Developments in Hydrogen Fuel Cells DOI Creative Commons
A.G. Olabi, Enas Taha Sayed

Energies, Год журнала: 2023, Номер 16(5), С. 2431 - 2431

Опубликована: Март 3, 2023

The rapid growth in fossil fuels has resulted climate change that needs to be controlled the near future. Several methods have been proposed control change, including development of efficient energy conversion devices. Fuel cells are environmentally friendly devices can fuelled by green hydrogen, with only water as a by-product, or using different biofuels such biomass wastewater, urea biogas from municipal and agricultural wastes, syngas agriculture waste carbon. This editorial discusses fundamentals operation fuel cell, their application various sectors residential, transportation, power generation.

Язык: Английский

Thermal management systems based on heat pipes for batteries in EVs/HEVs DOI
Mohammad Ali Abdelkareem, Hussein M. Maghrabie, Ahmed G. Abo‐Khalil

и другие.

Journal of Energy Storage, Год журнала: 2022, Номер 51, С. 104384 - 104384

Опубликована: Март 21, 2022

Язык: Английский

Процитировано

69

Solar PV cleaning techniques contribute to Sustainable Development Goals (SDGs) using Multi-criteria decision-making (MCDM): Assessment and review DOI Creative Commons
Haya Aljaghoub,

Farah Abumadi,

Maryam Nooman AlMallahi

и другие.

International Journal of Thermofluids, Год журнала: 2022, Номер 16, С. 100233 - 100233

Опубликована: Окт. 18, 2022

The efficiency and power output of photovoltaic (PV) panels are vital to the solar PV plant. Apart from overheating, natural shading, some geographical locations more susceptible objectionable dust accumulation on surfaces panels. Consequently, specific cleaning techniques required mitigate accumulated restore plant's efficiency. most popular panel include natural, manual, automatic, electrostatic cleaning. Each technique is associated with both positive negative impacts. Hence, this paper proposes a methodology that underlines impact each relates it Sustainable Development Goals (SDGs) their targets. results exhibit goals related energy (SDG 7, 9,11, 12, & 13) water 6) were affected SDGs by choice technology thus needed be carefully considered before deployment. This then employs multi-criteria decision-making method Technique for Order Preference Similarity Ideal Solution (TOPSIS), compare these find optimal concerning SDGs. prioritizes alternatives considering 18 criteria set relative significance TOPSIS showed manual outperformed other obtained highest ranking.

Язык: Английский

Процитировано

62

The Risks and Challenges of Electric Vehicle Integration into Smart Cities DOI Creative Commons
O. Apata, Pitshou N. Bokoro, Gulshan Sharma

и другие.

Energies, Год журнала: 2023, Номер 16(14), С. 5274 - 5274

Опубликована: Июль 10, 2023

The integration of electric vehicles (EVs) into smart cities presents a promising opportunity for reducing greenhouse gas emissions and enhancing urban sustainability. However, there are significant risks challenges associated with the EVs cities, which must be carefully considered. Though various reviews available on integrating majority these focused technical challenges, thereby ignoring other important that may arise from such integration. This paper therefore provides comprehensive overview in one research paper. different have been identified categorized four groups, namely: technical, economic, social, environmental, while also discussing EV cities. concludes by highlighting need holistic approach to considers risks. It identifies possible future trends outlooks address promote successful Overall, this valuable insights policymakers, city planners, researchers working towards sustainable transportation systems.

Язык: Английский

Процитировано

44

Emerging and Recycling of Li-Ion Batteries to Aid in Energy Storage, A Review DOI Creative Commons
Shammya Afroze, Md Sumon Reza, К. А. Кутербеков

и другие.

Recycling, Год журнала: 2023, Номер 8(3), С. 48 - 48

Опубликована: Май 8, 2023

The global population has increased over time, therefore the need for sufficient energy risen. However, many countries depend on nonrenewable resources daily usage. Nonrenewable take years to produce and sources are limited generations come. Apart from that, storing distribution production caused environmental degradation years. Hence, researchers have been actively participating in development of storage devices renewable using batteries. For this purpose, lithium-ion battery is one best known due its properties such as high power density comparison with other conventional In addition, fabrication Li-ion batteries, there different types cell designs including cylindrical, prismatic, pouch cells. technology, widely used cathode anode materials, benefits drawbacks each relation most appropriate application were all thoroughly studied work. electrochemical processes that underlie technologies presented detail substantiated by current safety concerns regarding Furthermore, review collected recent LIB recycling covered three main technologies. techniques—pyrometallurgical, hydrometallurgical, direct recycling—have subject intense research development. recovery valuable metals primary goal processes. growth number LIBs creates a business opportunity recover recycle parts consumption rises dramatically.

Язык: Английский

Процитировано

30

Energy Management in Electric Vehicles Using Improved Swarm Optimized Deep Reinforcement Learning Algorithm DOI

M. A. Jawale,

A. B. Pawar, Sachin K. Korde

и другие.

Journal of Nano- and Electronic Physics, Год журнала: 2023, Номер 15(3), С. 03004 - 6

Опубликована: Янв. 1, 2023

The internal combustion engine-based transportation system is causing severe problems such as rising levels of pollution, petroleum prices, and the depletion natural resources.To divide power between engine battery in an effective manner, a sophisticated energy management required to be put into place.A split strategy that efficient may result higher fuel economy performance Electric Vehicles (EVs).In this paper, we propose reinforcement learning method using Deep Q (DQL), which novel Improved Swarm optimized Reinforcement Learning Algorithm (IS-DRLA) designed for control.To perform update on weights neural network, computes use modified version swarm optimization technique.After that, suggested IS-DRLA goes through training verification high-precision realistic driving conditions, after it contrasted with standard approach.The indices State Charge (SOC) consumption loss function are analyzed efficiency proposed (IS-DRLA).According findings, newly capable achieving pace lower overall than conventional policy, its comes very close matching worldwide optimal.In addition this, adaptability demonstrated by utilizing different schedule.

Язык: Английский

Процитировано

27

Feasibility analysis of solar PV system in presence of EV charging with transactive energy management for a community-based residential system DOI

J. Nishanthy,

S. Charles Raja, J. Jeslin Drusila Nesamalar

и другие.

Energy Conversion and Management, Год журнала: 2023, Номер 288, С. 117125 - 117125

Опубликована: Май 9, 2023

Язык: Английский

Процитировано

25

A review of battery state of charge estimation and management systems: Models and future prospective DOI
Hossam Hussein, Ahmed Aghmadi, Mahmoud S. Abdelrahman

и другие.

Wiley Interdisciplinary Reviews Energy and Environment, Год журнала: 2024, Номер 13(1)

Опубликована: Янв. 1, 2024

Abstract Batteries are considered critical elements in most applications nowadays due to their power and energy density features. However, uncontrolled charging discharging will negatively affect functions might result a catastrophic failure of applications. Hence, battery management system (BMS) is mandated for proper operation. One the any BMS state charge (SoC) estimation process, which highly determines needed action maintain battery's health efficiency. Several methods were used estimate Lithium‐ion batteries (LIBs) SoC, depending on LIBs model or other suitable technique. This article provides review existing SoC approaches main LIB models with pros cons, possibility integrate each other's precise results, applicability these techniques electric vehicles utility commonly standards codes sectors. Moreover, this study also explore future framework integrating digital twins (DTs) BMSs improved advanced management. Based comprehensive review, it can be concluded that merging model‐based data‐driven promising development determine dynamic patterns inside efficiently achieve results while reducing complexity models. integration align twin technology provide complete accurate supervision BMSs. categorized under: Emerging Technologies > Energy Storage Digitalization Power Systems Distributed Generation

Язык: Английский

Процитировано

17

Application of Additive Manufacturing in the Automobile Industry: A Mini Review DOI Open Access
Jian Yang, Bo Li, Jian Liu

и другие.

Processes, Год журнала: 2024, Номер 12(6), С. 1101 - 1101

Опубликована: Май 27, 2024

The automobile industry is recognized as one of the most influential sectors shaping global economies, societies, and individual lifestyles. Therefore, fierce competition among different companies continuously undergoing, special attention focused on innovations to improve competitiveness. In past several years, additive manufacturing (AM) has emerged an innovative technology in applications with significant advantages over traditional techniques. As a result, increasing efforts have been paid combining AM development industry. Currently, many players are optimizing their industrial layout by incorporating techniques, meanwhile, lot research progress achieved order meet market demand. This article aims at presenting timely review conclude recent advances application techniques industry, focusing available printable materials, applications, based which disadvantages each technique material system discussed reveal current situation. gaps challenges also outlined indicate future opportunities. Hopefully, this work can be useful related researchers well game field.

Язык: Английский

Процитировано

14

Porous media and foam application in battery thermal management systems: A comprehensive review focused on its impact, numerical modeling, and experimental preparation. DOI Creative Commons

Alireza Keyhani-Asl,

Noel Perera,

Jens Lahr

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 93, С. 112306 - 112306

Опубликована: Май 31, 2024

The optimization of performance, safety, and longevity in electric hybrid vehicles (EV/HEV) necessitates the implementation efficient battery thermal management systems. In order to accomplish this objective, it is necessary implement practical Battery Thermal Management Systems (BTMS) regulate fluctuations temperature maintain a desired range distribution. Porous media foams have been identified as viable approaches tackle aforementioned issues systems effectively. primary objective review paper provide an analysis developments, trends, limitations pertaining utilization porous medium foam BTMS. underlying mechanisms benefits associated with investigated particular focus on their influence improving optimizing heat transfer within analyzes variety structures, materials, manufacturing methods, numerical modeling. Among different properties media, porosity was found most impact BTMS performance lower leads better maximum (Tmax) difference (ΔTmax). Also, permeability needs be optimized keep balance between reduction Tmax any possible increase ΔTmax. commonly employed consist carbon metal-based foams, copper being particularly significant owing its superior conductivity. Considering dynamic nature generation lithium-ion batteries, Darcy-Brinkman-Forchheimer (DBF) Local non-equilibrium (LTNE) were accurate for simulations Furthermore, has underscored that further experimental investigations, well analyses, are crucial vehicle batteries maximizing potential foam. This concludes by proposing future research paths highlight unexplored areas research.

Язык: Английский

Процитировано

11

Assessing the effectiveness of financial incentives on electric vehicle adoption in Europe: Multi-period difference-in-difference approach DOI Creative Commons

Edlaine Correia Sinézio Martins,

Julien Lépine, Jacqueline Corbett

и другие.

Transportation Research Part A Policy and Practice, Год журнала: 2024, Номер 189, С. 104217 - 104217

Опубликована: Авг. 29, 2024

Electric vehicles (EVs) are considered a promising alternative to achieve cleaner transportation sector. In the last decade, European countries have implemented financial incentive policies boost EV adoption. This paper estimates impacts of these on adoption in Europe using data from 30 2012 2021 and multi-period difference-in-differences approach. Our results reveal that purchase associated with increased registrations battery electric plug-in hybrid vehicles, effect holds over time. However, magnitude duration effects more significant for vehicles. Ownership do not contribute either type. Further, suggest policy vary between different levels gross domestic product per capita renewable energy consumption. These literature evaluating adoption, enabling improved decision making by policymakers.

Язык: Английский

Процитировано

10