Collection

Trends in IT-based Power Plants and Electric Users: Focusing on Multimedia Technology

Recently, new renewable energy power plants such as Solar Power Plants, Small-Scale Solar Power Plants for residential use (Such as solar power plants linked with parking lot monitoring system; Safety Monitoring System for Energy Power Plants), wind power plants, and Small Modular Reactor (SMR) have been established. In addition, new IT services are emerging with the appearance of various devices. These services range from those that focus on the needs of producers (power plants) to those that cater to the needs of users. In this topical collection, we aim to solicit papers on these diverse services.

From a user perspective, services such as virtualizing electric energy in conjunction with big data studies, similar to the energy-gauge User Interface (UI) of electric vehicles, have been commercialized. These services aim not only to monitor real-time power usage but also to predict future applications.

Meanwhile, the papers for this Topical collection will include some original developments, such as monitoring the power usage of old Plants with digital meters through Multimedia Technology. In addition, manuscripts that propose energy system solutions in the context of new multimedia technology relevant to virtualization (AR/VR/Metaverse, etc.) are most welcome. Additionally, papers focusing on the topics of software or hardware aspects are welcome as long as they focus on virtualization technology.

In addition, this Topical collection will present an overview of the Power Plants (Producer) and Electric Users (User).

For this purpose, this Topical collection is open to receiving a variety of meaningful and valuable manuscripts concerning the purpose of solving the Power Plants (Producer) and Electric Users (User) based on Information Technology (IT). Participants may choose to write about one of the subjects listed below, though are not limited to these.

-Renewable energy solutions of Monitoring Systems;

-Renewable energy media techniques and services for systems engineering;

-Renewable energy solutions of artificial intelligence and big data;

-Renewable energy system service respecting human beings and their livelihood;

-Visualization in energy systems;

-UI/UX of energy systems;

-Visualization of modeling in energy systems;

-Engineering mathematical theories of energy harvesting that deeply affect science and industry;

-Visualization of power systems control;

-Optimization of operation of power systems;

-Visualization of energy management systems;

-Visualization of IT and/or IoT for power systems;

-Control visualization method of power electronics;

-Optimal operation of renewable energy;

-A public energy harvesting integration system for future systems;

-Energy storage system (ESS) for future systems;

-Visualization of thermal power plants;

-Visualization of wind power plants;

-Visualization of Small Modular Reactor (SMR);

-Visualization of photovoltaic (PV) plants;

-Visualization of blockchain-based REC for photovoltaic (PV) systems;

-Security visualization/DMU of photovoltaic (PV) plants/thermal power plants/wind power plants/Small Modular Reactor;

-AR/VR/Metaverse of photovoltaic (PV) plants/thermal power plants/wind power plants/Small Modular Reactor;

-Fire Prevention, Fire Monitoring, and Fire Inspection;

-Sustainable Development and Environmental Conservation

Keywords: IT; Power Plants; PV; PhotoVoltaic Plants; Thermal Power Plants; Wind Power Plants; Small Modular Reactor; SMR; Producer; Electric Users.

Editors

  • Jun-Ho Huh

    Prof. Jun-Ho Huh, National Korea Maritime and Ocean University, Korea. Currently, he is an Associated Professor (Tenured) of the Dept. of Data Science, National Korea Maritime and Ocean University, Republic of Korea (ROK). Also, he is an Associated Professor (Tenured) of the Global R&E Program for Interdisciplinary Technologies of Ocean Renewable Energy of Interdisciplinary Major of Ocean Renewable Energy Engineering, National Korea Maritime and Ocean University, ROK. He received Springer Nature Most Cited Paper Award, most cited paper award 2019 (Research published in the journal between 2016-2018; SCIE).

Articles

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