Simultaneous Optimization of Process Operational and Material Parameters for a 2-Bed Adsorption Refrigeration Process
Simultaneous Optimization of Process Operational and Material Parameters for a 2-Bed Adsorption Refrigeration Process
复制标题
DOI：
10.3390/chemengineering4020031
复制
发表时间：
2020-05
期刊：
影响因子：
--
通讯作者：
M. Scherle;U. Nieken
中科院分区：
文献类型：
--
作者：
M. Scherle;U. Nieken
在过程工程中，优化通常是在不同时考虑材料和过程的情况下进行的。这一问题将在下文中讨论。提出了一种基于模型的优化方法来提高吸附式热泵的性能。优化分两步进行。首先，我们优化的操作参数，周期时间，和吸附剂的厚度为一个给定的吸附材料。在第二步中，我们使用的材料模型来预测传热和传质和吸附容量的结构材料参数。这使我们能够改变结构材料参数，并计算每种吸附剂的最佳操作参数。因此，两步优化识别最佳材料特性以及相应的最佳操作参数。作为约束条件，使用最小比冷却功率（SCP）和传热管的被动质量。性能系数（COP）作为目标函数。我们示范性地展示了两床吸附式制冷机的方法，碳化物衍生的碳作为吸附剂，甲醇作为吸附剂和硝酸硼作为添加剂，以提高热导率。该方法可以很容易地扩展到多床装置和更复杂的材料模型。
In process engineering, optimization is usually carried out without the simultaneous consideration of material and process. This issue is addressed in the following contribution. A model-based optimization is presented to improve the performance of adsorption heat pumps. Optimization is carried out in two steps. First, we optimize the operational parameters, the cycle time, and the thickness of the adsorbent for a given adsorption material. In a second step we use a material model to predict heat and mass transfer and adsorption capacity from structural material parameters. This allows us to vary the structural material parameters and calculate the optimal operational parameters for each adsorbent. The two-step optimization thus identifies optimal material properties together with corresponding optimal operational parameters. As constraints, a minimum specific cooling power (SCP) and the passive mass of heat transfer pipes are used. The coefficient of performance (COP) is taken as the objective function. We exemplarily demonstrate the approach for a two-bed adsorption chiller, carbide-derived carbon as the adsorbent, methanol as the sorptive and boron-nitrate as additive to improve heat conductivity. The approach can be easily extended to multi-bed installations and more sophisticated material models.