用从美国国家航空航天局(NASA)现代研究与应用回顾性分析第2版(MERRA-2)数据集中检索的重新分析的气象数据,选择1.5 MW WT进行热力学分析。开发了Matlab脚本来使用MERRA-2数据集计算能源和能源效率。从理论推导和效率时间序列计算结果来看,能量效率比火用效率具有更高的量级。比较风速、压力、温度、湿度比四个气象变量对WT效率的影响可以看出,虽然风速在风力机效率性能中占主导地位,但其他气象变量也发挥着重要作用。此外,气象变量的不确定性用最佳拟合分布表示,这对于考虑现实气象不确定性的风电性能可靠性评估至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermodynamic Analysis of Wind Energy Systems
This chapter studies the efficiency performance of wind energy systems evaluated by energy and exergy analyses. The theories of energy and exergy analyses along with efficiency calculation for horizontal-axis wind turbines (WTs) are provided by a lucid explanation. A 1.5 MW WT is selected for the thermodynamic analysis using reanalyzed meteorological data retrieved from the National Aeronautics and Space Administration's (NASA) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), data set. Matlab scripts are developed to calculate the energy and exergy efficiencies using the MERRA-2 data set. The energy efficiency presents higher magnitude than the exergy efficiency based on the theoretical derivation and the calculated time series of efficiencies. Comparison of impacts of four meteorological variables (wind speed, pressure, temperature, and humidity ratio) on WT efficiencies shows that although wind speed dominates the turbine's efficiency performance, other meteorological variables also play important roles. In addition, uncertainties of the meteorological variables are represented by the best-fit distributions, which are critically important for evaluating the reliability of wind power performance considering realistic meteorological uncertainty.
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