Second-Life Electric Vehicle Batteries for Home Photovoltaic Systems: Transforming Energy Storage and Sustainability

Energies, Journal Year: 2024, Volume and Issue: 17(10), P. 2345 - 2345

Published: May 13, 2024

Solar-based home PV systems are the most amazing eco-friendly energy innovations in world, which not only climate-friendly but also cost-effective solutions. The tropical environment of Malaysia makes it difficult to adopt photovoltaic (PV) because protracted rainy monsoon season, useless without backup batteries. Large quantities lithium-ion battery (LIB) trash being produced by electric vehicle (EV) sector. A total 75% highest capacity levels have been discarded. By 2035, is predicted that wasted LIBs held as a result expensive recycling and material separation would carry up 1200 GWh. An economical sustainable option offered our study, prototypes replicated LIB pack incorporated into system. This study investigates transformational power second-life batteries (SLEVBs) when systems. concept entails reusing existing for stationary applications, offering unique approach extending life these while meeting growing need domestic storage. looks at technological feasibility, economic viability, environmental effect introducing SLEVBs household systems, giving vital insight their role revolutionizing storage techniques promoting sustainability. In comparison Lead–Acid Battery (LAB) system, SLEVB system has cheaper cost ownership, with savings 12.62% compared new LABs. CO2 emission reduction least 20% achieved using Electricity can be provided houses rural areas where there no electricity. As result, security superiority residents will improve. It anticipated suggested strategy lower EV pricing, enabling adoption M40 B40 groups. Consequently, Malaysian worldwide business remain viable.

Language: Английский

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Optimizing load frequency control in microgrid with vehicle-to-grid integration in Australia: Based on an enhanced control approach

Applied Energy, Journal Year: 2024, Volume and Issue: 366, P. 123317 - 123317

Published: May 1, 2024

Microgrids are extensively integrated into electrical systems due to their many technical, economic, and environmental advantages. However, they encounter a challenge as experience high-frequency fluctuations caused by the stochastic nature of renewable energy generation, electric loads, presence Electric Vehicles (EVs). Therefore, various techniques, algorithms, controllers have been introduced ensure effective Load Frequency Control (LFC) maintain stable power system in microgrids. These methods aim that system's frequency remains within an acceptable range, especially when faced with changing load demands other factors. This paper presents novel enhanced control approach, Particle Swarm Optimization-Trained Artificial Neural Network (PSO-TANN), optimize model microgrid vehicle-to-grid integration. The results then compared under scenarios, including integration, EV charging discharging dynamics, varying demands. comparative analysis involves assessing performance conventional Proportional–Integral–Derivative (PID) controller, PSO-PID newly proposed controlling technique. suggested controller attains 99.904% efficiency negligible mean squared error 1.1112 × 10−7, decreasing time absolute 1.0 10−4. It shows rapid response, precise targeting, quick peak output ability, marginal overshoot undershoot, transient 28.5626 s, efficiently frequency. Stability validates effectiveness PSO-TANN ensuring stability microgrid's LFC during uncertainties disturbances. establishes resilience, diminishes settling time, maintains reliable while

Language: Английский

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Sustainable Solutions: Integrating Renewable Energy and Electric Vehicles for Cleaner Operations

Journal of Energy Research and Reviews, Journal Year: 2024, Volume and Issue: 16(3), P. 52 - 63

Published: March 30, 2024

In the face of escalating environmental concerns and urgent need to mitigate carbon emissions, integrating renewable energy electric vehicles (EVs) has emerged as a promising avenue for achieving cleaner more sustainable operations across various sectors. This paper explores synergistic potential combining sources with EV technology revolutionize consumption transportation systems. The first part discusses pressing challenges posed by traditional internal combustion engine vehicles, emphasizing transition towards alternatives. It highlights detrimental effects fossil fuel on air quality, public health, climate change, underscoring imperative solutions. Next, delves into advantages such solar, wind, hydropower in providing clean abundant energy. examines advancements technologies, including decreasing costs increasing efficiency, making them increasingly viable alternatives fuels. Subsequently, pivotal role reducing greenhouse gas emissions dependency fuels sector. benefits EVs, zero tailpipe lower lifecycle compared conventional vehicles.

Language: Английский

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Load frequency Control in Renewable based Micro Grid with Deep Neural Network based Controller.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103554 - 103554

Published: Dec. 1, 2024

Language: Английский

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Power system stability in the Era of energy Transition: Importance, Opportunities, Challenges, and future directions

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100820 - 100820

Published: Dec. 1, 2024

Language: Английский

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Strategies for Workplace EV Charging Management

Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 421 - 421

Published: Jan. 19, 2025

Electric vehicles (EVs) help reduce transportation emissions. A user-friendly charging infrastructure and efficient processes can promote their wider adoption. Low-power is effective for short-distance travel, especially when are parked extended periods, like during daily commutes. These idle times present opportunities to improve coordination between EVs service providers meet needs. The study examines strategies coordinated in workplace parking lots minimize the impact on power grid while maximizing satisfaction of demand. Our method utilizes a heuristic approach EV charging, focusing event logic that considers arrival departure energy requirements. We compare various management methods lot against first-in-first-out (FIFO) strategy. Using real data usage, found electric vehicle be achieved either through optimized scheduling with single high-power charger, requiring user cooperation, or by installing multiple chargers alternating sockets. Compared FIFO implemented allow reduction maximum 30 40%, demand rate 99%, minimum SOC amount 83%.

Language: Английский

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Multi-step short-term forecasting of photovoltaic power utilizing TimesNet with enhanced feature extraction and a novel loss function

Applied Energy, Journal Year: 2025, Volume and Issue: 388, P. 125645 - 125645

Published: March 10, 2025

Language: Английский

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Power flow control strategy for prosumer based EV charging scheme to minimize charging impact on distribution network

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 3794 - 3809

Published: March 29, 2025

Language: Английский

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Decarbonizing the Transportation Sector: A Review on the Role of Electric Vehicles Towards the European Green Deal for the New Emission Standards

Air, Journal Year: 2025, Volume and Issue: 3(2), P. 10 - 10

Published: April 1, 2025

The transportation sector has a significant impact on climate change, as it is responsible for 20% of the global greenhouse gas (GHG) emissions. This paper evaluates role electric vehicles (EVs) in achieving Europe’s ambitious target carbon neutrality by 2050. limitations internal combustion engines (ICEs) along with recent advancements, such Euro 6 standards, are examined pseudo–lifecycle analysis (pseudo-LCA). While ICEs remain cost-effective initially, their higher long-term cost and environmental make them unsustainable. benefits EVs, including high energy efficiency, minimal maintenance, reduced GHG emissions, stated. However, challenges range limitations, charging infrastructure, battery production persist. Hybrid (HEVs) highlighted transitional technologies, offering improved thermal efficiency enhancing air quality both urban rural areas. extends to use alternative fuels, bioethanol, biodiesel, hydrogen. These provide interim solutions but face scalability sustainability issues. Policy interventions, subsidies, tax incentives, investments renewable energy, crucial factors EV adoption. As EVs pivotal decarbonization, integrating addressing systemic essential sustainable transition.

Language: Английский

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Artificial Neural Network Modeling to Predict Thermal and Electrical Performances of Batteries with Direct Oil Cooling

Batteries, Journal Year: 2023, Volume and Issue: 9(11), P. 559 - 559

Published: Nov. 16, 2023

The limitations of existing commercial indirect liquid cooling have drawn attention to direct for battery thermal management in next-generation electric vehicles. To commercialize management, an extensive database reflecting performance and operating parameters needs be established. development prediction models could generate this reference design effective system with the least experimental effort. In present work, artificial neural network (ANN) modeling is demonstrated predict electrical performances batteries oil based on various conditions. experiments are conducted 18650 module learning data models. developed considering temperature, flow rate, discharge rate as input conditions maximum temperature difference, heat transfer coefficient, voltage output performances. proposed comprise two algorithms, Levenberg–Marquardt (LM) training variant Tangential-Sigmoidal (Tan-Sig) function that Logarithmic-Sigmoidal (Log-Sig) function. ANN_LM-Tan algorithm a structure 3-10-10-4 shows accurate under all compared ANN_LM-Log same structure. errors algorithms restricted within ±0.97% ±4.81%, respectively, parameters. suggested accurately determination coefficient (R2) variance (COV) 0.99 1.65, respectively.

Language: Английский

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