Performance Evaluation of Low‐Grade Waste Heat Recovery for Power Generation via Thermoelectric Generators System of Different Configurations

Low‐grade waste heat recovery (WHR) from steam turbines presents an opportunity to enhance energy efficiency and minimize losses in power plant. This study evaluates the perfromance of thermoelectric generator (TEG) configurations under varying steam parameters (mass flow rate, quality, temperature), to identify optimal configurations. A MATLAB‐ based numerical model integrating thermodynamics, heat transfer, and thermoelectric priniciples is devolped to simulate four TEG arrangements: 100 × 100, 50 × 200, 25 × 400, and 12 × 833 (longitudinal). Simulations span a wide range of steam conditions: flow rates (5–20 kg s −1 ), qualities (0.05–0.97), and temperatures (100–160 °C). Results shows that the longitudinal 12 × 833 configuration delivers the highest power output 15.62 kW at 20 kg s −1 , x = 0.97, and 36.88 kW at 160 °C emphasizing temperature's critical role. System efficiency increases by 36% when temperature rises from 100 to 160 °C, while improving quality enhances by 8–12%. The heat utilization factor is highest at low steam qualities ( x = 0.05), reaching 59.4% at 100 °C (5 kg s −1 ), but drops significantly at higher flow rates. Findings highlight the potential of longitudinal TEG arrangements to maximize WHR through enhanced latent heat extraction and thermal gradient management.

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Publication Details

Journal
Energy Technology
Published
2025-05-06
DOI
https://doi.org/10.1002/ente.202402453
Citations
1
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
0.52

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article

Performance Evaluation of Low‐Grade Waste Heat Recovery for Power Generation via Thermoelectric Generators System of Different Configurations

Hamdy Abo Ali Hassan, S.A. Nada, M. A. Mahmoud, Shinsuke Mori
1 citations
Energy Technology
Advanced Thermoelectric Materials and Devices
0.52
article

Performance Evaluation of Low‐Grade Waste Heat Recovery for Power Generation via Thermoelectric Generators System of Different Configurations

Hamdy Abo Ali Hassan, S.A. Nada, M. A. Mahmoud, Shinsuke Mori
article en
1 citations

Abstract

Low‐grade waste heat recovery (WHR) from steam turbines presents an opportunity to enhance energy efficiency and minimize losses in power plant. This study evaluates the perfromance of thermoelectric generator (TEG) configurations under varying steam parameters (mass flow rate, quality, temperature), to identify optimal configurations. A MATLAB‐ based numerical model integrating thermodynamics, heat transfer, and thermoelectric priniciples is devolped to simulate four TEG arrangements: 100 × 100, 50 × 200, 25 × 400, and 12 × 833 (longitudinal). Simulations span a wide range of steam conditions: flow rates (5–20 kg s −1 ), qualities (0.05–0.97), and temperatures (100–160 °C). Results shows that the longitudinal 12 × 833 configuration delivers the highest power output 15.62 kW at 20 kg s −1 , x = 0.97, and 36.88 kW at 160 °C emphasizing temperature's critical role. System efficiency increases by 36% when temperature rises from 100 to 160 °C, while improving quality enhances by 8–12%. The heat utilization factor is highest at low steam qualities ( x = 0.05), reaching 59.4% at 100 °C (5 kg s −1 ), but drops significantly at higher flow rates. Findings highlight the potential of longitudinal TEG arrangements to maximize WHR through enhanced latent heat extraction and thermal gradient management.

Energy TechnologyVol. 13(10)
Tokyo Institute of Technology (JP), Benha University (EG), Egypt-Japan University of Science and Technology (EG), Assiut University (EG)
Science and Technology Development Fund, Japan International Cooperation Agency
Openalex Percentile: Top 39%
Advanced Thermoelectric Materials and Devices
0.52
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Performance Evaluation of Low‐Grade Waste Heat Recovery for Power Generation via Thermoelectric Generators System of Different Configurations — Hamdy Abo Ali Hassan, S.A. Nada, et al. · Energy Technology (2025) | TGRS Research Map | TGRS