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Article

Uncertainty Analysis of Performance Parameters of a Hybrid Thermoelectric Generator Based on Sobol Sequence Sampling

1
School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China
2
College of Civil Engineering, Hunan University, Changsha 410082, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(16), 9180; https://doi.org/10.3390/app15169180 (registering DOI)
Submission received: 19 June 2025 / Revised: 3 August 2025 / Accepted: 15 August 2025 / Published: 20 August 2025

Abstract

Hybrid thermoelectric generators (HTEGs) play a pivotal role in sustainable energy conversion by harnessing waste heat through the Seebeck effect, contributing to global efforts in energy efficiency and environmental sustainability. In practical sustainable energy systems, HTEG output performance is significantly influenced by uncertainties in the operational parameters (such as temperature differences and load resistance), material properties (including Seebeck coefficient and resistance), and structural configurations (like the number of series/parallel thermoelectric components), which impact both efficiency and system stability. This study employs the Sobol-sequence-sampling method to characterize these parameter uncertainties, analyzing their effects on HTEG output power and conversion efficiency using mean values and standard deviations as evaluation metrics. The results show that higher temperature differences enhance output performance but reduce stability, a larger load resistance decreases performance while improving stability, thermoelectric materials with high Seebeck coefficients and low resistance boost efficiency at the expense of stability, increasing series-connected components elevates performance but reduces stability, parallel configurations enhance power output yet decrease efficiency and stability, and greater contact thermal resistances diminish performance while enhancing system robustness. This research provides theoretical guidance for optimizing HTEGs in sustainable energy applications, enabling the development of more reliable, efficient, and eco-friendly thermoelectric systems that balance performance with environmental resilience for long-term sustainable operation.
Keywords: hybrid thermoelectric generator (HTEG); sustainability; Sobol sequence sampling; output response; parameter dispersion analysis hybrid thermoelectric generator (HTEG); sustainability; Sobol sequence sampling; output response; parameter dispersion analysis

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MDPI and ACS Style

Zhang, F.; Tian, Y.; Liu, Q.; Gao, Y.; Wang, X.; Liu, Z. Uncertainty Analysis of Performance Parameters of a Hybrid Thermoelectric Generator Based on Sobol Sequence Sampling. Appl. Sci. 2025, 15, 9180. https://doi.org/10.3390/app15169180

AMA Style

Zhang F, Tian Y, Liu Q, Gao Y, Wang X, Liu Z. Uncertainty Analysis of Performance Parameters of a Hybrid Thermoelectric Generator Based on Sobol Sequence Sampling. Applied Sciences. 2025; 15(16):9180. https://doi.org/10.3390/app15169180

Chicago/Turabian Style

Zhang, Feng, Yuxiang Tian, Qingyang Liu, Yang Gao, Xinhe Wang, and Zhongbing Liu. 2025. "Uncertainty Analysis of Performance Parameters of a Hybrid Thermoelectric Generator Based on Sobol Sequence Sampling" Applied Sciences 15, no. 16: 9180. https://doi.org/10.3390/app15169180

APA Style

Zhang, F., Tian, Y., Liu, Q., Gao, Y., Wang, X., & Liu, Z. (2025). Uncertainty Analysis of Performance Parameters of a Hybrid Thermoelectric Generator Based on Sobol Sequence Sampling. Applied Sciences, 15(16), 9180. https://doi.org/10.3390/app15169180

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