CN111473482B - Cooling circulation control device and method for water-cooled central air conditioner - Google Patents
Cooling circulation control device and method for water-cooled central air conditioner Download PDFInfo
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- CN111473482B CN111473482B CN202010269846.0A CN202010269846A CN111473482B CN 111473482 B CN111473482 B CN 111473482B CN 202010269846 A CN202010269846 A CN 202010269846A CN 111473482 B CN111473482 B CN 111473482B
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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
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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
- F24F11/89—Arrangement or mounting of control or safety devices
Abstract
The invention provides a cooling circulation control device of a water-cooled central air conditioner, which comprises an artificial intelligence unit, a control cabinet group, a temperature sensor and a flow sensor, wherein the artificial intelligence unit is connected with the control cabinet group; the four temperature sensors are respectively arranged on a chilled water inlet, a chilled water outlet, a cooling water inlet and a cooling water outlet pipeline of the water chilling unit, the flow sensor is arranged on the chilled water outlet pipeline of the water chilling unit, and the control cabinet group controls the cooling pump, the cooling tower and the chilled water pump on the pipeline of the water chilling unit. The invention also provides a cooling circulation control method of the water-cooled central air conditioner. The invention can provide powerful basis for the control of the next control period in each control period by establishing the host knowledge table, and can effectively lead the energy efficiency EERr of the refrigeration system to approach the optimum through the control mode of traversing and optimizing each period and continuously iterating and adjusting.
Description
Technical Field
The invention relates to a cooling circulation control device and method for a water-cooled central air conditioner.
Background
The technological equipment of water-cooled central air-conditioning cooling circulation system (refrigeration system for short) includes water-cooled machine set, cooling water pump and cooling tower; the refrigeration system is an important component of the central air-conditioning system, and the energy consumption accounts for about 70% of the energy consumption of the air-conditioning system, so the energy-saving control of the refrigeration system has great significance for the energy conservation of the whole air-conditioning system. The traditional cooling circulation control generally adopts constant temperature control and constant temperature difference control; however, no matter the temperature control or the temperature difference control is performed, the energy consumption of the equipment is considered in a unilateral way, the lowest comprehensive energy consumption of a water-cooled unit, a cooling water pump and a cooling tower is not considered, the optimal energy efficiency ratio of the refrigeration system cannot be realized, and the economic operation of the system cannot be realized.
Disclosure of Invention
In order to solve the technical problems, the invention provides a cooling circulation control device and a cooling circulation control method for a water-cooled central air conditioner.
The invention is realized by the following technical scheme.
The invention provides a cooling circulation control method of a water-cooled central air conditioner, which is characterized in that: the method comprises the following steps:
collecting: acquiring unit operation electrical parameters of a water chilling unit, temperature data of a temperature sensor and chilled water flow data of a flow sensor, and acquiring electrical parameters of a cooling pump and a cooling tower;
calculating: calculating the temperature difference between the two devices, the load rate and the host energy efficiency of the water chilling unit according to the acquired data, and calculating the energy consumption of the refrigeration system in the period;
thirdly, building a table: establishing a host knowledge table according to accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
adjusting: adjusting two control parameters of approach temperature difference and cold amplitude, and adjusting the control parameters from four directions of approach temperature difference increase, approach temperature difference decrease, cold amplitude increase and cold amplitude decrease to obtain a pre-adjustment control parameter set;
calculating the following steps: and calculating the energy consumption of the refrigeration system corresponding to the control parameters in the pre-adjustment control parameter group according to the host knowledge table.
Selecting: and comparing the calculated energy consumption of the refrigeration system corresponding to the control parameters in the pre-adjustment control parameter group, changing the energy consumption data of the front and rear 5 groups of refrigeration systems, and selecting the control parameter corresponding to the minimum energy consumption of the refrigeration system as the optimal control quantity to output for control.
The cold amplitude refers to the temperature difference between the outlet and the inlet of the cooling water; the approaching temperature difference is the temperature difference between the tower outlet temperature of the cooling tower and the wet bulb temperature.
The host knowledge table is a combined table of temperature difference of two devices, load rate and host energy efficiency.
The energy consumption of the refrigeration system is the total energy consumption of the water chilling unit, the cooling pump and the cooling tower.
And step three, establishing a host knowledge table by adopting a maximum likelihood estimation algorithm.
The invention has the beneficial effects that: through the mode of establishing the host knowledge table, powerful basis can be provided for the control of the next control period in each control period, and through the control mode of traversing and optimizing each period so as to continuously iterate and adjust, the energy efficiency EERr of the refrigeration system can be effectively close to the optimum.
Drawings
Fig. 1 is a schematic diagram of the connection of the present invention.
In the figure: 1-a water chilling unit, 2-an artificial intelligence unit, 3-a cooling water pump frequency conversion cabinet, 4-a cooling tower frequency conversion cabinet, 5-a meteorological station, 6-a cooling pump, 7-a cooling tower and 8-a freezing water pump.
Detailed Description
The technical solution of the present invention is further described below, but the scope of the claimed invention is not limited to the described.
The cooling circulation control device of the water-cooled central air conditioner shown in fig. 1 comprises an artificial intelligence unit 2, a control cabinet group, a temperature sensor and a flow sensor; the system comprises four temperature sensors, a flow sensor, a control cabinet group, an artificial intelligence unit 2 and a control cabinet group, wherein the four temperature sensors are respectively arranged on a chilled water inlet, a chilled water outlet, a cooling water inlet and a cooling water outlet pipeline of a water chilling unit 1, the flow sensor is arranged on the chilled water outlet pipeline of the water chilling unit 1, the control cabinet group controls a cooling pump 6, a cooling tower 7 and a chilled water pump 8 on the pipeline of the water chilling unit 1, and the artificial intelligence unit 2 is in communication connection with the water chilling unit 1, the control cabinet group, the temperature; and the artificial intelligence unit 2 reads data from the water chilling unit 1, the temperature sensor and the flow sensor in each control period, and outputs control quantity to the water chilling unit 1 and the control cabinet unit to realize control.
The control cabinet group includes cooling water pump frequency conversion cabinet 3, cooling tower frequency conversion cabinet 4, meteorological station 5, and 3 communication connection in meteorological station 5 of cooling water pump frequency conversion cabinet, cooling pump 6 on the cooling water outlet pipeline of 3 connection control water chilling unit of cooling water pump frequency conversion cabinet, cooling tower 7 on the cooling water inlet pipeline of 4 connection control cooling tower frequency conversion cabinets 1.
The water chilling unit 1 is a water-cooled central air conditioner.
Based on the above, the present invention provides a cooling circulation control method for a water-cooled central air conditioner, which is characterized in that: the method comprises the following steps:
collecting: acquiring unit operation electrical parameters of a water chilling unit 1, temperature data of a temperature sensor and chilled water flow data of a flow sensor, and acquiring electrical parameters of a cooling pump 6 and a cooling tower 7;
calculating: calculating the temperature difference between the two devices, the load factor and the host energy efficiency of the water chilling unit 1 according to the obtained data, and calculating the energy consumption of the refrigeration system in the period (the host energy consumption, the cooling water pump energy consumption and the cooling tower energy consumption in the period);
thirdly, building a table: establishing a host knowledge table according to accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
adjusting: adjusting two control parameters of approach temperature difference and cold amplitude, and adjusting the control parameters from four directions of approach temperature difference increase, approach temperature difference decrease, cold amplitude increase and cold amplitude decrease to obtain a pre-adjustment control parameter set;
calculating the following steps: and calculating the energy consumption of the refrigeration system corresponding to the control parameters in the pre-adjustment control parameter group according to the host knowledge table.
Selecting: and according to the energy consumption of the refrigeration system corresponding to the control parameters in the calculated pre-adjustment control parameter group, comparing, changing the energy consumption data of the front and back 5 groups (5 groups including unadjusted group, approximate temperature difference increasing group, approximate temperature difference decreasing group, cold amplitude increasing group and cold amplitude decreasing group) of refrigeration systems, selecting the control parameters corresponding to the minimum value of the energy consumption of the refrigeration system, and outputting as the optimal control quantity to control.
The cold amplitude refers to the temperature difference between the outlet and the inlet of the cooling water; the approaching temperature difference is the temperature difference between the tower outlet temperature of the cooling tower and the wet bulb temperature.
The host knowledge table is a combined table of temperature difference of two devices, load rate and host energy efficiency.
The energy consumption of the refrigeration system is the total energy consumption of the water chilling unit 1, the cooling pump 6 and the cooling tower 7.
And step three, establishing a host knowledge table by adopting a maximum likelihood estimation algorithm.
The working principle of the invention is roughly as follows:
1. the theoretical mechanical efficiency of the chiller, obtainable from the reverse Carnot cycle, is calculated as in equation (1)
Eta: representing the energy efficiency of the host;
Tc: represents the cold machine condensation temperature;
Ts: indicating the cold machine evaporation temperature;
Tc-Ts: showing the temperature difference between the condenser and the evaporator (often called the temperature difference between the two devices, hereinafter referred to as T)tq)。
As can be seen from the equation (1), adjusting the condensing temperature (the evaporating temperature of the main engine is generally not changed) will affect the energy efficiency η of the main engine; due to the existence of mechanical conversion efficiency, the actual operation energy efficiency of all the cold machines is generally calculated according to the formula (2):
wherein: q represents the cold output of the cold machine, passing
Calculating (wherein F (T) represents the flow rate of the chilled water at the time of T, and the flow rate is actually measured by a chilled water flow sensor F, T (T) represents the temperature difference between the return water and the supply water of the chilled water at the time of T, and the temperature difference is actually measured by a temperature sensor T3 and a temperature sensor T4, and N represents the power consumption of the refrigerator (the actual measurement is carried out by a power detector in the artificial intelligence unit (2)); since the mechanical conversion efficiency generally cannot reach 100%, η is usuallynow＜η。
2. The operation parameters of the host machine are collected in real time (including the temperature of the cooling water inlet and outlet of the host machine, the temperature of the supply and return water of the chilled water, the flow rate of the chilled water, electrical parameters and the like), calculated and analyzed to obtain a knowledge table, namely 'temperature difference between two machines-load rate-energy efficiency'.
Table 1: host computer knowledge table
3. The instantaneous thermal power due to the cooling water can be calculated by the following equation.
Qs＝k1LQ×ΔTcool×GLQ (3)
Wherein: qsRepresenting instantaneous thermal power; delta TcoolShows a temperature difference (cold width for short) at the inlet and outlet of cooling water, GLQIndicates cooling water flow rate; k is a radical of1LQRepresenting a constant.
The flow G is known according to the similar law of a pump and a fan in a short time (assuming that the resistance and the load of a pipeline do not change)LQProportional relation with the rotating speed n of the freezing water pump, and the rotating speed n and the energy consumption of the water pump
Is proportional, so the following relationship exists:
within an evolution period, the end load and the outdoor wet bulb temperature are relatively stable, the instantaneous heat is also relatively stable, and delta T can be obtainedcoolAnd
in inverse proportion; k is a radical of2LQRepresents a constant; the running power M and the cold amplitude delta T of the water pump can be obtainedcoolThere is a certain functional relationship, namely:
M＝f(ΔTcool) (4)
4. known from the heat dissipation performance of the cooling tower, under the condition that the heat dissipation capacity and the wet bulb temperature are not changed, the temperature difference delta T is approached as the air quantity (corresponding to the rotating speed n) or the frequency of a fan of the cooling tower is largerhThe smaller the power P and the approximate temperature difference Delta T of the cooling tower can be obtainedhThere is a functional relationship, namely:
P＝f(ΔTh) (5)
5. counting the total energy consumption of the refrigeration system in the current evolution period as W (W ═ N + M + P) wherein: the power consumption of the water-cooled unit is N, the power consumption of the cooling water pump is M, and the power consumption of the cooling tower is P; and collecting the cold amplitude delta T of the current evolution periodcoolAnd approach temperature difference Δ Th。
6. Prejudging Delta TcoolThe energy efficiency of the refrigeration system of + δ Γ (condition 1) varies.
6-1) calculating Δ TcoolHost power consumption N in case of + δ Γ1：
6-1-1) calculating the current load factor YkAnd the temperature difference T between the two devicestqIf the current cold amplitude is delta TcoolAfter delta gamma is increased (the cold amplitude and the increase or decrease of the approach temperature difference can cause the increase and decrease of the temperature difference of the two devices), the temperature difference of the two devices is changed into delta Ttq+ δ Γ (denoted as T)k) (ii) a If Y isk∈(Yi、Yi+1)、Tk∈(Tj、Tj+1) From the look-up table 1, (Y)i、Tj)、(Yi、Tj+1)、(Yi+1、Tj)、(Yi+1、Tj+1) Corresponding host energy efficiency distribution is eta1、η2、η3、η4And η1、η2、η3、η4Are not equal to each other.
| Tj | Tj+1 | |
| Yi | η1 | η2 |
| Yi+1 | η3 | η4 |
6-1-2) by point (T)j、η1)、(Tj+1、η2) The functional relation eta is f1(T), mixing TkSubstituting the equation to obtain η5I.e. eta5The temperature difference between the two phases is TkThe load factor is YiCorresponding host energy efficiency.
6-1-3) by point (T)j、η3)、(Tj+1、η4) The functional relation eta is f2(T), mixing TkSubstituting the equation to obtain η6I.e. eta6The temperature difference between the two phases is TkThe load factor is Yi+1Corresponding masterEnergy efficiency.
6-1-4) with (Y)i、η5)、(Yi+1、η6) The functional relation eta is f3(T), mixing TkEta obtained by substituting equationkI.e. etakIs a temperature difference T between the two deviceskThe load factor is YiCorresponding host energy efficiency.
6-1-5) host in (Y)k、Tk) Host power consumption N under working condition1Is composed of
6-2) calculating Δ tcoolWater pump power consumption P under + delta gamma condition1Available by the following formula (4).
Then there are: m1＝f(ΔTcool+δΓ)
6-3) calculating Δ TcoolPower consumption P of cooling tower in case of + δ Γ1Since the temperature difference is approached without adjustment, the power consumption of the cooling tower is unchanged, and P is available1＝P。
6-4) calculating W1Namely: w1＝N1+M1+P1。
7. Prejudging Delta Tcool-the power consumption of the refrigeration system of δ Γ; the implementation method is similar to the above, and the power consumption of the refrigeration system under the working condition is recorded as W2。
8. Prejudging Delta ThPower consumption W of the refrigeration system of + δ Γ +3；
8-1) calculating Δ ThHost power consumption N in case of + δ Γ3The implementation method is similar to a) in item 7.
8-2) calculating Δ ThCooling water pump power consumption M under + delta gamma condition3And the cold amplitude is not adjusted.
8-3) calculating Δ ThCooling tower power consumption P in case of + δ Γ3(ii) a Can be carried into the formula (5)
P＝f(ΔTh+δT)
8-4) calculating W3Namely: w3＝N3+M3+P3。
9. Prejudging Delta Th-delta T of the power consumption W of the refrigeration system4(ii) a The implementation method is similar to the above, and the power consumption of the refrigeration system under the working condition is recorded as W4。
10. Find array { W, W1、W2、W3、W4And the minimum value, the cold amplitude and the approximate temperature difference corresponding to the minimum value are the adjustment target values of the next evolution period.
11. And adjusting the running frequency of the cooling water pump according to the cold amplitude adjustment target value to enable the actual cold amplitude to be consistent with the target cold amplitude.
12. And adjusting the operating frequency of the fan of the cooling tower according to the approximate temperature difference adjusting target value to make the actual approximate temperature difference consistent with the target approximate temperature difference.
13. And repeating the process for continuous iteration, so that the energy efficiency EERr of the refrigeration system approaches to the optimum.
Claims (7)
1. A control method of a cooling circulation control device of a water-cooled central air conditioner comprises an artificial intelligence unit (2), a control cabinet group, a temperature sensor and a flow sensor, and is characterized in that: the system comprises four temperature sensors, a flow sensor, a control cabinet group, an artificial intelligence unit (2) and a flow sensor, wherein the four temperature sensors are respectively arranged on a chilled water inlet, a chilled water outlet, a cooling water inlet and a cooling water outlet pipeline of a water chilling unit (1), the flow sensor is arranged on a chilled water outlet pipeline of the water chilling unit (1), the control cabinet group controls a cooling pump (6), a cooling tower (7) and a chilled water pump (8) on the pipeline of the water chilling unit (1), and the artificial intelligence unit (2) is in communication connection with the water chilling unit (1), the control cabinet group, the temperature sensors; the artificial intelligence unit (2) reads data from the water chilling unit (1), the temperature sensor and the flow sensor in each control period, and outputs control quantity to the water chilling unit (1) and the control cabinet unit to realize control;
the control method comprises the following steps:
collecting: acquiring running electrical parameters of a water chilling unit (1), temperature data of a temperature sensor and chilled water flow data of a flow sensor, and acquiring electrical parameters of a cooling pump (6) and a cooling tower (7);
calculating: calculating the temperature difference between the two devices, the load rate and the host energy efficiency of the water chilling unit (1) according to the acquired data, and calculating the energy consumption of the refrigeration system in the period;
thirdly, building a table: establishing a host knowledge table according to accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
adjusting: adjusting two control parameters of approach temperature difference and cold amplitude, and adjusting the control parameters from four directions of approach temperature difference increase, approach temperature difference decrease, cold amplitude increase and cold amplitude decrease to obtain a pre-adjustment control parameter set;
calculating the following steps: calculating the energy consumption of the refrigeration system corresponding to the control parameters in the pre-adjustment control parameter group according to the host knowledge table;
selecting: and comparing the calculated energy consumption of the refrigeration system corresponding to the control parameters in the pre-adjustment control parameter group, changing the energy consumption data of the front and rear 5 groups of refrigeration systems, and selecting the control parameter corresponding to the minimum energy consumption of the refrigeration system as the optimal control quantity to output for control.
2. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: the control cabinet set comprises a cooling water pump frequency conversion cabinet (3), a cooling tower frequency conversion cabinet (4) and a meteorological station (5), wherein the cooling water pump frequency conversion cabinet (3) is in communication connection with the meteorological station (5), the cooling water pump frequency conversion cabinet (3) is in connection with a cooling water outlet pipeline of a control water cooling unit, and the cooling tower (7) is in connection with a cooling water inlet pipeline of the control water cooling unit (1) of the cooling tower frequency conversion cabinet (4).
3. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: the water chilling unit (1) is a water-cooled central air conditioner.
4. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: the cold amplitude refers to the temperature difference between the outlet and the inlet of the cooling water; the approaching temperature difference is the temperature difference between the tower outlet temperature of the cooling tower and the wet bulb temperature.
5. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: the host knowledge table is a combined table of temperature difference of two devices, load rate and host energy efficiency.
6. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: the energy consumption of the refrigeration system is the total energy consumption of the water chilling unit (1), the cooling pump (6) and the cooling tower (7).
7. The control method of the cooling cycle control device of the water-cooled central air conditioner according to claim 1, wherein: and step three, establishing a host knowledge table by adopting a maximum likelihood estimation algorithm.
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