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Large-scale offshore wind energy installation in northwest India: Assessment of wind resource using Weather Research and Forecasting and levelized cost of energy

机译:印度西北部大型海上风能安装:使用天气研究和预测和能源成本评估风力资源

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摘要

In India, there are plans for 5 GW of installed capacity of wind power by 2022. This study establishes that the wind resource along the west coast of Gujarat is sufficient for offshore wind farms of between 500 MW to 2 GW rated power to be operated with capacity factors of 40% to 54%. For the majority of sites, a levelized cost of energy (LCOE) in the range 68 to 86 pound/MWh can be achieved with installation on floating support structures. The LCOE is up to 3.2 pound/MWh greater for installation on bed-fixed structures closer to shore. The wind resource and energy yield are predicted using Weather Research and Forecasting (WRF). Wind speed occurrence is predicted to within 1.3% for multiple sites simultaneously, and this provides wind turbine energy yield to within 3.4%. Wind speeds occurring due to sea breeze are accurately predicted and contribute 6.2% of annual energy generation at the nearshore locations and 3.8% at the deeper water offshore sites. While these events improve the viability of nearshore locations, floating installations offer lower LCOE for most locations along the Gujarat coast.
机译:在印度,有5 GW的风电量的计划到2022年。该研究确定了古吉拉特特西海岸的风力资源足以让海上风电场到500 MW至2 GW额定功率的电力。容量因素为40%至54%。对于大多数网站,在浮动支撑结构上,可以实现68至86磅/米小时的电能(LCoE)的调整成本,并且在浮动支撑结构上可以实现。在床固定结构上更靠近岸上的安装,LCoE越大,安装高达3.2磅/立方米。使用天气研究和预测(WRF)预测风资源和能源产量。当同时发生风速发生到多个站点的1.3%以内,这为风力涡轮机能量产生至3.4%以内。在深海地区的近岸地点的预测和贡献每年能源的6.2%,在深水近海场地贡献6.2%的风速。虽然这些事件改善了近岸地点的可行性,但浮动装置为古教室海岸的大多数地点提供了下部LCoE。

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