Solar Energy最新文献_第8页

A comprehensive review of CAPEX-driven LCOE optimization strategies for utility-scale PV systems 对公用事业规模光伏系统资本支出驱动的LCOE优化策略的全面回顾

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-01-02 DOI: 10.1016/j.solener.2025.114296

Dhanup S. Pillai , Abdullah B. Bayindir , Abinisha Thiruchutan , Juan Lopez Garcia , Sertac Bayhan , Brahim Aissa , Claudio Del Pero , Veronica Bermudez Benito

Utility-scale photovoltaic (PV) systems play a pivotal role in the global energy transition, with capital expenditure (CAPEX) being a key determinant of project competitiveness. This paper presents a systematic assessment of CAPEX components supported by industry benchmarks from recent market studies along with projected CAPEX scenarios highlighting regional and global trends. Unlike prior studies that focused primarily on cost reporting, the core contribution of this work is a comprehensive review of levelized cost of electricity (LCOE) optimization strategies, which include module technology selection, optimized system configurations, innovative balance-of-system (BOS) designs, digitalization and AI-enabled tools for design and operation, as well as emerging approaches aimed at improving reliability and durability. Each approach in various strategies is systematically assessed for its individual impact on CAPEX, BOS, and LCOE, providing a clear understanding of cost-performance trade-offs. More importantly, the current maturity level of each strategy, existing industry standards, implementation challenges and future research needs are benchmarked. By bridging CAPEX analysis with optimization pathways for the industry, this review evaluates how capital components can be strategically selected and optimized during both design and operation to improve project economics. The findings offer a structured roadmap to reduce costs, enhance reliability, and accelerate the competitiveness of utility-scale PV systems in the coming decades.

公用事业规模的光伏（PV）系统在全球能源转型中发挥着关键作用，资本支出（CAPEX）是项目竞争力的关键决定因素。本文以最近市场研究的行业基准以及突出区域和全球趋势的预计资本支出情景为基础，对资本支出组成部分进行了系统评估。与之前主要关注成本报告的研究不同，这项工作的核心贡献是对平化电力成本（LCOE）优化策略的全面回顾，其中包括模块技术选择、优化的系统配置、创新的系统平衡（BOS）设计、数字化和人工智能支持的设计和操作工具，以及旨在提高可靠性和耐用性的新兴方法。系统地评估了各种策略中的每种方法对资本支出、BOS和LCOE的影响，从而清晰地了解成本-绩效权衡。更重要的是，对每个战略的当前成熟度、现有的行业标准、实施挑战和未来的研究需求进行了基准测试。通过将资本支出分析与行业优化路径相结合，本文评估了在设计和运营过程中如何战略性地选择和优化资本组成部分，以提高项目的经济性。研究结果提供了一个结构化的路线图，以降低成本，提高可靠性，并加快未来几十年公用事业规模光伏系统的竞争力。

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引用次数: 0

Radiative cooling for Climate-Ready Buildings: A new scalable parametric simulation framework enhancing energy and comfort performance 气候准备建筑的辐射冷却：一种新的可扩展参数化模拟框架，增强能源和舒适性能

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-01-02 DOI: 10.1016/j.solener.2025.114284

Parham Esmaeili , Claudia Fabiani , Anna Laura Pisello

With buildings responsible for over 30% of global energy consumption, optimizing passive cooling strategies is critical for climate change mitigation. To this aim, this study introduces a new workflow integrating spectral-dependent radiative cooling material properties into Building Performance Simulation (BPS) tools, addressing gaps in modeling atmospheric transmittance and emissivity dynamics. Leveraging EnergyPlus within a Visual Programming Language (VPL) framework, the workflow automates multi-criteria assessments across diverse building prototypes and climates. Results demonstrate radiative cooling materials reduce surface temperatures by up to 10°C below ambient air temperature, reducing the indoor operative temperatures by 5–7 °C in hot climates, yielding ∼ 60 % cooling energy savings in extreme regions like Miami and Tampa. However, colder climates reveal trade-offs, with heating demand increases of 40–100 % offsetting cooling benefits. The analysis highlights material emissivity optimization as a key driver, particularly in balancing longwave radiation efficiency with solar reflectance. Challenges persist in scaling deployment, including spectral aging effects and retrofitting compatibility with existing HVAC systems to be investigated by means of urban-scale simulations. This research advances radiative cooling as a viable passive strategy for decarbonizing building stocks, providing a systematic framework to guide material innovation and climate-responsive implementation policies.

建筑能耗占全球能源消耗的30%以上，因此优化被动式冷却策略对于减缓气候变化至关重要。为此，本研究引入了一种新的工作流程，将光谱相关的辐射冷却材料特性集成到建筑性能模拟（BPS）工具中，解决了大气透射率和发射率动力学建模方面的空白。利用可视化编程语言（VPL）框架内的EnergyPlus，工作流可以在不同的建筑原型和气候条件下自动进行多标准评估。结果表明，辐射冷却材料可使表面温度比环境温度低10°C，在炎热气候下可使室内操作温度降低5-7°C，在迈阿密和坦帕等极端地区可节省60%的冷却能源。然而，较冷的气候揭示了权衡，加热需求增加40 - 100%抵消了冷却效益。分析强调材料发射率优化是关键驱动因素，特别是在平衡长波辐射效率和太阳反射率方面。大规模部署的挑战依然存在，包括频谱老化效应和改造与现有HVAC系统的兼容性，这些都需要通过城市规模的模拟来研究。本研究将辐射冷却作为一种可行的被动建筑脱碳策略，为指导材料创新和气候响应型实施政策提供了系统框架。

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引用次数: 0

Thermal and chromatic analysis for scalable photovoltaic hotspot detection 可扩展光伏热点检测的热与色分析

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-01-02 DOI: 10.1016/j.solener.2025.114227

Waqas Ahmed

This study introduces a lightweight, interpretable framework for real-time PV fault detection using infrared (IR) thermography and perceptually uniform Lab* color space analysis. Unlike conventional methods reliant on high-dimensional texture or deep learning features, the proposed approach extracts just 80 statistical descriptors per image focused on luminance and chromaticity via patch-wise segmentation of IR thermographs. A suite of shallow classifiers (SVM, KNN, Decision Tree, Naive Bayes, and Ensemble) was trained on Lab*-derived features, achieving up to 95.2 % testing accuracy with sub-6-second training latency. SVM and KNN demonstrated superior diagnostic precision across healthy, hotspot, and faulty PV panels, validating the framework’s robustness and edge-computing compatibility. Beyond technical performance, the study quantifies the energy and climate impact of undetected hotspots in a 42.24 kW rooftop PV system. Results show a 17,620 kWh annual energy loss and a 27.6 % reduction in CO₂ mitigation potential equivalent to 20 fewer barrels of crude oil displaced. These findings underscore the urgency of scalable fault detection for sustainable solar deployment.

本研究引入了一个轻量级的、可解释的框架，用于实时光伏故障检测，使用红外（IR）热成像和感知均匀的Lab*色彩空间分析。与依赖高维纹理或深度学习特征的传统方法不同，该方法通过对红外热像图进行逐块分割，仅提取80个统计描述符，重点关注亮度和色度。一组浅层分类器（支持向量机、KNN、决策树、朴素贝叶斯和集成）在Lab*衍生的特征上进行训练，在不到6秒的训练延迟下达到95.2%的测试准确率。支持向量机和KNN在健康、热点和故障光伏面板上表现出卓越的诊断精度，验证了框架的鲁棒性和边缘计算兼容性。除了技术性能之外，该研究还量化了42.24 kW屋顶光伏系统中未检测到的热点对能源和气候的影响。结果表明，每年的能源损失为17,620千瓦时，二氧化碳减排潜力减少27.6%，相当于减少了20桶原油的替代。这些发现强调了可扩展故障检测对可持续太阳能部署的紧迫性。

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引用次数: 0

Hexagonal microtextured glass to achieve high optical performance in thin-film silicon solar cells 六方微纹理玻璃在薄膜硅太阳能电池中实现高光学性能

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-31 DOI: 10.1016/j.solener.2025.114292

Govind Padmakumar, Aravind Balaji, Federica Saitta, Paula Perez-Rodriguez, René A.C.M.M. van Swaaij, Arno H.M. Smets

Periodic hexagonal microtexture arrays (also known as honeycombs) are successfully implemented for the first time in a superstrate glass configuration. Hexagonal textures on glass demonstrate an anti-reflective effect when compared to flat glass. It is shown that light scattering increases at the honeycomb interfaces with an increase in texture height and periodicity. The performance of the textures is demonstrated using thin-film single-junction PV devices based on an indirect bandgap semiconductor material, nanocrystalline silicon (nc-Si:H), which requires light trapping in the infrared region of the spectrum. Inspecting the nc-Si:H bulk absorber suggests a conformal, crack-free growth of crystals on the hexagonal arrays. Short-circuit current density (

J_{S C}

) increases with an increase in the aspect ratio of the superstrate, without compromising voltage and fill factor. The

J_{S C}

enhancement is attributed to a combined benefit of (i) the anti-reflective nature of developed textures, (ii) trapping light within the absorbing layer through multiple order diffraction at the front and (iii) reflection from a back reflector with adapted hexagonal morphology. With the above observations, a

J_{S C}

of 28.6 mA/cm² (photovoltaic conversion efficiency of 9.3 %) is achieved for a 5

μ

m periodic texture with a height of 1

μ

m (aspect ratio = 0.21). This is the highest reported

J_{S C}

for a single-junction nc-Si:H solar cell in a superstrate configuration without an external anti-reflection coating.

周期性六边形微纹理阵列（也称为蜂窝）首次在超层玻璃结构中成功实现。与平面玻璃相比，玻璃上的六角形纹理具有抗反射效果。结果表明，蜂窝界面的光散射随织构高度和周期性的增加而增加。使用基于间接带隙半导体材料纳米晶硅（nc-Si:H）的薄膜单结光伏器件证明了纹理的性能，该材料需要在光谱的红外区域捕获光。检查nc-Si:H体吸收体表明，在六边形阵列上晶体的保形，无裂纹生长。短路电流密度（JSC）随着上覆层宽高比的增加而增加，而不影响电压和填充因子。JSC的增强归因于以下因素的综合效益：(i)发达纹理的抗反射特性，（ii）通过前面的多级衍射在吸收层内捕获光，以及（iii）具有适应六边形形态的后反射器的反射。通过上述观察，对于高度为1μm（宽高比为0.21）的5μm周期纹理，获得了28.6 mA/cm2的JSC（光伏转换效率为9.3%）。这是目前报道的无外抗反射涂层的单结nc-Si:H太阳能电池的最高JSC。

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引用次数: 0

Bandgap tuning through controlled Bi/Sb substitution in Cs2AgBi1-xSbxBr6 enhances overall solar cell performance 通过控制Bi/Sb取代Cs2AgBi1-xSbxBr6的带隙调谐提高了太阳能电池的整体性能

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-31 DOI: 10.1016/j.solener.2025.114298

N. Fangachi , I. Chabri , O. Fangachi , M. Yessari , A. Hajjaji

The search for non-toxic, high-efficiency alternatives to lead-based perovskites is one of the most active frontiers in solar energy research. In this study, we introduce a novel double perovskite design strategy based on the partial substitution of Bi³⁺ with Sb³⁺ in Cs₂AgBi_1-xSb_xBr₆, aiming to simultaneously enhance light harvesting, charge transport, and device stability. Using a validated SCAPS-1D model coupled with experimental benchmarking, we reveal how controlled Bi/Sb alloying enables precise bandgap tuning and optimized energy-level alignment without structural distortion. The Cs₂AgBi_0.1Sb_0.9Br₆ composition emerges as the most promising, exhibiting a narrowed bandgap (2.08 eV) and superior optoelectronic balance, leading to a 6.23 % PCE. A subsequent multi-parameter optimization, including defect density reduction (N_t = 10¹⁴ cm⁻³), absorber thickness adjustment (1.8 µm), and optimal p-type doping (N_A = 10¹⁵ cm⁻³), raised the efficiency to 11.76 %. Replacing the conventional P3HT with MoO₃ as a hole-transport layer further refined interfacial energetics, achieving a record 14.05 % simulated efficiency for lead-free ITO/SnO₂/Cs₂AgBi_0.1Sb_0.9Br₆/MoO₃/Au cells. This work delivers a comprehensive and original framework combining compositional engineering and interfacial design, offering new insights into the rational design of lead-free double perovskite photovoltaics with high stability and scalability for sustainable solar energy applications.

寻找无毒、高效的铅基钙钛矿替代品是太阳能研究中最活跃的前沿之一。在这项研究中，我们引入了一种新的双钙钛矿设计策略，该策略基于Sb3+部分取代Cs2AgBi1-xSbxBr6中的Bi3+，旨在同时增强光捕获，电荷传输和器件稳定性。利用经过验证的SCAPS-1D模型和实验基准测试，我们揭示了受控Bi/Sb合金如何实现精确的带隙调谐和优化的能级对准，而不会产生结构畸变。Cs2AgBi0.1Sb0.9Br6是最有前途的组合物，具有窄带隙（2.08 eV）和优异的光电平衡，PCE为6.23% .随后的多参数优化，包括缺陷密度降低（Nt = 1014 cm−3），吸收器厚度调整（1.8µm）和最佳p型掺杂（NA = 1015 cm−3），将效率提高到11.76%。用MoO3取代传统的P3HT作为空穴传输层，进一步改善了界面能量，在无铅ITO/SnO2/Cs2AgBi0.1Sb0.9Br6/MoO3/Au电池中实现了创纪录的14.05%的模拟效率。本工作提供了一个综合的、原创的框架，结合了成分工程和界面设计，为合理设计具有高稳定性和可扩展性的无铅双钙钛矿光伏电池提供了新的见解，可用于可持续太阳能应用。

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引用次数: 0

Hybrid solar collectors based on Bragg-mirror spectral splitting for simultaneous heat and electricity generation 基于Bragg-mirror光谱分裂的混合太阳能集热器，用于同时加热和发电

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-31 DOI: 10.1016/j.solener.2025.114288

Botho Lehmann, Gan Huang

Spectral-splitting photovoltaic-thermal (PVT) solar collectors offer a pathway for simultaneous electricity and high-temperature heat generation from solar energy. In this study, we experimentally investigate a PVT solar collector incorporating a dielectric Bragg mirror as a spectral-splitting optical reflector. The solar collector spectrally separates the solar spectrum by reflecting part of the spectrum (< 870 nm) to a concentrated gallium arsenide (GaAs) photovoltaic cell and transmitting the rest of the spectrum (> 870 nm) to a solar thermal absorber. The resulting spectrum splitting achieves a reflectance of 91.4 % above the GaAs bandgap and a transmittance of 79.7 % below it. Under concentrated illumination (geometric factor of 100) and based on the total incident solar energy (full-spectrum performance), the GaAs cell has an electrical efficiency of 6.5 % operating at 36.6 °C, while the solar thermal absorber achieves a thermal capture efficiency of 8.8 % at 80 °C. The stagnation temperature of the solar thermal absorber, measured experimentally without heat extraction, reaches 209.1 °C. Both electrical and thermal efficiencies remain limited, primarily due to optical losses arising from misalignment and interference-related reflection losses. The Bragg mirror exhibits negligible absorption and self-heating, confirming its suitability for spectral splitting under concentrated illumination. While such optical losses remain challenges for both the indoor prototype and potential outdoor implementations, this work highlights a strategy for enhancing hybrid solar energy utilisation.

分光光热（PVT）太阳能集热器为太阳能同时发电和产生高温热提供了一条途径。在本研究中，我们实验研究了一种采用介电布拉格反射镜作为分光光学反射器的PVT太阳能集热器。太阳能集热器通过将部分光谱（> 870 nm）反射到集中的砷化镓（GaAs）光伏电池，并将其余光谱（> 870 nm）传输到太阳能吸热器，从而在光谱上分离太阳光谱。由此产生的光谱分裂在GaAs带隙以上的反射率为91.4%，在带隙以下的透射率为79.7%。在集中照明（几何系数为100）和基于总入射太阳能（全光谱性能）的情况下，GaAs电池在36.6°C下的电效率为6.5%，而太阳能吸热器在80°C下的热捕获效率为8.8%。在不抽热的情况下，太阳能吸热器的滞止温度达到了209.1℃。电效率和热效率仍然有限，主要是由于光学损失引起的不对准和干涉相关的反射损失。布拉格反射镜表现出可忽略不计的吸收和自热，证实了它在集中照明下光谱分裂的适用性。虽然这种光学损耗仍然是室内原型和潜在的室外实现的挑战，但这项工作强调了提高混合太阳能利用的策略。

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引用次数: 0

Energy and exergy analyses of the solar vortex engine 太阳涡旋发动机的能量和火用分析

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-30 DOI: 10.1016/j.solener.2025.114294

Ali M. Tukkee , Hussain H. Al-Kayiem , Syed I.U. Gilani

The solar vortex engine (SVE) is a recently proposed solar power generation technology. It represents an alternative to the solar chimney power plant, in which the SVE is unlimited by the challenges imposed by the high physical chimney structure. However, a comprehensive thermodynamic analysis of the SVE’s components was not conducted. In this study, energy and exergy analyses are performed on the SVE to evaluate the system’s performance and identify the components with the highest exergy losses. Mathematical models were developed for each part of the SVE, which enabled the evaluation of the different energy and exergy components, efficiencies, and the exergy destruction at each part of the plant. The results of the study showed that the input exergy of solar radiation is 93 % of the energy input. Nevertheless, 92.3 % of the exergy is lost at the absorptive surface of the solar collector, which makes it the dominant contributor to exergy losses. Similar to the solar chimney power plant, the SVE exhibits an extremely low energy conversion efficiency, calculated as 0.00009 % at 12:00 PM. However, the second law efficiency showed that a much higher value of 0.006 % is achievable under reversible conditions. High values of exergetic improvement potential were identified across all the components of the SVE, which indicates that the system’s performance can be improved significantly if exergy losses are minimized.

太阳能涡旋发动机（SVE）是近年来兴起的一种太阳能发电技术。它代表了太阳能烟囱电厂的一种替代方案，在太阳能烟囱电厂中，SVE受到高物理烟囱结构所带来的挑战的限制。然而，没有对SVE的组成进行全面的热力学分析。在本研究中，对SVE进行了能量和火用分析，以评估系统的性能，并确定火用损失最高的组件。为SVE的每个部分开发了数学模型，从而能够评估工厂每个部分的不同能量和火用成分、效率和火用破坏。研究结果表明，太阳辐射的输入能量占输入能量的93%。然而，92.3%的火用损失在太阳能集热器的吸收表面，这使其成为火用损失的主要贡献者。与太阳能烟囱发电厂类似，SVE的能量转换效率极低，在中午12点计算为0.00009%。然而，第二定律效率表明，在可逆条件下可以达到更高的0.006%。在SVE的所有组件中都发现了较高的火用改进潜力值，这表明如果将火用损失降至最低，系统的性能可以得到显著提高。

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引用次数: 0

Mechanical Characteristic of Glass-Glass Photovoltaic Module and Its Wind-Induced Damage Mechanism 玻璃-玻璃光伏组件的力学特性及其风致损伤机理

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-30 DOI: 10.1016/j.solener.2025.114291

Haiwei Xu , Guanhao Hong , Linyuan Shao , Fuyou Xu , Wenjuan Lou

As a clean and renewable energy, photovoltaic (PV) power generation has experienced a rapid growth in recent years. However, insufficient understanding of the mechanical properties of PV modules has introduced significant uncertainties into the structural design of PV power plants, posing potential risks for wind-induced failures. To address this issue, this study investigated the mechanical behavior and failure modes of widely used glass-glass PV modules under different loading conditions through mechanical testing and numerical simulations. The mechanical characteristics and failure modes of the module under concentrated loading, uniformly distributed loading, and torsional loading were presented, and an equivalent finite element model for the modules was proposed and validated based on the test results. Furthermore, the critical wind speeds for different failure modes of studied PV modules were evaluated and the potential cause for a recent typhoon damage of PV plants in China was revealed. The results show that under concentrated loading, the glass-glass PV modules primarily experience glass failure, whereas under uniform and torsional loading conditions, connection failure at the clamp occurs before the failure of the module itself. Microcracks in the silicon solar cells will not appear before glass or connection failure. Given the high risk of connection failure under strong wind events, the integrity of the connection between photovoltaic modules and supporting structures needs to be enhanced.

光伏发电作为一种清洁可再生能源，近年来发展迅速。然而，由于对光伏组件的力学特性了解不足，给光伏电站的结构设计带来了很大的不确定性，带来了风致故障的潜在风险。为了解决这一问题，本研究通过力学试验和数值模拟研究了不同载荷条件下广泛使用的玻璃-玻璃光伏组件的力学行为和破坏模式。分析了该模块在集中加载、均布加载和扭转加载下的力学特性和破坏模式，建立了该模块的等效有限元模型，并根据试验结果进行了验证。此外，还评估了所研究的光伏组件不同失效模式的临界风速，并揭示了最近中国光伏电站遭受台风破坏的潜在原因。结果表明：在集中加载条件下，玻璃-玻璃光伏组件主要发生玻璃破坏，而在均匀加载和扭转加载条件下，卡箍处的连接破坏先于组件本身的破坏。硅太阳能电池在玻璃或连接失效之前不会出现微裂纹。考虑到强风事件下连接失效的高风险，需要加强光伏组件与支撑结构连接的完整性。

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引用次数: 0

Agent-based modeling of residential solar adoption in subsidized energy markets 补贴能源市场中住宅太阳能采用的基于主体的模型

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-30 DOI: 10.1016/j.solener.2025.114290

Wael M. Attiya , Mohamed Bin Shams , Abdulla Alabbasi , Hanan Albuflasa

Residential rooftop photovoltaics (PV) are a cost-effective route to decarbonizing household electricity, yet uptake in subsidy-distorted markets remains sluggish. Focusing on Bahrain—a Gulf Cooperation Council member with world–class solar resource but highly subsidized tariffs—we build a data–driven agent–based model of 158 representative households and simulate diffusion over 2025–2050 under four policy settings: (i) status–quo baseline, (ii) a value–added–tax (VAT) reduction on PV hardware, (iii) a concessional loan whose monthly repayment is capped at the prevailing electricity bill, and (iv) a combined package. The model is calibrated to Rogers’ 2.5 % innovator share in 2027 and anchored to national income statistics.

Financial levers dominate other behavioral drivers. Relative to the baseline trajectory (22 % adoption by 2050), VAT relief lifts uptake to 38.9 % and the loan scheme to 39.0 %; the combined package yields 52.8 % adoption, a mean pay–back of 4.0 years, and an internal rate of return around 58 %. The integrated policy also delivers the most significant public–finance benefit, saving 342 million SCF of natural gas and avoiding 21,169 tons of CO₂ by 2050, while the incremental VAT outlay is recovered through lower electricity–subsidy expenditure. Social–capital effects accelerate diffusion, but only once strong monetary incentives exist.

The study demonstrates how agent-based techniques can quantify welfare trade-offs in heavily subsidized electricity systems and highlights the complementarity of upfront tax relief and income–stream smoothing. Its findings are immediately relevant to Gulf Cooperation Council (GCC) energy planners and to other jurisdictions seeking to reconcile entrenched subsidies with renewable–energy targets.

住宅屋顶光伏（PV）是一种具有成本效益的家庭电力脱碳途径，但在补贴扭曲的市场中，吸收仍然缓慢。巴林是海湾合作委员会的成员，拥有世界一流的太阳能资源，但却享受着高额的电价补贴。我们以巴林为例，建立了一个基于数据驱动的基于主体的模型，涵盖了158个有代表性的家庭，并在2025-2050年期间模拟了四种政策设置下的扩散：(i)现状基线，（ii）光伏硬件的增值税（VAT）减免，（iii）每月还款上限为现行电费的优惠贷款，以及（iv）综合方案。该模型是根据罗杰斯提出的2027年2.5%的创新份额进行校准的，并与国民收入统计数据挂钩。财务杠杆主导着其他行为驱动因素。相对于基线轨迹（到2050年采用22%），增值税减免将其提高到38.9%，贷款计划提高到39.0%；综合方案的采用率为52.8%，平均投资回收期为4.0年，内部回报率约为58%。综合政策还带来了最显著的公共财政效益，到2050年节省了3.42亿立方英尺的天然气，避免了21169吨的二氧化碳排放，而增加的增值税支出通过降低电力补贴支出得到了补偿。社会资本效应加速扩散，但前提是存在强有力的货币激励。该研究展示了基于主体的技术如何量化大量补贴电力系统的福利权衡，并强调了前期税收减免和收入流平滑的互补性。它的研究结果对海湾合作委员会（GCC）的能源规划者和其他寻求将根深蒂固的补贴与可再生能源目标相协调的司法管辖区具有直接意义。

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引用次数: 0

Optimizing building integrated photovoltaic facades: A parametric approach for enhanced energy efficiency and daylighting performance 优化建筑集成光伏立面：提高能源效率和采光性能的参数化方法

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2025-12-29 DOI: 10.1016/j.solener.2025.114279

Öykü Öngören , Hatice Sözer

This study proposes a parametric optimization framework specifically designed to enhance the performance of Building Integrated Photovoltaic (BIPV) façades. The aim is to identify optimal façade configurations that maximize both photovoltaic energy generation and indoor daylighting quality through multi-objective evolutionary algorithms. Using Grasshopper as the parametric modeling platform, the methodology integrates Ladybug and Honeybee for environmental simulations and Octopus for genetic algorithm-based optimization. The framework evaluates a range of window-to-wall ratio (WWR) scenarios to balance conflicting objectives: increasing solar on opaque façade areas for improved PV efficiency, and maximizing the indoor area exposed to daylight within comfort thresholds (300–500 lx).

An algorithm was developed to generate diverse design scenarios, and Pareto front solutions were identified based on these dual criteria. Energy load simulations were conducted using OpenStudio to assess overall building performance. Compared to the baseline building profile, the optimized configuration resulted in a 26 % increase in solar irradiation and a 70 % improvement in daylighting coverage. When evaluated individually, the best irradiation-focused solution showed a 28 % gain, while the top daylighting-optimized scenario yielded a 9 % improvement.

These findings demonstrate the value of integrating evolutionary optimization with parametric design tools to support early-stage, performance-driven BIPV façade design. The proposed methodology offers a replicable, scalable approach for architects and engineers aiming to develop energy-efficient, daylight-responsive building envelopes.

本研究提出了一个参数优化框架，专门用于提高建筑集成光伏（BIPV）幕墙的性能。目的是通过多目标进化算法确定最佳的立面配置，最大限度地提高光伏发电和室内采光质量。该方法以蚱蜢为参数化建模平台，结合瓢虫和蜜蜂进行环境模拟，结合章鱼进行遗传算法优化。该框架评估了一系列窗墙比（WWR）场景，以平衡相互冲突的目标：增加不透明立面区域的太阳能以提高光伏效率，并在舒适阈值（300-500 lx）内最大化暴露在日光下的室内面积。开发了一种算法来生成不同的设计场景，并基于这些双重标准确定了帕累托前解。能源负荷模拟使用OpenStudio进行，以评估整体建筑性能。与基线建筑轮廓相比，优化后的配置使太阳辐照度增加了26%，采光覆盖率提高了70%。当单独评估时，最佳的聚焦于辐射的解决方案显示了28%的增益，而最佳的采光优化方案产生了9%的增益。这些发现证明了将进化优化与参数化设计工具相结合，以支持早期、性能驱动的BIPV外观设计的价值。所提出的方法为建筑师和工程师提供了一种可复制的、可扩展的方法，旨在开发节能、日光响应的建筑围护结构。

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引用次数: 0