Applied Sciences, Год журнала: 2025, Номер 15(2), С. 569 - 569
Опубликована: Янв. 9, 2025
This study proposes an innovative system for recovering waste heat from exhaust air after a regenerative thermal oxidiser process, integrating Carnot battery and photovoltaic (PV) modules. The incorporates organic Rankine cycle (ORC) with recuperator, energy storage (TES), pump. Waste is initially captured in TES, additional extracted by pump to increase the temperature of secondary fluid, effectively charging TES both direct indirect sources. stored enables electricity generation via ORC. result this shows COP between 2.55 2.87, efficiency ORC ranging 0.125 0.155, power-to-power 0.36 0.40. Moreover, PV generates 1.35 GWh annually, primarily powering proposed total annual net 4.30 GWh. Economic evaluation across four configurations demonstrates favourable outcomes, return on investment 25% 160%. economic examined without recuperation process Results indicate that incorporating recuperator significantly increases power output, offering highly viable sustainable solution.
Язык: Английский
Процитировано
1
World Electric Vehicle Journal, Год журнала: 2025, Номер 16(1), С. 45 - 45
Опубликована: Янв. 17, 2025
This study explores electric vehicle (EV) adoption in Jordan, focusing on key transitional factors. It examines government policies, market dynamics, technological advancements, and infrastructure development through semi-structured interviews with stakeholders, including officials, industry experts, consumers. The provides insights into the economic prospects, requirements, regulatory measures necessary for widespread EV adoption. Government incentives, such as tax exemptions reduced registration fees, are crucial, but challenges like insufficient charging infrastructure, high initial costs, limited public awareness persist. Collaborative efforts between private sectors essential to develop resilient enhance consumer education, foster innovation. findings underscore importance of incentives coordinated raise awareness. Future research should focus quantitative methods validate these explore additional strategies overcome identified barriers.
Язык: Английский
Процитировано
1
Journal of Hazardous Materials Advances, Год журнала: 2025, Номер unknown, С. 100619 - 100619
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Euro-Mediterranean Journal for Environmental Integration, Год журнала: 2025, Номер unknown
Опубликована: Фев. 20, 2025
Язык: Английский
Процитировано
0
Health & Place, Год журнала: 2025, Номер 91, С. 103406 - 103406
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Опубликована: Янв. 11, 2025
The increasing adoption of electric vehicles (EVs) underscores the critical need for an efficient and sustainable charging infrastructure. This study addresses problem optimal vehicle station (EVCS) location selection using a multi-criteria decision-making (MCDM) approach. Specifically, Entropy, CoCoSo (Combined Compromise Solution), EDAS (Evaluation Based on Distance from Average Solution) methods were applied to evaluate 25 potential locations in Altıeylül. Entropy method was first employed objectively determine weight each criterion based their variability, ensuring that more significant factors had greater impact final decision. Environmental, technical, social criteria incorporated ensure selected sites would maximize accessibility, reduce air pollution, enhance user convenience. results revealed Location_17 emerged as top choice EVCS placement both rankings. While provided consistent high-performing locations, discrepancies observed certain low-performing sites, highlighting value combining multiple MCDM methods. provides informed framework selecting offering balanced evaluation criteria, contributes growing body research infrastructure planning EVs.
Язык: Английский
Процитировано
0
Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 211, С. 115349 - 115349
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
0
Vehicles, Год журнала: 2025, Номер 7(1), С. 23 - 23
Опубликована: Фев. 25, 2025
This paper introduces a novel strategy for an intelligent plug-in hybrid electric vehicle (PHEV) energy optimization based on machine learning (ML) prediction of the upcoming journey, without recourse to navigation or other external data, which underpins many existing approaches. study, extended real-world data (journeys history from 10 vehicles over 12 months), shows that trip patterns can be learnt quite effectively using classic ML classification algorithms. In particular, RusBoosted ensemble classifier performed consistently well across heterogeneous dataset (volume training and variable imbalance in datasets, reflecting natural variability usage profiles), providing sufficiently accurate predictions proposed EMS strategy. Performance evaluation experiments were carried out model-in-the-loop (MIL) simulation set-up developed this research. The results demonstrated has potential deliver significant reductions engine running time (up 76% routine short journeys), with associated benefits CO2 consumption tailpipe emissions, as enhanced reliability. broader importance study is it demonstrates great predictive insights computation-efficient robust learn optimize control strategies reliance uncertain inputs.
Язык: Английский
Процитировано
0
The Archives of Automotive Engineering/ Archiwum Motoryzacji, Год журнала: 2025, Номер 107(1), С. 102 - 126
Опубликована: Март 26, 2025
The adoption of electric vehicles (EVs) has emerged as a significant measure to reduce greenhouse gas emissions and promote cleaner transportation towards the goal decreasing temperature increase over 0.5°C by 2050. evolution battery technology allows for massive exploitation EVs they require low maintenance have 200% higher efficiency in total than conventional vehicles. However, need rapid implementation charging stations poses unique challenges electrical distribution networks. This paper investigates influence vehicle (EV) on electricity utility grid, focusing their technological frameworks. capabilities lithium-ion technologies are examined, including high energy density reliability, while addressing concerns performance limitations due aging cause temperatures. work outlines current technologies, classifying them into AC DC wired systems, wireless methods, exchange systems. Rapid advancements reduced times 10–15 minutes 80% capacity using high-voltage Furthermore, integration Vehicle-to-Grid (V2G) where EV an separate storage system exchanges power with was found peak load 4% improve efficiency, lowering costs 40% scheduling 14%. V2G enables real-time bidirectional transfer, supporting grid stability sustainability. Challenges such communication data privacy, degradation increased cycles were discussed. study concludes that grids through systems presents promising approach enhance sustainability, although overcoming technical optimizing life crucial widespread implementation. findings emphasize pivotal role aggregators managing exchanges, predicting fluctuations, ensuring reliable supply.
Язык: Английский
Процитировано
0
Air, Год журнала: 2025, Номер 3(2), С. 10 - 10
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0