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Optimizing enclosure geometry for enhanced energy conversion in flow-induced piezoelectric energy harvesters 优化流动感应压电能量收集器中增强能量转换的外壳几何形状
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-29 DOI: 10.1016/j.energy.2026.140241
Aamir Naveed , Emad Uddin , Usman Latif , M. Yamin Younis , Zaib Ali , Hafiz Mohammad Mutee ur Rehman , Muhammad Mahad Shah , Muhammad Abdullah Zafar Ghauri , Bilal Akbar Chuddher
This study experimentally investigates the optimization of enclosure geometry to enhance the performance of a flow-induced flag-based flexible piezoelectric energy harvester operating in confined environments. A piezoelectric energy harvester is mounted downstream of a bluff body within a four-sided rectangular enclosure, and the influence of enclosure aspect ratio (A∗) is systematically examined over the range of 0.25 ≤ A∗ ≤ 1. Three cylindrical bluff body variants, including circular, C-shape, and inverted C-shape, are employed in this study to induce wake structures. The resulting wake features are quantified through particle image velocimetry measurements under varying enclosure aspect ratios. Concurrently, the harvester's flapping response and corresponding power output are evaluated across various flow velocities and stream-wise gaps. The results demonstrate that wake structure and energy harvesting efficiency are highly responsive to variations in the enclosure's aspect ratio and bluff body geometry. The inverted C-shape cylinder consistently exhibited superior energy harvesting performance on all enclosure configurations. The aspect ratio A∗ = 0.75 is identified as the optimal configuration for inverted C-shape and circular cylinders, whereas A∗ = 1 yields the highest power output for the C-shape cylinder. In contrast, significant power reductions are recorded at aspect ratio A∗ = 0.25. This study provides design-oriented insights for optimizing enclosure geometry and establishes practical guidelines for embedding piezoelectric energy harvesters in ducts, pipelines, and ventilation systems where confined flows are inevitable.
实验研究了优化外壳几何形状以提高在受限环境下工作的流动诱导旗基柔性压电能量采集器的性能。压电能量采集器安装在一个四边矩形外壳内的断续体下游,并在0.25≤A∗≤1的范围内系统地检查了外壳宽高比(A∗)的影响。本文采用三种圆柱形钝体,包括圆形、c形和倒c形来诱导尾流结构。由此产生的尾迹特征是量化通过粒子图像测速测量在不同的外壳长宽比。同时,收割机的扑动响应和相应的功率输出在不同的流速和流向间隙进行了评估。结果表明,尾流结构和能量收集效率对机壳宽高比和钝体几何形状的变化有很高的响应。倒c形圆柱体在所有外壳配置中始终表现出优越的能量收集性能。宽高比A∗= 0.75被确定为倒c形圆柱体和圆形圆柱体的最佳配置,而A∗= 1为c形圆柱体产生最高的输出功率。相比之下,当纵横比A * = 0.25时,功率显著降低。这项研究为优化外壳几何形状提供了以设计为导向的见解,并为在管道、管道和通风系统中嵌入压电能量收集器建立了实用指南,这些系统中限制流动是不可避免的。
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引用次数: 0
Optimal operation scheduling of water-energy nexus multi-microgrid systems integrated with energy storage systems and renewable energy 结合储能系统和可再生能源的水能联系多微网系统优化调度
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.energy.2026.140221
Hamid Karimi
This paper proposed sustainable economic scheduling for water-multi-microgrid systems. In this structure, the neighbor microgrids cooperate together to simultaneously decrease the operation cost, carbon capture, and underground water extraction. The microgrids integrate distributed generation, battery energy storage systems, microturbines, fuel cells, diesel generators, and demand-side management to supply the needed energy for their consumers. In this cooperation model, microgrids are able to directly share the production units and direct energy trading among microgrids is possible. To consider the uncertainty of renewable generation and load demands, a hybrid robust-stochastic framework is applied to model to model the random nature of input parameters. Also, the water storage tank and desalination unit are incorporated into the multi-microgrid system to meet the needed freshwater by underground water resources and seawater. Also, a group decision-making framework is introduced to consider the viewpoint of neighbor microgrids to find the optimal solution. The presented approach is evaluated on both islanded and grid-connected multi-microgrid systems and numerical results show that the grid-connected mode reduces the operation cost of microgrids by $ 185.5, $ 153.82, and $ 81.94 by stochastic, robust, and hybrid models, respectively.
提出了水-多微电网系统的可持续经济调度方案。在这种结构中,相邻的微电网相互合作,同时降低运营成本、碳捕获和地下水提取。微电网集成了分布式发电、电池储能系统、微型涡轮机、燃料电池、柴油发电机和需求侧管理,为消费者提供所需的能源。在这种合作模式下,微电网可以直接共享发电机组,实现微电网间的直接能源交易。为考虑可再生能源发电和负荷需求的不确定性,采用鲁棒-随机混合框架对输入参数的随机性进行建模。并将储水箱和海水淡化装置并入多微网系统,通过地下水资源和海水来满足所需的淡水。同时,引入群体决策框架,考虑相邻微电网的观点,寻找最优解。在孤岛型和并网型多微电网系统上对该方法进行了评估,数值结果表明,在随机、鲁棒和混合模型下,并网模式分别使微电网的运行成本降低了185.5美元、153.82美元和81.94美元。
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引用次数: 0
Systematic optimization of hydrogen blending locations in natural gas pipeline networks for comprehensive satisfaction maximization 天然气管网配氢位置的系统优化,实现综合满意度最大化
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.energy.2026.140096
Jun Zhou, Yue Wu, Shitao Liu, Jiaxing Zhu, Guangchuan Liang, Xinyue Chen
Hydrogen blending (HB) in natural gas pipelines represents the most economical method for long-distance, large-scale hydrogen transport. However, blending hydrogen alters gas composition, calorific value, and operational conditions. Terminal users and pipeline operators exhibit varying levels of satisfaction with these changes. To address this, factors such as user satisfaction (U-SAT), pipeline hydrogen flow satisfaction (Pflo-SAT), and pipeline pressure drop satisfaction (Pdro-SAT) must be considered when selecting optimal HB points in multi-source natural gas networks (NGN). A hydrogen blending locations optimization model based on comprehensive satisfaction (CSModel) is proposed. The model analyzes optimal hydrogen blending locations (HBL) under different satisfaction indicators and evaluates how variations in satisfaction weight coefficients affect comprehensive satisfaction (C-SAT). Using Belgian 20-node NGN as a case study, the analysis examines blending point selection under different satisfaction metrics. Results show that Pflo-SAT aligns with U-SAT, favoring reduced HB into the network, while opposing Pdro-SAT. Additionally, Pdro-SAT has the greatest impact on C-SAT, followed by Pflo-SAT, with U-SAT having the least influence.
天然气管道配氢是长距离、大规模输氢的最经济的方法。然而,混合氢气会改变气体成分、热值和操作条件。终端用户和管道运营商对这些变化表现出不同程度的满意度。为了解决这个问题,在选择多源天然气网络(NGN)的最佳HB点时,必须考虑用户满意度(U-SAT)、管道氢气流量满意度(Pflo-SAT)和管道压降满意度(ppro - sat)等因素。提出了一种基于综合满意度的配氢地点优化模型(CSModel)。该模型分析了不同满意度指标下的最优配氢地点(HBL),并评估了满意度权重系数的变化对综合满意度(C-SAT)的影响。以比利时20节点NGN为例,分析了不同满意度指标下的融合点选择。结果表明,pfo - sat与U-SAT一致,有利于将HB还原到网络中,而ppro - sat则相反。此外,ppro - sat对C-SAT的影响最大,其次是Pflo-SAT, U-SAT的影响最小。
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引用次数: 0
An efficient hybrid power generation system by integrating the biomass-fueled gas turbine with existing coal-fired power plants 一个高效的混合发电系统,将生物质燃料燃气轮机与现有的燃煤电厂相结合
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.energy.2026.140172
Tuantuan Xin, Yiwen Kuai, Long Wan, Weifeng Li, Cheng Xu
To enhance the biomass utilization efficiency and cut down the carbon footprint, a novel hybrid power generation system is proposed, which innovatively integrates biomass gasification with a gas turbine and an existing coal-fired power plant. In the proposed system, the raw syngas derived from biomass gasification is cooled by transferring thermal energy to the feedwater streams of the coal-fired unit. The cleaned syngas is exploited by a gas turbine for power generation, then the exhaust is further employed to heat the secondary air and the feedwater in cascade. Comprehensive energy and exergy analyses of the proposed system have been conducted and results indicate that the equivalent energy and exergy efficiencies of biomass-to-electricity soar to 54.28 % and 45.82 %, respectively. Moreover, further system modification has been developed, revealing that the corresponding efficiencies of the modified hybrid system increase by 0.51 % and 0.42 % points, respectively. Regarding the carbon reduction effect, attributable to the inherent carbon neutrality of biomass, the CO2 emission intensity of the hybrid system decreases by 265.23 g/kWh (34.83 %). Economic analysis shows that the levelized cost of electricity of the biomass power generation in the hybrid system is reduced by 5.43 $/MWh with higher net present value and shorter dynamic payback period compared with the reference biomass integrated gasification combined cycle. This work offers a new approach to the efficient biomass power generation and highlights biomass as a potential alternative fuel to reduce coal consumption.
为了提高生物质利用效率,减少碳足迹,提出了一种新型的混合发电系统,该系统将生物质气化与燃气轮机和现有燃煤电厂创新地结合在一起。在提出的系统中,来自生物质气化的原料合成气通过将热能传递到燃煤机组的给水流来冷却。净化后的合成气由燃气轮机进行发电,然后废气进一步用于加热二次空气和梯级给水。对该系统进行了综合能量和火用分析,结果表明,生物质发电的等效能量和火用效率分别达到54.28%和45.82%。此外,对系统进行了进一步的改进,改进后的混合动力系统的效率分别提高了0.51%和0.42%。在碳减排效果方面,由于生物质固有的碳中性,混合动力系统的CO2排放强度降低了265.23 g/kWh(34.83%)。经济分析表明,与参考生物质综合气化联合循环相比,混合系统生物质发电平准化电力成本降低5.43美元/兆瓦时,净现值更高,动态投资回收期更短。这项工作为高效生物质发电提供了一条新途径,并突出了生物质作为减少煤炭消耗的潜在替代燃料。
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引用次数: 0
The synergy effect analysis of the green certificate-carbon bidirectional joint market based on the dynamic feedback of power producers and consumers 基于电力生产者和消费者动态反馈的绿色证书-碳双向联合市场协同效应分析
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.energy.2026.140207
Ning Ma , Lurong Fan , Qunli Yuchi
With the global trend of carbon neutrality, the market linkage between the carbon market and the green certificate market has drawn considerable attention. However, the market cooperation in China is facing significant challenges, as the green certificate market lacks vitality, and disputes persist over the carbon reduction effect. Meanwhile, the participation of energy-consuming enterprises has been less frequently considered in existing research. Therefore, this paper focuses on the green certificate-carbon bidirectional joint market, which includes both power producers and energy consumers, and analyzes its systematic effects on carbon emissions, renewable energy utilization, and economic benefits by a dynamic multi-agent and multi-stage interaction model. The scenario comparisons under different market mechanisms indicate that: (1) The Renewable Portfolio Standard (RPS) mechanism can definitely subsidize renewable energy generation, but the additional green power generation needs the consumption requirement weight α exceed the ratio of the existing power generation to the power purchased by quota enterprises. (2) The green certificate-carbon quota conversion (GCC) mechanism under a voluntary green certificate market may have negative effects on the actual systematic carbon reduction. (3) Compared with a single carbon quota limitation, the combination of RPS and GCC can improve systematic carbon reduction by approximately 0.16C1.03% and economic benefits by around 0.5C3%. And the coordination of appropriate policy indicators is a key prerequisite.
随着全球碳中和的趋势,碳市场与绿色证书市场之间的市场联动备受关注。然而,由于绿色证书市场缺乏活力,对碳减排效果的争议持续存在,中国的市场合作面临着重大挑战。同时,在现有的研究中,对耗能企业的参与考虑较少。因此,本文以包括电力生产者和能源消费者在内的绿色证书-碳双向联合市场为研究对象,采用动态多主体多阶段交互模型,分析了绿色证书-碳双向联合市场对碳排放、可再生能源利用和经济效益的系统影响。不同市场机制下的情景对比表明:(1)可再生能源投资组合标准(RPS)机制对可再生能源发电具有一定的补贴作用,但新增的绿色发电需要的消费需求权重α大于现有发电量与配额企业购买电量的比值。(2)自愿绿色证书市场下的绿色证书-碳配额转换(GCC)机制可能对实际的系统性碳减排产生负面影响。(3)与单一碳配额限制相比,RPS与GCC的结合可提高系统碳减排约0.16 ~ 1.03%,经济效益约0.5 ~ 3%。协调适当的政策指标是一个关键的先决条件。
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引用次数: 0
Source-free unsupervised cross-condition capacity prediction of lithium-ion batteries based on adversarial differences and temporal consistency 基于对抗性差异和时间一致性的锂离子电池无源无监督交叉状态容量预测
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.energy.2026.140203
Xinyu Dong, Yao Wang, Jingyi Xie, Lifeng Wu
Accurately predicting lithium-ion battery capacity is indispensable for ensuring the safety and reliability of the battery management system (BMS). However, the domain shift problem caused by cross-operating conditions seriously affects the prediction performance of the model. While transfer learning (TL) can enhance performance, traditional methods require simultaneous access to source and target data (raising privacy concerns) and rely on costly target labels. To address these challenges, we propose SFU-ATA, a novel source-free unsupervised domain adaptation framework that synergizes adversarial alignment with temporal consistency. First, we design a serial ECNN-Transformer hybrid architecture to capture multi-scale degradation features. Second, a dual-predictor adversarial strategy is employed to align feature distributions by alternately maximizing and minimizing prediction differences. Finally, a temporal feature reconstructor is introduced to enforce temporal dynamic alignment via a self-supervised masked reconstruction task. Validations conducted on the MIT dataset reveal that our suggested approach is superior to non-adaptive baseline approaches and unsupervised domain adaptation methods transferred from other domains, thereby validating its effectiveness.
准确预测锂离子电池容量对于保证电池管理系统(BMS)的安全性和可靠性至关重要。然而,交叉工况引起的域漂移问题严重影响了模型的预测性能。虽然迁移学习(TL)可以提高性能,但传统方法需要同时访问源数据和目标数据(引起隐私问题),并依赖于昂贵的目标标签。为了解决这些挑战,我们提出了一种新的无源无监督域自适应框架SFU-ATA,它将对抗性对齐与时间一致性协同起来。首先,我们设计了一个串行ECNN-Transformer混合架构来捕获多尺度退化特征。其次,采用双预测器对抗策略,通过交替最大化和最小化预测差异来对齐特征分布。最后,引入时间特征重构器,通过自监督掩码重构任务实现时间动态对齐。在MIT数据集上进行的验证表明,我们提出的方法优于非自适应基线方法和从其他领域转移过来的无监督领域自适应方法,从而验证了其有效性。
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引用次数: 0
From crude to green: Exploring energy indicators and sustainability nexus through wavelet quantile correlation 从原油到绿色:利用小波分位数相关性探讨能源指标与可持续性关系
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.energy.2026.140223
Ummara Razi , Calvin W.H. Cheong , Arshian Sharif , Sahar Afshan
This study applied wavelet quantile correlation analysis to explore the relationship between oil prices, oil volatility, and sustainable financial metrics, covering data from September 2013 to October 2023. The findings reveal a positive correlation between oil prices and sustainable financial instruments across various time horizons, such as sustainability indices and clean energy stocks. However, in the short term, a negative correlation with environmental and social responsibility indices emerges, suggesting firms prioritize immediate profits over environmental goals. This shifts positively in the long run, indicating a strategic move towards sustainability. The study also uncovers an initially positive but eventually negative relationship between oil prices and green bond investments, reflecting changing priorities under high oil prices. These insights are crucial for developing policies that align energy market dynamics with sustainable development goals. With wavelet quantile correlation, the study offers a fresh and underexplored perspective in this research area.
本研究应用小波分位数相关分析探讨了油价、石油波动性和可持续金融指标之间的关系,涵盖了2013年9月至2023年10月的数据。研究结果显示,在不同的时间范围内,油价与可持续金融工具之间存在正相关关系,比如可持续指数和清洁能源股票。然而,在短期内,与环境和社会责任指数出现负相关,表明企业优先考虑眼前利润而不是环境目标。从长远来看,这种转变是积极的,表明了朝着可持续发展的战略举措。该研究还揭示了油价与绿色债券投资之间最初为正但最终为负的关系,反映了高油价下优先事项的变化。这些见解对于制定使能源市场动态与可持续发展目标保持一致的政策至关重要。基于小波分位数相关性的研究为该领域的研究提供了一个新的视角。
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引用次数: 0
A high-fuel tolerance SOFC-GT-SE hybrid power generation system considering the impact of carbon deposition: techno-economic analysis and multi-objective optimization 考虑积碳影响的高油耗SOFC-GT-SE混合发电系统:技术经济分析与多目标优化
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.energy.2026.140184
Yiyu Chen, Junming Lu, Yongchen Huo, Jianghai Xu, Yuanli Liu, Zizhang Zhan, Taiming Huang, Zhongmin Wan
Under the “dual carbon” goals, biomass energy, as a carbon-neutral renewable energy source, offers significant benefits in gasification technology. However, its fuel composition exhibits substantial variability, posing a severe challenge to the adaptability of energy systems. This research, based on the principle of thermal self-balance, designed a hybrid power generation system combining SOFC, GT, and SE, with high fuel tolerance. Key factors affecting carbon deposits and system performance were found using sensitivity analysis. The improved multi-objective red fox optimization algorithm was used to optimize the system's equipment capacity and operating parameters from the perspectives of energy efficiency, environmental impact, and economics. Results indicated rated energy efficiency at 70.7 % and exergy efficiency at 68.04 %, with improvements of 15.71 % and 15.07 %. The IIC were reduced by 18.86 %, and EIP decreased by 11.79 %. Power matching under variable loads was performed leveraging high fuel tolerance. This revealed the intrinsic mechanism by which fuel components, through their influence on reforming reactions, electrochemical processes, and thermal balance, drive the redistribution of power across components, leading to an optimized power curve. The LCA revealed that operating with natural gas until 2045 yielded a NPV of 0.0489$/kW, LCOE of 1050($'000), and IIR of 0.2366, showing strong economic benefits. Biogas and biomass gas, based on the “carbon neutrality” principle, had carbon emissions of only 26 and 36 g/kWh, with EIL values as low as 238 and 314, highlighting their low-carbon advantages.
在“双碳”目标下,生物质能作为一种碳中和的可再生能源,在气化技术方面具有显著的优势。然而,其燃料组成表现出很大的可变性,对能源系统的适应性提出了严峻的挑战。本研究基于热自平衡原理,设计了一种高燃油容忍度的SOFC、GT、SE相结合的混合发电系统。利用敏感性分析找到了影响积碳和系统性能的关键因素。采用改进的多目标红狐优化算法,从能效、环境影响和经济性三个方面对系统的设备容量和运行参数进行优化。结果表明:额定能源效率为70.7%,火用效率为68.04%,分别提高了15.71%和15.07%。IIC降低18.86%,EIP降低11.79%。利用高的燃油容忍度,实现了变负荷下的功率匹配。这揭示了燃料组分通过其对重整反应、电化学过程和热平衡的影响,驱动功率在各组分之间的重新分配,从而导致优化的功率曲线的内在机制。LCA显示,到2045年,使用天然气的净现值为0.0489美元/千瓦,LCOE为1050美元,IIR为0.2366,显示出强大的经济效益。基于“碳中和”原则,沼气和生物质气的碳排放量仅为26和36 g/kWh, EIL值低至238和314,低碳优势突出。
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引用次数: 0
Combustion and emission characteristics of stratified premixed and diffusion modes in direct-injection ammonia-hydrogen SI engines 氨氢直喷发动机分层预混和扩散模式燃烧与排放特性
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.energy.2026.140166
Anqi Song , Jinguang Li , Zifan Lian , Zhancheng Dou , Haiqiao Wei , Jiaying Pan
Ammonia-hydrogen spark-ignition engines offer a promising zero-carbon pathway, but the combustion behavior associated with direct ammonia injection remains insufficiently understood. This study performs a comprehensive investigation of stratified premixed combustion (SPC) and diffusion combustion (DC) modes in an ammonia-hydrogen engine with direct ammonia injection. Results demonstrate that the two modes display different combustion mechanisms: SPC promotes near-simultaneous burning of the premixed NH3-H2 mixture, whereas DC follows a hydrogen-ignited two-stage combustion pathway that accelerates ammonia oxidation and shifts combustion phasing. These differences govern the contrasting trends of indicated thermal efficiency (ITE) and pollutant emissions. Optimization of SPC through advanced ignition and dual post-injection strategies increases the ITE to 40.1 % while simultaneously reducing NH3, NO, and N2O emissions. For the DC mode, a 30 % dual pre-injection mass split achieves the best compromise between ITE and pollution emissions, reducing unburned NH3 and NO by 32.4 % and 62.6 %, respectively, compared with the baseline SPC, at a cost of only 0.36 % efficiency penalty. These findings demonstrate a dual-mode control strategy that enables switching between a high-efficiency/low-N2O mode (optimized SPC) and a low-NO/low-NH3 mode (optimized DC), providing new guidance for flexible combustion control in ammonia-fueled engines.
氨氢火花点火发动机提供了一种很有前途的零碳途径,但与直接氨喷射相关的燃烧行为仍然不够清楚。本研究对直接喷氨的氨氢发动机分层预混燃烧(SPC)和扩散燃烧(DC)模式进行了全面的研究。结果表明,两种燃烧模式表现出不同的燃烧机制:SPC促进预混合NH3-H2混合物的几乎同时燃烧,而DC遵循氢点燃的两阶段燃烧路径,加速氨氧化并改变燃烧相位。这些差异决定了指示热效率(ITE)和污染物排放的对比趋势。通过先进的点火和双后喷射策略优化SPC,将ITE提高到40.1%,同时减少NH3, NO和N2O的排放。对于直流模式,30%的双预喷射质量分割在ITE和污染排放之间实现了最佳折衷,与基准SPC相比,未燃烧的NH3和NO分别减少了32.4%和62.6%,而效率损失仅为0.36%。这些发现证明了一种双模式控制策略,可以在高效/低n2o模式(优化的SPC)和低no /低nh3模式(优化的DC)之间切换,为氨燃料发动机的灵活燃烧控制提供了新的指导。
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引用次数: 0
Flow characteristics of high-water-content heavy oil-water mixtures in pipeline transport: experimental investigation and engineering implications 管道输送中高含水稠油-水混合物的流动特性:实验研究及工程意义
IF 9.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.energy.2026.140193
Xingshen Sun , Ning Wang , Lei Hou , Xuepeng Liu , Angxuan Gu
High-water-content heavy oil-water mixtures (HWHO) have become widespread in produced fluids during the late stage of heavy oil development, posing significant challenges to effective viscosity (EV) measurement and adhesion temperature (AT) determination under pipeline transport conditions. In this study, a novel high- and low-speed stirring method (HLSSM) was proposed, which utilizes the short window period of coarse oil-water dispersion after high-speed stirring to enable viscosity measurements at low speeds. Comparative experiments demonstrate that HLSSM shares the advantages of simple operation and continuous measurement with viscometer while overcoming the inapplicability of current stirred tank methods to HWHO. Validation against flow loop measurements shows that HLSSM achieves an average relative deviation of less than 5 %, while significantly reducing experimental complexity and costs. Based on the experimental results, a prediction model for the EV of HWHO was developed and validated, achieving an average relative deviation of 5.3 % and outperforming existing mixture viscosity models. Furthermore, the AT estimated from the stirring-based simulation provides a practical guideline for flow loop testing, suggesting that the initial operating temperature can be set 8 °C above the anticipated AT to reduce the testing duration. The study offers a practical and cost-effective framework for evaluating the flow characteristics of HWHO, with potential benefits for improving pipeline transport efficiency and reducing heating energy consumption and associated carbon emissions during the late stage of heavy oil development.
在稠油开发后期,高含水稠油-水混合物(HWHO)在采出液中广泛存在,给管道输送条件下的有效粘度(EV)测量和黏附温度(AT)测定带来了重大挑战。本文提出了一种新型的高低速搅拌方法(HLSSM),该方法利用高速搅拌后粗油水分散的短窗口期来实现低速下的粘度测量。对比实验表明,该方法具有操作简单、粘度计连续测量等优点,克服了现有搅拌槽方法对HWHO的不适用性。对流量环测量的验证表明,HLSSM的平均相对偏差小于5%,同时显著降低了实验复杂性和成本。基于实验结果,建立并验证了HWHO混合粘度EV预测模型,平均相对偏差为5.3%,优于现有混合粘度模型。此外,从基于搅拌的模拟中估计的AT为流动回路测试提供了实用的指导,建议将初始工作温度设置在比预期AT高8°C以缩短测试时间。该研究为评估HWHO的流动特性提供了一个实用且具有成本效益的框架,对于提高管道输送效率、降低稠油开发后期的加热能耗和相关碳排放具有潜在的好处。
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