Impact of extreme events on conversion efficiency of wave energy converter
Impact of extreme events on conversion efficiency of wave energy converter
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DOI：
10.1002/ese3.336
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发表时间：
2019-09
影响因子：
3.8
通讯作者：
T. Chakraborty;M. Majumder
中科院分区：
文献类型：
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作者：
T. Chakraborty;M. Majumder
由于使用化石燃料而不受控制的大量温室气体排放对全球变暖有很大影响。由于全球变暖，地球温度不断升高，从而改变了各种自然现象的模式，例如波高和风速。波浪能资源是减少全球变暖和气候变化影响的理想替代方案。主要障碍之一在于极端事件的发生可能危及悬浮在海浪中的波浪发电站。为了更好地了解极端事件对波浪能发电的影响，本次研究以利用效率函数（UEF）作为指示性指标函数，对极端事件下波浪能转换器的利用效率进行了综合分析。通过多项式神经网络 (PNN) 架构模拟极端事件的影响，并注意到未来场景中 UEF 的变化。结果表明，2050-2060年的时间段对WEC的利用效率影响最大，利用效率变化了5.1%。
Uncontrolled high emission of greenhouse gases due to the use of fossil fuels has high impact on global warming. Due to this global warming, the earth's temperature is increasing and consequently has changed the patterns of various natural phenomena such as wave height and wind speed. Wave power energy resources are ideal alternative to reduce the effects of global warming and climate change. One of the major obstacles lies in the fact that the occurrence of extreme events can jeopardize the wave power plant suspended in the ocean waves. In order to better understand the impact of extreme events on the wave energy generation, a comprehensive analysis of utilization efficiency of wave energy converters with respect to extreme events was conducted in the present investigation with the help of utilization efficiency function (UEF) as an indicative index function. The effect of the extreme events was simulated by the polynomial neural network (PNN) architectures, and change in UEF in the future scenarios was noted. According to the results, the maximum impact on the utilization efficiency of the WEC was observed in the time slab of 2050‐2060, where 5.1% change in utilization efficiency was observed.