EP4621319A1

EP4621319A1 - Chiller unit energy consumption calculating method, calculating device, and chiller unit

Info

Publication number: EP4621319A1
Application number: EP25164875.4A
Authority: EP
Inventors: Keyu LI; Wei Huang; Qian Li; Lei Yu
Original assignee: Carrier Corp
Current assignee: Carrier Corp
Priority date: 2024-03-21
Filing date: 2025-03-19
Publication date: 2025-09-24
Also published as: CN120684775A; US20250297755A1

Abstract

This invention provides a method for predicting and calculating energy consumption of a chiller unit, a device for predicting and calculating energy consumption of a chiller unit, and a chiller unit. The method includes: a chiller unit load prediction step of predicting and outputting a total load of the chiller unit based on a preset cooling load prediction model; a chiller load distribution step of distributing the total load of the chiller unit to generate a first chiller load and a second chiller load, according to a preset chiller load distribution logic; a chiller energy efficiency value acquisition step of correspondingly acquiring a first chiller energy efficiency value and a second chiller energy efficiency value according to a preset chiller load-energy efficiency relationship; and a chiller power calculation step of calculating a first chiller input power and a second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value.

Description

Technical Field

This invention relates to the field of refrigeration equipment, and specifically relates to a method for calculating energy consumption of a chiller unit composed of multiple chillers, a device for calculating energy consumption of a chiller unit, a chiller unit using the calculating method, and a chiller unit having the calculating device.

Background Art

A centralized heating ventilation air conditioning (HVAC) system is usually composed of multiple chiller units, water pumps, cooling towers and corresponding pipelines. Manual control or traditional PID control methods usually fail to achieve an ideal energy-saving effect.
Model predictive control (MPC), as an intelligent control method, has capabilities of self-adaptation, self-learning and self-coordination, and can perform global optimization control on a complex HVAC system to improve properties and energy-saving effect of a chiller unit system.
Accurate prediction of a power of the chiller unit is crucial for applying advanced control methods such as model predictive control (MPC) to the HVAC system building to achieve energy saving.
A method for predicting a power of a chiller unit in the related art mainly includes using a data-driven model and using a building physics-based model and the like. However, the data-driven model is highly dependent on quality and availability of collected data, while the building physics-based model is usually very complex and not suitable for control applications.

Summary of the Invention

In view of the above problems, this specification discloses a method for calculating energy consumption of a chiller unit, a chiller unit using the method for calculating energy consumption of a chiller unit, a device for calculating energy consumption of a chiller unit, and a chiller unit having the device for calculating energy consumption of a chiller unit, which can predict and calculate the power of a chiller unit with high accuracy and efficiency, so as to solve problems existing in the related art.
A first aspect of this invention provides a method for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit including at least a first chiller and a second chiller. The method for calculating energy consumption of a chiller unit includes:

a chiller unit load prediction step of predicting and outputting a total load of the chiller unit based on a preset cooling load prediction model;
a chiller load distribution step of distributing the total load of the chiller unit output in the chiller unit load prediction step to generate a first chiller load corresponding to the first chiller and a second chiller load corresponding to the second chiller, according to a preset chiller load distribution logic;
a chiller energy efficiency value acquisition step of correspondingly acquiring a first chiller energy efficiency value and a second chiller energy efficiency value according to a preset chiller load-energy efficiency relationship, based on the first chiller load and the second chiller load generated by being distributed in the chiller load distribution step; and
a chiller power calculation step of calculating a first chiller input power and a second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value acquired in the chiller energy efficiency value acquisition step.

Optionally, the method for calculating energy consumption of a chiller unit further includes:

a water pump load prediction step of predicting and outputting a total load of water pumps based on a preset cooling load prediction model;
a water pump load distribution step of distributing the total load of the water pumps to the first water pump corresponding to the first chiller and the second water pump corresponding to the second chiller according to the chiller load distribution logic;
a water pump efficiency acquisition step of correspondingly acquiring a first water pump efficiency value and a second water pump efficiency value according to a preset water pump load-efficiency curve, based on the first water pump load and the second water pump load distributed in the water pump load distribution step; and
a water pump power calculation step of calculating a first water pump input power and a second water pump input power according to output results in the water pump load distribution step and the water pump efficiency acquisition step.

Optionally, the cooling load prediction model used is a data-driven model, a physical prediction model, or a combination of the data-driven model and the physical prediction model.
A second aspect of this invention provides a device for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit comprising a first chiller and a second chiller, wherein the device includes:

a chiller unit load prediction unit configured to predict and output a total load of the chiller unit based on a preset cooling load prediction model;
a chiller load distribution unit configured to distribute the total load of the chiller unit output by the chiller unit load prediction unit to the first chiller and the second chiller of the chiller unit, according to a preset chiller load distribution logic;
a chiller energy efficiency value acquisition unit configured to correspondingly acquire a first chiller energy efficiency value and a second chiller energy efficiency value according to a preset chiller load-energy efficiency relationship, based on a first chiller load and a second chiller load distributed and output by the chiller load distribution unit; and
a chiller power calculation unit configured to calculate a first chiller input power and a second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value acquired by the chiller energy efficiency value acquisition unit.

Optionally, the device for calculating energy consumption of a chiller unit may further include:

a water pump load prediction unit configured to predict and output a total load of water pumps based on a preset cooling load prediction model;
a water pump load distribution unit configured to distribute the total load of the water pumps to the first water pump corresponding to the first chiller and the second water pump corresponding to the second chiller according to the chiller load distribution logic;
a water pump efficiency acquisition unit configured to correspondingly acquire a first water pump efficiency value and a second water pump efficiency value according to a preset water pump load-efficiency curve, based on the first water pump load and the second water pump load distributed by the water pump load distribution unit; and
a water pump power calculation unit configured to calculate a first water pump input power and a second water pump input power according to output results of the water pump load distribution unit and the water pump efficiency acquisition unit.

Optionally, the cooling load prediction model is a data-driven model, a physical prediction model, or a combination of the data-driven model and the physical prediction model.
A third aspect of this invention provides a chiller unit, including at least a first chiller, a second chiller, a first water pump provided corresponding to the first chiller and a second water pump provided corresponding to the second chiller. The chiller unit uses the method for calculating energy consumption of a chiller unit provided in the first aspect of this invention to calculate a first chiller input power and a second chiller input power.
Optionally, the chiller unit of this invention further includes the device for calculating energy consumption of a chiller unit provided in the second aspect of this invention.

Descriptions of the Drawings

Certain exemplary embodiments will now be described in greater detail by way of example only and with reference to the accompanying drawings in which:

FIG. 1 is a system schematic diagram of a chiller unit;
FIG. 2 is a schematic diagram showing steps of a method for predicting and calculating energy consumption of a chiller unit;
FIG. 3 is a schematic diagram of a chiller load-energy efficiency curve;
FIG. 4 is another schematic diagram showing steps of a method for predicting and calculating energy consumption of a chiller unit;
FIG. 5 is a schematic diagram of a water pump load-efficiency curve;
FIG. 6 is a block schematic diagram of a device for calculating energy consumption of a chiller unit; and
FIG. 7 is another block schematic diagram of the device for calculating energy consumption of a chiller unit.

List of Reference Numerals:

1 first chiller; 2 second chiller; 3 third chiller; 11 first compressor; 21 second compressor; 31 third compressor; 12 first condenser; 22 second condenser; 32 third condenser; 13 first expansion valve; 23 second expansion valve; 33 third expansion valve; 14 first evaporator; 24 second evaporator; 34 third evaporator; 15 first water pump; 16 user terminal; 25 second water pump; 35 third water pump.

Detailed Description

The technical solution in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings, and obviously, the described embodiments are not an exclusive set of embodiments of this invention. All other embodiments obtained by those skilled in the art without creative work fall within the protection scope of this invention as set out in the appended claims.
It is known to those skilled in the art that in order to apply advanced control methods such as model predictive control (MPC) to a centralized heating ventilation air conditioning building system, there are often two forms of using a physical building model and of using a data-driven model to predict refrigeration load or heating load of the centralized heating ventilation air conditioning building system.
The physical building model acquires information such as building type, number of floors, thermal property of the building envelope, climate zone, meteorological parameters, location, orientation, geometry, area, and occupant density, then establishes a physical model and performs energy consumption simulation analysis on the physical model to acquire energy consumption optimization results. However, the physical building model is usually very complex, with many types and large calculated amount, making them unsuitable for control applications.
The data-driven model acquires historical load data, various historical meteorological parameters such as outdoor dry bulb temperature, outdoor relative humidity, outdoor dew point temperature, wind speed, wind direction, cloud cover and atmospheric pressure, as well as weather or chronosystem feature data such as weather forecast, month, day attributes, hours, and on this basis uses algorithms such as multidimensional clustering, multi-step input-multi-step output, attention mechanism to build a training sample database, establishes a data-driven prediction model, trains the model, and then evaluates the trained model, and uses the evaluated model to predict the load of the chiller unit. However, the data-driven model is highly dependent on quality and availability of collected data. In practice, the operating data of different chiller units may have varying qualities and poor data quality, which may lead to inaccurate load prediction of the chiller unit.
Among these, accurate prediction of an input power of the chiller unit is crucial for realizing model predictive control (MPC) of the centralized heating ventilation air conditioning system and improving energy-saving effect.
The chiller unit according to a method for predicting and calculating energy consumption of a chiller unit and a device for predicting and calculating energy consumption of a chiller unit of this invention is composed of multiple chillers. A chiller unit composed of three chillers is used as an example for explanation below.
FIG. 1 is a system schematic diagram of a chiller unit according to an embodiment of this invention. As shown in FIG. 1, the chiller unit is composed of a first chiller 1, a second chiller 2 and a third chiller 3. The first chiller 1 includes a refrigerant pipeline connected in sequence to a first compressor 11, a first condenser 12, a first expansion valve 13 and a first evaporator 14, forming a refrigerant circulation loop. The high-temperature and highpressure refrigerant discharged from the first compressor 11 performs heat exchange with an external medium (such as water or air) in the first condenser 12, and after being decompressed and expanded by the first expansion valve 13, performs heat exchange with the external medium (such as water) in the first evaporator 14, absorbs heat from the external medium (such as water) in the first evaporator 14, and enters the first compressor 11 to be compressed and heated again, and the cycle continues. The external medium (such as water) in the first evaporator 14 is cooled after heat being absorbed to form low-temperature cold water of a predetermined temperature, which is driven by the first water pump 15 and supplied to the user terminal 16, and returns to the first evaporator 14 for circulation again after absorbing heat in the user terminal 16.
The second chiller 2 includes a refrigerant pipeline connected in sequence to a second compressor 21, a second condenser 22, a second expansion valve 23, and a second evaporator 24, forming a refrigerant circulation loop. The external medium (such as water) in the second evaporator 24 is cooled after heat being absorbed to form low-temperature cold water of a predetermined temperature, which is driven by the second water pump 25 and supplied to the user terminal 16, and returns to the second evaporator 24 for circulation again after absorbing heat in the user terminal 16. The third chiller 3 includes a refrigerant pipeline connected in sequence to a third compressor 31, a third condenser 32, a third expansion valve 33, and a third evaporator 34, forming a refrigerant circulation loop. The external medium (such as water) in the third evaporator 34 is cooled after heat being absorbed to form low-temperature cold water of a predetermined temperature, which is driven by the third water pump 35 and supplied to the user terminal 16, and returns to the third evaporator 34 for circulation again after absorbing heat in the user terminal 16.
The working principles of the chiller 2 and the chiller 3 are substantially the same as those of the chiller 1 and will not be repeated here.
In addition, the compressor 11, the compressor 21 and the compressor 31 of the first chiller 1, the second chiller 2 and the third chiller 3 may be screw type, scroll type or centrifugal type, or any combination thereof. There is no particular limitation on a type of refrigerant used.
The method for predicting and calculating energy consumption of a chiller unit is illustrated below by way of example based on the chiller unit described in FIG. 1.

FIG. 2 is a schematic diagram showing steps of a method for predicting and calculating energy consumption of a chiller unit of an embodiment of this invention. First, in a chiller unit load prediction step, a total load Q of the chiller unit, i.e., a total load that needs to be provided to a user terminal 16, is predicted and generated based on a preset data-driven model (i.e., a cooling load prediction model). Then, in a chiller load distribution step, the total load Q of the chiller unit output in the chiller unit load prediction step is distributed to generate a first chiller load Q1 corresponding to the first chiller 1, a second chiller load Q2 corresponding to the second chiller 2, and a third chiller load Q3 corresponding to the third chiller 3, according to a preset chiller load distribution logic.
Subsequently, in a chiller energy efficiency value acquisition step, a first chiller energy efficiency value COP1, a second chiller energy efficiency value COP2 and a third chiller energy efficiency value COP3 are correspondingly acquired according to a preset chiller load-energy efficiency relationship data, based on the first chiller load Q1, the second chiller load Q2 and the third chiller load Q3 generated by being distributed in the chiller load distribution step.
In a subsequent chiller power calculation step, a first chiller input power P1, a second chiller input power P2 and a third chiller input power P3 are calculated according to the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 acquired in the chiller energy efficiency value acquisition step.
FIG. 3 is a schematic diagram of a chiller load-energy efficiency curve under specific working conditions, taking the first chiller 1 as an example. As shown in FIG. 3, after the first chiller load Q1 is generated by distributing in the chiller load distribution step, the first chiller energy efficiency value COP1 corresponding to the first chiller load Q1 can be acquired by referring to the corresponding working conditions (for example, including an evaporator entering water temperature, a condenser entering water temperature, an outside air temperature, etc.), and the first chiller input power P1 can be calculated accordingly.
Because the chiller load-energy efficiency relationship, i.e., the equipment characteristic curve, is preset with corresponding data when a chiller leaves the factory, the above calculation method can be used to accurately obtain the first chiller input power P1 with the simplest calculated amount.
Similarly, according to the above steps, the second chiller energy efficiency value COP2 corresponding to the second chiller load Q2 can be calculated, and the second chiller input power P2 can be calculated accordingly. The third chiller energy efficiency value COP3 corresponding to the third chiller load Q3 can be calculated, and the third chiller input power P3 can be calculated accordingly.
The preset chiller load distribution logic may be an optimal chiller load (OCL) distribution logic, that is, the overall efficiency of the entire chiller unit is maximized and the energy consumption is minimized, by reasonably distributing load to each chiller. For example, a multi-phase genetic algorithm (MPGA), a Lagrangian Algorithm, etc. may be used, and there is no particular limitation. It is sufficient as long as the total load Q of the chiller unit can be distributed into the first chiller load Q1, the second chiller load Q2, and the third chiller load Q3, according to the preset chiller load distribution logic.
Table 1 shows a specific example of the energy efficiency value and input power of each chiller obtained by calculation according to the method for predicting and calculating energy consumption of a chiller unit, taking the total load Q of the chiller unit of 1500kW as an example. Table 1

first chiller 1 second chiller 2 third chiller 3

load 800 kW 700 kW 0 kW

COP value 4.8 4.5 0

chiller input power 166.67 kW 155.56 kW 0 kw
Preferably, further, in a chiller input power summarizing step, the first chiller input power P1, the second chiller input power P2 and the third chiller input power P3 may be summarized to acquire a total power consumption value P of the chiller unit. For example, as shown in Table 1, 322.23 kW is the total power consumption value P of the chiller unit.
In addition, in embodiments of this invention, FIG. 2 is used as an example to illustrate the chiller load-energy efficiency relationship data, and it is not limited to the COP characteristic curve, the energy efficiency ratio EER characteristic curve and the like can also be used as the chiller load-energy efficiency relationship data.
Meanwhile, no matter whether the preset chiller load-energy efficiency relationship data is COP or EER, the COP value and EER value can be calculated using the input power of the entire machine including the compressor of the chiller, pipe valve controller, fan, etc., or using only the power of the compressor alone as the input power, and there is no particular limitation.
Therefore, according to the method for predicting and calculating energy consumption of a chiller unit, by utilizing characteristic curve of each chiller, the accuracy of chiller power prediction can be greatly improved compared to a pure data-driven model.
Because a cooling load of a building as the demand side is only related to the weather and the state of the building itself, and is not related to the specific operating variables (such as chilled water temperature, chiller load rate, etc.) of the chiller as the supply side, predicting the cooling load of the building by using the data-driven model requires fewer variables than predicting chiller energy consumption, and the prediction results are more reliable. Meanwhile, the method for predicting and calculating energy consumption of a chiller unit combines the building cooling load prediction value acquired by using the data-driven model and the accurate chiller characteristic curve data, thereby making prediction of the energy consumption of a chiller more accurate.

FIG. 4 is another schematic diagram showing steps of a method for predicting and calculating energy consumption of a chiller unit.
The chiller unit according to this embodiment is the same as that in the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and will not be repeated here.
First, in a water pump load prediction step, a total load q of water pumps is predicted and output based on a preset water pump load prediction model. The total load q of water pumps is related to the total load Q of the chiller unit (i.e., the cooling load of the building) and control variables (such as a setting value of the chilled water temperature and a setting value of supply and return water pressure difference) of the chiller unit that needs to be optimized. Therefore, the water pump load prediction model needs to take the cooling load Q and the control variables of the relevant chiller unit as input to obtain the total load q of the water pumps.
Then, a water pump load distribution step is executed, that is, the total load q of the water pumps is distributed to the first water pump 15 corresponding to the first chiller 1, the second water pump 25 corresponding to the second chiller 2 and the third water pump 35 corresponding to the third chiller 3, according to the preset chiller load distribution logic. Further, in a water pump efficiency acquisition step, a first water pump efficiency value η1, a second water pump efficiency value η2 and a third water pump efficiency value η3 are correspondingly acquired according to a preset water pump load-efficiency curve, based on the first water pump load q1, the second water pump load q2 and the third water pump load q3 distributed in the water pump load distribution step.
In a water pump power calculation step, the first water pump input power p1, the second water pump input power p2 and the third water pump input power p3 are calculated according to output results in the water pump load distribution step and the water pump efficiency acquisition step.
FIG. 5 is a schematic diagram of a water pump load-efficiency curve, taking the first water pump 15 as an example. As shown in FIG. 5, after the total water pump load is distributed into the first water pump load q1, the second water pump load q2 and the third water pump load q3 in the water pump load distribution step, the first water pump efficiency value η1 corresponding to the first water pump load q1 can be acquired by referring to the water pump load-efficiency curve corresponding to the first water pump 15, and the first water pump input power p1 can be calculated accordingly.
Because the water pump load-efficiency relationship, as the equipment characteristic curve of the water pump, is preset with corresponding data when a water pump leaves the factory, the above calculation method can be used to accurately obtain the first water pump input power p1 with the simplest calculated amount.
Similarly, according to the above steps, the second water pump efficiency value η2 corresponding to the second water pump load q2 can be easily acquired, and the second water pump input power p2 can be calculated accordingly. In addition, the third water pump efficiency value η3 corresponding to the third water pump load q3 can be easily acquired, and the third water pump input power p3 can be calculated accordingly.
Table 2 shows the flow load distribution and water pump efficiency value of each pump, taking the total load q of the water pumps of 300 kg/s corresponding to the total load Q of the chiller unit as an example. According to the following formula, the corresponding input power of each water pump can be calculated.
water pump input power = flow load × lift × medium density / 3600 / water pump efficiency Table 2

first water pump 15 second water pump 25 third water pump 35

flow load 180 kg/s 120 kg/s 0 kg/s

water pump efficiency 0.8 0.7 0
Preferably, as shown in FIG. 3, after obtaining the input power value of each water pump, the first water pump input power p1, the second water pump input power p2 and the third water pump input power p3 may be summarized to acquire a total power p of water pumps in a water pump power summarizing step.
The calculation of the water pump input power is explained above using the water pump flow-efficiency curve as an example. However, this invention is not limited thereto. A water pump flow-power curve can also be used to calculate the input power of the water pump, as long as the water pump flow-power curve data is available when the water pump leaves the factory. At this time, the water pump efficiency acquisition step in the above embodiment can be omitted, and in the water pump power calculation step, corresponding data can be directly captured according to the preset water pump flow-power curve.
In addition, the characteristic curve of the water pump may vary greatly depending on the type of water pump. The illustration of this embodiment is merely an example and does not constitute any limitation to this invention.
Therefore, according to the method for predicting and calculating energy consumption of a chiller unit, by utilizing the preset characteristic curve of the water pump, input power of each water pump is accurately calculated, which can help improve the accuracy of water pump power prediction compared to a pure data-driven model.

The third embodiment of this invention provides a device for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit including a first chiller 1, a second chiller 2 and a third chiller 3.
The chiller unit according to this embodiment is the same as that in the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and will not be repeated here.
FIG. 6 is a block schematic diagram of a device for calculating energy consumption of a chiller unit.
As shown in FIG. 6, a chiller unit load prediction unit predicts and generates a total load Q of the chiller unit, i.e., a total load that needs to be provided to the user terminal 16, based on a preset data-driven model (i.e., a cooling load prediction model). Then, the total load Q of the chiller unit is output to a chiller load distribution unit, the total load Q of the chiller unit output by the chiller unit load prediction unit is distributed to generate a first chiller load Q1 corresponding to the first chiller 1, a second chiller load Q2 corresponding to the second chiller 2, and a third chiller load Q3 corresponding to the third chiller 3 according to the preset chiller load distribution logic (stored in a chiller load distribution logic unit (not shown)).
Subsequently, a chiller energy efficiency value acquisition unit correspondingly acquires a first chiller energy efficiency value COP1, a second chiller energy efficiency value COP2 and a third chiller energy efficiency value COP3 according to a preset chiller load-energy efficiency relationship data, based on the first chiller load Q1, the second chiller load Q2 and the third chiller load Q3 generated by being distributed by the chiller load distribution unit.
Then, a chiller power calculation unit calculates a first chiller input power P1, a second chiller input power P2 and a third chiller input power P3 according to the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 acquired from the chiller energy efficiency value acquisition unit.
By utilizing characteristic curve of each chiller, the accuracy of chiller power prediction can be greatly improved compared to a pure data-driven model. Meanwhile, the methods for predicting and calculating energy consumption of a chiller unit of embodiments of this invention are more robust than a purely data-driven method.

The fourth embodiment of this invention provides a device for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit including a first chiller 1, a second chiller 2 and a third chiller 3.
The chiller unit according to this embodiment is the same as that in the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and will not be repeated here.
FIG. 7 is a block schematic diagram of a device for calculating energy consumption of a chiller unit.
As shown in FIG. 7, a water pump load prediction unit predicts and outputs a total load q of water pumps based on a preset cooling load prediction model. A water pump load distribution unit distributes the total load q of the water pumps to the first water pump 15 corresponding to the first chiller 1, the second water pump 25 corresponding to the second chiller 2 and the third water pump 35 corresponding to the third chiller 3 according to the preset chiller load distribution logic. A water pump efficiency acquisition unit correspondingly acquires a first water pump efficiency value η1, a second water pump efficiency value η2 and a third water pump efficiency value η3 according to a preset water pump load-efficiency curve, based on the first water pump load q1, the second water pump load q2 and the third water pump load q3 distributed by the water pump load distribution unit. A water pump power calculation unit calculates a first water pump input power p1, a second water pump input power p2 and a third water pump input power p3 according to output results of the water pump load distribution unit and the water pump efficiency acquisition unit.
Therefore, according to the device for predicting and calculating energy consumption of a chiller unit, by utilizing the preset characteristic curve of the water pump, input power of each water pump is accurately calculated, which can help improve the accuracy of water pump power prediction compared to a pure data-driven model.
Because a cooling load of a building as the demand side is only related to the weather and the state of the building itself, and is not related to the specific operating variables (such as chilled water temperature, chiller load rate, etc.) of the chiller as the supply side, predicting the cooling load of the building by using the data-driven model requires fewer variables than predicting chiller energy consumption, and the prediction results are more reliable. Meanwhile, the prediction of energy consumption of a chiller unit of embodiments of this invention combines the building cooling load prediction and the accurate chiller characteristic curve data, thereby making prediction of the energy consumption of a chiller more accurate.
The above embodiments are merely preferred embodiments of this invention and are not intended to limit this invention. Any modifications, equivalent substitutions, and improvements made within the scope of the invention shall be included in the protection scope of this invention as set out in the appended claims.

Claims

A method for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit comprising at least a first chiller (1) and a second chiller (2), the method comprising:
a chiller unit load prediction step of predicting and outputting a total load of the chiller unit based on a preset cooling load prediction model;

a chiller load distribution step of distributing the total load of the chiller unit output in the chiller unit load prediction step to generate a first chiller load corresponding to the first chiller and a second chiller load corresponding to the second chiller, according to a preset chiller load distribution logic;

a chiller energy efficiency value acquisition step of correspondingly acquiring a first chiller energy efficiency value and a second chiller energy efficiency value according to a preset chiller load-energy efficiency relationship, based on the first chiller load and the second chiller load generated by being distributed in the chiller load distribution step; and

a chiller power calculation step of calculating a first chiller input power and a second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value acquired in the chiller energy efficiency value acquisition step.
The method for calculating energy consumption of a chiller unit according to claim 1, which is used for calculating power consumption of a first water pump (15) provided corresponding to the first chiller (1) and a second water pump (25) provided corresponding to the second chiller (2), the method further comprising:
a water pump load prediction step of predicting and outputting a total load of water pumps based on a preset cooling load prediction model;

a water pump load distribution step of distributing the total load of the water pumps to the first water pump corresponding to the first chiller and the second water pump corresponding to the second chiller according to the chiller load distribution logic;

a water pump efficiency acquisition step of correspondingly acquiring a first water pump efficiency value and a second water pump efficiency value according to a preset water pump load-efficiency curve, based on the first water pump load and the second water pump load distributed in the water pump load distribution step; and

a water pump power calculation step of calculating a first water pump input power and a second water pump input power according to output results in the water pump load distribution step and the water pump efficiency acquisition step.
The method for calculating energy consumption of a chiller unit according to claim 1 or 2, wherein the cooling load prediction model is a data-driven model, a physical prediction model, or a combination of the data-driven model and the physical prediction model.
A device for calculating energy consumption of a chiller unit, which is used for calculating energy consumption of a chiller unit comprising a first chiller (1) and a second chiller (2), the device comprising:
a chiller unit load prediction unit configured to predict and output a total load of the chiller unit based on a preset cooling load prediction model;

a chiller load distribution unit configured to distribute the total load of the chiller unit output by the chiller unit load prediction unit to the first chiller and the second chiller of the chiller unit, according to a preset chiller load distribution logic;

a chiller energy efficiency value acquisition unit configured to correspondingly acquire a first chiller energy efficiency value and a second chiller energy efficiency value according to a preset chiller load-energy efficiency relationship, based on a first chiller load and a second chiller load distributed and output by the chiller load distribution unit; and

a chiller power calculation unit configured to calculate a first chiller input power and a second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value acquired by the chiller energy efficiency value acquisition unit.
The device for calculating energy consumption of a chiller unit according to claim 4, which is used for calculating power consumption of a first water pump (15) provided corresponding to the first chiller (1) and a second water pump (25) provided corresponding to the second chiller (2), the device further comprising:
a water pump load prediction unit configured to predict and output a total load of water pumps based on a preset cooling load prediction model;

a water pump load distribution unit configured to distribute the total load of the water pumps to the first water pump corresponding to the first chiller and the second water pump corresponding to the second chiller according to the chiller load distribution logic;

a water pump efficiency acquisition unit configured to correspondingly acquire a first water pump efficiency value and a second water pump efficiency value according to a preset water pump load-efficiency curve, based on the first water pump load and the second water pump load distributed by the water pump load distribution unit; and

a water pump power calculation unit configured to calculate a first water pump input power and a second water pump input power according to output results of the water pump load distribution unit and the water pump efficiency acquisition unit.
The device for calculating energy consumption of a chiller unit according to claim 4 or 5, wherein the cooling load prediction model is a data-driven model, a physical prediction model, or a combination of the data-driven model and the physical prediction model.
A chiller unit, comprising: at least a first chiller (1), a second chiller (2), a first water pump (15) provided corresponding to the first chiller, and a second water pump (25) provided corresponding to the second chiller, wherein first chiller input power and second chiller input power are calculated using the method for calculating energy consumption of a chiller unit according to any of claims 1 to 3.
A chiller unit, comprising: at least a first chiller (1), a second chiller (2), a first water pump (15) provided corresponding to the first chiller, a second water pump (25) provided corresponding to the second chiller, and the device for calculating energy consumption of a chiller unit according to any of claims 4 to 6.