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Computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method

A computational fluid dynamics and energy prediction technology, used in heating and ventilation control systems, heating methods, lighting and heating equipment, etc. Instability and other problems, to achieve uniform distribution, reduce heating, and save hardware costs

Active Publication Date: 2014-06-25
上海飞熠软件技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The multi-zone independent control method is likely to cause uneven temperature distribution in the high-space greenhouse, and has the disadvantages of instability of the overall heating control system, low temperature control accuracy and slow response time in the greenhouse.

Method used

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  • Computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method
  • Computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method
  • Computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method

Examples

Experimental program
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Effect test

Embodiment 1

[0077] Example 1 see image 3 and Figure 4 . image 3 Among them, the abscissa X is time and the unit is h, the ordinate Y1 is temperature and the unit is ℃, and the ordinate Y2 is solar radiation and the unit is W / m 2 , 103 represents the indoor temperature curve in Embodiment 1, 104 represents the outdoor temperature curve in Embodiment 1, 105 represents the set temperature curve in Embodiment 1, and 106 represents the outdoor radiation curve in Embodiment 1. Figure 4 Among them, the abscissa X is time and the unit is h, the ordinate Y is energy and the unit is kW, 101 represents the energy input curve controlled by the control method of the present invention in Embodiment 1, and 102 represents the energy input curve controlled by the traditional control method in Embodiment 1. In the rising stage of the set temperature, the control method of the present invention in Example 1 can increase the energy input 25 minutes earlier than the traditional control method. It shows...

Embodiment 2

[0078] Example 2 see Figure 5 and Image 6 . Figure 5 Among them, the abscissa X is time and the unit is h, the ordinate Y1 is temperature and the unit is ℃, and the ordinate Y2 is solar radiation and the unit is W / m 2 , 203 represents the indoor temperature curve in embodiment 2, 204 represents the outdoor temperature curve in embodiment 2, 205 represents the set temperature curve in embodiment 2, and 206 represents the outdoor radiation curve in embodiment 2. Image 6 Among them, the abscissa X is time and the unit is h, and the ordinate Y is energy and the unit is kW. 201 represents the energy input curve controlled by the control method of the present invention in Embodiment 2, and 202 represents the energy input curve controlled by the traditional control method in Embodiment 2. Under the same set temperature conditions, the actual temperature and energy consumption of Example 2 have a temperature and energy consumption curve similar to that of Example 1. It can be s...

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Abstract

The invention discloses a computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method. The computational fluid dynamics and energy prediction hybrid based greenhouse energy-saving control method includes the steps of 1), establishing a CFD (computational fluid dynamic) model; 2), simulating an indoor temperature field cloud picture according to the CFD model; 3), judging priorities of work of sets of fan coils; 4), predicting greenhouse energy; 5), establishing optimized objective function of energy consumption; 6), performing sequential quadratic programming optimization calculation; 7), acquiring total input energy of each time period according to calculation results, and regulating flow of fed water and total opening number of the fan coils by means of a PID (proportion integration differentiation) algorithm according to the calculated total input energy. By the method, indoor temperature fields and greenhouse energy consumption of the greenhouse can be well simulated, and thermal environment and energy consumption inside a research laboratory can be effectively simulated; the method is free of limitation of hardware conditions of a greenhouse control system, and hardware cost of the control system is saved; the greenhouse temperature fields can be evenly distributed, heating and cooling energy consumption can be lowered, and operation cost can be lowered.

Description

technical field [0001] The invention relates to the field of temperature control in tall and large space buildings, in particular to a modern greenhouse energy-saving control method, in particular to a greenhouse energy-saving control method based on computational fluid dynamics and energy prediction. Background technique [0002] Facility agriculture is a concrete embodiment of modern agriculture, a symbol of a country's agricultural development level, and an inevitable requirement for high-yield, high-quality, and efficient agriculture. As an important part of facility agricultural production, greenhouse production industry has attracted more and more attention from people. The agricultural production of modern large-scale greenhouse facilities has an important dependence on energy conditions, and the energy consumption is generally high. Therefore, the energy-saving control method of the greenhouse is of great significance to alleviate the energy contradiction. [0003]...

Claims

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Application Information

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IPC IPC(8): F24F11/00
Inventor 陈教料胥芳艾青林谭大鹏
Owner 上海飞熠软件技术有限公司
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