Considering Carbon–Hydrogen Coupled Integrated Energy Systems: A Pathway to Sustainable Energy Transition in China Under Uncertainty DOI Open Access

A. Lu,

Jianguo Zhou,

Minglei Qin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9256 - 9256

Published: Oct. 24, 2024

The low-carbon construction of integrated energy systems is a crucial path to achieving dual carbon goals, with the power-generation side having greatest potential for emissions reduction and most direct means reduction, which current research focus. However, existing studies lack precise modeling capture devices cascaded utilization hydrogen energy. Therefore, this paper establishes power plant model based on comprehensive, flexible operational mode coupled two-stage P2G (Power-to-Gas) device, exploring “energy time-shift” characteristics system. IGDT (Information Gap Decision Theory) used discuss impact uncertainties generation results show that by promoting consumption clean utilizing high efficiency while reducing reliance fossil fuels, proposed system not only meets demands but also achieves more efficient emission laying solid foundation sustainable future. By considering uncertainties, ensures resilience adaptability under fluctuating renewable supply conditions, making significant contribution field transition.

Language: Английский

Transitioning to Sustainable E-Vehicle Systems – Global Perspectives on the Challenges, Policies and Opportunities DOI Creative Commons

R. Udendhran,

T. Roosefert Mohan,

Rajendra Babu

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100619 - 100619

Published: Jan. 1, 2025

Language: Английский

Citations

1
Lithium Battery Enhancement Through Electrical Characterization and Optimization Using Deep Learning DOI Creative Commons
Juan de Anda-Suárez, Germán Pérez-Zúñiga, José Luis López-Ramírez

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(3), P. 167 - 167

Published: March 13, 2025

Research on lithium-ion batteries has been driven by the growing demand for electric vehicles to mitigate greenhouse gas emissions. Despite advances, still face significant challenges in efficiency, lifetime, safety, and material optimization. In this context, objective of research is develop a predictive model based Deep deep-Learning learning techniques. Based Learning techniques that combine Transformer Physicsphysics-Informed informed approaches optimization design electrochemical parameters improve performance lithium batteries. Also, we present training database consisting three key components: numerical simulation using Doyle–Fuller–Newman (DFN) mathematical model, experimentation with half-cell configured zinc oxide anode, set commercial battery discharge curves electronic monitoring. The results show developed Transformer–Physics physics-Informed can effectively integrate deep deep-learning DNF make predictions behavior estimate battery-charge capacity an average error 2.5% concerning experimental data. addition, it was observed could explore new allow evaluation without requiring invasive analysis their internal structure. This suggests assess optimize various applications, which significantly impact industry its use Electric Vehicles (EVs).

Language: Английский

Citations

0
A Compact Overview on Li-Ion Batteries Characteristics and Battery Management Systems Integration for Automotive Applications DOI Creative Commons
Andrea Ria, Pierpaolo Dini

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5992 - 5992

Published: Nov. 28, 2024

The transition to sustainable mobility is progressing rapidly, with electric vehicles (EVs) playing a pivotal role in lowering greenhouse gas emissions and reducing the reliance on fossil fuels. At core of this transformation are lithium-ion batteries (Li-ion), valued for their high energy density long cycle life. However, increasing demand EVs necessitates continuous improvements battery technology integration advanced systems ensure safe, efficient, reliable performance. This review offers clear comprehensive summary latest innovations Li-ion chemistry, pack design, Battery Management System (BMS) functionalities. Unlike other reviews, work emphasizes practical considerations, such as voltage, power, size, weight commercial vehicles. It also addresses integrated safety solutions, including disconnection pre-charge circuits, which vital enhancing lifespan. Additionally, it explores key BMS functions, like cell monitoring, balancing, thermal management, all crucial maximizing performance ensuring safe operation. By consolidating current research industry practices, article provides essential information concise yet accessible format. enables researchers quickly gain solid understanding field, distinguishing itself from reviews that focus narrower aspects technology. Its holistic approach delivers valuable insights improving EV charging systems’ performance, making highly useful resource professionals alike.

Language: Английский

Citations

2
Considering Carbon–Hydrogen Coupled Integrated Energy Systems: A Pathway to Sustainable Energy Transition in China Under Uncertainty DOI Open Access

A. Lu,

Jianguo Zhou,

Minglei Qin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9256 - 9256

Published: Oct. 24, 2024

The low-carbon construction of integrated energy systems is a crucial path to achieving dual carbon goals, with the power-generation side having greatest potential for emissions reduction and most direct means reduction, which current research focus. However, existing studies lack precise modeling capture devices cascaded utilization hydrogen energy. Therefore, this paper establishes power plant model based on comprehensive, flexible operational mode coupled two-stage P2G (Power-to-Gas) device, exploring “energy time-shift” characteristics system. IGDT (Information Gap Decision Theory) used discuss impact uncertainties generation results show that by promoting consumption clean utilizing high efficiency while reducing reliance fossil fuels, proposed system not only meets demands but also achieves more efficient emission laying solid foundation sustainable future. By considering uncertainties, ensures resilience adaptability under fluctuating renewable supply conditions, making significant contribution field transition.

Language: Английский

Citations

0