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光伏发电技术
★ 5.0
受折纸艺术启发的新型光伏遮阳幕墙:能耗、采光、热舒适、视觉舒适与景观视野的多目标优化
Kirigami-inspired novel photovoltaic shading facade: multi-objective optimization of energy consumption, daylighting, thermal comfort, visual comfort, and landscape view
语言:
中文摘要
摘要 随着全球建筑能耗持续上升,光伏遮阳幕墙(PVSF)因其兼具太阳辐射调控与发电功能而受到广泛关注。然而,现有的大多数PVSF仍为简单的百叶结构,缺乏对复杂美学设计和光伏组件自遮挡问题的深入探索,且方案评估存在重复性。受折纸艺术(kirigami)启发,本文设计了一种新型轻质蜂窝状PVSF,旨在提升室内环境质量与节能效果的同时,提高光伏发电效率(PVPG)。研究综合考虑了舒适性与视野因素,并结合基于标准间相关性的权重确定方法(CRITIC)与层次分析法(AHP)进行权重赋值,以提升决策的准确性。结果表明,相较于基准方案,最优解使净年均能耗强度(net EUI)、等效日光 illuminance利用率(UDIe)、UDI 100-3000 和视野清晰度指数(TCP)分别改善了20.1%、70.8%、5.4%和23%;视野通透率达到19.75%,处于用户可接受范围内;光伏自遮挡率仅为4.7%,显著低于传统光伏百叶。与单目标优化相比,多目标优化(MOO)方案展现出更优的整体性能。敏感性分析显示,垂直网格数量影响最大,键合长度影响最小,但其对其他目标未产生负面影响。气候适应性分析表明,蜂窝状PVSF在优化能耗与室内环境方面表现有效,但在长春等寒冷地区存在一定局限性。研究成果验证了新型PVSF及其优化多目标优化流程的优势,为PVSF的设计与多目标优化提供了参考依据。
English Abstract
Abstract With rising global building energy consumption, photovoltaic shading facades (PVSFs) have gained attention for their dual function of solar radiation control and electricity generation. However, most of existing PVSFs are simple louver structures, lacking in-depth exploration of complex aesthetic design and PV self-shading issues, and have repeated evaluation of the schemes. Inspired by kirigami, this paper designed a novel lightweight honeycomb PVSF , aiming to improve the indoor environment and energy consumption while improving the efficiency of photovoltaic power generation (PVPG). The study also comprehensively considers comfort and view, and combines criteria importance through intercriteria correlation (CRITIC) and analytic hierarchy process (AHP) to assign weights, aiming to improve the accuracy of decision making. Results showed that the optimal solution improved net EUI, UDIe, UDI 100-3000 , and TCP by 20.1%, 70.8%, 5.4%, and 23%, respectively, compared to the baseline. The view reached 19.75%, within the user-acceptable range; the PV self-shading rate was only 4.7%, significantly lower than traditional PV blinds. Compared with single-objective optimization, the multi-objective optimization (MOO) scheme demonstrated superior overall performance. Sensitivity analysis showed that the number of vertical grids had the greatest impact, and bond length had the smallest impact, but it did not have a negative impact on other objectives. Climate adaptability analysis showed that honeycomb PVSF effectively optimized energy consumption and indoor environment, but had limitations in cold regions such as Changchun. The research results have demonstrated the advantages of the novel PVSF and optimized MOO process, and provide a reference for PVSF design and MOO.
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SunView 深度解读
该剪纸艺术启发的蜂窝光伏遮阳幕墙研究对阳光电源SG系列光伏逆变器产品具有重要应用价值。研究通过多目标优化将光伏自遮挡率降至4.7%,显著提升发电效率,这与我司MPPT优化技术形成协同。蜂窝结构的轻量化设计可降低建筑载荷,配合1500V高压系统提升组件串联数,减少线损。其能耗与舒适度平衡的优化方法可为iSolarCloud平台的智能运维算法提供参考,实现BIPV场景下发电与建筑环境的动态协调控制,拓展我司在光伏建筑一体化领域的解决方案深度。