CN114942584A - Efficient machine room energy-saving control method based on magnetic suspension water chilling unit load optimization - Google Patents
Efficient machine room energy-saving control method based on magnetic suspension water chilling unit load optimization Download PDFInfo
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- CN114942584A CN114942584A CN202210604072.1A CN202210604072A CN114942584A CN 114942584 A CN114942584 A CN 114942584A CN 202210604072 A CN202210604072 A CN 202210604072A CN 114942584 A CN114942584 A CN 114942584A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 98
- 239000000725 suspension Substances 0.000 title claims abstract description 37
- 238000005457 optimization Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000001816 cooling Methods 0.000 claims abstract description 73
- 239000000498 cooling water Substances 0.000 claims abstract description 34
- 238000013499 data model Methods 0.000 claims abstract description 32
- 238000007710 freezing Methods 0.000 claims abstract description 12
- 230000008014 freezing Effects 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 238000007667 floating Methods 0.000 claims description 7
- 238000005057 refrigeration Methods 0.000 claims description 6
- 230000004069 differentiation Effects 0.000 abstract description 3
- 230000010354 integration Effects 0.000 abstract description 3
- 238000009423 ventilation Methods 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B11/00—Automatic controllers
- G05B11/01—Automatic controllers electric
- G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
- G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P.I., P.I.D.
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20218—Modifications to facilitate cooling, ventilating, or heating using a liquid coolant without phase change in electronic enclosures
- H05K7/20272—Accessories for moving fluid, for expanding fluid, for connecting fluid conduits, for distributing fluid, for removing gas or for preventing leakage, e.g. pumps, tanks or manifolds
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20218—Modifications to facilitate cooling, ventilating, or heating using a liquid coolant without phase change in electronic enclosures
- H05K7/20281—Thermal management, e.g. liquid flow control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses a high-efficiency machine room energy-saving control method based on magnetic suspension cold water machine set load optimization in the technical field of subway ventilation air conditioners, which comprises the following steps, establishing a data model of the magnetic suspension water chilling unit, a data model of the refrigerating pump and the cooling pump and a data model of the cooling tower according to the requirements, by establishing a magnetic suspension water chiller group data model, a freezing pump data model, a cooling pump data model and a cooling tower data model and adopting digital PID (proportion integration differentiation) to adjust parameters for automatic optimization calculation on the basis, with the overall comprehensive energy efficiency ratio of the cold water machine room as a target, an optimal temperature difference set point of chilled water, an optimal temperature difference set point of cooling water and an optimal temperature approach set point of a wet bulb temperature of a cooling tower under the current working condition are calculated, then, the equipment of each loop is respectively controlled according to the traditional PID controller, so that the problems in the prior art are solved, and the method is creative.
Description
Technical Field
The invention relates to the technical field of subway ventilation air conditioners, in particular to a high-efficiency machine room energy-saving control method based on load optimization of a magnetic suspension water chilling unit.
Background
The subway becomes an indispensable traffic in urban rail transit, has the characteristics of safety, punctuality, rapidness, comfort and environmental protection, can realize huge transportation volume, and has the superiority incomparable with any traffic tool on the ground. Because the subway station has large pedestrian flow and large space and is built underground, a ventilation and air-conditioning system is required to be arranged to control the temperature and the humidity of the internal environment. There are two existing control methods: 1: logic chain start-stop control based on a programmable controller is adopted, and the logic chain start-stop control specifically comprises the following steps: the method mainly completes the functions of sequential start-stop, one-key start-stop, timing start-stop and start-stop logic chain protection of a water chilling unit, a chilled water pump, a cooling tower, a differential pressure bypass valve and an electric butterfly valve through a programmable controller, and provides equipment parameter and state display, but the method does not carry out variable frequency regulation on the chilled water pump, the cooling water pump and the cooling tower, and is not energy-saving; the load of the water chilling unit and the outlet water temperature of chilled water are not dynamically regulated, and the running efficiency of the unit is not high; meanwhile, outdoor air parameters are not collected and analyzed, the temperature approximation degree of the outlet water of the cooling tower is not controlled, and the operation efficiency of the cooling tower is not high; the power consumption conditions of a water chilling unit, a freezing water pump, a cooling water pump and a cooling tower are not collected, and the overall comprehensive energy efficiency of a water chilling machine room is not high; the characteristics of the magnetic suspension water chilling unit are not specially controlled and optimized, and the high energy efficiency characteristic of the magnetic suspension water chilling unit cannot be fully exerted; 2: the method adopts the variable flow control of the primary pump of the chilled water based on the programmable controller, is the same as the process, but realizes the variable frequency control of the chilled water pump, but does not carry out variable frequency regulation on the cooling water pump and the cooling tower, and does not save energy; the load of the water chilling unit and the outlet water temperature of chilled water are not dynamically regulated, and the running efficiency of the unit is not high; meanwhile, outdoor air parameters are not collected and analyzed, the temperature approximation degree of the outlet water of the cooling tower is not controlled, and the operation efficiency of the cooling tower is not high; the state regulation of the water chilling unit, the refrigeration water pump, the cooling water pump and the cooling tower are mutually independent, and the overall comprehensive energy efficiency of the water chilling machine room is not high; finally, the special control optimization is not carried out on the characteristics of the magnetic suspension water chilling unit, the high energy efficiency characteristic of the magnetic suspension water chilling unit cannot be fully exerted, but the working efficiency of the whole existing refrigeration machine room is low, and the energy consumption of the refrigeration machine room is large.
Disclosure of Invention
The invention aims to provide an efficient machine room energy-saving control method based on magnetic suspension water chilling unit load optimization, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the high-efficiency machine room energy-saving control method based on the magnetic suspension water chilling unit load optimization comprises the following steps:
s1: automatically calculating the outdoor wet bulb temperature according to the outdoor dry bulb temperature and the outdoor relative humidity acquired by the outdoor temperature and humidity sensor;
s2: establishing a data model of the magnetic suspension water chilling unit according to chilled water outlet temperature, chilled water inlet and outlet temperature difference, chilled water flow, cooling water inlet temperature, cooling water inlet and outlet temperature difference, cooling water flow, electric power and instantaneous COP data of the magnetic suspension water chilling unit;
s3: establishing a data model of the freezing pump and the cooling pump according to the frequency, the flow and the electric power data of the freezing pump and the cooling pump;
s4: establishing a data model of the cooling tower according to data of outdoor wet bulb temperature, wet bulb temperature approximation degree, cooling tower outlet water temperature, cooling water flow, cooling tower fan frequency and cooling tower electric power;
s5: by establishing a magnetic suspension water chiller group data model, a refrigerating pump data model, a cooling pump data model and a cooling tower data model, and taking the overall comprehensive energy efficiency ratio of a cold water machine room as a target, an optimal chilled water temperature difference set point, an optimal cooling water temperature difference set point and an optimal cooling tower wet bulb temperature approximation degree set point under the current working condition are calculated through active optimization calculation, and then equipment of each loop is respectively controlled according to a traditional PID controller.
Preferably, the active optimization calculation in step S5 adopts a digital PID adjusting parameter automatic optimization method.
Preferably, in the step S5, the outdoor wet bulb temperature approximation degree is used as a set value of the water temperature of the cooling tower water outlet main pipe, and the opening number and the fan frequency of the cooling tower are controlled; the cooling water approximation degree is higher than a set value, and the frequency of the cooling tower is increased; the cooling water approximation degree is lower than a set value, the frequency of the cooling tower is reduced, and the approximation degree set point of the cooling tower actively optimizes dynamic floating according to a control system.
Preferably, in the steps S1-S5, the operation efficiency of the magnetic suspension chiller is calculated in real time according to the overall load rate and the cooling water temperature of the magnetic suspension chiller room, a dynamic plus-minus strategy is formulated, and different ranges of the load rate of the magnetic suspension chiller room are set under different working conditions, so that the overall efficiency of the chiller room is still at the highest level after the operation number of the magnetic suspension chiller is increased or decreased.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, a magnetic suspension water chiller group data model, a freezing pump data model, a cooling pump data model and a cooling tower data model are established, automatic optimization calculation is carried out through digital PID (proportion integration differentiation) regulation parameters on the basis, the optimal chilled water temperature difference set point, the optimal cooling water temperature difference set point and the optimal cooling tower wet bulb temperature approximation degree set point under the current working condition are calculated by taking the integral comprehensive energy efficiency ratio of a water chiller room as a target, and then equipment of each loop is respectively controlled according to a traditional PID controller, so that the problems that the set values in the freezing pump frequency conversion control, the cooling pump frequency conversion control and the cooling tower frequency conversion control of a refrigeration machine room in the traditional scheme cannot dynamically float and the energy consumption of the equipment is high are solved; meanwhile, the problems that the traditional scheme does not dynamically adjust the load of the water chilling unit and the outlet water temperature of chilled water, and the running efficiency of the unit is low are solved; the problems that the traditional scheme does not acquire and analyze outdoor air parameters, does not control the temperature approximation degree of the outlet water of the cooling tower and has low operation efficiency of the cooling tower are solved; and finally, the problems that the state adjustment of a water chilling unit, a freezing water pump, a cooling water pump and a cooling tower is mutually independent and the overall comprehensive energy efficiency of a water chilling machine room is not high are solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the system control of the present invention;
FIG. 2 is a flow chart of a freeze pump control of the present invention;
FIG. 3 is a flow chart of a cooling pump control of the present invention;
FIG. 4 is a flow chart of the cooling tower control of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, the present invention provides a technical solution: the high-efficiency machine room energy-saving control method based on the magnetic suspension water chilling unit load optimization comprises the following steps:
s1: automatically calculating the outdoor wet bulb temperature according to the outdoor dry bulb temperature and the outdoor relative humidity acquired by the outdoor temperature and humidity sensor;
s2: establishing a data model of the magnetic suspension water chilling unit according to chilled water outlet temperature, chilled water inlet and outlet temperature difference, chilled water flow, cooling water inlet temperature, cooling water inlet and outlet temperature difference, cooling water flow, electric power and instantaneous COP data of the magnetic suspension water chilling unit;
s3: establishing a data model of the freezing pump and the cooling pump according to the frequency, the flow and the electric power data of the freezing pump and the cooling pump;
s4: establishing a data model of the cooling tower according to data of outdoor wet bulb temperature, wet bulb temperature approximation degree, cooling tower outlet water temperature, cooling water flow, cooling tower fan frequency and cooling tower electric power;
s5: by establishing a magnetic suspension water chiller group data model, a freezing pump data model, a cooling pump data model and a cooling tower data model, automatically optimizing and calculating by adopting digital PID (proportion integration differentiation) adjusting parameters on the basis, taking the integral comprehensive energy efficiency ratio of a water chiller room as a target, calculating an optimal chilled water temperature difference set point, an optimal cooling water temperature difference set point and an optimal cooling tower wet bulb temperature approximation set point under the current working condition, and then respectively controlling equipment of each loop according to a traditional PID controller.
As shown in fig. 2, the optimal temperature difference set point of the chilled water obtained by active optimization calculation is used as a control target, and the frequency of the frequency converter of the refrigeration pump is adjusted by adopting PID control; as shown in fig. 3, the optimal temperature difference set point of the cooling water obtained by active optimization calculation is taken as a control target, and the frequency of the frequency converter of the cooling pump is controlled and adjusted by adopting PID control; as shown in fig. 4, according to the optimal wet bulb temperature approximation degree set point of the cooling tower obtained by active optimization calculation as a control target, PID control is adopted to adjust the frequency of the frequency converter of the cooling tower, and the set value of the water temperature of the cooling tower is equal to the ambient wet bulb temperature plus the set value of the approximation degree of the cooling tower, and in step S5, the outdoor wet bulb temperature approximation degree is used as the set value of the water temperature of the water main pipe of the cooling tower, so as to control the opening number and the fan frequency of the cooling tower; the cooling water approximation degree is higher than a set value, and the frequency of the cooling tower is increased; the cooling water approximation degree is lower than a set value, the frequency of the cooling tower is reduced, the approximation degree set point of the cooling tower is dynamically floated according to the active optimization of a control system, namely, the optimal temperature difference set point of chilled water, the optimal temperature difference set point of cooling water and the optimal wet bulb temperature approximation degree set point of the cooling tower, the chilled water outlet water temperature set points of the unit are all dynamic floating set values which can be dynamically changed in real time according to the active optimization calculation result, the frequency of a frequency converter of a refrigerating pump is controlled and adjusted by adopting PID according to the optimal temperature difference set point of the chilled water of the dynamic floating set values, the frequency of a frequency converter of the cooling tower is controlled and adjusted by adopting PID according to the optimal temperature difference set point of the cooling water of the dynamic floating set values, and the chilled water outlet water temperature set points of the unit are all dynamic floating set values, controlling the outlet water temperature of the water chilling unit according to the unit chilled water outlet water temperature set point of the dynamic floating set value;
and S1-S5, calculating the operation efficiency of the magnetic suspension water chilling unit in real time according to the whole load rate of the machine room of the magnetic suspension water chilling unit and the temperature of cooling water, formulating a dynamic machine adding and subtracting strategy, and setting different load rate ranges of the refrigerating machine room under different working conditions so that the whole efficiency of the water chilling machine room is still at the highest level after the operation number of the magnetic suspension water chilling unit is increased or reduced.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The high-efficiency machine room energy-saving control method based on the magnetic suspension water chilling unit load optimization is characterized by comprising the following steps of:
s1: automatically calculating the outdoor wet bulb temperature according to the outdoor dry bulb temperature and the outdoor relative humidity acquired by the outdoor temperature and humidity sensor;
s2: establishing a data model of the magnetic suspension water chilling unit according to chilled water outlet temperature, chilled water inlet and outlet temperature difference, chilled water flow, cooling water inlet temperature, cooling water inlet and outlet temperature difference, cooling water flow, electric power and instantaneous COP data of the magnetic suspension water chilling unit;
s3: establishing a data model of the freezing pump and the cooling pump according to the frequency, the flow and the electric power data of the freezing pump and the cooling pump;
s4: establishing a data model of the cooling tower according to data of outdoor wet bulb temperature, wet bulb temperature approximation degree, cooling tower outlet water temperature, cooling water flow, cooling tower fan frequency and cooling tower electric power;
s5: by establishing a magnetic suspension water chiller group data model, a refrigeration pump data model, a cooling pump data model and a cooling tower data model, and by active optimization calculation on the basis, with the overall comprehensive energy efficiency ratio of a water chiller room as a target, an optimal chilled water temperature difference set point, an optimal cooling water temperature difference set point and an optimal cooling tower wet bulb temperature approximation set point under the current working condition are calculated, and then equipment of each loop is respectively controlled according to a traditional PID controller.
2. The efficient machine room energy-saving control method based on magnetic suspension chiller load optimization according to claim 1, characterized in that: in the step S5, the active optimization calculation adopts a digital PID adjusting parameter automatic optimization method.
3. The efficient machine room energy-saving control method based on magnetic suspension chiller load optimization according to claim 2, characterized in that: in the step S5, the outdoor wet bulb temperature approximation degree is used as a water temperature set value of a water outlet main pipe of the cooling tower, and the starting number and the fan frequency of the cooling tower are controlled; the cooling water approximation degree is higher than a set value, and the frequency of the cooling tower is increased; the cooling water approximation degree is lower than a set value, the frequency of the cooling tower is reduced, and the approximation degree set point of the cooling tower actively optimizes dynamic floating according to a control system.
4. The high-efficiency machine room energy-saving control method based on magnetic suspension chiller load optimization according to claim 1, characterized in that: in the steps S1-S5, the operation efficiency of the magnetic suspension water chilling unit is calculated in real time according to the whole load rate of the machine room of the magnetic suspension water chilling unit and the temperature of cooling water, a dynamic machine adding and subtracting strategy is formulated, different load rate ranges of the machine adding and subtracting of the refrigerating machine room are set under different working conditions, and the whole efficiency of the water chilling machine room is still at the highest level after the operation number of the magnetic suspension water chilling unit is increased or reduced.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115682357A (en) * | 2022-10-31 | 2023-02-03 | 广州施杰节能科技有限公司 | Approximation degree-centered cooling water optimization method and independent control system |
| CN116697530A (en) * | 2023-05-26 | 2023-09-05 | 南京福加自动化科技有限公司 | Efficient machine room self-adaptive energy-saving control system and method based on working condition prediction |
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2022
- 2022-05-31 CN CN202210604072.1A patent/CN114942584A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115682357A (en) * | 2022-10-31 | 2023-02-03 | 广州施杰节能科技有限公司 | Approximation degree-centered cooling water optimization method and independent control system |
| CN116697530A (en) * | 2023-05-26 | 2023-09-05 | 南京福加自动化科技有限公司 | Efficient machine room self-adaptive energy-saving control system and method based on working condition prediction |
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