Hydrogen in Renewable-Intensive Energy Systems: Path to Becoming a Cost-Effective and Efficient Storage Solution DOI
Chunzi Qu, Rasmus Noss Bang, Leif Kristoffer Sandal

и другие.

Опубликована: Янв. 1, 2025

This paper examines the integration of hydrogen storage in renewable-intensive energy systems. Current technology is too costly and inefficient, but reducing costs to 12.5% current levels increasing round-trip efficiency 70% could make it competitive. These are challenging targets feasible given positive predictions on cost reduction attainability currently. Hydrogen reduces total system by partly replacing lithium batteries lower costs, due its suitability for long-term storage, while grid flexibility transmission costs. Moreover, integrating can decrease share nuclear fossil fuels generation mix, Italy Germany identified as primary expansion Europe. In scenarios limited supply, becomes more competitive essential compensate capacity shortages, though may not reduce

Язык: Английский

Recent advancement in energy storage technologies and their applications DOI

Mahroza Kanwal Khan,

Mohsin Raza,

Muhammad Shahbaz

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 92, С. 112112 - 112112

Опубликована: Май 25, 2024

Язык: Английский

Процитировано

26

A Novel Voltage Control System Based on Deep Neural Networks for MicroGrids Including Communication Delay as A Complex and Large-Scale System DOI
Sara Mahmoudi Rashid

ISA Transactions, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

7

Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems DOI Creative Commons
Ismail Elabbassi,

Mohamed Khala,

Naima Elyanboiy

и другие.

Results in Engineering, Год журнала: 2024, Номер 21, С. 101888 - 101888

Опубликована: Фев. 10, 2024

This study addresses the critical issue of energy management in micro-grid (MG) systems incorporating renewable sources and hydrogen storage. The research introduces an innovative approach by conducting a comparative analysis two machine learning methods, namely k-Nearest Neighbors (k-NN) Random Forest (RF), to optimize decision-making. investigation reveals consistent superiority Forest, particularly precision F1-scores, across key components such as fuel cell relay, battery super-capacitor grid system relay. results demonstrate that RF method consistently achieves high macro average factors (90%, 86%, 84%, 82%) impressive F1-scores 87%, 88%, 85%), surpassing performance k-NN, which yields notably lower (30%, 15%, 14%, 28%) (41%, 23%, 26%, 34%). superior positions robust for decision-making, specifically realm storage sources. novelty this work lies establishing reliable tool capable handling intricacies thereby enhancing sustainable processes. Additionally, resilience imbalanced data adds its effectiveness diverse operational scenarios. sheds light on potential contribute significantly advancement solutions systems.

Язык: Английский

Процитировано

17

Adaptive energy management strategy for optimal integration of wind/PV system with hybrid gravity/battery energy storage using forecast models DOI Creative Commons
Anisa Emrani, Youssef Achour, M. J. Sanjari

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 96, С. 112613 - 112613

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

17

Hydrogen storage integrated in off-grid power systems: a case study DOI Creative Commons
Roberta Tatti, Mario Petrollese,

Marialaura Lucariello

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 79, С. 164 - 176

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

11

Energy storage properties and mechanical strengths of 3D printed porous concrete structural supercapacitors reinforced by electrodes made of carbon-black-coated Ni foam DOI
Qifeng Lyu,

Yalun Wang,

Daifen Chen

и другие.

Cement and Concrete Composites, Год журнала: 2025, Номер 157, С. 105926 - 105926

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

2

Is renewable energy storage sustainable? A review DOI Creative Commons
Aleksandar Anastasovski

Green Technologies and Sustainability, Год журнала: 2025, Номер unknown, С. 100176 - 100176

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

Storage solutions for renewable energy: A Review DOI Creative Commons

Eduard Enasel,

Gheorghe Dumitraşcu

Energy Nexus, Год журнала: 2025, Номер unknown, С. 100391 - 100391

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

Research on the Safety Risk Analysis Framework and Control System for Multi-Type New Energy Storage Technologies DOI Creative Commons

Ningning Lian,

Wentao Ji, Jie Chen

и другие.

Energies, Год журнала: 2025, Номер 18(4), С. 798 - 798

Опубликована: Фев. 8, 2025

In the context of global energy landscape restructuring driven by “dual-carbon” goals, new storage technologies have emerged as a critical enabler for transformation and development power system. However, these advance market expands, ensuring safety remains significant long-term challenge. This paper focuses on risk prevention control systems. It systematically reviewed various technology pathways their associated potential risks. Furthermore, it analyzed challenges difficulties faced in across different stages projects, including large-scale application, pilot demonstration, R&D reserves. Considering technical uncertainties future storage, this study evaluated risks proposed corresponding strategies measures management. By addressing challenges, aims to safe-guard security reliability technologies, thereby supporting construction robust sustainable

Язык: Английский

Процитировано

1

Microstructural feature and hydrogen storage properties of TiFe0.7Mn0.2X0.1 (X = V, Cr, Co, Ni, Cu) hydrogen storage alloy DOI Creative Commons

Ryun-Ho Kwak,

Sojin Jung,

Tae Yoon Park

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 113, С. 485 - 494

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1