Renewable Energy最新文献_第4页

Two-stage distributionally robust optimization-based configuration for a wind-PV- storage energy system incorporating seasonal hydrogen storage 结合季节性储氢的风电光伏储能系统的两阶段分布鲁棒优化配置

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125379

Lei Wen, Yanzi Zhang

Under the backdrop of global energy transition, the high-penetration wind and solar integration is facing the dual challenges of output uncertainty and seasonal fluctuation. Against this backdrop, this study presents a wind-PV-storage energy system incorporating seasonal hydrogen storage to facilitate large-scale cross-seasonal renewable energy utilization. To handle multiple uncertainties in wind-PV output and electricity load, an uncertainty set based on composite norms is constructed. A two-stage distributionally robust optimization model based on probability distribution is designed. The first-stage minimizes the system's average annual investment cost to optimize equipment capacities. The second-stage minimizes operation and maintenance costs considering power curtailment penalty in the worst scenario probability distribution of uncertain parameters, to optimize equipment output and the start-stop states of energy storage devices. The resolution of the model is achieved efficiently via the column and constraint generation algorithm. Case studies demonstrate that the system with seasonal hydrogen storage significantly enhances wind-solar complementarity utilization and ensures a stable power supply across seasons compared to non-hydrogen configurations, bringing the system curtailment rate down from 37.68% to 5.00% more cost-effectively. Comparative analysis confirms that the two-stage distributionally robust optimization model based on composite norms achieves a more optimal balance between robustness and economic efficiency.

在全球能源转型的大背景下，高渗透风电和太阳能一体化面临着输出不确定性和季节性波动的双重挑战。在此背景下，本研究提出了一种结合季节性储氢的风能-光伏储能系统，以促进大规模的跨季节可再生能源利用。为了处理风电出力和电力负荷的多重不确定性，构造了基于复合规范的不确定性集。设计了基于概率分布的两阶段分布鲁棒优化模型。第一阶段最大限度地降低系统的年平均投资成本，优化设备容量。第二阶段考虑不确定参数最坏场景概率分布下的限电惩罚，使运维成本最小化，优化设备输出和储能装置启停状态。通过列和约束生成算法有效地实现了模型的分辨率。案例研究表明，与非氢配置相比，具有季节性储氢的系统显著提高了风能-太阳能互补利用率，并确保了跨季节稳定的电力供应，使系统弃电率从37.68%降至5.00%，更具成本效益。对比分析表明，基于复合规范的两阶段分布鲁棒优化模型在鲁棒性与经济效率之间达到了更优的平衡。

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引用次数: 0

Influence of nano-enhanced phase change material on the charging performance for multi-tube non isothermal horizontal latent heat thermal energy storage exchanger 纳米增强相变材料对多管非等温卧式潜热蓄热换热器充能性能的影响

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125355

Shaobin Zhou , Chuang Guan , Shengjie Wang , Jiaqi Sun , Suoying He , Ming Gao

In order to improve the performance of horizontal latent heat thermal energy storage exchanger, this paper proposes a new partition structure of Nano-Enhanced Phase Change Material Non Isothermal Multi-Tube Horizontal Latent Heat Thermal Energy Storage exchanger (NE-MN-LHTES). The influence of Nano-Enhanced Phase Change Material (NEPCM) composition and inner tube position on the charging performance is studied by simulation. The results indicate that placing NEPCM with high, medium and low nanoparticle concentrations in the upper, lower and middle zones of heat exchanger, respectively, which can maximize natural convection and heat conduction effects, the charging performance is superior to that of using NEPCM with one nanoparticle concentration in different zones. Under this NEPCM composition, the response surface method is used to optimize the inner tube position. The better charging performance is achieved when the distances between the top, middle and low inner tubes and outer shell are 19.86 mm, 8.95 mm and 6.24 mm. Compared with the absence of nanoparticle, the local melting time decreases by 20.9%, the charging rate increases by 16%, average temperature and liquid fraction non-uniformity coefficients are 5.57 K and 0.096. The results provide ideas for optimization of single heat exchanger for multi heat sources waste heat recovery.

为了提高卧式潜热储热换热器的性能，本文提出了一种新型隔板结构的纳米增强相变材料非等温多管卧式潜热储热换热器（NE-MN-LHTES）。通过仿真研究了纳米增强相变材料（NEPCM）的组成和内管位置对充电性能的影响。结果表明，在换热器的上、下、中间区域分别放置高、中、低纳米颗粒浓度的NEPCM，可以最大限度地发挥自然对流和热传导效果，其充注性能优于在不同区域使用同一纳米颗粒浓度的NEPCM。在此NEPCM结构下，采用响应面法对内管位置进行优化。上、中、下内管与外壳的距离分别为19.86 mm、8.95 mm和6.24 mm时，装药效果较好。与未添加纳米颗粒相比，局部熔化时间缩短了20.9%，充电速率提高了16%，平均温度和液分不均匀系数分别为5.57 K和0.096。研究结果为单换热器多热源余热回收的优化提供了思路。

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引用次数: 0

Hydrogen production through renewable energy and storage systems: Economic viability and market expansion 通过可再生能源和储存系统制氢：经济可行性和市场扩张

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.renene.2026.125338

Xuwen Cao , Miao Li , Yangcui Weng , Pu Xie

This study proposes the best way to produce green hydrogen by combining a solar-wind renewable energy system with hydro-pumped energy storage and grid connection. The goal is to ensure the electrolyzer operates reliably over the long term while enhancing overall economic performance amid changing conditions in the renewable energy and power markets. We created a mixed-integer nonlinear optimization framework to coordinate the scheduling of hydrogen production, renewable energy generation, energy storage dispatch, and grid interaction. The results show that the integrated renewable energy–hydro-pumped storage–electrolyzer system can operate effectively by strategically importing electricity when prices are low and exporting excess energy when prices are high. Combining storage and market involvement makes the system more flexible and more profitable, enabling stable hydrogen production even when renewable energy sources are not always available. The economic role of hydro-pumped energy storage is strengthened by more variable electricity prices and more renewable energy sources. This results in much greater storage utilization and better system performance. The proposed operational strategy emphasizes the importance of market-responsive energy management and hydrogen production enabled by storage for the economical and reliable deployment of green hydrogen. The framework provides useful guidance on integrating large-scale renewable energy, energy storage, and hydrogen systems in real-world settings, helping drive the shift to low-carbon energy systems and lower emissions.

这项研究提出了将太阳能风能可再生能源系统与抽水蓄能和电网连接相结合来生产绿色氢的最佳方法。目标是确保电解槽长期可靠运行，同时在可再生能源和电力市场不断变化的条件下提高整体经济性能。我们创建了一个混合整数非线性优化框架来协调制氢、可再生能源发电、储能调度和电网交互的调度。结果表明，通过在电价较低时有策略地进口电力，在电价较高时出口过剩能源，可实现可再生能源-抽水蓄能-电解槽一体化系统的有效运行。将储能和市场参与相结合，使系统更灵活、更有利可图，即使在可再生能源并不总是可用的情况下，也能实现稳定的氢气生产。更可变的电价和更多的可再生能源加强了抽水蓄能的经济作用。这将带来更高的存储利用率和更好的系统性能。拟议的运营战略强调了市场响应型能源管理和氢生产的重要性，通过储能实现绿色氢的经济可靠部署。该框架为在现实环境中整合大规模可再生能源、储能和氢系统提供了有用的指导，有助于推动向低碳能源系统和低排放的转变。

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引用次数: 0

City-scale estimation of actual available rooftop areas for solar photovoltaic using a two-stage SegFormer based model 使用基于两阶段SegFormer模型的太阳能光伏屋顶实际可用面积的城市尺度估计

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.renene.2026.125342

Lingshuang Dong , Jinfeng Xie , Yi Zhang

Development of rooftop photovoltaic (RPV) systems in the urban area plays a crucial role in sustainable energy transformation. However, few studies have accurately assessed RPV potential with the consideration of various superstructures that prevent installation. To address this gap, this study presents a Two-Stage Available RPV Area Extraction (TS-ARPVAE) model based on SegFormer to precisely identify areas suitable for RPV installation in complex urban environments. The proposed model comprises two stages: RoofSeg for extracting roof boundaries and AvailSeg for identifying available areas by excluding rooftop superstructures. To support model development, we established the first comprehensive dataset focusing on available RPV areas in urban contexts, featuring diverse rooftop categories and standardized annotation protocols. The model achieves 93.28 % accuracy, outperforming traditional single-stage approaches. Applied to Shenzhen, China, our analysis reveals that 110.5 km² (64 %) of the total 170.9 km² rooftop area is suitable for RPV installation, with industrial and warehousing buildings showing the highest installation potential. Buildings with larger roof areas exhibit higher percentages of available RPV area. Across Shenzhen's nine districts, the availability percentages range from 56.24 % to 76.82 %. Shenzhen's estimated rooftop solar capacity could reach 22.1 GW, with potential generation of 19,028.8 GWh in 2024.

城市屋顶光伏（RPV）系统的发展在可持续能源转型中起着至关重要的作用。然而，很少有研究在考虑各种上部结构阻碍安装的情况下准确评估RPV潜力。为了解决这一差距，本研究提出了一种基于SegFormer的两阶段可用RPV区域提取（TS-ARPVAE）模型，以精确识别复杂城市环境中适合RPV安装的区域。所提出的模型包括两个阶段：用于提取屋顶边界的RoofSeg和用于通过排除屋顶上层建筑来识别可用区域的AvailSeg。为了支持模型开发，我们建立了第一个综合数据集，重点关注城市背景下可用的RPV区域，具有不同的屋顶类别和标准化的注释协议。该模型的准确率达到93.28%，优于传统的单阶段方法。以中国深圳为例，我们的分析显示，在170.9平方公里的屋顶面积中，有110.5平方公里（64%）适合安装RPV，其中工业和仓储建筑的安装潜力最大。屋顶面积较大的建筑物显示出更高的可用RPV面积百分比。在深圳的9个区，住房空置率从56.24%到76.82%不等。据估计，深圳的屋顶太阳能容量将达到22.1吉瓦，2024年的潜在发电量将达到19028.8吉瓦时。

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引用次数: 0

A global component-level operation optimization method for distributed energy systems with solid oxide fuel cell 固体氧化物燃料电池分布式能源系统整体组件级运行优化方法

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-04 DOI: 10.1016/j.renene.2026.125391

Xiuxia Hao , Keqi Chen , Wenjie Gang , Zhengkai Tu

Distributed energy system integrated with solid oxide fuel cell (DES&SOFC) can be an efficient alternative to hydrogen utilization in buildings. Energy storage systems can help improve the system's reliability and efficiency. Appropriate control plays an important role in improving the performance of DES&SOFCs. In this study, a global component-level operation optimization method is proposed for the DES&SOFC with energy storage by decoupling the integration of the thermal and electrical energy systems. The optimal operation of primary components (i.e. states, loads, temperature, fan speed, power change/discharge, etc.) is obtained considering the low-carbon interaction with the grid. The method is verified in a DES&SOFC system serving an office building. Results demonstrate that the proposed method can effectively improve the energy efficiency of the DES&SOFC system and 9.4% less electricity is consumed to meet the thermal demands compared with the traditional method. The flexibility of the DES&SOFC system is enhanced which can always respond to the grid with lower emissions. The total carbon dioxide emissions can be reduced by 19.7% and 29.9% on the two typical days. This study would provide very practical and effective technical support to promote the application of SOFC and hydrogen in commercial buildings and communities.

与固体氧化物燃料电池（DES&；SOFC）集成的分布式能源系统可以成为建筑中氢利用的有效替代方案。储能系统可以提高系统的可靠性和效率。适当的控制对于提高DES&； sofc的性能起着重要的作用。在本研究中，通过将热能和电能系统的集成解耦，提出了一种具有储能功能的无源SOFC的全局组件级运行优化方法。考虑与电网的低碳相互作用，得到一次组件（即状态、负载、温度、风扇转速、功率变化/放电等）的最佳运行。该方法在某办公楼的DES&；SOFC系统中得到了验证。结果表明，该方法可有效提高DES&；SOFC系统的能效，与传统方法相比，满足热需求的电能消耗可减少9.4%。DES&；SOFC系统的灵活性得到增强，可以始终以较低的排放响应电网。在这两个典型的日子里，二氧化碳的总排放量可以减少19.7%和29.9%。本研究将为推动SOFC和氢气在商业建筑和社区中的应用提供非常实用和有效的技术支持。

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引用次数: 0

Hybrid GA-PSO-optimized neural network for biogas production: Comparative evaluation of metaheuristic algorithms 混合ga - pso优化的沼气生产神经网络：元启发式算法的比较评价

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-12 DOI: 10.1016/j.renene.2026.125432

Arezoo Ghadiri , Maryam Pazoki , Saeed Erfani

Biogas derived from biomass is increasingly being recognized among researchers as a key component in clean and sustainable energy systems. To predict biogas production under various operating conditions, this study develops an artificial neural network (ANN) model that is separately optimized with four metaheuristic techniques—genetic algorithm (GA), particle swarm optimization (PSO), imperialist competitive algorithm (ICA), and a hybrid GA-PSO approach. In this model, three process factors, including NaOH concentration, temperature, and reaction time, are used to predict four outputs: methane production, methane concentration, methane efficiency, and volatile solids removal. For methane concentration, the hybrid GA-PSO method regularly produced the best results: R ≈ 0.93 and RMSE ≈0.22; for volatile solids removal, R ≈ 0.96 and RMSE ≈0.15; other outputs showed R ≈ 0.89–0.90 with RMSE ≈0.28. Sensitivity analysis revealed that temperature and NaOH concentration are the main drivers of methane yield. These results demonstrate the effectiveness of hybrid optimization in improving ANN-based biogas models and provide practical recommendations on how to improve anaerobic digestion performance.

研究人员越来越认识到，从生物质中提取的沼气是清洁和可持续能源系统的关键组成部分。为了预测不同操作条件下的沼气产量，本研究开发了一个人工神经网络（ANN）模型，该模型分别使用四种元启发式技术——遗传算法（GA）、粒子群优化（PSO）、帝国主义竞争算法（ICA）和GA-PSO混合方法进行优化。在该模型中，三个工艺因素，包括NaOH浓度、温度和反应时间，用于预测四种输出：甲烷产量、甲烷浓度、甲烷效率和挥发性固体去除率。对于甲烷浓度，混合GA-PSO法通常得到最佳结果：R≈0.93,RMSE≈0.22；去除挥发性固体，R≈0.96,RMSE≈0.15；其他输出R≈0.89 ~ 0.90,RMSE≈0.28。敏感性分析表明，温度和NaOH浓度是甲烷产率的主要驱动因素。这些结果证明了混合优化在改进基于人工神经网络的沼气模型方面的有效性，并为如何提高厌氧消化性能提供了实用建议。

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引用次数: 0

Cotemporal assessment of wind, wave, and current resources for ocean renewable energy device design and testing 海洋可再生能源装置设计与测试的风、浪、流资源共时评估

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-07 DOI: 10.1016/j.renene.2026.125410

Junhui Lou, Bryson Robertson

Ocean renewable energy, including offshore wind, wave, and ocean current energy, presents a viable approach to producing renewable power, reducing greenhouse gas emissions, and mitigating climate change. Whilst inherently interconnected, much of the published work focuses on individual metocean environmental assessments. These valuable analyses were insufficient for robust ocean energy system design. This study proposes a methodology to examine the cotemporal characteristics of wave, wind, and current in an open-ocean environment. Based on a 25-year buoy observation dataset collected at a representative open ocean location off the coast of Oregon, USA, the cotemporal distributions of wind-wave and current-wave conditions are investigated over sea state histogram. The results show that the wind-wave magnitude correlation and directional alignment increases as wave height increases or wave period decreases, indicating the strongest wind-wave correlation at wave breaking sea states. The current-wave misalignment demonstrates an inverse relationship with wave period in wind-wave dominated seas but little dependence on wave period in swell-dominantly seas. Representative operational and extreme environmental conditions are identified using k-means clustering method and statistical analysis, respectively. Finally, numerical case studies on a floating ocean platform highlight the need to account for cotemporal environmental conditions in mooring loads and structural hydrodynamics analysis.

海洋可再生能源，包括海上风能、波浪能源和洋流能源，是生产可再生能源、减少温室气体排放和减缓气候变化的可行途径。虽然内在相互关联，但许多已发表的工作侧重于个别的海洋环境评估。这些有价值的分析不足以用于稳健的海洋能源系统设计。本研究提出了一种在开放海洋环境中检验波、风和流共时特征的方法。基于美国俄勒冈州近海代表性海域25年浮标观测数据，利用海况直方图研究了该海域风浪和流浪的同时分布。结果表明：随着浪高的增加或波周期的减小，风浪的震级相关性和方向对准性均增大，在破波海态风浪相关性最强；在风浪为主的海中，流波失调与波浪周期呈反比关系，而在风浪为主的海中，流波失调与波浪周期的关系不大。分别使用k-means聚类方法和统计分析方法识别具有代表性的操作条件和极端环境条件。最后，对浮动海洋平台的数值案例研究强调了在系泊载荷和结构水动力分析中考虑同时环境条件的必要性。

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引用次数: 0

A meta-heuristic MPPT algorithm based photovoltaic storage DC microgrid system applied to 5G base station energy supply 基于元启发式MPPT算法的光伏储能直流微网系统在5G基站供电中的应用

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-03 DOI: 10.1016/j.renene.2026.125364

Qi Du , Shuqin Mo , Yanan Wang , Shusheng Wang , Tuanfa Qin , Binxin Zhu , Hanbo Zheng

The development of 5th-generation mobile networks, 5G communication, is currently underway. However, the high energy consumption and associated carbon emissions of 5G base stations have emerged as significant challenges. Based on the DC load characteristics of 5G base stations, this paper designs and constructs an innovative photovoltaic-storage DC power supply system. And an Adaptive t-distribution Educational Competition Optimization (ATD-ECO) maximum power point tracking (MPPT) algorithm is proposed. This proposed system not only reduces energy losses caused by the AC-DC conversion process compared to traditional AC power supply systems, but also has lower construction costs, enhancing both economic viability and robustness. Furthermore, the proposed ATD-ECO MPPT algorithm demonstrates excellent tracking performance in partially shaded environments, further improving the photovoltaic generation efficiency of the proposed power supply solution for 5G base stations. Through simulations and experiments conducted in MATLAB/Simulink, the photovoltaic generation efficiency of the proposed system can be enhanced by more than 67% under partially shaded conditions. To further validate the system's performance, we have established a DC experimental platform to conduct power supply experiments for the base station, and the results confirm the applicability and superiority of the proposed system.

第五代移动网络，即5G通信的发展正在进行中。然而，5G基站的高能耗和相关的碳排放已成为重大挑战。本文根据5G基站直流负载特性，设计并构建了一种创新的光伏-储能直流供电系统。提出了一种自适应t分布教育竞争优化（ATD-ECO）最大功率点跟踪（MPPT）算法。与传统的交流供电系统相比，该系统不仅减少了交直流转换过程中的能量损失，而且具有较低的建设成本，提高了经济可行性和鲁棒性。此外，本文提出的ATD-ECO MPPT算法在部分遮荫环境下具有优异的跟踪性能，进一步提高了本文提出的5G基站供电方案的光伏发电效率。通过在MATLAB/Simulink中进行仿真和实验，在部分遮荫条件下，该系统的光伏发电效率可提高67%以上。为了进一步验证系统的性能，我们建立了直流实验平台，对基站进行了供电实验，实验结果证实了所提系统的适用性和优越性。

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引用次数: 0

Techno-economic assessment of floating photovoltaic systems for Türkiye 海上浮式光伏发电系统技术经济评价

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-02-06 DOI: 10.1016/j.renene.2026.125371

Serkan Gökmener, Emre Haspolat, Elif Oğuz

This study investigates the techno-economic viability of Floating Photovoltaic (FPV) systems as a sustainable solution for Türkiye's energy requirements, in light of the increasing urge to tackle climate change and shift towards renewable energy sources. The analysis evaluates FPV deployment on 1% of the surface area of three hydroelectric power plant (HEPP) reservoirs—Sarıyar, Ermenek, and Kapulukaya—and compares them with Land-Based Photovoltaic (LPV) systems. This study includes not only energy generation and economic performance but also environmental benefits such as evaporation reduction and CO₂ mitigation. The estimated annual energy generation for FPV systems is 2.6 TWh, 2.0 TWh, and 0.73 TWh for Sarıyar, Ermenek, and Kapulukaya, respectively, while LPV alternatives produce 1.3 TWh, 1.4 TWh, and 0.23 TWh. The Levelized Cost of Energy (LCOE) for FPV systems is calculated as 60.98, 55.53, and 55.28 €/MWh, compared to 51.36, 45.43, and 47.04 €/MWh for LPV systems. Although FPV systems yield higher energy production, LPV systems currently offer better economic feasibility under Türkiye's current market conditions. Nevertheless, developments in FPV technology could make FPV systems economically competitive and more advantageous in the near future.

鉴于应对气候变化和向可再生能源转变的日益迫切的需求，本研究调查了浮动光伏（FPV）系统作为 rkiye能源需求的可持续解决方案的技术经济可行性。该分析评估了三个水电站（HEPP） reservoirs-Sarıyar、Ermenek和kapulukaya在1%表面面积上的FPV部署情况，并将它们与陆基光伏（LPV）系统进行了比较。这项研究不仅包括能源生产和经济效益，还包括环境效益，如减少蒸发和减少二氧化碳排放。据估计，Sarıyar、Ermenek和Kapulukaya的FPV系统的年发电量分别为2.6 TWh、2.0 TWh和0.73 TWh，而LPV替代方案的发电量分别为1.3 TWh、1.4 TWh和0.23 TWh。FPV系统的平准化能源成本（LCOE）分别为60.98、55.53和55.28欧元/兆瓦时，而LPV系统的平准化能源成本分别为51.36、45.43和47.04欧元/兆瓦时。虽然FPV系统产生更高的能源产量，但在t rkiye目前的市场条件下，LPV系统目前具有更好的经济可行性。然而，在不久的将来，FPV技术的发展可以使FPV系统在经济上具有竞争力和更大的优势。

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引用次数: 0

Improved integrated optical model and experimental validation for bifacial solar receiver 改进的双面太阳能接收机集成光学模型及实验验证

IF 9.1 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy

Pub Date : 2026-04-15 Epub Date: 2026-01-30 DOI: 10.1016/j.renene.2026.125353

Shi-Jie Xu , Shuang-Ying Wu , Lan Xiao , Zhi-Li Chen

Bifacial solar receiver is one of the main forms of solar energy utilization. However, the unique optical properties of bifacial solar receiver make performance prediction more difficult. This study proposed an improved integrated optical model, which combined an improved empirical solar model based on Linke turbidity factor with an irradiance model based on Monte Carlo ray tracing method. Also, under varying environmental conditions, an optical performance test platform for bifacial solar receiver was built to verify improved integrated optical model by comparing with the integrated results of different empirical solar models and irradiance models. The results show that, under sunny-dominated with few clouds, and partly cloudy conditions, improved empirical solar model achieves the smallest error with experiment in global horizontal irradiance compared with the existing empirical solar model available for cloudy condition (Model 1) and empirical solar model for sunny condition (Model 2), with a maximum relative error of less than 12.27 %. The irradiance prediction accuracy of view factor method under all empirical solar models tested is lower than that of Monte Carlo ray tracing method. Improved integrated optical model combining improved empirical solar model with Monte Carlo ray tracing method has the highest calculation accuracy, and the maximum relative error between simulated and experimental irradiance distribution on front and rear sides of bifacial solar receiver is less than 15.8 %. In summary, improved integrated optical model proposed in this study can realize the accurate evaluation of bifacial solar receiver optical performance under sunny and partly cloudy conditions, providing novel insights into the development of optical models for bifacial solar receiver.

双面太阳能接收器是太阳能利用的主要形式之一。然而，由于双面太阳能接收器独特的光学特性，使得其性能预测更加困难。本研究提出了一种改进的集成光学模型，该模型将基于林克浊度因子的改进经验太阳模型与基于蒙特卡罗光线追踪方法的辐照度模型相结合。搭建了不同环境条件下双面太阳能接收机光学性能测试平台，通过与不同经验太阳模型和辐照度模型的综合结果对比，验证改进的集成光学模型。结果表明：在阴天少云和部分多云条件下，改进的经验太阳模式与现有的多云条件经验太阳模式（模式1）和晴天条件经验太阳模式（模式2）相比，在全球水平辐照度的实验误差最小，最大相对误差小于12.27%；视点因子法在所有经验太阳模型下的辐照度预测精度低于蒙特卡罗射线追踪法。将改进的经验太阳模型与蒙特卡罗光线追踪法相结合的改进集成光学模型计算精度最高，双面太阳能接收器前后两侧辐照度分布的模拟值与实验值的最大相对误差小于15.8%。综上所述，本研究提出的改进的集成光学模型可以实现对晴天和部分阴天条件下双面太阳能接收器光学性能的准确评估，为双面太阳能接收器光学模型的开发提供了新的见解。

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引用次数: 0