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学者姓名：薛鹏
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摘要 ：
The rapid advancement of spectrally selective materials has enabled the development of smart windows that can regulate different bands of solar radiation. However, existing methods for calculating spectral properties vary, leading to inconsistent results when evaluating their light-electricity-heat-color performance. Therefore, this paper presents five methods for calculating window spectral properties, intending to compare and identify the most effective approach for assessing building thermal performance, energy efficiency, and daylighting. The methods focus primarily on the solar spectrum input and the glazing spectrum response. The solar spectrum inputs include the Beijing local solar spectrum, ASTM G173-03, and ISO 9845 (methods S1 to S3), and the glazing spectrum response methods differ based on whether they account for spectral selectivity and the choice of spectral weighting functions (methods S3 to S5). The findings reveal that variations in solar spectrum input have a minimal effect on window performance, while differences in glazing spectral response calculations significantly impact results. It is particularly evident in thermochromic windows, where discrepancies in energy efficiency, specifically in lighting load, can reach up to 67.21 %, and variations in dynamic daylighting performance, specifically in Useful Daylight Illuminance (UDI) below 500 lx, can be as high as 28.27 %. To provide more accurate assessment results of glazing windows, this study recommends using the spectral calculation method S1, which incorporates the local solar spectrum and applies the standard luminous efficiency function to the glazing spectrum response. This paper highlights that further refinement of spectral calculation methods will enhance their utility for performance evaluation and guide the reverse design of innovative window features.
关键词 ：
Glazing window Glazing window Performance evaluation Performance evaluation Glazing spectrum response Glazing spectrum response Optical property Optical property Solar spectrum Solar spectrum
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| GB/T 7714 | Ma, Yuxin , Li, Dong , Wu, Yupeng et al. Crucial impact of spectrum calculation on energy and daylighting performance of glazing windows [J]. | ENERGY CONVERSION AND MANAGEMENT , 2025 , 324 . |
| MLA | Ma, Yuxin et al. "Crucial impact of spectrum calculation on energy and daylighting performance of glazing windows" . | ENERGY CONVERSION AND MANAGEMENT 324 (2025) . |
| APA | Ma, Yuxin , Li, Dong , Wu, Yupeng , Peng, Jinqing , Xue, Peng , Bai, Gongxun . Crucial impact of spectrum calculation on energy and daylighting performance of glazing windows . | ENERGY CONVERSION AND MANAGEMENT , 2025 , 324 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Except for irradiance and temperature, the distribution of solar spectrum also affects the electrical performance of photovoltaic (PV) modules. To explore the effect, this study conducted long-term experimental measurements on the wide range of full solar radiation spectrum with monocrystalline silicon (m-Si) and cadmium telluride (CdTe), and established new spectral correction function (SCF) under horizontal conditions based on the average photon energy (APE). It is verified with a good agreement R2 of 0.95, and the maximum RMSE is only 0.017 %. Moreover, the application of the SCFs to building vertical fa & ccedil;ade has also been well verified, and the accuracy of electrical performance prediction can be improved by 14.51 % (m-Si) and 3.57 % (CdTe). In addition, this study combines the annual horizontal total solar radiation spectrum in Beijing and gives the annual spectral gain and loss (SGL) ratio of two PV panels. The power generation performance of the two PV modules under the actual spectrum will be underestimated for about 53.5 % and 99.7 % of the time in the whole year. This study broadens the dimension of evaluating the electrical performance parameters of PV panels and provides a basis and guidance for the accurate prediction and calculation of photovoltaic power generation.
关键词 ：
Photovoltaic Photovoltaic Spectrum Spectrum Average photon energy Average photon energy Spectral correction Spectral correction
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| GB/T 7714 | Sang, Wenhu , Ma, Yuxin , Li, Senyuan et al. Spectral correction of photovoltaic module electrical properties [J]. | RENEWABLE ENERGY , 2024 , 237 . |
| MLA | Sang, Wenhu et al. "Spectral correction of photovoltaic module electrical properties" . | RENEWABLE ENERGY 237 (2024) . |
| APA | Sang, Wenhu , Ma, Yuxin , Li, Senyuan , Xue, Peng , Li, Bojia , Peng, Jinqing et al. Spectral correction of photovoltaic module electrical properties . | RENEWABLE ENERGY , 2024 , 237 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The secondary solar heat gain, defined as the heat flows from glazing to indoor environment through longwave radiation and convection, grows with the increasing of glazing absorption. With the rapid development and application of spectrally selective glazing, the secondary solar heat gain becomes the main way of glazing heat transfer and biggest proportion, and indicates it should not be simplified calculated conventionally. Therefore, a dynamic secondary solar heat gain model is developed with electrochromic glazing system in this study, taking into account with three key aspects, namely, optical model, heat transfer model, and outdoor radiation spectrum. Compared with the traditional K-Sc model, this new model is verified by on-site experimental measurements with dynamic outdoor spectrum and temperature. The verification results show that the root mean square errors of the interior and exterior glass surface temperature are 3.25 degrees C and 3.33 degrees C, respectively, and the relative error is less than 10.37%. The root mean square error of the secondary heat gain is 13.15 W/m(2), and the dynamic maximum relative error is only 13.2%. The simulated and measured results have a good agreement. In addition, the new model is further extended to reveal the variation characteristics of secondary solar heat gain under different application conditions (including orientations, locations, EC film thicknesses and weather conditions). In summary, based on the outdoor spectrum and window spectral characteristics, the new model can accurately calculate the increasing secondary solar heat gain in real time, caused by spectrally selective windows, and will provide a computational basis for the evaluation and development of spectrally selective glazing materials.
关键词 ：
secondary solar heat gain secondary solar heat gain spectral-selective glazing spectral-selective glazing solar spectrum solar spectrum dynamic heat transfer dynamic heat transfer
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| GB/T 7714 | Xue, Peng , Shen, Yi , Ye, Sheng et al. Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum [J]. | BUILDING SIMULATION , 2023 , 16 (12) : 2211-2224 . |
| MLA | Xue, Peng et al. "Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum" . | BUILDING SIMULATION 16 . 12 (2023) : 2211-2224 . |
| APA | Xue, Peng , Shen, Yi , Ye, Sheng , Peng, Jinqing , Zhang, Yanyun , Zhang, Qianqian et al. Secondary solar heat gain modelling of spectral-selective glazing based on dynamic solar radiation spectrum . | BUILDING SIMULATION , 2023 , 16 (12) , 2211-2224 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明涉及道路交通技术领域，具体涉及一种新型人工隧道系统，其包括隧道主体和光伏发电系统；所述隧道主体用于跨设在道路上；所述光伏发电系统包括设置在隧道主体上的太阳能电池板组；在隧道主体上设有至少一个空气处理装置，空气处理装置与隧道主体内部连通以净化处理隧道主体内空气；所述新型人工隧道系统，能避免极端天气对于行驶车辆的影响，其光伏发电系统为新型人工隧道系统的用电设施供电，符合节能减排以及碳中和的发展趋势，其空气处理装置可减少对于大气的污染。
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| GB/T 7714 | 薛鹏 , 李森渊 , 谢静超 et al. 新型人工隧道 : CN202210182515.2[P]. | 2022-02-25 . |
| MLA | 薛鹏 et al. "新型人工隧道" : CN202210182515.2. | 2022-02-25 . |
| APA | 薛鹏 , 李森渊 , 谢静超 , 刘加平 . 新型人工隧道 : CN202210182515.2. | 2022-02-25 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明涉及道路交通技术领域，具体涉及一种曲面光伏顶棚，用于跨设在道路上；其隧道主体的隧道内层和隧道外层之间设有气道，隧道内层内侧设置隧道腔，隧道外层包括连通气道和外部环境的外层排气结构，隧道内层包括连通隧道腔和外部环境的内层排气结构；其隧道主体的进气结构包括连通外部环境和气道的外层进气结构和连通外部环境和隧道腔的内层进气结构；其光伏发电系统的太阳能电池板铺设在隧道外层的外表面上；所述曲面光伏顶棚，能避免极端天气对于道路上行驶车辆的影响，新鲜空气经由外层进气结构进入气道能对太阳能电池板组降温，气道使其具有更好的隔音和隔光效果，内层排气结构和进气结构配合使其具有更好的排污效果。
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| GB/T 7714 | 薛鹏 , 赵珊珊 , 谢静超 et al. 曲面光伏顶棚 : CN202210197067.3[P]. | 2022-03-01 . |
| MLA | 薛鹏 et al. "曲面光伏顶棚" : CN202210197067.3. | 2022-03-01 . |
| APA | 薛鹏 , 赵珊珊 , 谢静超 , 张雷 , 李俊麒 , 刘加平 . 曲面光伏顶棚 : CN202210197067.3. | 2022-03-01 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本实用新型涉及道路交通技术领域，具体涉及一种具有排污和冷却功能的人工隧道，跨设在道路上；其隧道主体包括由外而内间隔套设在一起的隧道外层和隧道内层，隧道内层围成供车辆通行的隧道腔，隧道外层的外层排气口和隧道内层的内层排气口错位设置且分别与隧道外层和隧道内层之间的气道连通；其排气装置与外层排气口或内层排气口配合，使隧道腔内气体依次经过内层排气口、气道和外层排气口并最终排入外部环境中；其太阳能发电装置包括多块铺设在隧道外层的外表面的太阳能电池板；所述人工隧道能避免极端天气对于道路上行驶车辆的影响，其双层结构具有更好的隔音和隔光效果，其排气装置和隧道主体配合具有排污和为太阳能电池板降温的功能。
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| GB/T 7714 | 薛鹏 , 李森渊 , 康鹏飞 et al. 具有排污和冷却功能的人工隧道 : CN202221073076.3[P]. | 2022-05-06 . |
| MLA | 薛鹏 et al. "具有排污和冷却功能的人工隧道" : CN202221073076.3. | 2022-05-06 . |
| APA | 薛鹏 , 李森渊 , 康鹏飞 , 谢静超 , 卜全龙 , 田光大 et al. 具有排污和冷却功能的人工隧道 : CN202221073076.3. | 2022-05-06 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明涉及道路交通技术领域，具体涉及一种缝隙采光的光伏发电顶棚，其包括用于跨设在道路上的棚体和太阳能发电系统，棚体包括由内而外依次间隔套设在一起的棚体内层和棚体外层；所述太阳能发电系统包括铺设在棚体上的太阳能电池板；所述棚体包括设置在棚体外层上的外层透光窗和设置在棚体内层上的内层透光窗，棚体内层的与外层透光窗相对的区域为内层不透光区域，棚体外层与内层透光窗相对的区域为外层不透光区域；所述外层透光窗和内层透光窗错位设置，内层透光窗与至少一个外层透光窗相邻，内层透光窗和外层透光窗的交界处设有采光缝隙；所述光伏发电顶棚能减少声光污染且提高驾驶安全性。
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| GB/T 7714 | 薛鹏 , 赵一凡 , 谢静超 et al. 一种缝隙采光的光伏发电顶棚 : CN202210662229.6[P]. | 2022-06-13 . |
| MLA | 薛鹏 et al. "一种缝隙采光的光伏发电顶棚" : CN202210662229.6. | 2022-06-13 . |
| APA | 薛鹏 , 赵一凡 , 谢静超 , 胡江碧 , 张迪 , 陈俊伟 et al. 一种缝隙采光的光伏发电顶棚 : CN202210662229.6. | 2022-06-13 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明公开了一种基于晴天光谱信息的天空颜色建模方法，主要基于Perez亮度模型的基础函数，将天空面元位置、太阳位置、辐射数据和基于光谱信息计算的色坐标进行拟合分析，最终建立可以表示天空颜色分布的模型；本发明方法建立具有颜色信息的模型以完善天空模型在色度学领域的应用。借用本发明提出模型估算实时的天空光谱数据变化规律，为具有光谱选择性玻璃的建筑采光模拟提供理论参考，利用本发明提出的色坐标比相关色温更加科学准确。
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| GB/T 7714 | 薛鹏 , 王贺 , 李森渊 et al. 一种基于晴天光谱信息的天空颜色建模方法 : CN202211161060.2[P]. | 2022-09-22 . |
| MLA | 薛鹏 et al. "一种基于晴天光谱信息的天空颜色建模方法" : CN202211161060.2. | 2022-09-22 . |
| APA | 薛鹏 , 王贺 , 李森渊 , 罗涛 , 张滨 . 一种基于晴天光谱信息的天空颜色建模方法 : CN202211161060.2. | 2022-09-22 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明公开了一种基于晴天光谱信息的天空颜色建模方法，解决现有天空亮度模型无法还原天空颜色信息和利用相关色温表示颜色存在的色偏差问题。利用光谱天空扫描仪测量半球面145个天空面元的光谱数据；基于光谱数据求解每个天空面元的色坐标(x, y)；基于直射和散射数据建立天顶颜色模型；搭建BP神经网络模型框架；输入层设为天空面元高度角、天空面元方位角、太阳高度角、太阳方位角和天顶色坐标值得到最终模型。本发明方法建立具有颜色信息的模型以完善天空模型在色度学领域的应用。借用本发明提出模型估算实时的天空光谱数据变化规律，为具有光谱选择性玻璃的建筑采光模拟提供理论参考。利用本发明提出的色坐标比相关色温更加科学准确。
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| GB/T 7714 | 薛鹏 , 张钰炜 , 赵一凡 et al. 一种基于晴天光谱信息和BP神经网络方法的天空颜色建模方法 : CN202211161063.6[P]. | 2022-09-22 . |
| MLA | 薛鹏 et al. "一种基于晴天光谱信息和BP神经网络方法的天空颜色建模方法" : CN202211161063.6. | 2022-09-22 . |
| APA | 薛鹏 , 张钰炜 , 赵一凡 , 王贺 , 罗涛 . 一种基于晴天光谱信息和BP神经网络方法的天空颜色建模方法 : CN202211161063.6. | 2022-09-22 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本实用新型涉及道路交通技术领域，具体涉及一种人工隧道系统，其包括隧道主体和光伏发电系统；所述隧道主体用于可拆卸的跨设在道路上，其包括吸音层结构；所述光伏发电系统包括设置在隧道主体上的太阳能电池板组，光伏发电系统与人工隧道系统的用电设施电连；所述人工隧道系统，能避免极端天气对于行驶车辆的影响，能避免或显著降低噪声对外部环境的影响，其光伏发电系统为人工隧道系统的用电设施供电，符合节能减排以及碳中和的发展趋势。
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| GB/T 7714 | 薛鹏 , 金玲 , 谢静超 et al. 人工隧道系统 : CN202220405974.8[P]. | 2022-02-25 . |
| MLA | 薛鹏 et al. "人工隧道系统" : CN202220405974.8. | 2022-02-25 . |
| APA | 薛鹏 , 金玲 , 谢静超 , 刘加平 . 人工隧道系统 : CN202220405974.8. | 2022-02-25 . |
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