1. Experimental investigation and optimization of a low-temperature thermoelectric module with different operating conditions
- Author
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P. V. Walke, Dipak Sudam Patil, and R. R. Arakerimath
- Subjects
Materials science ,Maximum power principle ,Mechanical Engineering ,Energy conversion efficiency ,Mechanics ,Heat sink ,Geotechnical Engineering and Engineering Geology ,Volumetric flow rate ,Waste heat recovery unit ,Thermoelectric generator ,Mechanics of Materials ,Thermoelectric effect ,Mass flow rate ,Electrical and Electronic Engineering ,Civil and Structural Engineering - Abstract
Purpose This paper aims to present an experimental investigation and optimization of a low-temperature thermoelectric module to examine the influence of the main operating conditions. Design/methodology/approach In this work, a comparison was made by varying the various operating parameters such as heat source temperature, the flow rate of the cold fluid and the external load resistance. A Taguchi method was applied to optimize the parameters of the system. Three factors, including the external load resistance, mass flow rate of water (at the heat sink side) and heater temperature (at the heat source side) along with different levels were taken into account. Analysis of variance was used to determine the significance and percentage contribution of each parameter. Findings The experimental results show that the maximum power output 8.22W and the maximum conversion efficiency 1.11 per cent were obtained at the heater temperature of 240°C, the cold fluid mass flow rate of 0.017 kg/s, module temperature difference of 45°C and the load resistance of 5 O. It was observed that the optimum parameter levels for maximum power output determined as 5 O external load resistance, 0.17 kg/s mass flow rate of water and 240°C heater temperature (A1B3C3). It reflects that these parameters influence on the optimum conditions. The heater temperature is the most significant parameter on the power output of the thermoelectric module. Originality/value It is clear from the confirmation test that experimental values and the predicted values are in good agreement.
- Published
- 2019