Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm

The need for renewable energy resources is ever-increasing due to the concern for environmental issues associated with fossil fuels. Low-cost high-power-density manufacturing techniques for the thermoelectric generators (TEG) have added to the technoeconomic feasibility of the TEG systems as an effe...

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Autores principales:	Mirza Imran Tariq, Majad Mansoor, Adeel Feroz Mirza, Nouman Mujeeb Khan, Muhammad Hamza Zafar, Abbas Z. Kouzani, M. A. Parvez Mahmud
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	power optimization thermoelectric generator (TEG) nonuniform temperature distribution (NTD) maximum power point tracking (MPPT) barnacles mating optimization algorithm (BMO) Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/b3ad5daa31af4013bece00b27f238ed4
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spelling	oai:doaj.org-article:b3ad5daa31af4013bece00b27f238ed42021-11-25T17:25:11ZOptimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm10.3390/electronics102228392079-9292https://doaj.org/article/b3ad5daa31af4013bece00b27f238ed42021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2839https://doaj.org/toc/2079-9292The need for renewable energy resources is ever-increasing due to the concern for environmental issues associated with fossil fuels. Low-cost high-power-density manufacturing techniques for the thermoelectric generators (TEG) have added to the technoeconomic feasibility of the TEG systems as an effective power generation system in heat recovery, cooling, electricity, and engine-efficiency applications. The environment-dependent factors such as the nonuniform distribution of heat, damage to the heat-transfer coating between sinks and sources, and mechanical faults create nonuniform current generation and impedance mismatch causing power loss. As a solution to this nonlinear multisolution problem, an improved MPPT control is presented, which utilizes the improvised barnacle mating optimization (BMO). The case studies are formulated to gauge the performance of the proposed BMP MPPT control under nonuniform temperature distribution. The results are compared to the grey wolf optimization (GWO), particle swarm optimization (PSO), and cuckoo search (CS) algorithm. Faster global maximum power point tracking (GMPP) within 381 ms, higher power tracking efficiency of up to 99.93%, and least oscillation ≈0.8 W are achieved by the proposed BMO with the highest energy harvest on average. The statistical analysis further solidifies the better performance of the proposed controller with the least root mean square error (RMSE), RE, and highest SR.Mirza Imran TariqMajad MansoorAdeel Feroz MirzaNouman Mujeeb KhanMuhammad Hamza ZafarAbbas Z. KouzaniM. A. Parvez MahmudMDPI AGarticlepower optimizationthermoelectric generator (TEG)nonuniform temperature distribution (NTD)maximum power point tracking (MPPT)barnacles mating optimization algorithm (BMO)ElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2839, p 2839 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	power optimization thermoelectric generator (TEG) nonuniform temperature distribution (NTD) maximum power point tracking (MPPT) barnacles mating optimization algorithm (BMO) Electronics TK7800-8360
spellingShingle	power optimization thermoelectric generator (TEG) nonuniform temperature distribution (NTD) maximum power point tracking (MPPT) barnacles mating optimization algorithm (BMO) Electronics TK7800-8360 Mirza Imran Tariq Majad Mansoor Adeel Feroz Mirza Nouman Mujeeb Khan Muhammad Hamza Zafar Abbas Z. Kouzani M. A. Parvez Mahmud Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
description	The need for renewable energy resources is ever-increasing due to the concern for environmental issues associated with fossil fuels. Low-cost high-power-density manufacturing techniques for the thermoelectric generators (TEG) have added to the technoeconomic feasibility of the TEG systems as an effective power generation system in heat recovery, cooling, electricity, and engine-efficiency applications. The environment-dependent factors such as the nonuniform distribution of heat, damage to the heat-transfer coating between sinks and sources, and mechanical faults create nonuniform current generation and impedance mismatch causing power loss. As a solution to this nonlinear multisolution problem, an improved MPPT control is presented, which utilizes the improvised barnacle mating optimization (BMO). The case studies are formulated to gauge the performance of the proposed BMP MPPT control under nonuniform temperature distribution. The results are compared to the grey wolf optimization (GWO), particle swarm optimization (PSO), and cuckoo search (CS) algorithm. Faster global maximum power point tracking (GMPP) within 381 ms, higher power tracking efficiency of up to 99.93%, and least oscillation ≈0.8 W are achieved by the proposed BMO with the highest energy harvest on average. The statistical analysis further solidifies the better performance of the proposed controller with the least root mean square error (RMSE), RE, and highest SR.
format	article
author	Mirza Imran Tariq Majad Mansoor Adeel Feroz Mirza Nouman Mujeeb Khan Muhammad Hamza Zafar Abbas Z. Kouzani M. A. Parvez Mahmud
author_facet	Mirza Imran Tariq Majad Mansoor Adeel Feroz Mirza Nouman Mujeeb Khan Muhammad Hamza Zafar Abbas Z. Kouzani M. A. Parvez Mahmud
author_sort	Mirza Imran Tariq
title	Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
title_short	Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
title_full	Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
title_fullStr	Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
title_full_unstemmed	Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm
title_sort	optimal control of centralized thermoelectric generation system under nonuniform temperature distribution using barnacles mating optimization algorithm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b3ad5daa31af4013bece00b27f238ed4
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Optimal Control of Centralized Thermoelectric Generation System under Nonuniform Temperature Distribution Using Barnacles Mating Optimization Algorithm

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