The Flywheel Energy Storage System: An Effective Solution to Accumulate Renewable Energy

Nguyen, Xuan Phuong; Hoang, Anh Tuan

doi:10.1109/icaccs48705.2020.9074469

Cited by 36 publications

(9 citation statements)

References 35 publications

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“…2. The ratio of brake energy and energy losses to the total kinetic energy of selected vehicle types [23] In Vietnam, many specialized vehicles only use friction brakes like buses in circulation [25]. Due to the operating characteristics, this vehicle must brake to pick up passengers at the stops continuously on the moving road.…”

Section: Introductionmentioning

confidence: 99%

[RETRACTED] Investigation for Evaluating the Energy Recovery Capacity of the Mechanical Brake System on Urban Buses: A Case in Vietnam

Trinh

Nguyen

Dong

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Currently, traditional fossil energy is gradually exhausted for sustainable economic development, and environmental protection is an urgent requirement for all countries. Therefore, the issue of saving energy, as well as exploiting renewable energy sources, is being prioritized for development. The braking system collects dynamic energy, also known as the regenerative braking system, which is understood as the brake system; instead of converting kinetic energy into heat, the brake system can collect and store energy. The brake system of the bus in use is usually frictional. During braking, this type of brake system converts the vehicle's kinetic energy into heat, dissipates it into the surrounding environment, and cannot be recovered. Moreover, due to the operational characteristics, the bus has high stopping frequency and high braking capacity, leading to wasted energy, in addition to producing many emissions causing environmental pollution. This study focuses on experimental research for evaluating the dynamic energy acquisition of the mechanical brake system on a school bus as a function of operating parameters such as vehicle speed according to gears, vehicle mass as well as hydraulic pressure parameters. The results are noticed that the highest dynamic energy recovery rate is about 35% in the lowest gear. In the case, from the initial braking velocity of 30km/h to 0 km/h, the initial working pressure of the hydraulic tank is 100bar, the dynamic energy recovery rate is about 25%.

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Section: Introductionmentioning

confidence: 99%

[RETRACTED] Investigation for Evaluating the Energy Recovery Capacity of the Mechanical Brake System on Urban Buses: A Case in Vietnam

Trinh

Nguyen

Dong

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…During sunny or windy seasons, storing energy helps in compensating the oscillations in power that occurs because of wind and solar sources. 27,28,82 Flywheels can be used along with batteries to enhance the output power of a solar system, as well as it can alone adjust the wind oscillations, improving the overall frequency. 27,83 Authors have illustrated the use of a hybrid system made by combining photovoltaic panels and wind turbines and have specified the consumption of 40% fuel due to diesel generators, which could not result in preserving fuel.…”

Section: Renewable Energy Sources Integrationmentioning

confidence: 99%

Flywheel energy storage systems: A critical review on technologies, applications, and future prospects

Choudhury

2021

Int Trans Electr Energ Syst

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Energy storage systems (ESSs) are the technologies that have driven our society to an extent where the management of the electrical network is easily feasible. The balance in supply-demand, stability, voltage and frequency lag control, and improvement in power quality are the significant attributes that fascinate the world toward the ESS technology. However, being one of the oldest ESS, the flywheel ESS (FESS) has acquired the tendency to raise itself among others being eco-friendly and storing energy up to megajoule (MJ). Along with these, FESS also surpasses the quality of high power density, longer life cycle, higher rate of charge and discharge cycle, and greater efficiency. In this article, an overview of the FESS has been discussed concerning its background theory, structure with its associated components, characteristics, applications, cost model, control approach, stability

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“…These trends encompass decreasing costs, technological advancements, regulatory support, efforts to combat climate change, and a growing recognition of the significance of environmental sustainability [64]- [66]. Despite facing challenges like grid integration and intermittency [67], [68], ongoing developments in energy storage [69], [70], using phase change materials [71]- [73], grid infrastructure [74], [75], and renewable energy forecasting [76]- [78] are addressing these issues and creating new opportunities for the expansion of renewable energy. Ultimately, renewable energy has transformed from a niche option to a widely adopted energy source, vital in the global shift towards a sustainable, low-carbon future [79]- [82].…”

Section: Introductionmentioning

confidence: 99%

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Nguyen,

Paramasivam,

Dong

et al. 2024

JOIV : Int. J. Inform. Visualization

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Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, and solar power, can revolutionize the energy industry. Biomass and biofuels have benefited significantly from implementing AI and ML algorithms that optimize feedstock, enhance resource management, and facilitate biofuel production. By applying insight derived from data analysis, stakeholders can improve the entire biofuel supply chain - including biomass conversion, fuel synthesis, agricultural growth, and harvesting - to mitigate environmental impacts and accelerate the transition to a low-carbon economy. Furthermore, implementing AI and ML in combustion systems and engines has yielded substantial improvements in fuel efficiency, emissions reduction, and overall performance. Enhancing engine design and control techniques with ML algorithms produces cleaner, more efficient engines with minimal environmental impact. This contributes to the sustainability of power generation and transportation. ML algorithms are employed in solar energy to analyze vast quantities of solar data to improve photovoltaic systems' design, operation, and maintenance. The ultimate goal is to increase energy output and system efficiency. Collaboration among academia, industry, and policymakers is imperative to expedite the transition to a sustainable energy future and harness the potential of AI and ML in renewable energy. By implementing these technologies, it is possible to establish a more sustainable energy ecosystem, which would benefit future generations.

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The Flywheel Energy Storage System: An Effective Solution to Accumulate Renewable Energy

Cited by 36 publications

References 35 publications

[RETRACTED] Investigation for Evaluating the Energy Recovery Capacity of the Mechanical Brake System on Urban Buses: A Case in Vietnam

[RETRACTED] Investigation for Evaluating the Energy Recovery Capacity of the Mechanical Brake System on Urban Buses: A Case in Vietnam

Flywheel energy storage systems: A critical review on technologies, applications, and future prospects

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

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