ABSTRACT

In this study, modeling of an irreversible thermoelectric heat pump was conducted, and its performance was assessed in terms of exergy for 10, 20, 30 and 40 K difference in temperature (∆T) by changing the values of the design parameters. By employing this model, positive impact of increasing cross-section area, current and thermocouple’s length which in turn increases the exergy efficiency is realized. In addition, diminishing adverse impact of adding more thermocouples on the exergy efficiency of the system is illustrated. Afterward, exergoeconomic performance of the thermoelectric heat pump is evaluated. Then, exergoeconomic factor for each of the system’s components is diagnosed. The value of the mentioned parameter for the whole system is 60.6%, representing the ratio of the investment costs to exergy destruction costs. Considering the two objectives of reducing the unit cost of produced heat and increasing the exergy efficiency, the thermoelectric heat pump was optimized to create a temperature difference (∆T) of 30 K by state of the art optimization algorithms such as MOPSO, SPEA2, PESA2 and response surface method (RSM). Comparing the drawn Pareto of each algorithm reveals that the Pareto drawn by the SPEA2 algorithm had better quality than the other two algorithms. Utilizing SPEA2 algorithm for this study yielded an exergoeconomic factor of 0.5 $/kWh and 14.8%, while the results obtained via evolutionary algorithms in this experiment are optimal compared to the RSM.

摘要

在本研究中，对不可逆热电热泵进行了建模，并根据 10、20、30 和 40 K 温差 (Δ T) 通过改变设计参数的值。通过采用该模型，实现了增加横截面积、电流和热电偶长度从而提高火用效率的积极影响。此外，还说明了减少添加更多热电偶对系统火用效率的不利影响。随后，对热电热泵的热电经济性能进行了评估。然后，诊断系统每个组件的运动经济因素。整个系统的上述参数值为60.6%，代表投资成本与火用破坏成本的比率。考虑到降低单位产热成本和提高火用效率两个目标，对热电热泵进行优化以产生温差（ΔT ) 30 K 通过最先进的优化算法，如 MOPSO、SPEA2、PESA2 和响应面方法 (RSM)。比较每种算法绘制的Pareto可以发现SPEA2算法绘制的Pareto质量优于其他两种算法。在本研究中使用 SPEA2 算法产生了 0.5 $/kWh 和 14.8% 的火力经济系数，而与 RSM 相比，本实验中通过进化算法获得的结果是最佳的。