Renewable Energy最新文献_第2页

3D electrostatic field coupling with copper foam hydrogel for solar-driven interfacial desalination 三维静电场耦合泡沫铜水凝胶用于太阳能驱动界面海水淡化

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-23 DOI: 10.1016/j.renene.2026.125316

Xiangxiang Li , Zhengpeng Li , Huiyong Lan, Yanjun Chen, Deqiang He

Solar-driven interfacial desalination is constrained by the long-standing trade-off between salt crystallization and thermal management. To address this challenge, this work proposes a 3D electrostatic field coupled copper foam hydrogel evaporator. The implantation of copper foam shortens the distance between 3D high-potential electrode and zero potential electrode, increasing the electrostatic field intensity in the gas-liquid interface area and expands the coverage of the electrostatic field. This work studies the evaporation performance and desalination capacity of the evaporator under different conditions. Results reveal that this coupled design achieves excellent evaporation increment of 22.7 % in conventional saltwater with the evaporation rate of 2.26 kg m⁻² h⁻¹, and also maintains a 12.7 % enhancement in high salinity brine at −10 kV under light intensity of 1 kW m⁻². Furthermore, the maximum temperature reduction by the electrostatic field is 8.1 °C on side surface of the evaporator, improving energy utilization and mitigating radiation heat loss to the environment. The enhancement effect is better under moderate and low light intensities. This coupled design for enhancing evaporation and regulating ion migration provides a generalizable strategy for achieving energy-efficient, and salt-resistant solar desalination systems through electrostatic field assisted interfacial regulation.

太阳能驱动的界面海水淡化受到长期存在的盐结晶和热管理之间权衡的限制。为了解决这一挑战，本工作提出了一种三维静电场耦合铜泡沫水凝胶蒸发器。泡沫铜的植入缩短了三维高电位电极与零电位电极之间的距离，增加了气液界面区域的静电场强度，扩大了静电场的覆盖范围。研究了不同条件下蒸发器的蒸发性能和脱盐能力。结果表明，该耦合设计在常规盐水中获得了22.7%的蒸发增量，蒸发速率为2.26 kg m−2 h−1；在高盐度盐水中，在- 10 kV光强为1 kW m−2的条件下也保持了12.7%的蒸发增量。此外，静电场最大可使蒸发器侧表面降温8.1℃，提高了能量利用率，减轻了对环境的辐射热损失。在中低光强下增强效果较好。这种促进蒸发和调节离子迁移的耦合设计为通过静电场辅助界面调节实现节能和耐盐的太阳能海水淡化系统提供了一种通用策略。

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引用次数: 0

Economic and environmental assessment of sustainable FAME production by using a bio-derived ligand Na-Ni-MOF catalyst 生物衍生配体Na-Ni-MOF催化剂可持续生产FAME的经济和环境评价

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-22 DOI: 10.1016/j.renene.2026.125314

Wen-jie Cong, Xiaoya Luo, Junwang Zheng, Jie Zhang, Jingwen Zhang, Jianguo Zhang

A bio-derived ligand Na-Ni-MOF-700 catalyst was synthesized for fatty acid methyl ester (FAME) production from soybean oil, and its industrial potential was comprehensively evaluated in terms of catalytic activity, reusability, life cycle cost (LCC), and environmental factor (E-factor). The catalyst was prepared by impregnating Na₂CO₃ onto a bio-derived ligand Ni-MOF carrier. Characterizations revealed that the Ni-MOF carrier provided a high surface area (400.38 m²/g), and formed a carbon matrix that encapsulated Ni/NiO particles after N₂ calcination. This structure enabled magnetic separation and inhibited active sites leaching. Reaction conditions (15:1 methanol to oil molar ratio, 3 wt% catalyst, 75 °C, 3 h) optimized via a Taguchi design achieved a 99.87 % FAME yield. The catalyst exhibited strong catalytic stability, maintaining a FAME yield >90 % after six reuse cycles. LCC analysis indicated a production cost of 0.85 USD/kg for soybean FAME, which is 20 % reduction compared to NaOH. An E-factor of 0.57 confirmed its environmental compatibility. These results demonstrate the potential of MOF-based catalysts in balancing high activity, reusability, and sustainability for green chemical processes.

合成了生物衍生配体Na-Ni-MOF-700催化剂，用于大豆油制备脂肪酸甲酯（FAME），并从催化活性、可重复使用性、生命周期成本（LCC）和环境因子（e因子）等方面对其工业潜力进行了综合评价。将Na2CO3浸渍在生物衍生配体Ni-MOF载体上制备催化剂。表征结果表明，Ni- mof载体具有较高的比表面积（400.38 m2/g），并在N2煅烧后形成包裹Ni/NiO颗粒的碳基体。这种结构实现了磁分离，抑制了活性位点的浸出。通过田口设计优化的反应条件（甲醇与油的摩尔比为15:1，催化剂重量为3wt %，温度为75°C，反应时间为3 h）可获得99.87%的FAME收率。该催化剂表现出较强的催化稳定性，重复使用6次后，FAME收率保持在90%以上。LCC分析表明，大豆FAME的生产成本为0.85美元/公斤，与NaOH相比降低了20%。其环境相容性e因子为0.57。这些结果证明了mof催化剂在平衡绿色化学过程的高活性、可重用性和可持续性方面的潜力。

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引用次数: 0

Thermal stress analysis of parabolic dish solar collector: Impact of geometric, operational, and environmental factors 抛物面式太阳能集热器的热应力分析：几何、操作和环境因素的影响

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-22 DOI: 10.1016/j.renene.2026.125333

Yingxue Lu , Yuan Zhi , Xiaohui Yu , Qilin Peng , Bin Yang , Ruiqiang Ma

Thermal stress induced by high-flux irradiation constitutes a critical constraint on the long-term reliability of parabolic dish solar collector (PDSC) receivers. To elucidate the complex thermomechanical behavior at a system level, this study develops a rigorously validated multi-physics model integrating Monte Carlo Ray Tracing, Finite Volume Method, and Finite Element Method (MCRT-FVM-FEM). Through a systematic parametric analysis of geometric, operational, and environmental variables, the study reveals an intrinsic trade-off between thermal efficiency and structural integrity. The results indicate that strategies intended to maximize thermal output—such as enlarging the reflector aperture or reducing the mass flow rate—inevitably exacerbate mechanical stress. Notably, the investigation identifies a dual effect of tracking error: while typically detrimental to optical efficiency, a controlled deviation of 6° is found to mitigate peak stress by 47.76 % through the homogenization of the temperature field. These findings provide a theoretical basis for stress-constrained optimization and offer guidance for developing adaptive control strategies that balance high-performance operation with long-term durability.

高通量辐射引起的热应力是影响抛物碟式太阳能集热器（PDSC）长期可靠性的关键因素。为了在系统层面阐明复杂的热力学行为，本研究建立了一个经过严格验证的多物理场模型，该模型集成了蒙特卡罗光线追踪、有限体积法和有限元法（mrt - fvm - fem）。通过对几何、操作和环境变量的系统参数分析，研究揭示了热效率和结构完整性之间的内在权衡。结果表明，旨在最大化热输出的策略，如扩大反射镜孔径或降低质量流量，不可避免地会加剧机械应力。值得注意的是，该研究发现了跟踪误差的双重影响：虽然通常对光学效率有害，但通过温度场的均匀化，发现6°的可控偏差可以减轻47.76%的峰值应力。这些发现为应力约束优化提供了理论基础，并为开发平衡高性能运行和长期耐久性的自适应控制策略提供了指导。

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引用次数: 0

Assessing the long-term feasibility of net-zero energy houses in Slovenia: Impacts of climate scenarios, roof design, and technological progress 评估斯洛文尼亚净零能耗房屋的长期可行性：气候情景、屋顶设计和技术进步的影响

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-22 DOI: 10.1016/j.renene.2026.125315

Luka Pajek , Marco S. Fernandes , Eugénio Rodrigues

This study assesses the long-term viability of high-performance detached houses in Slovenia as net-zero energy buildings (NZEBs) under future climate change. Using a bottom-up approach, over one million energy models—calibrated against a sample of 78 real houses—were simulated across 12 Slovenian cities. The analysis integrated future climate projections from a 20-model ensemble (SSP2-4.5 and SSP3-7.0) with scenarios for technological advancements in HVAC and photovoltaic (PV) systems. Our findings demonstrate that, under optimistic technology development scenarios, projected efficiency gains significantly outweigh the climate-driven rise in cooling demand. Specifically, the solar-ready roof area required to achieve winter energy balance is projected to decrease by a factor of up to 6.5 by 2080, making long-term NZEB status attainable. However, achieving a year-round energy balance remains a critical challenge, particularly during winter in colder regions, where gable roofs perform poorly for PV generation compared to pitched or flat roofs. The results highlight that roof design is a decisive factor for NZEB feasibility. We conclude that realizing Slovenia's NZEB potential requires a shift away from restrictive, one-size-fits-all urban planning guidelines towards more flexible, site-specific design frameworks that optimize on-site renewable energy generation.

本研究评估了斯洛文尼亚高性能独立式住宅在未来气候变化下作为净零能耗建筑（nzeb）的长期可行性。采用自下而上的方法，对斯洛文尼亚12个城市的78个真实房屋样本进行了校准，模拟了超过100万个能源模型。该分析将20个模式集合（SSP2-4.5和SSP3-7.0）的未来气候预测与暖通空调和光伏（PV）系统的技术进步情景相结合。我们的研究结果表明，在乐观的技术发展情景下，预计的效率收益大大超过了气候驱动的制冷需求增长。具体来说，到2080年，实现冬季能源平衡所需的太阳能屋顶面积预计将减少6.5倍，从而实现长期的NZEB状态。然而，实现全年能量平衡仍然是一个关键的挑战，特别是在寒冷地区的冬季，山墙屋顶与斜屋顶或平屋顶相比，光伏发电性能较差。结果表明，屋顶设计是NZEB可行性的决定性因素。我们的结论是，实现斯洛文尼亚的NZEB潜力需要从限制性的、一刀切的城市规划指导方针转向更灵活的、针对特定场地的设计框架，以优化现场可再生能源的生产。

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引用次数: 0

Energy optimization and efficacy study of a portable photovoltaic-hydrogen coupled atomization system for sports rehabilitation 便携式运动康复光伏-氢耦合雾化系统能量优化及功效研究

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-21 DOI: 10.1016/j.renene.2026.125325

Jiahong Guo , Wei Zhang , Pengxu Chen , Xiding Zeng , Kun Yang , Zhangyu Li , Ruiwen Zou , Xuhong Wang

Rapid recovery from exercise-induced fatigue remains a critical challenge in sports rehabilitation. A portable photovoltaic-hydrogen coupled atomization system (PHCAS) was developed to utilize solar energy for autonomous hydrogen production and atomized delivery, which provides a sustainable and eco-friendly solution for post-exercise fatigue alleviation. The system integrates photovoltaics, electrolysis, and atomization in a three-stage framework, which achieves complete solar-to-hydrogen-to-spray energy conversion with optimized dynamic energy transfer. Key operational parameters, such as electrolyzer power, underwent collaborative optimization through a systemic approach that significantly improved energy utilization efficiency. Adaptively designed for leisure, fitness, and sports scenarios, the system demonstrated energy-saving and emission-reduction benefits through energy and carbon footprint assessments. The results indicate that the overall energy conversion efficiency of the system reaches 22.07 %. An effective supply of hydrogen-rich water is achieved, with subjective fatigue significantly reduced by 12 %. Differentiated energy consumption and carbon emission profiles are observed across multiple scenarios. Higher energy efficiency is demonstrated in fitness centers and event scenarios. Furthermore, it demonstrated distinct scenario-specific energy use and carbon emission profiles, with higher energy efficiency observed in environments such as fitness centers and sports venues. This study validates PHCAS potential in sports rehabilitation and establishes a technical foundation for application.

快速从运动引起的疲劳中恢复仍然是运动康复的一个关键挑战。开发了一种便携式光伏-氢耦合雾化系统（PHCAS），利用太阳能进行自主制氢和雾化输送，为缓解运动后疲劳提供了可持续和环保的解决方案。该系统集成了光伏、电解、雾化三个阶段的框架，实现了太阳能-氢-喷雾的完整能量转换，并优化了动态能量传递。关键操作参数，如电解槽功率，通过系统方法进行协同优化，显著提高了能源利用效率。该系统为休闲、健身和运动场景量身定制，通过能源和碳足迹评估展示了节能减排效益。结果表明，该系统的总能量转换效率达到22.07%。实现了富氢水的有效供应，主观疲劳显着减少了12%。在多个情景下观察到不同的能源消耗和碳排放概况。在健身中心和活动场景中展示了更高的能源效率。此外，它还展示了不同场景的能源使用和碳排放概况，在健身中心和体育场馆等环境中观察到更高的能源效率。本研究验证了PHCAS在运动康复中的潜力，为其应用奠定了技术基础。

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引用次数: 0

Combustion potential of pinewood pyrolysis oil blend with heavy fuel oil: Insights into rheological compatibility and calorific performance 松木热解油与重质燃料油混合物的燃烧潜力：对流变相容性和热学性能的见解

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-21 DOI: 10.1016/j.renene.2026.125324

Omvesh , Harish Alagani , D. Giribabu , Prashant Kumar Srivastava , Thallada Bhaskar , Venkata Chandra Sekhar Palla

The demand for sustainable energy is encouraging industries to replace fossil fuels with alternative renewable fuel sources, partially. This work examines the fuel thermo-physical properties of furnace oil and pinewood pyrolysis oil, as well as the potential for blending pinewood pyrolysis oil with furnace oil. Gross calorific value, viscosity, and auto ignition temperature analysis of blends containing 2.5–25 wt% pyrolysis oil was evaluated. The blends containing up to 10 wt% pyrolysis oil demonstrated a calorific value of approximately 41 MJ/kg, while also exhibiting acceptable ignition and flow properties over typical operating temperatures. These properties align well with the operational requirements of industrial combustion systems, providing a viable way to minimise fossil fuel dependency without significant changes to existing industrial combustion infrastructure. However, blends exceeding 10 wt% resulted in a considerable decrease in calorific value and an increase in auto ignition temperature, highlighting a practical limitation. These findings suggest that low-level bio-oil blending (≤10 wt%) offers a technically feasible route to reduce fossil fuel use in existing furnace oil-fired systems with minimal retrofit. The work highlights the practical limitations of incorporating bio-oil and outlines a pathway for the industry to gradually introduce bio-based fuels while controlling performance risks and operational costs.

对可持续能源的需求在一定程度上鼓励工业用可再生能源替代化石燃料。本研究考察了炉油和松木热解油的燃料热物理性质，以及将松木热解油与炉油混合的可能性。对含有2.5 - 25wt %热解油的共混物进行了总热值、粘度和自燃温度分析。含有高达10 wt%热解油的混合物显示出约41 MJ/kg的热值，同时在典型工作温度下也表现出可接受的点火和流动性能。这些特性很好地符合工业燃烧系统的运行要求，提供了一种可行的方法，在不对现有工业燃烧基础设施进行重大改变的情况下，最大限度地减少对化石燃料的依赖。然而，超过10 wt%的混合物会导致热值的显著降低和自动点火温度的升高，这突出了实际的局限性。这些发现表明，低水平的生物油混合（≤10 wt%）提供了一种技术上可行的途径，可以减少现有炉燃油系统中化石燃料的使用，而只需进行最小的改造。这项工作强调了加入生物油的实际局限性，并概述了行业在控制性能风险和运营成本的同时逐步引入生物基燃料的途径。

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引用次数: 0

Green fuel innovation for renewable energy: Engine response optimization of BaTiO3-Modified Spirulina microalgae biodiesel (3rd generation) –diesel blends with RSM 面向可再生能源的绿色燃料创新：batio3改性螺旋藻微藻生物柴油（第三代）与RSM混合柴油发动机响应优化

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-21 DOI: 10.1016/j.renene.2026.125331

Ahmet Canan , Rahman Çalhan , Samet Uslu

In the present study, biodiesel was produced via transesterification from Spirulina microalgae oil (SMO) to develop a sustainable and environmentally friendly alternative fuel. The produced biodiesel was blended with commercial diesel fuel at different ratios and tested in a single-cylinder diesel engine under six engine load conditions ranging from 500 to 3000 W. Based on performance and emission evaluations, the B10D90 blend was identified as the most suitable base fuel. Subsequently, barium titanate (BaTiO₃) nanoparticles were added to the B10D90 blend at concentrations of 50, 100, and 150 ppm to enhance combustion behavior and reduce exhaust emissions. The combined effects of engine load and nanoparticle concentration were systematically analyzed using Response Surface Methodology (RSM) to identify optimal operating conditions. The results indicate that BaTiO₃ nanoparticle addition improved brake thermal efficiency and reduced brake specific fuel consumption, carbon monoxide, and unburned hydrocarbon emissions under optimized conditions. Overall, the findings demonstrate that BaTiO₃-assisted microalgae biodiesel–diesel blends offer a promising approach for improving engine performance and emission characteristics, highlighting the potential of nanoparticle-assisted biofuels for cleaner and more sustainable diesel engine operation.

本研究以螺旋藻微藻油（SMO）为原料，通过酯交换反应制备生物柴油，开发一种可持续、环保的替代燃料。将合成的生物柴油与商用柴油按不同比例混合，并在500至3000瓦的6种发动机负载条件下，在一台单缸柴油机上进行测试。基于性能和排放评估，B10D90混合燃料被确定为最合适的基础燃料。随后，将钛酸钡（BaTiO3）纳米颗粒以50、100和150 ppm的浓度添加到B10D90混合物中，以增强燃烧性能并减少废气排放。采用响应面法（RSM）系统分析了发动机负荷和纳米颗粒浓度的综合影响，确定了最佳运行条件。结果表明，在优化条件下，BaTiO3纳米颗粒的加入提高了制动热效率，降低了制动比油耗、一氧化碳和未燃烧烃排放。总体而言，研究结果表明，batio3辅助微藻生物柴油-柴油混合物为改善发动机性能和排放特性提供了一种有前途的方法，突出了纳米颗粒辅助生物燃料在更清洁、更可持续的柴油发动机运行方面的潜力。

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引用次数: 0

A novel reconfiguration strategy for PV system under mismatch irradiance with experimental validation and machine learning-driven fault detection and diagnosis 基于实验验证和机器学习驱动的故障检测与诊断的不匹配辐照度下光伏系统重构策略

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-21 DOI: 10.1016/j.renene.2026.125323

Sumit Kataria , Mohit Kumar , Afzal Sikander

The photovoltaic systems are increasingly adopted as sustainable energy sources, yet their performance is severely affected by partial shading. Reconfiguring the connections of the PV array is an effective way to reduce the negative effects of partial shading. Therefore, motivated by various reconfiguration techniques available in the literature, this study contributes a novel PV array reconfiguration strategy based on Snake Optimizer algorithm. A 9×9 PV array demonstrates that the proposed Snake Optimizer consistently outperforms the conventional total cross-tied, Improved Northern Goshawk Optimization, and Triple X Sudoku methods in terms of overall performance and effectiveness. Furthermore, to ensure reliable operation under hardware degradation, a machine learning framework is also employed for fault detection, diagnosis, and classification. Additionally, a 3×3 experimental testbed validates the proposed Snake Optimizer-based reconfiguration in real-world conditions, confirming its effectiveness in mitigating shading effects. In order to show the efficacy of the proposed Snake Optimizer, it is employed for the symmetrical, asymmetrical PV array and scalable to larger photovoltaic system. It is observed that it offers a practical and robust solution for improving PV energy harvesting under non-uniform irradiance.

光伏系统作为可持续能源越来越多地被采用，但其性能受到部分遮阳的严重影响。重新配置光伏阵列的连接是减少部分遮阳的负面影响的有效方法。因此，在文献中各种重构技术的激励下，本研究提出了一种基于Snake优化算法的新型光伏阵列重构策略。9×9光伏阵列表明，所提出的Snake优化器在整体性能和有效性方面始终优于传统的全交联、改进的北方苍鹰优化和Triple X Sudoku方法。此外，为了保证硬件退化情况下的可靠运行，还采用了机器学习框架进行故障检测、诊断和分类。此外，3×3实验测试平台验证了在现实世界条件下提出的基于Snake优化器的重构，确认了其在减轻阴影效果方面的有效性。为了显示所提出的Snake优化器的有效性，将其用于对称、不对称光伏阵列，并可扩展到更大的光伏系统。结果表明，该方法为提高非均匀辐照下的光伏能量收集提供了一种实用、可靠的解决方案。

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引用次数: 0

Renewable energy and the macroeconomic space in India: A Bayesian VAR approach 印度的可再生能源和宏观经济空间：贝叶斯VAR方法

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-21 DOI: 10.1016/j.renene.2026.125298

Swapnanil SenGupta , Anshita Sachan , Gagan Deep Sharma

India's rapid rise as a global renewable energy producer is occurring alongside a significant economic transformation. The present study explores the relationship between renewable energy production (REN) and key economic drivers, namely, Gross Domestic Product (GDP), foreign direct investment (FDI), trade openness, patents, oil production, and public-private participation in energy over the period from 1990 to 2021. Using a Bayesian Vector Autoregression (BVAR) framework, we uncover nonlinear and time-varying effects: patents stimulate renewable output but with diminishing returns, FDI consistently suppresses growth in renewables, GDP exhibits an inverted U-shaped relationship, and trade openness follows a U-shaped trajectory. Oil production initially supports but later crowds out renewable generation, while private investment shows delayed positive effects after an initial drag. Variance decomposition highlights a shift from self-driven dynamics in the short run toward macroeconomic and structural determinants in the long run, with GDP, FDI, and R&D increasingly explaining variation in REN over time. The findings posit that renewable energy in India is both a driver and a product of wider economic shifts, calling for policies that synchronise innovation, trade, finance, and energy governance to ensure a resilient low-carbon transition.

印度作为全球可再生能源生产国的迅速崛起，伴随着重大的经济转型。本研究探讨了1990年至2021年期间，可再生能源生产（REN）与主要经济驱动因素（即国内生产总值（GDP）、外国直接投资（FDI）、贸易开放、专利、石油生产和能源公私参与）之间的关系。利用贝叶斯向量自回归（BVAR）框架，我们发现了非线性和时变效应：专利刺激可再生能源产出但收益递减，FDI持续抑制可再生能源增长，GDP呈现倒u型关系，贸易开放遵循u型轨迹。石油生产最初支持可再生能源发电，但后来排挤了可再生能源发电，而私人投资在最初的拖累之后显示出延迟的积极影响。方差分解强调了从短期的自我驱动动态向长期的宏观经济和结构决定因素的转变，GDP、FDI和r&d越来越多地解释了REN随时间的变化。研究结果认为，印度的可再生能源既是更广泛的经济转型的驱动因素，也是其产物，因此需要制定同步创新、贸易、金融和能源治理的政策，以确保有弹性的低碳转型。

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引用次数: 0

Transformation of reanalysis data for improved long-term estimation of wind speed and direction at a target site 转换再分析资料，以改善目标地点风速和风向的长期估计

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-01-20 DOI: 10.1016/j.renene.2026.125280

José A. Carta, Pedro Cabrera

This paper proposes the use of measure-correlate-predict (MCP) methods based on supervised machine learning (ML) techniques to transform reanalysis data from ERA5 and MERRA2, aiming to improve the long-term estimation of wind speed and direction at locations with limited on-site measurements. The study analyzes models that directly estimate the target variables—wind speed and direction—as well as two-stage models that first estimate the Cartesian components of wind velocity and subsequently transform them into polar coordinates.

As a case study, hourly mean wind data recorded between 2001 and 2023 at 10 m above ground level are used. The data were collected from an anemometric station located on the island of Gran Canaria (Canary Archipelago, Spain).

Key findings include the following: (a) Reanalysis data underestimate actual wind speeds and fail to adequately represent the mean wind direction; (b) although reanalysis data poorly represent the daily wind speed profile, the MCP model significantly corrects this, achieving a Pearson correlation of 0.994; (c) the MCP method minimizes the differences between observed and estimated values (7.2 m/s vs. 7.13 m/s, and 4.49° vs. 4.50°, respectively); (d) the combination of ERA5 and MERRA2 consistently yields the lowest estimation errors, regardless of model type; (e) artificial neural networks outperform other ML techniques in all scenarios; and (f) the proposed method reduces the mean relative error in wind power density estimation to 13.89 %, compared to 43 % and 63.1 % using MERRA2 and ERA5 alone, respectively.

本文提出使用基于监督机器学习（ML）技术的测量相关预测（MCP）方法对ERA5和MERRA2的再分析数据进行转换，旨在改善现场测量有限的地点对风速和风向的长期估计。该研究分析了直接估计目标变量（风速和风向）的模型，以及首先估计风速的笛卡尔分量并随后将其转换为极坐标的两阶段模型。作为案例研究，我们使用了2001年至2023年在地面以上10米处记录的每小时平均风数据。数据是从位于大加那利岛（西班牙加那利群岛）的风速观测站收集的。主要发现包括：(a)再分析资料低估实际风速，未能充分代表平均风向；(b)虽然再分析数据不能很好地反映日风速廓线，但MCP模型显著地纠正了这一点，Pearson相关系数为0.994；(c) MCP方法将观测值与估计值之间的差异最小化（分别为7.2 m/s vs. 7.13 m/s, 4.49°vs. 4.50°）；(d)无论模型类型如何，ERA5和MERRA2的组合始终产生最低的估计误差；(e)人工神经网络在所有场景下都优于其他ML技术；(f)与单独使用MERRA2和ERA5估算的平均相对误差分别为43%和63.1%相比，本文方法将风电密度估算的平均相对误差降低至13.89%。

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引用次数: 0