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Energy scheduling of renewable integrated system with hydrogen

Hydrogen storage is used to store electric energy and feed hydrogen consumers. The methodology adopted here is expressed as a multi-objective formulation to be

Hydrogen Storage Law and Nanoscale Occurrence Mechanism of

Hydrogen energy is pivotal for driving sustainable development and achieving deep decarbonization; yet, its storage remains a significant challenge. Notably, depleted

Intelligent Energy Invests in MW Fuel Cell Testing

Intelligent Energy invests in MW fuel cell testing facility Significant investment in new electrolyser and test facility will boost testing of

Hydrogen UAV | Fuel Cells for Unmanned Aerial

Hydrogen fuel cell UAVs Flight time and payload limitations are key factors for UAV operators. When compared to batteries, hydrogen fuel cells win. Their

An Optimized Prediction Horizon Energy Management Method for

Model predictive control is a real-time energy management method for hybrid energy storage systems, whose performance is closely related to the prediction horizon. However, a longer

Deep reinforcement learning and fuzzy logic controller codesign

Article Open access Published: 28 December 2024 Deep reinforcement learning and fuzzy logic controller codesign for energy management of hydrogen fuel cell

Hybrid Energy Systems: Driving Reliable Renewable

About this book This book discusses innovations in the field of hybrid energy storage systems (HESS) and covers the durability, practicality, cost

A cloud energy management strategy for intelligent connected

Intelligent connected hybrid electric vehicle (ICHEV) is one of the important means to achieve the energy saving and carbon neutralization in the future. For the large-scale

Hydrogen UAV | Fuel Cells for Unmanned Aerial Vehicles

Hydrogen fuel cell UAVs Flight time and payload limitations are key factors for UAV operators. When compared to batteries, hydrogen fuel cells win. Their high-energy density enables a fuel

Artificial intelligence and robotics in the hydrogen lifecycle: A

This paper presents a comprehensive review of the current advancements published over the past two decades (2005–2025), analyzing AI and robotics applications

Hybrid energy storage system for intelligent electric vehicles

Existing energy storage system is difficult to balance the energy distribution and dynamic response efficiency issues of lithium-ion batteries and supercapacitor, resulting in low

(PDF) Artificial Intelligence‐Driven Innovations in Hydrogen

By systematically analyzing the limitations of existing hydrogen storage approaches and the transformative potential of artificial intelligence‐driven methods, this review

HydoTech Secures Major Global Investment to Expand Green Hydrogen

The company has partnered with leading petrochemical and fuel cell enterprises to establish integrated hydrogen production and refueling stations in Xinjiang and Qinghai, while

Intelligent hydrogen-ammonia combined energy storage system

Efficient use of these resources has become a critical research focus. Here we propose an intelligent hydrogen-ammonia combined energy storage system. To maximize net

Maximising hydrogen fuel cell efficiency in stationary

1. Abstract This white paper details the benefits of fuel cell use in stationary power applications and Intelligent Energy''s evaporatively cooled architecture in particular. I t highlights the

Intelligent energy management strategy of hybrid energy storage

To achieve optimal power distribution of hybrid energy storage system composed of batteries and supercapacitors in electric vehicles, an adaptive wavelet transform-fuzzy logic

Potential applications of innovative AI-based tools in hydrogen energy

Renewable energy development is crucial due to fossil fuels'' environmental impact. Hydrogen energy, a promising alternative to reduce emissions, faces challenges in

Eco-Driving of Fuel Cell Hybrid Electric Vehicle in Variable

Eco-driving control holds significant potential for energy savings in clean energy vehicles, but its development in this area has been inhibited by complex traffic scenarios and

Artificial Intelligence‐Driven Innovations in Hydrogen

This review provides a comprehensive overview of the latest advancements in hydrogen storage technologies, with an emphasis on the synergistic

A comprehensive review of the promising clean energy carrier: Hydrogen

Hydrogen has been recognized as a promising alternative energy carrier due to its high energy density, low emissions, and potential to decarbonize various sectors. This

Energy management strategy of flywheel hybrid electric vehicle

Flywheel hybrid electric vehicles (FHEVs) have shown great advantages in energy saving and emission reduction. For the further improvement of fuel economy and

Energy scheduling of renewable integrated system with hydrogen storage

In this article, the energy management of the intelligent distribution system with charging stations for battery-based electric vehicles (EVs) and plug-in hybrid EVs, hydrogen

Deep reinforcement learning-based hierarchical control strategy

Speed optimization and energy management strategies for intelligent fuel cell hybrid electric vehicles (IFCHEVs) can significantly enhance energy utilization efficacy in

Energy management strategies, control systems, and artificial

Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review

Hydrogen energy storage with artificial intelligent

Despite advancements, challenges, and opportunities remain in merging H 2 storage technology and AI. Future research should focus on

Intelligent hydrogen-ammonia combined energy storage system

Here we propose an intelligent hydrogen-ammonia combined energy storage system. To maximize net present value (NPV), deep reinforcement learning (DRL) is employed

Artificial Intelligence‐Driven Innovations in Hydrogen Storage

Moreover, underground hydrogen storage is further explored as a scalable renewable energy storage solution, particularly in terms of optimizing storage parameters and

A novel deep reinforcement learning-based predictive energy

Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: development stages, challenges, and future

The effect of electric vehicle energy storage on the transition to

Even though the storage capacity of the batteries is close to 1–2% of the needed storage capacity of the grid, the superior round-trip storage efficiency of batteries reduces the energy dissipation

Fuel cell-based hybrid electric vehicles: An integrated review of

These include cost concerns, societal awareness, long driving range, development of hydrogen fuel stations, adoption of hybrid energy storage systems, and

Hierarchical intelligent energy-saving control strategy for fuel cell

At the upper layer, a multi-objective intelligent eco-driving control strategy is designed, encompassing driving safety, energy consumption costs, traffic efficiency, and ride

Deep reinforcement learning and fuzzy logic controller codesign

More specifically, this research paper establishes a power system model with three DC-DC converters, which includes a hierarchical energy management framework