INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System
Elzalik, M., Mostafa, R., Rezk, H., G.Shehata, E., Thomas, J. (2019). INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System. EKB Journal Management System, 162(0), 102-118. doi: 10.21608/erj.2019.139807
M. Elzalik; R. Mostafa; Hegazy Rezk; E. G.Shehata; Jean Thomas. "INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System". EKB Journal Management System, 162, 0, 2019, 102-118. doi: 10.21608/erj.2019.139807
Elzalik, M., Mostafa, R., Rezk, H., G.Shehata, E., Thomas, J. (2019). 'INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System', EKB Journal Management System, 162(0), pp. 102-118. doi: 10.21608/erj.2019.139807
Elzalik, M., Mostafa, R., Rezk, H., G.Shehata, E., Thomas, J. INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System. EKB Journal Management System, 2019; 162(0): 102-118. doi: 10.21608/erj.2019.139807

INC-MPPT Algorithm for Maximizing Energy Conversion Efficiency of Thermoelectric Generating System

Engineering Research Journal
Article 7, Volume 162, Issue 0, June 2019, Page 102-118  XML PDF (1.06 MB)
Document Type: Original Article
DOI: 10.21608/erj.2019.139807
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Authors
M. Elzalik* 1; R. Mostafa1; Hegazy Rezk2; E. G.Shehata3; Jean Thomas4
1Process Control Technology Dept., Faculty of Industrial Education, Beni-Suef University, Egypt
2Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, KSA
3Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt
4Electrical Engineering Department, Faculty of Engineering, Beni-Suef University, Egypt
Abstract
Thermoelectric Generator (TEG) is one of the renewable energy sources that can generate electrical power from waste heat energy from geothermal, solar or industrial plants. To maximizing the output power of a TEG system, the internal resistance of the TEG module must be matched with the load resistance. In this paper, TEG system has been simulated and implemented with a DC-to-DC boost converter including the maximum power point tracker (MPPT) control algorithms to maximize the energy conversion efficiency. Incremental Conductance (INC-MPPT) has been simulated with the MATLAB-Simulink and implemented with Arduino microcontroller and tested at different operating conditions. Simulation and experimental results showed that the experimental TEG system and simulation model have maximized the electrical output power of the TEG module with good accuracy and faster response to track the MPP at rapid changes of temperature on both sides of the module. The experimental results show that the harvested power duplicated by more than six times using the INC-MPPT algorithm applied in comparing with the connection without MPPT at the same operating condition.
Keywords
Thermoelectric Generators; DC-DC boost converter; waste heat recovery; Incremental Conductance; MPPT; Energy Efficiency
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