摘要
【目的】建立一个基于温室小气候模型的温室冬季加温所需基础能耗计算机预测系统,为进一步研究中国温室环境的优化调控提供依据。【方法】根据能量平衡原理,综合考虑作物蒸腾对温室运行能耗的影响,建立了温室加温所需基础能耗预测系统。利用温室作物蒸腾和小气候观测试验资料确定了温室小气候模型中的作物参数,并用上海两个Venlo型自控温室2001年～2003年3个冬季的实际耗煤量对系统预测结果进行了检验。【结果】对两个温室冬季加温能耗预测结果与实际耗煤量统计分析回归方程分别为(x和y分别为实际值和预测值)y=0.8526x和y=0.8321x;决定系数R2分别为0.85和0.90;相对误差分别为27%和29%。结果表明,系统对能耗预测结果与实际耗煤量趋势一致。【结论】本研究建立的温室加温能耗预测系统是建立在温室小气候模型的基础上,其原理具有普适性,因此具有通用性强的特点。
[ Objective] The aim of the study was to develop a model based energy consumption system to predict the energy consumption for greenhouse heating in winter. [Method] Based on the principle of energy balance, taking into account the effect of canopy transpiration on greenhouse energy consumption, an energy consumption prediction system for greenhouse heating was developed. Experimental data of crop transpiration and greenhouse microclimate were used to determine the crop parameters in the greenhouse microclimate simulation model, and actual data of energy consumption （for heating） of two Venlo-type greenhouses in Shanghai during three winters （from October to next April of year 2001, 2002 and 2003） were used to test the system. [Result] The predicted results follows the actual greenhouse energy consumption for heating well. For the two greenhouses, the statistical regression equation between the predicted and the actual value are （x and y stand for actual and predicted data, respectively）： y = 0.8526x and y = 0.8321x, respectively. The coefficient of determination R2 between the predicted and the actual value are 0.85 and 0.90, respectively, the relative prediction error are 27% and 29%, respectively. [ Conclusion ] From the results mentioned above, it can be concluded that this system can give satisfactory predictions of greenhouse energy consumption for heating in subtropical China.
出处
《中国农业科学》
CAS
CSCD
北大核心
2006年第11期2313-2318,共6页
Scientia Agricultura Sinica
基金
国家自然科学基金项目(60073028)
国家"十.五"863计划项目(2001AA247023)
关键词
温室
能耗
预测
能量平衡
作物蒸腾
模型参数
Greenhouse
Energy consumption
Prediction
Energy balance
Crop transpiration
Model parameter
