Results in Engineering最新文献

Advancements and challenges in green hydrogen production, storage, transportation, and utilization for climate-resilient energy systems 气候适应型能源系统中绿色氢生产、储存、运输和利用的进展和挑战

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-08 DOI: 10.1016/j.rineng.2026.108993

Mohammed Ghazal , Malaz Osman , Marah Alhalabi , Abdalla Gad , Maha Yaghi , Mohamad Ramadan , Mohammad Alkhedher

Consuming large quantities of harmful fossil fuels is leading to significant disturbances in the ecosystem’s health, increasing global Greenhouse Gas (GHG) emissions per capita of approximately 8.3% between 1990 and 2022. Increasing temperatures, frequent natural disasters, and rising sea levels are among the consequences of climate change that threaten Earth’s sustainability. In this context, green hydrogen has been proven to be a sustainable, clean, and environmentally friendly solution to such challenges. Hydrogen can play a vital role in the storage, transportation, or provision of alternative energy. However, it contributes only 2% of global hydrogen production, whereas fossil fuels account for over 96%. This paper highlights the potential and crucial need to integrate green hydrogen into the current and future energy infrastructure, ensuring a smooth transition towards climate-resilient and environmentally safe systems. It also analyzes the components of a hydrogen-based economy and infrastructure, including green hydrogen production, storage, transportation, and utilization. Solar-powered systems, biomass gasification, wind or hybrid systems, and geothermal methods are examined and shown to improve production efficiency by 64% and reduce GHG emissions by 94%. Green hydrogen production methods, including the work presented, aim to identify the key advantages, challenges, limitations, and opportunities that hydrogen can bring to the global economy, as well as the potential of green hydrogen to provide a clean earth for future generations. This review highlights recent advancements in green hydrogen production and utilization technologies and identifies gaps that require attention from research, industry, society, and government. The work presented in this review is based on an analysis of over 140 scholarly publications spanning 2010 to 2025, highlighting current developments in the adoption of the hydrogen economy.

大量消耗有害化石燃料对生态系统的健康造成了严重干扰，在1990年至2022年期间，全球人均温室气体排放量增加了约8.3%。气温上升、自然灾害频发、海平面上升是气候变化的后果之一，威胁着地球的可持续性。在这种背景下，绿色氢已被证明是应对此类挑战的可持续、清洁和环保的解决方案。氢在储存、运输或提供替代能源方面发挥着至关重要的作用。然而，它只占全球氢气产量的2%，而化石燃料占96%以上。本文强调了将绿色氢纳入当前和未来能源基础设施的潜力和关键需求，以确保向气候适应型和环境安全系统的顺利过渡。它还分析了氢经济和基础设施的组成部分，包括绿色氢生产、储存、运输和利用。太阳能系统、生物质能气化、风能或混合动力系统以及地热方法被检验并证明可以提高64%的生产效率，减少94%的温室气体排放。绿色制氢方法，包括所介绍的工作，旨在确定氢可以为全球经济带来的关键优势、挑战、限制和机遇，以及绿色氢为子孙后代提供清洁地球的潜力。本综述重点介绍了绿色制氢和利用技术的最新进展，并指出了需要引起研究、工业、社会和政府关注的差距。本综述中介绍的工作是基于对2010年至2025年140多份学术出版物的分析，突出了采用氢经济的当前发展。

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引用次数: 0

Green strategies for MXene synthesis: Toward sustainable nanomaterials and emerging applications MXene合成的绿色策略：走向可持续的纳米材料和新兴应用

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-03 DOI: 10.1016/j.rineng.2026.108970

Homa Kahkesh , Mahdi Yeganeh

MXenes, a family of two-dimensional (2D) transition metal carbides, nitrides, and carbonitrides, have attracted significant attention due to their high electrical conductivity, tunable surface chemistry, and structural adaptability. Conventional synthesis routes often rely on corrosive reagents such as hydrofluoric acid (HF), raising environmental and safety concerns. In this review, emerging green synthesis strategies are systematically examined, including electrochemical, alkali-based, molten salt, chemical vapor deposition, Photo–Fenton, physical, and biogenic approaches. Reaction parameters, precursors, reagents, and resulting surface terminations are discussed in detail. Beyond descriptive coverage, a novel analytical framework, the Green Synthesis Index (GSI), is introduced to quantitatively evaluate each route against sustainability-driven metrics such as safety, scalability, energy demand, environmental impact, termination diversity, and application suitability. The decision matrix derived from this framework indicates that electrochemical etching achieves the highest overall scores, while molten salt, physical, and biogenic methods excel in environmental compatibility but face scalability challenges. Chemical vapor deposition offers unmatched structural precision yet suffers from high energy demand, whereas Photo–Fenton protocols provide benign chemistry but require optimization for industrial translation. By consolidating these insights, the GSI transforms MXene synthesis from a descriptive catalog into a decision-making paradigm, enabling systematic prioritization of routes tailored to specific applications. Overall, green synthesis pathways, when assessed through the GSI framework, provide viable and scalable alternatives to conventional methods, aligning MXene development with global sustainability goals while opening new opportunities for safe and application-oriented material design.

MXenes是一类二维（2D）过渡金属碳化物、氮化物和碳氮化物，由于其高导电性、可调表面化学和结构适应性而引起了人们的广泛关注。传统的合成路线往往依赖于腐蚀性试剂，如氢氟酸，这引起了环境和安全问题。在这篇综述中，系统地研究了新兴的绿色合成策略，包括电化学、碱基、熔盐、化学气相沉积、光fenton、物理和生物合成方法。详细讨论了反应参数、前驱体、试剂和产生的表面终止。除了描述性覆盖之外，还引入了一种新的分析框架，即绿色综合指数（GSI），用于根据可持续性驱动的指标（如安全性、可扩展性、能源需求、环境影响、终端多样性和应用适用性）对每条路线进行定量评估。根据该框架得出的决策矩阵表明，电化学蚀刻获得了最高的总分，而熔盐、物理和生物源方法在环境兼容性方面表现出色，但面临可扩展性挑战。化学气相沉积提供了无与伦比的结构精度，但受到高能量需求的影响，而光-芬顿协议提供了良性化学反应，但需要对工业转化进行优化。通过整合这些见解，GSI将MXene合成从描述性目录转变为决策范例，从而能够针对特定应用系统地确定路线的优先级。总体而言，当通过GSI框架进行评估时，绿色合成途径为传统方法提供了可行且可扩展的替代方案，使MXene开发与全球可持续性目标保持一致，同时为安全和面向应用的材料设计开辟了新的机会。

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引用次数: 0

Recent optimization methods and techniques in residential home energy management systems 住宅家庭能源管理系统的最新优化方法和技术

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-03 DOI: 10.1016/j.rineng.2026.108974

Riad El Abed , Ali Hammoud , Mohamed El-Gohary , Bilal Taher

Residential Home Energy Management System (HEMS) has emerged as a key player in promoting energy efficiency, cost savings, and environmental sustainability within modern households. HEMS provides a crucial solution that combines smart technology and sustainable living, enabling homeowners to monitor, control, and optimize energy consumption. The architecture of HEMS is complex, incorporating sensors, actuators, communication networks, central controllers, user interfaces, and cloud services, and they can integrate renewable energy sources to enhance performance. Optimization techniques in HEMS range from exact mathematical methods, such as linear programming, to approximate approaches including meta-heuristics and Artificial Intelligence (AI), providing a dynamic framework for improving energy usage. This paper presents a comprehensive up-to-date review of HEMS research, focusing on optimization objective functions, methodologies, and techniques. Strengths and limitations of recent studies are critically analyzed, and potential directions for future research are proposed to assist researchers in advancing the field of intelligent residential energy management. Building on this foundation, this paper proposes a new conceptual Green Smart Home Energy Management System (GSHEMS), a novel framework designed to further enhance residential energy management. GSHEMS integrates renewable generation, intelligent storage management, predictive weather-based load scheduling, and dimming-based appliance control within a unified architecture. While GSHEMS is at the conceptual phase, its novelty lies in the holistic integration of AI-based optimization, predictive analytics, dual operation modes (automatic and manual), and real-time visualization, which is expected to outperform conventional HEMS in maximizing renewable utilization, reducing grid dependency, and maintaining user comfort with generating tailored recommendations for energy saving, based on forecasted weather and predicted renewable availability, transforming conventional home into Green Smart Home (GSH) or nearly Zero Energy Smart Home (ZESH).

住宅家庭能源管理系统（HEMS）已成为促进现代家庭能源效率，成本节约和环境可持续性的关键参与者。HEMS提供了一个结合智能技术和可持续生活的关键解决方案，使房主能够监控、控制和优化能源消耗。HEMS的架构很复杂，包括传感器、执行器、通信网络、中央控制器、用户界面和云服务，它们可以集成可再生能源以提高性能。HEMS中的优化技术范围从精确的数学方法，如线性规划，到近似方法，包括元启发式和人工智能（AI），为改善能源使用提供了一个动态框架。本文提出了一个全面的最新回顾的研究，集中在优化目标函数，方法和技术。批判性地分析了近年来研究的优势和局限性，并提出了未来研究的潜在方向，以帮助研究人员推进智能住宅能源管理领域的发展。在此基础上，本文提出了一个新的概念绿色智能家居能源管理系统（GSHEMS），这是一个旨在进一步加强住宅能源管理的新框架。GSHEMS将可再生能源发电、智能存储管理、基于天气的预测负荷调度和基于调光的设备控制集成在一个统一的体系结构中。虽然GSHEMS还处于概念阶段，但其新颖之处在于基于人工智能的优化、预测分析、双操作模式（自动和手动）和实时可视化的整体集成，有望在最大限度地提高可再生能源利用率、减少对电网的依赖以及根据预测天气和预测可再生能源可用性生成量身定制的节能建议方面优于传统的HEMS。将传统家居转变为绿色智能家居（GSH）或近零能耗智能家居（ZESH）。

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引用次数: 0

Artificial intelligence, IoT, and solar PV-integrated home energy management systems: A review 人工智能、物联网与太阳能光伏集成家庭能源管理系统综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2026-01-02 DOI: 10.1016/j.rineng.2025.108954

Md. Rokonuzzaman , Mahmuda Khatun Mishu , Boon Kar Yap , Mohammad Nur-E-Alam , Kazi Sajedur Rahman , Asif Islam , Jagadeesh Pasupuleti , Nowshad Amin

The rapid growth of solar photovoltaic (PV) systems, residential energy storage systems (ESS), Artificial Intelligence (AI) and Internet of Things (IoT)-enabled sensing devices has increased the demand for smart Home Energy Management Systems (HEMS) capable of optimizing energy use in smart buildings. This review presents a structured synthesis of recent research on AI and IoT-integrated HEMS, focusing on forecasting methods, optimization strategies, appliance scheduling, and demand side management (DSM). The analysis reveals that advanced neural network variants and hybrid AI approaches can achieve high accuracy in forecasting; however, the practical deployment is often constrained by computational complexity, limited generalization, and low technology readiness. Reinforcement learning (RL) shows strong potential for adaptive real-time control; however, sample inefficiency and the simulation-to-reality gap remain major challenges. Across the reviewed literature, fragmented IoT communication standards, cybersecurity vulnerabilities, limited prosumer participation, and insufficient validation through hardware-in-the-loop and field testing emerge as key barriers to large-scale adoption. Based on these findings, the paper outlines a future research roadmap emphasizing hybrid AI-optimization frameworks, edge-computing architectures, blockchain-enabled peer-to-peer (P2P) energy trading, and standardized validation protocols. The review provides actionable insights to support the development of scalable, secure, and interoperable HEMS, contributing to the realization of smart, sustainable, and net-zero residential energy systems.

太阳能光伏（PV）系统、住宅储能系统（ESS）、人工智能（AI）和支持物联网（IoT）的传感设备的快速增长，增加了对能够优化智能建筑能源使用的智能家居能源管理系统（HEMS）的需求。本文对人工智能和物联网集成HEMS的最新研究进行了结构化综合，重点介绍了预测方法、优化策略、设备调度和需求侧管理（DSM）。分析表明，先进的神经网络变体和混合人工智能方法可以达到较高的预测精度；然而，实际部署经常受到计算复杂性、有限的泛化和低技术准备程度的限制。强化学习（RL）在自适应实时控制方面显示出强大的潜力；然而，样本效率低下和模拟与现实的差距仍然是主要的挑战。在回顾的文献中，碎片化的物联网通信标准、网络安全漏洞、有限的产消参与以及通过硬件在环和现场测试的验证不足成为大规模采用物联网的主要障碍。基于这些发现，本文概述了未来的研究路线图，强调混合人工智能优化框架、边缘计算架构、支持区块链的点对点（P2P）能源交易和标准化验证协议。该综述提供了可操作的见解，以支持可扩展、安全和可互操作的HEMS的开发，有助于实现智能、可持续和净零住宅能源系统。

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引用次数: 0

Net zero carbon impulse – assessment of waste plastic and biomass char from the thermochemical process as a value-added product: A unified view 净零碳脉冲-评估废塑料和生物质炭从热化学过程作为增值产品：统一的观点

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-29 DOI: 10.1016/j.rineng.2025.108886

Ravishankar Sathyamurthy , Pitchaiah Sudalaimuthu , Prabhu B

Achieving carbon neutrality will stand among the most important global aims of many nations in the coming years, where advanced emissions reduction technologies can play a significant role. In recent years, third-generation biofuel feedstocks have contributed to energy conservation and net-zero carbon. Among these, the thermochemical process of plastic and biomass received great attention from many researchers for achieving a global circular economy with effective waste management strategies. Char is one of the valuable products from the thermochemical reaction of plastic and biomass. This review paper focuses uniquely on alarming facts about carbon emissions, specifically highlighting value-added products derived from plastic and biomass carbon sources to reduce carbon emissions through innovative and sustainable practices. In this review article we discussed the char characterization and their importance along with prospects, notably highlighting plastic char, which is an almost new aspect and crucial. Plastic and biomass are sustainable carbon sources. Char properties are desired in multiple applications due to their unique properties. Based on studies, char has been successfully employed for multiple applications such as oil and dye adsorption, air and water treatment, and the composite of civil concrete. This, followed by examining the carbon trading of plastic and biomass char, is currently under research in various applications. Process parameters and feedstocks play a role in the product. Optimal range and more inventions from plastic and biomass conversion into char are expected, along with socio-economic benefits. Hydrothermal carbonization offers closer benefits, but technological challenges restrict the process, notably in reactor handling and process control. However, this review will promote the importance of recycling into greener products, negative emissions techniques (NETs), and carbon neutrality.

实现碳中和将是许多国家未来几年最重要的全球目标之一，先进的减排技术可以在其中发挥重要作用。近年来，第三代生物燃料原料对节能和净零碳排放做出了贡献。其中，塑料和生物质的热化学过程为实现全球循环经济和有效的废物管理策略而受到许多研究人员的关注。炭是塑料与生物质热化学反应的宝贵产物之一。这篇综述论文特别关注了碳排放的惊人事实，特别强调了从塑料和生物质碳源衍生的增值产品，通过创新和可持续的实践来减少碳排放。本文综述了煤焦的性质及其重要性和发展前景，重点介绍了塑料煤焦这一新兴而又至关重要的研究方向。塑料和生物质是可持续的碳源。字符属性由于其独特的属性在许多应用程序中都是需要的。在研究的基础上，炭已成功地应用于油和染料的吸附、空气和水的处理以及民用混凝土的复合等多种应用。目前正在研究各种应用，其次是研究塑料和生物质炭的碳交易。工艺参数和原料在产品中起作用。预计塑料和生物质转化为木炭的最佳范围和更多发明将带来社会经济效益。水热碳化提供了更接近的好处，但技术挑战限制了这一过程，特别是在反应器处理和过程控制方面。然而，这篇综述将促进回收成为更绿色产品、负排放技术（NETs）和碳中和的重要性。

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引用次数: 0

The integration of Artificial Intelligence in seaports' smart gate processes: Evidence based on a systematic literature review 人工智能在港口智能门流程中的整合：基于系统文献综述的证据

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-29 DOI: 10.1016/j.rineng.2025.108919

Pedro Teixeira , Rui Borges Lopes , Leonor Teixeira

Artificial Intelligence (AI) is transforming modern seaports. One key innovation is the implementation of AI-driven smart pre-gate systems, which streamline truck flow and enhance the overall efficiency of container terminals. There has been an increase in studies on the impact of AI integration in seaports, but few research studies focus on initiatives applied specifically to smart gates. To address this gap, this study aims to explore the integration of AI in smart gate processes and understand its impact. To reach this goal, a systematic literature review was applied following the PRISMA reporting guidelines. The review involved searching for primary studies in four major databases: SCOPUS, Web of Science, IEEE, and ACM. A snowball search was also used to find more studies. After a screening and selection procedure, 26 papers were deemed relevant and were analyzed through a bibliometric and content analysis. The results reveal that machine/deep learning and temporal models are predominantly used to predict truck arrivals and optimize gate scheduling, while reinforcement learning and computer vision automate vehicle and cargo recognition. Reinforcement learning and digital twin systems are emerging as tools for adaptive control and simulation of complex gate environments. Evidence suggests a dominance of experimental studies, indicating that while the feasibility of AI in smart gates is well-established, integration remains challenging. This review contributes to a clearer understanding of how AI is shaping the next generation of port access infrastructure and identifies gaps and future research directions for the development of smart and interoperable gates in maritime logistics.

人工智能（AI）正在改变现代海港。一项关键创新是实施人工智能驱动的智能预闸系统，该系统简化了卡车流程，提高了集装箱码头的整体效率。关于人工智能整合对海港影响的研究有所增加，但很少有研究关注专门应用于智能门的举措。为了解决这一差距，本研究旨在探索人工智能在智能门流程中的整合，并了解其影响。为了达到这一目标，按照PRISMA报告指南进行了系统的文献综述。该综述包括在四个主要数据库中检索主要研究：SCOPUS、Web of Science、IEEE和ACM。雪球搜索也被用来寻找更多的研究。经过筛选和选择程序，26篇论文被认为是相关的，并通过文献计量学和内容分析进行分析。结果表明，机器/深度学习和时间模型主要用于预测卡车到达和优化出入口调度，而强化学习和计算机视觉则自动识别车辆和货物。强化学习和数字孪生系统正在成为复杂闸门环境自适应控制和仿真的工具。有证据表明，实验研究占主导地位，表明尽管人工智能在智能门中的可行性已经确立，但整合仍然具有挑战性。这一综述有助于更清楚地了解人工智能如何塑造下一代港口接入基础设施，并确定海上物流中智能和可互操作门的发展差距和未来研究方向。

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引用次数: 0

Green extraction of natural products: A bibliometric review of global research trends, technological advances, and environmental implications 天然产品的绿色提取：全球研究趋势、技术进步和环境影响的文献计量学综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-27 DOI: 10.1016/j.rineng.2025.108913

Motasem Y.D. Alazaiza , Aiman A. Bin Mokaizh , Abdulrahman Hamid Nour , Tharaa M. Alzghoul , Abdullah O. Baarimah

The increasing demands for environmentally sound and sustainable extraction methods have prompted an increasing demand for green extraction technologies for natural products. This bibliometric analysis investigates the research trends, lead researchers, and emerging methodologies of green extraction from 2004 until the last search conducted on 16th February 2025. In relation to a summary of 140 Scopus-indexed articles, the current study finds an increasingly large body of research in recent years with a maximum increase after 2015 following advancements in different techniques such as supercritical fluid extraction, ultrasound-assisted extraction, and enzymatic extraction. China, India, and Brazil lead in terms of publication volume, whereas European countries have higher citation influence, reflecting their contribution to the production of high-quality research. Flagship journals such as Trends in Food Science & Technology and Food Research International play a crucial role in the advancement of research in this field. Despite significant strides, issues such as scalability, regulatory harmonization, and stability of extracted bioactive compounds continue to face researchers. Future research would have to be focused on industrial integration, artificial intelligence-based optimization, and broader applications in the circular economy. Green extraction technologies are on the verge of transforming waste valorization, enhancing bioavailability, and facilitating environmentally friendly industrial processes.

对环保和可持续提取方法的需求日益增长，促使对天然产物绿色提取技术的需求不断增加。本文献计量分析调查了2004年至2025年2月16日最后一次检索期间绿色提取的研究趋势、主要研究人员和新兴方法。通过对140篇scopus检索文章的总结，本研究发现近年来的研究数量越来越多，2015年后随着超临界流体提取、超声辅助提取和酶促提取等不同技术的进步，研究数量增加最多。中国、印度和巴西的出版物数量领先，而欧洲国家的引用影响力更高，这反映了它们对高质量研究的贡献。《食品科学与技术趋势》和《国际食品研究》等旗舰期刊在这一领域的研究进步中发挥着至关重要的作用。尽管取得了重大进展，但研究人员仍然面临着可扩展性、监管协调和提取生物活性化合物稳定性等问题。未来的研究必须集中在产业整合、基于人工智能的优化以及在循环经济中的更广泛应用上。绿色提取技术即将改变废物的价值，提高生物利用度，促进环境友好的工业过程。

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引用次数: 0

Advances in amine-based absorption solvent engineering: Co-solvent strategies toward low-energy post-combustion CO₂ capture 胺基吸收溶剂工程的进展：燃烧后低能量CO₂捕获的助溶剂策略

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-26 DOI: 10.1016/j.rineng.2025.108910

Seyed Ahmadreza Amirsadat , Ahmad Azari , Ali Valizadeh

The continuous rise in anthropogenic CO₂ emissions from fossil fuel combustion underscores the urgency of developing efficient carbon capture technologies. Among various methods, post-combustion CO₂ capture using amine-based solvents remains the most mature and industrially viable. However, conventional aqueous-amine systems suffer from high regeneration energy demands, solvent degradation, and operational challenges. This study systematically reviews recent advances in amine-based solvents and co-solvent formulations designed to enhance absorption efficiency and reduce energy consumption. The discussion covers (i) thermodynamic and kinetic fundamentals of amine–CO₂ interactions, (ii) the effects of co-solvent addition on viscosity, mass transfer, and thermal stability, and (iii) the influence of operating parameters on cyclic capacity and regeneration energy. Emerging classes such as water-lean, biphasic, and nanoparticle-enhanced systems are critically compared based on their absorption kinetics, desorption enthalpy, and stability under cyclic operation. Bibliometric analysis is used to map the evolution of research trends in solvent engineering. The review highlights that co-solvents such as glycols, sulfoxides, and glycol ethers can lower reboiler duty by up to 60% relative to aqueous monoethanolamine while maintaining comparable absorption performance. Remaining challenges include viscosity control, long-term solvent degradation, and scalability. Future research should focus on optimizing solvent composition, integrating process intensification techniques, and developing predictive models linking molecular structure to process performance.

化石燃料燃烧产生的人为二氧化碳排放量持续上升，凸显了开发高效碳捕获技术的紧迫性。在各种方法中，使用胺基溶剂捕获燃烧后的二氧化碳是最成熟和工业上可行的。然而，传统的水胺系统面临着高再生能源需求、溶剂降解和操作挑战。本研究系统地回顾了胺基溶剂和助溶剂配方的最新进展，旨在提高吸收效率和降低能耗。讨论内容包括(i)胺-二氧化碳相互作用的热力学和动力学基础，（ii）添加助溶剂对粘度、传质和热稳定性的影响，以及（iii）操作参数对循环容量和再生能量的影响。新兴类别，如水贫、双相和纳米颗粒增强系统，根据其吸收动力学、解吸焓和循环操作下的稳定性进行了严格的比较。文献计量分析被用来描绘溶剂工程研究趋势的演变。该综述强调，与单乙醇胺水溶液相比，乙二醇、亚砜和乙二醇醚等共溶剂可将再沸器负荷降低高达60%，同时保持相当的吸收性能。剩下的挑战包括粘度控制、长期溶剂降解和可扩展性。未来的研究应集中在优化溶剂组成、整合工艺强化技术以及建立分子结构与工艺性能之间的预测模型。

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引用次数: 0

Advancing hydrogen storage: A comprehensive bibliometric and modeling analysis of magnesium hydride sustainability 推进氢储存：氢化镁可持续性的综合文献计量学和建模分析

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-25 DOI: 10.1016/j.rineng.2025.108893

Haryadi Haryadi , Suwarno Suwarno , Harus Laksana Guntur , Muhammad Zohri , M. Ismail

Hydrogen is increasingly recognized as a clean and sustainable energy carrier, and magnesium hydride (MgH₂) has emerged as a promising material for hydrogen storage due to its high gravimetric capacity and abundance. This review aims to provide a comprehensive evaluation of MgH₂’s sustainability for hydrogen storage by integrating bibliometric analysis and mathematical modeling. Using the Scopus database and VOSviewer software, the study maps research trends from 2015 to 2025, identifying key themes such as nanostructuring, catalytic enhancement, and alloying strategies. The methodology includes a systematic literature search and exclusion criteria to ensure relevance and quality. Results reveal that nanostructuring and catalyst incorporation, particularly metal oxide and MXene catalysts, significantly improve hydrogen absorption/desorption kinetics and reduce the activation energy. Modeling-based case studies demonstrate the effectiveness of MgH₂ in real-world applications, including hydrogen storage tanks and phase change material integration, highlighting thermal management and system optimization. Despite its advantages, MgH₂ challenges remain, such as high desorption temperatures and slow kinetics, which are being addressed through advanced material design. The findings underscore the potential of MgH₂ as a sustainable hydrogen storage medium and suggest that future research should focus on multiscale engineering and lifecycle sustainability to enable its practical deployment in clean energy systems.

氢越来越被认为是一种清洁和可持续的能源载体，氢化镁（MgH 2）因其高重量容量和丰度而成为一种有前途的储氢材料。本文旨在通过文献计量分析和数学建模相结合的方法，对MgH 2的储氢可持续性进行综合评价。利用Scopus数据库和VOSviewer软件，该研究绘制了2015年至2025年的研究趋势图，确定了纳米结构、催化增强和合金策略等关键主题。该方法包括系统的文献检索和排除标准，以确保相关性和质量。结果表明，纳米结构和催化剂的掺入，特别是金属氧化物和MXene催化剂，显著改善了氢的吸附/解吸动力学，降低了活化能。基于建模的案例研究证明了MgH₂在现实应用中的有效性，包括储氢罐和相变材料集成，突出了热管理和系统优化。尽管具有优势，但MgH₂仍然存在挑战，例如高解吸温度和慢动力学，这些问题正在通过先进的材料设计来解决。研究结果强调了MgH₂作为可持续储氢介质的潜力，并建议未来的研究应侧重于多尺度工程和生命周期可持续性，以使其在清洁能源系统中的实际部署。

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引用次数: 0

A comprehensive review on synthesis and application of MAX/MXenes as 2D nanoreactants with a glance at the modification of materials 综述了MAX/MXenes作为二维纳米反应器的合成与应用，并对材料的改性进行了综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2025-12-25 DOI: 10.1016/j.rineng.2025.108895

Seyed Mohammad Taher Shahin , Majid Montazer

MXene modification of polymeric materials represents a promising frontier for the development of advanced functional composites, particularly in smart textiles, flexible electronics, and multifunctional coatings. By exploiting MXene surface-active groups, metallic conductivity, and mechanical reinforcement capabilities, MXene–polymer systems can deliver high electromagnetic interference (EMI) shielding effectiveness often exceeding 40 dB at sub-millimeter thickness, electrical conductivities above 10³ S cm⁻¹, and strain sensitivities with gauge factors above 9000 in optimized textile-based sensors. This review systematically surveys MAX phases as layered precursors, their synthesis routes, and their conversion into MXenes via top-down etching and emerging bottom-up chemical vapor deposition, with emphasis on safer, fluoride-free, and scalable processes. Particular attention is given to in situ characterization and first-principles calculations, which together clarify structural evolution, surface terminations, and property tuning during the transformation of MAX into MXene. The paper then critically compares MXene-based electronic, sensing, environmental, and biomedical applications, highlighting representative performance metrics such as ∼72 °C thermal regulation over thousands of seconds in MXene textile heaters and 90–91% optical transmittance combined with conductivities of around 3092 S cm⁻¹ in transparent conductive electrodes. Three major contributions distinguish this work: (i) integrating MAX synthesis, MXene etching/delamination strategies, and MXene–polymer systems within a single framework; (ii) emphasizing relatively low-hazard, industrially relevant processing routes; and (iii) identifying key challenges in oxidation stability, environmental compatibility, and long-term mechanical durability of MXene-polymer composites. These insights provide a roadmap for designing next-generation MAX/MXene nanoreactants and MXene-modified polymeric materials for high-performance, real-world devices.

高分子材料的MXene改性代表了先进功能复合材料发展的一个有前途的前沿，特别是在智能纺织品、柔性电子和多功能涂料方面。通过利用MXene表面活性基团、金属导电性和机械增强能力，MXene聚合物系统可以提供高电磁干扰（EMI）屏蔽效能，在亚毫米厚度下通常超过40 dB，电导率超过103 S cm−1，在优化的基于纺织品的传感器中，应变灵敏度高于9000。本文系统地综述了作为层状前体的MAX相，它们的合成路线，以及它们通过自上而下的蚀刻和新兴的自下而上的化学气相沉积转化为MXenes的方法，重点是更安全，无氟和可扩展的工艺。特别关注的是原位表征和第一性原理计算，它们共同阐明了MAX向MXene转化过程中的结构演变、表面终止和性质调整。然后，论文对基于MXene的电子、传感、环境和生物医学应用进行了批判性比较，突出了具有代表性的性能指标，例如MXene纺织品加热器在数千秒内的~ 72°C热调节，以及90-91%的光学透射率，以及透明导电电极的导电性约为3092 S cm−1。三个主要贡献使这项工作脱颖而出：(i)在单一框架内集成MAX合成，MXene蚀刻/分层策略和MXene聚合物系统；（ii）强调相对低危害、与工业相关的加工路线；（iii）确定mxene -聚合物复合材料在氧化稳定性、环境兼容性和长期机械耐久性方面的关键挑战。这些见解为设计下一代高性能、现实设备的MAX/MXene纳米反应物和MXene改性聚合物材料提供了路线图。

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