Renewable Energy最新文献_第9页

Nanostructure-enabled current matching improvement in 3D layer-engineered all-perovskite tandem solar cells 纳米结构在三维层工程全钙钛矿串联太阳能电池中的电流匹配改进

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-08 DOI: 10.1016/j.renene.2026.125220

Ali Akbar Haji Zeynali Biyoki , Mehrshad Masoudi , Maryam Shahrostami , Javad Maleki

This research proposes a novel all-perovskite tandem solar cell structure, investigated using finite element method simulations, and incorporating V₂O₅-CIGS core-shell structures in the bottom subcell to significantly improve performance and eliminate current mismatch between subcells. The reference structure initially had a J_sc of 14.78 mA/cm², a V_oc of 2.25 V, a PCE of 28.99 %, and a FF of 0.87. To enhance the low V_oc of the bottom subcell, V₂O₅ nanorods were added for improved hole transport, and CeO₂ was selected as the best electron transport layer, increasing V_oc to 2.59 V. The resulting decrease in J_sc was compensated by introducing a V₂O₅-CIGS core-shell structure, raising bottom subcell J_sc from 13.03 to 14.77 mA/cm². Further active layer re-optimization yielded a final J_sc of 16.09 mA/cm², with the current in both the top and bottom subcells perfectly matched. The optimized series-connected device reached J_sc of 16.09 mA/cm², V_oc of 2.63 V, PCE of 37.20 %, and FF of 0.87. A parallel-connected configuration was also studied, showing higher J_sc but lower V_oc and PCE. These integrated strategies demonstrate the effectiveness of core-shell nanostructures and layer optimization in achieving ideal current matching, higher efficiency, and broader solar spectrum utilization, advancing high-performance all-perovskite tandem solar cells.

本研究提出了一种新型的全钙钛矿串联太阳能电池结构，采用有限元模拟方法进行了研究，并在底部亚电池中加入了V2O5-CIGS核壳结构，以显着提高性能并消除亚电池之间的电流不匹配。该参考结构初始Jsc为14.78 mA/cm2， Voc为2.25 V， PCE为28.99%，FF为0.87。为了提高底部亚电池的低Voc，通过添加V2O5纳米棒来改善空穴传输，并选择CeO2作为最佳电子传输层，将Voc提高到2.59 V。通过引入V2O5-CIGS核壳结构来补偿Jsc的降低，将底部亚电池的Jsc从13.03 mA/cm2提高到14.77 mA/cm2。进一步的有源层重新优化得到了16.09 mA/cm2的最终Jsc，顶部和底部亚电池的电流完全匹配。优化后的串联器件Jsc为16.09 mA/cm2， Voc为2.63 V， PCE为37.20%，FF为0.87。研究结果表明，采用核壳纳米结构和层优化技术可以实现理想的电流匹配、更高的效率和更广泛的太阳光谱利用率，从而推动高性能全钙钛矿串联太阳能电池的发展。

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引用次数: 0

Flow and combustion process investigation of a hydrogen-ammonia rotary engine under ammonia premixed plus hydrogen direct injection mode 氨预混加氢直喷模式下氢-氨旋转发动机流动与燃烧过程研究

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.renene.2026.125273

Weibiao He , Guohui Zhu , Qingsong Zuo , Chuanfu Kou , Dezhong Ning , Hui Wang , Wei Chen

The development of zero-carbon fuel engines is crucial for the transportation industry to achieve carbon reduction goals. Hydrogen and ammonia-fueled engine power systems are becoming attractive research directions since their perfectly complementary combustion characteristics. Thus, a hydrogen-ammonia dual-fuel combustion means for rotary engines is proposed, and a numerical model based on parametric modeling and chemical reaction kinetics characterization is established. Then, the influence of the hydrogen energy ratio (HER), ranging from 5 % to 45 %, on mixture formation and combustion processes of the hydrogen-ammonia engine under the ammonia premixed plus hydrogen direct-injection mode is investigated. Results show that the hydrogen combustion-enhanced effect on ammonia is obvious with HER increases, however, when HER is less than 5 %, an ignition failure phenomenon is observed. As HER increases, the combustion performance improves with higher fuel utilization rate and fast heat release. At ignition timing, a higher HER will lead to more hydrogen concentration near the spark plug, which can reduce flame quench probability due to high ammonia concentrations. Blending hydrogen is a promising combustion enhancement means for ammonia combustion, and suggests designing HER higher than 35 % for parametric applications, whose peak pressure and fuel utilization rate are higher than 5.5 MPa and 97 %, respectively.

发展零碳燃料发动机对于交通运输行业实现碳减排目标至关重要。氢燃料和氨燃料发动机动力系统由于其完全互补的燃烧特性而成为有吸引力的研究方向。为此，提出了一种用于旋转发动机的氢氨双燃料燃烧方式，并建立了基于参数化建模和化学反应动力学表征的数值模型。然后，在氨预混加氢直喷模式下，研究了5% ~ 45%的氢能比（HER）对氢氨发动机混合气形成和燃烧过程的影响。结果表明：随着HER的增加，氢气对氨的助燃效果明显，但当HER小于5%时，会出现点火失败现象。随着HER的增加，燃烧性能得到改善，燃料利用率提高，热量释放快。在点火时刻，较高的HER会导致火花塞附近的氢气浓度增加，这可以减少由于高浓度氨而导致的火焰猝灭概率。掺氢是一种很有前途的氨燃烧增强手段，建议在参数化应用中设计高于35%的HER，峰值压力和燃料利用率分别高于5.5 MPa和97%。

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引用次数: 0

Projected increases in wave energy magnitude and variability in the Yellow and Bohai Seas under a high-emission climate scenario 高排放气候情景下黄渤海波浪能量级和变率的预估增加

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.renene.2026.125242

Ning Yuan , Xuecheng Zhang , Luming Shi , Hongda Shi , Bingchen Liang , Zhenlu Wang , Haofeng Xia

This study investigates changes in wave energy magnitude and variability in the Yellow and Bohai Seas under a high-emission future climate scenario. Future wave conditions are simulated using a spectral wave model driven by wind fields from a high-resolution global circulation model. The analysis delves into spatiotemporal variations in wave energy, along with its availability and stability. Results indicate a general increasing trend in annual mean wave energy throughout the 21st century, especially in the southern Yellow Sea. The projected increase is characterized by a shift toward more frequent high-energy, accompanied by a reduction in low-energy, short-period waves. Assessing wave energy exploitability suggests increasing available resources in nearshore regions, particularly south of the Shandong Peninsula. However, wave energy stability is projected to decline, indicated by increasing monthly and seasonal variability. On monthly and seasonal scales, wave energy tends to decrease in October, December, and January, especially in the Bohai Sea, while increasing at varied rates in other months. Wave energy generally peaks in winter with relatively low variance and reaches a minimum in summer with high variability. These findings provide quantitative insights to support the planning and optimization of regional wave energy development under future climate change.

本文研究了未来高排放气候情景下黄渤海波浪能的大小和变率变化。利用高分辨率全球环流模式的风场驱动的谱波模式模拟未来的波浪条件。该分析深入研究了波能的时空变化，以及它的可用性和稳定性。结果表明，在整个21世纪，年平均波能总体呈上升趋势，特别是在黄海南部。预估的增加的特点是向更频繁的高能波转变，同时伴随着低能量、短周期波的减少。评估波浪能的可利用性建议增加近岸地区，特别是山东半岛南部的可用资源。然而，波浪能量稳定性预计将下降，表现为月度和季节变化的增加。在月、季尺度上，波能在10月、12月和1月呈下降趋势，特别是渤海，而在其他月份则有不同幅度的上升。波浪能通常在冬季达到峰值，变化相对较小，在夏季达到最低，变化较大。这些发现为支持未来气候变化下区域波浪能开发的规划和优化提供了定量见解。

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引用次数: 0

Mooring-based frequency-domain and AI-based time-domain optimization for improved power capture performance of the TALOS wave energy converter 基于系泊的频域和基于人工智能的时域优化，以提高TALOS波能转换器的功率捕获性能

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.renene.2026.125241

Hakan Yavuz , Wanan Sheng , George Aggidis

Mooring-based frequency-domain analysis combined with AI-based time-domain optimization offers a systematic approach to improving power capture performance in multi-degree-of-freedom wave energy converters. While most existing studies focus on single-degree-of-freedom systems, enhanced energy absorption can be achieved by exploiting the dynamic potential of multi-DoF configurations. This study investigates the TALOS wave energy converter, a six-degree-of-freedom system, with the objective of improving its power capture capability through coordinated mooring and power take-off (PTO) optimization. The optimization framework begins with a frequency-domain analysis to assess the influence of mooring parameters on the system response. Based on this analysis, two refined configurations, denoted as TALOS-L and TALOS-H, are developed using optimized mooring stiffness characteristics. Subsequently, time-domain simulations are conducted using a genetic algorithm to determine optimal PTO damping settings under site-specific sea conditions. The results show that adaptive tuning of both mooring and PTO parameters significantly improves power capture across different sea states. In particular, the TALOS-H configuration, featuring tuned surge mooring stiffness and genetically optimized PTO damping, consistently outperforms the baseline configuration. These findings highlight the importance of site-specific tuning and demonstrate the effectiveness of AI-based optimization for enhancing the adaptability and efficiency of multi-degree-of-freedom wave energy converters.

基于系泊的频域分析与基于人工智能的时域优化相结合，为提高多自由度波能转换器的功率捕获性能提供了一种系统的方法。虽然现有的大多数研究都集中在单自由度系统上，但通过利用多自由度结构的动态潜力可以实现增强的能量吸收。本文对六自由度系统TALOS波浪能转换器进行了研究，目的是通过协调系泊和功率输出（PTO）优化来提高其能量捕获能力。优化框架从频域分析开始，评估系泊参数对系统响应的影响。在此基础上，根据优化的系泊刚度特性，开发了两种优化配置，分别为TALOS-L和TALOS-H。随后，使用遗传算法进行时域模拟，以确定现场特定海况下的最佳PTO阻尼设置。结果表明，系泊和PTO参数的自适应调谐显著提高了不同海况下的功率捕获。值得一提的是，TALOS-H配置具有调校的浪涌系泊刚度和基因优化的PTO阻尼，始终优于基线配置。这些发现突出了特定地点调谐的重要性，并证明了基于人工智能的优化对于提高多自由度波能转换器的适应性和效率的有效性。

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引用次数: 0

Intelligent monitoring of photovoltaic panel cleaning status: Fine-Scale dust accumulation estimation using hyperspectral data and mixed-pixel model 光伏板清洁状态的智能监测：利用高光谱数据和混合像元模型进行细尺度积尘估算

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.renene.2026.125206

Jianying Zhang , Shaogang Lei , Yu Tian , Yibo Zhao , Meng Li , Shengya Sun

Dust accumulation on the surface of photovoltaic panels is one of the key factors affecting the operational performance of PV systems. Hyperspectral remote sensing, with its high-dimensional and fine spectral resolution, shows great potential in PV pollution monitoring. However, our observations indicate that, for dust-covered PV panels, each spectral pixel often contains a composite signal generated by both the PV surface and the deposited dust. This microscopic mixed-pixel phenomenon is often overlooked, limiting existing monitoring approaches—based on single-spectrum analysis or traditional image processing—to macroscopic identification, and making it difficult to reveal the intrinsic relationship between dust density and spectral response. To address this issue, this study proposes a dust monitoring method for PV panels that integrates mixed-pixel spectral unmixing, enabling high-precision monitoring of different dust accumulation states. A spectral-index-optimized non-negative least squares method was first applied to estimate the abundances of the PV panel and dust components. The resulting abundance information was then incorporated into a dust density inversion model, and multiple machine learning algorithms were used to systematically compare the effects of different preprocessing strategies and sensitive-band extraction methods on model performance. The results showed that incorporating mixed-pixel abundance features significantly improved model accuracy and stability (R² = 0.9615, RMSE = 10.0092 g/m²). When the dust density reached 46.21 g/m², the reflectance in the 440–675 nm range exhibited an inflection point, changing from a decreasing to an increasing trend. The corresponding dust proportion (64 %) slightly exceeded 50 %, making dust the dominant contributor to the spectral signal and indicating a transition in the dust layer from single to multiple scattering. This study provides theoretical support and technical foundations for intelligent PV soiling monitoring and optimized cleaning scheduling.

光伏板表面积尘是影响光伏系统运行性能的关键因素之一。高光谱遥感以其高维、精细的光谱分辨率，在光伏污染监测中显示出巨大的潜力。然而，我们的观察表明，对于灰尘覆盖的光伏板，每个光谱像素通常包含由光伏表面和沉积的灰尘产生的复合信号。这种微观的混合像元现象往往被忽视，使现有的基于单光谱分析或传统图像处理的监测方法局限于宏观识别，难以揭示粉尘密度与光谱响应之间的内在关系。针对这一问题，本研究提出了一种集成混合像元光谱解混的光伏板粉尘监测方法，实现对不同粉尘积累状态的高精度监测。首先采用光谱指数优化的非负最小二乘法对光伏板和粉尘组分的丰度进行估算。然后将丰度信息纳入尘埃密度反演模型，并使用多种机器学习算法系统地比较不同预处理策略和敏感波段提取方法对模型性能的影响。结果表明，混合像元丰度特征显著提高了模型精度和稳定性（R2 = 0.9615, RMSE = 10.0092 g/m2）。当尘埃密度达到46.21 g/m2时，440 ~ 675 nm范围内的反射率出现拐点，由减小趋势转为增大趋势。相应的尘埃比例（64%）略高于50%，表明尘埃是光谱信号的主要贡献者，表明尘埃层从单次散射向多次散射过渡。本研究为光伏智能污染监测和优化清洁调度提供了理论支持和技术基础。

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引用次数: 0

Advancing biofuel economics through piggyback integration and earned profit sharing 通过背驮式整合和利润分享推进生物燃料经济

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-08 DOI: 10.1016/j.renene.2026.125233

Sharon Hughes , Neha Shakelly , John W. Sutherland , Zhi Zhou

Biofuel production has the advantages of reduced dependence on fossil fuels and a lower environmental impact but has been hindered by high costs, infrastructure limitations, and market uncertainties. This study introduces a groundbreaking “piggyback” biorefinery model that uniquely integrates first-generation (1G), second-generation (2G), and third-generation (3G) biofuel technologies within a shared infrastructure framework. Unlike conventional integrated approaches, the novel method strategically leverages underutilized 1G capacity and seasonal downtime to host 2G and 3G operations, significantly reducing capital expenditures and carbon footprint while enhancing process efficiency. This study further advances the techno-economic analysis (TEA) methodology by incorporating earnings before interest, taxes, depreciation, and amortization (EBITDA) alongside breakeven pricing, enabling more accurate profitability assessments. The study also pioneers an earned profit sharing (EPS) mechanism to stabilize feedstock costs and align stakeholder incentives, offering a practical pathway to de-risk investment in biofuels. Using Belize in Central America as a case study, this TEA demonstrates up to 33 % cost reduction and substantial lifecycle emission savings compared with standalone facilities. The framework presented here establishes an interim benchmark for evaluating multi-generation integrated biorefineries and provides actionable insights for accelerating the commercial viability of sustainable biofuels.

生物燃料生产具有减少对化石燃料依赖和对环境影响较小的优点，但受到高成本、基础设施限制和市场不确定性的阻碍。本研究介绍了一种开创性的“背带式”生物精炼模式，该模式独特地将第一代（1G）、第二代（2G）和第三代（3G）生物燃料技术集成在一个共享的基础设施框架内。与传统的集成方法不同，这种新方法战略性地利用未充分利用的1G容量和季节性停机时间来托管2G和3G业务，在提高流程效率的同时显著降低了资本支出和碳足迹。本研究通过将利息、税项、折旧和摊销前收益（EBITDA）与盈亏平衡定价相结合，进一步推进了技术经济分析（TEA）方法，从而实现更准确的盈利能力评估。该研究还开创了一种利润分享机制，以稳定原料成本和协调利益相关者的激励，为生物燃料投资降低风险提供了一条切实可行的途径。以中美洲的伯利兹为例，与独立设施相比，该TEA可降低高达33%的成本，并节省大量的生命周期排放。本文提出的框架为评估多代综合生物精炼厂建立了一个临时基准，并为加速可持续生物燃料的商业可行性提供了可行的见解。

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引用次数: 0

Will the three Gorges reservoir function as a carbon sink? Evidence from long-term field sampling and projections 三峡水库是否具有碳汇的功能？来自长期实地抽样和预测的证据

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-06 DOI: 10.1016/j.renene.2026.125225

Liu Yang , Zhe Li , Dianchang Wang , Kun Shan , Sidong Zeng , Chong Li , Yan Xiao , Shangbin Xiao , Yuchun Wang , Lunhui Lu

While hydropower is a cornerstone of low-carbon energy, reservoir-induced greenhouse gas (GHG) emissions, specifically CO₂ and CH₄, remaining a critical uncertainty for its long-term sustainability. This study utilizes an unprecedented decade-long empirical dataset from the Three Gorges Reservoir (TGR) to clarify the long-term emission dynamics and explore operational mitigation strategies. Five annual sampling campaigns post-impoundment revealed an annual emission of 359 ± 78 GgC·yr^-¹ of CO₂ (331 gC·m^-²·yr^-¹) and 3.81 ± 1.05 GgC·yr^-¹ of CH₄ (3.51 gC·m^-²·yr^-¹), primarily through air-water diffusion and regulated by terrigenous carbon inputs. CMIP6-driven machine-learning long-term projections indicate a divergent future pathway: CO₂ emissions are expected to decline by up to 69.7 GgC by the 2090s, potentially turning the TGR into a net carbon sink; conversely, CH₄ emissions are projected to rise due to climate-driven external loading. Integrating these insights into the Water-Energy-Carbon (W-E-C) nexus, a theoretically feasible strategy was exhibited that raising the summer water level by 5 m could reduce the hydropower carbon intensity by up to 5.1 % without compromising electricity generation. These findings provide a scalable methodology for the low-carbon optimization of large-scale hydroelectric systems, emphasizing that CH₄ mitigation remains the paramount long-term management challenge for the sector.

虽然水电是低碳能源的基石，但水库引起的温室气体（GHG）排放，特别是二氧化碳和甲烷，仍然是其长期可持续性的关键不确定性。本研究利用前所未有的三峡水库长达十年的经验数据，阐明了长期排放动态，并探索了运行减缓策略。蓄水后的5年采样活动显示，年二氧化碳排放量（331 gC·m-2·年-1）为359±78 GgC·年-1，CH4排放量（3.51 gC·m-2·年-1）为3.81±1.05 GgC·年-1，主要通过空气-水扩散并受陆源碳输入调节。cmip6驱动的机器学习长期预测显示了不同的未来路径：到本世纪90年代，二氧化碳排放量预计将下降高达69.7亿吨碳当量，有可能将三峡水库转变为净碳汇；相反，由于气候驱动的外部负荷，预计甲烷排放量将增加。将这些见解整合到水-能源-碳（W-E-C）关系中，展示了一个理论上可行的策略，即在不影响发电的情况下，将夏季水位提高5米可以将水力发电的碳强度降低5.1%。这些发现为大型水电系统的低碳优化提供了可扩展的方法，强调减少甲烷排放仍然是该部门最重要的长期管理挑战。

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引用次数: 0

Concise and high-precision modeling of PV modules with hygroscopic composite backplates for continuous passive cooling 具有连续被动冷却吸湿复合背板的光伏模块的简洁高精度建模

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-06 DOI: 10.1016/j.renene.2026.125228

Weijian Lin , Zhenpeng Li , Tao Ma

Passive cooling using hygroscopic composite backplates is a promising approach for effective photovoltaic thermal management. However, accurately modeling their cooling performance remains a challenge, as existing methods often suffer from experimental discrepancies, oversimplified physics, and limited predictive accuracy. To address this, a concise model is established to simulate the heat and mass transfer process and continuous passive cooling performance of polyacrylamide/sodium alginate hydrogels integrated with calcium chloride, and validated with root mean square error less than 2 °C and mean relative error around 3 %, demonstrating enhanced accuracy and reliability. Then, a quantitative analysis of the impacts of salt content, water diffusion coefficient, and protective membranes on cooling performance indicates that moderate salt content and diffusion coefficients enable sustained efficient passive cooling, while the protective membrane's mass transfer resistance is 20 times lower than the air-side resistance, exerting negligible influence. Moreover, a 7-day simulation under different six climates demonstrates that power conversion efficiency relatively increases vary from −0.15 % and 1.03 %, and the greatest cooling effects are in subtropical monsoon and Mediterranean climate with average temperature reductions by 2.3 °C and 2.7 °C respectively. This model can serve as a preliminary tool for estimating the extended cooling effects of composite backplates across various regions and provide fundamental guidance for the design and fabrication of materials.

利用吸湿复合背板进行被动冷却是一种很有前途的光伏热管理方法。然而，由于现有的方法往往存在实验差异、物理过于简化和预测精度有限的问题，因此准确地模拟它们的冷却性能仍然是一个挑战。为了解决这一问题，建立了一个简洁的模型，模拟了聚丙烯酰胺/海藻酸钠水凝胶与氯化钙集成的传热传质过程和连续被动冷却性能，并对其进行了验证，其均方根误差小于2°C，平均相对误差约为3%，提高了准确性和可靠性。然后，定量分析了含盐量、水扩散系数和保护膜对冷却性能的影响，结果表明，适度的含盐量和扩散系数可以实现持续高效的被动冷却，而保护膜的传质阻力比风侧阻力小20倍，影响可以忽略不计。6种不同气候条件下的7 d模拟结果表明，功率转换效率相对提高幅度在- 0.15%和1.03%之间，亚热带季风和地中海气候的降温效果最大，平均降温幅度分别为2.3°C和2.7°C。该模型可作为估计复合材料背板在不同区域的延伸冷却效果的初步工具，并为材料的设计和制造提供基本指导。

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引用次数: 0

Enhanced acidogenic gas utilization in two-stage co-digestion via biogas recirculation: Metagenomics analysis 通过沼气再循环提高两阶段共消化的产酸气体利用：宏基因组学分析

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-19 DOI: 10.1016/j.renene.2026.125310

Dominic Yellezuome , Xianpu Zhu , Ronghou Liu , Chen Sun , Mohamed Hemida Abd-Alla , Abdel-Hamied M. Rasmey

Acidogenic gas (H₂ and CO₂) from acidogenic reactors is often ignored in two-stage anaerobic digestion due to its high CO₂ content. While biogas recirculation improves methane production and substrate utilization, the underlying metabolic mechanisms remain unclear. This study explores these mechanisms using metagenomics in a novel two-stage system utilizing acidogenic gas. Biogas recirculation in the methanogenic stage increased average methane yield from 554 to 608 mL/g VS as the flow rate rose from 0 to 0.4 L/min, with a peak of 696 mL/g VS at 0.4 L/min. However, the methane yield decreased to 586 mL/g VS at 0.8 L/min. Recirculation enriched fermentative bacteria, boosting soluble metabolite production but slightly reducing organic matter removal. Although dominant microbial communities were significantly unaltered, syntrophic bacteria such as norank_f__norank_o__MBA03 (8.8–12.2 %) were enriched, strengthening microbial networks. Different methanogenic genera emerged, enabling rapid metabolite consumption via hydrogenotrophic, acetoclastic, and methylotrophic pathways. Metagenomic analysis revealed that recirculation upregulated key functions like signal transduction, cell motility, aromatic degradation, methanogenesis, and possible methane oxidation. This promoted carbon substrate availability and methane production while highlighting potential for valuable biochemical recovery from volatile fatty acids, supporting the circular economy and enhancing the cost-effectiveness of biogas systems.

产酸反应器产生的产酸气体（H2和CO2）由于其CO2含量高，在两段厌氧消化中往往被忽略。虽然沼气循环提高了甲烷产量和底物利用率，但其潜在的代谢机制尚不清楚。本研究利用宏基因组学在一个利用产酸气体的新型两阶段系统中探讨了这些机制。产甲烷阶段沼气再循环随着流量从0 ~ 0.4 L/min增加，平均甲烷产率从554 ~ 608 mL/g VS，在0.4 L/min时达到696 mL/g VS的峰值。但在0.8 L/min条件下，甲烷产率降至586 mL/g VS。循环强化了发酵细菌，提高了可溶性代谢物的产量，但略微降低了有机物的去除。虽然优势微生物群落没有明显改变，但如norank_f_ norank_o__mba03（8.8 - 12.2%）等共生细菌富集，加强了微生物网络。出现了不同的产甲烷属，通过氢营养、醋酸分解和甲基营养途径快速消耗代谢物。宏基因组分析显示，再循环上调了信号转导、细胞运动、芳香降解、甲烷生成和可能的甲烷氧化等关键功能。这促进了碳底物的可用性和甲烷的产生，同时突出了挥发性脂肪酸有价值的生化回收潜力，支持循环经济并提高了沼气系统的成本效益。

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引用次数: 0

Design optimization method for electricity-hydrogen energy storage system under uncertainties 不确定条件下的电-氢储能系统设计优化方法

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-19 DOI: 10.1016/j.renene.2026.125307

Shuai Sun , Kelei Huang , Zhangfa Tong , Yinghua Jiang

In this work, a design optimization method for hybrid power system with hybrid electricity-hydrogen energy storage system under uncertainties is established. Firstly, a novel approach for modeling the interdependencies between the solar and wind energy uncertainties and load uncertainty is developed. Then, a two-stage collaborative design optimization model is constructed, where the first stage is to size the renewable energy capacities, and the second stage is to determine the hybrid energy storage system capacity and power dispatching scheme by simultaneously considering economy and resilience. Finally, the effectiveness of the proposed method is verified through a case study of a photovoltaic-wind-battery-hydrogen hybrid power system. The results show that the proposed uncertainty models can exactly describe the randomness and fluctuation characteristics of the hybrid power system, and the total annual and operating costs of the system in trade-off point are 5.38 × 10⁶ $ and 2.00 × 10⁵ $. The battery energy storage system is better than the hydrogen one in the system, and the combination of the both ones is more beneficial for the improvement of the economy and resilience. Furthermore, the influences of the investment and operation costs on the hybrid power system are comprehensively analyzed and discussed.

本文建立了不确定条件下混合电力-氢储能系统的设计优化方法。首先，提出了一种新的方法来模拟太阳能和风能的不确定性与负荷不确定性之间的相互依赖性。然后，构建两阶段协同设计优化模型，第一阶段确定可再生能源容量，第二阶段同时考虑经济性和弹性，确定混合储能系统容量和电力调度方案。最后，通过光伏-风电池-氢混合动力系统的实例研究，验证了所提方法的有效性。结果表明，所建立的不确定性模型能较好地描述混合电力系统的随机性和波动性特征，系统在权衡点的年总成本和运行成本分别为5.38 × 106美元和2.00 × 105美元。系统中电池储能系统优于氢储能系统，两者结合更有利于经济性和弹性的提高。此外，还对投资和运行成本对混合动力系统的影响进行了全面的分析和讨论。

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引用次数: 0