Renewable Energy最新文献_第8页

Optimization of recirculation ratio for biohythane production by two-phase anaerobic co-digestion of high-solid food waste and paper waste 高固相食物垃圾和废纸两相厌氧共消化生产生物乙烷的循环比优化

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124931

Qingkang Zeng , Juntong Ha , Yuanyuan Ren , Yu-You Li , Yu Qin

The recirculated two-phase anaerobic digestion (R-TPAD) system has gradually replaced the conventional TPAD configuration, emerging as a stable and efficient strategy for biohythane production. However, inappropriate recirculation ratios (R) may cause either incomplete organic conversion or insufficient phase separation. In this study, a semi-continuous R-TPAD system comprising two continuously stirred reactors was established to digest food and paper waste (total solids ≈ 17 %). The influence of R on process performance, microbial structures, metabolic pathways, and energy recovery was systematically assessed. Results showed that the buffering effect of recycled methanogenic sludge maintained the pH of acidogenic phase at 5.2 and ensured complete phase separation at R_0.8, achieving optimal yields of H₂ (75 L/kg-VS) and CH₄ (402 L/kg-VS) with 83 % COD removal. Stoichiometric and thermodynamic analyses confirmed that R_0.8 strengthened metabolic coupling between the acidogenic and methanogenic phases, thereby promoting methane harvest. 16S rRNA analysis indicated that the appropriate ratio could push forward the cooperation between functional guilds by stimulating acidogens in acidogenic phase and enriching methanogens in methanogenic phase. Energy balance analysis indicated that R_0.8 would deliver superior net energy recovery. These findings provide a practical operational basis for scaling up R-TPAD technology.

循环两相厌氧消化（R-TPAD）系统已逐渐取代传统的TPAD配置，成为一种稳定高效的生物乙烷生产策略。然而，不适当的再循环比(R)可能导致有机转化不完全或相分离不足。在本研究中，建立了一个由两个连续搅拌反应器组成的半连续R-TPAD系统来消化食物和废纸（总固体含量≈17%）。系统评估了R对工艺性能、微生物结构、代谢途径和能量回收的影响。结果表明：再生产甲烷污泥的缓冲作用使产酸相的pH维持在5.2，在R0.8下保证了相的完全分离，达到了H2 （75 L/kg-VS）和CH4 （402 L/kg-VS）的最佳产率，COD去除率为83%。化学计量学和热力学分析证实，R0.8增强了产酸和产甲烷阶段之间的代谢耦合，从而促进了甲烷的收获。16S rRNA分析表明，适当的比例可以通过在产酸期刺激产酸菌，在产甲烷期富集产甲烷菌来促进功能行会之间的合作。能量平衡分析表明，R0.8的净能量回收率更高。这些发现为R-TPAD技术的推广提供了实际操作基础。

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引用次数: 0

Enhancing biogas biological upgrading from kitchen wastewater by anaerobic digestion: integrated CSTR-TBR reactor with modified nZVI addition 厌氧消化提高厨房污水沼气生物升级：添加改性nZVI的CSTR-TBR集成反应器

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124986

Sida Fu , Jingying Yang , Wansheng Shi , Xuxiang Zhang , Lin Ye , Zhenxing Huang , Wenquan Ruan , Mingxing Zhao

This study developed an innovative strategy for enhancing biogas upgrading from kitchen wastewater by using extracellular polymeric substance-modified nanoscale zero-valent iron (EPS₁₀-nZVI₁₀) in an integrated continuous stirred tank reactor and trickle bed reactor (CSTR-TBR). The EPS₁₀-nZVI₁₀ composite served as a highly efficient in-situ H₂ source, effectively overcoming limitations of conventional nZVI such as agglomeration and passivation. The integrated CSTR-TBR system with gas circulation achieved simultaneous biogas production and in-situ upgrading, significantly enhancing CO₂/H₂ mass transfer and conversion efficiency. The optimal performance was observed at the highest EPS₁₀-nZVI₁₀ dosage, yielding a remarkable CH₄ content of 98.90 % and an average daily methane production of 363.75 mL/g COD, which was 2.08-fold of control. System stability was confirmed through low VFAs, alkalinity, and reduced ORP. Hydrogenotrophic methanogenesis was promoted, as evidenced by coenzyme F₄₂₀ relative activity reaching 96.72 %. Microbial community analysis demonstrated selective enrichment of Firmicutes and Chloroflexi, along with Methanomassiliicoccus and Methanobacterium. This approach offers an effective and sustainable route for biogas upgrading and organic waste resource recovery.

本研究开发了一种创新策略，利用胞外聚合物改性纳米级零价铁（EPS10-nZVI10）在集成连续搅拌槽式反应器和滴流床反应器（CSTR-TBR）中提高厨房污水的沼气升级。EPS10-nZVI10复合材料作为高效的原位H2源，有效克服了传统nZVI的团聚和钝化等局限性。带气循环的CSTR-TBR集成系统实现了沼气生产和原位升级同时进行，显著提高了CO2/H2传质和转化效率。EPS10-nZVI10投加量最高时，甲烷含量达到98.90%，日均产甲烷量为363.75 mL/g COD，是对照的2.08倍。通过低VFAs，碱度和降低的ORP证实了系统的稳定性。辅酶F420的相对活性达到96.72%，促进了氢营养化产甲烷。微生物群落分析表明，厚壁菌门和氯氟菌门选择性富集，以及甲烷菌门和甲烷杆菌。该方法为沼气升级和有机废弃物资源化提供了一条有效、可持续的途径。

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引用次数: 0

Effective DC power rating of PV arrays under challenging operating conditions in desert and tropical regions 在沙漠和热带地区具有挑战性的运行条件下光伏阵列的有效直流额定功率

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124981

José R. Angulo , Luis A. Conde , Vlada Pleshcheva , Michael A. García , Wildor Gosgot , Miguel Barrena , Emilio Muñoz-Cerón , Juan de la Casa , Jan A. Töfflinger

The accurate characterization of photovoltaic (PV) system performance is essential for diagnostics, benchmarking, and O&M. Conventional performance ratio (PR) metrics, standardized in IEC 61724–1, are widely used but remain highly sensitive to irradiance variability, thermal dynamics, and curtailment, often generating false alarms in challenging climates. This study extends a recently proposed statistical method for estimating the effective DC power rating (

P_{0, e f f}

), the array's nominal power corrected to standard test conditions, by testing multiple irradiance thresholds at two contrasting Peruvian sites: the arid desert of Lima and the tropical rainforest of Chachapoyas. Results show that

P_{0, e f f}

provides a more stable indicator than PR and

{PR}_{25}^{'}

, with uncertainties below 3 %. High thresholds (>800 W/m²) yielded the lowest variability (≈1 %), while intermediate thresholds (>600 W/m²) balanced stability with greater data coverage. In Lima, the method captured capacity losses from dust deposition, whereas in Chachapoyas it proved robust under persistent cloudiness, where PR fluctuated strongly. A monitoring protocol is proposed in which PR serves as the primary indicator and

P_{0, e f f}

validates alarms when PR falls below a threshold. This combined approach reduces false alarms while retaining sensitivity to genuine performance losses, offering a practical and climate-resilient tool for PV monitoring and O&M optimization.

光伏（PV）系统性能的准确表征对于诊断、基准测试和运营管理至关重要。在IEC 61724-1中标准化的传统性能比（PR）指标被广泛使用，但对辐照度可变性、热动力学和弃风高度敏感，经常在具有挑战性的气候条件下产生假警报。这项研究扩展了最近提出的一种统计方法，用于估计有效直流额定功率（P0,eff），即阵列的标称功率校正到标准测试条件，通过在两个不同的秘鲁地点测试多个辐照度阈值：利马的干旱沙漠和查恰波亚斯的热带雨林。结果表明，P0、eff比PR和PR25′提供了更稳定的指标，不确定度在3%以下。高阈值（>800 W/m2）产生最低的变异性（≈1%），而中间阈值（>600 W/m2）平衡了稳定性和更大的数据覆盖率。在利马，该方法捕获了灰尘沉积造成的容量损失，而在恰恰波亚亚斯，该方法在持续多云的情况下证明是有效的，那里的PR波动很大。提出了一种以PR为主要指标，P0，eff在PR低于阈值时验证告警的监控协议。这种组合方法减少了误报，同时保持了对真实性能损失的敏感性，为光伏监测和运营管理优化提供了实用且具有气候适应性的工具。

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引用次数: 0

A multi-criteria decision-making framework for enhancing renewable energy productivity 提高可再生能源生产力的多准则决策框架

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124990

Muhammad Shahbaz , Serkan Eti , Serhat Yüksel , Hasan Dinçer , Ayşe Nur Çırak

Productivity plays a critical role for sustainable development of the renewable energy projects. In this process, identifying the most significant indicators is very necessary to use the limited resources more efficiently. This study proposes a novel five-stage decision-making model to generate effective and prioritized strategies for enhancing productivity in renewable energy investments. Firstly, the expert team is selected using Hartigan-Wong algorithm. Secondly, the weights of the experts are computed via dimensionality reduction. In the third stage, the missing opinions of such people are completed with random forest regressor. After that, the importance of the criteria is evaluated by Gaussian fuzzy weighted evaluation of nonlinear subjective logical optimization (WENSLO). Finally, BRICS (Brazil, Russia, India, China and South Africa) countries are examined with respect to the productivity performance of these projects by considering Gaussian fuzzy relative assessment of weighted evaluation criteria (RAWEC). The main contribution of our study is that prior and effective investment strategies can be presented to increase the productivity of the renewable energy projects with a novel model. The use of Gaussian fuzzy sets has a positive influence on handing uncertainty in the analysis process more effectively. In addition to them, owing to Hartigan-Wong algorithm and dimension reduction technique, it can be possible to prioritize the experts. This situation can be very helpful to reach more effective findings. Our findings denote that technological infrastructure and energy storage capacity are the most essential indicators to increase the productivity of renewable energy investments. Moreover, China and Russia are the most successful countries regarding the productivity performance for these investments.

生产力对可再生能源项目的可持续发展起着至关重要的作用。在这一过程中，为了更有效地利用有限的资源，确定最重要的指标是非常必要的。本研究提出了一个新的五阶段决策模型，以产生有效的和优先的战略，以提高可再生能源投资的生产力。首先，采用Hartigan-Wong算法选择专家团队。其次，通过降维计算专家的权重；第三阶段，用随机森林回归器对这些人的缺失意见进行补全。然后，采用非线性主观逻辑优化（WENSLO）的高斯模糊加权评价方法对准则的重要性进行评价。最后，通过考虑加权评价标准的高斯模糊相对评价（RAWEC），对金砖国家（巴西、俄罗斯、印度、中国和南非）国家的这些项目的生产力绩效进行了检查。本研究的主要贡献在于，通过一种新颖的模型，提出了提高可再生能源项目生产率的优先和有效的投资策略。高斯模糊集的使用对于更有效地处理分析过程中的不确定性具有积极的影响。此外，由于Hartigan-Wong算法和降维技术，可以对专家进行优先排序。这种情况非常有助于得出更有效的结论。我们的研究结果表明，技术基础设施和能源储存能力是提高可再生能源投资生产率的最重要指标。此外，就这些投资的生产率表现而言，中国和俄罗斯是最成功的国家。

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引用次数: 0

Dry non-thermal plasma pre-treatment for biomass valorization: A sustainable approach for spent coffee grounds and banana peels 生物质增值的干非热等离子体预处理：废咖啡渣和香蕉皮的可持续处理方法

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124954

Giuseppina Iervolino, Alessandro Petracca, Iolanda De Marco, Donatella Albanese, Sara Liparoti, Alessandra Procentese

The development of sustainable and efficient biomass pre-treatment technologies is crucial for advancing biorefinery applications. In this study, a dry non-thermal plasma (NTP) pre-treatment was investigated as a novel approach for processing spent coffee grounds (SCG) and banana peels (BP). The process was performed at 45 °C for 3–5 min without the addition of chemical reagents, ensuring minimal environmental impact. The effects of key operating parameters—including applied voltage (7.5–16 kV), air flow rate (0.5–2 NL/min), and treatment time (1–5 min)—on biomass composition and enzymatic hydrolysis efficiency were evaluated. Under optimal conditions (12 kV, 1 NL/min, 5 min), SCG showed a 2.46 % increase in cellulose availability and a 2.77 % reduction in insoluble lignin, resulting in a glucose yield of 7.24 mg/g biomass. For BP, NTP treatment led to a 3.15 % decrease in insoluble lignin while maintaining stable cellulose content, achieving a glucose release of 19.96 mg/g biomass. Although the absolute improvements are modest, they were achieved under very mild operating conditions without chemical additives, confirming the potential of dry NTP as a low-energy, environmentally friendly alternative. In contrast, conventional pre-treatments often require harsh conditions (e.g., >120 °C, hours of processing, and strong acids/alkalis) to achieve higher sugar yields, making the dry NTP approach a sustainable proof-of-concept with lower environmental and energy costs. Structural and chemical characterizations (SEM, TGA, FTIR) confirmed the effectiveness of NTP in modifying lignocellulosic structures. Compared to conventional pre-treatments, dry NTP demonstrated significant advantages in terms of energy efficiency, process simplicity, and environmental sustainability, making it a promising proof-of-concept for industrial-scale biomass processing.

发展可持续和高效的生物质预处理技术对于推进生物炼制应用至关重要。在这项研究中，研究了干燥非热等离子体（NTP）预处理作为处理废咖啡渣（SCG）和香蕉皮（BP）的新方法。该过程在45°C下进行3-5分钟，不添加化学试剂，确保对环境的影响最小。评估了关键操作参数(包括施加电压（7.5-16 kV）、空气流速（0.5-2 NL/min）和处理时间（1-5 min）对生物质组成和酶解效率的影响。在最佳条件（12 kV, 1 NL/min, 5 min）下，SCG的纤维素利用率提高了2.46%，不溶性木质素降低了2.77%，葡萄糖产量为7.24 mg/g生物质。对于BP， NTP处理导致不溶性木质素减少3.15%，同时保持纤维素含量稳定，实现19.96 mg/g生物量的葡萄糖释放。虽然绝对的改进是适度的，但它们是在非常温和的操作条件下实现的，没有化学添加剂，证实了干法NTP作为一种低能耗、环保的替代品的潜力。相比之下，传统的预处理通常需要苛刻的条件（例如，120°C，数小时的处理，强酸/强碱）才能获得更高的糖产量，这使得干燥的NTP方法成为一种可持续的概念验证，具有更低的环境和能源成本。结构和化学表征（SEM， TGA， FTIR）证实了NTP在修饰木质纤维素结构方面的有效性。与传统的预处理相比，干燥NTP在能源效率、工艺简单性和环境可持续性方面表现出显著优势，使其成为工业规模生物质处理的一个有希望的概念验证。

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引用次数: 0

Two-stage defending framework for typhoon-resilient distribution energy systems: Integrating wind–rain–terrain cascading failures in urban microclimates 台风恢复配电能源系统的两阶段防御框架：在城市小气候中整合风雨地形级联故障

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124975

Chengjin Ye , Bohan Hu , Qiang Gao

The synergy between energy systems and resilient city development requires the operation of adaptive grids capable of withstanding extreme hazards, particularly tropical cyclones. Traditional single-factor models fall short in addressing the spatial–temporal interdependencies of wind, rain, and micro-terrain, which is a crucial gap in current approaches. This paper highlights the increasing need to enhance the resilience of distribution networks by considering the coupling effects of wind, rain, and terrain. We propose a ridge identification algorithm that adjusts wind speeds based on micro-topography. This corrected wind field is then used to inform precipitation patterns via the TCR model, while a 2D hydrodynamic model is employed to assess water levels at network nodes. By combining the wind and rain scenarios, we can accurately evaluate the real-time reliability of the network during tropical cyclones, taking into account the influence of surface vegetation. To further enhance resilience, we develop a two-stage stochastic model for emergency energy planning. The first stage focuses on pre-disaster emergency power supply (EPS) placement, and the second stage addresses EPS dispatching and network reconfiguration during disasters. Numerical simulations using realistic landfalling typhoons and terrain data from southeastern China show significant changes in fault distribution when wind–rain effects are incorporated, demonstrating the effectiveness of the proposed method in balancing economic benefits and worst-case scenarios.

能源系统与弹性城市发展之间的协同作用需要能够承受极端灾害，特别是热带气旋的适应性电网的运行。传统的单因素模型在处理风、雨和微地形的时空相互依存关系方面存在不足，这是当前方法的一个关键空白。本文强调了通过考虑风、雨和地形的耦合效应来增强配电网弹性的日益增长的需求。我们提出了一种基于微地形调整风速的山脊识别算法。修正后的风场通过TCR模型被用于降水模式，而二维水动力模型被用于评估网络节点的水位。在考虑地表植被影响的情况下，通过结合风雨场景，可以准确地评估热带气旋期间网络的实时可靠性。为了进一步提高弹性，我们开发了一个两阶段的应急能源规划随机模型。第一阶段主要研究灾前应急电源的配置问题，第二阶段主要研究灾后应急电源的调度和电网重构问题。利用实际登陆台风和中国东南部地形数据进行的数值模拟表明，考虑风雨影响后断层分布发生了显著变化，证明了该方法在平衡经济效益和最坏情况方面的有效性。

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引用次数: 0

Comprehensive performance analysis of a solar thermal/power assisted bromine-mediated propane dehydrogenation system: Energy, exergy, economic, and environmental perspectives 太阳能热/电力辅助溴介导丙烷脱氢系统的综合性能分析：能源，能源，经济和环境的观点

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124985

Weimin Guo , Yuzhu Chen , Kaifeng Yang , Ziqing Zhang , Na Du , Kun Yang , Yu Yang , Tianhu Zhang

Conventional oxidative dehydrogenation of propane suffers from high energy consumption and substantial carbon emissions, limiting its sustainability. To address these challenges, this study proposes an innovative solar-assisted bromine-mediated propane dehydrogenation system that synergistically combines parabolic trough collectors (PTCs) and photovoltaics (PVs) for cascaded solar energy utilization. A comprehensive multi-criteria evaluation framework encompassing energy, exergy, economic, and environmental aspects is established, supported by detailed thermodynamic modeling via Aspen Plus simulations. Under design conditions (25°C, 1000 W/m² solar irradiance), the system achieves an energy efficiency of 15.56% and an exergy efficiency of 27.36%, while reducing propylene production cost to $0.52/kg, a saving of $0.13/kg compared to conventional non-solar processes. Furthermore, the integrated solar design cuts energy consumption by 38.7% and achieves net-zero carbon emissions under peak irradiation. Off-design analysis indicates that increased irradiance reduces both operating costs and carbon footprint. Although enlarging the PTC/PV area requires higher initial investment, it offers significant long-term benefits. Sensitivity analysis identifies propane price and renewable electricity cost as the most influential economic factors. This work provides a foundational framework for solar-driven olefin production and demonstrates the potential of hybrid solar-chemical processes to simultaneously meet economic and environmental objectives.

传统丙烷氧化脱氢工艺能耗高、碳排放量大，限制了其可持续性。为了解决这些挑战，本研究提出了一种创新的太阳能辅助溴基丙烷脱氢系统，该系统将抛物槽集热器（ptc）和光伏（pv）协同结合，用于级联太阳能利用。一个全面的多标准评估框架，包括能源，火用，经济和环境方面的建立，支持详细的热力学建模通过Aspen Plus模拟。在设计条件下（25°C， 1000 W/m2太阳辐照度），该系统实现了15.56%的能源效率和27.36%的火用效率，同时将丙烯生产成本降低到0.52美元/公斤，与传统的非太阳能工艺相比节省了0.13美元/公斤。此外，一体化太阳能设计减少了38.7%的能源消耗，在峰值辐照下实现了净零碳排放。非设计分析表明，增加辐照度可以降低运营成本和碳足迹。虽然扩大PTC/PV面积需要更高的初始投资，但它具有显著的长期效益。敏感性分析表明丙烷价格和可再生电力成本是影响最大的经济因素。这项工作为太阳能驱动的烯烃生产提供了一个基础框架，并展示了混合太阳能化学工艺同时满足经济和环境目标的潜力。

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引用次数: 0

Effect of activated carbon assisted microwave pyrolysis parameters on phenol-rich oil from decommissioned wind turbine blades 活性炭辅助微波热解参数对退役风电叶片富酚油的影响

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124987

Jie Song , Shanjian Liu , Chunzhen Yang , Jingang Yao , Xiaoyu Song , Qingqing Qian

In this study, a novel activated carbon-assisted microwave pyrolysis method was developed to recover both resin and glass fibers from end-of-life wind turbine blades. An orthogonal experimental design was used to assess the effects of temperature, microwave power, and activated carbon ratio on the phenolic content of the pyrolysis oil. Microwave heating significantly promoted phenol production, with the phenolic content reaching up to 83.5%, and phenol along with isopropyl-substituted phenols showing the highest selectivity, while alcohols decreased. The mass ratio of activated carbon to epoxy resin was identified as the most influential factor, followed by microwave power and temperature. Competitive and synergistic interactions between the gas and liquid phases were observed, where moderate suppression of deoxygenation reactions favored phenol preservation and enrichment. Additionally, the recovered glass fibers treated by oxidation showed a 17.1% higher tensile strength than those treated by swelling. Based on the analysis of product evolution, a mechanism for the activated carbon-assisted microwave pyrolysis of epoxy resin was proposed.

在这项研究中，开发了一种新的活性炭辅助微波热解方法，用于回收废弃风力涡轮机叶片中的树脂和玻璃纤维。采用正交试验设计，考察温度、微波功率和活性炭配比对热解油酚类物质含量的影响。微波加热显著促进了苯酚的生成，苯酚的含量达到83.5%，苯酚与异丙基取代的苯酚的选择性最高，而醇的选择性降低。活性炭与环氧树脂的质量比是影响活性炭性能的主要因素，其次是微波功率和温度。观察到气相和液相之间的竞争和协同作用，其中适度抑制脱氧反应有利于苯酚的保存和富集。氧化处理后的玻璃纤维抗拉强度比膨胀处理后的玻璃纤维高17.1%。在分析产物演化的基础上，提出了活性炭辅助微波热解环氧树脂的机理。

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引用次数: 0

Synthesis of triacetylglycerol by acyl exchange reaction of oils and fats with acetic acid over highly active polymeric solid acid catalyst 油脂与乙酸酰基交换反应在高活性聚合固体酸催化剂上合成三乙酰甘油

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124976

Lijuan Su , Ke Li , Longfei Yan , Tiansheng Deng , Xianglin Hou

The direct production of triacetylglycerol (TAG) from oils(fats) has the advantage of high yield and simple process. However, the lack of efficient and stable catalyst restricts the process application. An appropriate catalyst necessitates a suitable textural property and a high surface acid site density. In this work, a series of polymeric solid acid catalysts with different structures were synthesized via the copolymerization of sodium p-styrenesulfonate (SPSS) and divinylbenzene (DVB) in different solvents. Over PDS-DMF-2, the TAG yield reached 93.4 % via acyl exchange reaction of oils(fats) with acetic acid due to the high acid site concentration, large specific surface area, and enhanced density of surface sulfonic acid group. Additionally, the PDS-DMF-2 exhibited excellent stability, maintaining a TAG yield of 87.2 % even after five cycles. The characterization results showed that the slow decrease in catalyst activity is primarily caused by the loss of sulfonic acid groups.

以油脂为原料直接生产三乙酰甘油具有收率高、工艺简单等优点。但由于缺乏高效稳定的催化剂，制约了该工艺的应用。合适的催化剂必须具有合适的结构特性和高的表面酸位密度。本文以对苯乙烯磺酸钠（SPSS）和二乙烯苯（DVB）为原料，在不同溶剂中共聚，合成了一系列不同结构的聚合物固体酸催化剂。在PDS-DMF-2上，由于酸位浓度高，比表面积大，表面磺酸基密度增强，油（脂）与乙酸进行酰基交换反应，TAG收率达到93.4%。此外，PDS-DMF-2表现出优异的稳定性，即使在5个循环后也能保持87.2%的TAG产率。表征结果表明，催化剂活性的缓慢下降主要是由于磺酸基的损失。

引用次数: 0

Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network 基于自适应稀疏图关注网络的动态电场间依赖学习风电预测

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2025-12-06 DOI: 10.1016/j.renene.2025.124969

Kai Qu, Shuangsi Xue, Xiaodong Zheng, Dapeng Yan, Hui Cao

Accurate wind power forecasting (WPF) is crucial for the stable operation and economic dispatch of power systems. Forecasting for multiple, geographically distributed wind farms is challenging due to complex and dynamic inter-farm dependencies. Existing models often rely on static relationships or struggle to adaptively integrate diverse information sources. This paper proposes an inter-farm adaptive sparse graph attention network (IF-ASGAT) to address these limitations. IF-ASGAT dynamically learns inter-farm relationships by constructing a sparse, time-varying adjacency matrix based on multivariate time series. It then employs a sparse graph attention mechanism to selectively aggregate information from the most relevant neighboring farms. The model further integrates processed spatiotemporal features with future numerical weather prediction (NWP) data for the target wind farm through a feature fusion module. Rigorous experiments on a real-world dataset of 18 wind farms show that IF-ASGAT achieves statistically significant outperformance against a wide range of baselines, including recent GNN and Transformer-based models. A comprehensive ablation study validates the indispensable roles of each modules. Furthermore, interpretability analyses highlight the model’s capability to capture physically meaningful dependencies, demonstrating that its adaptive sparsity mechanism enhances both predictive performance and computational efficiency.

准确的风电功率预测对电力系统的稳定运行和经济调度至关重要。由于多个风电场之间复杂和动态的依赖关系，对多个地理分布的风电场进行预测是具有挑战性的。现有模型通常依赖于静态关系，或者难以自适应地集成不同的信息源。本文提出了一种农场间自适应稀疏图注意网络（IF-ASGAT）来解决这些限制。IF-ASGAT通过构建基于多变量时间序列的稀疏时变邻接矩阵来动态学习农场间关系。然后，它采用稀疏图注意机制，有选择地从最相关的邻近农场收集信息。该模型通过特征融合模块进一步将处理后的时空特征与目标风电场的未来数值天气预报（NWP）数据相结合。在18个风电场的真实数据集上进行的严格实验表明，IF-ASGAT在广泛的基线上取得了统计上显著的优势，包括最近的GNN和基于变压器的模型。全面的消融研究验证了每个模块不可或缺的作用。此外，可解释性分析强调了模型捕获物理上有意义的依赖关系的能力，表明其自适应稀疏性机制提高了预测性能和计算效率。

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