Aerodynamic optimization of a horizontal axis wind turbine blade is performed for maximizing total annual energy production in three different sites located in the east part of Iran. While most researches have focused on the optimization of wind turbine blades for a specific location or air velocity, the main objective in practical problems is to find the best single design for multiple locations giving the highest energy output. The current paper addresses this issue and shows that multi‐site optimization of wind turbine blades is the key to maximizing energy extraction at multiple sites while reducing the manufacturing costs by proposing one optimum blade for all sites. In order to achieve this goal, the known Riso wind turbine blade is used as the base geometry and is optimized using a modified blade element momentum (BEM) theory and genetic algorithm. The objective function is maximizing sum of energy production at the selected sites. Blade twist and chord length distributions are chosen as design parameters. By running various optimization cases, it is shown that the multi‐site optimum blade has the highest sum of annual energy production by 4.45% increase compared with the Riso wind turbine blade.

中文翻译：

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伊朗东部的风力涡轮机叶片的多站点空气动力学优化，以实现最大的年度能源生产

对水平轴风力涡轮机叶片进行空气动力学优化，以使位于伊朗东部的三个不同地点的年总能源产量最大化。虽然大多数研究都集中在针对特定位置或风速的风力涡轮机叶片的优化上，但实际问题的主要目标是为多个位置找到最佳的单一设计，以提供最高的能量输出。当前的论文解决了这个问题，并显示了对风轮机叶片进行多站点优化是在多个站点上最大化能量提取，同时通过为所有站点提出一个最佳叶片来降低制造成本的关键。为了实现这个目标，已知的Riso风力涡轮机叶片用作基本几何形状，并使用改进的叶片元素动量（BEM）理论和遗传算法进行了优化。目标函数是最大化所选站点的能源生产总和。选择叶片扭转和弦长分布作为设计参数。通过运行各种优化案例，可以看出，与Riso风力涡轮机叶片相比，多站点最佳叶片的年度能源总产量最高，增加了4.45％。