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<p>In this article, a thermo-economic-environmental multiobjective optimization and analysis of a thermoelectric dryer was investigated. This system operates using renewable energy from wind turbines and is designed to improve the food drying process. Key parameters such as hot section temperature, drying time, moisture extraction rate (MER), and specific moisture extraction rate (SMER) were assessed. The optimization findings indicated that expanding the thermoelectric module count from 10 to 60 increased the generated heat from 200 to 1600&#xa0;kW, reducing the drying time from 55 to 10&#xa0;min. Additionally, optimizing the input electric current reduced the drying time from 45 to 18&#xa0;min, while the MER improved from 0.1 to 0.35&#xa0;kg&#xa0;<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\({\text{s}}^{-1}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mtext>s</mtext> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </math></EquationSource> </InlineEquation> and the SMER from 1.5 to 4.5&#xa0;kg&#xa0;k&#xa0;<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\({\text{W}\text{h}}^{-1}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mtext>Wh</mtext> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </math></EquationSource> </InlineEquation>. Furthermore, the exergoeconomic analysis indicated a decrease in running expenses and an improvement in the system’s exergy efficiency. The multiobjective optimization successfully balanced energy efficiency, cost, and environmental impact. This study demonstrates the high potential of the thermoelectric drying system in enhancing efficiency and reducing environmental impacts, providing a sustainable solution for the food drying industry.</p>

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Thermo-economic-environmental analysis and multiobjective optimization of a thermoelectric dryer

  • 期刊论文

  • 发表日期：

    2026年5月26日

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  • Mahdi Deymi-Dashtebayaz,
  • Amir Reza Babadi,
  • Danial Hosseinzadeh,
  • Zhiyong Tian

摘要

In this article, a thermo-economic-environmental multiobjective optimization and analysis of a thermoelectric dryer was investigated. This system operates using renewable energy from wind turbines and is designed to improve the food drying process. Key parameters such as hot section temperature, drying time, moisture extraction rate (MER), and specific moisture extraction rate (SMER) were assessed. The optimization findings indicated that expanding the thermoelectric module count from 10 to 60 increased the generated heat from 200 to 1600 kW, reducing the drying time from 55 to 10 min. Additionally, optimizing the input electric current reduced the drying time from 45 to 18 min, while the MER improved from 0.1 to 0.35 kg  \({\text{s}}^{-1}\) s - 1 and the SMER from 1.5 to 4.5 kg k  \({\text{W}\text{h}}^{-1}\) Wh - 1 . Furthermore, the exergoeconomic analysis indicated a decrease in running expenses and an improvement in the system’s exergy efficiency. The multiobjective optimization successfully balanced energy efficiency, cost, and environmental impact. This study demonstrates the high potential of the thermoelectric drying system in enhancing efficiency and reducing environmental impacts, providing a sustainable solution for the food drying industry.