4E performance evaluation of renewable microgrids: Comparing hydrogen and battery storage for nearly net zero energy buildings DOI

Zahra Piryaei,

Aslan Gholami, Majid Zandi

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 332, P. 119711 - 119711

Published: March 12, 2025

Language: Английский

A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques DOI Open Access

Muhammad Raheel Khan,

Zunaib Maqsood Haider, Farhan Hameed Malik

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(2), P. 270 - 270

Published: Jan. 26, 2024

The relentlessly depleting fossil-fuel-based energy resources worldwide have forbidden an imminent crisis that could severely impact the general population. This dire situation calls for immediate exploitation of renewable to redress balance between power consumption and generation. manuscript confers about management tactics optimize methods production consumption. Furthermore, this paper also discusses solutions enhance reliability electrical system. In order elucidate enhanced system, microgrids consisting different resources, load types, optimization techniques are comprehensively analyzed explore significance systems (EMSs) demand response strategies. Subsequently, role EMS proper considering advent electric vehicles (EVs) in market. main reason integrate EVs is growing hazards climate change due carbon emissions. Moreover, sheds light on importance artificial intelligence (AI) technological realm its incorporation into with notion strengthening existing smart grid technologies handle uncertainties management. delineates methodologies effectively mitigate probability facing cyber-attacks make grids invulnerable.

Language: Английский

Citations

37

Sustainable Electrification—Advances and Challenges in Electrical-Distribution Networks: A Review DOI Open Access
Jimmy Gallegos, Paúl Arévalo, Christian Montaleza

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 698 - 698

Published: Jan. 12, 2024

This paper provides a thorough exploration of the evolution and contemporary trends in electrical-distribution networks, with focus on smart grids context Industry 4.0. Beginning traditional components electrical grids, study highlights transition towards sustainable energy sources integration renewables. Key include economic operation, application distributed resources, significance photovoltaic solar energy. The unfolds seven sections, examining smart-electrical-network architecture, technology progression, efficiency, carbon-emission-reduction challenges, future perspectives, concluding insights. Each section delves into specific layers aspects, such as data management, infrastructure, automation, consumer interaction. intricate role meters their impact management is explored, providing comprehensive overview current state directions networks.

Language: Английский

Citations

29

A new approach for failure mode and effect analysis based on Fermatean fuzzy Z-number weighted Muirhead mean operator DOI
Chuanhai Chen,

Ruiliang Zhang,

Jun Guo

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 110080 - 110080

Published: Jan. 17, 2025

Language: Английский

Citations

2

Energy management of electric-hydrogen hybrid energy storage systems in photovoltaic microgrids DOI
Yuzhen Tang, Qian Xun, Marco Liserre

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 80, P. 1 - 10

Published: July 15, 2024

Language: Английский

Citations

11

Performance prediction of hybrid system using loop heat pipe-photovoltaic thermal and proton exchange membrane water electrolyzer DOI
Shoaib Ahmed Khan, Jie Ji

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 313, P. 118626 - 118626

Published: May 31, 2024

Language: Английский

Citations

9

A multi-objective robust optimal dispatch and cost allocation model for microgrids-shared hybrid energy storage system considering flexible ramping capacity DOI

Yushu Pan,

Liwei Ju,

Shenbo Yang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 369, P. 123565 - 123565

Published: June 5, 2024

Language: Английский

Citations

9

Formulation of best estimate plus uncertainty methodologies for economy decarbonization in high-energy-demand isolated systems: Canary Islands forecasts for 2040 DOI Creative Commons
Lucas Álvarez-Piñeiro, Yago Rivera, C. Berna

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 314, P. 118691 - 118691

Published: June 20, 2024

This study explores the transition of Canary Islands from a fossil fuel-dependent energy system to decarbonized economy framework by 2040, utilizing novel Best Estimate Plus Uncertainty (BEPU) approach integrated with Wilk's formula. The research focuses on challenges and methodologies involved in shifting green sources—specifically solar photovoltaic, wind nuclear power—while also incorporating hydrogen as an alternative vector for non-electrifiable sectors. BEPU is central methodology, enhanced correlation analysis synthetic curve generation techniques address inherent variability renewable sources fluctuating demands identify most important inputs uncertainties optimized deterministic scenario. Using Formula, this methodology allows detailed examination 459 different input variable random combinations speed, sun irradiance, electric demand uncertainties, reaching 99/99% coverage confidence levels. 60% simulations showed shortages, potential up 5.2% total demand. To counteract risk isolated power system, 30% increase installed capacity was deemed necessary, which resulted 15% rise overall costs ensure fulfillment across all simulations. highlights significance economic growth electrification vehicle fleet meeting future uncertain Islands. Significant advancements infrastructure are needed reliability meet demands.

Language: Английский

Citations

9

Dual-layer adaptive power management strategy for E-tractor incorporating operating information and deep reinforcement learning DOI

Xionglin He,

Qiang Yu,

Zihong Jiang

et al.

Energy, Journal Year: 2025, Volume and Issue: 319, P. 134942 - 134942

Published: Feb. 19, 2025

Language: Английский

Citations

1

Quantifying the impact of building load forecasts on optimizing energy storage systems DOI
Lunlong Li, Yi Ju, Zhe Wang

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 307, P. 113913 - 113913

Published: Jan. 26, 2024

Language: Английский

Citations

7

A multi-objective energy scheduling of the reconfigurable off-grid microgrid with electric vehicles using demand response program DOI
Pratik Harsh, Debapriya Das

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 117, P. 109275 - 109275

Published: May 8, 2024

Language: Английский

Citations

7