CN108320042A - The optimization method and device of circulation - Google Patents
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Abstract
The present invention provides the optimization methods of circulation, belong to industrial control field, including：The selected equipment history data from circulation, establishes correlation model；Mechanism model corresponding with circulation is built, the calculated results is obtained, the calculated results is corrected in conjunction with the equipment actual operating data got in conjunction with correlation model according to the specific operating mode of equipment in circulation；Circulating water system optimization model is built, under constraints, determines the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition.By being constraint with recirculated water total flow, refrigerating capacity load, the minimum target of circulation total energy consumption, build circulating water system optimization model, the operation reserve for providing best recirculated water scheduling scheme, blower fan of cooling tower operation scheme, water circulating pump and handpiece Water Chilling Units is calculated by optimizing, operation is finally optimized to circulation with artificial or control system, keeps circulation comprehensive energy consumption minimum.
Description
Technical field
The invention belongs to industrial control fields, the more particularly to optimization method and device of circulation.
Background technology
Equipment one of of the circulation as major industrial production enterprise-essential, enables water to recycle, and ensures enterprise day
Often production, but also caused the high energy consumption waste problem to become increasingly conspicuous simultaneously.In the actual production process, for most of feelings
Condition, circulation are always at sub-load, i.e. the power of circulation be always at less than in the case of rated power into
Row.Opposite, the operational management measure of support and fining due to lacking theoretical calculation, manufacturing enterprise is often still using full
The stan dard running model of load leads to a large amount of energy waste, while it is energy saving to be confined to monomer, adjusts single parameter by rule of thumb,
Thorough Energy Saving Strategy is not formulated from whole system, the low situation of running efficiency of system is not improved.
In terms of industrial enterprise's circulating water system optimization, main patented technology has：
(1) a kind of optimization method of industrial circulating water system (CN201510049980.9)；
(2) the global optimization power-economizing method (CN201410408389.3) of circulation.
Patent (1) mainly provides a kind of circulating water pipe net prioritization scheme, has considered the pressure needed for each water equipment
The operating pressure etc. of the pressure of recirculated water pipe network, the physical constraint condition of live water equipment, recirculated water supervisor's net in head, device
Factor, the technology can optimize usingwater network, the spy for providing the optimal scheduling scheme of cycle water consumption, but being not directed to device itself
Property, it includes that the emphasis such as blower fan of cooling tower, handpiece Water Chilling Units are asked with the comprehensive energy consumption of energy equipment that can not consider circulation
Topic.
Patent (2) mainly provides a kind of global optimization modification scheme of circulation, by eliminating unreasonable cause
High energy consumption, reached energy-saving effect, increased scrap build expense.And analyzed based on the parameter acquired on the spot, it does not examine
Consider real-time parameter uncertainty, device history operation data is not carried out adequately using with excavation, do not pass through establish system
The mathematical model of system gives theory support.
Invention content
In order to solve shortcoming and defect existing in the prior art, the present invention provides for building optimization object function,
And then object function is solved under the constraints including contents such as energy consumption, Material Cost, unit efficiencies, it is final to determine to following
The optimization method and device for the optimisation strategy that ring water system is implemented.
In order to reach above-mentioned technical purpose, on the one hand, the present invention provides the optimization method of circulation, the optimization
Method, including：
The selected equipment history data from circulation establishes flow-electric current correlation model, according to what is got
Equipment real time data carries out real-time update to correlation model；
According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, structure and circulation
Corresponding mechanism model obtains the calculated results about flow in circulation, temperature, real in conjunction with the equipment got
Border operation data is corrected the calculated results；
Circulating water system optimization model is built, under recirculated water total flow, the constraints of refrigerating capacity load, determines and ensures
The Optimal Operation Strategies of circulation under circulation total energy consumption minimal condition, optimizing application operation reserve is to circulating water
System optimizes processing.
Optionally, the optimization method further includes：
Operating parameter in circulation is analyzed, is determined and the relevant adjustable ginseng of key of circulation energy consumption
Number carries out sensitivity analysis to crucial adjustable parameter, determines the key parameter for influencing that energy consumption is influenced in circulation；
Key parameter in circulation is adjusted.
Optionally, the operating parameter in circulation is analyzed, and determination is related to circulation energy consumption
Crucial adjustable parameter, to crucial adjustable parameter carry out sensitivity analysis, determine influence circulation in influence energy consumption pass
Bond parameter, including：
According to the mathematical model of circulation, using Sobol methods to influence each crucial adjustable parameter of system energy consumption into
Line sensitivity is analyzed, and the expression formula as described in formula (1) to (5) is obtained, and most sensitive factor is searched according to expression formula；
STj=Σ S (i) (5)
In formula：D indicates variance, SiIt is expressed as 1 susceptibility, SijFor 2 susceptibilitys, and so on, S1,2,…,nFor n times
Susceptibility, STjFor total susceptibility of i-th of parameter.
Optionally, the selected equipment history data from circulation establishes flow-electric current correlation model,
Including：
Obtain the device history data in circulation；
Based on least square method, flow-electric current correlation model I corresponding with circulation is establishedi=Li×ai+bi,
I in formulai、LiElectric current, the flow of each equipment, a are indicated respectivelyi、biFor the fitting coefficient of correlation model；
Build sum of squared errors function
yj=Li*ai+bi (7)
Formula (7), which is substituted into formula (6), to be obtained：
By formula (8) respectively to ai、biPartial derivative is sought, it is enabled to be equal to 0, is obtained with the model of formula (6) minimum " optimized criterion "
Fitting coefficient.
Optionally, the specific operating mode according to equipment in circulation, in conjunction with updated correlation model, structure with
The corresponding mechanism model of circulation obtains the calculated results about flow in circulation, temperature, in conjunction with acquisition
To equipment actual operating data the calculated results are corrected, including：
According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, to cold in circulation
But Tower System is modeled, and mathematical modeling is carried out to the water chilling unit system in circulation；
Mechanism model based on cooling tower systems and water chilling unit system, in conjunction with the experience of water circulating pump, blower fan of cooling tower
Model, using sequential modular approach, obtain include flow, temperature the calculated results, according to equipment actual operating data, progress
The calculated results carry out accounting correction.
Optionally, described that cooling tower in circulating water system system is modeled, including：
It includes the modeling parameters including mass balance, heat balance, efficiency of cooling tower to obtain cooling tower systems；
Determine the corresponding parameter expression of each modeling parameters.
Optionally, the water chilling unit system in circulation carries out mathematical modeling, including：
It obtains including water chilling unit system includes compressor, condenser, electronic throttle, evaporator, refrigeration system
Modeling parameters；
Determine the corresponding parameter expression of each modeling parameters.
Optionally, the structure circulating water system optimization model, in recirculated water total flow, the constraints of refrigerating capacity load
Under, determine the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, including：
Structure makes the comprehensive energy consumption of entire circulation in the case where ensureing recirculated water supply with refrigeration capacity requirement
Minimum object function
Wherein, Pfan,i、Ppumpcw,i、Prefri,iRespectively i-th of blower fan of cooling tower, water circulating pump, the electric work for freezing unit
Rate；PtotalFor the synthesis electrical power of entire circulation, each plant electrical power is calculated based on system mathematic model；
Build the constraints including material balance, energy balance, device constraint, efficiency constraints, efficiency constraints；
Based on constraints, above-mentioned object function row is solved using Nonlinear Programming Method, acquisition includes recirculated water optimization
The Optimal Operation Strategies of scheduling scheme, blower fan of cooling tower optimization operation scheme, water circulating pump and handpiece Water Chilling Units.
On the other hand, the present embodiment also proposed the optimization device of circulation, the optimization device, including：
Data acquisition module establishes flow-electric current association for the selected equipment history data from circulation
Model carries out real-time update according to the equipment real time data got to correlation model；
Data processing module, for according to the specific operating mode of equipment in circulation, in conjunction with updated correlation model,
Corresponding with the circulation mechanism model of structure obtains, about the calculated results of flow in circulation, temperature, tying
The equipment actual operating data got is closed to be corrected the calculated results；
Data-optimized module, for building circulating water system optimization model, in recirculated water total flow, the pact of refrigerating capacity load
Under the conditions of beam, the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, optimizing application are determined
Operation reserve optimizes processing to circulation.
Optionally, the data processing module, is additionally operable to：
Operating parameter in circulation is analyzed, is determined and the relevant adjustable ginseng of key of circulation energy consumption
Number carries out sensitivity analysis to crucial adjustable parameter, determines the key parameter for influencing that energy consumption is influenced in circulation；
Key parameter in circulation is adjusted.
The advantageous effect that technical solution provided by the invention is brought is：
By being constraint with recirculated water total flow, refrigerating capacity load, the minimum target of circulation total energy consumption, structure follows
Ring water system optimization model provides best recirculated water scheduling scheme, blower fan of cooling tower operation scheme, cycle by optimizing to calculate
The operation reserve of water pump and handpiece Water Chilling Units finally optimizes operation to circulation with artificial or control system, makes cycle
Water system comprehensive energy consumption is minimum.
Description of the drawings
It, below will be to attached drawing needed in embodiment description in order to illustrate more clearly of technical scheme of the present invention
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is the flow diagram of the optimization method of circulation provided by the invention；
Fig. 2 is the structural schematic diagram of the optimization device of circulation provided by the invention；
Fig. 3 is the process flow diagram of the circulation of certain chemical enterprise provided by the invention；
Fig. 4 is the Optimizing Suggestions scheme signal provided by the invention for executing and being obtained after the optimization method that the present embodiment proposes
Figure.
Specific implementation mode
To keep structure of the invention and advantage clearer, the structure of the present invention is made further below in conjunction with attached drawing
Description.
Embodiment one
In order to reach above-mentioned technical purpose, the present invention provides the optimization methods of circulation, as shown in Figure 1, described
Optimization method, including：
11, the selected equipment history data from circulation establishes flow-electric current correlation model, according to acquisition
The equipment real time data arrived carries out real-time update to correlation model；
12, according to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, structure and circulating water
It unites corresponding mechanism model, obtains the calculated results about flow in circulation, temperature, the equipment in conjunction with getting
Actual operating data is corrected the calculated results；
13, circulating water system optimization model is built, under recirculated water total flow, the constraints of refrigerating capacity load, is determined
Ensure the Optimal Operation Strategies of circulation under circulation total energy consumption minimal condition, optimizing application operation reserve is to cycle
Water system optimizes processing.
In force, the present invention provides a kind of optimization method and devices of circulation, to overcome in the prior art,
Due to lacking the management system of theoretical calculation model and entirety, fining Operations Management can not be carried out to circulation and is led
The energy waste problem of cause.Specifically include the following steps：
Lookup analysis is carried out by each operating parameter to circulation, is obtained and the relevant adjustable ginseng of key of energy consumption
Number；History data based on blower fan of cooling tower, water circulating pump is built respectively by data fitting methods such as least square methods
The correlation model of vertical corresponding flow and electric current, and model is updated by real time data；With the flow of each equipment and electricity
Based on the empirical model of stream, according to equipment concrete structure and operating mode, the exact mechanism model of circulation is established, obtains stream
Amount, temperature scheduling theory result of calculation, and actual operating data is compared, accounting correction is carried out to model；With recirculated water total flow, system
Cold load is constraint, and the minimum target of circulation total energy consumption builds circulating water system optimization model, is calculated by optimizing
Provide the operation reserve of best recirculated water scheduling scheme, blower fan of cooling tower operation scheme, water circulating pump and handpiece Water Chilling Units；To go through
Based on history operation data, in conjunction with the special circumstances of produce reality, the feasibility of recirculated water prioritization scheme is judged, and can be artificial right
Individual deviation data are corrected；It is feasible in recirculated water prioritization scheme, it is detected by stable state, is with artificial or control
System optimizes operation to circulation, keeps circulation comprehensive energy consumption minimum.
Optionally, the optimization method further includes：
Operating parameter in circulation is analyzed, is determined and the relevant adjustable ginseng of key of circulation energy consumption
Number carries out sensitivity analysis to crucial adjustable parameter, determines the key parameter for influencing that energy consumption is influenced in circulation；
Key parameter in circulation is adjusted.
In force, further include joining to key other than the method described above optimized in a manner of modeling
The step of number is adjusted provides to achieve the effect that advanced optimize to circulation for daily production adjusting
With reference to.
In order to realize that the step of key parameter is adjusted include：
According to the mathematical model of circulation, using Sobol methods to influence each crucial adjustable parameter of system energy consumption into
Line sensitivity is analyzed, and the expression formula as described in formula (1) to (5) is obtained, and most sensitive factor is searched according to expression formula；
STj=∑ S(i) (5)
In formula：D indicates variance, SiIt is expressed as 1 susceptibility, SijFor 2 susceptibilitys, and so on, S1,2,…,nFor n times
Susceptibility, STjFor total susceptibility of i-th of parameter.
In force, common global sensitivity analysis method has image factoring, RSA, FAST, Sobol, Extend
The methods of FAST, GLUE.Wherein, Sobol methods have many advantages, such as that form is simple, it is easy to calculate, and are the most representative overall situations
Sensitivity Analysis is answered in the sensitivity analysis of the Hydro-Model Parameter Calibration Technologies such as TOPMODEL, SWAT, SACSMA
With.Sobol methods are the most effective sides of the single sensitivity to parameter and multi-parameter interaction sensibility of evaluating lumped model
Method.
Optionally, the selected equipment history data from circulation establishes flow-electric current correlation model,
Including：
Obtain the device history data in circulation；
Based on least square method, flow-electric current correlation model I corresponding with circulation is establishedi=Li×ai+bi,
I in formulai、LiElectric current, the flow of each equipment, a are indicated respectivelyi、biFor the fitting coefficient of correlation model；
Build sum of squared errors function
yj=Li*ai+bi (7)
Formula (7), which is substituted into formula (6), to be obtained：
By formula (8) respectively to ai、biPartial derivative is sought, it is enabled to be equal to 0, is obtained with the model of formula (6) minimum " optimized criterion "
Fitting coefficient.
In force, the step of proposing to need to establish flow-electric current key model in step 11, specifically in this step
History data based on circulation, by data fitting methods such as least square methods, establish respectively blower fan of cooling tower,
The flow of water circulating pump and the correlation model of electric current.Convert fitting problems to the minimal point problem for seeking sum of squared errors function.
By formula (8) respectively to ai、biPartial derivative is sought, it is enabled to be equal to 0, can get the models fitting system with formula (6) minimum " optimized criterion "
Number.
Since the air quantity of cooling tower is larger with ambient temperature and humidity fluctuating range, the model parameter of air quantity and wind turbine electric current is unstable
It is fixed, the update and correction of model need to be also carried out by the real-time running data of wind turbine.
Optionally, the specific operating mode according to equipment in circulation, in conjunction with updated correlation model, structure with
The corresponding mechanism model of circulation obtains the calculated results about flow in circulation, temperature, in conjunction with acquisition
To equipment actual operating data the calculated results are corrected, including：
According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, to cold in circulation
But Tower System is modeled, and mathematical modeling is carried out to the water chilling unit system in circulation；
Mechanism model based on cooling tower systems and water chilling unit system, in conjunction with the experience of water circulating pump, blower fan of cooling tower
Model, using sequential modular approach, obtain include flow, temperature the calculated results, according to equipment actual operating data, progress
The calculated results carry out accounting correction.
In force, it proposes to build mechanism model corresponding with circulation in step 12, specifically include to recirculated water
Cooling tower systems and water chilling unit system in system are modeled respectively.
Specifically, being modeled to cooling tower in circulating water system system, need from mass balance, heat balance, cooling
Three aspect of column efficiency is modeled,
Wherein, for mass balance, the expression formula of structure is：
mw,i-mw,o=ma(wa,o-wa,i) (9)
In formula：mw,iIndicate cooling water circling water flow rate, mw,oFor cooling water flow, maFor into tower air mass flow, wa,o
For the water capacity of outlet air, wa,iFor the water capacity of inlet air.
For heat balance, the expression formula of structure is：
mw,i×Cp,w×(Tw,i-Tref)-Qcell=mw,o×Cp,w×(Tw,o-Tref) (10)
In formula：Cp,wIndicate the specific heat of cooling water, Tw,iFor the return water temperature of cooling water, TrefFor the reference temperature (0 of water
DEG C), Tw,oFor the supply water temperature of cooling water.
Qcell=ma(ha,o-ha,i) (11)
In formula：ha,oIndicate outlet air enthalpy, ha,iIndicate inlet air enthalpy.
Efficiency of cooling tower：
In formula：N indicates cooling number, h "2For the saturated air enthalpy under supply water temperature, h1For into tower air enthalpy, h "mFor
Saturated air enthalpy under average temperature, hmFor the air enthalpy under average temperature, h "1For the saturated air enthalpy under return water temperature
Value, h2To go out tower air enthalpy, k is heat gain coefficient.
Mathematical modeling is carried out to the water chilling unit system in circulation, is needed from compressor, condenser, electronic throttle
Valve, evaporator, five aspect of refrigeration system are modeled.
For compressor, the expression formula of structure is：
Pi=qm×(H2-H1)+QC (13)
In formula：PiIndicate the electrical power of compressor i, qmFor the mass flow of refrigerant, H2It is refrigerant in compressor outlet
Enthalpy, H1It is refrigerant in the enthalpy of compressor inlet, QCThe heat outwardly distributed within the compressor for unit time refrigerant
Amount.
For condenser, the expression formula of structure is：
Qk=qm×(H2-H3) (14)
In formula：QkIndicate the heat that unit interval refrigerant outwardly distributes within the condenser, H3It is refrigerant in condenser
The enthalpy of outlet.
For electronic throttle, the expression formula of structure is：
0=qm×(H1-H3) (15)
For evaporator, the expression formula of structure is：
Q0=qm×(H1-H4) (16)
In formula：Q0Indicate refrigerating capacity.
For refrigeration system, the expression formula of structure is：
Q0+Pi=Qk+QC (17)
Based on the mechanism model of the cooling tower systems and water chilling unit system, along with water circulating pump, cooling tower wind
The empirical model of machine establishes the mathematics of entire circulation using sequential modular approach according to each equipment concrete structure and operating mode
Model obtains flow, temperature scheduling theory result of calculation, and compares actual operating data, carries out the accounting correction of model.
Optionally, the structure circulating water system optimization model, in recirculated water total flow, the constraints of refrigerating capacity load
Under, determine the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, including：
The target of circulating water system optimization is to make entirely to follow in the case where ensureing recirculated water supply with refrigeration capacity requirement
The comprehensive energy consumption of ring water system is minimum.
Therefore under the premise of this, structure can characterize the object function of the requirement, and expression formula is：
In formula：Pfan,i、Ppumpcw,i、Prefri,iRespectively i-th of blower fan of cooling tower, water circulating pump, the electric work for freezing unit
Rate；PtotalFor the synthesis electrical power of entire circulation, each plant electrical power is calculated based on system mathematic model.
After object function is built, need to solve the object function under default constraints, pact here
Beam condition includes material balance constraint, energy balance constraint, device constraint, efficiency constraints, constraint of demand totally five aspect.
Specifically, material balance constraint includes：
For entire circulation：∑(Fa,in-Fa,out)=0 (19)
For each sub- equipment：∑(Fi,in-Fi,out)=0 (20)
In formula：Fa,inIndicate the air intake amount of circulation, Fa,outIndicate the air outlet slit amount of circulation,
Fi,inIndicate the material i entrance amounts of each sub- equipment of circulation, Fi,outIndicate the outlets material i of each sub- equipment of circulation
Amount.
Energy balance constraint expression formula：∑(Fi,in×Hi,in-Fi,out×Hi,out-Wi-Qi)=0 (21)
In formula：Hi,inIndicate the material i entrance enthalpies of each sub- equipment of circulation, Hi,outIndicate each son of circulation
The material i of equipment exports enthalpy, and W is externally acting, QiFor energy loss.
Device constraint specifically include be assigned to cooling tower, water circulating pump, handpiece Water Chilling Units rate-of flow must be in normal model
In enclosing, the normal operation of equipment is otherwise influenced：
Expression formula is：Fi,min≤Fi≤Fi,max(22)
Ii,min≤Ii≤Ii,max (23)
In formula:FiIndicate the inventory of equipment, Fi,minFor the minimum load that equipment can bear, Fi,maxIt can be held for equipment
The peak load received, IiIndicate the current value of equipment, Ii,minFor the minimum current amount that equipment can bear, Ii,maxFor equipment institute energy
The maximum current flow born.
Efficiency constraints meaning is in the actual production process, often to fully consider the efficiency situation of individual equipment, usually
The too low equipment of efficiency value is not enabled, in order to avoid load is caused to waste, expression formula is
if Ii＞ 0, ηi,min≤ηi≤1 (24)
In formula：ηiIt indicates device efficiency, is calculated according to each device model.
Constraint of demand meaning is the optimization for circulation, it is necessary to meet daily production to cycle water inventory and system
The demand of cold.
Lcw,need≤Lcw (25)
Qneed≤Qe (26)
In formula：LcwIndicate the cycle water inventory that prioritization scheme is provided, Lcw,needIt is actual production to total need of recirculated water
It asks, instantaneous value, Q is used when calculatingeThe refrigerating capacity provided by prioritization scheme, QneedFreeze to circulation for actual production
The demand of amount is calculated by obtaining ambient temperature and humidity in real time.
After determining object function and numerous constraintss, using the Sequential Quadratic Programming method in Nonlinear Programming Method
(SQP) or interior point method (interior-point) solves above-mentioned mould, obtains recirculated water Optimized Operation scheme, cooling tower
Wind turbine optimizes the Optimal Operation Strategies of operation scheme, water circulating pump and handpiece Water Chilling Units.
It is worth noting that, the optimization method for circulation that the present embodiment proposes, in addition to the foregoing, also
Judge including prioritization scheme feasibility and the execution of prioritization scheme two supplements steps.
I.e. prioritization scheme feasibility judges for the former, including：Based on history data, in conjunction with the special of produce reality
Situation, judges the feasibility for the recirculated water prioritization scheme that the Optimized model obtains, and is manually repaiied to individual deviation data
Just.
The execution of the latter, that is, prioritization scheme includes then：When the prioritization scheme of circulation judges feasible, first by advanced
Controllers carry out stable state detection, and the scheme for can be at stable state executes optimum results, i.e. operating personnel calculate according to optimization
As a result it is adjusted manually or optimization computation model is connected with scene DCS, PLC dispatch control system and carry out on-line automatic adjusting two
Kind mode, makes the operating status of circulation be in lowest energy consumption always.
The present invention provides the optimization methods of circulation, including：The selected equipment history run from circulation
Data establish flow-electric current correlation model, and real-time update is carried out to correlation model according to the equipment real time data got；Root
According to the specific operating mode of equipment in circulation mechanism corresponding with circulation is built in conjunction with updated correlation model
Model obtains the calculated results about flow in circulation, temperature, in conjunction with the equipment actual operating data got
The calculated results are corrected；Circulating water system optimization model is built, in recirculated water total flow, the constraint of refrigerating capacity load
Under the conditions of, determine the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, optimizing application fortune
Row strategy optimizes processing to circulation.By being constraint, circulation with recirculated water total flow, refrigerating capacity load
The minimum target of total energy consumption, build circulating water system optimization model, by optimize calculate provide best recirculated water scheduling scheme,
The operation reserve of blower fan of cooling tower operation scheme, water circulating pump and handpiece Water Chilling Units, finally with artificial or control system to recirculated water
System optimizes operation, keeps circulation comprehensive energy consumption minimum.
Embodiment two
For the optimization method for circulation proposed in previous embodiment, the present embodiment proposes excellent using this
The optimization device 2 of the circulation of change method, as shown in Fig. 2, the optimization device 2, including：
Data acquisition module 21 establishes flow-electric current for the selected equipment history data from circulation
Correlation model carries out real-time update according to the equipment real time data got to correlation model；
Data processing module 22, for the specific operating mode according to equipment in circulation, in conjunction with updated association mould
Type builds corresponding with circulation mechanism model, obtains the theoretical calculation knot about flow in circulation, temperature
Fruit is corrected the calculated results in conjunction with the equipment actual operating data got；
Data-optimized module 23, for building circulating water system optimization model, in recirculated water total flow, refrigerating capacity load
Under constraints, determine that the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, application are excellent
Change operation reserve and processing is optimized to circulation.
In force, the present invention provides the optimization devices of circulation is managed with overcoming in the prior art due to lacking
By computation model and the management system of entirety, energy wave caused by fining Operations Management can not be carried out to circulation
Take problem.The optimization device 2 includes data acquisition module 21, data processing module 22, data-optimized module 23 totally three big module,
Each module executes content shown in step 11,12 and 13 described in previous embodiment respectively, and the present embodiment is not repeating.
The 2 main operation to be performed of optimization device includes：
Lookup analysis is carried out by each operating parameter to circulation, is obtained and the relevant adjustable ginseng of key of energy consumption
Number；History data based on blower fan of cooling tower, water circulating pump is built respectively by data fitting methods such as least square methods
The correlation model of vertical corresponding flow and electric current, and model is updated by real time data；With the flow of each equipment and electricity
Based on the empirical model of stream, according to equipment concrete structure and operating mode, the exact mechanism model of circulation is established, obtains stream
Amount, temperature scheduling theory result of calculation, and actual operating data is compared, accounting correction is carried out to model；With recirculated water total flow, system
Cold load is constraint, and the minimum target of circulation total energy consumption builds circulating water system optimization model, is calculated by optimizing
Provide the operation reserve of best recirculated water scheduling scheme, blower fan of cooling tower operation scheme, water circulating pump and handpiece Water Chilling Units；To go through
Based on history operation data, in conjunction with the special circumstances of produce reality, the feasibility of recirculated water prioritization scheme is judged, and can be artificial right
Individual deviation data are corrected；It is feasible in recirculated water prioritization scheme, it is detected by stable state, is with artificial or control
System optimizes operation to circulation, keeps circulation comprehensive energy consumption minimum.
Optionally, the data processing module 22, is additionally operable to：
Operating parameter in circulation is analyzed, is determined and the relevant adjustable ginseng of key of circulation energy consumption
Number carries out sensitivity analysis to crucial adjustable parameter, determines the key parameter for influencing that energy consumption is influenced in circulation；
Key parameter in circulation is adjusted.
In force, data processing module 22 also needs to execute the step of being adjusted key parameter, to reach pair
The effect that circulation is advanced optimized provides reference for daily production adjusting.
In order to realize that the step of key parameter is adjusted include：
According to the mathematical model of circulation, using Sobol methods to influence each crucial adjustable parameter of system energy consumption into
Line sensitivity is analyzed, and the expression formula as described in formula (1) to (5) is obtained, and most sensitive factor is searched according to expression formula；
STj=∑ S(i) (5)
In formula：D indicates variance, SiIt is expressed as 1 susceptibility, SijFor 2 susceptibilitys, and so on, S1,2,…,nFor n times
Susceptibility, STjFor total susceptibility of i-th of parameter.
In force, common global sensitivity analysis method has image factoring, RSA, FAST, Sobol, Extend
The methods of FAST, GLUE.Wherein, Sobol methods have many advantages, such as that form is simple, it is easy to calculate, and are the most representative overall situations
Sensitivity Analysis is answered in the sensitivity analysis of the Hydro-Model Parameter Calibration Technologies such as TOPMODEL, SWAT, SACSMA
With.Sobol methods are the most effective sides of the single sensitivity to parameter and multi-parameter interaction sensibility of evaluating lumped model
Method.
In addition, the present embodiment also proposes to establish the concept of result display module and interpersonal interactive module, the former will be for that will count
Visualization presentation is carried out on display platform according to the obtained optimization data of analysis module；The latter is then used to provide user demand defeated
Enter interface, by being manually entered, predictive meter is carried out to the optimum cycle water running strategy under the conditions of the following a certain reasonable demand
It calculates and is presented with visualization.
The present invention provides the optimization devices of circulation, including：Execute the selected equipment history from circulation
Operation data establishes flow-electric current correlation model, is carried out in real time more to correlation model according to the equipment real time data got
Newly；According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, structure is corresponding with circulation
Mechanism model obtains the calculated results about flow in circulation, temperature, in conjunction with the equipment actual motion got
Data are corrected the calculated results；Circulating water system optimization model is built, in recirculated water total flow, refrigerating capacity load
Under constraints, determine that the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, application are excellent
Change operation reserve to circulation optimize processing and etc..By being constraint with recirculated water total flow, refrigerating capacity load,
The minimum target of circulation total energy consumption builds circulating water system optimization model, and best cycle is provided by optimizing to calculate
The operation reserve of water scheduling scheme, blower fan of cooling tower operation scheme, water circulating pump and handpiece Water Chilling Units, finally with artificial or control system
System optimizes operation to circulation, keeps circulation comprehensive energy consumption minimum.
Typical case case：The technological process of the circulation of certain chemical enterprise is illustrated in fig. 3 shown below, circulation packet
Include four cooling towers, four Fans, nine water circulating pumps, nine refrigerators, seven chilled water pumps and tail end air conditioner etc..
With 32 DEG C, for the typical summer mode of 65%RH, the Optimized model and device that are provided through the invention carry out
Calculate, the Optimizing Suggestions scheme of acquisition as shown in figure 4, operated according to prioritization scheme, meet recirculated water gross demand with
In the case of refrigeration capacity requirement, about 25,000,000 KWH/ of circulation electricity consumption, it is contemplated that 2~20% will be saved.
Each serial number in above-described embodiment is for illustration only, the assembling for not representing each component or the elder generation during use
Sequence afterwards.
Example the above is only the implementation of the present invention is not intended to limit the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. the optimization method of circulation, which is characterized in that the optimization method, including：
The selected equipment history data from circulation establishes flow-electric current correlation model, the equipment according to getting
Real time data carries out real-time update to correlation model；
According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, structure is corresponding with circulation
Mechanism model, the calculated results about flow in circulation, temperature are obtained, in conjunction with the practical fortune of equipment got
Row data are corrected the calculated results；
Circulating water system optimization model is built, under recirculated water total flow, the constraints of refrigerating capacity load, determines and ensures cycle
The Optimal Operation Strategies of circulation under water system total energy consumption minimal condition, optimizing application operation reserve to circulation into
Row optimization processing.
2. the optimization method of circulation according to claim 1, which is characterized in that the optimization method further includes：
Operating parameter in circulation is analyzed, the relevant crucial adjustable parameter of determining and circulation energy consumption,
Sensitivity analysis is carried out to crucial adjustable parameter, determines the key parameter for influencing to influence energy consumption in circulation；
Key parameter in circulation is adjusted.
3. the optimization method of circulation according to claim 1, which is characterized in that described in circulation
Operating parameter is analyzed, and the relevant crucial adjustable parameter of determining and circulation energy consumption carries out spirit to crucial adjustable parameter
Basis of sensitivity analysis determines the key parameter for influencing that energy consumption is influenced in circulation, including：
According to the mathematical model of circulation, spirit is carried out to each crucial adjustable parameter for influencing system energy consumption using Sobol methods
Basis of sensitivity analysis obtains the expression formula as described in formula (1) to (5), and most sensitive factor is searched according to expression formula；
STj=Σ S(i) (5)
In formula：D indicates variance, SiIt is expressed as 1 susceptibility, SijFor 2 susceptibilitys, and so on, S1,2,…,nFor n times sensitivity
Degree, STjFor total susceptibility of i-th of parameter.
4. the optimization method of the circulation according to claim, which is characterized in that described to be selected from circulation
Taking equipment history data establishes flow-electric current correlation model, including：
Obtain the device history data in circulation；
Based on least square method, flow-electric current correlation model I corresponding with circulation is establishedi=Li×ai6bi, I in formulai、
LiElectric current, the flow of each equipment, a are indicated respectivelyi、biFor the fitting coefficient of correlation model；
Build sum of squared errors function
yj=Li*ai+bi (7)
Formula (7), which is substituted into formula (6), to be obtained：
By formula (8) respectively to ai、biPartial derivative is sought, it is enabled to be equal to 0, is obtained with the models fitting of formula (6) minimum " optimized criterion "
Coefficient.
5. according to the optimization method of 1 circulation described in claim, which is characterized in that described according in circulation
The specific operating mode of equipment builds mechanism model corresponding with circulation in conjunction with updated correlation model, obtains about following
The calculated results of flow in ring water system, temperature, in conjunction with the equipment actual operating data got to the calculated results
It is corrected, including：
According to the specific operating mode of equipment in circulation, in conjunction with updated correlation model, to cooling tower in circulating water system
System is modeled, and mathematical modeling is carried out to the water chilling unit system in circulation；
Mechanism model based on cooling tower systems and water chilling unit system, in conjunction with water circulating pump, the empirical model of blower fan of cooling tower,
Using sequential modular approach, obtain include flow, temperature the calculated results theory is carried out according to equipment actual operating data
Result of calculation carries out accounting correction.
6. the optimization method of circulation according to claim 5, which is characterized in that described to cold in circulation
But Tower System is modeled, including：
It includes the modeling parameters including mass balance, heat balance, efficiency of cooling tower to obtain cooling tower systems；
Determine the corresponding parameter expression of each modeling parameters.
7. the optimization method of circulation according to claim 5, which is characterized in that described in circulation
Water chilling unit system carries out mathematical modeling, including：
It includes the modeling parameters including compressor, condenser, electronic throttle, evaporator to obtain water chilling unit system；
Determine the corresponding parameter expression of each modeling parameters.
8. the optimization method of circulation according to claim 1, which is characterized in that the structure circulation is excellent
Change model, under recirculated water total flow, the constraints of refrigerating capacity load, determines and ensure circulation total energy consumption minimal condition
The Optimal Operation Strategies of lower circulation, including：
Structure keeps the comprehensive energy consumption of entire circulation minimum in the case where ensureing recirculated water supply with refrigeration capacity requirement
Object function
Wherein, Pfan,i、Ppumpcw,i、Prefri,iRespectively i-th of blower fan of cooling tower, water circulating pump, the electrical power for freezing unit；
PtotalFor the synthesis electrical power of entire circulation, each plant electrical power is calculated based on system mathematic model；
Build the constraints including material balance, energy balance, device constraint, efficiency constraints, efficiency constraints；
Based on constraints, above-mentioned object function row is solved using Nonlinear Programming Method, acquisition includes recirculated water Optimized Operation
The Optimal Operation Strategies of scheme, blower fan of cooling tower optimization operation scheme, water circulating pump and handpiece Water Chilling Units.
9. the optimization device of circulation, which is characterized in that the optimization device, including：
Data acquisition module establishes flow-electric current association mould for the selected equipment history data from circulation
Type carries out real-time update according to the equipment real time data got to correlation model；
Data processing module, for the specific operating mode according to equipment in circulation, in conjunction with updated correlation model, structure
Mechanism model corresponding with circulation obtains the calculated results about flow in circulation, temperature, in conjunction with obtaining
The equipment actual operating data got is corrected the calculated results；
Data-optimized module, for building circulating water system optimization model, in recirculated water total flow, the constraint item of refrigerating capacity load
Under part, the Optimal Operation Strategies for ensureing circulation under circulation total energy consumption minimal condition, optimizing application operation are determined
Strategy optimizes processing to circulation.
10. the optimization device of circulation according to claim 9, which is characterized in that the data processing module, also
For：
Operating parameter in circulation is analyzed, the relevant crucial adjustable parameter of determining and circulation energy consumption,
Sensitivity analysis is carried out to crucial adjustable parameter, determines the key parameter for influencing to influence energy consumption in circulation；
Key parameter in circulation is adjusted.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711642A (en) * | 2019-02-01 | 2019-05-03 | 江苏方天电力技术有限公司 | Desulphurization system running optimizatin method and system based on big data |
| CN110631212A (en) * | 2019-08-16 | 2019-12-31 | 西安建筑科技大学 | Energy-saving control method for central air-conditioning cooling water system |
| CN111178576A (en) * | 2019-11-19 | 2020-05-19 | 浙江中控技术股份有限公司 | Operation optimization method based on refining device operation data |
| CN112528453A (en) * | 2019-08-29 | 2021-03-19 | 中国石油化工股份有限公司 | Defeated system energy consumption computing system of collection based on data wash |
| CN115265024A (en) * | 2022-06-14 | 2022-11-01 | 浙江中控技术股份有限公司 | Integrated control optimization method for circulating cooling water system |
| CN114358417B (en) * | 2021-12-31 | 2023-06-20 | 山东双轮股份有限公司 | Energy-saving consumption-reducing operation control method for industrial circulating cooling water system |
| CN117215255A (en) * | 2023-11-09 | 2023-12-12 | 中控技术股份有限公司 | Automatic energy-saving consumption-reducing operation control system of industrial circulating water system |
| CN117234071A (en) * | 2023-11-16 | 2023-12-15 | 中控技术股份有限公司 | Circulating water system energy-saving optimization method and device based on temperature and pressure control |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636800A (en) * | 2013-11-06 | 2015-05-20 | 上海思控电气设备有限公司 | Freezing station system neural network optimization unit based on least square weighted and method thereof |
| CN106091515A (en) * | 2016-06-20 | 2016-11-09 | 福建大唐国际宁德发电有限责任公司 | The method that fired power generating unit once-though cooling circulation on-line operation optimizes |
| CN106250617A (en) * | 2016-07-29 | 2016-12-21 | 上海交通大学 | The double back pressure cold end system variable frequency pump circulating water flow optimization method of a kind of fired power generating unit |
-
2017
- 2017-12-05 CN CN201711270570.2A patent/CN108320042B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636800A (en) * | 2013-11-06 | 2015-05-20 | 上海思控电气设备有限公司 | Freezing station system neural network optimization unit based on least square weighted and method thereof |
| CN106091515A (en) * | 2016-06-20 | 2016-11-09 | 福建大唐国际宁德发电有限责任公司 | The method that fired power generating unit once-though cooling circulation on-line operation optimizes |
| CN106250617A (en) * | 2016-07-29 | 2016-12-21 | 上海交通大学 | The double back pressure cold end system variable frequency pump circulating water flow optimization method of a kind of fired power generating unit |
Non-Patent Citations (1)
| Title |
|---|
| XIAO FENG 等: ""Recirculating Cooling-Water Network with an Intermediate Cooling-Water Main"", 《ENERGY & FUELS》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711642A (en) * | 2019-02-01 | 2019-05-03 | 江苏方天电力技术有限公司 | Desulphurization system running optimizatin method and system based on big data |
| CN109711642B (en) * | 2019-02-01 | 2022-06-07 | 江苏方天电力技术有限公司 | Big data-based desulfurization system operation optimization method and system |
| CN110631212A (en) * | 2019-08-16 | 2019-12-31 | 西安建筑科技大学 | Energy-saving control method for central air-conditioning cooling water system |
| CN112528453A (en) * | 2019-08-29 | 2021-03-19 | 中国石油化工股份有限公司 | Defeated system energy consumption computing system of collection based on data wash |
| CN111178576A (en) * | 2019-11-19 | 2020-05-19 | 浙江中控技术股份有限公司 | Operation optimization method based on refining device operation data |
| CN111178576B (en) * | 2019-11-19 | 2023-09-05 | 浙江中控技术股份有限公司 | Operation optimization method based on refining device operation data |
| CN114358417B (en) * | 2021-12-31 | 2023-06-20 | 山东双轮股份有限公司 | Energy-saving consumption-reducing operation control method for industrial circulating cooling water system |
| CN115265024A (en) * | 2022-06-14 | 2022-11-01 | 浙江中控技术股份有限公司 | Integrated control optimization method for circulating cooling water system |
| CN115265024B (en) * | 2022-06-14 | 2023-11-24 | 浙江中控技术股份有限公司 | Integrated control optimization method for circulating cooling water system |
| CN117215255A (en) * | 2023-11-09 | 2023-12-12 | 中控技术股份有限公司 | Automatic energy-saving consumption-reducing operation control system of industrial circulating water system |
| CN117215255B (en) * | 2023-11-09 | 2024-01-26 | 中控技术股份有限公司 | Automatic energy-saving consumption-reducing operation control system of industrial circulating water system |
| CN117234071A (en) * | 2023-11-16 | 2023-12-15 | 中控技术股份有限公司 | Circulating water system energy-saving optimization method and device based on temperature and pressure control |
| CN117234071B (en) * | 2023-11-16 | 2024-01-26 | 中控技术股份有限公司 | Circulating water system energy-saving optimization method and device based on temperature and pressure control |
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