M Abdul Akbar, V Mustafa
Department of Civil Engineering, National Institute of Technology, NIT Campus (P.O), Calicut, Kerala, 673 601, India.
Department of Civil Engineering, Madanapalle Institute of Technology & Science, Madanapalle, 517325, India.
MethodsX. 2019 Mar 20;6:567-581. doi: 10.1016/j.mex.2019.03.003. eCollection 2019.
The use of dimensionless numbers like Reynolds Number, Froude Number and Webber Number has historically simplified the process of comparison of phenomena irrespective of their scales and in their classification into different categories. This paper deals with the derivational aspects of a dimensionless parameter named "Demand Factor" for optimization of Vertical Axis Wind Turbine (VAWT). •The input parameters considered in this derivation are power, wind velocity, the aspect ratio of the turbine, density of air and viscosity of air and the output parameters are length of the blade, number of blades, chord length, aerofoil shape, radius of the turbine and angular velocity at rated speed.•Four rounds of variable definition trials are carried out through the arrangement of the input parameters on the numerator and denominator positions. With the filtering out of unsuitable combinations at different stages of elimination, out of 32 combinations the expression that holds the potential to represent demand factor was identified. The process of carrying out single point optimization based on Demand factor expression is discussed along with the steps involved in numerically calculating output parameters.•The expression of Demand factor developed provides a different perspective on the process of design and optimization of VAWTs.
像雷诺数、弗劳德数和韦伯数这样的无量纲数的使用，在历史上简化了现象比较的过程，而无需考虑其规模，并有助于将它们分类到不同类别中。本文探讨了一个名为“需求因子”的无量纲参数的推导方面，以优化垂直轴风力涡轮机（VAWT）。•此推导中考虑的输入参数为功率、风速、涡轮机的长宽比、空气密度和空气粘度，输出参数为叶片长度、叶片数量、弦长、翼型形状、涡轮机半径和额定速度下的角速度。•通过将输入参数排列在分子和分母位置进行了四轮变量定义试验。在不同的消除阶段筛选出不合适的组合后，从32种组合中确定了有可能表示需求因子的表达式。讨论了基于需求因子表达式进行单点优化的过程以及数值计算输出参数所涉及的步骤。•所开发的需求因子表达式为垂直轴风力涡轮机的设计和优化过程提供了一个不同的视角。
