Calculation method and calculation device for energy consumption of water chilling unit and water chilling unit
By combining data-driven and physical model-based chiller energy consumption calculation methods, the problem of low chiller power prediction accuracy is solved, and efficient energy saving of the HVAC system is achieved.
Patent Information
- Application Number
- CN202410333704.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-21
- Publication Date
- 2025-09-23
AI Technical Summary
The existing chiller power prediction methods have the problem of low accuracy. In particular, the data-driven model relies on unstable data quality, and the physical model is complex and unsuitable for control applications, resulting in unsatisfactory energy saving effects for HVAC systems.
By combining data-driven models with physical models, high-precision energy consumption calculation is achieved through chiller load forecasting, load distribution, energy efficiency value acquisition and power calculation, combined with the characteristic curves of chillers and water pumps.
The accuracy of chiller power prediction and energy-saving effect are improved, and the robustness and accuracy of model predictive control are enhanced.
Smart Images
Figure CN120684775A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of refrigeration equipment, specifically to a method for predicting and calculating the energy consumption of a chiller consisting of multiple chillers, a device for predicting and calculating the energy consumption of a chiller, a chiller using the calculation method, and a chiller having the calculation device. Background Art
[0002] Centralized heating, ventilation and air conditioning (HVAC) systems are typically composed of multiple chillers, water pumps, cooling towers, and corresponding pipelines. Manual control or traditional PID control methods usually fail to achieve ideal energy-saving effects.
[0003] Model predictive control (MPC), as an intelligent control method, has the capabilities of self-adaptation, self-learning and self-coordination. It can perform global optimization control on complex HVAC systems to improve the performance and energy saving effect of chiller systems.
[0004] Among them, accurate prediction of chiller power is crucial for applying advanced control methods such as model predictive control (MPC) to building HVAC systems to achieve energy savings.
[0005] Existing chiller power prediction methods primarily use data-driven models and building-based physical models. However, data-driven models are highly dependent on the quality and availability of collected data, while building-based physical models are often complex and unsuitable for control-oriented applications. Summary of the Invention
[0006] In response to the above problems, the present application provides a method for calculating the energy consumption of a chiller, a chiller using the method for calculating the energy consumption of a chiller, a device for calculating the energy consumption of a chiller, and a chiller equipped with the device for calculating the energy consumption of a chiller, which can predict and calculate the power of the chiller with high precision and efficiency to solve the problems existing in the prior art.
[0007] A first aspect of the present application provides a method for calculating energy consumption of a chiller, which is used to calculate the energy consumption of a chiller, wherein the chiller includes at least a first chiller and a second chiller. The method for calculating energy consumption of the chiller of the present application includes:
[0008] a chiller load prediction step, predicting and outputting the total load of the chiller based on a preset chiller load prediction model;
[0009] a chiller load distribution step, distributing the total chiller load outputted in the chiller 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;
[0010] a chiller energy efficiency value obtaining step, according to a preset chiller load-energy efficiency relationship, based on the first chiller load and the second chiller load generated by the chiller load allocation step, correspondingly obtaining a first chiller energy efficiency value and a second chiller energy efficiency value;
[0011] The chiller power calculation step calculates the first chiller input power and the second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value obtained in the chiller energy efficiency value acquisition step.
[0012] As a preferred solution, the chiller energy consumption calculation method of the present application also includes:
[0013] a water pump load prediction step, predicting and outputting the total water pump load based on a preset cooling water load prediction model;
[0014] a water pump load distribution step, distributing the total water pump load to a first water pump corresponding to the first water chiller and a second water pump corresponding to the second water chiller according to the chiller load distribution logic;
[0015] a water pump efficiency obtaining step, obtaining a first water pump efficiency value and a second water pump efficiency value correspondingly based on the first water pump load and the second water pump load allocated in the water pump load allocation step according to a preset water pump load-efficiency curve;
[0016] The water pump power calculation step calculates the first water pump input power and the second water pump input power according to the output results of the water pump load distribution step and the water pump efficiency acquisition step.
[0017] As a preferred solution, the chiller load prediction model used in the chiller energy consumption calculation method of the present application is a data-driven model, a physical prediction model, or a combination of a data-driven model and a physical prediction model.
[0018] Another aspect of the present application provides a chiller energy consumption calculation device for calculating the energy consumption of a chiller including a first chiller and a second chiller, comprising:
[0019] A chiller load prediction unit, which predicts and outputs the total load of the chiller based on a preset chiller load prediction model;
[0020] a chiller load distribution unit, which distributes the total chiller load output by the chiller load prediction unit to the first chiller and the second chiller of the chiller according to a preset chiller load distribution logic;
[0021] a chiller energy efficiency value acquiring unit, which acquires a first chiller energy efficiency value and a second chiller energy efficiency value based on the first chiller load and the second chiller load outputted by the chiller load allocating unit according to a preset chiller load-energy efficiency relationship;
[0022] The chiller power calculation unit calculates the first chiller input power and the 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.
[0023] As a preferred solution, the chiller energy consumption calculation device of the present application may further include:
[0024] A water pump load prediction unit, which predicts and outputs the total water pump load based on a preset cooling water load prediction model;
[0025] a water pump load distribution unit, which distributes the total water pump load to a first water pump corresponding to the first water chiller and a second water pump corresponding to the second water chiller according to the chiller load distribution logic;
[0026] a water pump efficiency acquisition unit, which acquires a first water pump efficiency value and a second water pump efficiency value according to a preset water pump load-efficiency curve and based on the first water pump load and the second water pump load allocated by the water pump load allocation unit;
[0027] The water pump power calculation unit calculates the first water pump input power and the second water pump input power according to the output results of the water pump load distribution unit and the water pump efficiency acquisition unit.
[0028] A third aspect of the present application further provides a chiller comprising at least a first chiller and a second chiller, and a first water pump corresponding to the first chiller and a second water pump corresponding to the second chiller. The chiller of the present application calculates the input power of the first chiller and the input power of the second chiller using the chiller energy consumption calculation method provided in the first aspect of the present application.
[0029] As a preferred solution, the chiller of the present application is also provided with the chiller energy consumption calculation device provided in the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 This is a schematic diagram of the chiller system of this application.
[0031] Figure 2 This is a schematic diagram of the steps of the chiller energy consumption prediction calculation method of this application.
[0032] Figure 3 It is a schematic diagram of the chiller load-energy efficiency curve of this application.
[0033] Figure 4 This is another schematic diagram of the steps of the chiller energy consumption prediction calculation method of this application.
[0034] Figure 5 This is a schematic diagram of the water pump load-efficiency curve of this application.
[0035] Figure 6 This is a schematic diagram of the module of the chiller energy consumption calculation device of this application.
[0036] Figure 7 Another module diagram of the chiller energy consumption calculation device of this application
[0037] Reference numerals:
[0038] First chiller 1; second chiller 2; third chiller 3; first compressor 11; second compressor 21; third compressor 31; first condenser 12; second condenser 22; third condenser 32; first expansion valve 13; second expansion valve 33; third expansion valve 33; first evaporator 14; second evaporator 24; third evaporator 34; first water pump 15; user terminal 16; second water pump 25; third water pump 35. DETAILED DESCRIPTION
[0039] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0040] Those skilled in the art are aware that in order to apply advanced control methods such as model predictive control (MPC) to centralized HVAC building systems, generally speaking, there are two forms of using physical building models and data-driven models to predict the cooling load or heating load of centralized HVAC building systems.
[0041] Physical building models are constructed by capturing information such as building type, number of floors, thermal performance of the building envelope, climate zone, meteorological parameters, location, orientation, geometry, area, and occupancy density. Energy consumption simulation and analysis are then performed to optimize energy consumption. However, physical building models are often very complex, diverse, and computationally intensive, making them unsuitable for control-oriented applications.
[0042] The data-driven model obtains historical load data, outdoor dry-bulb temperature, outdoor relative humidity, outdoor dew point temperature, wind speed, wind direction, cloud cover, atmospheric pressure, and other historical meteorological parameters, as well as weather or time-latitude feature data such as weather forecasts, month, day attributes, and hour. Based on this data, algorithms such as multi-dimensional clustering, multi-step input and multi-step output, and attention mechanisms are used to construct a training sample database, establish a data-driven prediction model, train the model, and then evaluate the trained model. The evaluated model is then used to predict the chiller load. However, data-driven models are highly dependent on the quality and availability of collected data. In practice, the operating data of different chillers can vary in quality, resulting in poor data quality, which can lead to inaccurate chiller load predictions.
[0043] Among these, accurate prediction of the input power of the chiller is crucial for realizing model predictive control (MPC) of centralized HVAC systems and improving energy saving effects.
[0044] The chiller involved in the chiller energy consumption prediction and calculation method and the chiller energy consumption prediction and calculation device of the present application is composed of multiple chillers. The following is an example of a chiller composed of three chillers.
[0045] Figure 1 This is a system diagram of the chiller involved in this application. Figure 1 As shown, the chiller consists of a first chiller 1, a second chiller 2, and a third chiller 3, wherein 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 to form a refrigerant circulation loop. The high-temperature and high-pressure refrigerant discharged from the first compressor 11 exchanges heat with an external medium (such as water or air) in the first condenser 12. After being decompressed and expanded by the first expansion valve 13, it exchanges heat with an external medium (such as water) in the first evaporator 14. After absorbing heat from the external medium (such as water) in the first evaporator 14, it enters the first compressor 11 for compression and temperature increase, and the cycle continues. The external medium (such as water) in the first evaporator 14 absorbs heat and is cooled to form low-temperature cold water of a predetermined temperature. After being driven by the first water pump 15, it is supplied to the user terminal 16 and returns to the first evaporator 14 for circulation after absorbing heat at the user terminal 16.
[0046] 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 (e.g., water) in the second evaporator 24 absorbs heat and is cooled to form low-temperature cold water of a predetermined temperature. The water is then driven by a second water pump 25 and supplied to the user terminal 16. After the water is absorbed by the user terminal 16, the water is returned to the second evaporator 24 for circulation. 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 (e.g., water) in the third evaporator 34 absorbs heat and is cooled to form low-temperature cold water of a predetermined temperature. The water is then driven by a third water pump 35 and supplied to the user terminal 16. After the water is absorbed by the user terminal 16, the water is returned to the third evaporator 34 for circulation.
[0047] The working principles of chiller 2 and chiller 3 are basically the same as those of chiller 1 and will not be described in detail here.
[0048] In addition, the compressors 11, 21, and 31 in the first chiller 1, the second chiller 2, and the third chiller 3 involved in this application may be screw, scroll, or centrifugal, or any combination thereof, and the type of refrigerant used is not particularly limited.
[0049] The following is based on Figure 1 The chiller described above is used as an example to illustrate the energy consumption prediction calculation method of the chiller in this application.
[0050] <First embodiment>
[0051] Figure 2 1 is a schematic diagram of the steps of the chiller energy consumption prediction calculation method of the present application. First, in the chiller load prediction step, based on the preset data-driven model (i.e., the chiller load prediction model), the total chiller load Q is predicted and generated, that is, the total load that the user terminal 16 needs to provide. Then, in the chiller load distribution step, according to the preset chiller load distribution logic, the total chiller load Q output by the chiller 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.
[0052] Subsequently, in the chiller energy efficiency value acquisition step, according to the 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 allocated and generated in the chiller load allocation step, the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 are respectively obtained.
[0053] In the subsequent chiller power calculation step, the first chiller input power P1, the second chiller input power P2 and the third chiller input power P3 are calculated based on the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 obtained in the chiller energy efficiency value acquisition step.
[0054] Figure 3 Taking the first chiller 1 as an example, the load-efficiency curve diagram of the chiller under specific working conditions is shown. Figure 3 As shown, after the first chiller load Q1 is generated in the chiller load distribution step, the first chiller energy efficiency value COP1 corresponding to the first chiller load Q1 can be obtained by referring to the corresponding operating conditions (for example, including the evaporator inlet water temperature, the condenser inlet water temperature, the outside air temperature, etc.), and the first chiller input power P1 can be calculated based on this.
[0055] Because the load-energy efficiency relationship of the chiller, that is, the equipment characteristic curve, is preset with corresponding data when the chiller leaves the factory, according to the above calculation method, the first chiller input power P1 can be accurately obtained with the simplest calculation amount.
[0056] 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 based on this. The second chiller energy efficiency value COP3 corresponding to the third chiller load Q3 can also be calculated, and the second chiller input power P3 can be calculated based on this.
[0057] The preset chiller load distribution logic may be an optimal chiller loading (OCL) distribution logic, which aims to maximize the overall efficiency of the chiller and minimize energy consumption by rationally distributing the load to each chiller. For example, a multi-phase genetic algorithm (MPGA) or a Lagrangian algorithm may be employed, without particular limitation. As long as the total chiller load Q can be distributed into a first chiller load Q1, a second chiller load Q2, and a third chiller load Q3 according to the preset chiller load distribution logic, the chiller load can be sufficient.
[0058] Table 1 shows specific examples of energy efficiency values and input powers of various chillers calculated according to the chiller energy consumption prediction calculation method of the present application, taking the total load Q of the chiller as 1500kW as an example.
[0059] Table 1
[0060]
[0061] Preferably, in the step of summarizing and calculating the chiller input power, the first chiller input power P1, the second chiller input power P2, and the third chiller input power P3 can be further calculated to obtain the total power consumption value P of the chiller. For example, 322.23 kW shown in Table 1 is the total power consumption value P of the chiller.
[0062] In addition, in the embodiment of the present application, Figure 2 The load-energy efficiency relationship data of the chiller is illustrated as an example, but it is not limited to the COP characteristic curve. The energy efficiency ratio EER characteristic curve can also be used as the load-energy efficiency relationship data of the chiller.
[0063] At the same time, regardless of 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 chiller's compressor, pipe valve controller, fan, etc., or only the power of the compressor alone as the input power, without the need for special restrictions.
[0064] Therefore, according to the chiller energy consumption prediction calculation method of the present application, by utilizing the characteristic curves of each chiller, the accuracy of chiller power prediction can be greatly improved compared to a purely data-driven model.
[0065] Because the cooling load of a building on 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 of the chiller on the supply side (such as chilled water temperature, chiller load rate, etc.), using a data-driven model to predict the cooling load of a building requires fewer variables than predicting the energy consumption of the chiller, and the prediction results are more reliable. At the same time, the chiller energy consumption prediction calculation method of this application combines the building cooling load prediction value obtained using the data-driven model with accurate chiller characteristic curve data, thereby making the energy consumption prediction of the chiller more accurate.
[0066] <Second embodiment>
[0067] Figure 4 This is another schematic diagram of the steps of the chiller energy consumption prediction calculation method of the present application.
[0068] The chiller involved in this embodiment is the same as that of the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and are not repeated here.
[0069] First, in the pump load prediction step, the total pump load q is predicted and output based on a pre-set pump load prediction model. The total pump load q is related to the total chiller load Q (i.e., the building's cooling load) and the chiller's control variables that need to be optimized (such as the chilled water temperature setpoint and the supply / return water pressure differential setpoint). Therefore, the pump load prediction model requires the cooling load Q and the relevant chiller's control variables as input to determine the total pump load q.
[0070] Then, a water pump load distribution step is executed, i.e., according to a preset chiller load distribution logic, the total water pump load q 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. Furthermore, in the water pump efficiency acquisition step, 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 allocated in the water pump load distribution 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.
[0071] The water pump power calculation step calculates the first water pump input power p1 , the second water pump input power p2 , and the third water pump input power p3 according to the output results of the water pump load distribution step and the water pump efficiency acquisition step.
[0072] Figure 5 Taking the first water pump 15 as an example, the water pump load-efficiency curve diagram is shown. Figure 5 As shown, after the water pump load distribution step completes the distribution of the first water pump load q1, the second water pump load q2 and the third water pump load q3, the water pump load-efficiency curve corresponding to the first water pump 15 can be referred to to obtain the first water pump efficiency value η1 corresponding to the first water pump load q1, and the first water pump input power p1 can be calculated based on this.
[0073] Because the water pump load-efficiency relationship is the equipment characteristic curve of the water pump, and the corresponding data is preset when the water pump leaves the factory, the first water pump input power p1 can be accurately obtained using the simplest calculation method according to the above calculation method.
[0074] Similarly, according to the above steps, the second water pump efficiency value η2 corresponding to the second water pump load q2 can be simply obtained, and the second water pump input power p2 can be calculated based on this. The third water pump efficiency value η3 corresponding to the third water pump load q3 can also be simply obtained, and the second water pump input power p3 can be calculated based on this.
[0075] Table 2 shows the flow load distribution and pump efficiency of each pump, using a total pump load q of 300 kg / s for the chiller's total load Q as an example. The corresponding input power for each pump can be calculated using the following formula.
[0076] Pump input power = flow load × head × medium density ÷ 3600 ÷ pump efficiency
[0077] Table 2
[0078] First water pump 15 Second water pump 25 The third water pump 35 Traffic load 180kg / s 120kg / s 0kg / s Pump efficiency 0.8 0.7 0
[0079] As a preference, Figure 3 As shown, after obtaining the input power values of the respective water pumps, the first water pump input power p1, the second water pump input power p2 and the third water pump input power p3 can be calculated in the water pump power summary calculation step to obtain the total water pump power consumption value p.
[0080] The calculation of the water pump input power is described above using the water pump flow-efficiency curve as an example. However, the present application is not limited to this. The water pump flow-power curve can also be used to calculate the water pump input power, as long as the water pump flow-power curve data is available when the water pump leaves the factory. In this case, the water pump efficiency acquisition step in the above embodiment can be omitted, and the corresponding data can be directly captured according to the preset water pump flow-power curve in the water pump power calculation step.
[0081] In addition, the characteristic curves of water pumps 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 application.
[0082] Therefore, according to the chiller energy consumption prediction calculation method of the present application, by utilizing the preset water pump characteristic curve, the input power of each water pump can be accurately calculated and obtained, which can help improve the accuracy of water pump power prediction compared to a purely data-driven model.
[0083] <Third embodiment>
[0084] A third embodiment of the present application provides a chiller energy consumption calculation device for calculating the energy consumption of a chiller including a first chiller 1 , a second chiller 2 and a third chiller 3 .
[0085] The chiller involved in this embodiment is the same as that of the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and are not repeated here.
[0086] Figure 6 It is a schematic diagram of the module of the chiller energy consumption calculation device.
[0087] like Figure 6As shown, the chiller load prediction unit predicts and generates the total chiller load Q based on a preset data-driven model (i.e., the chiller load prediction model), i.e., the total load that needs to be provided to the user terminal 16. The total chiller load Q is then output to the chiller load distribution unit. According to a preset chiller load distribution logic (stored in a chiller load distribution logic unit not shown), the total chiller load Q output by the chiller 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.
[0088] Subsequently, in the chiller energy efficiency value acquisition unit, according to the 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 allocated and generated by the chiller load distribution unit, the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 are respectively obtained.
[0089] In the subsequent chiller power calculation unit, the first chiller input power P1, the second chiller input power P2 and the third chiller input power P3 are calculated based on the first chiller energy efficiency value COP1, the second chiller energy efficiency value COP2 and the third chiller energy efficiency value COP3 obtained from the chiller energy efficiency value acquisition unit.
[0090] By utilizing the characteristic curves of each chiller, the accuracy of chiller power prediction can be significantly improved compared to a purely data-driven model. Furthermore, the chiller energy consumption prediction calculation method of this application is also more robust than a purely data-driven approach.
[0091] <Fourth embodiment>
[0092] A fourth embodiment of the present application provides a chiller energy consumption calculation device for calculating the energy consumption of a chiller including a first chiller 1 , a second chiller 2 and a third chiller 3 .
[0093] The chiller involved in this embodiment is the same as that of the first embodiment. The same parts as those in the first embodiment are described using the same reference numerals and are not repeated here.
[0094] Figure 7 It is a schematic diagram of the module of the chiller energy consumption calculation device.
[0095] like Figure 7As shown, the water pump load prediction unit predicts and outputs the total water pump load q based on a preset chiller load prediction model; the water pump load distribution unit distributes the total water pump load q 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; the water pump efficiency acquisition unit obtains the first water pump efficiency value η1, the second water pump load q1, the second water pump load q2 and the third water pump load q3 allocated by the water pump load distribution unit according to the preset pump load-efficiency curve; the water pump power calculation unit calculates the first water pump input power p1, the second water pump input power p2 and the third water pump input power p3 according to the output results of the water pump load distribution unit and the water pump efficiency acquisition unit.
[0096] Therefore, according to the chiller energy consumption prediction and calculation device of the present application, by utilizing the preset water pump characteristic curve, the input power of each water pump can be accurately calculated and obtained, which can help improve the accuracy of water pump power prediction compared to a pure data-driven model.
[0097] Because the cooling load of a building on 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 of the chiller on the supply side (such as chilled water temperature, chiller load rate, etc.), using a data-driven model to predict building cooling load requires fewer variables than predicting chiller energy consumption, and the prediction results are more reliable. At the same time, the chiller energy consumption prediction of this application combines building cooling load prediction with accurate chiller characteristic curve data, making the energy consumption prediction of the chiller unit more accurate.
[0098] The above is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.
Claims
1. A method for calculating energy consumption of a chiller, for calculating the energy consumption of a chiller comprising at least a first chiller and a second chiller, characterized in that: include: a chiller load prediction step, predicting and outputting the total load of the chiller based on a preset chiller load prediction model; a chiller load distribution step, distributing the total chiller load outputted in the chiller 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 obtaining step, according to a preset chiller load-energy efficiency relationship, based on the first chiller load and the second chiller load generated by the chiller load allocation step, correspondingly obtaining a first chiller energy efficiency value and a second chiller energy efficiency value; The chiller power calculation step calculates the first chiller input power and the second chiller input power according to the first chiller energy efficiency value and the second chiller energy efficiency value obtained in the chiller energy efficiency value obtaining step.
2. The method for calculating energy consumption of a chiller according to claim 1, which is used to calculate the power consumption of a first water pump corresponding to the first chiller and a second water pump corresponding to the second chiller, wherein: Also includes: a water pump load prediction step, predicting and outputting the total water pump load based on a preset cooling water load prediction model; a water pump load distribution step, distributing the total water pump load to a first water pump corresponding to the first water chiller and a second water pump corresponding to the second water chiller according to the chiller load distribution logic; a water pump efficiency obtaining step, obtaining the first water pump efficiency value and the second water pump efficiency value accordingly based on the first water pump load and the second water pump load allocated in the water pump load allocation step according to a preset water pump load-efficiency curve; The water pump power calculation step calculates the first water pump input power and the second water pump input power according to the output results of the water pump load distribution step and the water pump efficiency acquisition step.
3. The method for calculating energy consumption of a chiller according to any one of claims 1 or 2, characterized in that: The chilled water load prediction model is a data-driven model, or a physical prediction model, or a combination of the data-driven model and the physical prediction model.
4. A chiller energy consumption calculation device for calculating the energy consumption of a chiller comprising a first chiller and a second chiller, characterized in that: include: A chiller load prediction unit, which predicts and outputs the total load of the chiller based on a preset chiller load prediction model; a chiller load distribution unit, which distributes the total chiller load output by the chiller load prediction unit to the first chiller and the second chiller of the chiller according to a preset chiller load distribution logic; a chiller energy efficiency value acquisition unit, which acquires a first chiller energy efficiency value and a second chiller energy efficiency value based on the first chiller load and the second chiller load output by the chiller load distribution unit according to a preset chiller load-energy efficiency relationship; The chiller power calculation unit calculates the first chiller input power and the 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.
5. The chiller energy consumption calculation device according to claim 4, used to calculate the power consumption of a first water pump corresponding to the first chiller and a second water pump corresponding to the second chiller, characterized in that: Also includes: A water pump load prediction unit, which predicts and outputs the total water pump load based on a preset cooling water load prediction model; a water pump load distribution unit, which distributes the total water pump load to a first water pump corresponding to the first water chiller and a second water pump corresponding to the second water chiller according to the chiller load distribution logic; a water pump efficiency acquisition unit, configured to acquire the first water pump efficiency value and the second water pump efficiency value based on the first water pump load and the second water pump load allocated by the water pump load allocation unit according to a preset water pump load-efficiency curve; The water pump power calculation unit calculates the first water pump input power and the second water pump input power according to the output results of the water pump load distribution unit and the water pump efficiency acquisition unit.
6. The chiller energy consumption calculation device according to any one of claims 4 or 5, characterized in that: The chilled water load prediction model is a data-driven model, or a physical prediction model, or a combination of the data-driven model and the physical prediction model.
7. A chiller comprising at least a first chiller and a second chiller, and a first water pump corresponding to the first chiller and a second water pump corresponding to the second chiller, characterized in that: The chiller energy consumption calculation method according to any one of claims 1 to 3 is used to calculate the first chiller input power and the second chiller input power.
8. A chiller comprising at least a first chiller and a second chiller, and a first water pump corresponding to the first chiller and a second water pump corresponding to the second chiller, characterized in that: A chiller energy consumption calculation device comprising the device described in any one of claims 4 to 6.