Intelligent cold storage energy-saving system based on peak-valley electricity price optimization

Abstract

The invention discloses an intelligent cold storage energy-saving system based on peak-valley electricity price optimization, and the system comprises a refrigeration fan which is disposed in a refrigeration house, consumes the valley electricity, converts the valley electricity into cold air, and supplies cold to the refrigeration house; the phase change energy storage material absorbs cold energy through material phase change when the refrigeration fan supplies cold, and releases the cold energy through phase change when the peak electricity refrigeration fan does not work and the refrigeration house reaches the phase change critical temperature; the controller is in control connection with the refrigeration fan, and start-stop logic is built in the controller; and the data storage module is used for storing system data, and the start-stop logic of the controller adopts common control logic based on time node control and temperature node control. By arranging the energy storage phase-change material, the dimension of the refrigeration house can be maintained by utilizing an energy storage structure at the peak electricity charge, and the dimension of the refrigeration house can be maintained by utilizing the energy storage structure at the valley value. And the air cooler can be directly used for cooling, so that the cooling electric charge is saved on the basis of ensuring cooling.

Description

Technical Field

[0001] The present invention relates to the field of energy-saving technology, and in particular to an intelligent cold storage energy-saving system based on peak-valley electricity price optimization. Background Art

[0002] Cold storage (English: ColdStore) is a type of refrigeration equipment. Cold storage refers to the use of artificial means to create an environment with different temperature or humidity from the outdoor. It is also a constant temperature and humidity storage equipment for food, liquids, chemicals, medicines, vaccines, scientific experiments and other items. Cold storage is usually located near the transportation port or the place of origin. Compared with refrigerators, cold storage has a larger refrigeration area and has the same refrigeration principle.

[0003] A large amount of electricity is required for cold storage cooling. For the power grid, the electricity price will be adjusted according to the peak and valley, but the refrigeration of the cold storage needs to be controlled according to the temperature of the cold storage. It is impossible to establish a reliable logic between the two. If manual control is used, on the one hand, it is impossible to make predictions, and on the other hand, the control accuracy is also low. As a result, when the same cooling effect is achieved, different electricity prices will result from different electricity usage modes, increasing the company's electricity burden.

[0004] To this end, the present invention proposes an intelligent cold storage energy-saving system based on peak-valley electricity price optimization. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides an intelligent cold storage energy-saving system based on peak-valley electricity price optimization, comprising:

[0006] A refrigeration fan is installed inside the cold storage and consumes valley electricity and converts it into cold air to supply cooling to the cold storage;

[0007] Phase change energy storage material, which absorbs cold energy through material phase change when the refrigeration fan is providing cooling, and releases cold energy through phase change when the peak power refrigeration fan is not working and the cold storage reaches the critical temperature of phase change;

[0008] A controller, which is connected to the cooling fan control and has built-in start and stop logic;

[0009] The data storage module is used to store system data.

[0010] Preferably, the start and stop logic of the controller adopts a common control logic based on time node control and temperature node control.

[0011] Preferably: the start-stop logic of the controller includes the following steps:

[0012] A1: Set the start time of the cooling fan according to the valley electricity price range T1 and closing time nodes T2, and set the refrigeration fan start temperature node according to the cold storage temperature t1 and turn off the temperature node t2 ;

[0013] A2: When the start time node is reached T1 Or start the temperature node t1 When the refrigeration fan starts to cool, the phase change energy storage material undergoes phase change to store cold energy;

[0014] A3: If the closing time is reached T2 Or turn off the temperature node t2 When the cooling fan is turned off;

[0015] A4: Monitor the temperature of the cold storage in real time. If the temperature reaches the start point, t1 At this time, the time node is still at T1 to T2 The cooling fan continues to start to provide supplementary cooling until the shutdown temperature node is reached. t2 ;

[0016] A5: In excess of T1 to T2 At time points other than the above, as the temperature of the cold storage gradually rises until it reaches the critical phase change temperature of the phase change material, the phase change material undergoes a phase change, releasing cold energy to maintain the temperature of the cold storage.

[0017] Preferably, the system data stored in the data storage module includes cold storage temperature data, refrigeration fan start and stop data, refrigeration fan power consumption data and electricity price data within each time period.

[0018] Preferably, a time period of the data storage module is one day.

[0019] The beneficial effects of the present invention are embodied in:

[0020] 1. The present invention provides energy storage phase change materials, and can use the energy storage structure to maintain the dimensions of the cold storage during peak electricity charges. During valley times, the air cooler can be directly used for cooling, thereby saving refrigeration electricity charges while ensuring cooling.

[0021] 2. The system of the present invention intelligently switches working modes based on multi-dimensional data such as temperature in the warehouse and real-time electricity price to ensure efficient operation of the cold storage under different conditions.

[0022] 3. The present invention can perform transparent statistical analysis on daily time-sharing electricity usage, electricity cost savings, carbon emission reduction and other data based on the data storage module, support detailed historical records to be reviewed at any time, and help scientific decision-making and cost optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0024] Figure 1 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0025] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0026] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0027] Embodiment 1:

[0028] An intelligent cold storage energy-saving system based on peak-valley electricity price optimization, comprising:

[0029] A refrigeration fan is installed inside the cold storage and consumes valley electricity and converts it into cold air to supply cooling to the cold storage;

[0030] Phase change energy storage material, which absorbs cold energy through material phase change when the refrigeration fan is providing cooling, and releases cold energy through phase change when the peak power refrigeration fan is not working and the cold storage reaches the critical temperature of phase change;

[0031] A controller, which is connected to the cooling fan control and has built-in start and stop logic;

[0032] The data storage module is used to store system data.

[0033] The start and stop logic of the controller adopts a common control logic based on time node control and temperature node control.

[0034] Embodiment 2:

[0035] An intelligent cold storage energy-saving system based on peak-valley electricity price optimization, comprising:

[0036] A refrigeration fan is installed inside the cold storage and consumes valley electricity and converts it into cold air to supply cooling to the cold storage;

[0037] Phase change energy storage material, which absorbs cold energy through material phase change when the refrigeration fan is providing cooling, and releases cold energy through phase change when the peak power refrigeration fan is not working and the cold storage reaches the critical temperature of phase change;

[0038] A controller, which is connected to the cooling fan control and has built-in start and stop logic;

[0039] The data storage module is used to store system data.

[0040] The start and stop logic of the controller adopts a common control logic based on time node control and temperature node control.

[0041] The start-stop logic of the controller includes the following steps:

[0042] A1: Set the start time of the cooling fan according to the valley electricity price range T1 and closing time nodes T2 , and set the refrigeration fan start temperature node according to the cold storage temperature t1 and turn off the temperature node t2 ;

[0043] A2: When the start time node is reached T1 Or start the temperature node t1 When the refrigeration fan starts to cool, the phase change energy storage material undergoes phase change to store cold energy;

[0044] A3: If the closing time is reached T2 Or turn off the temperature node t2 When the cooling fan is turned off;

[0045] A4: Monitor the temperature of the cold storage in real time. If the temperature reaches the start point, t1 At this time, the time node is still at T1 to T2 The cooling fan continues to start to provide supplementary cooling until the shutdown temperature node is reached. t2 ;

[0046] A5: In excess of T1 to T2 At time points other than the above, as the temperature of the cold storage gradually rises until it reaches the critical phase change temperature of the phase change material, the phase change material undergoes a phase change, releasing cold energy to maintain the temperature of the cold storage.

[0047] Embodiment 3:

[0048] An intelligent cold storage energy-saving system based on peak-valley electricity price optimization, comprising:

[0049] A refrigeration fan is installed inside the cold storage and consumes valley electricity and converts it into cold air to supply cooling to the cold storage;

[0050] Phase change energy storage material, which absorbs cold energy through material phase change when the refrigeration fan is providing cooling, and releases cold energy through phase change when the peak power refrigeration fan is not working and the cold storage reaches the critical temperature of phase change;

[0051] A controller, which is connected to the cooling fan control and has built-in start and stop logic;

[0052] The data storage module is used to store system data.

[0053] The start and stop logic of the controller adopts a common control logic based on time node control and temperature node control.

[0054] The start-stop logic of the controller includes the following steps:

[0055] A1: Set the start time of the cooling fan according to the valley electricity price range T1 and closing time nodes T2 , and set the refrigeration fan start temperature node according to the cold storage temperature t1 and turn off the temperature node t2 ;

[0056] A2: When the start time node is reached T1 Or start the temperature node t1 When the refrigeration fan starts to cool, the phase change energy storage material undergoes phase change to store cold energy;

[0057] A3: If the closing time is reached T2 Or turn off the temperature node t2 When the cooling fan is turned off;

[0058] A4: Monitor the temperature of the cold storage in real time. If the temperature reaches the start point, t1 At this time, the time node is still at T1 to T2 The cooling fan continues to start to provide supplementary cooling until the shutdown temperature node is reached. t2 ;

[0059] A5: In excess of T1 to T2 At time points other than the above, as the temperature of the cold storage gradually rises until it reaches the critical phase change temperature of the phase change material, the phase change material undergoes a phase change, releasing cold energy to maintain the temperature of the cold storage.

[0060] The system data stored in the data storage module include cold storage temperature data, refrigeration fan start and stop data, refrigeration fan power consumption data and electricity price data in each time period.

[0061] One time period of the data storage module is one day.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An intelligent cold storage energy-saving system based on peak-valley electricity price optimization, characterized in that: include: A refrigeration fan is installed inside the cold storage and consumes valley electricity and converts it into cold air to supply cooling to the cold storage; Phase change energy storage material, which absorbs cold energy through material phase change when the refrigeration fan is providing cooling, and releases cold energy through phase change when the peak power refrigeration fan is not working and the cold storage reaches the critical temperature of phase change; A controller, which is connected to the cooling fan control and has built-in start and stop logic; The data storage module is used to store system data.

2. According to claim 1, an intelligent cold storage energy-saving system based on peak-valley electricity price optimization is characterized in that: The start and stop logic of the controller adopts a common control logic based on time node control and temperature node control.

3. The intelligent cold storage energy-saving system based on peak-valley electricity price optimization according to claim 2 is characterized in that: The start-stop logic of the controller includes the following steps: A1: Set the start time of the cooling fan according to the valley electricity price range T1 and closing time nodes T2 , and set the refrigeration fan start temperature node according to the cold storage temperature t1 and turn off the temperature node t2 ; A2: When the start time node is reached T1 Or start the temperature node t1 When the refrigeration fan starts to cool, the phase change energy storage material undergoes phase change to store cold energy; A3: If the closing time is reached T2 Or turn off the temperature node t2 When the cooling fan is turned off; A4: Monitor the temperature of the cold storage in real time. If the temperature reaches the start point, t1 At this time, the time node is still at T1 to T2 The cooling fan continues to start to provide supplementary cooling until the shutdown temperature node is reached. t2 ; A5: In excess of T1 to T2 At time points other than the above, as the temperature of the cold storage gradually rises until it reaches the critical phase change temperature of the phase change material, the phase change material undergoes a phase change, releasing cold energy to maintain the temperature of the cold storage.

4. The intelligent cold storage energy-saving system based on peak-valley electricity price optimization according to claim 3 is characterized in that: The system data stored in the data storage module include cold storage temperature data, refrigeration fan start and stop data, refrigeration fan power consumption data and electricity price data in each time period.

5. The intelligent cold storage energy-saving system based on peak-valley electricity price optimization according to claim 4 is characterized in that: One time period of the data storage module is one day.

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