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Advancing green hydrogen purification: Multiscale evaluation of membrane processes using novel software, pySembrane 推进绿色氢气纯化:使用新型软件 pySembrane 对膜工艺进行多尺度评估
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-02 DOI: 10.1016/j.rser.2024.114998
Nahyeon An , Boram Gu , Junghwan Kim , Seongbin Ga
Membrane-based separation processes are increasingly recognized as effective purification systems for green hydrogen, produced through ammonia cracking technology. These processes are valued for their energy efficiency, operational simplicity, and selective capabilities, and they benefit significantly from simulation-based approaches. Such methodologies expedite the exploration and evaluation of various membrane materials and operational strategies, which are crucial for the rapid development and optimization of membrane systems. However, the application of these simulations is often limited due to restricted access to process simulations and compatibility issues with existing commercial software tools. Additionally, the absence of software capable of assessing material properties and calculating the economic impacts at different scales limits the integration of studies from the molecular to the plant level. To address these challenges, this study introduces pySembrane, an open-source Python-based simulation package designed to lower the barriers to entry for the development and analysis of membrane systems. PySembrane provides users with advanced tools for the analysis of membrane systems, including specialized functions for evaluating material properties and process economics. This study presents case studies that illustrate the use of pySembrane in the screening of membrane materials and the optimization of membrane-based separation processes for the purification of green hydrogen. It also presents a case study on the integration of the membrane-based separation process with other unit operations, such as compressors and catalytic reactors. These case studies demonstrate the effectiveness of pySembrane in advancing membrane materials and operational strategies for green hydrogen separation, highlighting its potential to enhance process efficiency and sustainability.
人们日益认识到,膜分离工艺是通过氨裂解技术生产的绿色氢气的有效净化系统。这些工艺因其能源效率高、操作简单和选择能力强而备受推崇,并从基于模拟的方法中获益匪浅。这些方法加快了对各种膜材料和操作策略的探索和评估,对于膜系统的快速开发和优化至关重要。然而,这些模拟的应用往往受到限制,原因是获得过程模拟的途径有限,以及与现有商业软件工具的兼容性问题。此外,由于缺乏能够评估材料特性和计算不同尺度经济影响的软件,限制了从分子到工厂层面的研究整合。为了应对这些挑战,本研究介绍了 pySembrane,这是一个基于 Python 的开源模拟软件包,旨在降低开发和分析膜系统的门槛。PySembrane 为用户提供了先进的膜系统分析工具,包括评估材料属性和工艺经济性的专门功能。本研究介绍了一些案例研究,说明了 pySembrane 在筛选膜材料和优化基于膜的分离过程以提纯绿色氢气方面的应用。它还介绍了膜分离过程与其他单元操作(如压缩机和催化反应器)整合的案例研究。这些案例研究证明了 pySembrane 在推进绿色氢气分离的膜材料和操作策略方面的有效性,突出了其在提高过程效率和可持续性方面的潜力。
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引用次数: 0
A review on photocatalytic seawater splitting with efficient and selective catalysts for hydrogen evolution reaction 利用高效和选择性催化剂进行光催化海水分离以促进氢气进化反应综述
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-01 DOI: 10.1016/j.rser.2024.115074
Aayush Gupta , Blaz Likozar , Sachin Jaidka
The rising global demand for clean and renewable energy has spurred interest in innovative technologies capable of addressing both energy production and environmental challenges. Among these, photocatalytic seawater splitting has emerged as a highly promising approach for generating hydrogen, a clean fuel, by harnessing sunlight. Unlike traditional water-splitting techniques that depend on freshwater resources, seawater splitting offers a sustainable alternative by utilizing the vast and readily available oceanic reserves. This process leverages advanced photocatalytic materials, such as metal oxides (e.g., TiO₂, ZnO), perovskites, and 2D materials like graphitic carbon nitride (g-C₃N₄), to enhance the efficiency of the hydrogen evolution reaction (HER). This review provides a comprehensive analysis of the latest advancements in photocatalytic seawater splitting, focusing on catalyst design, performance optimization, and overcoming key challenges such as corrosion, photocatalyst stability, and the detrimental effects of seawater components, including chloride ions and metal cations, on hydrogen production. Special attention is given to the role of novel materials, such as nanosheet arrays, metal-organic frameworks (MOFs), and defect-engineered catalysts, in improving charge separation, reducing recombination rates, and enhancing light absorption under solar irradiation. Furthermore, the review addresses the impact of seawater composition, including the presence of ions such as Na⁺, Mg2⁺, and Ca2⁺, on the photocatalytic process, and discusses strategies to mitigate undesirable side reactions, such as chlorine evolution. The commercial potential of photocatalytic seawater splitting is also considered, highlighting its scalability and integration into renewable energy infrastructures to produce hydrogen as a viable alternative to fossil fuels.
全球对清洁和可再生能源的需求不断增长,激发了人们对既能解决能源生产问题又能应对环境挑战的创新技术的兴趣。其中,光催化海水裂解技术已成为利用太阳光生成氢这种清洁燃料的一种极具前景的方法。与依赖淡水资源的传统水分离技术不同,海水分离技术利用了大量随时可用的海洋储量,提供了一种可持续的替代方法。该工艺利用先进的光催化材料,如金属氧化物(如 TiO₂、ZnO)、过氧化物和二维材料(如氮化石墨碳(g-C₃N₄)),来提高氢进化反应(HER)的效率。本综述全面分析了光催化海水分离的最新进展,重点关注催化剂设计、性能优化以及克服腐蚀、光催化剂稳定性等关键挑战,以及海水成分(包括氯离子和金属阳离子)对制氢的不利影响。报告特别关注了纳米片阵列、金属有机框架 (MOF) 和缺陷工程催化剂等新型材料在改善电荷分离、降低重组率和提高太阳照射下的光吸收方面的作用。此外,综述还探讨了海水成分(包括 Na⁺、Mg2⁺ 和 Ca2⁺等离子的存在)对光催化过程的影响,并讨论了减轻氯进化等不良副反应的策略。此外,还考虑了光催化海水裂解的商业潜力,强调了其可扩展性以及与可再生能源基础设施的整合,以生产氢气作为化石燃料的可行替代品。
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引用次数: 0
The influence of cloud cover on the reliability of satellite-based solar resource data 云层对卫星太阳资源数据可靠性的影响
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-11-01 DOI: 10.1016/j.rser.2024.115070
Yu Xie , Manajit Sengupta , Jaemo Yang , Aron Habte , Grant Buster , Brandon Benton , Michael Foster , Andrew Heidinger , Yangang Liu
Satellite-based solar resource data are often developed and validated by using binary cloudiness categories: clear sky or overcast cloudy sky. To investigate the reliability of solar resource data in partially cloudy conditions, we estimate cloud fraction using two distinct algorithms: a physical retrieval model using surface observed global horizontal irradiance (GHI) and direct normal irradiance (DNI) and a temporal average of cloud mask data estimated by the observed DNI. Our analysis reveals a significant presence of scattered clouds, broken clouds, and mismatches between satellite- and surface-based cloud data at 17 surface sites across the contiguous United States, though confidently clear and cloudy conditions collectively account for more than 70 % of the data. Solar radiation is computed using the National Solar Radiation Database (NSRDB) algorithm and validated using surface observations. Our findings suggest that, in the presence of scattered clouds, NSRDB data for clear-sky conditions can be subject to significant overestimation. In cloudy-sky conditions classified by satellite data, DNI computed by the Fast All-sky Radiation Model for Solar applications with DNI (FARMS-DNI) can be underestimated when limited clouds are detected by surface observations. The bias observed in several cloudiness categories indicates that the NSRDB is exceptionally accurate in confidently clear conditions. However, clear-sky conditions with scattered clouds and mismatched cloud data contribute significantly to the overall uncertainties in the NSRDB. Therefore, future improvements in solar resource data should involve development and implementation of satellite-derived cloud fraction and should consider a novel radiative transfer model accounting for amplified cloud reflection. The evaluation within cloudiness categories also provides a physical rationale for the superior performance of FARMS-DNI compared to the Direct Insolation Simulation Code (DISC) in both cloudy-sky and all-sky conditions.
基于卫星的太阳资源数据通常采用二元云度类别进行开发和验证:晴空或阴云密布的天空。为了研究部分多云条件下太阳能资源数据的可靠性,我们使用两种不同的算法估算云量:一种是使用地表观测到的全球水平辐照度(GHI)和直接法线辐照度(DNI)的物理检索模型,另一种是根据观测到的 DNI 估算的云掩膜数据的时间平均值。我们的分析表明,在美国毗连地区的 17 个地表站点,存在大量散云、碎裂云以及卫星和地表云数据不匹配的情况,但有把握的晴朗和多云条件合计占数据的 70% 以上。太阳辐射是通过国家太阳辐射数据库(NSRDB)算法计算得出的,并通过地表观测数据进行了验证。我们的研究结果表明,在存在散射云的情况下,晴空条件下的国家太阳辐射数据库数据可能会被严重高估。在由卫星数据分类的多云天气条件下,当地表观测探测到有限的云层时,由快速全天空辐射模型计算的DNI(FARMS-DNI)会被低估。在几个云量类别中观察到的偏差表明,在有把握的晴朗条件下,NSRDB 非常准确。然而,晴空条件下的散乱云层和不匹配的云层数据极大地增加了 NSRDB 的整体不确定性。因此,未来太阳资源数据的改进应包括开发和实施源自卫星的云量分数,并应考虑采用一种新的辐射传输模型来计算放大的云反射。云度类别内的评估也为 FARMS-DNI 在多云天空和全天空条件下的性能优于直接日照模拟代码(DISC)提供了物理依据。
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引用次数: 0
Harvesting the sun twice: Energy, food and water benefits from agrivoltaics in East Africa 二次收获阳光:东非农业光伏发电带来的能源、粮食和水效益
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115066
R.J. Randle-Boggis , G.A. Barron-Gafford , A.A. Kimaro , C. Lamanna , C. Macharia , J. Maro , A. Mbele , S.E. Hartley
Food, energy and water insecurity are concomitant challenges facing many communities in East Africa. Agrivoltaic systems – agriculture integrated with photovoltaic panels – address all three challenges, providing low carbon electricity, food production and water conservation on the same land area. Agrivoltaics have proven benefits for the food-energy-water nexus in the USA, Europe and Asia, but research is lacking in sub-Saharan Africa, where energy access remains low, and climate change and water scarcity threaten food systems. This study presents evidence for concomitant electricity generation, food production and water conservation from agrivoltaic systems in Tanzania and Kenya, demonstrating the viability of these systems for both grid-tied agribusinesses and rural, off-grid communities. Performance of some crops improved under agrivoltaics, generating higher incomes for farmers and agribusinesses while reducing energy bills and/or enhancing energy supply. Crop survivability during a warm period was greater under the agrivoltaic system, indicating potential for climate change resilience. Panel shading reduced irrigation demand, thus some crops achieved greater yields while needing less water input. Rainwater harvesting from panel runoff further reduced irrigation needs. Combining energy infrastructure with agriculture enhanced land productivity for all crops at both sites. Agrivoltaics, whether grid-tied or off-grid, could address multiple Sustainable Development Goals in East Africa simultaneously by contributing to energy security, climate change-resilient food production, and water conservation in the region.
粮食、能源和水资源不安全是东非许多社区同时面临的挑战。农业光伏系统--农业与光伏板相结合--可以解决所有这三个挑战,在同一土地上提供低碳电力、粮食生产和水资源保护。在美国、欧洲和亚洲,农业光伏技术已被证明可为粮食-能源-水之间的关系带来益处,但在撒哈拉以南非洲地区却缺乏研究,那里的能源普及率仍然很低,气候变化和水资源短缺威胁着粮食系统。本研究提供了坦桑尼亚和肯尼亚的农业光伏系统同时实现发电、粮食生产和水资源保护的证据,证明了这些系统对并网农业企业和农村离网社区的可行性。在光伏农业系统的作用下,一些作物的长势得到改善,为农民和农业企业创造了更高的收入,同时降低了能源费用和/或增加了能源供应。在农业光伏系统下,农作物在温暖时期的存活率更高,这表明农业光伏系统具有抵御气候变化的潜力。面板遮阳减少了灌溉需求,因此一些作物在获得更高产的同时,需要的水量也更少。从面板径流中收集的雨水进一步减少了灌溉需求。能源基础设施与农业的结合提高了两个地点所有作物的土地生产力。无论是并网还是离网,农业光伏发电都可以同时实现东非的多个可持续发展目标,为该地区的能源安全、适应气候变化的粮食生产和水资源保护做出贡献。
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引用次数: 0
A review on applications of optical visualization technologies for water management in proton exchange membrane fuel cells 质子交换膜燃料电池中水管理的光学可视化技术应用综述
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115030
Chihua Lu , Chenyu Li , Zhien Liu , Yongchao Li , Hui Zhou , Hao Zheng
Effective water management is crucial for performing proton exchange membrane fuel cells. The liquid water can be directly observed using an Optically visualized proton exchange membrane fuel cell system that employs optical visualization technologies, which brings great convenience for water management. It is challenging to comprehensively understand and summarize the applications of these technologies. Through insightful analyses of relevant research results, this study provides the first comprehensive and categorized review of optical visualization technologies and their applications in water management. First, the study reviews optical visualization systems, focusing on their composition and differences between in-situ and ex-situ systems, the effects of transparent materials, imaging device selection, and image processing methods. These are key points for optical visualization systems. This can save a lot of time and economic costs in the design process. The review then categorizes the applications of optical visualization technologies in water management research, covering two-phase flow in porous regions and flow fields. This categorization helps to clearly understand the current state of research in different fields and the characteristics of the optical visualization systems used. Finally, a critical assessment of the problems and potential applications of optical visualization systems is presented. The purpose of this review is to provide relevant studies, practitioners and policy makers with a foundation and reference on optical visualization systems and the application of optical visualization techniques in water management research.
有效的水管理对于质子交换膜燃料电池的运行至关重要。采用光学可视化技术的光学可视化质子交换膜燃料电池系统可以直接观察到液态水,这为水管理带来了极大的便利。全面了解和总结这些技术的应用具有挑战性。本研究通过对相关研究成果的深入分析,首次对光学可视化技术及其在水资源管理中的应用进行了全面的分类综述。首先,该研究回顾了光学可视化系统,重点介绍了其组成、原位系统与非原位系统的区别、透明材料的影响、成像设备的选择以及图像处理方法。这些都是光学可视化系统的关键点。这可以在设计过程中节省大量时间和经济成本。随后,综述对光学可视化技术在水资源管理研究中的应用进行了分类,涵盖多孔区域和流场中的两相流动。这种分类有助于清楚地了解不同领域的研究现状以及所使用的光学可视化系统的特点。最后,对光学可视化系统的问题和潜在应用进行了批判性评估。本综述旨在为相关研究、从业人员和决策者提供光学可视化系统和光学可视化技术在水资源管理研究中应用的基础和参考。
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引用次数: 0
Public acceptance of green hydrogen production in Germany 德国公众对绿色制氢的接受程度
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115057
Johannes Buchner, Klaus Menrad, Thomas Decker
To achieve greenhouse gas neutrality by 2045, Germany must reduce its CO2 emissions, and German policies aim to ramp up domestic green hydrogen production. So far, green hydrogen production in Germany is still in its early stages, with few existing green hydrogen plants. Amongst other factors, public acceptance is crucial for successfully expanding green hydrogen production. However, few studies have investigated the acceptance of green hydrogen plants or production. Thus, this study aims to identify key factors influencing the acceptance of green hydrogen plants in Germany, focusing on the influence of participation in green hydrogen projects. A nationwide online survey (n = 1203) collected data from 1203 respondents living in regions with existing or planned green hydrogen plants in Germany. A multiple linear regression model identified eight key factors that influence the acceptance, including trust in plant safety, trust in project managers, information, risk/benefit perception, experience with green hydrogen, and gender, all having a significant positive impact on the acceptance of green hydrogen plants in Germany. Conversely, participation in the form of consultation and environmental self-identity negatively influence the acceptance of green hydrogen plants in Germany. The results support political decision-makers and stakeholders in realising future green hydrogen projects with high societal acceptance and address potential concerns, thus facilitating the transition towards a more sustainable energy future in Germany and elsewhere.
为了在 2045 年之前实现温室气体中和,德国必须减少二氧化碳排放量,而德国的政策目标是加强国内绿色氢气的生产。到目前为止,德国的绿色制氢仍处于早期阶段,现有的绿色制氢工厂寥寥无几。除其他因素外,公众的接受度对于成功扩大绿色制氢至关重要。然而,很少有研究对绿色制氢工厂或制氢的接受度进行调查。因此,本研究旨在确定影响德国绿色制氢工厂接受度的关键因素,重点关注参与绿色制氢项目的影响。一项全国范围的在线调查(n = 1203)收集了居住在德国现有或计划建设绿色制氢工厂地区的 1203 名受访者的数据。多元线性回归模型确定了影响接受度的八个关键因素,包括对工厂安全的信任、对项目经理的信任、信息、风险/收益认知、绿色制氢经验和性别,这些因素都对德国绿色制氢工厂的接受度有显著的积极影响。相反,咨询形式的参与和环境自我认同对德国绿色制氢工厂的接受度有负面影响。研究结果有助于政治决策者和利益相关者实现未来的绿色氢能项目,使其获得较高的社会认可度,并解决潜在的问题,从而促进德国和其他地区向更可持续的能源未来过渡。
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引用次数: 0
Data analytics driving net zero tracker for renewable energy 数据分析推动可再生能源的净零跟踪
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115061
Bankole I. Oladapo , Mattew A. Olawumi , Temitope Olumide Olugbade , Sikiru O. Ismail
This research aims to assess the impact of renewable energy policies, investments, and emissions reductions toward achieving net-zero targets by 2050. We analysed key metrics using the Net Zero Tracker (NZT), including renewable energy capacity, policy strength, financial investment, and carbon emissions across multiple regions and industries. Our methodology involved data collection from 2020 to 2050, utilising predictive modeling to project trends in renewable energy adoption and emissions reduction. Key findings show that renewable energy capacity is expected to surpass 1000 GW by 2050, with an exponential increase around 2045. Policy Strength Index (PSI) will grow by 20 %, from 50 in 2020 to 60 in 2050, while investments in renewable energy will rise from $10 billion to $25 billion over the same period. Emissions are projected to steadily decrease to zero by 2050, which aligns with net-zero goals. The margin of error in the projections is ±5 %, considering potential policy implementation and technology development variations. These results underscore the critical role of enhanced policies, sustained investments, and international cooperation in accelerating the global transition to renewable energy. The research offers valuable insights for policymakers and stakeholders to guide future strategies for achieving a sustainable energy future.
本研究旨在评估可再生能源政策、投资和减排对到 2050 年实现净零排放目标的影响。我们使用净零跟踪器(NZT)分析了关键指标,包括多个地区和行业的可再生能源容量、政策力度、金融投资和碳排放量。我们的方法包括收集 2020 年至 2050 年的数据,利用预测模型预测可再生能源的采用和减排趋势。主要研究结果表明,预计到 2050 年,可再生能源发电能力将超过 1000 千兆瓦,并在 2045 年前后呈指数级增长。政策强度指数(PSI)将增长 20%,从 2020 年的 50%增至 2050 年的 60%,同期可再生能源投资将从 100 亿美元增至 250 亿美元。预计到 2050 年,排放量将稳步下降至零,这与净零目标一致。考虑到潜在的政策实施和技术发展变化,预测误差率为 ±5%。这些结果凸显了强化政策、持续投资和国际合作在加速全球向可再生能源过渡中的关键作用。研究为政策制定者和利益相关者提供了宝贵的见解,以指导未来实现可持续能源未来的战略。
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引用次数: 0
Advancement of thermochemical conversion and the potential of biomasses for production of clean energy: A review 热化学转化的进步和生物质生产清洁能源的潜力:综述
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115016
Divya Bisen , Ashish Pratap Singh Chouhan , Manish Pant , Sankar Chakma
This study delves into the promising realm of clean energy production through thermochemical conversion and chemical advancements. As the global demand for sustainable energy intensifies, exploring innovative technologies becomes imperative. The focus here is on harnessing the potential of thermochemical conversion, coupled with advancements in chemical processes. This dual approach holds significant promises for generating clean energy. The abstract underscores the critical role of these technologies in meeting escalating energy needs while shedding light on the advancements, challenges, and opportunities that pave the way for their successful implementation. Waste biomass represents an excellent bioresource that can be harnessed to produce numerous types of energy carriers, including bio-oil, bio-crude oil, biodiesel, syngas, biochar, and hydrogen. This article reviews the potential of various types of biomasses, including food waste, agricultural and forestry biomass, energy crops & oilseed crops, municipal solid waste, and animal manure, and also discusses the different types of reactors. In this review, comprehensively discusses all thermochemical methods for bio-oil production, including pyrolysis, gasification, and liquefaction. Each method is examined in detail, highlighting their respective processes, advantages, and challenges. Additionally, various types of reactors used in these methods are analyzed, emphasizing their roles and efficiencies in optimizing bio-oil yield and quality. Therefore, this review article will help in understanding the potentiality of waste biomasses for the production of clean energy via thermochemical techniques.
本研究深入探讨了通过热化学转换和化学进步生产清洁能源这一前景广阔的领域。随着全球对可持续能源需求的增加,探索创新技术已势在必行。本研究的重点是利用热化学转换的潜力,并结合化学工艺的进步。这种双管齐下的方法有望产生清洁能源。摘要强调了这些技术在满足日益增长的能源需求方面的关键作用,同时阐明了为成功实施这些技术铺平道路的进步、挑战和机遇。废弃生物质是一种极好的生物资源,可用于生产多种类型的能源载体,包括生物油、生物原油、生物柴油、合成气、生物炭和氢气。本文回顾了各类生物质的潜力,包括食物垃圾、农业和林业生物质、能源作物& 油籽作物、城市固体废弃物和动物粪便,还讨论了不同类型的反应器。本综述全面讨论了生物油生产的所有热化学方法,包括热解、气化和液化。对每种方法都进行了详细研究,强调了它们各自的工艺、优势和挑战。此外,还分析了这些方法中使用的各类反应器,强调了它们在优化生物油产量和质量方面的作用和效率。因此,这篇综述文章将有助于了解废弃生物质通过热化学技术生产清洁能源的潜力。
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引用次数: 0
Ultrathin flexible heat pipes with heat transfer performance and flexibility optimization for flexible electronic devices 为柔性电子设备优化传热性能和柔性的超薄柔性热管
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-31 DOI: 10.1016/j.rser.2024.115064
Yalong Sun , Fuye Liang , Jiangyi Chen , Heng Tang , Wei Yuan , Shiwei Zhang , Yong Tang , Kian Jon Chua
Ultrathin flexible heat pipes (UFHPs) are considered an ideal solution to the heat dissipation problem of flexible optoelectronics. However, the relatively poor heat transfer performance and flexibility of UFHPs greatly limit their application. In this study, laser ablation and embossing were adopted to optimize the comprehensive performances of UFHPs. The laser ablation removed the oxidized Nylon layer of the casing to reduce its thermal resistance, and the embossing process generated corrugated structures on the casing to enhance flexibility. The experimental results showed that removing the oxidized Nylon layer increases the thermal conductivity of UFHPs by 44.2–67.2 %, and the maximum thermal conductivity of UTHPs with a thickness of 0.63 mm reached 2423.7 W/m·K under forced water cooling conditions. The thermal conductivity could be further improved considering the casing still has polymer layers with a total thickness of 35 μm. Additionally, the thermal conductivity attenuation rates of UFHPs after repeated bending 50 times decreased from 73.2 % to 11.8 % when corrugated structures were applied. Under natural convective conditions, UFHPs with optimized design decreased the heater temperature by 11.7–16.1 % compared to the 0.7 mm copper plate. Further, they exhibited a consistent temperature distribution even after being bent 50 times. The corrugated structures reduced the elastic modulus of the casing, which avoided the formation of wrinkles during repeated bending and ensured the low resistance flow of vapor. The optimization techniques explored in this study offer a promising framework for enhancing and manufacturing high-performance UFHPs to meet the growing demands for heat dissipation in advanced optoelectronics.
超薄柔性热管(UFHP)被认为是解决柔性光电子散热问题的理想方案。然而,超薄柔性热管相对较差的传热性能和柔韧性极大地限制了其应用。本研究采用激光烧蚀和压花技术来优化超高频热电偶的综合性能。激光烧蚀可去除套管上的氧化尼龙层,降低其热阻;压花工艺可在套管上形成波纹结构,增强其柔韧性。实验结果表明,去除氧化尼龙层后,超高压陶瓷的热导率提高了 44.2-67.2%,在强制水冷条件下,厚度为 0.63 mm 的超高压陶瓷的最大热导率达到 2423.7 W/m-K。考虑到外壳中仍有总厚度为 35 μm 的聚合物层,导热率还可以进一步提高。此外,当采用波纹结构时,超高压陶瓷在反复弯曲 50 次后的热导率衰减率从 73.2% 降至 11.8%。在自然对流条件下,与 0.7 毫米的铜板相比,经过优化设计的超高频热电偶的加热器温度降低了 11.7%-16.1%。此外,即使弯曲 50 次,它们也能表现出一致的温度分布。波纹结构降低了外壳的弹性模量,从而避免了在反复弯曲过程中形成皱褶,并确保了蒸汽的低阻力流动。本研究中探索的优化技术为增强和制造高性能超高压热电偶提供了一个前景广阔的框架,以满足先进光电子领域日益增长的散热需求。
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引用次数: 0
State-of-the-art review of smart energy management systems for supporting zero-emission electric vehicles with X2V and V2X interactions 支持 X2V 和 V2X 交互的零排放电动汽车的智能能源管理系统最新进展综述
IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2024-10-30 DOI: 10.1016/j.rser.2024.115050
Gokula Manikandan Senthil Kumar , Xinman Guo , Shijie Zhou , Haojie Luo , Qi Wu , Yulin Liu , Zhenyu Dou , Kai Pan , Yang Xu , Hongxing Yang , Sunliang Cao
The accelerated penetration of electric vehicles (EVs) into the transportation market has resulted in increased stresses on the existing electric infrastructure and required charging facilities, boosting intensive research efforts in recent years for addressing energy management challenges. However, a systematic review is missing for summarising the following three academic progresses: (1) The sorting of energy management systems for supporting the zero-emission charging of EVs; (2) The classification of solutions to address the challenges of EV charging with increased automation levels, which are increasingly interacted with diversified information, typically represented by the “X2V” and “V2X” technologies; (3) The summary of diversified methodologies for seeking the multi-objective optimal decisions of charging processes and patterns, while coordinating the energy resources and impact between the generation, demand, and grid sides. Accordingly, this paper has conducted a state-of-the-art review of energy management systems for low-emission and zero-emission EVs to cover the above three unsorted review areas. Both the non-autonomous and autonomous EVs are covered in this review, with an aim to identify and classify the different features of energy supporting solutions, the role of X2V and V2X functions, and the required business models. Via this review, recent research trends have been noticed for the smart inclusion of EVs as part of future energy infrastructures, typically in the form of controllable demand and power reserves, mobile energy storage, and backup energy flexibility resources. Nevertheless, practical business models for better incentivising the smart charging of autonomous zero-emission EVs are still largely missing and limited.
随着电动汽车(EV)加速进入交通市场,对现有电力基础设施和所需充电设施的压力也随之增大,从而推动了近年来应对能源管理挑战的密集研究。然而,目前尚缺乏系统性综述来总结以下三方面的学术进展:(1)支持电动汽车零排放充电的能源管理系统分类;(2)应对电动汽车充电挑战的解决方案分类,随着自动化水平的提高,电动汽车充电越来越多地与以 "X2V "和 "V2X "技术为典型代表的多元化信息互动;(3)寻求充电过程和模式的多目标最优决策的多元化方法总结,同时协调发电、需求和电网三方的能源资源和影响。因此,本文对低排放和零排放电动汽车的能源管理系统进行了最新综述,以涵盖上述三个未分类的综述领域。本综述涵盖了非自主和自主电动汽车,旨在对能源支持解决方案的不同特点、X2V 和 V2X 功能的作用以及所需的商业模式进行识别和分类。通过本综述,我们注意到最近的研究趋势是将电动汽车作为未来能源基础设施的一部分,通常以可控需求和电力储备、移动储能和备用能源灵活性资源的形式进行智能化。然而,更好地激励自主零排放电动汽车智能充电的实用商业模式在很大程度上仍然缺失且有限。
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Renewable and Sustainable Energy Reviews
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