CN111237995A - Control method of air conditioner cooler - Google Patents
Control method of air conditioner cooler Download PDFInfo
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- CN111237995A CN111237995A CN202010047791.9A CN202010047791A CN111237995A CN 111237995 A CN111237995 A CN 111237995A CN 202010047791 A CN202010047791 A CN 202010047791A CN 111237995 A CN111237995 A CN 111237995A
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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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- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/20—Heat-exchange fluid temperature
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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
Abstract
The invention discloses a control method of an air conditioner cold machine, which comprises the following steps of firstly, obtaining a predicted working condition parameter; then, calculating a current working calendar according to the predicted working condition parameters, wherein the current working calendar comprises the total refrigerating amount required to be completed by all the refrigerators and the running time corresponding to the total refrigerating amount, and the total refrigerating amount in the current working calendar is taken as the target refrigerating amount; and finally, matching the cold machines with the target cold quantity, and controlling the running of each matched cold machine. The control method of the air conditioner refrigerator calculates the total refrigerating amount required by the whole air conditioning system according to the predicted working condition parameters, controls the refrigerator to finish the total refrigerating amount according to the current working calendar, and presets the control process in advance, so that the refrigerator does not need to be controlled by a feedback signal, the influence of lag of the feedback signal is avoided, and the comfort degree of a user is improved.
Description
Technical Field
The invention relates to the technical field of air-conditioning equipment, in particular to a control method of an air-conditioning cooler.
Background
Most of current air conditioning systems are controlled in a feedback mode, and the load of the system is adjusted based on the return water temperature of a user side. However, the refrigerating water system of the air conditioner is huge, the temperature change has large hysteresis, and the condition of load dynamic change in the operation process of the air conditioner cannot be timely and accurately reflected, so that the feedback control strategy of the cold water cooler fails.
Therefore, how to provide hysteresis for avoiding temperature variation to influence cold machine control is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention aims to provide a control method of an air conditioner cooler, which obtains the current working calendar of the cooler through calculation of a prediction model, thereby eliminating the influence caused by the temperature control hysteresis of a chilled water system.
In order to achieve the above object, the present invention provides a control method for an air conditioner chiller, comprising:
obtaining a predicted working condition parameter;
calculating a current working calendar according to the predicted working condition parameters, wherein the current working calendar comprises the total refrigerating amount required to be completed by all refrigerators and the running time corresponding to the total refrigerating amount, and the total refrigerating amount in the current working calendar is taken as the target refrigerating amount;
and matching the cold machines with the target cold quantity, and controlling the running of each matched cold machine.
Preferably, after the operation of each of the chillers after the control matching, the method further includes:
obtaining working condition parameters of the day after a preset time;
updating the current working calendar according to the working condition parameters of the current day;
and re-entering the step of matching the cold machine with the target cold quantity.
Preferably, the calculating a current working calendar of the refrigerator according to the predicted working condition parameters includes:
obtaining the lag time of refrigeration;
and substituting the lag time length into a prediction model, and calculating the running time corresponding to the total cooling amount.
Preferably, after the operation of each of the chillers after the control matching, the method further includes:
acquiring a feedback parameter;
comparing the feedback parameters with the current working calendar and obtaining a comparison result;
if the comparison result is larger than a first preset range, calculating the total amount of refrigeration required to be supplied by all the refrigerators under the feedback parameters;
and taking the total refrigerating amount under the feedback parameter as the target refrigerating capacity, and re-entering the step of matching the refrigerating machine with the target refrigerating capacity.
Preferably, before obtaining the feedback parameter, the method includes:
acquiring a historical working calendar;
determining an unstable period when each cold machine is started according to the historical working calendar of the cold machine;
and after the operation of the cold machine passes the unstable period, the step of obtaining the current feedback parameters is started.
Preferably, the matching the refrigerator and the target cooling capacity includes:
acquiring a performance curve of each cooler;
determining the optimal working interval of each cold machine according to the performance curve, and matching the optimal working interval with the target cold quantity to obtain a plurality of cold machine alternative groups meeting the target cold quantity requirement;
calculating the energy consumption of each cold machine standby selection group according to a total assembly energy consumption model;
and selecting the cold machine standby selection group which meets the limiting conditions and has the minimum energy consumption as a cold machine running group.
Preferably, the obtaining a performance curve of each of the chillers includes:
acquiring historical operating parameters of each cooler;
and calculating a corresponding performance curve of the refrigerator according to the historical operating parameters.
Preferably, the total assembly energy consumption model comprises an operation energy consumption unit used for calculating operation energy consumption of each cold machine and a start-stop energy consumption unit used for calculating start-stop energy consumption of each cold machine.
Preferably, the total assembly energy consumption model further comprises an efficiency parameter;
before calculating the energy consumption of each cold machine alternative group according to a total assembly energy consumption model, obtaining the operating efficiency of a cooling tower and/or a chilled water pump;
and determining the efficiency parameter according to the operation efficiency.
Preferably, the selecting the chiller alternative group which meets the limiting condition and has the minimum energy consumption as a chiller running group includes:
obtaining the operating parameters of each cold machine;
and selecting the cold machine standby group with the least start-stop times and the least energy consumption as a cold machine running group.
The control method of the air conditioner cold machine provided by the invention comprises the following steps of firstly, obtaining a predicted working condition parameter; then, calculating a current working calendar according to the predicted working condition parameters, wherein the current working calendar comprises the total refrigerating amount required to be completed by all the refrigerators and the running time corresponding to the total refrigerating amount, and the total refrigerating amount in the current working calendar is taken as the target refrigerating amount; and finally, matching the cold machines with the target cold quantity, and controlling the running of each matched cold machine.
The control method of the air conditioner refrigerator calculates the total refrigerating amount required by the whole air conditioning system according to the predicted working condition parameters, controls the refrigerator to finish the total refrigerating amount according to the current working calendar, and presets the control process in advance, so that the refrigerator does not need to be controlled by a feedback signal, the influence of lag of the feedback signal is avoided, and the comfort degree of a user is improved.
In addition, the method and the device match the cold machine with the target cold quantity by referring to factors such as the performance curve of the cold machine, the efficiency of auxiliary equipment, the starting and stopping times of the cold machine and the like, and achieve the purposes of reducing the energy consumption of the central air conditioner, avoiding frequent starting and stopping of the cold machine and prolonging the service life of the cold machine.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an embodiment of a method for controlling an air conditioner chiller according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for controlling an air conditioner chiller according to an embodiment of the present invention.
The control method of the air conditioner cold machine provided by the invention is mainly used for controlling the central air conditioner. A central air conditioner generally includes a chiller, a cooling water system for exchanging heat with a condenser of the chiller, and a chilled water/hot water system for exchanging heat with an evaporator of the chiller. When the central air conditioner is used for refrigerating or heating, the refrigerating machine is required to provide refrigerating capacity to finish refrigerating and heating, so that the main parameter controlled by the central air conditioner control system is the refrigerating total amount of the refrigerating machine, and the control method provided by the invention is mainly used for controlling the refrigerating total amount of the refrigerating machine and specifically comprises the following steps:
s1, obtaining a predicted working condition parameter;
the predicted working condition parameters may specifically include parameters such as the historical outside temperature, the current day temperature provided by the weather forecast, and the target temperature, and the prediction model takes the historical outside temperature or the current day temperature provided by the weather forecast as the ambient temperature, and then calculates the total amount of refrigeration according to the target temperature and the ambient temperature. In one embodiment of the present application, the current day air temperature provided based on the weather forecast is matched to the ambient temperature of the history closest to the current day air temperature, and the history is used as the predicted ambient temperature.
S2, calculating the current working calendar of the refrigerator according to the predicted working condition parameters, wherein the current working calendar comprises the total refrigerating amount required to be completed by all the refrigerators and the running time corresponding to the total refrigerating amount, and the total refrigerating amount in the current working calendar is taken as the target refrigerating amount;
specifically, the prediction model can obtain a predicted cold load curve through calculation of the ambient temperature and the target temperature, and further determine the total refrigeration amount required to be completed by the refrigerator at different moments. The method for calculating the refrigerating capacity and setting the chilled water temperature according to the ambient temperature and the target temperature can refer to the prior art and is not described herein.
The current working calendar, in particular the central air conditioner, is a graph of the amount of cooling that needs to be performed during a working cycle with respect to time, and therefore, the current working calendar generally includes the amount of cooling and the time corresponding thereto. One duty cycle of a central air conditioner is typically one day. And (3) a curve of the change of the ambient temperature with respect to time needs to be brought into the prediction model, and then a curve of the change of the total refrigerating quantity with respect to time is calculated. And then the total refrigerating amount is taken as the target refrigerating capacity. Of course, in the prior art, the control is mainly performed through the supply water temperature and the return water temperature of the chilled water, so that the supply water temperature and the return water temperature of the chilled water, the circulation amount of the chilled water and the like can be determined according to the total amount of refrigeration.
Specifically, the change relationship between the ambient temperature and the time can be brought into the prediction model for calculation in the calculation process. It should be noted that the environmental temperature includes not only the outdoor environmental temperature but also the indoor environmental temperature, and the total amount of refrigeration is calculated by the prediction model according to the difference between the indoor and outdoor environmental temperatures and by combining the parameters such as the heat dissipation rate of the building.
And S3, matching the cold machines and the target cold quantity, and controlling the running of the matched cold machines.
And calculating to obtain a current working calendar, namely a curve of the total refrigerating amount with respect to time change, and controlling the operation of the refrigerator by taking the total refrigerating amount as a target refrigerating amount. The central air conditioner usually comprises a plurality of coolers, the power of each cooler is not completely the same, the target cooling capacity and the coolers need to be matched for completing the target cooling capacity, and the total energy consumption of the central air conditioner is reduced on the basis of meeting the requirement of the target cooling capacity in the matching process. Thus, the chillers are generally selected according to the rated powers, and the sum of the rated powers of the selected chillers is the minimum rated power sum that satisfies the target cooling capacity.
And after matching is completed, obtaining the corresponding relation between the start and stop of the cold machine and the time. And then controlling the start and stop of each cold machine according to the corresponding relation.
In the embodiment, the control method of the air conditioner cooler predicts the curve of the total refrigerating amount of the cooler with respect to the time change according to the curve of the ambient temperature with respect to the time change, and then matches the cooler with the total refrigerating amount as the target refrigerating amount.
Optionally, the ambient temperature variation condition in the working period of the central air conditioner may be different from the predicted ambient temperature variation condition, and in order to improve the accuracy of temperature control, the current working calendar needs to be adjusted according to the actual temperature variation condition. Specifically, after controlling the operation of each matched refrigerator, the method further includes:
obtaining working condition parameters of the day after a preset time;
the working condition parameters of the day comprise indoor and outdoor ambient temperatures, the working condition of the refrigerator and the like. In a specific embodiment of the present application, the preset time is 2 hours, that is, the working condition parameter of one side of the device on the same day is obtained every 2 hours, and of course, the user may set the length of the preset time as required, which is not limited herein.
Updating the current working calendar according to the working condition parameters of the current day;
after the working condition parameters of the current day are obtained, the working condition parameters of the current day can be matched with the historical working condition parameters, the working condition of the working day closest to the working condition parameters of the current day is selected, the environmental temperature of the current day is brought into the prediction model, and the current working calendar is updated.
And re-entering the step of matching the cold machine with the target cold quantity.
And after the working calendar is updated, the new total refrigerating amount is used as the target refrigerating capacity, the cold machine is matched again, and the matching process still follows the refrigerating capacity supply and demand matching principle.
In addition, because the temperature of the chilled water/hot water system is regulated to have hysteresis, in order to improve the comfort of a user, the hysteresis time length needs to be calculated into the current working calendar. Specifically, calculating the current working calendar of the refrigerator according to the current prediction model includes:
obtaining the lag time of refrigeration;
the lag time of the refrigeration can be determined by the difference between the time of sending the temperature adjusting signal and the time of the change of the temperature of the outlet water of the chilled water.
The lag time is substituted into the prediction model and the running time corresponding to the total amount of cooling is calculated.
And after the lag time is obtained, modifying the current working calendar according to the lag time, and when the cold machine needs to be started and stopped, advancing the starting and stopping time by a certain time length, wherein the time length is generally equal to the lag time.
In this embodiment, the control process is updated again according to the working condition parameters of the day after every preset time interval, so that the control strategy is prevented from being invalid due to the fact that the difference between the predicted environment temperature and the actual environment temperature is too large. In addition, the control process also determines the start-stop time of the refrigerator according to the lag time of the chilled water/hot water system, so that the lag of temperature regulation caused by the lag of the chilled water/hot water system is avoided, and the accuracy of temperature regulation and the comfort of users are further improved.
In order to further improve the accuracy of the temperature adjustment, in one embodiment of the present application, the control method further includes feedback control. Specifically, after controlling the operation of each matched refrigerator, the method further includes:
acquiring a feedback parameter;
the feedback parameters comprise current indoor temperature or water supply temperature and return water temperature of chilled water and the like, and the control system can measure the feedback parameters through a temperature sensor and the like.
Comparing the feedback parameters with the current working calendar and obtaining a comparison result;
specifically, comparing the feedback parameter with the current working calendar refers to comparing the temperature difference between the indoor temperature and the target temperature, the temperature difference between the chilled water temperature and the chilled water set temperature, and the supply and return water temperature difference of the chilled water, wherein the comparison result is a specific numerical value of the three temperature differences, and the current operating condition of the central air conditioner can be judged according to the comparison result.
If the comparison result is larger than the first preset range, calculating the total refrigerating amount required to be completed by all the refrigerators under the feedback parameters;
the temperature difference of the indoor temperature and the target temperature, the temperature difference of the chilled water temperature and the chilled water set temperature, and the supply and return water temperature difference of the chilled water are controlled within a first preset range, wherein the temperature difference of the indoor temperature and the target temperature is a main control parameter of the application. The reason why the temperature difference between the indoor temperature and the target temperature is too large may be insufficient refrigerating capacity of the refrigerator, insufficient circulating capacity of chilled water, insufficient power of the fan, or the like, and the reason may be judged according to the comparison result. The user may determine the first preset range according to the actual working condition of the central air conditioner, which is not limited herein.
Specifically, if the temperature difference between the supply water temperature and the return water temperature of the chilled water and the set temperature is too large, the refrigerating capacity of the refrigerator is usually insufficient. At this time, the total amount of cooling required to be completed by all the coolers can be recalculated based on the temperature difference between the indoor temperature and the target temperature. If the temperature difference between the supply water temperature and the return water temperature of the chilled water is too small, the refrigerating capacity is too high, and unnecessary waste is caused. And the size of redundant refrigerating capacity can be calculated according to the temperature difference between the water supply temperature and the water return temperature of the chilled water, so that the total refrigerating amount required to be finished by all the refrigerators is determined. However, if the temperature difference between the supply water temperature and the return water temperature of the chilled water is too large, the circulation amount of the chilled water is often insufficient.
And taking the total refrigerating amount under the feedback parameter as the target refrigerating capacity, and re-entering the step of matching the refrigerating machine with the target refrigerating capacity.
When the refrigerating capacity of the refrigerator is too large or too small, the total refrigerating capacity can be recalculated according to the feedback parameters, and the total refrigerating capacity is taken as the target refrigerating capacity, and the refrigerating capacity of the refrigerator and the target refrigerating capacity are matched again. And if the comparison result shows that the circulation volume of the chilled water is insufficient, controlling the starting of the chilled water pump to increase the circulation volume of the chilled water.
Further, when the operation state is unstable for a certain period of time immediately after the start of the equipment such as the chiller, the chilled water pump, and the cooling water pump, the operation state for the period of time needs to be discharged to the outside when the feedback control is performed. Thus obtaining feedback parameters including:
acquiring all running states of the current day;
determining an unstable period when each cold machine is started according to a historical working calendar of the cold machine;
specifically, the unstable time period is a time period in which the fluctuation of the refrigeration temperature is large when the refrigerator is started, the unstable time period can be judged according to the temperature of the chilled water after heat exchange with the evaporator, and the time period from the start of the refrigerator to the time when the temperature of the chilled water is stabilized within a certain range is the unstable time period.
And selecting the running state after the unstable period as a feedback parameter.
And when the feedback adjustment is carried out, selecting the running state after the unstable period as a feedback parameter.
Furthermore, if the working condition fluctuation is large on the day, the cold machine needs to be adjusted in time to ensure the timely control of the indoor temperature, and the comfort degree of the user is ensured. Therefore, after comparing the feedback parameter with the current working calendar and obtaining the comparison result, the method may further include:
and if the comparison result is larger than the second preset range, updating the preset time according to the comparison result.
The second preset range is usually a temperature range affecting the comfort of the human body, and the user can set the temperature range according to the needs. If the temperature difference between the indoor temperature and the target temperature is larger than the second preset range, the control of the refrigerator is not timely, so that the preset time needs to be adjusted, and the updating frequency of the current working calendar is increased. Specifically, the user may establish a functional relationship of the comparison result with the preset time, and update the preset duration according to the functional relationship.
In this embodiment, the control method of the air conditioner chiller further includes feedback control, forming feedback according to the feedback parameter, and further controlling the operation of the air conditioner chiller according to a comparison result between the feedback parameter and the current working calendar, so as to further improve accuracy of temperature adjustment. In addition, the preset time is updated according to the comparison result, so that the updating frequency of the current working calendar is improved, and the accuracy of temperature control is improved.
The ambient temperature in one day usually changes greatly, so the target cold quantity in one day also has a large difference, and the target cold quantity needs to be matched with the cold machine for many times. The cold machine of matching and target cold volume still includes:
acquiring a performance curve of each cooler;
the performance of the refrigerator can be changed, so that the performance curve of the cold record is calculated according to the historical operating parameters of the refrigerator. Specifically, the historical operating parameters of each chiller can be obtained first, and then the performance curve of the corresponding chiller is calculated according to the historical operating parameters in the latest operating cycle, and the calculation method can refer to the prior art. The latest operation period can be one week or one month, and can be selected according to the needs of the user.
Determining the optimal working interval of each cold machine according to the performance curve, and matching the optimal working interval with the target cold quantity to obtain a plurality of cold machine alternative groups meeting the target cold quantity requirement;
the efficiency of the operation of the coolers under different powers is different, so that the optimal working interval with the highest efficiency of the coolers can be determined after the performance curves of the coolers are obtained. When the cold machines are matched with the target cold quantity, the powers of a plurality of cold machines are added, when the total power meets the target cold quantity, a cold machine alternative group can be determined, and the steps are repeated to obtain a plurality of cold machine alternative groups in a matching mode.
And after the cold machine alternative group meeting the target cold quantity is obtained through matching, the optimal cold machine alternative group is required to be selected as the cold machine operation group.
Optionally, calculating the energy consumption of each alternative cold machine group according to the total assembly energy consumption model;
specifically, the final assembly energy consumption model may include an operation energy consumption unit and a start-stop energy consumption unit, where the operation energy consumption unit is used to calculate operation energy consumption of each cold machine, and the start-stop energy consumption unit is used to calculate energy consumption of each cold machine during start-stop. The energy consumption of the cold machine is calculated through the operation energy consumption unit and the start-stop energy consumption unit, so that the operation energy consumption of the cold machine can be taken into account, and the start-stop energy consumption of the cold machine can also be taken into account. And further, when the running group of the cold machine is selected, the phenomenon that the energy consumption of the central air conditioner is overlarge due to frequent starting and stopping of the cold machine can be avoided.
In addition, chiller energy consumption is also affected by chiller efficiency and the efficiency of the auxiliary equipment, so the total assembly energy consumption model also includes efficiency parameters.
Optionally, before calculating the energy consumption of each alternative cold machine group according to the total assembly energy consumption model, the method further includes:
and acquiring the operating efficiency of the cooling tower and/or the chilled water pump, and determining an efficiency parameter according to the operating efficiency.
The operation efficiency of the cooling tower and the chilled water pump can be determined according to the historical working condition of the central air conditioner, and the efficiency parameters can be obtained by multiplying the operation efficiency of the cooling tower and the chilled water pump and the efficiency of the cold machine.
And finally, selecting the cold machine standby selection group which meets the limiting conditions and has the minimum energy consumption as a cold machine running group. The specific selection process comprises the following steps:
obtaining the operation parameters of each cooler;
the operation parameters may include the operation time length and the number of starts of the chiller. And recording the starting time of the cold machine when the cold machine is started, and obtaining the running time of each cold machine by subtracting the starting time of each cold machine from the time required to be switched when the cold machine is required to be switched. And when each cold machine is started once, the control system records the starting and stopping times once, and further obtains the starting and stopping times of each cold machine on the day.
And selecting the cold machine operation group with the minimum energy consumption in the cold machine standby group with the minimum start-stop times. Before selecting a cold machine operation group, the requirements of low energy consumption and avoiding the frequent start and stop of a single cold machine are firstly required to be met. Therefore, the cold machine standby set with the least number of start-stop times is preferentially selected as the cold machine running set.
In the embodiment, when the cold machines and the target cold quantity are matched, the scheme selection is limited according to the running time length and the starting and stopping times of the cold machines, the cold machines with the running time length exceeding the preset time length and the starting and stopping times being less are selected from the multiple alternative cold machines to be switched, so that the starting and stopping times of the cold machines are more average, and the damage of the cold machines due to frequent starting and stopping is avoided.
It is noted that, in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity from another entity without necessarily requiring or implying any actual such relationship or order between such entities.
The control method of the air conditioner cold machine provided by the invention is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A control method of an air conditioner cooler is characterized by comprising the following steps:
obtaining a predicted working condition parameter; calculating a current working calendar according to the predicted working condition parameters, wherein the current working calendar comprises the total refrigerating amount required to be completed by all refrigerators and the running time corresponding to the total refrigerating amount, and the total refrigerating amount in the current working calendar is taken as the target refrigerating amount;
and matching the cold machines with the target cold quantity, and controlling the running of each matched cold machine.
2. The control method according to claim 1, wherein after controlling each of the matched coolers to operate, the method further comprises:
obtaining working condition parameters of the day after a preset time;
updating the current working calendar according to the working condition parameters of the current day;
and re-entering the step of matching the cold machine with the target cold quantity.
3. The control method according to claim 1, wherein the calculating the current working calendar of the refrigerator according to the predicted working condition parameters comprises the following steps:
obtaining the lag time of refrigeration;
and substituting the lag time length into a prediction model, and calculating the running time corresponding to the total cooling amount.
4. The control method according to claim 1, wherein after controlling each of the matched coolers to operate, the method further comprises:
acquiring a feedback parameter;
comparing the feedback parameters with the current working calendar and obtaining a comparison result;
if the comparison result is larger than a first preset range, calculating the total amount of refrigeration required to be supplied by all the refrigerators under the feedback parameters;
and taking the total refrigerating amount under the feedback parameter as the target refrigerating capacity, and re-entering the step of matching the refrigerating machine with the target refrigerating capacity.
5. The control method according to claim 4, wherein before obtaining the feedback parameter, the method further comprises:
acquiring a historical working calendar;
determining an unstable period when each cold machine is started according to the historical working calendar of the cold machine;
and after the operation of the cold machine passes the unstable period, the step of obtaining the current feedback parameters is started.
6. The control method according to any one of claims 1 to 5, wherein the matching the chiller and the target cooling capacity includes:
acquiring a performance curve of each cooler;
determining the optimal working interval of each cold machine according to the performance curve, and matching the optimal working interval with the target cold quantity to obtain a plurality of cold machine alternative groups meeting the target cold quantity requirement;
calculating the energy consumption of each cold machine standby selection group according to a total assembly energy consumption model;
and selecting the cold machine standby selection group which meets the limiting conditions and has the minimum energy consumption as a cold machine running group.
7. The control method according to claim 6, wherein the obtaining of the performance curve of each of the coolers includes:
acquiring historical operating parameters of each cooler;
and calculating a corresponding performance curve of the refrigerator according to the historical operating parameters.
8. The control method according to claim 6, wherein the total assembly energy consumption model comprises an operation energy consumption unit for calculating each cold machine operation energy consumption and a start-stop energy consumption unit for calculating each start-stop energy consumption.
9. The control method of claim 8, wherein the aggregate energy consumption model further comprises an efficiency parameter;
before calculating the energy consumption of each cold machine alternative group according to the total assembly energy consumption model, the method further comprises the following steps:
obtaining the operation efficiency of a cooling tower and/or a chilled water pump;
and determining the efficiency parameter according to the operation efficiency.
10. The control method according to claim 6, wherein the selecting the chiller alternative group which satisfies the limiting condition and has the minimum energy consumption as a chiller operation group comprises:
obtaining the operating parameters of each cold machine;
and selecting the cold machine standby group with the least start-stop times and the least energy consumption as a cold machine running group.
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