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  • Open Access

    ARTICLE

    Modélisation sémantique et programmation générative pour une simulation multi-agent dans le contexte de gestion de catastrophe

    Claire Prudhomme1 , Ana Roxin2 , Christophe Cruz2 , Frank Boochs1

    Revue Internationale de Géomatique, Vol.30, No.1, pp. 37-65, 2020, DOI:10.3166/rig.2020.00102

    Abstract Disaster management requires collaborative preparedness among the various stakeholders. Collaborative exercises aim to train stakeholders to apply the plans prepared and to identify potential problems and areas for improvement. As these exercises are costly, computer simulation is an interesting tool to optimize preparation through a wider variety of contexts. However, research on simulation and disaster management focuses on a particular problem rather than on the overall optimization of the plans prepared. This limitation is explained by the challenge of creating a simulation model that can represent and adapt to a wide variety of plans from various disciplines. The work presented… More >

  • Open Access

    ARTICLE

    Research on Optimal Configuration of Energy Storage in Wind-Solar Microgrid Considering Real-Time Electricity Price

    Zhenzhen Zhang1,*, Qingquan Lv1, Long Zhao1, Qiang Zhou1, Pengfei Gao1, Yanqi Zhang1, Yimin Li2

    Energy Engineering, Vol.120, No.7, pp. 1637-1654, 2023, DOI:10.32604/ee.2023.026942

    Abstract Capacity allocation and energy management strategies for energy storage are critical to the safety and economical operation of microgrids. In this paper, an improved energy management strategy based on real-time electricity price combined with state of charge is proposed to optimize the economic operation of wind and solar microgrids, and the optimal allocation of energy storage capacity is carried out by using this strategy. Firstly, the structure and model of microgrid are analyzed, and the output model of wind power, photovoltaic and energy storage is established. Then, considering the interactive power cost between the microgrid and the main grid and… More >

  • Open Access

    ARTICLE

    Artificial Neural Network-Based Development of an Efficient Energy Management Strategy for Office Building

    Payal Soni, J. Subhashini*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1225-1242, 2023, DOI:10.32604/iasc.2023.038155

    Abstract In the current context, a smart grid has replaced the conventional grid through intelligent energy management, integration of renewable energy sources (RES) and two-way communication infrastructures from power generation to distribution. Energy management from the distribution side is a critical problem for balancing load demand. A unique energy management strategy (EMS) is being developed for office building equipment. That includes renewable energy integration, automation, and control based on the Artificial Neural Network (ANN) system using Matlab Simulink. This strategy reduces electric power consumption and balances the load demand of the traditional grid. This strategy is developed by taking inputs from… More >

  • Open Access

    ARTICLE

    Forecasting the Municipal Solid Waste Using GSO-XGBoost Model

    Vaishnavi Jayaraman1, Arun Raj Lakshminarayanan1,*, Saravanan Parthasarathy1, A. Suganthy2

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 301-320, 2023, DOI:10.32604/iasc.2023.037823

    Abstract Waste production rises in tandem with population growth and increased utilization. The indecorous disposal of waste paves the way for huge disaster named as climate change. The National Environment Agency (NEA) of Singapore oversees the sustainable management of waste across the country. The three main contributors to the solid waste of Singapore are paper and cardboard (P&C), plastic, and food scraps. Besides, they have a negligible rate of recycling. In this study, Machine Learning techniques were utilized to forecast the amount of garbage also known as waste audits. The waste audit would aid the authorities to plan their waste infrastructure.… More >

  • Open Access

    ARTICLE

    Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

    Sophea Horng, Pisal Yenradee*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6119-6143, 2023, DOI:10.32604/cmc.2023.038764

    Abstract This paper proposes a Delivery Service Management (DSM) system for Small and Medium Enterprises (SMEs) that own a delivery fleet of pickup trucks to manage Business-to-Business (B2B) delivery services. The proposed DSM system integrates four systems: Delivery Location Positioning (DLP), Delivery Route Planning (DRP), Arrival Time Prediction (ATP), and Communication and Data Sharing (CDS) systems. These systems are used to pinpoint the delivery locations of customers, plan the delivery route of each truck, predict arrival time (with an interval) at each delivery location, and communicate and share information among stakeholders, respectively. The DSM system deploys Google applications, a GPS tracking… More >

  • Open Access

    ARTICLE

    Traffic Management in Internet of Vehicles Using Improved Ant Colony Optimization

    Abida Sharif1, Imran Sharif1, Muhammad Asim Saleem2, Muhammad Attique Khan3, Majed Alhaisoni4, Marriam Nawaz5,6, Abdullah Alqahtani7, Ye Jin Kim8, Byoungchol Chang9,*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5379-5393, 2023, DOI:10.32604/cmc.2023.034413

    Abstract The Internet of Vehicles (IoV) is a networking paradigm related to the intercommunication of vehicles using a network. In a dynamic network, one of the key challenges in IoV is traffic management under increasing vehicles to avoid congestion. Therefore, optimal path selection to route traffic between the origin and destination is vital. This research proposed a realistic strategy to reduce traffic management service response time by enabling real-time content distribution in IoV systems using heterogeneous network access. Firstly, this work proposed a novel use of the Ant Colony Optimization (ACO) algorithm and formulated the path planning optimization problem as an… More >

  • Open Access

    ARTICLE

    THIN THERMAL MANAGEMENT MODULES USING FLATTENED HEAT PIPES AND PIEZOELECTRIC FANS FOR ELECTRONIC DEVICES

    Jason Velardoa, Randeep Singha,*, Mohammad Shahed Ahameda, Masataka Mochizukib, Abhijit Datec, Aliakbar Akbarzadehc

    Frontiers in Heat and Mass Transfer, Vol.17, pp. 1-11, 2021, DOI:10.5098/hmt.17.1

    Abstract Thermal solutions play an integral role in managing heat loads for electronic devices. As these electronics become more compact and portable, improved thermal management solutions need to be introduced. Thin flattened heat pipes (0.8mm – 2.0mm thick) and piezoelectric fans (1mm thick) have been proposed here for this purpose. The maximum heat carrying capacity of the flattened heat pipe was experimentally determined and found to be a function of the flattened heat pipe thickness. Reductions from 48W at 2.0mm to 7W at 0.8mm were observed. This was expected to be due to capillary limitations. The piezoelectric fan could be operated… More >

  • Open Access

    ARTICLE

    EXPERIMENTAL AND THEORETICAL STUDY OF SMART ENERGY MANAGEMENT SOLAR WATER HEATING SYSTEM FOR OUTDOOR SWIMMING POOL APPLICATION IN EGYPT

    Marwa M. Ibrahima,*, Amal El Berrya, Karim Ashourb

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-11, 2022, DOI:10.5098/hmt.18.9

    Abstract Conventional sources of energy are rapidly decreasing more and more. Hence, Renewable energy is presently attracting significant. Therefore, this paper aims at investigating the techno-economic feasibility of SWHS for swimming pools in tourist hotels and resorts. The proposed system presents an active direct system without auxiliary heaters to evaluate the potential for using solar thermal collectors for heating swimming pools of tourist resort; installed in El Gouna city, Egypt, and to size solar collector using TSOL simulation software package to meet the demand of hot water, to analyze the impact of collector design-parameters concerning system cost, system yield and economic… More >

  • Open Access

    ARTICLE

    RESEARCH ON A NOVEL CONCEPT OF SELF-FORMING AIR COOLING BATTERY RACK

    Mingjie Zhanga , Kai Yanga, Le Qinb, Xiaole Yaob, Qian Liub, Xing Jub,*

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-10, 2022, DOI:10.5098/hmt.19.13

    Abstract Lithium-ion batteries used for energy storage systems will release amount of heat during operation. It will cause serious consequences of thermal runaway if not dissipate in time. In this study, a self-forming air-cooled battery rack of the energy storage system is established based on the normal battery rack for energy storage and the shape of the energy storage battery itself. The frames of the battery rack acts as air ducts, which greatly reduce the system complexity. In this paper, the heat generation model is established based on the experiment, and the four battery rack forms are studied by CFD simulation.… More >

  • Open Access

    ARTICLE

    VISUALIZATION OF INDUCED COUNTER-ROTATING VORTICES FOR ELECTRIC VEHICLES BATTERY MODULE THERMAL MANAGEMENT

    A.C. Budimana,*, S. M. Hasheminejadb, Sudirjaa, A. Mitayanic, S. H. Winotod

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-6, 2022, DOI:10.5098/hmt.19.9

    Abstract Streamwise development of counter-rotating vortices induced by three different types of chevron Vortex Generators (VGs) placed upstream an Electric Vehicles (EV) dummy battery module is experimentally visualized using a smoke-wire method. From the single chevron reference case, the mushroom-like vortices do not collapse until passing the module. When more chevrons are used in line, the vortices become more prominent. It can also be observed that the vortex sizes and shapes are significantly influenced by the spanwise base length of the chevron. The induced vortices from all three VGs suggest a potential heat transfer augmentation for the EV battery module application. More >

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