CN112344519B - Debugging and energy-saving control method for heating and refrigerating system - Google Patents
Debugging and energy-saving control method for heating and refrigerating system Download PDFInfo
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- CN112344519B CN112344519B CN202011025632.5A CN202011025632A CN112344519B CN 112344519 B CN112344519 B CN 112344519B CN 202011025632 A CN202011025632 A CN 202011025632A CN 112344519 B CN112344519 B CN 112344519B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The invention discloses a method for debugging and energy-saving control of a heating and refrigerating system, which comprises the following steps: s1: setting the temperature of an air conditioner; s2: adjusting and recording operation parameters of a plurality of devices when the air conditioner is in a plurality of typical working conditions, and detecting the indoor environment temperature for a plurality of times; s3: analyzing and comparing the relation between a plurality of typical working condition operation parameters and the indoor environment temperature to determine optimal setting parameters; s4: adjusting a plurality of typical working conditions of the air conditioner to the optimal setting parameters obtained in the step S3, and recording the ambient temperature of each room; s5: according to requirements, rooms with different temperature grades are correspondingly matched with functional places with different temperature requirements; s6: and obtaining data through testing, determining the energy storage performance of the building, and optimizing the opening and closing modes of the air conditioner according to the energy storage performance and the peak-valley electricity price. The invention saves the time for debugging the air conditioner and improves the working efficiency.
Description
Technical Field
The invention belongs to the technical field of air conditioner control.
Background
An air conditioner, i.e., an air conditioner, is a device that manually adjusts and controls parameters such as temperature, humidity, and flow rate of ambient air in a building or structure. The air conditioner is greatly convenient for people to live, so that people do not need to endure hot summer or cold winter. However, in the practical use of the air conditioner, we find that the conventional air conditioner still has certain disadvantages, for example, the problem of uneven cooling and heating of the air conditioner temperature generally exists in public buildings, especially in tall and big spaces, and in addition, the problem of uneven cooling and heating of the room temperature caused by unbalanced water power also exists, so that not only is the indoor comfort degree affected, but also the energy consumption of an air conditioning system is overlarge, and the waste of resources is caused.
For example, Chinese patent publication numbers are: CN106765910B discloses an energy-saving control method for air conditioner, which includes an indoor heat exchanger, a variable frequency compressor, an outdoor heat exchanger and a throttling device, where multiple indoor heat exchangers are connected in parallel, each indoor heat exchanger is correspondingly provided with at least one indoor fan, multiple outdoor heat exchangers are connected in parallel, each outdoor heat exchanger is correspondingly provided with at least one outdoor fan, and the control method includes: detecting the outdoor environment temperature; adjusting the running frequency of the compressor, the indoor heat exchanger, the indoor fan, the outdoor heat exchanger and the outdoor fan according to the range of the outdoor environment temperature; when the outdoor environment temperature reaches a preset range, detecting the temperature deviation between the indoor environment temperature and the set temperature, and adjusting the running frequency of the compressor, the indoor heat exchanger, the indoor fan, the outdoor heat exchanger and the outdoor fan according to the temperature deviation. By adopting the control method, the control of the air conditioner can be more flexible and convenient, the energy-saving effect of the air conditioner can be more effectively improved, the energy-saving effect of the air conditioner can be effectively improved, the waste of resources is avoided, but the problem of uneven cooling and heating of the air conditioner is not solved, and when the air conditioner is used in public buildings, particularly in tall and big spaces, the comfort level of the air conditioner is still poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for debugging and energy-saving control of a heating and refrigerating system, which can reasonably distribute the cold and hot areas of an air conditioner and effectively improve the energy-saving effect of the work of the air conditioner.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for debugging and energy-saving control of a heating and refrigerating system comprises the following steps:
s1: setting the temperature of an air conditioner;
s2: adjusting and recording the operating parameters of the water supply temperature of the main machine, the water return temperature of the main machine, the frequency of a fan, the frequency of a water pump, the opening of an air valve and the opening of a water valve of the air conditioner under a plurality of typical working conditions, and detecting the indoor environment temperature for a plurality of times according to different working conditions;
s3: analyzing and comparing the relation between a plurality of typical working condition operation parameters and the indoor environment temperature, and determining the optimal setting parameters of the plurality of typical working conditions;
s4: adjusting a plurality of typical working conditions of the air conditioner to the optimal setting parameters obtained in the step S3, recording the ambient temperature of each room, and establishing a sequence from high to low for a plurality of rooms according to the ambient temperature of each room;
s5: according to requirements, rooms with different temperature grades are correspondingly matched with functional places with different temperature requirements;
s6: and obtaining data through testing, determining the energy storage performance of the building, and optimizing the opening and closing modes of the air conditioner according to the energy storage performance and the peak-valley electricity price.
Preferably, the plurality of typical conditions includes outdoor temperatures of 35 ℃, 30 ℃, 25 ℃ in summer and temperatures of-5 ℃, 15 ℃ in winter.
Further, the step S3 further includes the following steps:
s301: analyzing and comparing the relation between the water supply temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relation between the return water temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the fan frequency and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the water pump frequency and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the opening of the air valve and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the opening of the water valve and the indoor environment temperature, and drawing a relation curve;
s302: on the basis of step S301, in the six relation curves, a curve point closest to the set temperature of the air conditioner is selected, and X-axis values corresponding to the curve points are recorded, where the six X-axis values are the optimal setting parameters of a plurality of typical conditions.
Preferably, in steps S4 and S5, the high temperature zone, the medium temperature zone, and the low temperature zone are set according to the ambient temperature of the room.
Preferably, in the step S6,
setting two indexes of excellent and good energy storage performance, setting two indexes of a peak and a valley for electricity price at a local peak valley, and setting the time of opening the air conditioner in advance as A;
when the energy storage performance is excellent and the electricity price is high at peak valley, 1/3A turns on the air conditioner; when the energy storage performance is excellent and the peak-valley electricity price is low, 2/3A turns on the air conditioner; when the energy storage performance is good and the electricity price is high at peak valley, 2/3A turns on the air conditioner; when the energy storage performance is good and the peak-valley electricity price is low, the air conditioner is turned on.
Preferably, the adjusting range of the water supply temperature of the main machine is between 5 and 7 ℃, and the adjusting range of the water return temperature of the main machine is between 10 and 12 ℃.
Compared with the prior art, the technical scheme adopted by the invention has the following beneficial effects:
1. according to the debugging and energy-saving control method, the optimal set parameters are obtained by adjusting the operating parameters of a plurality of typical working conditions such as the water supply temperature of the host, the water return temperature of the host, the frequency of the fan, the frequency of the water pump, the opening degree of the air valve, the opening degree of the water valve and the like, and then a plurality of rooms are divided into the high-temperature area, the medium-temperature area and the low-temperature area according to the optimal set parameters, so that the problem of uneven cooling and heating in public buildings, particularly high and large spaces, is effectively solved, different functional places can be matched according to different temperatures, the use is more convenient, the time for debugging the air conditioner is greatly saved, and the working efficiency is improved.
2. The debugging and energy-saving control method can optimize the opening mode or the closing mode of the air conditioner according to the energy storage performance of the building and the local peak-valley electricity price, ensures effective refrigeration, is more energy-saving and environment-friendly, greatly reduces the resource loss, and effectively improves the energy-saving effect of the air conditioner.
The following detailed description will explain the present invention and its advantages.
Drawings
The invention is further described with reference to the accompanying drawings and the detailed description below:
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments of the present invention, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for debugging and controlling energy saving of a heating and cooling system includes the following steps:
s1: setting the temperature of an air conditioner;
s2: adjusting and recording operation parameters of six typical working conditions such as a host water supply temperature, a host water return temperature, a fan frequency, a water pump frequency, an air valve opening degree and a water valve opening degree, and detecting the indoor environment temperature for multiple times;
six typical conditions correspond to outdoor temperatures of 35 deg.C in summer, 30 deg.C, 25 deg.C, 5 deg.C in winter, and 15 deg.C in winter.
S3: analyzing and comparing the relation between the six typical working condition operation parameters and the indoor environment temperature, and determining the optimal setting parameters of the six typical working conditions;
s4: determining an estimated temperature value of each room through setting parameters of six typical working conditions, and establishing a high-to-low sequence for a plurality of rooms according to the temperature;
s5: according to requirements, rooms with different temperature grades are matched with different functional places;
s6: and obtaining data through testing, determining the energy storage performance of the building, and optimizing the opening or closing mode of the air conditioner according to the energy storage performance and the peak-valley electricity price.
The method steps of the examples are described in further detail below:
in step S1, the air conditioning temperature is set, and in this embodiment, the air conditioning temperatures in the case of 20 ℃, 23 ℃, 25 ℃ and 27 ℃ are set and tested, respectively, and the case when the air conditioning temperature is set at 25 ℃ will be specifically described below.
And step S2, adjusting and recording the operation parameters of six typical working conditions such as the water supply temperature of the host, the water return temperature of the host, the frequency of the fan, the frequency of the water pump, the opening of the air valve, the opening of the water valve and the like, and detecting the indoor environment temperature for many times, wherein the aim is to determine the optimal setting parameters of the six typical working conditions.
Step S3, analyzing and comparing the relationship between the six typical working condition operation parameters and the indoor environment temperature, and determining the optimal setting parameters of the six typical working conditions, wherein the specific determination step comprises the following steps:
analyzing and comparing the relation between the water supply temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relation between the return water temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the fan frequency and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the water pump frequency and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the opening of the air valve and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the opening of the water valve and the indoor environment temperature, and drawing a relation curve;
in the six relation curves, the curve point closest to the set temperature of the air conditioner is selected, and X-axis values corresponding to the curve points are recorded respectively, wherein the six X-axis values are the optimal set parameters of six typical working conditions.
Step S4, determining the estimated temperature value of each room through the setting parameters of six typical working conditions, and establishing the sequence from high to low for a plurality of rooms according to the temperature, wherein the specific determination step comprises:
adjusting six typical working conditions of the air conditioner to optimal set parameters;
the ambient temperature of each room is recorded and the rooms are sorted from high to low according to the temperature.
Step S5, matching rooms with different temperature grades with different function places according to requirements, wherein the specific determination step comprises the following steps:
setting indexes such as a high-temperature area, a medium-temperature area, a low-temperature area and the like according to the ambient temperature of a room;
rooms with different temperature indexes are matched with different functional places, such as a clinic hall of a hospital is matched with a room of a medium-temperature area, an operating room is matched with a room of a low-temperature area, and a nursing room is matched with a room of a high-temperature area.
Step S6, obtaining data through testing, determining the energy storage performance of the building, and optimizing the opening mode of the air conditioner according to the energy storage performance and the peak-valley electricity price, wherein the specific determination step comprises the following steps:
obtaining data through testing, and determining the energy storage performance of the building (specifically, reference can be made to the prior art);
when the air conditioner is started in advance, two excellent indexes are set for the energy storage performance, two indexes of a peak and a valley are set for the electricity price at the peak valley, and the time for opening the air conditioner in advance for refrigeration is set as A;
when the energy storage performance is excellent and the electricity price is high at peak valley, 1/3A turns on the air conditioner; when the energy storage performance is excellent and the peak-valley electricity price is low, 2/3A turns on the air conditioner; when the energy storage performance is good and the electricity price is high at peak valley, 2/3A turns on the air conditioner; when the energy storage performance is good and the peak-valley electricity price is low, the air conditioner is turned on by A, and please refer to the table 1 specifically.
Table 1: starting time optimization table for air conditioner when being started in advance
When the air conditioner is closed in advance, two excellent indexes are set for the energy storage performance, a peak index and a low index are set for the electricity price at the peak valley, and the time for closing the air conditioner in advance for refrigeration is set as B;
when the energy storage performance is excellent and the electricity price is high at peak valley, the 3B turns off the air conditioner; when the energy storage performance is excellent and the peak-valley electricity price is low, the 2B turns off the air conditioner; when the energy storage performance is good and the electricity price is high at peak valley, the 2B turns off the air conditioner; when the energy storage performance is good and the peak-valley electricity price is low, the air conditioner is turned off, specifically referring to table 2.
Table 2: closing time optimization table for air conditioner pre-closing
It is worth mentioning that the adjusting range of the water supply temperature of the main machine is between 5 and 7 ℃, and the adjusting range of the water return temperature of the main machine is between 10 and 12 ℃.
The reason why the adjusting range of the water supply temperature of the main machine is set between 5 ℃ and 7 ℃ is that the secondary side water is cooled by the heat absorption of the refrigerant in the evaporator, and the heat exchange efficiency is influenced by the frosting on the surface of the evaporator caused by the low evaporation temperature, so the evaporation temperature of the refrigerant is kept above 0 ℃. The temperature difference between two sides of the evaporator is generally 3-5 degrees, and a safety margin of 2 degrees is reserved, so the outlet water temperature is controlled between 5-7 degrees.
The reason why the adjusting range of the return water temperature of the main machine is set between 10 ℃ and 12 ℃ is that the optimal economic balance point of the energy consumption of the water pump and the system and the heat exchange efficiency of the tail end equipment can be reached when the water supply temperature is 7 ℃ and the return water temperature is set to 10 ℃ to 12 ℃, namely the temperature difference of the supply water and the return water is about 5 ℃, considering the characteristics of a fan coil and other tail end equipment.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that the invention is not limited thereto, and may be embodied in other forms without departing from the spirit or essential characteristics thereof. Any modification which does not depart from the functional and structural principles of the present invention is intended to be included within the scope of the claims.
Claims (1)
1. A method for debugging and energy-saving control of a heating and refrigerating system is characterized by comprising the following steps: the method comprises the following steps:
s1: setting the temperature of an air conditioner;
s2: adjusting and recording the operating parameters of the water supply temperature of the main machine, the water return temperature of the main machine, the frequency of a fan, the frequency of a water pump, the opening of an air valve and the opening of a water valve of the air conditioner under a plurality of typical working conditions, and detecting the indoor environment temperature for a plurality of times according to different working conditions;
s3: analyzing and comparing the relation between a plurality of typical working condition operation parameters and the indoor environment temperature, and determining the optimal setting parameters of the plurality of typical working conditions;
s4: adjusting a plurality of typical working conditions of the air conditioner to the optimal setting parameters obtained in the step S3, recording the ambient temperature of each room, and establishing a sequence from high to low for a plurality of rooms according to the ambient temperature of each room;
s5: according to requirements, rooms with different temperature grades are correspondingly matched with functional places with different temperature requirements;
s6: obtaining data through testing, determining the energy storage performance of the building, and optimizing the opening and closing modes of the air conditioner according to the energy storage performance and the peak-valley electricity price;
the plurality of typical conditions include outdoor temperature of 35 ℃, 30 ℃, 25 ℃ in summer, and winter-5 ℃, 15 ℃, and the step S3 further includes the steps of:
s301: analyzing and comparing the relation between the water supply temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relation between the return water temperature of the host and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the fan frequency and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the water pump frequency and the indoor environment temperature, and drawing a relation curve; analyzing and comparing the relationship between the opening of the air valve and the indoor environment temperature, and drawing a relationship curve; analyzing and comparing the relation between the opening of the water valve and the indoor environment temperature, and drawing a relation curve;
s302: on the basis of the step S301, selecting a curve point closest to the set temperature of the air conditioner from six relation curves, and recording X-axis values corresponding to the curve points respectively, wherein the six X-axis values are the optimal set parameters of a plurality of typical working conditions;
in the steps S4 and S5, a high temperature area, a medium temperature area and a low temperature area are set according to the ambient temperature of the room, in the step S6, two indexes of high energy storage and good energy storage are set, two indexes of high peak and low valley are set for the electricity price at the peak valley, and the time for opening the air conditioner to cool in advance is set as a; when the energy storage performance is excellent and the electricity price is high at peak valley, 1/3A turns on the air conditioner; when the energy storage performance is excellent and the peak-valley electricity price is low, 2/3A turns on the air conditioner; when the energy storage performance is good and the electricity price is high at peak valley, 2/3A turns on the air conditioner; when the energy storage performance is good and the peak-valley electricity price is low, the air conditioner is turned on, the adjusting range of the water supply temperature of the main machine is 5-7 ℃, and the adjusting range of the water return temperature of the main machine is 10-12 ℃.
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| CN113883688B (en) * | 2021-10-19 | 2023-03-31 | 国网浙江省电力有限公司湖州供电公司 | Central air conditioner control system and method based on demand response |
| CN114216237A (en) * | 2021-11-12 | 2022-03-22 | 青岛海尔空调器有限总公司 | Control method for air conditioner |
| CN114114923B (en) * | 2021-11-26 | 2024-03-26 | 广东美的暖通设备有限公司 | Determination method and determination device for control parameters, compressor system and storage medium |
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