Cost optimization of a hybrid composite flywheel rotor with a split-type hub using combined analytical/numerical models
Cost optimization of a hybrid composite flywheel rotor with a split-type hub using combined analytical/numerical models
复制标题
使用组合分析/数值模型对具有分体式轮毂的混合复合材料飞轮转子进行成本优化
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
P. Mertiny
中科院分区：
文献类型：
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作者：
M. Krack;M. Secanell;P. Mertiny
给出了一种分体式轮毂飞轮的优化设计方法。由于成本在固定式飞轮储能应用中起着决定性的作用，因此需要在能量和成本之间进行权衡。应用标度技术，将多目标设计问题归结为单目标能量成本比最大化问题。对分析模型和有限元模型进行了研究。研究发现，后者的计算成本比分析模型高三个数量级以上，而分析模型只能被视为粗略的近似值。为了在保持有限元模型的高精度和大建模深度的同时减少计算量，研究了多保真方法。使用基于代理的优化策略，与仅使用有限元模型相比，计算成本仅降低了三分之一。采用非线性内点法求解最优轮缘厚度和转速。展示了分体式轮毂架构的好处。
A procedure to find the optimal design of a flywheel with a split-type hub is presented. Since cost plays a decisive role in stationary flywheel energy storage applications, a trade-off between energy and cost is required. Applying a scaling technique, the multi-objective design problem is reduced to the maximization of the energy-per-cost ratio as the single objective. Both an analytical and a finite element model were studied. The latter was found to be more than three orders of magnitude more computationally expensive than the analytical model, while the analytical model can only be regarded as a coarse approximation. Multifidelity approaches were examined to reduce the computational expense while retaining the high accuracy and large modeling depth of the finite element model. Using a surrogate-based optimization strategy, the computational cost was reduced to only one third in comparison to using only the finite element model. A nonlinear interior-point method was employed to find the optimal rim thicknesses and rotational speed. The benefits of the split-type hub architecture were demonstrated.