曹晏飞, 荆海薇, 赵淑梅, 邹志荣, 鲍恩财. 日光温室后屋面投影宽度与墙体高度优化[J]. 农业工程学报, 2017, 33(7): 183-189. DOI: 10.11975/j.issn.1002-6819.2017.07.024
    引用本文: 曹晏飞, 荆海薇, 赵淑梅, 邹志荣, 鲍恩财. 日光温室后屋面投影宽度与墙体高度优化[J]. 农业工程学报, 2017, 33(7): 183-189. DOI: 10.11975/j.issn.1002-6819.2017.07.024
    Cao Yanfei, Jing Haiwei, Zhao Shumei, Zou Zhirong, Bao Encai. Optimization of back roof projection width and northern wall height in Chinese solar greenhouse[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(7): 183-189. DOI: 10.11975/j.issn.1002-6819.2017.07.024
    Citation: Cao Yanfei, Jing Haiwei, Zhao Shumei, Zou Zhirong, Bao Encai. Optimization of back roof projection width and northern wall height in Chinese solar greenhouse[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(7): 183-189. DOI: 10.11975/j.issn.1002-6819.2017.07.024

    日光温室后屋面投影宽度与墙体高度优化

    Optimization of back roof projection width and northern wall height in Chinese solar greenhouse

    • 摘要: 关于日光温室合理的后屋面投影宽度、墙体高度一直存在争议。该文根据不同日期太阳直射光线在日光温室后墙上的投影高度变化,要求当室外最低温度低于0 ℃时,保证在中午前后4 h(10:00-14:00)内至少有一部分后墙能接受太阳光直射为条件,得出不同纬度地区日光温室墙体接受太阳光直射的合理时期,并据此得出日光温室后屋面投影宽度、墙体高度的计算方法。利用该方法对中国不同结构类型的日光温室后屋面投影宽度、墙体高度进行计算分析,结果显示后屋面投影宽度占跨度的比例为0.04~0.23,其中纬度位于34°~38°之间的西北地区日光温室后屋面投影宽度占跨度的比例最小,为0.04~0.11。该方法计算结果与典型日光温室结构参数吻合,具有可行性,可为中国日光温室的优化设计提供理论指导。

       

      Abstract: Abstract: The typical Chinese solar greenhouse, compared to other types of greenhouse, has the properties of low construction cost and low energy consumption when operating during winter days, which draws the attention of the researcher in the field of facility horticulture. In recent years, the structural parameters, such as span, ridge height and wall thickness in Chinese solar greenhouse have been extensively studied. However, the correlation relationship between reasonable back roof projection width (BRPW) and northern wall height (NWH) have always been inconsistent and require further investigation. In this study, a new method for calculating BRPW and NWH was obtained based on the reasonable periods where the northern wall surface receive direct solar radiation in different latitude regions. Firstly, the average monthly lowest temperature and the average monthly highest temperature were statistically analyzed in some cities from January to June in 1998-2012. The data showed that when the average monthly lowest temperature was close to or exceeded 0 ℃, the average monthly highest temperature was close to or exceeded 30 ℃. Therefore, combined with the traditional Chinese solar knowledge, it is suggested that when the average monthly lowest temperature was lower than 0 ℃, it was necessary to ensure that at least part of the northern wall can receive direct solar radiation between 10:00 to 14:00 each day. Based on this, the reasonable periods where the northern wall surface received direct solar radiation in Chinese solar greenhouse in different latitude regions were obtained. Then according to the change of the sun direct light in the reasonable periods, the method for calculating BRPW and NWH in Chinese solar greenhouse was obtained. The NWH of solar radiation, which were observed at 10:00 am on winter solstice, in the solar greenhouses with different spans, were calculated by using the typical structure parameters of Chinese solar greenhouse in previous studies. The effects of thermal environment analysis were in accordance with the results in literatures. The utilization of the method for modeling the NWH of solar radiation in the well-known Shouguang solar greenhouse in various date confirmed that the actual period where the northern wall accept the direct solar radiation was close to the reasonable period proposed in this study, further suggesting the feasibility of this method. The method has been used to calculate the front roof lighting angle, ridge height, BRPW and NWH in solar greenhouses with various spans in different cities in China. The ratio of BRPW to the span in solar greenhouse ranged from 0.04 to 0.23, which varied in in geographic locations and climatic conditions. When the climatic conditions in different areas were similar, the increase of latitude resulted in an increase of BRPW. The areas with lowest BRPW ratio (0.04 to 0.11) were located in Taiyuan, Xi’an, Lanzhou, Xining, Yinchuan and other low-latitude cold regions. These results suggested that the BRPW can be slightly decreased in cold areas and appropriately increased in warm regions. This method can provide theoretical guidance for optimal design of solar greenhouse in China.

       

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