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  • Open Access

    ARTICLE

    Hydroelectric and Hydrogen Storage Systems for Electric Energy Produced from Renewable Energy Sources

    Saif Serag1,*, Adil Echchelh2, Biagio Morrone1

    Energy Engineering, Vol.121, No.10, pp. 2719-2741, 2024, DOI:10.32604/ee.2024.054424 - 11 September 2024

    Abstract Renewable energy sources are essential for mitigating the greenhouse effect and supplying energy to resource-scarce regions. However, their intermittent nature necessitates efficient storage solutions to enhance system efficiency and manage energy costs. This paper investigates renewable and clean storage systems, specifically examining the storage of electricity generated from renewable sources using hydropower plants and hydrogen, both of which are highly efficient and promising for future energy production and storage. The study utilizes extensive literature data to analyze the impact of various parameters on the cost per kWh of electricity production in hybrid renewable systems incorporating… More > Graphic Abstract

    Hydroelectric and Hydrogen Storage Systems for Electric Energy Produced from Renewable Energy Sources

  • Open Access

    ARTICLE

    MLD-MPC Approach for Three-Tank Hybrid Benchmark Problem

    Hanen Yaakoubi1, Hegazy Rezk2, Mujahed Al-Dhaifallah3,4,*, Joseph Haggège1

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3657-3675, 2023, DOI:10.32604/cmc.2023.034929 - 31 March 2023

    Abstract The present paper aims at validating a Model Predictive Control (MPC), based on the Mixed Logical Dynamical (MLD) model, for Hybrid Dynamic Systems (HDSs) that explicitly involve continuous dynamics and discrete events. The proposed benchmark system is a three-tank process, which is a typical case study of HDSs. The MLD-MPC controller is applied to the level control of the considered tank system. The study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating constraints. This feature of MLD modeling is very advantageous… More >

  • Open Access

    ARTICLE

    Intelligent Medical Diagnostic System for Hepatitis B

    Dalwinder Singh1, Deepak Prashar1, Jimmy Singla1, Arfat Ahmad Khan2, Mohammed Al-Sarem3,4,*, Neesrin Ali Kurdi3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6047-6068, 2022, DOI:10.32604/cmc.2022.031255 - 28 July 2022

    Abstract The hepatitis B virus is the most deadly virus, which significantly affects the human liver. The termination of the hepatitis B virus is mandatory and can be done by taking precautions as well as a suitable cure in its introductory stage; otherwise, it will become a severe problem and make a human liver suffer from the most dangerous diseases, such as liver cancer. In this paper, two medical diagnostic systems are developed for the diagnosis of this life-threatening virus. The methodologies used to develop these models are fuzzy logic and the neuro-fuzzy technique. The diverse… More >

  • Open Access

    ARTICLE

    Effective Channel Allocation for Hybrid Network Usage Between Wi-Fi and Cellular Network

    M. Vanitha1,*, C. T. Kalaivani1, J. Kirubakaran2, R. Praveena2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1617-1627, 2022, DOI:10.32604/iasc.2022.026154 - 25 May 2022

    Abstract Hybrid networks are a rising innovation for maximizing wireless network coverage without any extra need for resources. This research paper focuses on effective channel allocation for Wireless Fidelity (Wi-Fi) and cellular networks. As a novel work in this area, the Beyond Access Point Coverage (BAPC) has been presented for adequately installing cellular networks on the unlicensed Wi-Fi spectrum. Networks can straightforwardly exploit Wi-Fi distributed coordination. Our BAPC commits and permits a combat-free period to cellular network subscribers and customary Wi-Fi subscribers to encourage concurrence. This research focuses on the maximization of combined subscriber affiliation and More >

  • Open Access

    ARTICLE

    Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

    Rong Huang1, Xiaojuan Lu2,*, Zeping Liang2, Pengfei Gao1, Tian Liang1

    Energy Engineering, Vol.119, No.4, pp. 1711-1728, 2022, DOI:10.32604/ee.2022.019128 - 23 May 2022

    Abstract At present, solar thermal power generation is in the demonstration stage, and the large-scale production is affected by many factors. In view of the characteristics of different operating modes of photothermal power generation, it is analyzed that the turbine needs to be started and stopped frequently due to different operating modes, which will lead to the instability of the output energy and the reduction of power generation efficiency. In this paper, the dynamic equation of energy conversion process is established by using the law of conservation of energy and conservation of mass. Combined with the More > Graphic Abstract

    Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

  • Open Access

    ARTICLE

    A Hybrid System for Customer Churn Prediction and Retention Analysis via Supervised Learning

    Soban Arshad1, Khalid Iqbal1,*, Sheneela Naz2, Sadaf Yasmin1, Zobia Rehman2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4283-4301, 2022, DOI:10.32604/cmc.2022.025442 - 21 April 2022

    Abstract Telecom industry relies on churn prediction models to retain their customers. These prediction models help in precise and right time recognition of future switching by a group of customers to other service providers. Retention not only contributes to the profit of an organization, but it is also important for upholding a position in the competitive market. In the past, numerous churn prediction models have been proposed, but the current models have a number of flaws that prevent them from being used in real-world large-scale telecom datasets. These schemes, fail to incorporate frequently changing requirements. Data… More >

  • Open Access

    ARTICLE

    PNN-SVM Approach of Ti-Based Powder’s Properties Evaluation for Biomedical Implants Production

    Ivan Izonin1,*, Roman Tkachenko1, Michal Gregus2, Zoia Duriagina1,3, Nataliya Shakhovska1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5933-5947, 2022, DOI:10.32604/cmc.2022.022582 - 14 January 2022

    Abstract The advent of additive technologies has provided a significant breakthrough in the production of medical implants. It has reduced costs, increased productivity and accuracy of the implant manufacturing process. However, there are problems associated with assessing defects in the microstructure, mechanical and technological properties of alloys, both during their production by powder metallurgy and in the process of 3D printing. Thus traditional research methods of alloys properties demand considerable human, material, and time resources. At the same time, artificial intelligence tools create opportunities for intelligent evaluation of the conformity for the microstructure, phase composition, and… More >

  • Open Access

    ARTICLE

    Parameter Estimation Based on Censored Data under Partially Accelerated Life Testing for Hybrid Systems due to Unknown Failure Causes

    Mustafa Kamal*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1239-1269, 2022, DOI:10.32604/cmes.2022.017532 - 30 December 2021

    Abstract In general, simple subsystems like series or parallel are integrated to produce a complex hybrid system. The reliability of a system is determined by the reliability of its constituent components. It is often extremely difficult or impossible to get specific information about the component that caused the system to fail. Unknown failure causes are instances in which the actual cause of system failure is unknown. On the other side, thanks to current advanced technology based on computers, automation, and simulation, products have become incredibly dependable and trustworthy, and as a result, obtaining failure data for… More >

  • Open Access

    ARTICLE

    Modelling and Optimal Design of Hybrid Power System Photovoltaic/Solid Oxide Fuel Cell for a Mediterranean City

    Bachir Melzi1, Nesrine Kefif2, Mamdouh El Haj Assad3,*, Haleh Delnava4, Abdulkadir Hamid5

    Energy Engineering, Vol.118, No.6, pp. 1767-1781, 2021, DOI:10.32604/EE.2021.017270 - 10 September 2021

    Abstract This work presents a hybrid power system consisting of photovoltaic and solid oxide fuel cell (PV-SOFC) for electricity production and hydrogen production. The simulation of this hybrid system is adjusted for Bou-Zedjar city in north Algeria. Homer software was used for this simulation to calculate the power output and the total net present cost. The method used depends on the annual average monthly values of clearness index and radiation for which the energy contributions are determined for each component of PV/SOFC hybrid system. The economic study is more important criterion in the proposed hybrid system, More >

  • Open Access

    ARTICLE

    Performance Analysis of Multi-Energy Hybrid System Based on Molten Salt Energy Storage

    Xin Xu*, Lian Zhang*

    Energy Engineering, Vol.118, No.6, pp. 1905-1920, 2021, DOI:10.32604/EE.2021.016738 - 10 September 2021

    Abstract This paper briefly summarizes the current status of typical solar thermal power plant system, including system composition, thermal energy storage medium and performance. The thermo-physical properties of the storage medium are some of the most important factors that affect overall efficiency of the system, because some renewable energy sources such as solar and wind are unpredictable. A thermal storage system is therefore necessary to store energy for continuous usage. Based on the form of storage or the mode of system connection, heat exchangers of a thermal storage system can produce different temperature ranges of heat… More >

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