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  • Open Access

    ARTICLE

    Enhanced Perturb and Observe Control Algorithm for a Standalone Domestic Renewable Energy System

    N. Kanagaraj1,*, Obaid Aldosari1, M. Ramasamy2, M. Vijayakumar2

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2291-2306, 2023, DOI:10.32604/iasc.2023.039101

    Abstract The generation of electricity, considering environmental and economic factors is one of the most important challenges of recent years. In this article, a thermoelectric generator (TEG) is proposed to use the thermal energy of an electric water heater (EWH) to generate electricity independently. To improve the energy conversion efficiency of the TEG, a fuzzy logic controller (FLC)-based perturb & observe (P&O) type maximum power point tracking (MPPT) control algorithm is used in this study. An EWH is one of the major electricity consuming household appliances which causes a higher electricity price for consumers. Also, a significant amount of thermal energy… More >

  • Open Access

    ARTICLE

    Waste Heat Recovery from a Drier Receiver of an A/C Unit Using Thermoelectric Generators

    Ali Jaber Abdulhamed1,*, Aws Al-Akam1, Ahmed A. Abduljabbar2, Mohammed H. Alkhafaji3

    Energy Engineering, Vol.120, No.8, pp. 1729-1746, 2023, DOI:10.32604/ee.2023.029069

    Abstract Thermoelectric generators (TEGs) are considered promising devices for waste heat recovery from various systems. The Seebeck effect can be utilized to generate power using the residual heat emitted by the filter dryer receiver (FDR) of an air conditioning (A/C) system, which would otherwise go to waste. The study aims to build a set of thermoelectric generators (TEG) to collect the waste heat of the FDR and generate low-power electricity. A novel electrical circuit with two transformers is designed and fabricated to produce a more stable voltage for operation and charging. The thermoelectric generator (TEGs) was installed on the FDR of… More >

  • Open Access

    ARTICLE

    Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System

    N. Kanagaraj*, Mohammed Al-Ansi

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 769-784, 2023, DOI:10.32604/csse.2023.029457

    Abstract In this research, a modified fractional order proportional integral derivate (FOPID) control method is proposed for the photovoltaic (PV) and thermoelectric generator (TEG) combined hybrid renewable energy system. The faster tracking and steady-state output are aimed at the suggested maximum power point tracking (MPPT) control technique. The derivative order number (µ) value in the improved FOPID (also known as PIλDµ) control structure will be dynamically updated utilizing the value of change in PV array voltage output. During the transient, the value of µ is changeable; it’s one at the start and after reaching the maximum power point (MPP), allowing for… More >

  • Open Access

    ARTICLE

    A Novel Method for Thermoelectric Generator Based on Neural Network

    Mohammad Saraireh1,*, A. M. Maqableh2, Manar Jaradat3, Omar A. Saraereh4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 2115-2133, 2022, DOI:10.32604/cmc.2022.029978

    Abstract The growing need for renewable energy and zero carbon dioxide emissions has fueled the development of thermoelectric generators with improved power generating capability. Along with the endeavor to develop thermoelectric materials with greater figures of merit, the geometrical and structural optimization of thermoelectric generators is equally critical for maximum power output and efficiency. Green energy strategies that are constantly updated are a viable option for addressing the global energy issue while also protecting the environment. There have been significant focuses on the development of thermoelectric modules for a range of solar, automotive, military, and aerospace applications in recent years due… More >

  • Open Access

    ARTICLE

    Recent Techniques for Harvesting Energy from the Human Body

    Nidal M. Turab1, Hamza Abu Owida2, Jamal I. Al-Nabulsi2,*, Mwaffaq Abu-Alhaija1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 167-177, 2022, DOI:10.32604/csse.2022.017973

    Abstract The human body contains a near-infinite supply of energy in chemical, thermal, and mechanical forms. However, the majority of implantable and wearable devices are still operated by batteries, whose insufficient capacity and large size limit their lifespan and increase the risk of hazardous material leakage. Such energy can be used to exceed the battery power limits of implantable and wearable devices. Moreover, novel materials and fabrication methods can be used to create various medical therapies and life-enhancing technologies. This review paper focuses on energy-harvesting technologies used in medical and health applications, primarily power collectors from the human body. Current approaches… More >

  • Open Access

    ARTICLE

    Grey Wolf Optimizer-Based Fractional MPPT for Thermoelectric Generator

    A. M. Abdullah1, Hegazy Rezk2,3,*, Abdelrahman Elbloye1, Mohamed K. Hassan1,4, A. F. Mohamed1,5

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 729-740, 2021, DOI:10.32604/iasc.2021.018595

    Abstract The energy harvested from a thermoelectric generator (TEG) relies mostly on the difference in temperature between the hot side and cold side of the TEG along with the connected load. Hence, a reliable maximum power point tracker is needed to force the TEG to operate close to the maximum power point (MPP) with any variation during the operation. In the current work, an optimized fractional maximum power point tracker (OFMPPT) is proposed to improve the performance of the TEG. The proposed tracker is based on fractional control. The optimal parameters of the OFMPPT have been determined using the grey wolf… More >

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