Green Energy and Resources最新文献_第4页

Investigation of highly efficient CO2 hydrogenation at ambient conditions using dielectric barrier discharge plasma 环境条件下介质阻挡放电等离子体高效CO2加氢研究

Green Energy and Resources

Pub Date : 2024-12-01 DOI: 10.1016/j.gerr.2024.100102

Zhihao Zeng , Yujiao Li , Yunfei Ma , Xiaoqing Lin , Xiangbo Zou , Hao Zhang , Xiaodong Li , Qingyang Lin , Ming-Liang Qu , Zengyi Ma , Angjian Wu

The increasing utilization of CO₂ for synthesizing high-value fuels or essential chemicals is a potentially effective approach to mitigating global warming and climate change. Compared to thermal catalytic CO₂ conversion under harsh operating conditions (400∼500°C, 10 MPa), non-thermal plasma can overcome kinetic barriers and trigger reactions beyond thermal equilibrium at ambient temperature and pressure. In this study, the effects of operating conditions (discharge frequency, input power, and gas flow rate) and geometrical parameters (discharge length, discharge gap, and dielectric materials) have been extensively analyzed using typical cylindrical dielectric barrier discharge (DBD) plasma. The discharge characteristics changed by operating conditions (including waveforms of applied voltage and current) are compared, indicating higher applied voltage and lower gas flow rate can strengthen the filamentary discharges. The results demonstrate CO₂ conversion rate increases with the increase of applied voltage and the decrease of CO₂/H₂ ratio, achieving its maximum value of 43.0% at 20 mL/min. The highest energy efficiency of 3771.9 μg/kJ for CO generation is obtained at the applied voltage of 5.5 kV and gas flow rate of 40 mL/min, respectively. Besides, the structure of plasma reactor also impacts the performance of CO₂ conversion. On the one hand, the discharge gap has a significant role in the variation of CO₂ conversion and product selectivity, which is attributed to the electric field density and corresponding electron-induced reaction. On the other hand, the circulating water-cooling jacket was used to find out the influence of reaction temperature, which switched the product from CO to CH₄. This work will pave the way for a sustainable alternative towards future CO₂ conversion and utilization.

增加利用二氧化碳合成高价值燃料或基本化学品是减缓全球变暖和气候变化的潜在有效方法。与恶劣操作条件下（400 ~ 500°C, 10 MPa）的热催化CO2转化相比，非热等离子体可以克服动力学障碍，并在环境温度和压力下触发超过热平衡的反应。在本研究中，使用典型的圆柱形介质阻挡放电（DBD）等离子体，对工作条件（放电频率、输入功率和气体流速）和几何参数（放电长度、放电间隙和介质材料）的影响进行了广泛的分析。比较了不同工况下的放电特性变化（包括外加电压和电流波形），表明较高的外加电压和较低的气体流量可以增强细丝放电。结果表明：CO2转化率随施加电压的增大和CO2/H2比的减小而增大，在20 mL/min时达到最大值43.0%；当施加电压为5.5 kV、气体流速为40 mL/min时，CO的能量效率最高，为3771.9 μg/kJ。此外，等离子体反应器的结构也会影响CO2转化的性能。一方面，放电间隙对CO2转化率和产物选择性的变化有显著影响，这与电场密度和相应的电子诱导反应有关。另一方面，利用循环水冷却夹套考察反应温度的影响，使产物由CO转化为CH4。这项工作将为未来二氧化碳转化和利用的可持续替代方案铺平道路。

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引用次数: 0

Application and extension of diesel spray theory in analysis of methanol spray characteristics under high-pressure injection conditions 柴油喷雾理论在高压喷射条件下甲醇喷雾特性分析中的应用与推广

Green Energy and Resources

Pub Date : 2024-12-01 DOI: 10.1016/j.gerr.2024.100103

Pengbo Dong , Yifan Zhang , Yang Wang , Wuqiang Long , Jiangping Tian , Hua Tian , Keiya Nishida

Methanol has received widespread attention as a kind of alternative fuel for internal combustion engines because of its wide range of sources, low price, low combustion emission pollution, and carbon neutrality. Meanwhile, the relatively developed diesel spray theories have a great reference value to theoretical analysis of high-pressure methanol injection. Based on the optical experiment of the methanol sprays under high-pressure injection conditions, the empirical models for predicting spray tip penetration, spray angle, spray area, and spray volume of diesel were used to calculate the parameters of the methanol sprays. These calculation values were then compared with the experimental values to establish empirical models of high-pressure methanol spray characteristics. On this basis, an assessment of the adaptability of the diesel spray similarity theory applied to the high-pressure methanol sprays was conducted under similarity conditions. The results show that Wakuri's model has the best predictive performance on the methanol spray tip penetration (the average relative error is 4.31%), and Inagaki's model provides the most precise predictions on the methanol spray angle (the average relative error is 2.63%). After correcting the constants, empirical models that can describe the methanol spray characteristics in this experiment were proposed. In terms of the similarity theory, the diesel spray similarity theory shows good adaptability to the spray tip penetration and spray angle of the high-pressure methanol sprays with nozzle diameters of 0.12 mm and 0.15 mm under similarity conditions. The above results can serve as a basis for extending diesel spray theory to methanol and for the upsizing or downsizing design of direct injection methanol engines with different bore sizes of the same series.

甲醇作为一种内燃机替代燃料，因其来源广泛、价格低廉、燃烧排放污染小、碳中性等优点而受到广泛关注。同时，相对发达的柴油喷雾理论对高压甲醇喷射的理论分析也有很大的参考价值。在高压喷射条件下甲醇喷雾光学实验的基础上，建立了喷雾尖突、喷雾角、喷雾面积和柴油喷雾体积的经验模型，对甲醇喷雾参数进行了计算。将计算值与实验值进行对比，建立高压甲醇喷雾特性的经验模型。在此基础上，对柴油喷雾相似理论在相似条件下对高压甲醇喷雾的适应性进行了评价。结果表明，Wakuri模型对甲醇喷雾尖端穿透的预测性能最好（平均相对误差为4.31%），Inagaki模型对甲醇喷雾角的预测精度最高（平均相对误差为2.63%）。修正常数后，提出了能够描述本实验中甲醇喷雾特性的经验模型。相似理论方面，柴油喷雾相似理论对喷嘴直径分别为0.12 mm和0.15 mm的高压甲醇喷雾器在相似条件下的喷尖侵彻度和喷角具有较好的适应性。以上结果可作为将柴油喷射理论推广到甲醇的依据，也可作为同一系列不同缸径的直喷甲醇发动机大型化或小型化设计的依据。

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引用次数: 0

Modification approach of Northern Wall to improve the performance of solar greenhouse dryers: A review 提高日光温室干燥器性能的北墙改造方法综述

Green Energy and Resources

Pub Date : 2024-12-01 DOI: 10.1016/j.gerr.2024.100104

M.C. Ndukwu , Leonard Akuwueke , Godwin Akpan , M.F. Umunna , Godwin Usoh , Inemesit Ekop , Promise Etim , I. Okosa , Francis Orji , E.C. Ikechukwu-Edeh , Ifiok Ekop , Merlin Simo-Tagne , Lyes Bennamoun , Hongwei Wu , Fidelis Abam

Globally, interest is shifting toward green energy due to its environmental appeal. Therefore, to promote energy and environmental conservation in drying, several solar dryers have been developed which offers limitless, clean, and free energy to dry agricultural product. Among these solar dryers, solar greenhouse dryers offer a very simple low-temperature, energy-efficient structure capable of drying large beds of crops by harnessing thermal radiation energy from the sun. To improve the thermal performance in the passive mode especially, several modification approaches have been adopted. This article, therefore, reviewed various possible modification methods that have been adopted to improve the thermal performance of the greenhouse, with a focus on the modification of the northern wall. The various strategies involved in the modification of the north wall structure include creating an opaque north wall with black painted materials, installing a reflective north wall using a mirror, integrating heat storage materials like pebbles or brick, integrating phase change materials into the north wall, digging the soil depth to form a north wall and creating a variable southern roof with a modified north wall. Modifying the northern wall showed higher drying chamber temperature compared to completely transparent convectional greenhouse dryers in all the studies. These modifications can increase the temperature of the modified greenhouse by 13.38∼21.10% for a natural convection solar greenhouse dryer compared to the conventional type. With this approach, the radiation losses from the northern wall can be minimized and the energy management system of the greenhouse can be optimized for higher performance, making it more sustainable and eliminating the use of fossil fuel in agricultural product drying.

在全球范围内，由于绿色能源对环境的吸引力，人们的兴趣正在转向绿色能源。因此，为了促进干燥过程中的节能环保，人们开发了几种太阳能干燥机，为干燥农产品提供无限的、清洁的、免费的能源。在这些太阳能烘干机中，太阳能温室烘干机提供了一种非常简单的低温，节能的结构，能够通过利用太阳的热辐射能量来干燥大床的作物。为了改善被动模式下的热性能，采用了几种改进方法。因此，本文回顾了各种可能的改造方法，以改善温室的热性能，重点是北墙的改造。修改北墙结构的各种策略包括使用黑色涂料材料创建不透明的北墙，使用镜子安装反射的北墙，集成鹅卵石或砖等储热材料，将相变材料集成到北墙中，挖掘土壤深度形成北墙，并通过修改北墙创建可变的南屋顶。在所有的研究中，与完全透明的对流温室干燥器相比，修改北墙的干燥室温度更高。这些改进可以使改造后的温室温度比传统类型的自然对流太阳能温室干燥器提高13.38 ~ 21.10%。通过这种方法，可以最大限度地减少北墙的辐射损失，并优化温室的能源管理系统，使其具有更高的性能，使其更具可持续性，并消除了在农产品干燥过程中使用化石燃料。

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引用次数: 0

Drivers of green energy transition: A review 绿色能源转型驱动因素综述

Green Energy and Resources

Pub Date : 2024-12-01 DOI: 10.1016/j.gerr.2024.100105

Francis Muhire , Dickson Turyareeba , Muyiwa S. Adaramola , Mary Nantongo , Ronnette Atukunda , Anthony M. Olyanga

The pressing need for substantial actions to address climate change is globally recognised, notably through initiatives like the Green Energy Transition (GET) to foster a sustainable future. Despite this global acknowledgement, traditional energy sources maintain their dominance in the worldwide energy sector, with fossil fuels and solid biomass accounting for about 75% of total global Greenhouse Gas (GHG) emissions. The escalating GHG emissions levels directly threaten the climate, leading to global warming and adverse environmental consequences. A systematic literature review was employed to comprehensively examine the conceptualisation and drivers of the GET. The study identified Economic, Social, Political/Legal, Technological, and Environmental factors as drivers of GET. The study revealed diverse perspectives among researchers in conceptualising the GET, with a prevailing consensus that it is a global shift from carbon-intensive to sustainable and low-carbon emission energy alternatives and associated technologies. Predominantly, sustainability transition theories emerged as the most frequently applied conceptual frameworks. Commonly utilised tools for data analysis included Autoregressive Distributed Lag and Generalized Methods of Moments. Recognising the critical role of GET in mitigating GHG emissions and addressing climate change, the results underscore the importance of addressing the identified factors propelling the transition.

全球都认识到，迫切需要采取实质性行动应对气候变化，特别是通过绿色能源转型等倡议，创造可持续的未来。尽管全球都认识到这一点，但传统能源仍在全球能源领域占据主导地位，化石燃料和固体生物质约占全球温室气体（GHG）排放总量的75%。温室气体排放水平的不断上升直接威胁着气候，导致全球变暖和不利的环境后果。采用系统的文献综述来全面检查GET的概念和驱动因素。该研究确定了经济、社会、政治/法律、技术和环境因素是GET的驱动因素。该研究揭示了研究人员对GET概念的不同看法，普遍的共识是，这是一个从碳密集型向可持续和低碳排放的能源替代品和相关技术的全球转变。主要是，可持续性转型理论成为最常用的概念框架。常用的数据分析工具包括自回归分布滞后和广义矩量法。认识到GET在减少温室气体排放和应对气候变化方面的关键作用，结果强调了解决已确定的推动转型因素的重要性。

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引用次数: 0

Theoretical analysis of organic Rankine cycle for maximum power generation in optimization operation conditions 优化运行条件下最大功率有机朗肯循环的理论分析

Green Energy and Resources

Pub Date : 2024-12-01 DOI: 10.1016/j.gerr.2024.100101

Baoju Jia , Yu Lei , Faming Sun , Weisheng Zhou

The global critical issue in energy scarcity should be appropriately solved to realize a sustainable society. Effective use of Rankine cycle is one possible way since it provides most of worldwide electricity production. In this paper, theoretical analysis model of organic working fluids R717, R134a, R1234yf, R290, R245fa and R1233zd in Rankine cycle for maximum power generation in optimization operation using low-temperature heat sources are proposed and studied for development next generation green and zero-carbon energy generation system to promote the race to zero. Results show that temperatures of warm and cold water at inlet, mass flow rate of the warm water and performance of the evaporator play a key role to obtain the theoretical optimization operation conditions for maximum power generation. In the case of same initial conditions of temperatures of warm water (85°C) and cold water (15°C) at inlet, mass flow rate of the warm water (10 kg/s) and performance of the evaporator (100 kW/K), R717 has the best performance in terms of the maximum power output 56.0 kW with thermal efficiency of 8.6%, and the next is the R1233zd (54.4 kW, 8.3%), R245fa (54.0 kW, 8.2%), R134a (52.8 kW, 7.9%), R290 (52.7 kW, 7.9%), and R1234yf (51.7 kW, 7.7%). Here, it should be noticed that other optimization conditions are almost the same (mass flow rate of the cold water 9.1–9.2 kg/s; performance of the condenser 91∼92 kW/K) to get their maximum power output of ORC. In addition, it also known that low-GWP R1233zd (GWP: 1) can deserve the best option to replace R245fa (GWP: 950) and R1234yf (GWP: 4) also can replace r134a (GWP: 1430) since their optimization operation conditions are almost same.

要实现可持续社会，必须妥善解决能源短缺这一全球性的关键问题。有效利用朗肯循环是一种可能的方法，因为它提供了世界上大部分的电力生产。本文提出并研究了低温热源优化运行下有机工质R717、R134a、R1234yf、R290、R245fa、R1233zd在朗肯循环最大功率工况下的理论分析模型，以开发下一代绿色零碳能源发电系统，促进零竞赛。结果表明，进口冷热水温度、温水质量流量和蒸发器性能对获得最大功率的理论优化运行条件起关键作用。在进口温水温度（85℃）和冷水温度（15℃）、温水质量流量（10 kg/s）和蒸发器性能（100 kW/K）相同的初始条件下，R717的最大功率输出功率为56.0 kW，热效率为8.6%，性能最佳，依次为R1233zd （54.4 kW, 8.3%）、R245fa （54.0 kW, 8.2%）、R134a （52.8 kW, 7.9%）、R290 （52.7 kW, 7.9%）和R1234yf （51.7 kW, 7.7%）。这里需要注意的是，其他优化条件基本相同(冷水质量流量9.1 ~ 9.2 kg/s；冷凝器的性能为91 ~ 92 kW/K)，以获得ORC的最大功率输出。此外，已知低GWP值R1233zd （GWP: 1）可以替代R245fa (GWP: 950), R1234yf （GWP: 4）也可以替代r134a (GWP: 1430)，因为它们的优化运行条件几乎相同。

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引用次数: 0

Investigation of bioethanol low-carbon fuel for diesel engines under idling conditions: Combustion, engine performance and emissions 怠速工况下柴油发动机使用生物乙醇低碳燃料的研究：燃烧、发动机性能和排放

Green Energy and Resources

Pub Date : 2024-11-02 DOI: 10.1016/j.gerr.2024.100100

Jun Cong Ge , Lifeng Wang , Hongliang Luo , Nag Jung Choi

In this study, the low idle operation is defined as the engine running at the lowest engine speed with a few slight loads. Idling is necessary for most vehicles, especially for buses and trucks that frequently travel long distances, as drivers often rest inside the vehicle. However, under idling conditions, weak air flow and low air-fuel ratio result in poor air to fuel mixture, ultimately causing incomplete combustion and the production of more harmful exhaust emissions. Bioethanol, as a low-carbon fuel, has great potential for application in diesel engines due to its unique properties. In this research, the influences of different diesel-bioethanol blends (BE0, BE5, BE10, BE15) on combustion and emissions of a diesel engine were investigated under idle conditions. The main results show that there was no phase separation phenomenon even up to 15% bioethanol was directly blended with diesel by volume. And adding bioethanol to diesel had no significant impact on combustion pressure peak, but it postponed the start of combustion (SOC). Surprisingly, the nitrogen oxide (NO_x) and smoke were simultaneously decreased by over 52% and 78% with the intervention of bioethanol, respectively.

在本研究中，低怠速运行是指发动机在最低转速下运行，仅有少量负载。怠速对于大多数车辆都是必要的，尤其是对于经常长途旅行的公共汽车和卡车，因为驾驶员经常在车内休息。然而，在怠速工况下，微弱的气流和较低的空燃比会导致空气与燃料混合不良，最终导致燃烧不完全，产生更多有害废气。生物乙醇作为一种低碳燃料，因其独特的性能而在柴油发动机中具有巨大的应用潜力。本研究调查了不同柴油-生物乙醇混合物（BE0、BE5、BE10、BE15）在怠速条件下对柴油发动机燃烧和排放的影响。主要结果表明，即使生物乙醇与柴油的直接混合比例达到 15%，也不会出现相分离现象。在柴油中添加生物乙醇对燃烧压力峰值没有明显影响，但会推迟燃烧开始时间（SOC）。令人惊讶的是，在生物乙醇的作用下，氮氧化物（NOx）和烟雾同时分别减少了 52% 和 78%。

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引用次数: 0

Effect of rich-MgO from low-calcium limestone on the calcination and properties of C4A3$-C2S clinker 低钙石灰石中的富氧化镁对 C4A3$-C2S 熟料煅烧和性能的影响

Green Energy and Resources

Pub Date : 2024-09-24 DOI: 10.1016/j.gerr.2024.100099

Yiping Qiu , Chengming Li , Yiqun Zhang , Yuan Feng , Sergei Leonovich , Piqi Zhao , Shoude Wang

As one type of low-calcium cement, C₄A₃$-C₂S clinker consumes less energy and can utilize rich-MgO low-calcium limestone. The effect of rich-MgO low-calcium limestone on its calcination and properties is studied by means of f-CaO, XRD Rietveld refinement, TG-DTG and Lithofacies analysis. The results show that 3%∼5% MgO can promote the absorption of f-CaO and accelerate the formation of highly active monoclinic C₃S and C₄AF in clinker. When the MgO content is 7% and 8%, C₄A₃$-C₂S clinker calcined at 1380°C has excellent mechanical properties and its soundness is still qualified. This research shows that the rich-MgO low-calcium limestone can replace more than 50% of natural limestone to prepare C₄A₃$-C₂S clinker in cement industrial production.

作为低钙水泥的一种，C4A3$-C2S 熟料能耗较低，可利用富氧化镁低钙石灰石。通过f-CaO、XRD Rietveld细化、TG-DTG和Lithofacies分析，研究了富氧化镁低钙石灰石对其煅烧和性能的影响。结果表明，3%∼5%的氧化镁能促进 f-CaO 的吸收，并加速熟料中高活性单斜 C3S 和 C4AF 的形成。当氧化镁含量为 7%和 8%时，1380°C 煅烧的 C4A3$-C2S 熟料具有优异的力学性能，且其强度仍然合格。该研究表明，在水泥工业生产中，富氧化镁低钙石灰石可替代50%以上的天然石灰石制备C4A3$-C2S熟料。

引用次数: 0

Advancements in purification and holistic utilization of industrial by-product hydrogen: Progress, challenges, and prospects 工业副产品氢的提纯和综合利用取得进展：进展、挑战和前景

Green Energy and Resources

Pub Date : 2024-09-21 DOI: 10.1016/j.gerr.2024.100098

Xinyi Zhang , Xuemiao Qian , Chengbang Xiao , Xu Yin , Xin Wang , Zhe Wang , Hao Yu , Zongying Han , Leteng Lin

In the wake of a global shift towards sustainable energy and heightened environmental stewardship, hydrogen energy stands out as a clean and efficient alternative, drawing significant interest for its potential. Industrial by-product hydrogen (IBPH), a key source in the burgeoning hydrogen economy, is poised for growth during the early to mid-stages of hydrogen economy, but currently grapples with substantial wastage and suboptimal utilization due to technological barriers and insufficient attention. A critical examination of the purification and utilization technologies for IBPH is thus imperative, offering practitioners in the hydrogen domain the insights necessary for a more strategic and efficacious harnessing of this resource. The present review delivers an exhaustive survey of cutting-edge separation and purification techniques tailored for IBPH. Additionally, it encapsulates the latest advancements in utilization technologies of IBPH across diverse sectors, presenting a methodical compendium of current innovations. The discourse extends to a probing analysis of the prevailing challenges and envisions the prospective landscape of the IBPH marketplace.

在全球转向可持续能源和加强环境管理的背景下，氢能作为一种清洁高效的替代能源脱颖而出，其潜力备受关注。工业副产氢气（IBPH）是氢经济蓬勃发展的一个关键来源，在氢经济的早期和中期阶段有望实现增长，但目前由于技术障碍和关注不足，IBPH 正面临着大量浪费和利用率不高的问题。因此，对 IBPH 的纯化和利用技术进行批判性研究势在必行，这将为氢能领域的从业人员提供必要的洞察力，从而更有策略、更有效地利用这一资源。本综述详尽介绍了为 IBPH 量身定制的尖端分离和纯化技术。此外，它还囊括了不同领域中 IBPH 利用技术的最新进展，有条不紊地汇编了当前的创新成果。报告还对当前面临的挑战进行了深入分析，并展望了 IBPH 市场的前景。

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引用次数: 0

Co-incineration of multiple inorganic solid wastes towards clean disposal: Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning 多种无机固体废物的共焚化清洁处置：传热和传质建模、污染物生成以及基于机器学习的配比

Green Energy and Resources

Pub Date : 2024-09-01 DOI: 10.1016/j.gerr.2024.100086

Guanyi Chen , Guandong Chen , Jingwei Li , Queyi Pan , Daolun Liang , Jie Qiu , Xiqiang Zhao , Xiaojia Wang , Zhongshan Li , Xiangping Li , Xiaoling Ma , Shuang Wu , Yunan Sun

The co-disposal of solid waste by industrial kilns is presently attracting increasing attention. In this study, we investigate the co-disposal of solid waste, i.e. converter ash (CA), sintered ash (SA), blast furnace bag ash (BA), and municipal solid waste incineration fly ash (MSWIFA), under simulated blast furnace ironmaking conditions. The results show that it is feasible to use blast furnace to treat MSWIFA, but the stability of temperature field should be controlled in the process of co-disposal. With the increase of temperature, the conversion rate of NO decreased to 16.4%, and ZnFe₂O₄ became the main mineral composition, accounting for 75.53%. Corresponding to the flue gas corrosion condition of solid waste treatment, it is found that the corrosion resistance of the furnace material TH347H is better than 20G. Finally, based on the experimental data, the nested optimization algorithm of machine learning model is established to achieve the reverse output of optimal conditions. Overall, the study provides theoretical support and methodology guidance for the co-disposal of solid waste in blast furnaces in providing support for the further development of co-disposal of solid waste in industrial kilns.

目前，工业窑炉对固体废物的协同处置正引起越来越多的关注。本研究探讨了在模拟高炉炼铁条件下转炉灰（CA）、烧结灰（SA）、高炉布袋灰（BA）和城市固体废弃物焚烧飞灰（MSWIFA）等固体废弃物的协同处置。结果表明，利用高炉处理 MSWIFA 是可行的，但在协同处置过程中应控制温度场的稳定性。随着温度的升高，NO 的转化率降至 16.4%，ZnFe2O4 成为主要矿物成分，占 75.53%。与固废处理的烟气腐蚀条件相对应，发现炉料 TH347H 的耐腐蚀性优于 20G。最后，基于实验数据，建立机器学习模型的嵌套优化算法，实现最优条件的反向输出。总之，该研究为高炉固废协同处置提供了理论支持和方法指导，为工业窑炉固废协同处置的进一步发展提供了支持。

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引用次数: 0

Exploring the landscape of machine learning-aided research in biofuels and biodiesel: A bibliometric analysis 探索生物燃料和生物柴油领域机器学习辅助研究的前景：文献计量分析

Green Energy and Resources

Pub Date : 2024-09-01 DOI: 10.1016/j.gerr.2024.100089

Avinash Alagumalai, Hua Song

This bibliometric analysis explores machine learning applications in biofuels and biodiesel research using Elsevier's Scopus database from 2013 to 2023. The research employs co-authorship, co-occurrence, citation, and co-citation analyses with fractional counting. Results indicate a significant rise in publications. Prominent funding agencies along this field include the National Natural Science Foundation of China, Brazil's Conselho Nacional de Desenvolvimento Científico e Tecnológico and the U.S. Department of Energy. Co-authorship analysis reveals contributions from 268 authors across 951 organizations in 71 countries, with strong collaboration in Asia. Citation analysis shows that 95% of articles have received at least one citation, with China and the United States leading in citation counts. This study highlights the interdisciplinary and collaborative nature of machine learning research in biofuels and biodiesel, driven by substantial contributions from key funding bodies and researchers worldwide.

本文献计量学分析利用爱思唯尔的 Scopus 数据库，探讨了机器学习在生物燃料和生物柴油研究中的应用，时间跨度为 2013 年至 2023 年。研究采用了共同作者、共同出现、引用和共同引用分析以及分数计数。结果表明，论文数量大幅增加。该领域的主要资助机构包括中国国家自然科学基金委员会、巴西国家科学与技术发展委员会和美国能源部。合著分析显示，共有来自 71 个国家 951 个组织的 268 位作者发表了论文，其中亚洲的合作尤为紧密。引用分析表明，95% 的文章至少被引用过一次，其中中国和美国的引用次数最多。这项研究凸显了生物燃料和生物柴油领域机器学习研究的跨学科性和合作性，这主要得益于全球主要资助机构和研究人员的大量贡献。

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引用次数: 0