Solar Energy最新文献_第2页

Experimental and theoretical insights into Bi4O5I2-based photocatalysts and their innovations for toxic organic mineralization 基于bi4o5i2的光催化剂及其在有毒有机矿化中的创新的实验和理论见解

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-16 DOI: 10.1016/j.solener.2025.114268

Bassim H. Graimed , Zaid H. Jabbar

The increased demand for outstanding and sustainable semiconductor heterojunctions highlighted bismuth oxyiodide (Bi₄O₅l₂) as a promising photocatalyst due to its attractive light utilization, intrinsic electric field, and favorable layered structure. Our review introduces a deep description of the latest progress in synthesis, characterization, structure modifications, and photocatalytic activity of Bi₄O₅l₂-based heterojunction. Particularly, it was focused on the morphology control and composite formation of Bi₄O₅l₂-based nanomaterials via solvothermal, hydrothermal, and ultrasonic-assisted strategies, exhibiting well-integrated Bi₄O₅l₂-based heterojunctions with upgraded charge dynamic and surface characteristics. The architecture and chemical states of the Bi₄O₅l₂-based hybrid materials were clarified through a combination of density functional theory (DFT) calculations and several experimental characterization techniques, including XRD, FT-IR, Raman, and XPS. Together, these methods provided consistent evidence for the stability of the structure, the compatibility at the interfaces, and the electronic features of the composite materials. The morphological and optical investigations declared that defect modulation, surface modification, and metal or rare-earth doping narrow the band gap and expand the light consumption of Bi₄O₅l₂-based hybrids. Besides, key heterojunction mechanisms, like Z-scheme, S-scheme, Type-I, Type-II, p-n, and Schottky systems, were extremely assessed to clarify the improved photocarrier transportation over the integration of Bi₄O₅l₂. The role of Bi₄O₅l₂-based hybrids in diverse organic degradation was discussed and optimized with catalyst dosage, pH, and coexisting ions, understanding the relationship between radical generation and surface chemistry. The organic degradation intermediates over Bi₄O₅l₂-based hybrids were analyzed using QSAR, DFT, LC-MS, and fluorescence analyses. Finally, the ideal design of Bi₄O₅l₂-based systems introduced exceptional perspective for sustainable water treatment and environmental restoration.

随着半导体异质结需求的不断增加，氧化铋（Bi4O5l2）因其具有良好的光利用率、内在电场和良好的层状结构而成为一种有前途的光催化剂。本文综述了bi4o5l2基异质结的合成、表征、结构修饰和光催化活性等方面的最新进展。特别是，通过溶剂热、水热和超声辅助策略，重点研究了bi4o5l2基纳米材料的形态控制和复合形成，表现出良好集成的bi4o5l2基异质结，并改善了电荷动力学和表面特性。通过密度泛函理论（DFT）计算和多种实验表征技术（包括XRD， FT-IR， Raman和XPS）的结合，澄清了bi4o5l2基杂化材料的结构和化学状态。总之，这些方法为复合材料的结构稳定性、界面相容性和电子特性提供了一致的证据。形态学和光学研究表明，缺陷调制、表面改性和金属或稀土掺杂可以缩小bi4o5l2基杂化材料的带隙并扩大其光耗。此外，对关键异质结机制（如Z-scheme、S-scheme、Type-I、Type-II、p-n和Schottky体系）进行了评估，以阐明Bi4O5l2集成后光载流子输运的改善。探讨了bi4o5l2基杂化物在多种有机降解中的作用，并根据催化剂用量、pH和共存离子对其进行了优化，了解了自由基生成与表面化学的关系。利用QSAR、DFT、LC-MS和荧光分析分析了bi4o5l2基杂交种的有机降解中间体。最后，基于bi4o5l2的系统的理想设计为可持续水处理和环境恢复提供了独特的视角。

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引用次数: 0

Integrated PV, green roofs, and BIPV screens for energy and heat mitigation in Osaka 综合光伏、绿色屋顶和BIPV屏幕，用于大阪的能源和热量缓解

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-16 DOI: 10.1016/j.solener.2025.114260

Xiong Xiao , Erlin Zou , Mostafa Mohajerani , Fatemeh Salehipour Bavarsad , Zhichao Jiao , Jiale Chai , Xiangfei Kong , Jihui Yuan

Osaka’s Chuo Ward, a high-density urban district, faces intensifying urban heat island (UHI) effects and rising energy demands driven by urbanization and climate change. This study integrates rooftop solar photovoltaic (PV) panels (20 % coverage), extensive green roofs (20 % coverage), and building-integrated photovoltaic (BIPV) roller screens (40 % window-to-wall ratio) to enhance energy efficiency and urban resilience. Using Rhino Grasshopper with Ladybug Tools, solar energy potential is modeled under current (2020s) and future (2090s) climate scenarios, revealing a 10.4 % reduction in annual rooftop solar radiation and an 8.2 % decrease for facades by the 2090s. Green roofs synergistically boost PV efficiency by 5 % via evaporative cooling, raising annual generation from 663,450 kWh to 696,622.5 kWh in the 2020s (using projected high-efficiency modules expected to reach ∼30 % cell efficiency by ∼2030). Combined strategies reduce peak Physiological Equivalent Temperature (PET) by 7.8 °C versus 6.5 °C for additive individual effects, confirming non-linear thermal synergy. ENVI-met simulations show the combined system reduces peak PET by 6–8 °C and pedestrian-level air temperatures by 1–3 °C, improviing thermal comfort indices (PET, SET, PMV, UTCI) despite a 9.4 °C rise in peak summer temperatures by the 2090s. Aligned with Japan’s Zero Energy Building (ZEB) goals and the Paris Agreement, this scalable model offers insights for subtropical urban design. Limitations include a single future climate scenario and omitted economic analysis. Future work should assess lifecycle emissions and cost-effectiveness to support practical implementation.

大阪中央区是一个高密度的城区，面临着日益加剧的城市热岛效应和城市化和气候变化推动的能源需求上升。本研究整合了屋顶太阳能光伏（PV）板（20%覆盖率）、广泛的绿色屋顶（20%覆盖率）和建筑集成光伏（BIPV）滚动屏（40%窗墙比），以提高能源效率和城市弹性。利用Rhino Grasshopper和瓢虫工具，在当前（2020年）和未来（2090年）的气候情景下对太阳能潜力进行了建模，结果显示，到2090年，屋顶太阳能辐射每年减少10.4%，立面减少8.2%。绿色屋顶通过蒸发冷却协同提高了5%的光伏效率，将年发电量从663,450千瓦时提高到本世纪20年代的696,622.5千瓦时（使用预计到2030年将达到30%电池效率的高效模块）。综合策略将峰值生理等效温度（PET）降低了7.8°C，而单独效应降低了6.5°C，证实了非线性热协同作用。ENVI-met模拟显示，尽管到20世纪90年代夏季峰值气温将上升9.4℃，但该组合系统可将峰值PET降低6-8℃，将行人水平的空气温度降低1-3℃，提高热舒适指数（PET、SET、PMV、UTCI）。与日本的零能耗建筑（ZEB）目标和巴黎协定相一致，这种可扩展的模型为亚热带城市设计提供了见解。局限性包括单一的未来气候情景和省略的经济分析。未来的工作应评估生命周期排放和成本效益，以支持实际实施。

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引用次数: 0

ANN-based prediction of photosynthetically active radiation (PAR) in an agrivoltaic greenhouse system 基于人工神经网络的农业温室系统光合有效辐射（PAR）预测

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-16 DOI: 10.1016/j.solener.2025.114257

Olga Di Marino , Jesús Montes Romero , Alejandro Cruz-Escabías , Carlo Renno , Eduardo F. Fernández , Florencia Almonacid Cruz

Agrivoltaics represents an innovative approach that mitigates land-use conflicts between the energy and agricultural sectors. The integration of semi-transparent photovoltaic modules into agriculture is a valid strategy for increasing the availability of solar radiation incident on crops. These modules modify the spectral distribution of solar radiation and the amount of Photosynthetically Active Radiation (PAR) available for photosynthesis. However, direct PAR measurement is limited worldwide, making it necessary to use empirical models for its prediction. The aim of this paper is to fill this gap by presenting a Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) model developed to predict PAR in semi-transparent agrivoltaic greenhouses. The network was trained using experimental data collected at the University of Jaén on two agrivoltaic greenhouses: a control unit with transmissivity of 92% and a semi-transparent configuration with transmissivity of 20%. Specifically, the input variables considered for this study are global radiation on the array plane (G_poa), angle of incidence (AOI), air mass (AM) and transmittance coefficient (CT) of the modules. The model shows excellent convergence between the predicted and target values for both greenhouse configurations, with an average correlation coefficient (R) of 0.99 and a Normalized Mean Squared Error (nMSE) equal to 0.0135.

农业发电代表了一种创新的方法，可以缓解能源和农业部门之间的土地使用冲突。将半透明光伏组件集成到农业中是一种有效的策略，可以增加太阳辐射对作物的可用性。这些模块修改太阳辐射的光谱分布和光合作用可用的光合有效辐射（PAR）的量。然而，直接的PAR测量在世界范围内是有限的，因此有必要使用经验模型进行预测。本文的目的是通过提出一种多层感知器（MLP）人工神经网络（ANN）模型来填补这一空白，该模型用于预测半透明农业光伏温室的PAR。该网络是用在两个农业发电温室上收集的实验数据进行训练的：一个控制单元的透射率为92%，一个半透明配置的透射率为20%。具体来说，本研究考虑的输入变量是阵列平面上的总辐射（Gpoa）、入射角（AOI）、空气质量（AM）和模块的透射系数（CT）。模型对两种温室配置的预测值和目标值具有很好的收敛性，平均相关系数(R)为0.99，归一化均方误差（nMSE）为0.0135。

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引用次数: 0

Impact of a large-scale desert photovoltaic power plant on aeolian saltation and dust emission 大型沙漠光伏电站对风沙跃迁和粉尘排放的影响

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-16 DOI: 10.1016/j.solener.2025.114245

Lihai Tan , Bo Wang , Yuxuan He , Shijun Ma , Ren Na , Lijun Zhao , Yinan Yin , Zhenghe Liu , Jianhua Xiao

Understanding aeolian processes under the impact of large-scale photovoltaic (PV) power plants, which is critical for selecting sand control measures to ensure their operational security, remains inadequately understood, largely because of the lack of systematic field measurements. This study addresses this knowledge gap by conducting high-frequency field measurements of aeolian saltation and dust emission both outside and within a large-scale PV power plant located in the eastern Tengger Desert, China. Our results indicate that the PV array redirected sand-driving winds, steering their flow 26-32° into a direction more parallel to the panel rows. A substantial reduction in wind speed by up to 52.31 % and 59.90 % across the 0.2–2 m height profile was observed inside the array. This consistent degree of wind speed attenuation was established only at a distance of at least 150 m from the edge of the PV array. During the two measured dust events, the sand transport rates decreased from 4.01 to 5.63 g m⁻¹ s⁻¹ at the open reference site to 0.68–0.86 g m⁻¹ s⁻¹ inside the PV array, and the average aeolian transport activity parameter (AP) dropped sharply by approximately 67.5 % and 55.2 %, respectively. Furthermore, the interior of the PV array was identified as a dust deposition zone, evidenced by a positive vertical gradient in PM₁₀ concentration. These findings provide novel insights into aeolian processes within PV arrays in sandy deserts, thereby providing a scientific basis for sand control of large-scale desert PV power plants.

了解大型光伏电站影响下的风沙过程，对于选择防沙措施以确保其运行安全至关重要，这在很大程度上是因为缺乏系统的现场测量，仍然不够充分。本研究通过对位于中国腾格里沙漠东部的大型光伏电站内外的风沙跃动和粉尘排放进行高频现场测量，解决了这一知识差距。我们的研究结果表明，光伏阵列重新定向了起沙风，将其气流转向26-32°，使其更平行于面板排。在0.2-2 m高度剖面上，观察到阵列内部的风速大幅降低了52.31%和59.90%。这种一致程度的风速衰减仅在距离光伏阵列边缘至少150米的距离上建立。在两次沙尘事件中，沙尘输运速率从开放参考点的4.01 ~ 5.63 g m−1 s−1下降到光伏阵列内的0.68 ~ 0.86 g m−1 s−1，平均风输运活度参数（AP）分别急剧下降约67.5%和55.2%。此外，光伏阵列内部被确定为粉尘沉积区，PM10浓度垂直梯度为正。这些发现为沙漠中光伏阵列的风成过程提供了新的见解，从而为大型沙漠光伏电站的治沙提供了科学依据。

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引用次数: 0

Corrigendum to “Low temperature chemical synthesis of Mg doped GaN nanoparticles for high efficiency flexible homojunction solar cells”. [Sol. Energy 303 (2026) 114134] “用于高效柔性均结太阳能电池的Mg掺杂GaN纳米颗粒的低温化学合成”的勘误表。[Sol. Energy 303 (2026) 114134]

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-15 DOI: 10.1016/j.solener.2025.114250

Motahher A. Qaeed , M.K.M. Ali , Asad A. Thahe , Omar F. Farhat , A. mindil , A.I. Aljameel , Ammar AL-Farga

引用次数: 0

Cu(In,Ga)Se2 mini-modules demonstrate damp heat stability exceeding 3000 h via advanced encapsulation and bias management Cu(In,Ga)Se2微型模块通过先进的封装和偏置管理，具有超过3000 h的湿热稳定性

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-15 DOI: 10.1016/j.solener.2025.114254

Dung Nakamoto , Shogo Ishizuka , Yukiko Kamikawa , Jiro Nishinaga , Yoshihiro Hishikawa , Takayuki Negami , Yu Kawano , Shigehiro Ueno , Taiki Takayama , Takashi Minemoto

Cu(In,Ga)Se₂ (CIGSe) solar cells have rapidly advanced over the past decade; however, achieving robust long-term stability is a crucial issue that needs to be solved for their commercial success. Due to the heavy weight and rigid limitation of traditional glass cover, the long-term reliability of photovoltaic modules employing non-glass cover materials is still being developed and investigated. This study comprehensively evaluates a high-barrier flexible encapsulation scheme under extended damp heat (DH) testing. Two CIGSe mini-modules underwent a 3600-hour test, with one was continuously biased near its voltage at the maximum power point (Vmpp) and the other was left under unbiased conditions. Remarkably, both mini-modules exceed the IEC 61215-2 standards, maintaining over 97 % of their efficiencies after over 3000 h of the DH test. Furthermore, the impact of the continuous electrical operation during the DH test is also investigated. The mini-module under Vmpp bias sustained high performance during prolonged DH exposure, but interruption of the bias voltage led to an efficiency decline, which can be reversible. This observation suggests the potential for bias-driven stabilization mechanisms at the material or interface level, necessitating further in-depth investigation to optimize operational protocols for enhanced long-term reliability of flexible CIGSe solar cells in DH environments. The effectiveness of the demonstrated encapsulation strategy provides a significant step toward realizing the full potential of flexible CIGSe technology.

Cu(In,Ga)Se2 （CIGSe）太阳能电池在过去十年中发展迅速；然而，实现强大的长期稳定性是其商业成功需要解决的关键问题。由于传统玻璃盖板的重量大、刚性限制，采用非玻璃盖板材料的光伏组件的长期可靠性仍在开发和研究中。本研究在扩展湿热（DH）测试下综合评价了高阻隔柔性封装方案。两个CIGSe迷你模块进行了3600小时的测试，其中一个在最大功率点（Vmpp）的电压附近连续偏置，另一个处于无偏置条件下。值得注意的是，这两个迷你模块都超过了IEC 61215-2标准，在超过3000小时的DH测试后保持了97%以上的效率。此外，还研究了在DH试验中连续电气操作的影响。Vmpp偏置下的微型模块在长时间的DH暴露下保持高性能，但偏置电压的中断导致效率下降，这是可逆的。这一观察结果表明，在材料或界面水平上存在偏压驱动的稳定机制，需要进一步深入研究，以优化操作方案，提高柔性CIGSe太阳能电池在高温环境下的长期可靠性。所演示的封装策略的有效性为实现柔性CIGSe技术的全部潜力提供了重要的一步。

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引用次数: 0

Semantic-aware data augmentation with edge priors for PV module defect recognition using EL images 基于边缘先验的语义感知数据增强在光电组件缺陷识别中的应用

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-15 DOI: 10.1016/j.solener.2025.114269

Yu Zhu , Yuan Cao , Yuxuan Wu , Qiang Yang

Electroluminescence(EL) imaging enables high-sensitivity detection of hidden electrical and structural defects in photovoltaic(PV) modules, revealing internal faults beyond the reach of visible-light or infrared imaging to support intelligent power plant maintenance. However, the limited number of defective samples presents a serious challenge for deep learning methods. Existing generation models can perform data augmentation, but suffer from domain shift between generated and real images, resulting in limited improvement in detection performance. To address this challenge, a novel semantic-aware data augmentation method with edge priors is proposed. First, the controllable LDM-based generation model is introduced to generate multiple types of defect images. Second, an edge-prior-guided defect recognition network is proposed, which achieves robust defect semantic extraction through the fusion of edge prior features with the backbone network. Finally, to address potential domain shift issues caused by generated data, a semantic-aware data augmentation framework is proposed, which leverages a pre-trained defect semantic estimator to guide the defect recognition process for effective data augmentation. Beyond increasing the number of negative samples, the framework captures defect-related information in the generated data, supplementing the semantic representation of rare defects and thus alleviating dataset imbalance. Extensive experiments across multiple deep neural networks demonstrate an average 7.5% improvement in accuracy compared with the baseline model, confirming the framework’s reliability for PV maintenance while revealing strong scalability and adaptability through its model-agnostic design and robustness to diverse imaging conditions.

电致发光（EL）成像能够高灵敏度地检测光伏（PV）组件中隐藏的电气和结构缺陷，揭示超出可见光或红外成像范围的内部故障，以支持智能电厂维护。然而，有限数量的缺陷样本对深度学习方法提出了严峻的挑战。现有的生成模型可以进行数据增强，但在生成图像和真实图像之间存在域偏移，导致检测性能的提高有限。为了解决这一问题，提出了一种基于边缘先验的语义感知数据增强方法。首先，引入基于可控ldm的缺陷图像生成模型，生成多种类型的缺陷图像。其次，提出了一种边缘先验引导的缺陷识别网络，通过边缘先验特征与骨干网络的融合，实现了缺陷语义的鲁棒提取；最后，为了解决由生成的数据引起的潜在领域转移问题，提出了一个语义感知的数据增强框架，该框架利用预训练的缺陷语义估计器来指导缺陷识别过程，以实现有效的数据增强。除了增加负样本的数量外，该框架还捕获了生成数据中与缺陷相关的信息，补充了罕见缺陷的语义表示，从而缓解了数据集的不平衡。在多个深度神经网络上进行的大量实验表明，与基线模型相比，该模型的准确率平均提高了7.5%，证实了该框架在光伏维护方面的可靠性，同时通过其模型不可知的设计和对不同成像条件的鲁棒性显示了强大的可扩展性和适应性。

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引用次数: 0

Thermoelectric performance analysis of PV curtain walls integrated with phase change cooling and ventilation cooling 相变冷却与通风冷却一体化光伏幕墙热电性能分析

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-15 DOI: 10.1016/j.solener.2025.114234

Wenjie Zhang , Hongyang Guo , Yingbo Zhao , Shichao Wang , Zengzhi Qian , Xuebiao Tan

Building-integrated photovoltaics (BIPV) represent a critical component of renewable energy infrastructure. To mitigate thermal energy accumulation in photovoltaic modules, a hybrid cooling strategy combining phase change materials (PCM) and ventilation is implemented in building-integrated photovoltaics (BIPV), forming ventilated photovoltaic facade system with phase-change cooling (BIPV-PCMV). System performance is evaluated using a numerical heat transfer model. Results indicate that increasing the thermal conductivity of the phase change material significantly enhances overall thermoelectric system performance. Specifically, employing a phase change material with a thermal conductivity of 4 W/(m·K) minimizes total daytime building heat gain by up to 26 %. Furthermore, the system demonstrates significant performance improvements across diverse regions during summer operation. In Guangzhou, peak temperature reductions reach 13.3 °C alongside a 12 % increase in electrical power output; in Kunming, reductions in building heat gain attain 31.36 %.

建筑集成光伏（BIPV）是可再生能源基础设施的重要组成部分。为了减少光伏组件的热能积累，在建筑集成光伏（BIPV）中采用相变材料（PCM）和通风相结合的混合冷却策略，形成具有相变冷却（BIPV- pcmv）的通风光伏立面系统。使用数值传热模型评估系统性能。结果表明，提高相变材料的导热系数可以显著提高热电系统的整体性能。具体来说，采用导热系数为4 W/（m·K）的相变材料可将白天建筑总热增益降低26%。此外，在夏季作业期间，该系统在不同地区的性能都有显著提高。在广州，峰值温度降低达到13.3°C，同时电力输出增加12%；昆明市建筑热增益降低31.36%。

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引用次数: 0

Creating just agrivoltaic transitions for large-scale solar: a comparative multi criteria analysis 为大规模太阳能创造仅仅是农业发电转型：一个比较的多标准分析

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-13 DOI: 10.1016/j.solener.2025.114195

Uzair Jamil , Nischala McDonnell , Peter Davies , Madeline Taylor , Joshua M. Pearce

Agrivoltaics enables synergies between solar photovoltaics and agriculture, offering a dual solution to preserve agricultural activities while producing renewable electricity. Agrivoltaic systems promote agricultural, economic, social, and environmental outcomes, advancing Sustainable Development Goals SDG 2 (Zero Hunger); SDG 7 (Affordable and Clean Energy); SDG 12 (Responsible Consumption and Production); and (SDG 13 Climate Action). While the climate, technological, and agricultural productivity benefits of agrivoltaics are well understood, questions remain concerning its socio-technical opportunities and challenges as a catalyst for just transitions in both mature and emerging agrivoltaics jurisdictions. This study presents the first multi-criteria analysis (MCA)-based just transition assessment of agrivoltaics, providing a novel quantitative and socio-legal framework to evaluate its contribution to equitable energy transitions. Assessing the multifaceted contribution of agrivoltaics to climate, food, and energy security requires quantifying and evaluating benefits and risks to activate just transition-focused policy and legal reform. In turn this can enable the acceleration of socio-technical innovations to achieve landscape-level just agrivoltaics. The MCA framework is applied to three mature European agrivoltaic jurisdictions − Germany, Italy, and France − to guide emerging agrivoltaic practices in Alberta, Canada, and New South Wales, Australia. Applying quantitative and socio-legal functional comparative mixed methods MCA approach, the study provides a replicable framework to inform policy and regulatory design, highlighting opportunities to align agrivoltaic deployment with broader just transition objectives. The study findings offer actionable socio-legal insights for scaling agrivoltaics while embedding just transition principles, with broader implications for energy, climate, and agricultural policy.

农业光伏发电实现了太阳能光伏发电和农业之间的协同效应，在生产可再生电力的同时提供了保护农业活动的双重解决方案。农业光伏系统促进农业、经济、社会和环境成果，推进可持续发展目标2（零饥饿）；可持续发展目标7（可负担的清洁能源）；可持续发展目标12（负责任消费和生产）；（可持续发展目标13气候行动）。虽然农业发电在气候、技术和农业生产力方面的好处得到了很好的理解，但在成熟和新兴的农业发电司法管辖区，作为公正转型的催化剂，其社会技术机遇和挑战仍然存在问题。本研究提出了第一个基于多标准分析（MCA）的农业发电公平转型评估，提供了一个新的定量和社会法律框架来评估其对公平能源转型的贡献。评估农业发电对气候、粮食和能源安全的多方面贡献，需要量化和评估效益和风险，以启动以转型为重点的政策和法律改革。反过来，这可以加速社会技术创新，以实现景观级的农业发电。MCA框架应用于德国、意大利和法国这三个成熟的欧洲农业光伏司法管辖区，以指导加拿大阿尔伯塔省和澳大利亚新南威尔士州新兴的农业光伏实践。该研究采用定量和社会法律功能比较混合方法MCA方法，提供了一个可复制的框架，为政策和监管设计提供信息，突出了将农业光伏部署与更广泛的公正过渡目标相结合的机会。研究结果为扩大农业发电规模提供了可行的社会法律见解，同时嵌入了公正的过渡原则，对能源、气候和农业政策具有更广泛的影响。

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引用次数: 0

Ultra-short-term solar irradiance forecasting based on cloud-type guidance and multimodal fusion 基于云型制导和多模态融合的超短期太阳辐照度预报

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-13 DOI: 10.1016/j.solener.2025.114244

Min Wang , Ran Cao , Hanfei Xie , Yun Jiang , Qiang Huang , Xiang Ou

Ultra-short-term solar irradiance forecasting is of great significance for energy dispatch. Clouds are the primary factor influencing fluctuations in solar irradiance. Existing forecasting methods have not considered the differences in attenuation degrees of different cloud types on solar radiation, and have not fully utilized the coupling relationship among image information, meteorological elements, and historical Global Horizontal Irradiance (GHI). Therefore, this paper proposes a cloud-type-guided multimodal fusion-based GHI forecasting method. First, a method for extracting key feature regions from all-sky images is designed, and the cloud coverage of the key feature regions is calculated. Second, a cloud-type-guided attention mechanism is introduced to alleviate feature aliasing. Third, a differencing transformation strategy is employed to capture the short-term trends in GHI variation. Finally, the features mentioned above and meteorological factors are fused to establish a forecasting model based on the improved Non-stationary Transformers (Ns-Transformer). Experimental results show that this method reduces MAE by 13.77% compared to Transformer and by 10.14% compared to the baseline model Ns-Transformer in 30-minute prediction, enabling end-to-end ultra-short-term GHI prediction. Relative to baseline approaches, it achieves notably higher prediction accuracy for ultra-short-term GHI.

超短期太阳辐照度预报对能源调度具有重要意义。云是影响太阳辐照度波动的主要因素。现有的预报方法没有考虑不同云型对太阳辐射衰减程度的差异，也没有充分利用图像信息、气象要素和历史全球水平辐照度（GHI）之间的耦合关系。为此，本文提出了一种基于云类型引导的多模态融合的GHI预测方法。首先，设计了一种从全天图像中提取关键特征区域的方法，并计算了关键特征区域的云覆盖率；其次，引入云类型引导的注意力机制来缓解特征混叠。第三，采用差异转换策略捕捉GHI变化的短期趋势。最后，将上述特征与气象因素融合，建立了基于改进型非平稳变压器（Ns-Transformer）的预报模型。实验结果表明，该方法在30分钟预测时间内比Transformer模型降低了13.77%的MAE，比Ns-Transformer模型降低了10.14%的MAE，实现了端到端的超短期GHI预测。相对于基线方法，它对超短期GHI的预测精度明显更高。

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引用次数: 0