Modeling of Roof-Mountable Thermoelectric Generators

Catherine S. Salvador, Angela C. Caliwag, Nathaniel Aldivar, V. Angeles, Mark Bernabe
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引用次数: 1

Abstract

Thermoelectric generators (TEGs) are used for the direct conversion of heat energy into electricity. Given that there is an extreme concentration of heat present on house roofs, the application of TEGs on these locations is feasible. This study involves the modeling of thermoelectric generators on house roofs through the use of simulations and an actual prototype. Simulations were done using the matrix laboratory (MATLAB) platform. The mathematical model of the system was created based on the factors that affect the generation capability of the TEG prototype module. The prototype was tested and observed at various locations having different environmental conditions, and other parameters like roof type, height, and solar irradiance were observed at every location. The equation being modeled is Vp=c*(Th–Tc); where c is the elevation constant, and (Th–Tc) is the difference in temperatures between the hot side and the cold side of the TEG. The accuracy and precision of the prototype were measured using the prediction method of the root mean square error (RMSE), and the computed RMSEs are 0.01143, 0.03063, and 0.01975 for plains, areas near the shore, and highlands, respectively.
屋顶安装热电发电机的建模
热电发电机(teg)用于将热能直接转化为电能。鉴于房屋屋顶上存在极端集中的热量,在这些地方应用TEGs是可行的。本研究通过模拟和实际样机对屋顶热电发电机进行建模。利用矩阵实验室(MATLAB)平台进行仿真。根据影响TEG原型模块生成能力的因素,建立了系统的数学模型。在不同的环境条件下对原型进行了测试和观察,并在每个地点观察了屋顶类型,高度和太阳辐照度等其他参数。所建模的方程为Vp=c*(Th–Tc);式中,c为高程常数,(Th–Tc)为热侧和冷侧的温差。采用均方根误差(root mean square error, RMSE)的预测方法对原型的准确度和精密度进行了测量,平原、近岸和高地的RMSE分别为0.01143、0.03063和0.01975。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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