International Scientific Journal

Thermal Science - Online First

Authors of this Paper

External Links

online first only

Numerical analysis of semiconductor thermoelectric generator

A thermoelectric generation model is proposed based on the structure of thermoelectric generator, working conditions, the effect of air heat transfer and contact resistance in thermoelectric components. In addition, the effect of the thermoelectric generator output performance under the condition of different temperature of the cold and heat source, contact resistance between the cold-end and hot-end, the load resistance and the contact resistance is calculated. The results show that the output voltage is linear associate with the temperature difference between hot and cold ends, however, the output power increase along with the increase of temperature of hot-end and decrease of cold-end. The output voltage reaches 5.76 V and the output power reaches 9.81 W when the temperature difference is 200°C. Assume that the contact resistance is ignored, the output voltage and power reach peak values of 3.61 V and 3.85 W. The output performance of thermoelectric generator decreases with the increase of thermal contact resistance at hot and cold ends, and the reduction is getting lower and lower. With the increase of the load resistance, the output power increases at the beginning and then decreases. The optimal output power is 3.69 W when the contact resistance is 0 Ω and the optimal load resistance is 3.3 Ω. The maximum output power corresponding to neglecting the contact resistance will be reduced by 13.5% when the contact resistance is 0.5 Ω.
PAPER REVISED: 2019-08-27
PAPER ACCEPTED: 2019-09-05
  1. He W, Zhang G, Zhang X, et al. Recent Development and Application of Thermoelectric Generator and Cooler. Applied Energy, 2015, 143: 1-25.
  2. Ran Y, Deng Y, Hu T, et al. Energy Efficient Thermoelectric Generator-Powered Localized Air-Conditioning System Applied in a Heavy-Duty Vehicle. Journal of Energy Resources Technology, 2018, 140(7): 072007.
  3. Deng Y D , Hu T , Su C Q , et al. Fuel Economy Improvement by Utilizing Thermoelectric Generator in Heavy-duty Vehicle. Journal of Electronic Materials, 2017, 46(5): 3227-3234.
  4. O'Shaughnessy S M, Deasy M J, Doyle J V, et al. Adaptive Design of a Prototype Electricity-Producing Biomass Cooking Stove. Energy for Sustainable Development, 2015, 28:41-51.
  5. Kim C S, Lee G S, Choi H, et al. Structural Design of a Flexible Thermoelectric Power Generator for Wearable Applications. Applied Energy, 2018, 214: 131-138.
  6. Hyland M, Hunter H, Jie L, et al. Wearable Thermoelectric Generators for Human Body Heat Harvesting. Applied Energy, 2016, 182:518-524.
  7. Liu L, Lu X S, Shi M L, et al. Modeling of Flat-plate Solar Thermoelectric Generators for Space Applications. Solar Energy, 2016, 132: 386-394.
  8. Erturun U, Erermis K, Mossi K. Influence of Leg Sizing and Spacing on Power Generation and Thermal Stresses of Thermoelectric Devices. Applied Energy, 2015, 159: 19-27.
  9. Rezania A, Rosendahl L A, Yin H. Parametric Optimization of Thermoelectric Elements Footprint for Maximum Power Generation. Journal of Power Sources, 2014, 255(255): 151-156.
  10. Shi Y, Zhu Z, Yuan D, et al. A Real-sized Three-dimensional Numerical model of Thermoelectric Generators at a Given Thermal Input and Matched Load Resistance. Energy Conversion & Management, 2015, 101: 713-720.
  11. Navarro-Peris E, Corberan J M, Ancik Z. Evaluation of the Potential Recovery of Compressor Heat Losses to Enhance the Efficiency of Refrigeration Systems by Means of Thermoelectric Generation. Applied Thermal Engineering, 2015, 89: 755-762.
  12. Wang S, Xie T, Xie H. Experimental Study of the Effects of the Thermal Contact Resistance on the Performance of Thermoelectric Generator. Applied Thermal Engineering, 2018, 130: 847-853.
  13. Akyildiz, F.T. and Vajravelu, K. Galerkin-Chebyshev Pseudo Spectral Method and A Split Step New Approach for A Class of Two Dimensional Semi-linear Parabolic Equations of Second Order. Applied Mathematics & Nonlinear Sciences, 2018, 3(1): 255-264.
  14. Zhu, L., Pan, Y. and Wang, J. Affine Transformation Based Ontology Sparse Vector Learning Algorithm. Applied Mathematics & Nonlinear Sciences, 2017, 2(1): 111-122.
  15. Liao M, He Z, Jiang C, et al. A Three-dimensional Model for Thermoelectric Generator and the Influence of Peltier Effect on the Performance and Heat Transfer. Applied Thermal Engineering, 2018, 133: 493-500.