Maximum power Point Tracking control of a thermoelectric generation system using the extremum seeking control method

12Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

This study proposes and implements maximum power Point Tracking (MPPT) control on thermoelectric generation system using an extremum seeking control (ESC) algorithm. The MPPT is applied to guarantee maximum power extraction from the TEG system. The work has been carried out through modelling of thermoelectric generator/dc-dc converter system using Matlab/Simulink. The effectiveness of ESC technique has been assessed by comparing the results with those of the Perturb and Observe (P&O) MPPT method under the same operating conditions. Results indicate that ESC MPPT method extracts more power than the P&O technique, where the output power of ESC technique is higher than that of P&O by 0.47 W or 6.1% at a hot side temperature of 200°C. It is also noted that the ESC MPPT based model is almost fourfold faster than the P&O method. This is attributed to smaller MPPT circuit of ESC compared to that of P&O, hence we conclude that the ESC MPPT method outperforms the P&O technique.

References Powered by Scopus

Cooling, heating, generating power, and recovering waste heat with thermoelectric systems

5254Citations
N/AReaders
Get full text

Thermoelectric generators: A review of applications

1112Citations
N/AReaders
Get full text

A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition

524Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Thermoelectric Power Generators: State-of-the-Art, Heat Recovery Method, and Challenges

43Citations
N/AReaders
Get full text

Effects of design parameters on fuel economy and output power in an automotive thermoelectric generator

26Citations
N/AReaders
Get full text

Future perspective and current situation of maximum power point tracking methods in thermoelectric generators

25Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Twaha, S., Zhu, J., Maraaba, L., Huang, K., Li, B., & Yan, Y. (2017). Maximum power Point Tracking control of a thermoelectric generation system using the extremum seeking control method. Energies, 10(12). https://doi.org/10.3390/en10122016

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 10

63%

Researcher 3

19%

Professor / Associate Prof. 2

13%

Lecturer / Post doc 1

6%

Readers' Discipline

Tooltip

Engineering 10

56%

Energy 6

33%

Chemical Engineering 1

6%

Computer Science 1

6%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free