| The supply of Anti-season fruits and vegetables remains a major problem that troubled northeast China and energy-saving greenhouse plays a vital role in the production of fruits and vegetables. How to maximize productivity and lower the energy consumption under the premise of ensuring the yield and quality of vegetables became the NO.1 priority. Currently, most of the greenhouse environment simulation model are too complicated to be applied into practice.Solar greenhouses are widely used in northeast China to grow vegetables in winter. The energy consumption and distribution were determined in field experiments in a greenhouse measuring 8 m span and 4 m ridge height in northeast China, monitoring for environmental factors inside and outside. The main purposes of this experiment is to establish the simplified energy distribution simulation model and explore the energy distribution pattern in the greenhouse. Each surface inside greenhouse irradiated with incoming solar radiation was calculated. The temperature of greenhouse including the front roof, north roof, north wall, canopy and soil, was calculated based on daily meteorological variables forecast by simulation modeling of each part and comparing with the results obtained using individual meteorological data under greenhouse conditions individually.Chinese greenhouse day and night energy consumption was calculated and compared. In early winter, the latent energy loss accounted for 73% of the conduction energy loss (during the day). When entering the coldest days, the conduction energy reached 45% during the day, and 54% at night, which has become the main cause for energy loss. The front roof accounted for the conduction energy loss (day:54%, night:68%). When the indoor temperature of the greenhouse was simulated maintained above 15℃, the best time for greenhouse heating was around 5 o’clock in the morning and total coal consumption in 3 months was approximately 4.4 t. Results show that this numerical model simulated the various paths of greenhouse energy flow and heating processes. We estimated the specific daily coal consumption to define a comprehensive heating strategy. |
