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A novel approach to improving refrigeration cycle performance: using a two-stage intermediary heat exchanger and ultrasonic humidifying system along with economic analyses 一种改进制冷循环性能的新方法:采用两级中间热交换器和超声加湿系统并进行经济分析
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-10 DOI: 10.1016/j.enconman.2026.121198
Amin Jodat, Mojtaba Najafian, Amin Emamian, Babak Erfan Manesh, Mohammad Sheykhi, Shunmin Zhu
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引用次数: 0
Dielectric characterisation of solar salt for volumetric heating applications in Power-to-Heat-to-Power systems 电对热对电系统中体积加热应用的太阳能盐的介电特性
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-10 DOI: 10.1016/j.enconman.2026.121205
C. Valverde, G. Link, S. Soldatov, J.M. Catalá-Civera, P. Plaza-González, G. Dimitrakis, B. Singh, A. Cachot, L. Del Campo, M. Malki, M.M. Rodriguez-Garcia, E. Rojas
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引用次数: 0
Optimising the transition of Swedish energy systems through sector coupling of power and district heating 通过电力和区域供热的部门耦合优化瑞典能源系统的过渡
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-10 DOI: 10.1016/j.enconman.2026.121165
Mohammad Saeid Atabaki, Helge Averfalk, Kristian Widén, Erik Möllerström, Henrik Gadd, Urban Persson
The future energy systems dominated by variable renewable energy sources require system flexibility for balancing fluctuating supply and demand. This study is motivated by the need to investigate how sector coupling between the power and district heating sectors can enhance flexibility. It is hypothesised that a partially disaggregated sector-coupling approach can efficiently capture interactions between energy generation, conversion, and storage technologies. A mathematical optimisation framework is developed to analyse cost-optimal and environmentally benign energy system transitions in Sweden up to 2050. The model accounts for the ten largest Swedish district heating systems integrated within the national power system. Results reveal that wind turbines, with a 56% share, supported by electricity storage dominate electricity generation in 2050. Electricity storage enables demand to be met with 7% lower installed power generation capacity. The resulting generation mix drives a shift in district heating supply, with the heat generation share of combined heat and power plants declining to 24% and that of heat pumps increasing to 61% by 2050. Seasonal thermal storage systems play an important role in this shift, supplying 11% of district heating demand. However, transitions towards low-temperature district heating reduce the seasonal storage share while further favouring heat pumps (up to 80% of heat generation). Increased availability of stable waste heat for direct district heating supply also diminishes the role of seasonal heat storage. Overall, the results highlight that district heating provides a flexibility service for the energy system, but multiple flexibility solutions are needed to fully exploit electricity oversupply.
以多变的可再生能源为主导的未来能源系统需要系统的灵活性来平衡波动的供需。本研究的动机是需要调查电力和区域供热部门之间的部门耦合如何提高灵活性。假设部分分解的部门耦合方法可以有效地捕获能源生成、转换和存储技术之间的相互作用。开发了一个数学优化框架来分析瑞典到2050年的成本优化和环境友好型能源系统转型。该模型考虑了整合在国家电力系统中的十个最大的瑞典区域供热系统。结果显示,到2050年,由电力储存支持的风力涡轮机将以56%的份额主导发电。电力存储能够以7%的装机容量来满足需求。由此产生的发电组合推动了区域供热供应的转变,到2050年,热电联产电厂的产热份额下降到24%,热泵的产热份额增加到61%。季节性储热系统在这一转变中发挥了重要作用,提供了11%的区域供热需求。然而,向低温区域供热的过渡减少了季节性储存份额,同时进一步有利于热泵(高达80%的热量产生)。增加可用的稳定余热直接区域供热供应也减少了季节性储热的作用。总体而言,结果强调区域供热为能源系统提供了灵活的服务,但需要多种灵活的解决方案来充分利用电力供应过剩。
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引用次数: 0
Exposing the hidden inefficiencies of electric quadricycles: An exergy-based analysis of real-world HVAC and battery thermal management under extreme weather conditions 揭露电动四轮车隐藏的低效率:在极端天气条件下对现实世界HVAC和电池热管理的基于火用的分析
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-10 DOI: 10.1016/j.enconman.2026.121214
Barbara Mendecka, Simone Lombardi, Laura Tribioli, Daniele Chiappini
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引用次数: 0
Heat integration aspects of exothermic biomethanation ─ A pilot reactor with shell-and-tube heat exchange capability 放热生物甲烷化的热集成方面─具有管壳换热能力的中试反应器
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-09 DOI: 10.1016/j.enconman.2026.121168
Nicolaas Engelbrecht, Herald W. Ambrose, Mads U. Sieborg, Michael V.W. Kofoed
Biomethane (CH4) production from green hydrogen (H2) is a renewable replacement for fossil natural gas. As in the case of other hydrogenation reactions, the methanation of CO2 for biomethane production is an exothermic process, which produces heat equivalent to 23% of the converted H2′s heating value (HHV). During the scaling and advancement of technology readiness of trickle-bed biomethanation, exothermic heat production has become apparent and needs addressing via suitable experimental development to achieve stable thermal operation. This work presents the integration of an internal heat exchanger into a pilot-scale trickle-bed reactor for the biomethanation of raw biogas as CO2 source. Without heat integration, the performance of the reactor tested was limited to a specific CH4 productivity of 6.9 NLCH4 LR-1 d-1, with a severe axial temperature gradient not optimal for stable thermal operation. With the active use of the heat exchanger and a feed gas pre-heating stage, the CH4 productivity was enhanced up to 13.4 NLCH4 LR-1 d-1, with a much smaller temperature gradient (48–71°C). In the future, other external off-takers that utilize the produced reaction heat will contribute to higher overall biomethanation efficiencies. This paper therefore also presents three energy balance scenarios (i.e. theoretical, pilot experimental, and future industry-scale) that exemplify the requirements and opportunities of heat-integrated biomethanation.
绿色氢(H2)生产生物甲烷(CH4)是化石天然气的可再生替代品。与其他加氢反应一样,用于生产生物甲烷的CO2甲烷化是一个放热过程,其产生的热量相当于转化H2热值(HHV)的23%。在滴流床生物甲烷化的规模化和技术成熟度提升过程中,放热产热问题已经显现出来,需要通过适当的实验开发来解决,以实现稳定的热运行。这项工作提出了一个内部热交换器集成到一个中试规模滴床反应器中,用于原料沼气作为二氧化碳源的生物甲烷化。在没有热集成的情况下,所测试的反应器的CH4生产率被限制在6.9 NLCH4 LR-1 d-1,轴向温度梯度严重,不适合稳定的热运行。通过积极使用换热器和原料气预热阶段,CH4产率提高到13.4 NLCH4 LR-1 d-1,温度梯度(48-71°C)大大减小。在未来,利用产生的反应热的其他外部吸收物将有助于提高总体生物甲烷化效率。因此,本文还提出了三种能量平衡情景(即理论,试点实验和未来工业规模),以举例说明热集成生物甲烷化的需求和机会。
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引用次数: 0
Big data-driven optimization framework for solar cell design 大数据驱动的太阳能电池设计优化框架
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-09 DOI: 10.1016/j.enconman.2026.121175
Nur Amilya Zainul Asri, Mohammad Shaheer Akhtar, Seung Beop Lee
This work presents a simulation-driven, constraint-aware optimization framework for the systematic design of crystalline silicon solar cells. The proposed framework integrates automated large-scale device simulation with explicit feasibility filtering and objective-function evaluation to identify optimal design configurations within a predefined parameter space. A high-resolution simulation dataset comprising 14,641 design cases was generated using PC1D to capture performance trends with respect to key structural and electrical parameters. The optimal configuration identified through the proposed workflow achieved a conversion efficiency of 29.39% under the specified simulation conditions. To assess robustness, a subset of corresponding cases was independently evaluated using SCAPS, demonstrating consistent convergence to the same optimal design and confirming trend-level agreement across different simulation environments. It is emphasized that the proposed framework is demonstrated and validated exclusively for crystalline silicon solar cells in this study. The reported performance values represent deterministic simulation outcomes dependent on simulator assumptions, and experimental fabrication-level validation is required for practical deployment. The term “large-scale dataset” refers to a high-resolution simulation-driven design-space exploration rather than a machine-learning-scale dataset. Accordingly, the framework should be interpreted as a decision-support and trend-based optimization tool that can guide device-level design prior to fabrication, rather than as an absolute predictor of real-world performance or a turnkey solution for immediate deployment.
这项工作提出了一个模拟驱动的约束感知优化框架,用于晶体硅太阳能电池的系统设计。该框架将自动化大规模设备仿真与显式可行性滤波和目标函数评估相结合,以在预定义的参数空间内识别最佳设计配置。使用PC1D生成了包含14,641个设计案例的高分辨率模拟数据集,以捕获有关关键结构和电气参数的性能趋势。在指定的仿真条件下,通过所提出的工作流确定的最优配置的转换效率为29.39%。为了评估鲁棒性,使用SCAPS独立评估了相应案例的子集,证明了相同优化设计的一致性收敛性,并确认了不同模拟环境的趋势水平一致性。值得强调的是,在本研究中,所提出的框架仅针对晶体硅太阳能电池进行了演示和验证。报告的性能值代表了依赖于模拟器假设的确定性模拟结果,并且需要实验制造级别的验证才能进行实际部署。“大规模数据集”指的是高分辨率模拟驱动的设计空间探索,而不是机器学习规模的数据集。因此,该框架应该被解释为决策支持和基于趋势的优化工具,可以在制造之前指导设备级设计,而不是作为真实性能的绝对预测器或立即部署的交钥匙解决方案。
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引用次数: 0
Impact of distributed battery energy storage controlled by optimization-based home energy management systems implementing various objective functions on the voltage profiles in the low-voltage network with a high saturation of prosumer photovoltaic micro-installations 实现多种目标函数的基于优化的家庭能源管理系统控制分布式电池储能对产消级光伏微装置高饱和低压电网电压分布的影响
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-08 DOI: 10.1016/j.enconman.2026.121148
Roman Korab, Marcin Połomski, Marcin Smołka, Tomasz Naczyński
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引用次数: 0
Experimental and numerical investigations of water–ice phase change under non-uniform cold source configurations 非均匀冷源配置下水冰相变的实验与数值研究
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-07 DOI: 10.1016/j.enconman.2026.121163
Qingyu Yang, Tao Yang, Wenqiang Zhang, Jun Shen
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引用次数: 0
Energy modeling and performance of volumetric 3D printing for multi-material efficient production 多材料高效生产的体积3D打印的能量建模和性能
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-07 DOI: 10.1016/j.enconman.2026.121186
Zhisi Xie, Zuke Yiyang, Jiaochang Wu, Yongchao Liao, Yan’e Gao, Kee-hung Lai, Wei Cai
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引用次数: 0
Experimental characterization and analysis of phase change material-based thermal energy storage system for refrigerated display case 基于相变材料的冷藏陈列柜蓄热系统的实验表征与分析
IF 10.4 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-02-06 DOI: 10.1016/j.enconman.2026.121143
Ravi Anant Kishore, Jason Woods, Yana Galazutdinova, Monica Cook, Said Al-Hallaj, Kyle Foster, Ramin Faramarzi
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Energy Conversion and Management
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