CN212720195U - Cooling water system control device based on system overall energy efficiency ratio COP is best - Google Patents
Cooling water system control device based on system overall energy efficiency ratio COP is best Download PDFInfo
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- CN212720195U CN212720195U CN202021362253.0U CN202021362253U CN212720195U CN 212720195 U CN212720195 U CN 212720195U CN 202021362253 U CN202021362253 U CN 202021362253U CN 212720195 U CN212720195 U CN 212720195U
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Abstract
The utility model discloses a cooling water system control device based on the best COP (coefficient of performance) of the overall energy efficiency ratio of a system, which relates to the technical field of energy conservation of central air conditioners and mainly aims to solve the defects of the existing energy-saving control technology; the system comprises a central energy efficiency controller, a distributed intelligent controller, a cooling water pump energy-saving control device, a cooling tower energy-saving control device and a refrigeration host energy-saving control acquisition device, wherein the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host energy-saving control acquisition device are respectively connected with a cooling water pump, a cooling tower fan and a refrigeration host in a control mode; the utility model discloses set out from cooling water pump to whole central air conditioning system's influence, improve cooling water pump operating frequency through the key and realize air conditioning system's whole energy-conservation. On the basis, the cooling tower or the refrigeration host can be controlled to operate to be matched with the cooling water pump, so that the overall energy-saving effect of the air-conditioning system is better.
Description
Technical Field
The utility model relates to a central air conditioning energy saving technology field specifically is a cooling water system controlling means based on the whole efficiency ratio COP of system is best.
Background
The central air conditioning system is composed of one or more cold and heat source systems and a plurality of air conditioning systems, and the system is different from the traditional refrigerant type air conditioner, and the air is intensively treated (such as a single machine, VRV) to achieve the comfort requirement. The principle of liquid gasification refrigeration is adopted to provide the required cold energy for the air conditioning system so as to offset the heat load of the indoor environment; the heating system provides the air conditioning system with the required heat to offset the indoor environment cooling and heating load. The refrigeration system is a vital part of the central air-conditioning system, and the type, the operation mode, the structural form and the like of the refrigeration system directly influence the economical efficiency, the high efficiency and the rationality of the central air-conditioning system in operation.
The energy consumption of the central air conditioner is always the most concerned problem, and people accumulate the experience of decades on the energy consumption management of the central air conditioner to summarize a scientific and effective energy consumption solution and a mathematical control model, but the energy consumption solution and the mathematical control model are still insufficient, and the optimal energy-saving effect cannot be obtained by controlling a cooling water system.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a cooling water system controlling means based on the whole energy efficiency ratio COP of system is best to solve above-mentioned problem.
In order to achieve the above object, the utility model provides a following technical scheme:
a cooling water system control device based on the best COP (coefficient of performance) of the overall energy efficiency ratio of a system comprises a central energy efficiency controller, a distributed intelligent controller, a cooling water pump energy-saving control device, a cooling tower energy-saving control device and a refrigeration host energy-saving control acquisition device, wherein the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host energy-saving control acquisition device are connected with the central energy efficiency controller and receive an instruction sent by the central energy efficiency controller; and the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host are respectively provided with a distributed intelligent controller in an embedded mode, and the distributed intelligent controllers are connected with the central energy efficiency controller.
On the basis of the technical scheme, the utility model discloses still provide following optional technical scheme:
in one alternative: the sensors connected with the distributed intelligent controller comprise a temperature sensor, a pressure sensor, a flow sensor and a power sensor, wherein,
the distributed intelligent controller embedded in the cooling tower energy-saving control device is connected with an outdoor temperature sensor arranged outdoors and feeds back the outdoor temperature to the central energy efficiency controller;
a water supply and return port of the cooling water pump is provided with a temperature sensor, a pressure sensor and a flow sensor, wherein the temperature sensor, the pressure sensor and the flow sensor are connected with a distributed intelligent controller embedded in the energy-saving control device of the cooling water pump and feed back the water supply and return temperature, pressure and flow of the cooling water pump to the central energy efficiency controller;
and a power sensor is arranged in the energy-saving acquisition device of the refrigeration host, and the power sensor is connected with a distributed intelligent controller embedded in the energy-saving acquisition device of the refrigeration host and feeds back the output power of the refrigeration host to the central energy efficiency controller.
In one alternative: and frequency converters are respectively arranged on the cooling water pump energy-saving device and the cooling tower fan energy-saving device.
In one alternative: the frequency converter arranged on the cooling water pump energy-saving device is connected with the intelligent distribution controller embedded in the cooling water pump energy-saving device, and the cooling water pump energy-saving device controls the cooling water pump to operate through the frequency converter according to the instruction sent by the central energy efficiency controller.
In one alternative: the frequency converter arranged on the cooling tower energy-saving control device is connected with the intelligent distributed controller embedded in the cooling tower energy-saving control device, and the cooling tower energy-saving control device controls the cooling tower fan to operate through the frequency converter according to the instruction sent by the central energy efficiency controller.
In one alternative: the energy-saving collection device of the refrigeration host is provided with a host communicator, the host communicator is connected between a distributed intelligent controller embedded in the energy-saving collection device of the refrigeration host and the refrigeration host, and the energy-saving collection device of the refrigeration host controls the refrigeration host to operate through the host communicator according to an instruction sent by the central energy efficiency controller.
In one alternative: the central energy efficiency controller and the distributed intelligent controllers comprise a CPU, a communication module, a data acquisition module, a display module and an intelligent control unit, and the CPU, the communication module, the data acquisition module, the display module and the intelligent control unit are embedded in the central energy efficiency controller and the distributed intelligent controllers.
In one alternative: the central energy efficiency controller and the distributed intelligent controller are one of an embedded platform, a PLC and an industrial personal computer.
In one alternative: and the sensor connected with the distributed intelligent controller sends working condition parameter data to the central energy efficiency controller through a TCP/IP protocol of the distributed intelligent controller.
Compared with the prior art, the beneficial effects of the utility model are as follows:
1. the utility model discloses set out from cooling water pump to whole central air conditioning system's influence, improve cooling water pump operating frequency through the key and realize air conditioning system's whole energy-conservation. On the basis, the cooling tower or the refrigeration host can be controlled to operate to be matched with the cooling water pump to operate, so that the overall energy-saving effect of the air-conditioning system is better;
2. the utility model discloses a data processing device introduces global optimization network, with the help of global optimization network to the processing advantage of nonlinear complex data, can match out the energy-conserving tactics that accord with current system refrigeration demand automatically, has that the processing speed is fast, advantage that operating efficiency is high;
3. the utility model discloses compact structure has, and control performance is good, and is energy-conserving effectual.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
Fig. 2 is a schematic diagram of the basic idea of energy-saving optimization control of cooling water in the embodiment of the present invention.
Fig. 3 is a flowchart of the operation of the embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to the following embodiments, wherein like or similar elements are designated by like reference numerals throughout the drawings or description, and wherein the shape, thickness or height of the various elements may be expanded or reduced in practical applications. The embodiments of the present invention are provided only for illustration, and not for limiting the scope of the present invention. Any obvious and obvious modifications or alterations to the present invention can be made without departing from the spirit and scope of the present invention.
Referring to fig. 1, in an embodiment of the present invention, a cooling water system control device based on the best overall system energy efficiency ratio COP includes a central energy efficiency controller, a distributed intelligent controller, a cooling water pump energy-saving control device, a cooling tower energy-saving control device, and a refrigeration host energy-saving control acquisition device, where the cooling water pump energy-saving control device, the cooling tower energy-saving control device, and the refrigeration host energy-saving control acquisition device are connected to the central energy efficiency controller and receive an instruction sent by the central energy efficiency controller, and the cooling water pump energy-saving control device, the cooling tower energy-saving control device, and the refrigeration host energy-saving control acquisition device are respectively connected to a cooling water pump, a cooling tower fan, and a refrigeration host; the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host section are respectively embedded with a distributed intelligent controller, and the distributed intelligent controllers are connected with the central energy efficiency controller;
the sensors connected with the distributed intelligent controller comprise a temperature sensor, a pressure sensor, a flow sensor and a power sensor, wherein,
the distributed intelligent controller embedded in the cooling tower energy-saving control device is connected with an outdoor temperature sensor arranged outdoors and feeds back the outdoor temperature to the central energy efficiency controller;
a water supply and return port of the cooling water pump is provided with a temperature sensor, a pressure sensor and a flow sensor, wherein the temperature sensor, the pressure sensor and the flow sensor are connected with a distributed intelligent controller embedded in the energy-saving control device of the cooling water pump and feed back the water supply and return temperature, pressure and flow of the cooling water pump to the central energy efficiency controller;
and a power sensor is arranged in the energy-saving acquisition device of the refrigeration host, and the power sensor is connected with a distributed intelligent controller embedded in the energy-saving acquisition device of the refrigeration host and feeds back the output power of the refrigeration host to the central energy efficiency controller.
And frequency converters are respectively arranged on the cooling water pump energy-saving device and the cooling tower fan energy-saving device.
The frequency converter arranged on the cooling water pump energy-saving device is connected with the intelligent distribution controller embedded in the cooling water pump energy-saving device, and the cooling water pump energy-saving device controls the cooling water pump to operate through the frequency converter according to the instruction sent by the central energy efficiency controller.
The frequency converter arranged on the cooling tower energy-saving control device is connected with the intelligent distributed controller embedded in the cooling tower energy-saving control device, and the cooling tower energy-saving control device controls the cooling tower fan to operate through the frequency converter according to the instruction sent by the central energy efficiency controller.
The energy-saving collection device of the refrigeration host is provided with a host communicator, the host communicator is connected between a distributed intelligent controller embedded in the energy-saving collection device of the refrigeration host and the refrigeration host, and the energy-saving collection device of the refrigeration host controls the refrigeration host to operate through the host communicator according to an instruction sent by the central energy efficiency controller.
The central energy efficiency controller and the distributed intelligent controllers comprise a CPU, a communication module, a data acquisition module, a display module and an intelligent control unit, and the CPU, the communication module, the data acquisition module, the display module and the intelligent control unit are embedded in the central energy efficiency controller and the distributed intelligent controllers.
The central energy efficiency controller and the distributed intelligent controller are embedded platforms, PLC or industrial personal computers.
And the sensor connected with the distributed intelligent controller sends working condition parameter data to the central energy efficiency controller through a TCP/IP protocol of the distributed intelligent controller.
The utility model discloses a theory of operation is: sensor parameters are respectively acquired through a distributed intelligent controller, a central energy efficiency controller is respectively connected with the distributed intelligent controller and sends working condition parameter data to the distributed intelligent controller, a cooling water pump energy-saving control device, a cooling tower energy-saving control device and a refrigeration host energy-saving control acquisition device are respectively connected with a cooling water pump, a cooling tower fan and a refrigeration host and receive instructions sent by the central energy efficiency controller, and then the cooling tower, the cooling water pump and the refrigeration host are controlled to operate according to the instructions sent by the central energy efficiency controller, so that the overall energy-saving effect of the air-conditioning system is better;
specifically, as shown in fig. 2, how the central energy efficiency controller controls the cooling tower, the cooling water pump, and the refrigeration main machine to operate can obtain a better energy saving effect, that is, the lowest energy consumption solution of the refrigeration main machine, the cooling pump, and the cooling tower fan is obtained, and the process is as follows:
(1) optimum temperature of cooling water
The operation of the chiller is not advantageous because the cooling water temperature TC is too high or too low. It is therefore conceivable that between the maximum and minimum permissible cooling water temperatures, there must be a temperature that optimizes the system performance and minimizes the energy consumption, i.e. the optimal cooling water temperature TCm;
however, under various outdoor meteorological conditions and various different load conditions of the water chilling unit all the year round, the optimal temperature TCm of the cooling water is not a fixed and unchangeable temperature and is changed along with the comprehensive influence of various factors;
the optimization control of the cooling water system aims to find the optimal temperature TCm under the variable load working condition, and adjust the number or the rotating speed of cooling water pumps and cooling tower fans according to the optimal temperature TCm, so that the cooling water system operates at the temperature value, the energy efficiency ratio COPs of the whole air conditioning system is highest, and the total energy consumption is lowest;
total power consumed by the air conditioning refrigeration system: N-N1 + N2+ N3
N1: the power consumed by the chiller compressor; n2: the power consumed by the chilled water pump; n3: power consumed by a cooling water pump and a cooling tower fan;
the power N2 consumed by the chilled water pump generally depends on air conditioner load and service quality control, and is independent of the temperature of cooling water, so that the minimum point of (N1+ N3) is actually the lowest point of the total power N of the system;
(2) cooling water energy-saving optimization control basic idea
The coefficient of performance COPs of an air conditioning refrigeration system is a function of the chilled water temperature TD and the cooling water temperature TC.
COPs=f4(Td,Tc)
And finding the optimal temperature TCm point of the cooling water is to find the maximum value of the energy efficiency ratios COPs of the refrigerating system under the load factor.
With the change of the load rate, the energy efficiency ratios COPs of the refrigeration systems also change, but under each load rate, an optimal temperature TCm point of cooling water always exists, so that the energy efficiency ratios COPs of the systems reach the maximum value under the load rate;
therefore, only need to solveThe cooling water temperature TCm required under various load (various TD values) conditions corresponding to the maximum value COPsm can be obtained;
TCm is the cooling water temperature value at the midpoint of the heat exchange tube of the condenser, and is (TC1+ TC 2)/2;
then, comparing the actually measured cooling water temperature value with the TCm, and adjusting the cooling water flow and the cooling tower air volume according to the deviation and the deviation change rate of the cooling water temperature value to enable the actual cooling water temperature value to gradually tend to and be equal to the TCm, so that the energy efficiency ratio of the air-conditioning refrigeration system under the load rate reaches the maximum value COPsm, and the total power consumption N of the system is reduced to the minimum;
(3) cooling water energy-saving optimization control principle
The optimal temperature TCm value of the cooling water has close relation with the flow GC of the cooling water, the temperature Tv of the outdoor air wet bulb and the air volume Gf of the fan of the cooling tower, namely:
corresponding to each TD and Tv, the required optimal temperature TCm of the cooling water can be obtained by only reasonably adjusting the flow GC of the cooling water and the air volume Gf of a fan of the cooling tower, so that the maximization of the performance coefficient COPs of the refrigerating system and the economic and energy-saving operation of the whole air-conditioning refrigerating system are realized.
Further, as shown in fig. 3, during specific work, by collecting key operation parameters of the system in real time (host load, cooling water inlet temperature, outdoor temperature and humidity), matching and comparing the key operation parameters with an expert database, searching for an optimal value of the optimal temperature of the cooling water, if a matching mode exists, taking the optimal value data as an initial teaching mode, if no matching mode exists, performing adaptive control algorithm calculation processing, searching for an optimal value, and through a self-learning function of the database, simultaneously storing optimal energy-saving working condition parameters of current working condition operation to the expert database, correspondingly adjusting a cooling water pump and a cooling fan, and simultaneously storing system COPs and related parameters under the working condition to the expert database;
when the system enters the working condition in the later operation, if the total energy consumption of the refrigerating machine and the cooling water pump is higher than the optimal numerical value in the database, the system is adjusted according to the optimal energy-saving working condition parameters in the database, and after the system is stabilized, the optimal energy-saving working condition parameters in the database are replaced by the working condition parameters in the operation at the moment for adjustment; if the total energy consumption of the refrigerator and the cooling water pump is lower than the optimal value in the database, the system updates relevant parameters in the database according to the total energy consumption, and the self-optimization function is realized.
The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present disclosure, and all the changes or substitutions should be covered within the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (9)
1. A cooling water system control device based on the best COP (coefficient of performance) of the overall energy efficiency ratio of a system is characterized by comprising a central energy efficiency controller, a distribution intelligent controller, a cooling water pump energy-saving control device, a cooling tower energy-saving control device and a refrigeration host energy-saving control acquisition device, wherein the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host energy-saving control acquisition device are connected with the central energy efficiency controller and receive an instruction sent by the central energy efficiency controller; and the cooling water pump energy-saving control device, the cooling tower energy-saving control device and the refrigeration host are respectively provided with a distributed intelligent controller in an embedded mode, and the distributed intelligent controllers are connected with the central energy efficiency controller.
2. The control device for a cooling water system with optimal COP based on the overall energy efficiency ratio of the system according to claim 1, wherein the sensors connected with the distributed intelligent controller comprise a temperature sensor, a pressure sensor, a flow sensor and a power sensor, wherein,
the distributed intelligent controller embedded in the cooling tower energy-saving control device is connected with an outdoor temperature sensor arranged outdoors and feeds back the outdoor temperature to the central energy efficiency controller;
a water supply and return port of the cooling water pump is provided with a temperature sensor, a pressure sensor and a flow sensor, wherein the temperature sensor, the pressure sensor and the flow sensor are connected with a distributed intelligent controller embedded in the energy-saving control device of the cooling water pump and feed back the water supply and return temperature, pressure and flow of the cooling water pump to the central energy efficiency controller;
and a power sensor is arranged in the energy-saving acquisition device of the refrigeration host, and the power sensor is connected with a distributed intelligent controller embedded in the energy-saving acquisition device of the refrigeration host and feeds back the output power of the refrigeration host to the central energy efficiency controller.
3. The cooling water system control device based on the system overall energy efficiency ratio COP is optimal according to claim 2, wherein a sensor connected with the distributed intelligent controller sends working condition parameter data to the central energy efficiency controller through a TCP/IP protocol of the distributed intelligent controller.
4. The cooling water system control device based on the system overall energy efficiency ratio COP is optimal according to claim 1, wherein frequency converters are respectively arranged on the cooling water pump energy-saving device and the cooling tower fan energy-saving device.
5. The cooling water system control device based on the system overall energy efficiency ratio COP is optimal according to claim 4, wherein the frequency converter arranged on the cooling water pump energy saving device is connected with a distributed intelligent controller embedded in the cooling water pump energy saving device, and the cooling water pump energy saving device controls the cooling water pump to operate through the frequency converter according to a command sent by the central energy efficiency controller.
6. The cooling water system control device with the optimal COP (coefficient of performance) based on the overall energy efficiency ratio of the system as claimed in claim 5, wherein the frequency converter arranged on the cooling tower energy-saving control device is connected with the distributed intelligent controller embedded in the cooling tower energy-saving control device, and the cooling tower energy-saving control device controls the operation of a cooling tower fan through the frequency converter according to the instruction sent by the central energy efficiency controller.
7. The cooling water system control device based on the system overall energy efficiency ratio COP is characterized in that a host communicator is arranged on the refrigeration host energy-saving acquisition device, the host communicator is connected between a distributed intelligent controller embedded in the refrigeration host energy-saving acquisition device and the refrigeration host, and the refrigeration host energy-saving acquisition device controls the refrigeration host to operate through the host communicator according to a command sent by the central energy efficiency controller.
8. The control device for the cooling water system based on the system overall energy efficiency ratio COP optimum according to any one of claims 1 to 7, wherein the central energy efficiency controller and the distributed intelligent controller comprise a CPU, a communication module, a data acquisition module, a display module and an intelligent control unit, and the CPU, the communication module, the data acquisition module, the display module and the intelligent control unit are embedded in the central energy efficiency controller and the distributed intelligent controller.
9. The cooling water system control device with the optimal COP (coefficient of performance) based on the overall energy efficiency ratio of the system as claimed in claim 8, wherein the central energy efficiency controller and the distributed intelligent controller are one of an embedded platform, a PLC (programmable logic controller) and an industrial personal computer.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2022213494A1 (en) * | 2021-04-07 | 2022-10-13 | 厦门邑通智能科技集团有限公司 | Energy-saving control method, system and device for water chilling unit of central air conditioner |
CN115235052A (en) * | 2022-07-27 | 2022-10-25 | 广州市铭汉科技股份有限公司 | Automatic adjusting control system of water chiller |
CN115235051A (en) * | 2022-07-27 | 2022-10-25 | 广州市铭汉科技股份有限公司 | Double-control type efficient cooling water control system |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022213494A1 (en) * | 2021-04-07 | 2022-10-13 | 厦门邑通智能科技集团有限公司 | Energy-saving control method, system and device for water chilling unit of central air conditioner |
CN115235052A (en) * | 2022-07-27 | 2022-10-25 | 广州市铭汉科技股份有限公司 | Automatic adjusting control system of water chiller |
CN115235051A (en) * | 2022-07-27 | 2022-10-25 | 广州市铭汉科技股份有限公司 | Double-control type efficient cooling water control system |
CN115235051B (en) * | 2022-07-27 | 2023-03-14 | 广州市铭汉科技股份有限公司 | Double-control cooling water control system |
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