Browsing by Subject "Maximum Power Point Tracking algorithms"

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    Future perspective and current situation of maximum power point tracking methods in thermoelectric generators
    (Elsevier Ltd, 2022) Mamur H.; Üstüner M.A.; Bhuiyan M.R.A.
    One of the green technologies that can be used to increase energy efficiency by recovering a part of waste heat as electrical energy is thermoelectric generators (TEG) by using the Seebeck phenomenon. Conventional and modern maximum power point tracking (MPPT) methods used to deliver maximum power from energy sources. Conventional MPPT algorithms have disabilities such as a delay in reaching the maximum power point (MPP), certain oscillations around the MPP, being stuck at local MPP (LMPP), and not being able to find global MPP (GMPP). In order to overcome the drawbacks of conventional MPPT methods, methods using metaheuristic MPPT algorithms have come to the fore in recent years. However, the issue of determining the appropriate method among the increasing number and complexity of MPPT methods causes confusion. The aim of this study is to review more than sixty-two MPPT methods that have been used in TEGs in the last six years and have the potential to be adapted for TEGs and provide a reference for researchers. Eventually, this review will be a resource that introduces the next generation MPPT methods, presents MPPT methods with the potential to be adapted to TEGs, and will be a good reference for future studies. © 2021 Elsevier Ltd
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    Selection of Load Resistance for Boost Converters with Maximum Power Point Tracking Algorithm in Thermoelectric Generators
    (Taylor and Francis Ltd., 2024) Üstüner M.A.; Mamur H.; Taşkın S.; Nil M.; Bhuiyan M.R.A.; Kherkhar A.; Chiba Y.
    Thermoelectric generators (TEGs) face challenges in efficiently converting waste heat into electrical energy. To enhance their performance, converters are employed, with the crucial feature being the implementation of the maximum power point tracking (MPPT) algorithm. However, the efficiency of the MPPT software in tracking the maximum power point (MPP) is influenced by the load connected to the converter’s output, necessitating the determination of an appropriate load range. The primary objective of this study is to identify an acceptable load range for an isolated DC-DC boost converter used in MPPT within an installed TEG system. The methodology includes building a Simulink/MATLAB model based on TEG manufacturer data, designing a DC-DC boost converter with embedded MPPT algorithms, and conducting simulations and experiments at various load range values. Simulations and experimental studies reveal that the effectiveness of algorithms in tracking the MPP is optimized when the load resistance is between the TEG’s internal resistance and three times this value. Below the internal resistance, the MPP cannot be tracked, while at high load values, the MPP significantly decreases. This underscores the critical role of load resistance selection in optimizing TEG system performance during MPPT applications. © 2024 Taylor & Francis Group, LLC.