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竖管集热阵列的水箱温度预测和试验验证

Water tank temperature prediction and test verification of vertical tube set collector array
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摘要 竖管集热阵列在使用过程中,国内外学者对外部环境因素对阵列性能的影响进行了许多研究,都没有得到阵列建立及使用的明确建议。但是,阵列在使用过程中一定会受到环境因素的影响,所以在这一方面开展相关研究非常必要。以竖管集热阵列的蓄热水箱为研究对象,建立数学模型分析发现风速、环境温度、太阳辐射强度是影响集热阵列水箱温度的主要影响因素,并准确预测竖管集热阵列的水箱蓄热温度。为对理论模型进行验证,供暖季在甘肃省民勤县张麻新村进行试验,从试验数据处理分析得,模型建立正确,回归效果明显,并得到了环境因素对水箱温度的影响程度。为竖管集热阵列蓄热供暖相关试验以及示范工程的建立提供设计依据。 In the process of using the vertical tube collector,many researches on the influence of environment on the array performance have been carried out by scholars around the world,and no specific suggestions have been made for the establishment and use of the array.However,the array is bound to be affected by environmental factors in the process of use,so it is necessary to conduct relevant research in this area.In vertical tube collector array heat storage water tank as the research object,it was established mathematical model for the analysis found that wind speed,temperature and solar radiation intensity were the main factors influencing the temperature of the collector array tank,and predict the water tank vertical tube collector array heat storage temperature.For validation of theoretical model,it was testing in the heating season in Minqin county,Gansu province.From test data processing analysis,model building with right regression and effect are obvious,and predict the influence of environmental factors on the water tank temperature.It provides design basis for the experiment of heat storage and demonstration project.
作者 杨捷媛 李金平 Yang Jieyuan;Li Jinping(Energy and Environment Research Center, Lanzhou University of Technology, Lanzhou, 730050, China;Northwest Cooperative Innovation Center for Low Carbon Cities, Lanzhou, 730050, China;Gansu Key Laboratory of Biomass and Solar Energy Supply and Energy Supply System, Lanzhou, 730050, China)
出处 《中国农机化学报》 北大核心 2018年第3期66-69,共4页 Journal of Chinese Agricultural Mechanization
基金 国家自然科学基金项目(51676094)
关键词 竖管集热阵列 水箱温度 环境因素 温度预测 vertical tube collector array water tank temperature environmental factors temperature prediction
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