CN108895620A - A kind of energy conservation optimizing method for central air-conditioning control - Google Patents
A kind of energy conservation optimizing method for central air-conditioning control Download PDFInfo
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- CN108895620A CN108895620A CN201810324891.4A CN201810324891A CN108895620A CN 108895620 A CN108895620 A CN 108895620A CN 201810324891 A CN201810324891 A CN 201810324891A CN 108895620 A CN108895620 A CN 108895620A
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- central air
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- energy conservation
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
Abstract
The invention discloses a kind of energy conservation optimizing methods for central air-conditioning control, include the following steps：It is that finite aggregate is fit by three kinds of host of central air-conditioning, refrigerant pipe and water circulating pump equipment group cooperations, establishes finite aggregate model；Establish the optimization object function and constraint condition in finite aggregate model between three kinds of equipment；Step SS3：The host of central air-conditioning, water circulating pump both equipment are matched at random, then several pairs of equipment for carrying out random pair formation central air-conditioning with refrigerant pipe again combine, the Optimized Iterative for carrying out utility function and fitness to the pairs of equipment combination calculates, preceding random pair again is calculated every time, after the number of iterations reaches operation threshold value, the utility function and fitness for calculating central air conditioning equipment, generate new aggregation model；Judge whether the new aggregation model obtained is in stable state.Each equipment transportation load of central air-conditioning of the invention realizes optimum control in terms of obtaining energy conservation, operational efficiency, maintenance cost.
Description
Technical field
The present invention relates to a kind of energy conservation optimizing methods for central air-conditioning control, belong to field of communication technology.
Background technique
The air regulator of central air-conditioning, that is, for building generally uses artificial means, to the temperature of surrounding air in building
The process that the parameters such as degree, humidity, cleanliness, speed are adjusted and control.Air-conditioning system is the important composition portion of modern architecture
Point, existing central air conditioning system is a lot of to the effect for adjusting room temperature and air humidity, but in intelligent and energy conservation
Control aspect Shortcomings.
Summary of the invention
It is an object of the present invention to overcome defect of the existing technology, above-mentioned technical problem is solved, proposes that one kind is used for
The energy conservation optimizing method of central air-conditioning control.
The present invention adopts the following technical scheme that：A kind of energy conservation optimizing method for central air-conditioning control, which is characterized in that
Include the following steps：
Step SS1：It is finite aggregate by three kinds of host of central air-conditioning, refrigerant pipe and water circulating pump equipment group cooperations
Body establishes finite aggregate model；
Step SS2：The optimization object function and constraint condition in finite aggregate model between three kinds of equipment are established, is optimized
Objective function includes the cost function of the cost function of environmental demand, the cost function of energy consumption, equipment operating efficiency；
Step SS3：The host of central air-conditioning, water circulating pump both equipment are matched at random, then again with refrigerant
Pipeline carries out several pairs of equipment combinations that random pair forms central air-conditioning, carries out utility function to the pairs of equipment combination
It is calculated with the Optimized Iterative of fitness, calculates preceding random pair again every time, after the number of iterations reaches operation threshold value, calculate center
The utility function and fitness of air-conditioning equipment, generate new aggregation model；
Step SS4：Whether the new aggregation model for judging that the step SS3 is obtained is in stable state；If new finite aggregate
Molding type is in stable state, then stops calculating；If new finite aggregate model is not yet in stable state, then return again into
The row step SS3, until new aggregation model is in stable state；Thus it obtains under stable state corresponding to optimization object function
Each cost function as optimal value, complete the energy saving optimizing of central air conditioning equipment.
As a kind of preferred embodiment, the finite aggregate model in the step SS1 uses following formula：
xi={ x1i, x2i, x3i} (1)
Wherein, i represents i-th operation, i=1,2 ..., N, and N is operation threshold value, xiIt is molded for the finite aggregate of i-th operation
Type, x1i、x2i、x3iThe respectively host changing value, refrigerant pipe changing value and water circulating pump changing value of i-th operation.
As a kind of preferred embodiment, the optimization object function in the step SS2 uses following formula：
V=min { f1(xi), f2(xi), f3(xi)} (2)
Wherein, V is optimization object function, f1(xi) it is the cost function for characterizing environmental demand, environmental demand is room temperature
With the ratio of outdoor temperature, f2(xi) it is the cost function for characterizing energy consumption, f3(xi) it is the cost letter for characterizing equipment operating efficiency
Number；
Above-mentioned f1(xi)、f2(xi)、f3(xi) following formula is respectively adopted is calculated：
Wherein, x1i、x2i、x3iRespectively the host changing value, refrigerant pipe changing value and water circulating pump of i-th operation become
Change value, i represent i-th operation.
As a kind of preferred embodiment, the constraint condition in the step SS2 uses following formula：
g(xi)≥0 (3)
Constraint function g (the xi) use following formula：
Wherein, x1i、x2i、x3iRespectively the host changing value, refrigerant pipe changing value and water circulating pump of i-th operation become
Change value, i represent i-th operation.
As a kind of preferred embodiment, in the step SS3, if the number of iterative calculation is not up to operation times threshold
Value, then the equipment in finite aggregate model carries out random pair and calculating again.
As a kind of preferred embodiment, the utility function in the step SS3 uses following formula：
Wherein, U (xi) it is the utility function that optimization calculates, m, n indicate the host, refrigerant pipe and water pump of central air-conditioning
In any appliance.
As a kind of preferred embodiment, the fitness in the step SS3 uses following formula：
Wherein, F (xi) it is fitness, N is operation times threshold value, piFor finite aggregate model xiIn equipment it is selected
Probability, U (xi) it is the utility function that optimization calculates.
As a kind of preferred embodiment, the operation times threshold value N=100.
The beneficial effects obtained by the present invention are as follows：The present invention is directed to existing central air conditioning system lack of wisdom and section
The function that can control, by the way that the host, refrigerant pipe and water circulating pump of central air-conditioning are defined as finite aggregate model, by repeatedly
The objective optimization function embodied for the cost function of the cost function of environmental demand, the cost function of energy consumption and equipment operating efficiency
The optimization method for seeking optimal solution solves the host of central air-conditioning, the demand size of refrigerant pipe and water circulating pump, realizes control
Each equipment transportation load of central air-conditioning realizes optimum control in terms of obtaining energy conservation, operational efficiency, maintenance cost, can significantly improve
The running optimizatin of each equipment of central air-conditioning controls, and reduces energy consumption, equipment operating cost, improves the energy conservation and environmental protection of central air-conditioning
Function.
Detailed description of the invention
Fig. 1 is a kind of flow chart of energy conservation optimizing method for central air-conditioning control of the invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Fig. 1 the flow chart of a kind of energy conservation optimizing method for central air-conditioning control of the invention, this hair
It is bright to propose a kind of energy conservation optimizing method for central air-conditioning control, include the following steps：
Step SS1：It is finite aggregate by three kinds of host of central air-conditioning, refrigerant pipe and water circulating pump equipment group cooperations
Body establishes finite aggregate model；
Step SS2：The optimization object function and constraint condition in finite aggregate model between three kinds of equipment are established, is optimized
Objective function includes the cost function of the cost function of environmental demand, the cost function of energy consumption, equipment operating efficiency；
Step SS3：The host of central air-conditioning, water circulating pump both equipment are matched at random, then again with refrigerant
Pipeline carries out several pairs of equipment combinations that random pair forms central air-conditioning, carries out utility function to the pairs of equipment combination
It is calculated with the Optimized Iterative of fitness, calculates preceding random pair again every time, after the number of iterations reaches operation threshold value, calculate center
The utility function and fitness of air-conditioning equipment, generate new aggregation model；
Step SS4：Whether the new aggregation model for judging that the step SS3 is obtained is in stable state；If new finite aggregate
Molding type is in stable state, then stops calculating；If new finite aggregate model is not yet in stable state, then return again into
The row step SS3, until new aggregation model is in stable state；Thus it obtains under stable state corresponding to optimization object function
Each cost function as optimal value, complete the energy saving optimizing of central air conditioning equipment.
As a kind of preferred embodiment, the finite aggregate model in the step SS1 uses following formula：
xi={ x1i, x2i, x3i} (1)
Wherein, i represents i-th operation, i=1,2 ..., N, and N is operation threshold value, xiIt is molded for the finite aggregate of i-th operation
Type, x1i、x2i、x3iThe respectively host changing value, refrigerant pipe changing value and water circulating pump changing value of i-th operation.
As a kind of preferred embodiment, the optimization object function in the step SS2 uses following formula：
V=min { f1(xi), f2(xi), f3(xi)} (2)
Wherein, V is optimization object function, f1(xi) it is the cost function for characterizing environmental demand, environmental demand is room temperature
With the ratio of outdoor temperature, f2(xi) it is the cost function for characterizing energy consumption, f3(xi) it is the cost letter for characterizing equipment operating efficiency
Number；
Above-mentioned f1(xi)、f2(xi)、f3(xi) following formula is respectively adopted is calculated：
Wherein, x1i、x2i、x3iRespectively the host changing value, refrigerant pipe changing value and water circulating pump of i-th operation become
Change value, i represent i-th operation.
As a kind of preferred embodiment, the constraint condition in the step SS2 uses following formula：
g(xi)≥0 (3)
Constraint function g (the xi) use following formula：
Wherein, x1i、x2i、x3iRespectively the host changing value, refrigerant pipe changing value and water circulating pump of i-th operation become
Change value, i represent i-th operation.
As a kind of preferred embodiment, in the step SS3, if the number of iterative calculation is not up to operation times threshold
Value, then the equipment in finite aggregate model carries out random pair and calculating again.
As a kind of preferred embodiment, the utility function in the step SS3 uses following formula：
Wherein, U (xi) it is the utility function that optimization calculates, m, n indicate the host, refrigerant pipe and water pump of central air-conditioning
In any appliance.
As a kind of preferred embodiment, the fitness in the step SS3 uses following formula：
Wherein, F (xi) it is fitness, N is operation times threshold value, piFor finite aggregate model xiIn equipment it is selected
Probability, U (xi) it is the utility function that optimization calculates.
As a kind of preferred embodiment, the operation times threshold value N=100.
The present invention is directed to the function of existing central air conditioning system lack of wisdom and Energy Saving Control, by will be central
Host, refrigerant pipe and the water circulating pump of air-conditioning are defined as finite aggregate model, pass through the cost function of iteration environmental demand, energy
The objective optimization function that the cost function of consumption and the cost function of equipment operating efficiency embody seeks the optimization method of optimal solution, asks
The host of central air-conditioning, the demand size of refrigerant pipe and water circulating pump are solved, realizes each equipment operation of control central air-conditioning
Amount realizes optimum control in terms of obtaining energy conservation, operational efficiency, maintenance cost, can significantly improve the fortune of each equipment of central air-conditioning
Row optimal control reduces energy consumption, equipment operating cost, improves the energy-saving environmental-protection function of central air-conditioning.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of energy conservation optimizing method for central air-conditioning control, which is characterized in that include the following steps：
Step SS1：It is that finite aggregate is fit by three kinds of host of central air-conditioning, refrigerant pipe and water circulating pump equipment group cooperations, builds
Vertical finite aggregate model；
Step SS2：Establish the optimization object function and constraint condition in finite aggregate model between three kinds of equipment, optimization aim
Function includes the cost function of the cost function of environmental demand, the cost function of energy consumption, equipment operating efficiency；
Step SS3：The host of central air-conditioning, water circulating pump both equipment are matched at random, then again with refrigerant pipe
Several pairs of equipment combinations for carrying out random pair formation central air-conditioning, carry out utility function to the pairs of equipment combination and fit
The Optimized Iterative of response calculates, and calculates preceding random pair again every time, after the number of iterations reaches operation threshold value, calculates central air-conditioning
The utility function and fitness of equipment, generate new aggregation model；
Step SS4：Whether the new aggregation model for judging that the step SS3 is obtained is in stable state；If new finite aggregate molding
Type is in stable state, then stops calculating；If new finite aggregate model is not yet in stable state, institute is re-started then returning
Step SS3 is stated, until new aggregation model is in stable state；Thus it obtains each corresponding to optimization object function under stable state
A cost function completes the energy saving optimizing of central air conditioning equipment as optimal value.
2. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that the step
Finite aggregate model in rapid SS1 uses following formula：
Xi={ X1i, X2i, X3i} (1)
Wherein, i represents i-th operation, i=1,2 ..., N, and N is operation threshold value, XiFor the finite aggregate model of i-th operation,
X1i、X2i、X3iHost changing value, refrigerant pipe changing value and the water circulating pump changing value of respectively the 1st time operation.
3. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that the step
The optimization object function in rapid SS2 uses following formula：
V=min { f1(Xi), f2(Xi), f3(Xi)} (2)
Wherein, V is optimization object function, f1(Xi) it is the cost function for characterizing environmental demand, environmental demand is room temperature and room
The ratio of outer temperature, f2(Xi) it is the cost function for characterizing energy consumption, f3(Xi) it is the cost function for characterizing equipment operating efficiency；
Above-mentioned f1(Xi)、f2(Xi)、f3(Xi) following formula is respectively adopted is calculated：
Wherein, X1i、X2i、X3iThe respectively host changing value, refrigerant pipe changing value and water circulating pump changing value of i-th operation,
I represents i-th operation.
4. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that the step
Constraint condition in rapid SS2 uses following formula：
g(Xi)≥0 (3)
Constraint function g (the Xi) use following formula：
Wherein, X1i、X2i、X3iThe respectively host changing value, refrigerant pipe changing value and water circulating pump changing value of i-th operation,
I represents i-th operation.
5. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that the step
In rapid SS3, if the number of iterative calculation is not up to operation times threshold value, the equipment in finite aggregate model carries out again random
Pairing and calculating.
6. a kind of energy conservation optimizing method for central air-conditioning control according to claim 3, which is characterized in that the step
Utility function in rapid SS3 uses following formula：
Wherein, U (Xi) it is the utility function that optimization calculates, m, n are indicated in the host, refrigerant pipe and water pump of central air-conditioning
Any appliance.
7. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that the step
Fitness in rapid SS3 uses following formula：
Wherein, f (Xi) it is fitness, N is operation times threshold value, piFor finite aggregate model XiIn the selected probability of equipment,
U(Xi) it is the utility function that optimization calculates.
8. a kind of energy conservation optimizing method for central air-conditioning control according to claim 1, which is characterized in that described
Operation times threshold value N=100.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102147146A (en) * | 2011-04-22 | 2011-08-10 | 黄真银 | Digital integrated intelligent control system of central air conditioner and adjusting method thereof |
| CN104539495A (en) * | 2015-01-23 | 2015-04-22 | 浙江大学 | Non-cooperative distributed optimization method for improving operating efficiency of building equipment |
| CN104573383A (en) * | 2015-01-23 | 2015-04-29 | 浙江大学 | Distributed evolution method suitable for comprehensive optimization model of building equipment |
| CN105135636A (en) * | 2015-09-12 | 2015-12-09 | 褚如圣 | Central air-conditioning variable flow optimization system |
-
2018
- 2018-04-12 CN CN201810324891.4A patent/CN108895620A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102147146A (en) * | 2011-04-22 | 2011-08-10 | 黄真银 | Digital integrated intelligent control system of central air conditioner and adjusting method thereof |
| CN104539495A (en) * | 2015-01-23 | 2015-04-22 | 浙江大学 | Non-cooperative distributed optimization method for improving operating efficiency of building equipment |
| CN104573383A (en) * | 2015-01-23 | 2015-04-29 | 浙江大学 | Distributed evolution method suitable for comprehensive optimization model of building equipment |
| CN105135636A (en) * | 2015-09-12 | 2015-12-09 | 褚如圣 | Central air-conditioning variable flow optimization system |
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Application publication date: 20181127 |