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

Ariel University, Ben-Gurion University of the Negev

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

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 Inc.
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

UN SDGs

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

SDG 7 Affordable and Clean Energy

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

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 Inc.. 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 Inc., 2023. (CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering).

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

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.",

keywords = "dimensional analysis, renewable energy, thermoelectric harvester, thermoelectrics, waste heat harvesting",

author = "Simon Lineykin and Alon Kuperman and Moshe Sitbon",

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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 Inc., 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 Inc., 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

TY - GEN

T1 - Estimation of the power of a thermoelectric harvester for low and ultra-low temperature gradients using a dimensional analysis method

AU - Lineykin, Simon

AU - Kuperman, Alon

AU - Sitbon, Moshe

PY - 2023/1/1

Y1 - 2023/1/1

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.

KW - dimensional analysis

KW - renewable energy

KW - thermoelectric harvester

KW - thermoelectrics

KW - waste heat harvesting

UR - https://www.scopus.com/pages/publications/85171559035

U2 - 10.1109/CPE-POWERENG58103.2023.10227434

DO - 10.1109/CPE-POWERENG58103.2023.10227434

M3 - Conference contribution

T3 - CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023

Y2 - 14 June 2023 through 16 June 2023

ER -

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 Inc. 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

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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