Integrated Supervisory Control and Data Acquisition System for Optimized Energy Management: Leveraging Photovoltaic and Phase Change Material Thermal Storage

Energy Storage, Journal Year: 2024, Volume and Issue: 6(6)

Published: Sept. 1, 2024

ABSTRACT Reliable energy sources are crucial for both economic growth and quality of life. In developing countries, where expensive fuels often the primary source, governments exploring innovative solutions like small‐scale, IoT‐based projects to achieve independence in buildings. This research investigates integration renewable technologies, statistical modeling, cloud computing, IoT develop a self‐managing system The prioritizes sources, specifically monocrystalline solar cells with 20% efficiency photovoltaic (PV) flat plate collectors 90% minimal loss thermal energy. Thermal is stored paraffin wax, chosen its high storage properties. also utilizes an absorption chiller coefficient performance (COP) provide cooling using building's loads categorized as A, B, C, D, each utilizing PV A SCADA oversees operation, monitoring on–off status these loads. designed continuous simulations conducted Anaconda Jupyter Notebook Python. model aims offer sustainable efficient solution buildings, meeting demands while optimizing use.

Language: Английский

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Energy Management in a Super-Tanker Powered by Solar, Wind, Hydrogen and Boil-Off Gas for Saving CO2 Emissions

Electronics, Journal Year: 2024, Volume and Issue: 13(8), P. 1567 - 1567

Published: April 19, 2024

In terms of energy generation and consumption, ships are autonomous isolated systems, with power demands varying according to the type ship: passenger or commercial. The supply in modern is based on thermal engines-generators, which use fossil fuels, marine diesel oil (MDO) liquefied natural gas (LNG). continuous operation engines during cruises results increased emissions polluting gases, mainly CO/CO2. combination renewable sources (REs) triple-fuel (TFDEs) can reduce CO/CO2 emissions, resulting a “greener” interaction between ecosystem. This work presents new control method for balancing load ship equipped TFDEs, fuel cells (FCs), REs, real accurate model super-tanker simulation its cruise conditions. TFDE technology capable using different fuels (marine oil, heavy liquified gas), producing required operation, as well compositions other diesel, aiming gases produced. management system (EMS) designed implemented structure finite state machine (FSM), logical design transitions from state. demonstrate that further reductions consumption CO2 possible if combined FC units consume hydrogen fuel. produced locally through electrolysis electric generated by on-board photovoltaic systems (PVs) wind conversion turbines (WECs).

Language: Английский

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Predictive Maintenance in IoT-Monitored Systems for Fault Prevention

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(5), P. 57 - 57

Published: Sept. 19, 2024

This paper focuses on predictive maintenance for simple machinery systems monitored by the Internet of Things (IoT). As these can be challenging to model due their complexity, diverse typologies, and limited operational lifespans, traditional approaches face obstacles lack extensive historical data. To address this issue, we propose a novel clustering-based process that identifies potential faults. The proposed approach lies in empowering decision-makers define policies based reliability fault classification. Through case study involving real sensor data from doors transportation vehicle, specifically bus, demonstrate practical applicability effectiveness our method preemptively preventing faults enhancing practices. By leveraging IoT employing clustering techniques, offers promising avenue cost-effective strategies systems. part quality assurance, comparison between system, pattern recognition neural network, support vector machine has been conducted. For last two methods, performance is lower than first one proposed.

Language: Английский

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New Opportunities in Real-Time Diagnostics of Induction Machines

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3265 - 3265

Published: July 3, 2024

This manuscript addresses the critical challenges in achieving high-accuracy remote control of electromechanical systems, given their inherent nonlinearities and dynamic complexities. Traditional diagnostics often suffer from data inaccuracies limitations analytical techniques. The focus is on enhancing model accuracy for induction motor both closed- open-loop speed which essential real-time process monitoring. proposed solution includes measurements input output physical quantities to mitigate traditional diagnostic methods. discusses theoretical aspects nonlinear torque formation drives introduces a employing vector schemes alongside standard frequency These approaches optimize converter settings enhance system performance under varying conditions. Additionally, explores methods analyze dynamic, systematic errors arising inertial properties, thereby improving equipment condition diagnostics. By addressing these challenges, significantly advances field, offering promising future with enhanced accuracy, monitoring techniques, advanced reliability performance.

Language: Английский

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Review of Monitoring and Control Systems Based on Internet of Things

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8943 - 8943

Published: Oct. 4, 2024

The Internet of Things is currently one the fastest-growing branches computer science. development 5G wireless networks and modern data transmission protocols offers excellent opportunities for rapid in this field. article presents an overview monitoring control systems based on Things. authors discuss various aspects these systems, including their architecture, applications, challenges. We focus analyzing latest achievements field, considering technological innovations practical applications sectors. Also, we emphasize importance integrating from multiple sources developing analysis algorithms to ensure effectiveness precision IoT-based systems. provides a valuable current state knowledge dynamic area, inspiring further research development. It also includes case studies showing IoT device energy consumption management.

Language: Английский

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Economic Optimization of a Hybrid Power Plant with Nuclear, Solar, and Thermal Energy Conversion to Electricity

Journal of Nuclear Engineering, Journal Year: 2024, Volume and Issue: 6(1), P. 2 - 2

Published: Dec. 26, 2024

This research presents a new solution for optimizing the economics of energy produced by hybrid power generation plant that converts nuclear, solar, and thermal into electricity while operating under load-following conditions. To achieve benefits cleaner with minimal production costs, multi-criteria management decisions are applied. The investigation system combining demonstrates impact such technology on optimal price generated energy; introduction nuclear reactors in systems reduces cost compared to equivalent solar fossil fuel systems. method can be applied plants various sizes configurations, making it useful tool engineers, researchers, managers sector.

Language: Английский

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