Metal hydride offers an efficient and cost-effective method to store hydrogen. In this study, Taguchi method coupled with grey relational analysis was used to optimize the design parameters i.e., diameter of helical tube (d_h), major diameter of helical tube (d_m), number of turns of helical tube (N) and velocity of heat transfer fluid ( V _f ) for the helical tube heat exchanger embedded inside metal hydride bed to achieve minimum desorption time (t_d) for 80% desorption and minimum outlet temperature (T₀) of heat transfer fluid (HTF). The performance of all experiments in the orthogonal array used for Taguchi and Grey relational analysis was evaluated by 3-D numerical simulations performed in commercial software COMSOL 5.3a. This stepwise methodology is significantly computationally efficient as the number of required simulations reduced by 90% as compared to the traditional parametric study-based methodology. Further, this methodology enables to estimate an optimized level of the parameters by considering all the objective functions (t_d, T₀) simultaneously. Later, the performance of the optimally designed systems was compared with the orthogonal array experiments and it was found out that the optimized system designs have better performance in terms of the objective parameters i.e., t_d and T₀ when compared with the other experiments of orthogonal array. These optimized systems will then be used for refrigeration and cooling applications.

金属氢化物提供了一种高效且具有成本效益的储氢方法。本研究采用田口法结合灰色关联分析法对螺旋管直径(d _h )、螺旋管长径(d _m )、螺旋管匝数(N)和速度等设计参数进行优化。嵌入金属氢化物床内的螺旋管换热器的传热流体 ( V _f ) 以实现80% 解吸的最短解吸时间 (t _d ) 和最低出口温度 (T ₀ ) 的传热流体 (HTF)。用于田口和格雷关系分析的正交阵列中所有实验的性能通过在商业软件 COMSOL 5.3a 中执行的 3-D 数值模拟进行评估。由于与传统的基于参数研究的方法相比，所需的模拟次数减少了 90%，因此这种逐步方法的计算效率非常高。此外，该方法能够通过考虑所有目标函数 (t _d , T ₀） 同时地。后来，将优化设计的系统的性能与正交阵列实验进行了比较，发现优化的系统设计在目标参数 t _d和 T _{0 方面}与其他正交实验相比具有更好的性能。大批。这些优化的系统随后将用于制冷和冷却应用。