Next Article in Journal
An Assessment of Corporate Average Fuel Economy Standards for Passenger Cars in South Korea
Next Article in Special Issue
A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?
Previous Article in Journal
Physical Model for Frequency Domain Spectroscopy of Oil–Paper Insulation in a Wide Temperature Range by a Novel Analysis Approach
Previous Article in Special Issue
Characteristics of Flame Stability and Gaseous Emission of Bio-Crude Oil from Coffee Ground in a Pilot-Scale Spray Burner
Open AccessArticle

A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator

1
Electrical Engineering Department, College of Engineering at Wadi Aldawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11991, Saudi Arabia
2
Electrical Engineering Department, Faculty of Engineering, Minia University, Al Minya 61519, Egypt
3
Mechanical Engineering Department, Benha Faculty of Engineering, Benha University, Benha 13512, Egypt
4
Mechanical Engineering Department, Faculty of Engineering, Al-Hussein Bin Talal University, Ma’an 71111, Jordan
*
Author to whom correspondence should be addressed.
Energies 2020, 13(17), 4531; https://doi.org/10.3390/en13174531
Received: 23 July 2020 / Revised: 27 August 2020 / Accepted: 30 August 2020 / Published: 1 September 2020
(This article belongs to the Special Issue Renewable Energy and Energy Storage Systems)
Thermoelectric generation technology is considered to be one of the viable methods to convert waste heat energy directly into electricity. The utilization of this technology has been impeded due to low energy conversion efficiency. This paper aims to improve the energy conversion efficiency of the thermoelectric generator (TEG) model with a novel maximum power point tracking (MPPT) technique. A variable fractional order fuzzy logic controller (VFOFLC)-based MPPT technique is proposed in the present work in which the operating point of the TEG is moved quickly towards an optimal position to increase the energy harvesting. The fraction order term α, introduced in the MPPT algorithm, will expand or contract the input domain of the fuzzy logic controller (FLC to shorten the tracking time and maintain a steady-state output around the maximum power point (MPP). The performance of the proposed MPPT technique was verified with the TEG model by simulation using MATLAB /SIMULINK software. Then, the overall performance of the VFOFLC-based MPPT technique was analyzed and compared with Perturb and observe (P&O) and incremental resistance (INR)-based MPPT techniques. The obtained results confirm that the proposed MPPT technique can improve the energy conversion efficiency of the TEG by harvesting the maximum power within a shorter time and maintaining a steady-state output when compared to other techniques. View Full-Text
Keywords: waste heat recovery; renewable energy; thermoelectric generator; MPPT; fuzzy logic control; fractional order control; energy efficiency waste heat recovery; renewable energy; thermoelectric generator; MPPT; fuzzy logic control; fractional order control; energy efficiency
Show Figures

Figure 1

MDPI and ACS Style

Kanagaraj, N.; Rezk, H.; Gomaa, M.R. A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator. Energies 2020, 13, 4531.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop