
Results in Engineering, Год журнала: 2024, Номер unknown, С. 103191 - 103191
Опубликована: Окт. 1, 2024
Язык: Английский
Results in Engineering, Год журнала: 2024, Номер unknown, С. 103191 - 103191
Опубликована: Окт. 1, 2024
Язык: Английский
IFAC-PapersOnLine, Год журнала: 2024, Номер 58(13), С. 472 - 477
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
3Journal of Energy Storage, Год журнала: 2024, Номер 109, С. 115219 - 115219
Опубликована: Дек. 31, 2024
Язык: Английский
Процитировано
3Engineering Reports, Год журнала: 2025, Номер 7(1)
Опубликована: Янв. 1, 2025
ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates design, modeling, simulation a 2.5 MW solar‐wind hybrid renewable system (SWH‐RES) optimized for domestic grid applications. A survey conducted across 450 households identified total 2.3 MW, with distinct day night usage profiles. In response, consisting 1.5 solar park 1 wind unit was designed to ensure continuous power supply. modeled simulated using MATLAB, its performance evaluated through detailed Total Harmonic Distortion (THD) analysis. addresses critical need high‐quality supply designing, simulating meet surveyed load, while also reducing THD acceptable levels improved quality stability. results demonstrated significant reduction in THD, voltage decreasing from 45.48% 26.20% current 8.32% 2.88% after implementing filtering components. These findings underscore effectiveness proposed SWH‐RES providing stable, addressing growing
Язык: Английский
Процитировано
0AIMS energy, Год журнала: 2025, Номер 13(1), С. 188 - 230
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Engergy systems in electrical engineering, Год журнала: 2025, Номер unknown, С. 55 - 69
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Engergy systems in electrical engineering, Год журнала: 2025, Номер unknown, С. 1 - 21
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 253 - 310
Опубликована: Май 28, 2025
The Green Internet of Vehicles (GIoV) integrates smart mobility, sustainable energy, and 5G networks, demanding efficient energy management to support environmental sustainability operational performance. This chapter highlights the transformative role Artificial Intelligence (AI) in optimizing consumption within GIoV ecosystems. It explores AI techniques such as fuzzy logic, artificial neural networks (ANN), deep learning (DL), reinforcement (RL) intelligently manage optimize routing, predict vehicle behaviour, integrate renewable solutions. discusses intelligent systems, dynamic power optimization, AI-enhanced communication protocols, while addressing key challenges like computational limits, data privacy, real-time decision-making constraints. Simulation-based studies, practical applications, future research directions are also presented, offering insights for researchers, engineers, policymakers driving transportation
Язык: Английский
Процитировано
0IFAC-PapersOnLine, Год журнала: 2024, Номер 58(13), С. 7 - 12
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
2Journal of Marine Science and Application, Год журнала: 2024, Номер unknown
Опубликована: Окт. 29, 2024
Язык: Английский
Процитировано
2e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2024, Номер 9, С. 100680 - 100680
Опубликована: Июль 14, 2024
This article presents the complete design of a nonlinear control system for multiple stationary bikes connected to mechanical energy conversion equipped with squirrel cage induction generators (SIGs) linked AC/DC converters. The primary objective this study is investigate feasibility powering treadmills using DC bus via DC/AC novelty our approach lies in integration new strategy achieve objectives within gym microgrid environment, and an management algorithm ensure flow between intermittent generation considered, somewhat random, demand. composed several subsystems: i) inverters acting as power sources; ii) Li-ion battery-based storage interfaced through Buck-Boost converter; iii) electromechanical loads, including treadmills, powered by converters, addition other loads. main are follows: a) each bike extracts from network regulating torque applied athlete, ensuring that follows reference torque; b) treadmill's speed must follow generated based on athlete's condition; c) protection monitoring its current voltage; d) all mentioned achieved while maintaining voltage at value. To these objectives, Lyapunov theory used controllers. A formal analysis conducted assess performance studied system. system's demonstrated MATLAB/Simulink environment. Numerous simulations demonstrate every achieved. Specifically, maintained 500 V maximum deviation 1 V, treadmill followed margin 0.1 m/s.
Язык: Английский
Процитировано
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