Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method

Simon Lineykin; Alon Kuperman; Moshe Sitbon

doi:10.1109/CPE-POWERENG58103.2023.10227434

Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method

Simon Lineykin, Alon Kuperman, Moshe Sitbon

Department of Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

When modeling a thermoelectric harvester operating at low (below 100 degrees Celsius) and ultra-low (below 10 degrees Celsius) temperature gradients, the output power of the harvester is small, which means that even minor errors in the model parameters can lead to an error exceeding the result itself. The proposed dimensional analysis allows us to narrow down the number of model parameters, leaving only those parameters that can be measured with sufficient accuracy. In addition, a guide for the optimal selection of a thermoelectric module for a given thermal path is proposed. Experimental data confirm the theoretical analysis.

Original language	English
Title of host publication	CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350300048
DOIs	https://doi.org/10.1109/CPE-POWERENG58103.2023.10227434
State	Published - 1 Jan 2023
Event	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia Duration: 14 Jun 2023 → 16 Jun 2023

Publication series

Name	CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering

Conference

Conference	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
Country/Territory	Estonia
City	Tallinn
Period	14/06/23 → 16/06/23

Keywords

dimensional analysis
renewable energy
thermoelectric harvester
thermoelectrics
waste heat harvesting

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CPE-POWERENG58103.2023.10227434

Cite this

Lineykin, S., Kuperman, A., & Sitbon, M. (2023). Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method. In CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227434

Lineykin, Simon ; Kuperman, Alon ; Sitbon, Moshe. / Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method. CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers, 2023. (CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering).

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abstract = "When modeling a thermoelectric harvester operating at low (below 100 degrees Celsius) and ultra-low (below 10 degrees Celsius) temperature gradients, the output power of the harvester is small, which means that even minor errors in the model parameters can lead to an error exceeding the result itself. The proposed dimensional analysis allows us to narrow down the number of model parameters, leaving only those parameters that can be measured with sufficient accuracy. In addition, a guide for the optimal selection of a thermoelectric module for a given thermal path is proposed. Experimental data confirm the theoretical analysis.",

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Lineykin, S, Kuperman, A & Sitbon, M 2023, Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method. in CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, Institute of Electrical and Electronics Engineers, 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023, Tallinn, Estonia, 14/06/23. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227434

Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method. / Lineykin, Simon; Kuperman, Alon; Sitbon, Moshe.
CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers, 2023. (CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - When modeling a thermoelectric harvester operating at low (below 100 degrees Celsius) and ultra-low (below 10 degrees Celsius) temperature gradients, the output power of the harvester is small, which means that even minor errors in the model parameters can lead to an error exceeding the result itself. The proposed dimensional analysis allows us to narrow down the number of model parameters, leaving only those parameters that can be measured with sufficient accuracy. In addition, a guide for the optimal selection of a thermoelectric module for a given thermal path is proposed. Experimental data confirm the theoretical analysis.

AB - When modeling a thermoelectric harvester operating at low (below 100 degrees Celsius) and ultra-low (below 10 degrees Celsius) temperature gradients, the output power of the harvester is small, which means that even minor errors in the model parameters can lead to an error exceeding the result itself. The proposed dimensional analysis allows us to narrow down the number of model parameters, leaving only those parameters that can be measured with sufficient accuracy. In addition, a guide for the optimal selection of a thermoelectric module for a given thermal path is proposed. Experimental data confirm the theoretical analysis.

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KW - renewable energy

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KW - thermoelectrics

KW - waste heat harvesting

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Lineykin S, Kuperman A, Sitbon M. Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method. In CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers. 2023. (CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering). doi: 10.1109/CPE-POWERENG58103.2023.10227434

Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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