K Yahya, MZ Bilgin, T Erfidan - Journal of Power Electronics, 2018 - koreascience.kr
The applications of thermoelectric generators (TEGs) have received a lot of attention both in terms of harvesting waste thermal energy and the need for multi-levels of power. It is critical …
In this paper, a thermoelectric generator (TEG) model is developed as a tool for investigating optimized maximum power point tracking (MPPT) algorithms for TEG systems within …
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 …
The amount of energy that a thermoelectric generator (TEG) is capable of harvesting mainly depends on the temperature difference between the hot and cold sides of the TEG. To …
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 …
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 …
Abstract Characterization of thermoelectric generators (TEG) is widely discussed and equipment has been built that can perform such analysis. One method is often used to …
In this paper, a novel hybrid maximum power point tracking (MPPT) method is proposed and investigated. The proposed MPPT technique combines the simplicity of perturb and observe …
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 …