查看更多>>摘要：Transport electrification and renewable energy integration are essential for transitioning to a zero-carbon society.Electric vehicles (EVs) are seen as a solution to cut transport emissions, but the existing charging stationnetwork is insufficient, and the electricity is often largely supplied by fossil fuels. Therefore, a key question ishow to design optimally located charging stations supported by renewable energy. Geographical informationsystem (GIS) and multi-criteria decision-making (MCDM) have proven to be powerful methods for site selectionas they help manage geographical data, local characteristics and stakeholder preferences. These approaches havebeen successfully applied for solar or EV charging station site selection, but their use for solar-energy-assistedelectric vehicle charging stations (SE-EVCS) is limited. As SE-EVCSs are of quickly increasing importance, thisstudy developed a generic approach using GIS and MCDM to identify optimal locations for SE-EVCSs. A systematicliterature review was performed to identify the relevant site selection criteria and MCDMs used so far.The proposed approach considers the most relevant criteria and their application in practice, analysing differentuse cases for city centres and urban areas. These criteria consist of solar irradiance, accessibility (roads andamenities), land availability/type, existing charging network, population densities, economic KPIs and technicalenergy factors, but their importance depends on the local context. The findings are expected to help city planners,plot owners, private charging operators and energy companies to select optimal locations for SE-EVCSs, andhelp researchers and practitioners design methods and criteria for tools supporting these site selection processes.
Luca MalobertiRaphael ZacconeJacopo De GaetanoUgo Campora...
104194.1-104194.11页
查看更多>>摘要：Fossil fuels contribute to GHG emissions into the atmosphere. The need to solve this critical global problemhas driven the search for alternative energy options to pave the way towards a more sustainable future. Thispaper analyzes the environmental and economic performance of a small cruise ship operating in the NorthAtlantic Ocean. The paper compares natural gas-electric and hybrid propulsive configurations, considering LNGand E-LNG produced using renewable electricity. The carbon footprint analysis is based on equivalent ??_2emissions according to a Well-to-Wake approach and includes emissions of the on-shore power for batterycharging. A novel index for the energetic classification of ships is proposed, considering their equivalent ??_2emissions using a Well-to-Wake approach. The hybrid propulsive systems show a fair fuel-saving potential,ranging from 3.5% to 5.3%. The E-LNG-powered propulsion is three times more expensive than LNG, whileGHG emissions produced using E-LNG are 4.5 to 6 times lower. The battery pack is a major cost item in hybridsystems. Moreover, GHG evaluation through the novel index penalizes hybrid propulsion systems compared totraditional carbon dioxide emission assessment since the former includes ground connection used for batterycharging.
查看更多>>摘要：The reliability and stability of proton exchange membrane fuel cells (PEMFC) critically depend on the accurateair supply. Limitations in sensor technology make it challenging to directly measure the internal state of the airsupply system in an automotive environment, affecting the output performance of PEMFCs. To this end, thispaper proposes a state estimation strategy using the Kalman filter for real-time reconstruction of the oxygenexcess ratio (OER) in PEMFCs. A nonlinear dynamic system model of the air supply process is firstly establishedand parameterized using the trust region method based on experimental data. The influence of key system parameterson the dynamic response is analyzed to identify primary factors. Additionally, a nonlinear observerbased on the cubature Kalman filter (CKF) is designed, and an augmented state observer is proposed followingsensitivity analysis. To enhance robustness, real-time model mismatch judgment and adjustment is implementedusing normalized innovation squared (NIS) and interval type-2 fuzzy logic systems. Comparative analyses undervariable load and parameter mismatch scenarios show that the proposed strategy reduces the cumulative error ofreconstructed OER by 24.87 % compared to the standard CKF under large load variations and demonstratessuperior estimation accuracy and stability in various model uncertainties.
查看更多>>摘要：Transportation systems significantly impact the environment, necessitating urgent innovations to mitigate theiradverse impacts. This paper presents a comprehensive review of emerging technologies with the potential torevolutionize green mobility across all major sectors: road, rail, water, and air. Key advancements, includingelectric propulsion, autonomous vehicles, aerial transport (flying cars), and underground systems (hyperloops),are analyzed for their strength and weaknesses. Additionally, the social and environmental implications of thesefuture vehicles are examined. With a focus on sustainability and emissions reduction, this paper aligns withglobal efforts towards cleaner transportation and climate change mitigation. This approach goes beyond traditionalreviews by providing a holistic view of future sustainable transportation systems. By synthesizing currentadvancements and addressing key challenges, this study offers critical insights to inspire researchers, engineers,and policymakers to develop resilient, sustainable transportation systems for a cleaner and greener future.
Waqar Ali KhanAshkan PaksereshtCaslon ChuaAli Yavari...
104197.1-104197.18页
查看更多>>摘要：Transitioning to sustainable and resilient energy generation presents challenges in optimizing resource andstorage utilization, reducing operational costs, and addressing environmental impacts within renewable energypower plants. The shift away from fossil fuels in the energy sector requires innovative solutions to enhancesustainability and resilience. This study aims to explore the role of Digital Twin (DT) technology – a digitalreplica of a physical object or process with bidirectional communication – in promoting sustainability withinpower plants, an area that remains underexplored. Using a Sytematic Literature Review (SLR) of 61 peerreviewedpapers, this research examines six key categories of DT application: predictive analysis, performanceoptimization, risk assessment, model evaluation, process traceability, and human–machine interaction. Thefindings indicate that DT holds significant potential to improve power plant sustainability by enabling costreductions, optimizing energy usage, and minimizing environmental impact through waste reduction andcarbon emission management. This study underscores DT’s importance in supporting the energy sector’stransition towards sustainable practices and enhancing the resilience of renewable energy systems.
查看更多>>摘要：The production of lithium-ion batteries involves considerable consumption of rare earth elements and posesenvironmental risks. Consequently, technologies aimed at managing battery waste have become crucial from theperspectives of the circular economy (CE) and environmental sustainability (ES). Herein, we underscore theimportance of reuse and recycling technologies for electric vehicle batteries, which are crucial for material recoveryand reduction of environmental impact. Using bibliometric analysis, this study meticulously examinedand analyzed scholarly articles related to reuse and recycling technologies for spent batteries based on data fromthe Web of Science databases. We applied bibliometric analysis to a dataset of 137 research articles, selected viaan expert-developed, keyword-focused query and refined using the PRISMA methodology. Specifically, this studyfocuses on assessing the relationship of these clean technologies with CE and ES and exploring their interconnectionsand the importance of technological development in the field. Relating the technological findingsto economic efficiency and eco-friendliness provides a clear understanding of potential directions for reuse andrecycling techniques. Furthermore, this study suggests effective collaborative strategies in this field. Ourcomprehensive approach not only deepens the understanding of the subject but will also guide future researchand development efforts in battery lifecycle management.
查看更多>>摘要：To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation insome electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a poweradaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzerefficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipmentefficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations,combined with fuzzy PID control for real-time power optimization. A case study based on actual data froma hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers,the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared totraditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively.Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers,extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficientoperation of hydrogen production systems under complex conditions.
查看更多>>摘要：Drought and salt stress are important limiting factors affecting the growth of crop seedlings. In this study, the oilcrop C. sativa was selected as the experimental material. This study investigated the effects of BCAAs (branchedchain amino acids, including Leu, Ile, and Val) on plant growth, lipid content, antioxidant enzymes, intracellularsubstances, and photosynthetic activity of C. sativa. BCAAs at 100 μM concentration, were foliar sprayed separately,along with an equal amount of water, under normal, PEG (0.20 g mL~(-1)), and NaCl (150 mM) conditions.The results illustrated that both PEG and NaCl markedly reduced the total lipid and soluble protein contents,inhibiting the growth of C. sativa seedlings significantly, including a decrease in height, biomass, and chlorophylls.BCAAs supplementation effectively mitigated the detrimental effects of drought and salt. Foliar sprayingBCAAs mainly worked by increasing soluble sugars and proteins, enhancing enzymatic activities of antioxidantenzymes, improving photosynthesis parameters (Fv/Fm and Y(Ⅱ)), thereby promoted lipid accumulation andseedlings growth of C. sativa, with Val showing the best performance. The current study would provide thetheoretical basis and technical support for enhancing lipid production and promoting seedling growth of C. sativato abiotic stress by applying exogenous BCAAs.
查看更多>>摘要：This critical review highlights the potential of utilizing spent wastewater treatment substrates for biohydrogen(bioH_2) production, offering an eco-friendly and cost-effective solution aligned with Sustainable DevelopmentGoals (SDG 7) by promoting renewable energy production. Spent wastewater substrates are excellent feedstockdue to their high organic and nutrient content, facilitating efficient waste-to-energy conversion. A hypotheticaltechno-economic analysis demonstrates financial viability, with key metrics such as a favorable return on investmentand promising net present value, driven by low operational costs and substantial revenue from bioH_2sales. Additionally, reusing the bioH_2-generated digestate as a biofertilizer and the treated wastewater foragricultural or industrial applications enhances sustainability and economic benefits. Integrating advancedpretreatment technologies, microbial consortia and carbon credit incentives can further enhance process efficiencyand economic sustainability. Addressing challenges like low bioH_2 yield, production of inhibitors, andscalability barriers requires targeted research, pilot scale validation and supportive policies. Scaling up pilotprojects and strengthening public–private partnerships are crucial for commercialization, paving the way forsustainable bioH_2 production from wastewater and advancing global renewable energy goals.
查看更多>>摘要：Rail transport plays a major role in the development of a nation’s economy. Due to the high maintenance requirementsof train tracks, traditional monitoring sensors need to be connected to the power grid. The rail surfaceenvironment is complex, and there is a lack of power supply equipment. Therefore, a track vibration energyharvester-based self-powered triboelectric nanosensor (TVH-TENS) is designed in this paper. The TVH-TENSsystem has five modules: motion transformation, rectification correction, dual channel power generation, energystorage and deep learning. The motion transformation module uses a bevel gear set with one-way bearingsto transform the track’s two-way linear vibration into one-way rotational motion, addressing both circuitrectification and motion transformation issues simultaneously. The voltage signal output of the triboelectricgenerator is used for deep learning to classify variables and live monitoring. Experimental results reveal that theTVH-TENS system achieves a mean power output of 6.69 W with sinusoidal input of 6 mm amplitude, 6 Hzfrequency and 3 Ω external load in MTS bench experiments. The deep learning accuracy of each variable exceeds98.3 %. The high-performance TVH-TENS can power wireless sensor networks by harvesting vibration energywhile also acting as a monitoring sensor. This system provides a reference method framework for intelligenttrack.
NETL
NSTL
Elsevier