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地源热泵系统逆向建模度日数G函数法
引用本文:雷飞,胡平放,黄素逸.地源热泵系统逆向建模度日数G函数法[J].华中科技大学学报(自然科学版),2012,40(3):127-132.
作者姓名:雷飞  胡平放  黄素逸
作者单位:1. 华中科技大学环境科学与工程学院,湖北武汉,430074
2. 华中科技大学能源与动力工程学院,湖北武汉,430074
基金项目:国家自然科学基金资助项目
摘    要:提出了1种地源热泵系统逆向建模方法———度日数G函数法,利用地埋管换热器的温度响应与负荷的线性叠加关系,结合度日数法估算负荷,采用约束非线性单纯形法拟合模型参数.分别应用数值试验和2年的现场实测,通过与传统的管道蓄热系统(DST)模型调试法对比,对新模型进行了验证.与基于实测负荷的DST调试法相比,基于气温的度日数G函数法拟合误差的标准差约大30%,主要是由度日法预测负荷的误差引起.但当拟合计算中地埋管换热器参数的估值与实际值差距较大时,DST调试法的误差大于度日数G函数法.度日数G函数法只需要最少量的实测参数,适用于对住宅建筑的地源热泵空调系统的逆向分析.

关 键 词:地源热泵  逆向建模  换热器  度日数  模型验证  居住建筑

Degree-day G-functions approach of inverse model for ground source heat pump
Lei Feia Hu Pingfanga Huang Suyi.Degree-day G-functions approach of inverse model for ground source heat pump[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2012,40(3):127-132.
Authors:Lei Feia Hu Pingfanga Huang Suyi
Institution:Lei Feia Hu Pingfanga Huang Suyib(a School of Environmental Science and Engineering,b School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:An inverse model for ground source heat pump(GSHP),degree-day G-functions approach was proposed.The model was based on superposition theorem of geothermal heat exchangers(GHE) and degree-day model for estimating load,while model parameters were fitting by a simplex method.A residential vertical GSHP was monitored for two years.The simulated data and the monitored data were performed to validate the results from the degree-day G-functions approach and traditional duct storage systems(DST) calibrated approaches as comparison.The standard deviation of the predicted data of the degree-day G-functions approach was higher 30% than that of the DST calibrated approaches,mainly because of the predicted error of the GHE load by the degree-day model.When an inaccurate estimation of GHE parameter was used in the DST calibrated approaches,the error of the DST calibrated approaches was higher than that of the degree-day G-functions approach.It is shown that the degree-day G-functions approach is appropriate for the quantitative inverse modeling for residential GSHP.
Keywords:ground source heat pump  inverse model  heat exchangers  degree-day  validation of simulation model  residential buildings
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