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学者姓名：陈超
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摘要 ：
Improving the solar thermal storage capacity of the north wall of the solar greenhouse can effectively enhance the indoor thermal environment during the night-time in winter. However, the indoor thermal environment is also influenced by the interaction between the spatial parameters of the solar greenhouse and outdoor meteorological conditions. Additionally, the heat storage and release performance of the north wall are dynamically affected by changes in the indoor thermal environment. This complicates the quantitative assessment of the impact of solar active-passive heat storage methods applied to north walls on the indoor thermal environment. Therefore, in this study, we develop a mathematical model that considers simplified calculations of the solar greenhouse's spatial parameters and the design method of an active-passive ventilation wall with latent heat storage, which was proposed in the early stage, for evaluating the impact of the solar thermal storage and release characteristics of the north wall on the indoor thermal environment of the solar greenhouse. This model is validated against measured data from the experimental solar greenhouse with high accuracy. Using this model, we analyze the quantitative reinforcement effects of a phase change composite wallboard and a solar collector system on the solar energy utilization of the north walls and its effects on the indoor thermal environment. Compared to ordinary solar greenhouses in Wuzhong, the application of a GH-20 composite phase change thermal storage wallboard to improve the passive solar energy utilization of the north wall can increase the solar energy contribution rate by 90.9%. Furthermore, integrating a multi-surface solar air collector with doublereceiver tubes on the phase change composite wall can increase the solar energy contribution rate by 95.4%. Also, the experimental results reveal that the solar active-passive heat storage methods applied to the north wall can enhance the indoor thermal environment during night-time and increase cucumber yield by more than 10% in winter. This study provides a method reference for optimizing the active-passive solar thermal utilization of the solar greenhouse.
关键词 ：
Thermal performance Thermal performance Mathematical model Mathematical model Active-passive solar energy utilization Active-passive solar energy utilization Heat storage wall Heat storage wall Solar greenhouse Solar greenhouse
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| GB/T 7714 | Han, Fengtao , Chen, Chao , Chen, Hui et al. Research on creating the indoor thermal environment of the solar greenhouse based on the solar thermal storage and release characteristics of its north wall [J]. | APPLIED THERMAL ENGINEERING , 2024 , 241 . |
| MLA | Han, Fengtao et al. "Research on creating the indoor thermal environment of the solar greenhouse based on the solar thermal storage and release characteristics of its north wall" . | APPLIED THERMAL ENGINEERING 241 (2024) . |
| APA | Han, Fengtao , Chen, Chao , Chen, Hui , Duan, Shuangping , Lu, Bin , Jiao, Yongxiang et al. Research on creating the indoor thermal environment of the solar greenhouse based on the solar thermal storage and release characteristics of its north wall . | APPLIED THERMAL ENGINEERING , 2024 , 241 . |
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摘要 ：
A solar greenhouse is an agricultural facility used for winter vegetable production. Its unique structure creates a superior heat environment in winter. Soil temperature plays a pivotal role in the root growth of greenhouse crops and serves as a crucial indicator for assessing solar greenhouse performance. However, due to the interplay of soil temperature with the structural features of the solar greenhouse and the complex relationship between outdoor meteorological conditions, understanding the soil temperature variation pattern inside the greenhouse is challenging. To gain deeper insights into the soil temperature distribution, this study presents a computational model based on experimental measurements and the principles of thermal conductivity differential equations for semiinfinite walls. Additionally, it analyzes the influence of different regions and weather conditions on greenhouse soil temperature in conjunction with the growth patterns of greenhouse crops, and proposes three measures for its improvement. The results demonstrate the accuracy of soil temperature calculation models at depths of 0.10 m, 0.20 m, 0.30 m, and 0.50 m, with RMSEs of 0.54 degrees C, 0.41 degrees C, 0.32 degrees C, and 0.17 degrees C, respectively. The period when soil temperature in Beijing cannot meet crop growth primarily falls between January 7th and January 20th. By implementing measures such as changing the front roof material, adopting an optimal spatial form, and modifying the wall structure, soil temperatures can be increased by 0.78 degrees C, 0.74 degrees C, and 0.36 degrees C, respectively. When all three measures are employed simultaneously, soil temperatures can be raised by an average of 2.13 degrees C in winter. This proposed model can calculate the soil temperature in the greenhouse when outdoor meteorological conditions are known. The findings of this study offer valuable insights for optimizing the design of solar greenhouses and creating an ideal thermal environment.
关键词 ：
Predictive model Predictive model Experimental study Experimental study Soil temperature Soil temperature Heat transfer process Heat transfer process Solar greenhouse Solar greenhouse
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| GB/T 7714 | Jiao, Yongxiang , Chen, Chao , Li, Gongcheng et al. Research on the variation patterns and predictive models of soil temperature in a solar greenhouse [J]. | SOLAR ENERGY , 2024 , 270 . |
| MLA | Jiao, Yongxiang et al. "Research on the variation patterns and predictive models of soil temperature in a solar greenhouse" . | SOLAR ENERGY 270 (2024) . |
| APA | Jiao, Yongxiang , Chen, Chao , Li, Gongcheng , Fu, Haoqi , Mi, Xue . Research on the variation patterns and predictive models of soil temperature in a solar greenhouse . | SOLAR ENERGY , 2024 , 270 . |
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摘要 ：
本发明公开了一种针对综合管廊电缆火灾蔓延的智能控制灭火系统及方法，包括：实验台主体、火源系统、火灾监测系统、火灾预测系统以及智能控制灭火系统。所述实验台能够模拟综合管廊电缆在不同位置处发生火灾，实现对电缆火灾蔓延的精准预测，将全景红外热成像传感器按照等间距布置在实验台主体顶棚下方滑轨侧面以及细水雾喷头中部，连接物体检测网络可迅速识别定位火灾位置并获取电缆火灾火焰蔓延特性数据集。所述火灾预测系统，采用基于神经网络的模型来进行火灾预测模型训练，组建电缆火灾蔓延特征预测数据库，构建时间序列综合管廊电缆火灾蔓延预测趋势。
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| GB/T 7714 | 李炎锋 , 许德胜 , 陈超 et al. 一种针对综合管廊电缆火灾蔓延的智能控制灭火系统及方法 : CN202310600832.6[P]. | 2023-05-25 . |
| MLA | 李炎锋 et al. "一种针对综合管廊电缆火灾蔓延的智能控制灭火系统及方法" : CN202310600832.6. | 2023-05-25 . |
| APA | 李炎锋 , 许德胜 , 陈超 , 杨新 , 李俊梅 , 李嘉欣 et al. 一种针对综合管廊电缆火灾蔓延的智能控制灭火系统及方法 : CN202310600832.6. | 2023-05-25 . |
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摘要 ：
The span of a solar greenhouse is a crucial parameter determining its architectural space form characteristics, which in turn directly influences the passive solar energy utilization and light-heat environment within the greenhouse. As a result, building on prior research concerning the optimal orientation and height-span ratio of solar greenhouses, this study delves into the key factors affecting the optimal span and its evaluation indices. Global solar radiation is broken down into direct radiation and diffuse radiation, both of which serve as input parameters for Energy Plus weather files. Additionally, the soil temperature calculation model within a solar greenhouse is employed as the input condition for "Ground temperature" boundary conditions in Energy Plus. The field test demonstrates the efficacy of the Energy Plus model. Taking the calculation results into account, this research provides a comprehensive analysis of the impact of outdoor air temperature, solar radiation, north wall height, heat storage capacity, and soil temperature inside the greenhouse on the thermal environment when the span is altered. A simplified calculation model for determining the optimal span of solar greenhouses across various latitudes in China is proposed based on the optimal span evaluation index. Field tests confirm the effectiveness of this calculation model. This study enhances the design and calculation methods for optimal space form characteristic parameters of solar greenhouses. Furthermore, it offers an analytical method reference for the optimal design of solar greenhouses, efficient construction of thermal environments, and intelligent management and control.
关键词 ：
Optimal span Optimal span Experimental verification Experimental verification Solar greenhouse Solar greenhouse Energy Plus simulation Energy Plus simulation Simplified calculation model Simplified calculation model
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| GB/T 7714 | Fu, Haoqi , Chen, Chao , Niu, Xiaochen et al. Determining the optimum span of a solar greenhouse [J]. | SOLAR ENERGY , 2023 , 263 . |
| MLA | Fu, Haoqi et al. "Determining the optimum span of a solar greenhouse" . | SOLAR ENERGY 263 (2023) . |
| APA | Fu, Haoqi , Chen, Chao , Niu, Xiaochen , Han, Fengtao , Mi, Xue , Jiao, Yongxiang et al. Determining the optimum span of a solar greenhouse . | SOLAR ENERGY , 2023 , 263 . |
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摘要 ：
日光温室太阳能光伏“四重”结构相变蓄热墙体构筑体系实现太阳能周年高效利用，属于现代设施农业绿色建造与生产领域及可再生能源应用领域，解决利用将光伏系统产生的电能直接并网，应用模式单一、投入产出率低、推广应用难度大的问题。墙体由最外侧的保温材料层、次外侧的重质水泥砌块砖层、中间的电热膜以及内侧的相变材料层构成；设计方法包括光伏组件板最佳安装角度β最佳确定，还包括根据光伏组件板的安装面积及其光电效率、以及电热膜的敷设面积及其电热效率，确定敷设在日光温室太阳能光伏“四重”结构相变蓄热墙体内作为“内热源”的发热量。
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| GB/T 7714 | 陈超 , 宓雪 , 韩枫涛 et al. 日光温室太阳能光伏“四重”结构相变蓄热墙体构筑体系 : CN202210619918.9[P]. | 2022-06-02 . |
| MLA | 陈超 et al. "日光温室太阳能光伏“四重”结构相变蓄热墙体构筑体系" : CN202210619918.9. | 2022-06-02 . |
| APA | 陈超 , 宓雪 , 韩枫涛 , 付浩祺 , 李恭丞 , 焦勇翔 . 日光温室太阳能光伏“四重”结构相变蓄热墙体构筑体系 : CN202210619918.9. | 2022-06-02 . |
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摘要 ：
本发明公开了一种基于车流车型的城市地下交通隧道智能通风方法与装置，包括：车流量检测模块、智能控制模块以及风门控制器和变频风机，所述车流量检测模块包括车辆红外线检测器和信号转换器；该方法主要是利用长短期记忆网络(LSTM)，即一种时间递归神经网络，适用于处理和预测时间序列中间隔和延迟相对较长的重要事件，来预测隧道内不同车型的交通流、车型(重点新能源车比例)，从而根据预测的交通流来计算隧道内的需风量，进而对隧道内通风系统的变频风机进行智能控制，达到既能保证隧道内的污染物浓度低于规范限定值、又能减少通风系统运行能耗的目的。
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| GB/T 7714 | 李炎锋 , 刘爽 , 杨泉 et al. 一种基于车流车型的城市地下交通隧道智能通风方法与装置 : CN202211068112.1[P]. | 2022-09-01 . |
| MLA | 李炎锋 et al. "一种基于车流车型的城市地下交通隧道智能通风方法与装置" : CN202211068112.1. | 2022-09-01 . |
| APA | 李炎锋 , 刘爽 , 杨泉 , 雷晨彤 , 苏枳赫 , 马政 et al. 一种基于车流车型的城市地下交通隧道智能通风方法与装置 : CN202211068112.1. | 2022-09-01 . |
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摘要 ：
本发明公开了一种深埋空间地下排风机房阻力损失的理论计算方法，涉及地下空间的通风技术领域。本发明针对抽水蓄能电站排风机房风道结构复杂，难以用理论计算的问题，提出了合理的修正系数，对理论计算结果进行修正，综合理论计算、数值计算以及二次修正的方法来确定不同布置方式的排风机房阻力，给出了排风机房阻力损失的通用计算公式，同时本发明借助理论公式分析了多台风机并联运行时不同风机开启方式对排风机房的阻力的影响，克服了现有理论计算方法难以求解复杂风道阻力损失的问题。本发明有助于为排风机房的风机设备选型提供指导意见，简化数值模拟的计算量。
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| GB/T 7714 | 李炎锋 , 田伟 , 苏枳赫 et al. 一种深埋空间地下排风机房阻力损失的理论计算方法 : CN202210345127.1[P]. | 2022-03-31 . |
| MLA | 李炎锋 et al. "一种深埋空间地下排风机房阻力损失的理论计算方法" : CN202210345127.1. | 2022-03-31 . |
| APA | 李炎锋 , 田伟 , 苏枳赫 , 李嘉欣 , 陈超 , 赵守冲 et al. 一种深埋空间地下排风机房阻力损失的理论计算方法 : CN202210345127.1. | 2022-03-31 . |
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摘要 ：
预制混凝土(PC)构件蒸汽养护工艺以消耗大量化石能源为代价。本研究结合本文作者课题组研制的复合相变材料热特性以及预制混凝土构件蒸汽养护工艺特点,基于被动式太阳能相变蓄热PC构件升温养护建筑一体化设计理念,将复合相变材料应用于升温养护建筑主朝阳墙体内表面,结合Energy Plus能耗模拟软件及试验研究的方法,开展了关于不同热物性复合相变材料对新型升温养护建筑热工性能影响的研究。研究结果表明:较GH-33复合相变材料,主朝阳墙体内表面采用GH-37复合相变材料,墙体内表面温度夜间平均提高3.4℃;PC构件上部表面温度夜间平均提高1.4℃;实验期间复合相变材料的蓄放热速率较前者平均提高62%。研究...
关键词 ：
升温养护建筑 升温养护建筑 复合相变材料 复合相变材料 太阳能相变蓄热 太阳能相变蓄热 热物性 热物性 预制混凝土(PC)构件 预制混凝土(PC)构件
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| GB/T 7714 | 于楠 , 陈超 , 蔺洁 et al. 应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性 [J]. | 化工进展 , 2021 , 40 (01) : 297-304 . |
| MLA | 于楠 et al. "应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性" . | 化工进展 40 . 01 (2021) : 297-304 . |
| APA | 于楠 , 陈超 , 蔺洁 , 韩枫涛 , 邹平 , 贺祎鹏 et al. 应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性 . | 化工进展 , 2021 , 40 (01) , 297-304 . |
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摘要 ：
应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性
关键词 ：
升温养护建筑 升温养护建筑 复合相变材料 复合相变材料 太阳能相变蓄热 太阳能相变蓄热 热物性 热物性 预制混凝土(PC)构件 预制混凝土(PC)构件
引用：
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| GB/T 7714 | 于楠 , 陈超 , 蔺洁 et al. 应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性 [J]. | 于楠 , 2021 , 40 (1) : 297-304 . |
| MLA | 于楠 et al. "应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性" . | 于楠 40 . 1 (2021) : 297-304 . |
| APA | 于楠 , 陈超 , 蔺洁 , 韩枫涛 , 邹平 , 贺祎鹏 et al. 应用于太阳能相变蓄热PC构件升温养护建筑的复合相变材料热物性 . | 于楠 , 2021 , 40 (1) , 297-304 . |
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摘要 ：
北京地区某高校教室细菌气溶胶浓度随季节变化特性实测调研
关键词 ：
教室 教室 细菌气溶胶 细菌气溶胶 粒径分布 粒径分布 北京地区 北京地区 实测 实测 浓度 浓度
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| GB/T 7714 | 苗豆豆 , 陈超 , 赵晨 et al. 北京地区某高校教室细菌气溶胶浓度随季节变化特性实测调研 [J]. | 苗豆豆 , 2021 , 51 (2) : 12-19 . |
| MLA | 苗豆豆 et al. "北京地区某高校教室细菌气溶胶浓度随季节变化特性实测调研" . | 苗豆豆 51 . 2 (2021) : 12-19 . |
| APA | 苗豆豆 , 陈超 , 赵晨 , 暖通空调 . 北京地区某高校教室细菌气溶胶浓度随季节变化特性实测调研 . | 苗豆豆 , 2021 , 51 (2) , 12-19 . |
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