中国农业科学 ›› 2011, Vol. 44 ›› Issue (5): 898-908 .

• 耕作栽培·生理生化·农业信息技术 • 上一篇    下一篇

基于光热资源的中国温室气候区划与能耗估算系统建立

姚益平,苏高利,罗卫红,戴剑锋

  

  1. (南京农业大学农学院)
  • 收稿日期:2010-12-03 修回日期:2010-12-28 出版日期:2011-03-01 发布日期:2011-03-01
  • 通讯作者: 罗卫红

A Photo-Thermal Resources Based System for Greenhouse Climate Zonation and Energy Consumption Estimation in China

YAO Yi-ping, SU Gao-li, LUO Wei-hong, DAI Jian-feng
  

  1. (南京农业大学农学院)
  • Received:2010-12-03 Revised:2010-12-28 Online:2011-03-01 Published:2011-03-01
  • Contact: LUO Wei-hong

摘要:

【目的】建立基于光热资源的中国温室气候区划与能耗估算计算机系统,实现中国温室的动态区划,明确中国温室作物周年生产光热资源与能耗分布状况。【方法】针对温室作物生产特点,确定10个温室气候区划指标,采用模糊C-均值聚类方法进行气候区划,并建立基于光热资源的中国温室气候区划系统。将温室气候区划系统与温室作物周年生产能耗预测模型相结合,建立基于光热资源的中国温室气候区划与能耗估算计算机系统,并以Venlo型玻璃温室及温室主栽作物黄瓜和番茄作物为例,利用中国621个标准气象站30年(1971—2000)的逐日气象资料,对系统进行应用实例分析。【结果】系统将中国区划为温室作物生产适宜、次适宜和不适宜3个一级区域和9个二级区(每个一级区分为I级、II级、III级区)。适宜区的特点是一年中适宜温室作物生产时期长,温室冬季加温能耗低,决定温室作物生产经济效益的主要因子是适宜温室作物生产时期的总太阳总辐射量。次适宜和不适宜区的特点是温室冬季加温时间长、能耗高,夏季降温能耗少,决定温室作物生产经济效益的主要因子是温室需要进行加热时期的负积温。【结论】本研究建立的系统一方面可以根据历史气候资料年代的变化进行温室气候动态区划,明确不同气候区温室作物生产光热资源分布动态,另一方面可以应用于计算不同类型温室和不同作物在不同温室温度控制目标下,各个温室气候区域的温室作物周年生产能耗,为中国不同类型温室投资风险评估、以及从能耗角度优化温室结构设计和环境调控提供理论依据与决策分析工具。

关键词: 温室, 能耗, 气候区划系统, 光热资源

Abstract:

【Objective】A photo-thermal resources based system for greenhouse climate zonation and energy consumption estimation was developed for dynamic climate zonation and identification of the distributions of photo-thermal resources and energy consumption for greenhouse crop production in China. 【Method】 First, 10 indices for greenhouse climate zonation were determined based on historical climate data set. Based on the values of the 10 indices, climate zonation was implemented by means of fuzzy C-Means (FCM) clustering method and a photo-thermal resources based system for dynamic climate zonation was developed. Secondly, a computer system was developed for climate zonation and energy consumption estimation for greenhouse crop production in China by integrating the photo-thermal resources based system for dynamic climate zonation with an energy balance based model for prediction greenhouse energy consumption. Thirdly, using 30 years (1971-2000) average daily weather data from 621 standard weather stations in China, a case study was conducted for greenhouse climate zonation and energy consumption estimation for a Venlo type greenhouse where infinite growth cucumber and tomato crops grow yearly around.【Result】The case study shows that China can be classified into 3 main regions (suitable, sub-suitable and unsuitable) and 9 sub-regions for greenhouse crop production. The suitable region is characterized with long period suitable for greenhouse crop production and low energy consumption for greenhouse heating. In this region, the major climate factor determining crop yield and profitability of greenhouse crop production is the total global ration during the period suitable for greenhouse crop production. The sub-suitable and unsuitable regions are characterized with long period and large energy consumption required for heating whereas low energy consumption for cooling in summer. In the later two regions, the major climate factor determining crop yield and profitability of greenhouse crop production is the accumulated negative temperature during the period for greenhouse heating. 【Conclusion】 The system developed in this study can be used not only for dynamic climate zonation and the identification of the distributions of photo-thermal resources for greenhouse crop production with historical climate data, but also for estimations of energy consumption for yearly around crop production in different types of greenhouse under different set-points for greenhouse temperature control. Therefore, the system has the potential to be used for assessing the risk for greenhouse investment and optimizing greenhouse structure and climate control from energy saving point of view.

Key words: greenhouse, energy consumption, system for climate zonation, photo-thermal resources