Advancements in hybrid energy storage systems for enhancing renewable energy-to-grid integration

Sustainable Energy Research, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 20, 2024

Abstract The global energy sector is currently undergoing a transformative shift mainly driven by the ongoing and increasing demand for clean, sustainable, reliable solutions. However, integrating renewable sources (RES), such as wind, solar, hydropower, introduces major challenges due to intermittent variable nature of RES, affecting grid stability reliability. Hybrid storage systems (HESS), which combine multiple devices (ESDs), present promising solution leveraging complementary strengths each technology involved. This comprehensive review examines recent advancements in grid-connected HESS, focusing on their components, design considerations, control strategies, applications. It provides detailed analysis technological progress various ESDs critical role power conversion, control, management, cooling optimizing HESS performance. Highlighting case studies some notable successful implementations across globe, we illustrate practical applications identify benefits encountered. By addressing these challenges, can significantly enhance efficiency reliability supporting towards sustainable resilient infrastructure. paper concludes identifying future research directions, highlighting development intelligent systems, materials, efficient recycling processes ensure widespread adoption long-term viability HESS.

Language: Английский

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Optimizing renewable energy systems for 100 % clean energy target: A comparative study of solar, hydro, pumped hydro, and battery storage technologies

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 104, P. 114441 - 114441

Published: Nov. 15, 2024

Language: Английский

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A Risk Preference-Based Optimization Model for User-Side Energy Storage System Configuration from the Investor’s Perspective

Electricity, Journal Year: 2025, Volume and Issue: 6(1), P. 3 - 3

Published: Jan. 20, 2025

To enhance the utilization of emerging energy sources, application battery storage systems (BESSs) was increasingly explored by investors. However, immature development BESS technologies introduced supply–demand imbalances, complicating establishment standardized cost analysis frameworks for potential investments. address this challenge, a hybrid optimization model user-side developed to maximize total net returns over system’s entire life cycle. The accounted factors such as arbitrage revenue, government tariff subsidies, reductions in electricity transmission fees, delays grid upgrades, and overall cycle costs. Conditional value-at-risk (CVaR) employed risk assessment metric provide investment allocation recommendations across various scenarios. An example conducted allocate evaluate different types. results demonstrated that identified optimal strategies aligned with investors’ preferences, enabling informed decision-making balanced operational stability. This approach enhanced resilience economic viability configurations.

Language: Английский

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Perspectives on decarbonisation of existing buildings in Europe

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122490 - 122490

Published: Jan. 1, 2025

Language: Английский

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Projection of Electricity Generation Profiles and Carbon Emissions Towards 2050: A Malaysia Context

Energy Sustainable Development/Energy for sustainable development, Journal Year: 2025, Volume and Issue: 85, P. 101681 - 101681

Published: Feb. 20, 2025

Language: Английский

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Integrated Battery and Hydrogen Energy Storage for Enhanced Grid Power Savings and Green Hydrogen Utilization

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7631 - 7631

Published: Aug. 29, 2024

This study explores the integration and optimization of battery energy storage systems (BESSs) hydrogen (HESSs) within an management system (EMS), using Kangwon National University’s Samcheok campus as a case study. research focuses on designing BESSs HESSs with specific technical specifications, such capacities power ratings, their into EMS. By employing MATLAB-based simulations, this analyzes dynamics, grid interactions, load strategies under various operational scenarios. Real-time data from are utilized to examine consumption, renewable generation, fluctuations, pricing providing key insights for optimization. finds that BESS manages fluctuations between 0.5 kWh 3.7 over 24 h period, remaining close 4 W extended periods. Grid fluctuates −5 kW 75 kW, while prices range 120 USD/kWh, peaking at 111 USD/kWh. Hydrogen varies 1 8 kWh, ranging −40 40 kW. Load keeps stable around 35 PV peaks 48 by 10th h. The findings highlight effectively manage distribution storage, improving efficiency, reducing costs approximately 15%, enhancing stability 20%. underscores potential in stabilizing operations integrating energy. Future directions include advancements technologies, enhanced EMS capabilities through artificial intelligence machine learning, development smart infrastructures. Policy recommendations stress importance regulatory support stakeholder collaboration drive innovation scale deployment, ensuring sustainable future.

Language: Английский

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Flexible-fidelity modeling for faster-than-real-time emulation of modular multilevel converter with battery energy storage

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115270 - 115270

Published: Jan. 16, 2025

Language: Английский

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Enhancing grid stability and resilience through BESS optimal placement and sizing in VRES-dominated systems

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 1764 - 1779

Published: Jan. 23, 2025

Language: Английский

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Storage economy and markets

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 187 - 209

Published: Jan. 1, 2025

Language: Английский

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High-Entropy-Inspired Construction of Two-Dimensional Metal Phosphorus Tri-Selenides for Superior-Performance Lithium-Ion Batteries

Published: Jan. 1, 2025

Language: Английский

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