CN111076369A - Dynamic optimization control method for main unit of central air-conditioning system - Google Patents
Dynamic optimization control method for main unit of central air-conditioning system Download PDFInfo
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- CN111076369A CN111076369A CN202010052442.6A CN202010052442A CN111076369A CN 111076369 A CN111076369 A CN 111076369A CN 202010052442 A CN202010052442 A CN 202010052442A CN 111076369 A CN111076369 A CN 111076369A
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- host
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- working condition
- compressor
- fine adjustment
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Classifications
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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
-
- 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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
- F24F11/84—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using valves
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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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
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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
- F24F11/88—Electrical aspects, e.g. circuits
-
- 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
- F24F2140/10—Pressure
- F24F2140/12—Heat-exchange fluid pressure
-
- 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
Abstract
The invention relates to a dynamic optimization control method for a central air-conditioning system host, which comprises the following steps: acquiring and recording working condition parameters of the host at the Xth moment; judging whether the working condition appears for the first time; if so, obtaining an optimal state fine adjustment method through multiple cycles; if not, the adjusting process when the same working condition occurs before is called, or the locked optimal state fine adjusting method is directly used. The invention has reasonable design and convenient implementation, can optimize the control logic of the host of the central air-conditioning system, ensures that the host can carry out dynamic optimization under various working conditions, ensures the operation in an optimal state and creates favorable conditions for energy conservation and emission reduction.
Description
Technical Field
The invention relates to an air conditioner control method, in particular to a control method for a central air conditioning system, and specifically relates to a dynamic optimization control method for a host of the central air conditioning system.
Background
The main energy consumption of the central air conditioning system is the main machine. Thus, energy conservation and emission reduction of the central air conditioning system largely depends on whether the main machine can be operated in an efficient state. At present, although various air conditioning equipment manufacturers invest a great deal of effort to improve the energy efficiency ratio of the main unit, most measures or methods only achieve the achievement aiming at the single working condition of the national standard nominal working condition of the air conditioning system, namely the full load. When the working condition changes, the host is difficult to keep high-efficiency state operation, so that the effects of energy conservation and emission reduction are influenced. Therefore, improvement is urgently needed, so that the central air-conditioning host can efficiently operate under different working conditions, and the energy-saving aim is achieved.
Disclosure of Invention
The invention aims to provide a dynamic optimization control method for a central air-conditioning system host, aiming at the defects existing in the control aspect of the central air-conditioning host at present, which can optimize the control logic of the host, ensure that the host can carry out dynamic optimization under various working conditions, ensure the operation in an optimal state and create favorable conditions for energy conservation and emission reduction.
The technical scheme of the invention is as follows:
a dynamic optimizing control method for a main machine of a central air-conditioning system comprises the following steps:
1) acquiring and recording working condition parameters of the host at the Xth moment;
2) judging whether the working condition appears for the first time: if yes, turning to step 3); otherwise, turning to step 7);
3) the host control system calculates and gives a micro-adjustment instruction through a preset calculation method;
4) after waiting for y time, acquiring and recording the working condition parameters of the host at the X + y moment again, then turning to the step 3), and meanwhile, accumulating the times p;
5) when P = P, go to the next step; otherwise, turning to the step 4);
6) comparing the P +1 group of data to obtain and record optimal parameters and a corresponding optimal state fine adjustment method; meanwhile, the control system gives an instruction and adjusts the running state of the host according to the optimal state fine adjustment method; turning to step 1);
7) if the working condition occurrence frequency is less than M, turning to the step 8); if the working condition occurrence frequency = M, turning to step 9); if the working condition occurrence frequency is larger than M, turning to the step 10);
8) calling an optimal state fine adjustment method when the working condition appears last time to adjust the running state of the host; turning to step 4);
9) calling the optimization records when the previous M times of working conditions appear, comparing the state parameters of the M times of optimization, finding the optimal state point and the corresponding fine adjustment method, and locking and recording the fine adjustment method when the working conditions are optimal; turning to step 1);
10) directly calling the locked optimal state fine adjustment method; turning to step 1).
Further, the host operating status parameters include: the system comprises a compressor, a condenser and an expansion valve, wherein the compressor is used for operating load factor, the compressor suction pressure, the compressor discharge pressure, the compressor suction temperature, the compressor discharge temperature, the discharge superheat degree, the compressor operation current, the evaporator inlet water temperature, the evaporator outlet water temperature, the evaporator water flow, the evaporation temperature, the condenser inlet water temperature, the condenser outlet water temperature, the condenser water flow, the condensation temperature, the liquid.
Further, the fine adjustment method comprises the steps of adjusting the operation load rate of the compressor and adjusting the opening degree of the expansion valve.
The invention has the beneficial effects that:
the invention has reasonable design and convenient implementation, can optimize the control logic of the host, ensures that the host can carry out dynamic optimization under various working conditions, ensures the operation in an optimal state, and creates favorable conditions for energy conservation and emission reduction.
Detailed Description
The present invention will be further described with reference to the following examples.
The invention relates to a dynamic optimization control method for a host of a central air-conditioning system, which comprises the following steps:
1) firstly, acquiring working condition parameters of a certain time point X, such as working condition parameters at 8 am; the working condition parameters comprise: the temperature of inlet and outlet water of an evaporator, the temperature of inlet and outlet water of a condenser, the load factor of a compressor and the like; meanwhile, a database is called and compared with the working condition;
2) if the working condition appears for the first time, turning to the next step; if not, go to step 7);
3) recording and storing the host running state parameters at 8 points in the step 1), calculating by a control system through a preset calculation method according to the host running state parameters at 8 points, and giving a micro-adjustment instruction, wherein if the opening of the expansion valve is 2 percent larger;
4) after waiting for y time, for example, 3 minutes, acquiring the running state parameters of the host at 8 points 03 minutes again, and storing records; meanwhile, according to host operating parameters of 03 points at 8 points, the control system calculates and gives a micro-adjustment instruction through a preset calculation method, and records the accumulated times as 1; then, after waiting for 3 minutes, acquiring the operating state parameters of the host at 8 points and 06 points, meanwhile, calculating and giving a micro-adjustment instruction by the control system through a preset calculation method, and recording the accumulated times as 2; .... cycle through operation;
5) when the accumulated times reach a preset target value P, such as 30 times, stopping circulation to obtain 31 groups of data in total;
6) by comparing the 31 groups of data, finding out the optimal state parameters and the corresponding optimal state fine adjustment method, such as the adjustment method at the time of the highest COP; then, the control system gives out an instruction and adjusts the running state of the host according to the optimal state fine adjustment method;
7) if the working condition does not occur for the first time, judging the relation between the working condition occurrence frequency and a set value M; if the working condition occurrence frequency is less than M, turning to the step 8); if the working condition occurrence frequency = M, turning to step 9); if the working condition occurrence frequency is larger than M, turning to the step 10); for example, the M = 10;
8) calling an optimal state fine adjustment method when the working condition appears last time, and adjusting the running state of the host; namely, if the working condition appears for the 8 th time, calling the optimal state fine adjustment method at the 7 th time; then, repeating steps 4) and 5);
9) and the control system calls the optimization record when the working condition appears for the first 10 times, compares the state parameters of the 10 times of optimization, finds the optimal state point and the corresponding fine adjustment method, and locks and records the fine adjustment method when the working condition is in the optimal state.
10) And if the working condition occurrence frequency is judged to be more than 10 times, directly calling the verified and locked optimal state fine adjustment method.
The host operating state parameters include: the system comprises a compressor, a condenser and an expansion valve, wherein the compressor is used for operating load factor, the compressor suction pressure, the compressor discharge pressure, the compressor suction temperature, the compressor discharge temperature, the discharge superheat degree, the compressor operation current, the evaporator inlet water temperature, the evaporator outlet water temperature, the evaporator water flow, the evaporation temperature, the condenser inlet water temperature, the condenser outlet water temperature, the condenser water flow, the condensation temperature, the liquid.
The fine adjustment method comprises the following steps: adjusting the operation load factor of the compressor and the opening degree of the expansion valve, further adjusting parameters of the compressor such as air suction pressure, air discharge pressure of the compressor, air suction temperature of the compressor, air discharge superheat degree, operation current of the compressor, evaporation temperature, condensation temperature, liquid supply pipe temperature, liquid supply supercooling degree and recording and fine-adjusting methods.
Through the circulation of the control process, the main machine of the central air-conditioning system can be dynamically optimized all the time, the operation in the optimal state is ensured, and favorable conditions are created for energy conservation and emission reduction.
The parts not involved in the present invention are the same as or can be implemented using the prior art.
Claims (3)
1. A dynamic optimization control method for a central air conditioning system host is characterized by comprising the following steps: the method comprises the following steps:
1) acquiring and recording working condition parameters of the host at the Xth moment;
2) judging whether the working condition appears for the first time: if yes, turning to step 3); otherwise, turning to step 7);
3) the host control system calculates and gives a micro-adjustment instruction through a preset calculation method;
4) after waiting for y time, acquiring and recording the working condition parameters of the host at the X + y moment again, then turning to the step 3), and meanwhile, accumulating the times p;
5) when P = P, go to the next step; otherwise, turning to the step 4);
6) comparing the P +1 group of data to obtain and record optimal parameters and a corresponding optimal state fine adjustment method; meanwhile, the control system gives an instruction and adjusts the running state of the host according to the optimal state fine adjustment method; turning to step 1);
7) if the working condition occurrence frequency is less than M, turning to the step 8); if the working condition occurrence frequency = M, turning to step 9); if the working condition occurrence frequency is larger than M, turning to the step 10);
8) calling an optimal state fine adjustment method when the working condition appears last time to adjust the running state of the host; turning to step 4);
9) calling the optimization records when the previous M times of working conditions appear, comparing the state parameters of the M times of optimization, finding the optimal state point and the corresponding fine adjustment method, and locking and recording the fine adjustment method when the working conditions are optimal; turning to step 1);
10) directly calling the locked optimal state fine adjustment method; turning to step 1).
2. The dynamic optimizing control method for a main unit of a central air-conditioning system as claimed in claim 1, wherein: the host operating state parameters include: the system comprises a compressor, a condenser and an expansion valve, wherein the compressor is used for operating load factor, the compressor suction pressure, the compressor discharge pressure, the compressor suction temperature, the compressor discharge temperature, the discharge superheat degree, the compressor operation current, the evaporator inlet water temperature, the evaporator outlet water temperature, the evaporator water flow, the evaporation temperature, the condenser inlet water temperature, the condenser outlet water temperature, the condenser water flow, the condensation temperature, the liquid.
3. The dynamic optimizing control method for a main unit of a central air-conditioning system as claimed in claim 1, wherein: the fine adjustment method comprises the steps of adjusting the operation load rate of the compressor and adjusting the opening degree of the expansion valve.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010052442.6A CN111076369B (en) | 2020-01-17 | 2020-01-17 | Dynamic optimization control method for main unit of central air-conditioning system |
| PCT/CN2020/092947 WO2021143012A1 (en) | 2020-01-17 | 2020-05-28 | Dynamic control optimization method for main unit of central air conditioning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010052442.6A CN111076369B (en) | 2020-01-17 | 2020-01-17 | Dynamic optimization control method for main unit of central air-conditioning system |
Publications (2)
| Publication Number | Publication Date |
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| CN111076369A true CN111076369A (en) | 2020-04-28 |
| CN111076369B CN111076369B (en) | 2021-05-25 |
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| CN202010052442.6A Active CN111076369B (en) | 2020-01-17 | 2020-01-17 | Dynamic optimization control method for main unit of central air-conditioning system |
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| CN (1) | CN111076369B (en) |
| WO (1) | WO2021143012A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111536671A (en) * | 2020-06-04 | 2020-08-14 | 中国工商银行股份有限公司 | Air conditioning system operation control method and device, electronic equipment and storage medium |
| CN111895581A (en) * | 2020-08-05 | 2020-11-06 | 南京天加环境科技有限公司 | Autonomous optimization control method for main unit of central air-conditioning system |
| WO2021143012A1 (en) * | 2020-01-17 | 2021-07-22 | 南京天加环境科技有限公司 | Dynamic control optimization method for main unit of central air conditioning system |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN111076369B (en) | 2021-05-25 |
| WO2021143012A1 (en) | 2021-07-22 |
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