Extraction of temperature dependent parameters for an electrothermal model of thermoelectric energy harvester

Dziurdzia, P.; Bratek, Piotr; Brzozowski, Ireneusz; Gelmuda, Wojciech; Ostrowski, Jacek C.; Kos, Andrzej

doi:10.1109/mixdes.2016.7529769

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…In [61,62], experimental techniques for the determination of these parameters (from observable variables obtained from temperature, voltage, and electric current measurements made on a working TE device) were proposed. Another more convenient technique for extracting temperature-dependent data concerning the three critical parameters of a heat energy harvesting system were proposed in [63] and was also used in this work. The temperature functions of R, S, and K were calculated from the performance plots provided by the TEM manufacturer.…”

Section: Electrothermal Model Of a Teg Based On The Low-cost Themoele...mentioning

confidence: 99%

An Efficient Electrothermal Model of a Thermoelectric Converter for a Thermal Energy Harvesting Process Simulation and Electronic Circuits Powering

Dziurdzia,

Bratek,

Markiewicz

2023

Energies

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This paper deals with an electrothermal model of a thermoelectric converter dedicated to performing simulations of coupled thermal and electrical phenomena taking place in harvesting processes. The proposed model is used to estimate the electrical energy gain from waste heat that would be sufficient to supply electronic circuits, in particular autonomous battery-less nodes of wireless sensor networks (WSN) and Internet of Things (IoT) devices. The developed model is not limited to low-power electronic solutions such as WSN or IoT; it can also be scaled up and applied to simulations of considerably higher thermal power conversion. In this paper, a few practical case studies are presented that show the feasibility and suitability of the proposed model for complex simultaneous simulation processes in both the electrical and thermal domains. The first example deals with a combined simulation of the electrothermal model of a thermoelectric generator (TEG) and an electronic harvester circuit based on Analog Devices’ power management integrated circuit LTC3108. The second example relates to the thermalization effect in heat sink-less harvesting applications that could be mitigated by a pulse mode operation. The unique contribution and advancement of the model is the hierarchical structure for scaling up and down, incorporating the complexity of the Seebeck effect, the Joule effect, heat conduction, as well as the temperature dependence of the used materials and the thermoelectric pellet geometries. The simulations can be performed in steady as well as transient states under changing electrical loads and temperatures.

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Section: Electrothermal Model Of a Teg Based On The Low-cost Themoele...mentioning

confidence: 99%

An Efficient Electrothermal Model of a Thermoelectric Converter for a Thermal Energy Harvesting Process Simulation and Electronic Circuits Powering

Dziurdzia,

Bratek,

Markiewicz

2023

Energies

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“…For small changes in temperature it could be approximated by S ≈ V T . From characteristics of thermoelectric generators [12]- [14], we have other formulas describing power balance of a working TEG:…”

Section: A Electrothermal Model Of a Peltier Modulementioning

confidence: 99%

Software Controlled Low Cost Thermoelectric Energy Harvester for Ultra-Low Power Wireless Sensor Nodes

Markiewicz

Dziurdzia

Konieczny³

et al. 2020

IEEE Access

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General hardware architecture of an energy-harvested wireless sensor network node (EH-WSN) can be divided into power, sensing, computing and communication subsystems. Interrelation between these subsystems in combination with constrained energy supply makes design and implementation of EH-WSN a complex and challenging task. Separation of these subsystems into distinct hardware modules simplifies the design process and makes the architecture and software more generic, leading to more flexible solutions. From the other hand, tightly coupling these subsystems gives more room for optimizations at the price of increased complexity of the hardware and software. Additional engineering effort could be justified by a smaller, cheaper hardware, and more energy-efficient a wireless sensor node. The aim of this paper is to push further technical and economical boundaries related to EH-WSN by proposing a novel architecture which-by tightly coupling software and hardware of power, computing, and communication subsystems-allows the wireless sensor node to be powered by a thermoelectric generator working with about 1.5 • C temperature difference while keeping the cost of all electronic components used to build such a node below 9 EUR (in volume).

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“…Since NAMIC Corp., Ltd. does not provide software to calculate TEC performance, therefore, the method in Reference [12] cannot be implemented. At the same time, the experimental equipment used to maintain the TEC for a series of a certain temperature in Reference [13,14] was complicated and instantaneous current change also needs to maintain the TEC for a series of a certain temperature.…”

Section: Verification Of the Validity Of The Extracted Parametersmentioning

confidence: 99%

“…Palacios et al [11] extracted module parameters by taking multiple points from performance curves to reduce the error and the performance analyzed with extracted module parameters was verified accord with experimental results when TEC was used as thermoelectric power generation. Dziurdzia et al [12] used the software provided by Laird Technologies, Inc. (Saint Louis, MO, USA), the temperature difference between the hot and cold ends was set to 0K at different hot end temperatures and the change of the module electric resistance with temperature was calculated by the relationship between voltage and current, the seebeck coefficient and thermal conductivity were calculated by the same way.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Temperature-Dependent Thermoelectric Material Parameters of a Thermoelectric Cooler by the Non-Linear Least Squares Method

et al. 2019

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This paper presents a method of extracting temperature-dependent parameters of thermoelectric material from the operating conditions of thermoelectric cooler (TEC). Based on the finite element method of calculating TEC’s performance, non-linear least squares method is used for extracting temperature-dependent material parameters including the seebeck coefficient, electrical resistivity and thermal conductivity (α, ρ, κ) as operating current, thermal load and hot end temperature are taken as inputs and cooling temperature is taken as output. To further improve the voltage calculation accuracy, the electric resistance error factor which includes electrical contact resistance and the calculation model error is extracted with the voltage being output on the basis of extracted material parameters. The cooling temperature and voltage of another TEC with the same thermoelectric material are recalculated by the extracted parameters and the exact parameters provided by manufacturer respectively. Compared with the experimental results, the extracted material parameters have the advantages of high accuracy, wide application ranges and easily implementing in evaluating TECs’ performance.

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Extraction of temperature dependent parameters for an electrothermal model of thermoelectric energy harvester

Cited by 4 publications

References 17 publications

An Efficient Electrothermal Model of a Thermoelectric Converter for a Thermal Energy Harvesting Process Simulation and Electronic Circuits Powering

An Efficient Electrothermal Model of a Thermoelectric Converter for a Thermal Energy Harvesting Process Simulation and Electronic Circuits Powering

Software Controlled Low Cost Thermoelectric Energy Harvester for Ultra-Low Power Wireless Sensor Nodes

Extraction of Temperature-Dependent Thermoelectric Material Parameters of a Thermoelectric Cooler by the Non-Linear Least Squares Method

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