Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution

X Zhang, T Tan, B Yang, J Wang, S Li, T He, L Yang… - Applied Energy, 2020 - Elsevier
The generation efficiency of thermoelectric generation system is relatively low, thus how
maximize its power production is of great importance. This paper designs a novel greedy …

MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition

B Yang, J Wang, X Zhang, M Zhang, H Shu, S Li… - Energy Conversion and …, 2019 - Elsevier
This paper proposes a novel adaptive compass search (ACS) for maximum power point
tracking (MPPT) of centralized thermoelectric generation (TEG) system under non-uniform …

Fast atom search optimization based MPPT design of centralized thermoelectric generation system under heterogeneous temperature difference

B Yang, M Zhang, X Zhang, J Wang, H Shu, S Li… - Journal of Cleaner …, 2020 - Elsevier
This paper designs a novel maximum power point tracking (MPPT) technique for centralized
thermoelectric generation (TEG) system under heterogeneous temperature difference …

An improved metaheuristic-based MPPT for centralized thermoelectric generation systems under dynamic temperature conditions

Y Chen, C Xie, Y Li, WC Zhu, L Xu, HB Gooi - Energy, 2023 - Elsevier
This paper proposes a multi-peak maximum power point tracking (MPPT) method based on
the Global Flying Squirrel Search-Particle Swarm Optimization (GFSS-PSO) for centralized …

Dynamic Surrogate Model based optimization for MPPT of centralized thermoelectric generation systems under heterogeneous temperature difference

X Zhang, B Yang, T Yu, L Jiang - IEEE Transactions on Energy …, 2020 - ieeexplore.ieee.org
A novel dynamic surrogate model based optimization (DSMO) for centralized thermoelectric
generation (TEG) system affected by heterogeneous temperature difference (HeTD) is …

Interacted collective intelligence based energy harvesting of centralized thermoelectric generation systems under non-uniform temperature gradient

B Yang, M Zhang, J Wang, K Zeng, Z Zhang… - Sustainable Energy …, 2021 - Elsevier
A novel interacted collective intelligence (ICI) algorithm was developed in this work for
maximum power point tracking (MPPT) of centralized thermoelectric generation (TEG) …

[HTML][HTML] Arithmetic optimization algorithm based MPPT technique for centralized TEG systems under different temperature gradients

R Zhang, B Yang, N Chen - Energy Reports, 2022 - Elsevier
Since centralized thermoelectric power generation (TEG) system presents multiple local
maximum power points (LMPPs) at different temperature gradients (DTG), thus its optimal …

Mutation particle swarm optimization (M-PSO) of a thermoelectric generator in a multi-variable space

X Wang, DSK Ting, P Henshaw - Energy Conversion and Management, 2020 - Elsevier
With the recent development of thermoelectric materials, thermoelectric generators (TEGs)
have become a technology with a huge potential in the energy recovery field. A TEG module …

An enhanced maximum power point tracking method for thermoelectric generator using adaptive neuro-fuzzy inference system

N Kanagaraj - Journal of Electrical Engineering & Technology, 2021 - Springer
The design and performance study of a variable fractional factor combined adaptive neuro-
fuzzy inference system (VFANFIS) based maximum power point tracking (MPPT) technique …

Energy management for thermoelectric generators based on maximum power point and load power tracking

S Wu, S Wang, C Yang, K Xie - Energy conversion and management, 2018 - Elsevier
Thermoelectric generators (TEGs) can be widely applied to directly convert thermal energy
into electricity. Herein, we propose an energy management system for TEGs to achieve …