阅读说明：本技术 冷机站性能预测系统和方法 (System and method for predicting performance of cold machine station ) 是由 袁圆 阳丽娜 王加龙 丁金磊 于 2018-07-16 设计创作，主要内容包括：本发明涉及一种冷机站性能预测系统和方法。冷机站性能预测方法包括：获取冷冻水回路中进入第一冷机的冷冻水温度ECHWT；获取所述冷冻水回路中离开所述第一冷机的冷冻水温度LCHWT；获取经过所述第一冷机的冷冻水流量F1；获取冷却水回路中离开所述第一冷机的冷却水温度LCWT；获取所述第一冷机功率P1；以及基于获得的数据COP,Q<Sub>1e</Sub>,LCHWT和LCWT来训练与变量COP,Q<Sub>1e</Sub>,LCHWT和LCWT相关的第一冷机性能模型:并且,基于所述第一冷机性能模型来预测所述第一冷机的性能。根据本发明的冷机站性能预测系统和方法准确性高,可用于优化冷机站的控制策略和冷机站改造。(The invention relates to a system and a method for predicting performance of a cold machine station. The method for predicting the performance of the cold machine station comprises the following steps: acquiring the temperature ECHWT of chilled water entering a first cooler in a chilled water loop; acquiring the temperature LCHWT of the chilled water leaving the first chiller in the chilled water circuit; acquiring the flow F1 of the chilled water passing through the first cooler; obtaining the temperature LCWT of cooling water leaving the first cooler in a cooling water circuit; acquiring the power P1 of the first cooler; and COP, Q based on the data obtained 1e LCHWT and LCWT to train and vary COP, Q 1e A first chiller performance model associated with the LCHWT and the LCWT, and predicting performance of the first chiller based on the first chiller performance model. The system and the method for predicting the performance of the cold machine station have high accuracy and can be used for optimizing the control strategy of the cold machine station and reconstructing the cold machine station.)

1. A cold station performance prediction system comprising:

a sensor device, comprising:

a first temperature sensor for measuring the temperature ECHWT of the chilled water entering the first chiller in the chilled water circuit;

a second temperature sensor that measures a chilled water temperature, LCHWT, in the chilled water loop exiting the first chiller;

measuring the total flow F of chilled water in the chilled water circuit or the flow F of chilled water passing through the first chiller₁The flow meter of (1);

a third temperature sensor measuring a cooling water temperature, LCWT, in the cooling water circuit leaving the first chiller;

measuring the power P of the first cooler₁The first power meter of (1); and

a controller in communication with the sensor device, the controller estimating chilled water flow F through the first chiller based on total chilled water flow F₁Or directly obtaining the flow F of the chilled water passing through the first cooler₁；

The controller is according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eWherein c is the specific heat of water and is according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

and the controller is internally provided with a variable COP, Q_1eFirst cold machine performance models relating to LCHWT and LCWT:

COP＝f(Q_1e，LCHWT，LCWT)

and the controller is based on the obtained data COP, Q_1eLCHWT and LCWT to train the first cold machine performance model;

and the controller predicts the performance of the first chiller based on the first chiller performance model.

2. The chiller performance prediction system of claim 1, wherein the first chiller performance model is further related to a rated load Q of the first chiller_1rAnd (4) correlating.

3. The chiller performance prediction system of claim 1, characterized in that the sensor arrangement comprises:

a second power meter measuring a first cooling tower fan power P2 in the cooling water circuit; and is

The controller also acquires SPD data of the rotating speed of the fan of the first cooling tower;

the controller is internally provided with a variable P₂First cooling tower fan power model associated with SPD:

P₂＝f(SPD)

and the controller is based on the obtained data P₂And an SPD to train the first cooling tower fan power model;

and the controller predicts performance of the first cooling tower fan based on the cooling tower fan power model.

4. The chiller performance prediction system of claim 3, wherein the first cooling tower fan power model is further based on a first cooling tower fan rated maximum speed SPD_rAnd the rated maximum power P of the fan of the first cooling tower_2rAnd (4) correlating.

5. The chiller performance prediction system of claim 3 wherein the first cooling tower fan power model is:

wherein:

and the controller passes the obtained data P₂Training coefficient b with SPD₁，b₂And b₃The numerical value of (c).

6. The chiller performance prediction system of claim 1, characterized in that the sensor arrangement comprises:

measuring chilled water pressure pump power P in chilled water loop₃The third power meter of (1); and is

The controller also obtains the working flow Q of the chilled water pressure pump_opAnd the rotating speed n of the chilled water pressure pump;

the controller is internally provided with a variable P₃、Q_opAnd n, a chilled water pressure pump power model:

P₃＝f(Q_op，n)

and the controller is based on the obtained data P₃、Q_opAnd n to train the chilled water pressure pump power model;

and the controller predicts the performance of the chilled water pressure pump based on the chilled water pressure pump power model.

7. The chiller performance prediction system of claim 6 wherein the chilled water pressure pump power model is further compared to a chilled water pressure pump design rated flow Q_desAnd rated power P of chilled water pressure pump_desAnd (4) correlating.

8. The chiller performance prediction system of claim 6 where the chilled water pressure pump power model is:

wherein:

R_MFR＝Q_op/Q_des

and the controller is based on the obtained data P₃、Q_opAnd n to train the coefficient a₁，a₂，a₃，a₄，a₅And a₆The numerical value of (c).

9. The chiller performance prediction system of claim 1,

the controller also acquires the environmental temperature, water flow, fan air volume and inlet water temperature data of the first cooling tower;

the controller is also internally provided with an effective heat transfer unit quantity model epsilon-NTU related to the environmental temperature, water flow, fan air volume and inlet water temperature data of the first cooling tower;

the controller is further used for training the effective heat transfer unit quantity model based on the obtained ambient temperature, water flow, fan air volume and inlet water temperature data of the first cooling tower;

and the controller predicts the first cooling tower outlet water temperature according to the model of the effective number of heat transfer units.

10. The chiller performance prediction system of claim 1 wherein the chiller station comprises n branches in parallel and n chillers distributed on the n branches;

the controller obtains n different total loads Q under a certain working condition_jChilled water temperature ECHWT entering each chiller_ijAnd the chilled water temperature, LCHWT, leaving each chiller_ijAnd calculating the temperature difference delta T of inlet and outlet water of each cooler_ij＝ECHWT_ij-LCHWT_ijAnd i represents the ith cold machine, and 1, 2.. n can be taken, and j represents the jth total load Q_jN, 1, 2.. can be taken;

the controller passes the equation:

(Q₁+x₁)/c＝F₁·ΔT₁₁+F₂·ΔT₂₁+…F_n·ΔT_n1

(Q₂+x₁)/c＝F₁·ΔT₁₂+F₂·ΔT₂₂+…F_n·ΔT_n2

…

(Q_n+x₁)/c＝F₁·ΔT_1n+F₂·ΔT_2n+…F_n·ΔT_nn

to find the freezing of the ith refrigerator in the working conditionWater flow rate F_iWherein x is₁To compensate for the parameters.

11. A cold machine station performance prediction method comprises the following steps:

acquiring the temperature ECHWT of chilled water entering a first cooler in a chilled water loop;

acquiring the temperature LCHWT of the chilled water leaving the first chiller in the chilled water circuit;

obtaining total flow F of chilled water in the chilled water circuit, and estimating flow F of chilled water passing through the first chiller based on the total flow F of chilled water₁Or directly obtaining the flow F of the chilled water passing through the first cooler₁；

Obtaining the temperature LCWT of cooling water leaving the first cooler in a cooling water circuit;

obtaining the power P of the first cooler₁(ii) a And

according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eWherein c is the specific heat of water and is according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

and, based on the obtained data COP, Q_1e，LCHWT and LCWT to train and vary COP, Q_1eFirst cold machine performance models relating to LCHWT and LCWT:

COP＝f(Q_1e，LCHWT，LCWT)

and predicting the performance of the first chiller based on the first chiller performance model.

12. The method of claim 11 wherein the first chiller performance model is further related to a rated load Q of the first chiller_1rAnd (4) correlating.

13. The method of claim 11, wherein the method comprises:

obtaining the power P of the first cooling tower fan in the cooling water loop₂；

Acquiring SPD data of the rotating speed of a fan of a first cooling tower;

based on the obtained data P₂And SPD to train with variable P₂First cooling tower fan power model associated with SPD:

P₂＝f(SPD)

and predicting performance of the first cooling tower fan based on the first cooling tower fan power model.

14. The method of claim 13, wherein the first cooling tower fan power model is further associated with a first cooling tower fan rated maximum Speed (SPD)_rAnd the rated maximum power P of the fan of the first cooling tower_2rAnd (4) correlating.

15. The method of claim 13, wherein the first cooling tower fan power model is:

wherein:

the method comprises obtaining data P₂Training coefficient b with SPD₁，b₂And b₃The numerical value of (c).

16. The method of claim 11, wherein the method comprises:

obtaining the power P of the chilled water pressure pump in the chilled water loop₃；

Obtaining the working flow Q of the chilled water pressure pump_opAnd the rotating speed n of the chilled water pressure pump:

based on the obtained data P₃、Q_opN to train and vary P₃、Q_opAnd n, a chilled water pressure pump power model:

P₃＝f(Q_op，n)

and predicting the performance of the chilled water pressure pump based on the chilled water pressure pump power model.

17. The method of claim 16, wherein the chilled water pressure pump power model is further compared to a chilled water pressure pump design rated flow rate Q_desAnd rated power P of chilled water pressure pump_desAnd (4) correlating.

18. The method of claim 16, wherein the pressure pump power model is:

wherein:

R_MFR＝Q_op/Q_des

the method comprises obtaining data P based on₃、Q_opAnd n to train the coefficient a₁，a₂，a₃，a₄，a₅And a₆The numerical value of (c).

19. The method of claim 11, wherein the method comprises:

acquiring data of the ambient temperature, the water flow, the fan air volume and the inlet water temperature of the first cooling tower;

training an effective heat transfer unit quantity model epsilon-NTU related to the ambient temperature, the water flow, the fan air volume and the inlet water temperature data of the first cooling tower based on the obtained ambient temperature, the water flow, the fan air volume and the inlet water temperature data of the first cooling tower; and

predicting the first cooling tower exit water temperature according to the model of the effective number of heat transfer units.

20. The method of claim 11,

the cold machine station comprises n branches connected in parallel and n cold machines distributed on the n branches;

the method comprises the following steps:

obtaining n different total loads Q under a certain working condition_jChilled water temperature ECHWT entering each chiller_ijAnd the chilled water temperature, LCHWT, leaving each chiller_ijAnd calculating the temperature difference delta T of inlet and outlet water of each cooler_ij＝ECHWT_ij-LCHWT_ijAnd i represents the ith cold machine, and 1, 2.. n can be taken, and j represents the jth total load Q_jN, 1, 2.. can be taken;

the method includes, by the equation:

(Q₁+x₁)/c＝F₁·ΔT₁₁+F₂·ΔT₂₁+…F_n·ΔT_n1

(Q₂+x₁)/c＝F₁·ΔT₁₂+F₂·ΔT₂₂+…F_n·ΔT_n2

…

(Q_n+x₁)/c＝F₁·ΔT_1n+F₂·ΔT_2n+…F_n·ΔT_nn

to find the flow rate F of the chilled water passing through the ith cooler in the working condition_iWherein x is₁To compensate for the parameters.

21. The method according to claim 11, characterized in that the cooling water circuit of the chiller station comprises m branches connected in parallel and m cooling towers distributed on the m branches;

the method comprises the following steps:

obtaining m different total loads q under a certain working condition_jNext, the cooling water temperature ECTWT entering each cooling tower_ijAnd the cooling water temperature LCTWT leaving each cooling tower_ijAnd calculating m different total loads g under the working condition_jEach cooling downTemperature difference between inlet and outlet water of tower

Δt_ij＝ECTWT_ij-LCTWT_ij，

Wherein i represents the ith cooling tower, and 1, 2.. m can be taken,

j represents the j-th total load q_j1, 2.. m can be taken;

the method includes, by the equation:

(q₁+x₂)/c＝f₁·Δt₁₁+f₂·Δt₂₁+…f_m·Δt_m1

(q₂+x₂)/c＝f₁·Δt₁₂+f₂·Δt₂₂+…f_m·Δt_m2

…

(q_m+x₂)/c＝f₁·Δt_1m+f₂·Δt_2m+…f_m·Δt_mm

to determine the flow f of cooling water through each cooling tower in said operating mode_iWherein x is₂To compensate for the parameters.

Technical Field

The present invention relates to the field of chiller stations, and more particularly to the field of performance recording and prediction of devices in chiller stations.

Background

For a chiller station, after many years of operation, the performance of the chiller, cooling tower and pump therein will deviate from the initial design performance, such as increased power consumption. During the operation process of the cold machine station working for years, the actual operation conditions of the devices need to be known, so that an optimal control strategy is configured. On the other hand, if the cold machine station needs to be modified, the current actual operation condition of the equipment in the cold machine station also needs to be grasped.

Disclosure of Invention

It is an object of the present invention to solve or at least alleviate problems in the prior art;

the invention aims to train a model capable of reflecting the real behavior of the cold machine station according to the historical operating parameters of the cold machine station;

the invention aims to optimize the control strategy of the cold machine station by using the model;

the invention aims to predict the behaviors of the cold machine station under the new working condition which does not occur historically, such as energy consumption and the like, by utilizing the model, so as to evaluate the transformation scheme of the cold machine station;

the invention also aims to optimize the model to improve the accuracy of the prediction;

it is also an object of the present invention to estimate the flow through each chiller station or cooling tower based on the total flow.

In one aspect, a cold machine station performance prediction system is provided, including:

a sensor device in communication with a controller, comprising:

a first temperature sensor for measuring the temperature ECHWT of the chilled water entering the first chiller in the chilled water circuit;

a second temperature sensor that measures a chilled water temperature, LCHWT, in the chilled water loop exiting the first chiller;

measuring the total flow F of chilled water in the chilled water circuit or the flow F of chilled water passing through the first chiller₁The flow meter of (1);

a third temperature sensor measuring a cooling water temperature, LCWT, in the cooling water circuit leaving the first chiller;

measuring the first cold workRate P₁The first power meter of (1); and

a controller estimating a flow rate F of chilled water passing through the first chiller based on a total flow rate F of chilled water₁Or directly obtaining the flow F of the chilled water passing through the first cooler₁；

The controller is according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eAnd according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

and the controller is internally provided with a variable COP, Q_1eFirst cold machine performance models relating to LCHWT and LCWT:

COP＝f(Q_1e，LCHWT，LCWT)

and the controller is based on the obtained data COP, Q_1eLCHWT and LCWT to train the first cold machine performance model;

and the controller predicts the performance of the first chiller based on the first chiller performance model.

On the other hand, the invention also provides a cold machine station performance prediction method, which comprises the following steps:

acquiring the temperature ECHWT of chilled water entering a first cooler in a chilled water loop;

acquiring the temperature LCHWT of the chilled water leaving the first chiller in the chilled water circuit;

acquiring total flow F of chilled water in the chilled water circuit, and estimating flow F1 of chilled water passing through the first cooler or directly acquiring flow F1 of chilled water passing through the first cooler based on the total flow F of chilled water;

obtaining the temperature LCWT of cooling water leaving the first cooler in a cooling water circuit;

acquiring the power P1 of the first cooler; and

according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eAnd according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

and, based on the obtained data COP, Q_1eLCHWT and LCWT to train and vary COP, Q_1eFirst cold machine performance models relating to LCHWT and LCWT:

COP＝f(Q_1e，LCHWT，LCWT)

and predicting the performance of the first chiller based on the first chiller performance model.

In another aspect, a method of estimating chilled water flow Fi through an i-th chiller in a chiller station is provided, the chiller station including n branches connected in parallel and n chillers distributed on the n branches;

the method comprises the following steps:

obtaining n different total loads Q under a certain working condition_jChilled water temperature ECHWT entering each chiller_ijAnd the chilled water temperature, LCHWT, leaving each chiller_ijAnd calculating the temperature difference delta T of inlet and outlet water of each cooler_ij＝ECHWT_ij-LCHWT_ijAnd i represents the ith cold machine, and 1, 2.. n can be taken, and j represents the jth total load Q_jN, 1, 2.. can be taken;

the method includes, by the equation:

(Q₁+x₁)/c＝F₁·ΔT₁₁+F₂·ΔT₂₁+…F_n·ΔT_n1

(Q₂+x₁)/c＝F₁·ΔT₁₂+F₂·ΔT₂₂+…F_n·ΔT_n2

…

(Q_n+x₁)/c＝F₁·ΔT_1n+F₂·ΔT_2n+…F_n·ΔT_nn

and calculating the flow rate Fi of the chilled water passing through the ith cooler in the working condition.

On the other hand, a method for estimating the flow fi of cooling water passing through the ith cooling tower in the chiller station is provided, wherein a cooling water loop of the chiller station comprises m branches connected in parallel and m cooling towers distributed on the m branches;

the method comprises the following steps:

obtaining m different total loads q under a certain working condition_jLower part

Cooling water temperature ECTWT entering each cooling tower_ijAnd the cooling water temperature LCTWT leaving each cooling tower_ijAnd calculating m different total loads q under the working condition_jTemperature difference delta t of inlet water and outlet water of each lower cooling tower_ij＝ECTWT_ij-LCTWT_ij，

Wherein i represents the ith cooling tower, and 1, 2.. m can be taken,

j represents the j-th total load q_j1, 2.. m can be taken;

the method includes, by the equation:

(q₁+x₂)/c＝f₁·Δt₁₁+.f₂·Δt₂₁+…f_m·Δt_m1

(q₂+x₂)/c＝f₁·Δt₁₂+.f₂·Δt₂₂+…f_m·Δt_m2

…

(q_m+x₂)/c＝f₁·Δt_1m+f₂·Δt_2m+…f_m·Δt_mm

to find the flow fi of cooling water through each cooling tower in said operating condition.

The system and the method for predicting the performance of the cold machine station have high accuracy and can be used for optimizing the control strategy of the cold machine station and reconstructing the cold machine station.

Drawings

The disclosure of the present invention will become more readily understood with reference to the accompanying drawings. As is readily understood by those skilled in the art: these drawings are for illustrative purposes only and are not intended to constitute a limitation on the scope of the present invention. Moreover, in the drawings, like numerals are used to indicate like parts, and in which:

FIG. 1 shows a schematic block diagram of a cold machine station according to one embodiment; and

fig. 2 shows a schematic structural diagram of a cold machine station according to another embodiment.

Detailed Description

It is easily understood that according to the technical solution of the present invention, a person skilled in the art can propose various alternative structures and implementation ways without changing the spirit of the present invention. Therefore, the following detailed description and the accompanying drawings are merely illustrative of the technical aspects of the present invention, and should not be construed as all of the present invention or as limitations or limitations on the technical aspects of the present invention.

The terms of orientation of up, down, left, right, front, back, top, bottom, and the like referred to or may be referred to in this specification are defined relative to the configuration shown in the drawings, and are relative terms, and thus may be changed correspondingly according to the position and the use state of the device. Therefore, these and other directional terms should not be construed as limiting terms.

Fig. 1 shows a schematic structural diagram of a cold machine station according to an embodiment. The chiller station mainly comprises a chiller 1, a chilled water circuit 2 and a cooling water circuit 3. The frozen water and the cooling water exchange heat in the refrigerator 1. A load 9 and a chilled water pressure pump 61 are included in the chilled water circuit 2. A cooling tower 8 and a cooling water pressure pump 62 are included in the cooling water circuit 3, cooling water is radiated at the cooling tower 8, and a plurality of fans are included in the cooling tower 8 to radiate heat in the cooling water to the surroundings. The performance of the individual devices of this type of cold-machine station will change after a long period of use, deviating from the nominal data.

In order to accurately grasp the actual performance of each device so as to implement an optimal control strategy or be used for cold machine station transformation, maintenance and the like, the invention provides a cold machine station performance prediction system, which comprises: a sensor device in communication with the controller and a controller. The sensor device collects relevant data and provides the data to the controller, the controller is internally provided with a model related to the data, the controller trains parameters in the relevant model through continuously collected and updated data, and accordingly predicts corresponding changes of other data when part of the data is changed so as to master the actual/real performance of the equipment, and the real performance data can be used for providing an optimized control strategy or predicting the behavior of the equipment under the non-working condition, such as energy consumption, and can be used as a reference when the cold machine station is modified.

In an embodiment of the present invention, the sensor device may include: a first temperature sensor 41 that measures the temperature ECHWT of the chilled water entering the first chiller 1 in the chilled water 2 circuit; a second temperature sensor 42 that measures the chilled water temperature, LCHWT, in the chilled water circuit 2 leaving the first chiller 1; measuring the total flow F of chilled water in the chilled water circuit or the flow F of chilled water passing through the first chiller 1₁Is measured (in the embodiment of fig. 1, since only the first chiller 1 is included, the total flow rate F of chilled water is equal to the flow rate F of chilled water through the first chiller 1₁) (ii) a A third temperature sensor 43 which measures the temperature of the cooling water LCWT leaving the first chiller in the cooling water circuit 3; measuring the power P of the first cooler₁The first power meter 51. In alternative embodiments, the sensor device may include more elements to collect more data.

The controller is connected to the collection units to obtain the data. Specifically, the controller may obtain a flow rate F of chilled water passing through the first chiller₁Or estimating the flow F of chilled water passing through the first chiller based on the total flow F of chilled water₁；

The controller is according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eWherein c is the specific heat of water and is according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

the controller is provided with a variable COP, Q_1eLCHWT and LCWT related firstA cold machine performance model:

COP＝f(Q_1e，LCHWT，LCWT)

and the controller is based on the obtained data COP, Q_1eLCHWT and LCWT to train the first cold machine performance model;

and the controller predicts the performance of the first chiller based on the first chiller performance model. The controller passes the obtained data COP, Q_1eThe LCHWT and LCWT are continuously updated with coefficients in the first chiller performance model to obtain a first chiller performance model associated with the actual operating performance of the first chiller. According to the first chiller performance model, when part of the data changes, the corresponding change of other data can be estimated, for example, the first chiller performance model can be used for predicting the energy consumption of the first chiller under different loads. In some embodiments, the first chiller performance model is further related to the rated load Q of the first chiller_1rAnd (4) correlating. In some embodiments, the first model of chiller performance may be a semi-physical model derived from first and second laws of thermodynamics. Based on the principle of energy conservation and entropy balance, the method is a function of three independent variables, including the refrigerating capacity of a cold machine evaporator, the water temperature at the outlet of the evaporator and the water temperature at the outlet of a condenser.

In a further embodiment, the sensor device may comprise: measuring the fan power P of the first cooling tower 8 in the cooling water circuit 3₂The second power meter 53; and is

The controller also acquires SPD data of the rotating speed of the fan of the first cooling tower, and the data can be directly acquired based on the control signal;

controller is internally provided with a variable P₂A first cooling tower fan power model associated with the SPD;

P₂＝f(SPD)

and the controller is based on the obtained data P₂And an SPD to train the first cooling tower fan power model;

and, the controller predicts performance of the first cooling tower fan based on the cooling tower fan power model. In some embodiments, the first cooling tower fan power model is further associated with a first cooling tower fan rated maximumRotating speed SPD_rAnd the rated maximum power P of the fan of the first cooling tower_2rAnd (4) correlating.

In some embodiments, the first cooling tower fan power model is:

wherein:

and the controller passes the obtained data P₂Training coefficient b with SPD₁，b₂And b₃The numerical value of (c). The first cooling tower fan power model may be used to predict the power consumption of the cooling tower at different fan speeds.

In some embodiments, the sensor device further comprises: measuring the power P of the chilled water pressure pump 61 in the chilled water circuit 2₃The third power meter 52; and the controller also obtains the working flow Q of the chilled water pressure pump_opAnd the rotating speed n of the chilled water pressure pump;

controller is internally provided with a variable P₃、Q_opAnd n, a chilled water pressure pump power model:

P₃＝f(Q_op，n)

and the controller is based on the obtained data P₃、Q_opAnd n to train the chilled water pressure pump power model;

and, the controller predicts the performance of the chilled water pressure pump based on a chilled water pressure pump power model. In some embodiments, the chilled water pressure pump power model is also compared to the chilled water pressure pump design rated flow Q_desAnd rated power P of chilled water pressure pump_desAnd (4) correlating.

In some embodiments, the chilled water pressure pump power model is:

wherein:

R_MFR＝Q_op/Q_aes

and the controller is based on the obtained data P₃、Q_opAnd n to train the coefficient a₁，a₂，a₃，a₄，a₅And a₆The numerical value of (c). The specific Q can be accurately predicted through a chilled water pressure pump power model_opAnd n is the power consumption of the chilled water pressure pump.

In some embodiments, the controller also obtains ambient temperature, water flow, fan air volume, inlet water temperature data for the first cooling tower 8; the controller is also internally provided with an effective heat transfer unit quantity model epsilon-NTU related to the data of the environmental temperature, the water flow, the fan air quantity and the inlet water temperature of the first cooling tower; the controller also trains the effective heat transfer unit quantity model based on the obtained ambient temperature, water flow, fan air volume and inlet water temperature data of the first cooling tower; and the controller predicts the first cooling tower outlet water temperature according to the model of the effective number of heat transfer units.

With continued reference to FIG. 2, another embodiment in accordance with the present invention is shown. In this embodiment, the chiller station includes 3 branches connected in parallel and 3 chillers distributed on the 3 branches, which are referred to as a first chiller 11, a second chiller 12, and a third chiller 13, respectively. In the chilled water circuit 2, a first temperature sensor 41 and a second temperature sensor 42 are disposed, and on each branch, temperature sensors are disposed upstream and downstream of each chiller, including temperature sensors 441, 442 upstream and downstream of the first chiller 11, temperature sensors 451, 452 upstream and downstream of the second chiller 12, and temperature sensors 461, 462 upstream and downstream of the third chiller 13, respectively. Also included in the chilled water loop 2 are a bypass valve 10, a load 9, a first chilled water pressure pump 63 and a second chilled water pressure pump 64. In this embodiment, it is difficult and expensive to obtain the flow rate through each cooler by installing a flow meter in each branch. Thus, in some embodiments of the invention, the flow meter is configured only on the total flow path, and the controller obtains the total flow F and estimates itThe flow Fi of each branch. Specifically, in the case of three branches, the controller obtains 3 different total loads Q under a certain condition_jChilled water temperature ECHWT entering each chiller_ijAnd the chilled water temperature, LCHWT, leaving each chiller_ijAnd calculating the temperature difference delta T of inlet and outlet water of each cooler_ij＝ECHWT_ij-LCHWT_ijAnd i represents the ith cold machine, 1, 2, 3 and j can be selected to represent the jth total load Q_j1, 2, 3;

the controller passes the equation:

(Q₁+x₁)/c＝F₁·ΔT₁₁+F₂·ΔT₂₁+F₃·ΔT₃₁

(Q₂+x₁)/c＝F₁·ΔT₁₂+F₂·ΔT₂₂+F₃·ΔT₃₂

(Q₃+x₁)/c＝F₁·ΔT₁₃+F₂·ΔT₂₃+F₃·ΔT₃₃

the equation is based on the law of conservation of energy, where c represents the specific heat, x₁To compensate for the parameters, it may be an empirical parameter that takes into account heat loss from the piping, heat sources within the system, such as pump heating, and other factors, in some cases x, which may be ignored₁Zero may be taken. The flow F of the chilled water passing through the 1 st cooler in the working condition can be obtained by solving the equation₁Flow rate of chilled water F of the 2 nd chiller₂And the chilled water flow F of the 3 rd cooler₃. The same working condition refers to that the flow of each branch is not changed, but for a multi-branch cold machine station, if the physical structure is changed, for example, when the pipeline mode and the valve opening degree are changed, for example, the bypass valve 10 is opened or closed, the cold machine is opened or closed, and the like, the working condition can be changed. Various total load data often appear in the operation process of the cold machine under the same working condition, and the controller can estimate the flow on each branch only by selectively collecting the data under various working conditions. The flow on each branch can be used for evaluating the performance of each branch besides the model analysis or judging from flow dataWhether the flow of the broken branch is abnormal or whether the water pump is abnormal, etc. On the other hand, after the working condition is changed, three different groups of total loads Q should be re-aimed at the new working condition_jThe flow rate of each flow path is estimated by the above method. It should be understood that Q_jF × c × (ECHWT-LCHWT), where F is the total flow rate, and the ECHWT and LCHWT are the chilled water temperatures entering and leaving the cold station group, respectively, which are obtained by the first temperature sensor 41 and the second temperature sensor 42, respectively. Additionally, in some embodiments, to make the obtained estimated flow data more accurate, in some embodiments, any two total loads Q in the same operating condition are_jShould differ by more than 5%, e.g. two total loads Q_jIf they are close, the estimated traffic data of each branch will have a deviation. In addition, it should be understood that the same principle can be generalized to the case where n chillers are distributed on n branches, and at this time, n loads Q of the same working condition need to be obtained_jThe following data can solve the equation.

With continued reference to fig. 2, in some embodiments, in the cooling water circuit 3, indicated by dashed lines, there may be a plurality of cooling towers, such as a first cooling tower 81, a second cooling tower 82, and a third cooling tower 83. For the flow rate of each cooling tower, since the total heat release of the system is finally discharged from the cooling water side, the total load of the cooling water side is also known, and the total amount of heat release of the cooling tower is equal to the heat generation of the chiller and the heat generation of the cooling water pressure pump 65, therefore, the flow rate of each branch can also be estimated from the flow rate of the main flow path based on the above method, so as to evaluate whether the flow rate of each branch of cooling water is abnormal or not, or used for other analysis. Specifically, the method for estimating the flow rate passing through each cooling tower comprises the following steps: obtaining 3 different total loads q under a certain working condition_jCooling water temperature lower into each cooling tower ECTWT_ijAnd the cooling water temperature LCTWT leaving each cooling tower_ijAnd calculating 3 different total loads q under the working condition_jTemperature difference delta t of inlet water and outlet water of each lower cooling tower_ij＝ECTWT_ij-LCTWT_ijWherein i represents the ith cooling tower, 1, 2, 3 and j can represent the jth total load q_j1, 2, 3;

the method includes, by the equation:

(q₁+x₂)/c＝f₁·Δt₁₁+f₂·Δt₂₁+f₃·Δt₃₁

(q₂+x₂)/c＝f₁·Δt₁₂+f₂·Δt₂₂+f₃·Δt₃₂

(q₃+x₂)/c＝f₁·Δt₁₃+f₂·Δt₂₃+f₃·Δt₃₃

to find the flow fi of cooling water through each cooling tower in said operating condition. In the above equation, c is specific heat, x₂To account for heat losses in the piping, compensation constants for heat sources within the system, such as the coolant pressure pump 65, may be empirically derived or may be zero. Additionally, in some embodiments, to make the obtained estimated flow data more accurate, in some embodiments, any two total loads q in the same operating condition are_jShould differ by more than 5%, e.g. two total loads q_jIf they are close, the estimated traffic data of each branch will have a deviation. It should be understood that the method can also be generalized to the case where m branches are included in the cooling water circuit, and m loads q under the same working condition need to be obtained at this time_jThe following data can solve the equation.

In other embodiments, there is also provided a cold machine station performance prediction method, including:

acquiring the temperature ECHWT of chilled water entering a first cooler in a chilled water loop;

acquiring the temperature LCHWT of the chilled water leaving the first chiller in the chilled water circuit;

obtaining total flow F of chilled water in the chilled water circuit, and estimating flow F of chilled water passing through the first chiller based on the total flow F of chilled water₁Or directly obtaining the flow F of the chilled water passing through the first cooler₁；

Obtaining the temperature LCWT of cooling water leaving the first cooler in a cooling water circuit;

obtaining the power P of the first cooler₁(ii) a And

according to the formula:

Q_1e＝F₁×c×(ECHWT-LCHWT)

obtaining the load Q of the first cooler_1eWherein c is the specific heat of water and is according to the formula:

COP＝Q_1e/P₁

obtaining a coefficient of performance (COP) of the first cooler;

and, based on the obtained data COP, Q_1eLCHWT and LCWT to train and vary COP, Q_1eFirst cold machine performance models relating to LCHWT and LCWT:

COP＝f(Q_1e，LCHWT，LCWT)

and predicting the performance of the first chiller based on the first chiller performance model.

In some embodiments, the first chiller performance model is further related to a rated load Q of the first chiller_1rAnd (4) correlating.

In some embodiments, the method:

obtaining the power P of the first cooling tower fan in the cooling water loop₂；

Acquiring SPD data of the rotating speed of a fan of a first cooling tower;

training and relating variable P based on obtained data P2 and SPD₂First cooling tower fan power model associated with SPD:

P₂＝f(SPD)

and predicting performance of the first cooling tower fan based on the first cooling tower fan power model.

In some embodiments, the first cooling tower fan power model is further associated with a first cooling tower fan rated maximum speed SPD_rAnd the rated maximum power P of the fan of the first cooling tower_2rAnd (4) correlating.

In some embodiments, the first cooling tower fan power model is:

wherein:

the method comprises obtaining data P₂Training coefficient b with SPD₁，b₂And b₃The numerical value of (c).

In some embodiments, the method comprises:

obtaining the power P of the chilled water pressure pump in the chilled water loop₃；

Obtaining the working flow Q of the chilled water pressure pump_opAnd the rotating speed n of the chilled water pressure pump;

based on the obtained data P₃、Q_opN to train and vary P₃、Q_opAnd n, a chilled water pressure pump power model:

P₃＝f(Q_op，n)

and predicting the performance of the chilled water pressure pump based on the chilled water pressure pump power model.

In some embodiments, the chilled water pressure pump power model is further compared to a chilled water pressure pump design rated flow rate Q_desAnd rated power P of chilled water pressure pump_desAnd (4) correlating.

In some embodiments, the pressure pump power model is:

wherein:

R_MFR＝Q_op/Q_des

the method comprises obtaining data P based on₃、Q_opAnd n to train the coefficient a₁，a₂，a₃，a₄，a₅And a₆The numerical value of (c).

In some embodiments, the method comprises:

acquiring data of the ambient temperature, the water flow, the fan air volume and the inlet water temperature of the first cooling tower;

training an effective heat transfer unit quantity model epsilon-NTU related to the ambient temperature, the water flow, the fan air volume and the inlet water temperature data of the first cooling tower based on the obtained ambient temperature, the water flow, the fan air volume and the inlet water temperature data of the first cooling tower; and

predicting the first cooling tower exit water temperature according to the model of the effective number of heat transfer units.

In some embodiments, the chiller station comprises n branches connected in parallel and n chillers distributed on the n branches;

the method comprises the following steps:

obtaining n different total loads Q under a certain working condition_jChilled water temperature ECHWT entering each chiller_ijAnd the chilled water temperature, LCHWT, leaving each chiller_ijAnd calculating the temperature difference delta T of inlet and outlet water of each cooler_ij＝ECHWT_ij-LCHWT_ijAnd i represents the ith cold machine, and 1, 2.. n can be taken, and j represents the jth total load Q_jN, 1, 2.. can be taken;

the method includes, by the equation:

(Q₁+x₁)/c＝F₁·ΔT₁₁+F₂·ΔT₂₁+…F_n·ΔT_n1

(Q₂+x₁)/c＝F₁·ΔT₁₂+F₂·ΔT₂₂+…F_n·ΔT_n2

…

(Q_n+x₁)/c＝F₁·ΔT_1n+F₂·ΔT_2n+…F_n·ΔT_nn

and calculating the flow rate Fi of the chilled water passing through the ith cooler in the working condition.

In some embodiments, the cooling water circuit of the chiller station comprises m branches connected in parallel and m cooling towers distributed on the m branches;

the method comprises the following steps:

obtaining m different total loads q under a certain working condition_jLower part

Cooling water temperature ECTWT entering each cooling tower_ijAnd the cooling water temperature LCTWT leaving each cooling tower_ijAnd calculating m different total loads q under the working condition_jTemperature difference delta t of inlet water and outlet water of each lower cooling tower_ij＝ECTWT_ij-LCTWT_ij，

Wherein i represents the ith cooling tower, and 1, 2.. m can be taken,

j represents the j-th total load q_j1, 2.. m can be taken;

the method includes, by the equation:

(q₁+x₂)/c＝f₁·Δt₁₁+f₂·Δt₂₁+…f_m·Δt_m1

(q₂+x₂)/c＝f₁·Δt₁₂+f₂·Δt₂₂+…f_m·Δt_m2

…

(q_m+x₂)/c＝f₁·Δt_1m+f₂·Δt_2m+…f_m·Δt_mm

to find the flow fi of cooling water through each cooling tower in said operating condition.

The foregoing description of the specific embodiments has been presented only to illustrate the principles of the invention more clearly, and in which various features are shown or described in detail to facilitate an understanding of the principles of the invention. Various modifications or changes to the invention will be readily apparent to those skilled in the art without departing from the scope of the invention. It is to be understood that such modifications and variations are intended to be included within the scope of the present invention.