CN111473482A - 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 PDF

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CN111473482A
CN111473482A CN202010269846.0A CN202010269846A CN111473482A CN 111473482 A CN111473482 A CN 111473482A CN 202010269846 A CN202010269846 A CN 202010269846A CN 111473482 A CN111473482 A CN 111473482A
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water
cooling
control
temperature difference
central air
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CN111473482B (en
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蔡小兵
郭林
孙应松
罗庆保
王琪玮
王鹏宇
袁立新
张颖
何波波
张槐义
孙云松
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Guizhou Huitong Huacheng Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement 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

Cooling circulation control device and method for water-cooled central air conditioner
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:
① acquiring unit operation electrical parameters of the water chilling unit, temperature data of the temperature sensor and chilled water flow data of the flow sensor, and acquiring electrical parameters of the cooling pump and the cooling tower;
②, calculating the temperature difference between the two devices, the load factor and the host energy efficiency of the water chilling unit according to the obtained data, and calculating the energy consumption of the refrigeration system in the period;
③, establishing a table, namely establishing a host knowledge table according to the accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
④, 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;
⑤ calculating the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group according to the host knowledge table.
⑥ selecting, comparing the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group, changing the energy consumption data of the front and back 5 groups of refrigeration systems, selecting the control parameter corresponding to the minimum energy consumption of the refrigeration system, and outputting as the optimal control quantity 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.
The step ③ uses a maximum likelihood estimation algorithm to build a host knowledge table.
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:
① acquiring unit operation electrical parameters of the water chilling unit 1, temperature data of the temperature sensor and chilled water flow data of the flow sensor, and acquiring electrical parameters of the cooling pump 6 and the cooling tower 7;
②, 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);
③, establishing a table, namely establishing a host knowledge table according to the accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
④, 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;
⑤ calculating the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group according to the host knowledge table.
⑥ selecting, comparing the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group, 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 parameter corresponding to the minimum value of the energy consumption of the refrigeration system, and outputting as the optimal control quantity 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 1, the cooling pump 6 and the cooling tower 7.
The host knowledge table is built using a maximum likelihood estimation algorithm at step ③.
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)
Figure BDA0002442749140000051
η, 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 condensation temperature (the evaporation temperature of the main machine is not changed generally) will affect the main machine energy efficiency η, and because of the mechanical conversion efficiency, the actual operation energy efficiency of all the coolers is generally calculated according to the equation (2):
Figure BDA0002442749140000052
wherein: q represents the cold output of the cold machine, passing
Figure BDA0002442749140000053
Calculating (wherein F (T) represents the flow rate of the chilled water at the time 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 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 (actually measured by a power detector in an artificial intelligence unit (2)), and because the mechanical conversion efficiency generally cannot reach 100%, the mechanical conversion efficiency is generally ηnow<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
Figure BDA0002442749140000061
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
Figure BDA0002442749140000062
Is proportional, so the following relationship exists:
Figure BDA0002442749140000063
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
Figure BDA0002442749140000064
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 Tcool+ (Condition 1) energy efficiency variation of the refrigeration system.
6-1) calculating Δ TcoolHost power consumption N in case of + N1
6-1-1) calculating the current load factor YkAnd the temperature difference T between the two devicestqIf the current cold amplitude is delta TcoolAfter increasing (the cold amplitude, the increase or decrease of the approximate temperature difference can cause the increase and decrease of the temperature difference of the two devices), the temperature difference of the two devices changes into delta Ttq+ (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) The corresponding host energy efficiency distribution is η1、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) Functional relationship η ═ f can be established1(T), mixing TkSubstituting the equation to obtain η5I.e. η5The 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) Functional relationship η ═ f can be established2(T), mixing TkSubstituting the equation to obtain η6I.e. η6The temperature difference between the two phases is TkThe load factor is Yi+1Corresponding host energy efficiency.
6-1-4) with (Y)i、η5)、(Yi+1、η6) Functional relationship η ═ f can be established3(T), mixing Tkη obtained by substituting equationkI.e. ηkIs 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
Figure BDA0002442749140000081
6-2) calculating Δ tcool+ Water Pump Power consumption P1Available by the following formula (4).
Then there are: m1=f(ΔTcool+)
6-3) calculating Δ TcoolCooling tower power consumption P in the case of +1Since 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; 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 Th+ consumption W of refrigeration system3
8-1) calculating Δ ThHost power consumption N in case of + N3The implementation method is similar to a) in item 7.
8-2) calculating Δ ThCooling water pump power consumption M under + condition3And the cold amplitude is not adjusted.
8-3) calculating Δ ThCooling tower power consumption P in case of +3(ii) a Can be carried into the formula (5)
P=f(ΔTh+T)
8-4) calculating W3Namely: w3=N3+M3+P3
9. Prejudging Delta Th-power consumption W of the refrigeration system of T4(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 (8)

1. The utility model provides a water-cooled central air conditioning cooling cycle controlling means, includes artificial intelligence unit (2), switch board group, temperature sensor, flow sensor, its 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; 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.
2. The cooling circulation control device of 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 cooling circulation control device of water-cooled central air conditioner according to claim 1, wherein: the water chilling unit (1) is a water-cooled central air conditioner.
4. A cooling circulation control method of a water-cooled central air conditioner is characterized in that: the method comprises the following steps:
①, acquiring running electrical parameters of the 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);
②, calculating the temperature difference between two devices, the load factor 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;
③, establishing a table, namely establishing a host knowledge table according to the accumulated data of the temperature difference, the load rate and the host energy efficiency of the two devices;
④, 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;
⑤ calculating the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group according to the host knowledge table.
⑥ selecting, comparing the energy consumption of the refrigeration system corresponding to the control parameter in the pre-adjusted control parameter group, changing the energy consumption data of the front and back 5 groups of refrigeration systems, selecting the control parameter corresponding to the minimum energy consumption of the refrigeration system, and outputting as the optimal control quantity for control.
5. The cooling circulation control device of water-cooled central air conditioner according to claim 4, 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.
6. The cooling circulation control device of water-cooled central air conditioner according to claim 4, wherein: the host knowledge table is a combined table of temperature difference of two devices, load rate and host energy efficiency.
7. The cooling circulation control device of water-cooled central air conditioner according to claim 4, 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).
8. The cooling cycle control device for water-cooled central air conditioner according to claim 4, wherein said step ③ uses the maximum likelihood estimation algorithm to create the host knowledge table.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113237375A (en) * 2021-05-18 2021-08-10 贵州汇通华城股份有限公司 Cooling tower startup and shutdown control method and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040011066A1 (en) * 2002-07-19 2004-01-22 Hitachi Plant Engineering & Construction Co., Ltd. Air conditioning plant and control method thereof
CN201003930Y (en) * 2006-08-31 2008-01-09 王吉一 A cooling tower
JP2011247433A (en) * 2010-05-21 2011-12-08 Hitachi Plant Technologies Ltd Facility and method of producing cold water
CN104613602A (en) * 2015-02-02 2015-05-13 河海大学 Central air conditioner fine control method
CN107166682A (en) * 2017-06-28 2017-09-15 贵州汇通华城股份有限公司 A kind of cold source of air conditioning control system based on intelligent module
CN107314498A (en) * 2017-05-25 2017-11-03 中国农业大学 The efficiency on-line monitoring method and device of a kind of central air conditioner system
CN109595747A (en) * 2018-12-24 2019-04-09 珠海格力电器股份有限公司 The energy simulation method, apparatus of air-conditioning system
CN110631212A (en) * 2019-08-16 2019-12-31 西安建筑科技大学 Energy-saving control method for central air-conditioning cooling water system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040011066A1 (en) * 2002-07-19 2004-01-22 Hitachi Plant Engineering & Construction Co., Ltd. Air conditioning plant and control method thereof
CN201003930Y (en) * 2006-08-31 2008-01-09 王吉一 A cooling tower
JP2011247433A (en) * 2010-05-21 2011-12-08 Hitachi Plant Technologies Ltd Facility and method of producing cold water
CN104613602A (en) * 2015-02-02 2015-05-13 河海大学 Central air conditioner fine control method
CN107314498A (en) * 2017-05-25 2017-11-03 中国农业大学 The efficiency on-line monitoring method and device of a kind of central air conditioner system
CN107166682A (en) * 2017-06-28 2017-09-15 贵州汇通华城股份有限公司 A kind of cold source of air conditioning control system based on intelligent module
CN109595747A (en) * 2018-12-24 2019-04-09 珠海格力电器股份有限公司 The energy simulation method, apparatus of air-conditioning system
CN110631212A (en) * 2019-08-16 2019-12-31 西安建筑科技大学 Energy-saving control method for central air-conditioning cooling water system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113237375A (en) * 2021-05-18 2021-08-10 贵州汇通华城股份有限公司 Cooling tower startup and shutdown control method and system

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