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Energy-saving control method, electronic device, storage medium, device and system

An energy-saving control and equipment group technology, which is applied in heating and ventilation control systems, transmission systems, lighting and heating equipment, etc., can solve the problem that the parallel mode of chillers cannot be considered, the parallel operation mode cannot be considered, and the selection of model construction parameters is not perfect. And other issues

Pending Publication Date: 2018-12-21
GUANGZHOU CANLEAD ENERGY TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the limitations of incomplete selection of model construction parameters, low model accuracy, and cumbersome application calculations, the traditional control strategy optimization method cannot consider all possible parallel modes of chillers, and most of them only have a number of pre-planned parallel operations. The comparative analysis of different schemes cannot take into account all the parallel operation modes
However, in actual engineering, the cooling capacity of each chiller in the unit is not the same, and different parallel combinations also have their own optimal applicable load ranges. If the analysis is limited to several pre-planned parallel modes, the optimization results may be It will become a local optimum, and the main factors and schemes of the whole cannot be considered comprehensively

Method used

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  • Energy-saving control method, electronic device, storage medium, device and system
  • Energy-saving control method, electronic device, storage medium, device and system
  • Energy-saving control method, electronic device, storage medium, device and system

Examples

Experimental program
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Embodiment approach 1

[0104] The energy-saving control method relates to an energy-saving control technology of a public building cloud computing operation platform based on the Internet of Things.

[0105] The equipment group mainly refers to the chiller unit of the central air-conditioning system. The chiller unit includes the main operating equipment of the evaporator, condenser and compressor. The data generated by the operation of the aforementioned operating equipment can be collected through sensors. This method is based on the big data analysis of the above operating equipment data to generate a corresponding energy-saving control strategy.

[0106] The EER mentioned in the present invention refers to the ratio of the cooling capacity of the chiller to the shaft power.

[0107] The load rate refers to the ratio of the current cooling capacity of the chiller to the rated cooling capacity.

[0108] Power consumption refers to the loss of power, which refers to the difference between the inpu...

Embodiment 1

[0174] Taking three chillers with different capacities on the market as an example, the refrigerants are all R134a, and the calculation conditions and structural parameters of the units are as follows:

[0175] Working conditions of the unit group:

[0176]

[0177] Unit structure parameters:

[0178]

[0179] According to the above-mentioned parallel characteristic model computer group chilled water flow distribution (because the total load of the unit group is determined, the chilled water main pipe flow G total Known), the calculation process is as follows:

[0180] Assuming that the chilled water main pipe pressure drop △p of the unit group is known, since the pressure drop of each chiller is equal to the main pipe pressure drop, then for No. 1 main engine, it is assumed that the chilled water flow rate v o , the kinematic viscosity ν of the frozen water can be obtained by inquiring the physical property parameter table from the temperature of the water in and out ...

Embodiment 2

[0237] Taking a certain office building as the research object, the operating data of its unit is shown in the table below, and it is designated as unit 2.

[0238]

[0239] In the transitional season, the control strategy of this office building is the conventional control method of equal cooling water supply temperature, and the operator usually starts two large machines to run in parallel based on experience. Take the load distribution of the building in one day as the research sample, and draw the load distribution time series diagram based on the sample as shown in the attached Figure 5 shown. From the information in the figure, it can be seen that the total load of the chiller increases rapidly from 40% to 64% from 8:00 am to 11:30 am due to the closeness of working time around 8:00 in the morning, and is in the range of 58% to 60%. During the lunch break, the total unit load dropped rapidly from 60% to 46% from around 11:00 to 12:00 noon, and fluctuated up and down...

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Abstract

The invention discloses an energy-saving control method, comprising the steps of constructing a model, and constructing a thermodynamic model of a device group. Data receiving step of receiving operation data of a device group and obtaining a corresponding unit time load rate data group according to the operation data; Policy generation steps, EER load rate data set and power consumption are obtained by that thermodynamic model, the EER load rate data set is the correlation ratio data of the refrigeration energy efficiency ratio and the load rate, and each unit time load rate in the unit timeload rate data set and the EER load rate data set or power consumption are optimized and matched to obtain the energy-saving control strategy of the equipment set. The EER load rate data set is the correlation ratio data of the refrigeration energy efficiency ratio and the load rate. The invention also discloses an electronic device, a computer-readable storage medium, an energy-saving control device and a system. The invention collects the big data of the running equipment connected with the system, and makes concrete analysis on the data of the actual running situation of the collected running equipment, so as to adjust the running strategy in time to achieve the energy-saving control effect.

Description

technical field [0001] The present invention relates to the technical field of HVAC control, in particular to an energy-saving control method, electronic equipment, storage medium, device and system of a public building cloud computing operation platform based on the Internet of Things. Background technique [0002] The Internet of Things technology is developing day by day, and it has been widely applied to various large-scale industrial projects, such as the data management system based on the Industrial Internet of Things. . For example, a central air-conditioning management system based on the Internet of Things, a common central air-conditioning system consists of a cold and heat source system and an air conditioning system. The principle of liquid vaporization refrigeration is used to provide the required cooling capacity for the air conditioning system to offset the cooling load of the indoor environment; the heating system provides the air conditioning system with h...

Claims

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Application Information

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IPC IPC(8): G06F17/50F24F11/00H04L29/08F24F110/10
CPCH04L67/12F24F11/00F24F2110/10G06F2119/08G06F30/20Y02D30/50
Inventor 梁伟明刘雪峰卢智涛郑宇蓝张隆希彭志波王钧
Owner GUANGZHOU CANLEAD ENERGY TECH CO LTD
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