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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
Wind Energy ( IF 4.0 ) Pub Date : 2020-09-09 , DOI: 10.1002/we.2566
Rohan Kumar 1 , Tim Stallard 1 , Peter K. Stansby 1
Affiliation  

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 £/MWh can be achieved with installation on floating support structures. The LCOE is up to 3.2 £/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.

中文翻译:

印度西北部的大型海上风能发电设备:使用“天气研究与预测”评估风能,并平均化能源成本

在印度,计划到2022年将风电装机容量达到5吉瓦。这项研究表明,古吉拉特邦西海岸的风能足以运行500兆瓦至2吉瓦额定功率的海上风电场。容量系数为40%至54%。对于大多数站点,通过在浮动支撑结构上进行安装,可以实现平均能源成本(LCOE)在68至86£/ MWh之间。如果安装在靠近海岸的固定床结构上,LCOE最高可提高3.2英镑/兆瓦时。使用天气研究和预报(WRF)预测风资源和能源产量。预计多个站点同时发生的风速将在1.3%以内,这将使风力涡轮机的能量产出达到3.4%以内。可以准确预测由于海风而产生的风速并做出贡献6。近岸地区的年发电量占2%,深水海上场所的年发电量占3.8%。这些事件虽然改善了近岸地点的生存能力,但浮动装置为古吉拉特邦沿岸的大多数地点提供了较低的LCOE。
更新日期:2020-09-09
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