CN107025334A - Central heating system heat user integrated dynamic model method for building up and device - Google Patents
Central heating system heat user integrated dynamic model method for building up and device Download PDFInfo
- Publication number
- CN107025334A CN107025334A CN201710144244.0A CN201710144244A CN107025334A CN 107025334 A CN107025334 A CN 107025334A CN 201710144244 A CN201710144244 A CN 201710144244A CN 107025334 A CN107025334 A CN 107025334A
- Authority
- CN
- China
- Prior art keywords
- heating system
- heat user
- central heating
- dynamic model
- mechanistic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The present invention proposes central heating system heat user integrated dynamic model method for building up and device, wherein, method includes：The diabatic process in central heating system heat user is analyzed according to outdoor combined air temperature and gross heat input, the mechanistic dynamic model of central heating system heat user is set up；The parameter of the mechanistic dynamic model of central heating system heat user is estimated by discrimination method using preset data, central heating system heat user integrated dynamic model is set up.Thus, can not only avoid tradition using dynamic process as black-box model system identifying method to the dependences of specific data and portable difference the problem of, and it can avoid in excessively accurate theoretical modeling due to the problem of model is huge and the next solution of complicated band is difficult, model parameter is difficult to obtain so as to influence precision, the excessive heat supply only caused by experience heating index or fixed operation curve and energy waste problem can be alleviated significantly, heating quality is ensured, realize energy-saving and emission-reduction.
Description
Technical field
The present invention relates to central heating system modeling technique field, more particularly to a kind of central heating system heat user are overall
Dynamic Model method and apparatus.
Background technology
Generally, use the central heating mode using coal-fired thermal power coproduction unit as thermal source more in the city of the northern area of China.So
And, heat user is more dispersed and data are huge, and the indoor temperature of heat user does not often arrange that measuring point is used for heating quality
Monitoring.Therefore, the most heating indexs or experience operation curve according to design of heating enterprise, heat is used as with reference to weather forecast information
The foundation of load adjustment, is adjusted in real time referring concurrently to customer complaint situation to heating load.
To reduce complaint amount, heating enterprise tends to increase the heat demand that heating load meets the not good user of heat supply, so that
Cause the indoor temperature of other users in heat supply network higher, or even winter windowing radiating, the energy is wasted, coal consumption and thus is also increased
The environmental pollution brought.Furthermore, it is contemplated that heat user building has very big thermal capacitance in itself, if utilizing the heat of building itself
Characteristic is adjusted in heat exchange station level to heating load, then both can guarantee that user's heating quality, energy waste can be reduced again.Therefore,
The foundation of central heating system heat user integrated dynamic model, to ensureing heating quality, realizing that energy-saving and emission-reduction have important meaning
Justice.
At present, urban district heating system includes thermal source, pipe network and the part of heat user three.To coal-fired thermal power coproduction unit and
The Research on Dynamic Characteristic of pipe network is relatively more, but less to the timeparameter method research of heat user, thus can not be whole based on heat user
Body dynamically carries out heating management and Optimized Operation.
, can be according to building description, room by the building thermal environments design simulation kit DeST of exploitation in correlation technique
Outer meteorological data and Indoor Thermal disturb come dynamic analog it is annual by when natural room temperature change, majority is used to analyze building energy consumption, and
And modeling process needs a large amount of careful architectural design data, the workload of gather data is huge.Either by certain power plant
Central heating system be tested and fitted power plant's return water temperature and the calculation formula of two grades of net confession/return water temperatures,
But return water temperature cyclically-varying is required in test process, large-scale heat supply network heat supply situation is complicated, and thermic load is by weather condition shadow
Ring, it is difficult to ensure that this condition.Or be tested by the central heating system to certain power plant, establish room, family group and
Lou Dong hot dynamic process mathematical modeling, studies the feasibility that heat supply regulation is carried out with building accumulation of heat, but during model solution
The iterative calculation into trip temperature is needed, the calculating time can dramatically increase with the increase of heat user scale.
The content of the invention
It is contemplated that at least solving one of technical problem in correlation technique to a certain extent.
Therefore, first purpose of the present invention is to propose that a kind of central heating system heat user integrated dynamic model is set up
Method, this method can not only avoid tradition using dynamic process as black-box model system identifying method to specific data according to
The problem of relying and be portable poor, and can avoid what is come in excessively accurate theoretical modeling because model is huge with complicated band
Difficult, model parameter is solved to be difficult to obtain so as to which the problem of influenceing precision, this model has the advantages that precision is good, it is fast to solve, can
Be conveniently used in heat supply online direction, alleviate significantly the excessive heat supply that is only caused by experience heating index or fixed operation curve and
Energy waste problem, ensures heating quality, realizes energy-saving and emission-reduction.
Second object of the present invention is to propose that a kind of central heating system heat user integrated dynamic model sets up device.
For up to above-mentioned purpose, first aspect present invention embodiment proposes a kind of central heating system heat user overall dynamics
Method for establishing model, including：According to outdoor combined air temperature and gross heat input to the diabatic process in central heating system heat user
Analyzed, set up the mechanistic dynamic model of central heating system heat user；Using preset data by discrimination method to described
The parameter of the mechanistic dynamic model of central heating system heat user is estimated, sets up central heating system heat user overall dynamics
Model.
The central heating system heat user integrated dynamic model method for building up of the embodiment of the present invention, by according to outdoor integrated
Temperature and gross heat input are analyzed the diabatic process in central heating system heat user, set up central heating system heat user
Mechanistic dynamic model, then using preset data by discrimination method to the mechanistic dynamic of central heating system heat user
The parameter of model is estimated, sets up central heating system heat user integrated dynamic model.Thus, traditional can not only be avoided
Dynamic process as the system identifying method of black-box model to the dependences of specific data and portable difference the problem of, and can
Avoid in excessively accurate theoretical modeling because model is huge and complicated band is come solution is difficult, model parameter be difficult to obtain so as to
The problem of influenceing precision, this model has the advantages that precision is good, it is fast to solve, it is convenient to applied to heat supply online direction, significantly
Alleviate the excessive heat supply only caused by experience heating index or fixed operation curve and energy waste problem, ensure heating quality, reality
Existing energy-saving and emission-reduction.
In addition, central heating system heat user integrated dynamic model method for building up according to the above embodiment of the present invention may be used also
With with technical characteristic additional as follows：
Alternatively, the mechanistic dynamic model of central heating system heat user is：Tin(s)=G1(p1,s)Qs(s)+G2
(p2,s)Tout(s)；Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is gross heat input, Tin(s) it is heat user indoor temperature,
G1(p1, s) for gross heat input to the dynamic effects rule of indoor temperature, G2(p2, s) for outdoor combined air temperature to indoor temperature
Dynamic effects rule, p1、p2Characteristic parameter vector undetermined in dynamic law is represented respectively.
Alternatively, the utilization preset data by discrimination method to the mechanistic dynamic of central heating system heat user
The parameter of model is estimated, sets up central heating system heat user integrated dynamic model, including：Gross heat input is constant, utilizes
Preset data is joined on the feature that outdoor combined air temperature influence is characterized in the mechanistic dynamic model of central heating system heat user
Number vector carries out first and recognized；Change gross heat input, it is mechanistic to the central heating system heat user dynamic using preset data
The characteristic parameter vector that gross heat input influence is characterized in states model carries out the second identification；According to first identification result and described
Second identification result sets up central heating system heat user integrated dynamic model.
Alternatively, the gross heat input is constant, mechanistic to the central heating system heat user dynamic using preset data
The characteristic parameter vector that outdoor combined air temperature influence is characterized in states model carries out the first identification, including：Gross heat input is constant, obtains
Outdoor dry-bulb temperature, solar irradiance and heat user indoor temperature in first time period；According to the outdoor dry-bulb temperature and
Solar irradiance calculates the outdoor combined air temperature in the first time period；By the outdoor combined air temperature and the heat user room
Interior temperature carries out parameter using discrimination method as input data to the mechanistic dynamic model of the central heating system heat user
Estimation, obtains characterizing the characteristic parameter of outdoor combined air temperature influence in the mechanistic dynamic model of central heating system heat user
Vector.
Alternatively, the change gross heat input, it is mechanistic to the central heating system heat user dynamic using preset data
The characteristic parameter vector that gross heat input influence is characterized in states model carries out the second identification, including：Periodically-varied gross heat input, is obtained
Take outdoor dry-bulb temperature, solar irradiance and the heat user indoor temperature in second time period；According to the outdoor dry-bulb temperature,
Solar irradiance calculates the outdoor combined air temperature in the second time period；By the gross heat input, the outdoor combined air temperature
It is mechanistic to the central heating system heat user dynamic using discrimination method with the heat user indoor temperature as input data
States model carries out parameter Estimation, obtains characterizing gross heat input influence in the mechanistic dynamic model of central heating system heat user
Characteristic parameter vector.
For up to above-mentioned purpose, second aspect of the present invention embodiment proposes a kind of central heating system heat user overall dynamics
Model sets up device, including：Module is set up, according to outdoor combined air temperature and gross heat input in central heating system heat user
Diabatic process is analyzed, and sets up the mechanistic dynamic model of central heating system heat user；Processing module, for utilizing present count
The parameter of the mechanistic dynamic model of central heating system heat user is estimated according to by discrimination method, sets up and concentrates confession
Hot systems heat user integrated dynamic model.
The central heating system heat user integrated dynamic model of the embodiment of the present invention sets up device, by according to outdoor integrated
Temperature and gross heat input are analyzed the diabatic process in central heating system heat user, set up central heating system heat user
Mechanistic dynamic model, then using preset data by discrimination method to the mechanistic dynamic of central heating system heat user
The parameter of model is estimated, sets up central heating system heat user integrated dynamic model.Thus, traditional can not only be avoided
Dynamic process as the system identifying method of black-box model to the dependences of specific data and portable difference the problem of, and can
Avoid in excessively accurate theoretical modeling because model is huge and complicated band is come solution is difficult, model parameter be difficult to obtain so as to
The problem of influenceing precision, this model has the advantages that precision is good, it is fast to solve, it is convenient to applied to heat supply online direction, significantly
Alleviate the excessive heat supply only caused by experience heating index or fixed operation curve and energy waste problem, ensure heating quality, reality
Existing energy-saving and emission-reduction.
May be used also in addition, central heating system heat user integrated dynamic model according to the above embodiment of the present invention sets up device
With with technical characteristic additional as follows：
Alternatively, the mechanistic dynamic model of central heating system heat user is：Tin(s)=G1(p1,s)Qs(s)+G2
(p2,s)Tout(s)；Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is gross heat input, Tin(s) it is heat user indoor temperature,
G1(p1, s) for gross heat input to the dynamic effects rule of indoor temperature, G2(p2, s) for outdoor combined air temperature to indoor temperature
Dynamic effects rule, p1、p2Characteristic parameter vector undetermined in dynamic law is represented respectively.
Alternatively, the processing module includes：First identification unit, it is constant for gross heat input, utilize preset data pair
The characteristic parameter vector that outdoor combined air temperature influence is characterized in the mechanistic dynamic model of central heating system heat user is carried out
First identification；Second identification unit, for changing gross heat input, using preset data to the central heating system heat user machine
The characteristic parameter vector that gross heat input influence is characterized in rationality dynamic model carries out the second identification；Processing unit, for according to institute
State the first identification result and second identification result sets up central heating system heat user integrated dynamic model.
Alternatively, first identification unit specifically for：Gross heat input is constant, and the outdoor obtained in first time period is done
Ball temperature, solar irradiance and heat user indoor temperature；Described the is calculated according to the outdoor dry-bulb temperature and solar irradiance
Outdoor combined air temperature in one period；Using the outdoor combined air temperature and the heat user indoor temperature as input data,
Parameter Estimation is carried out to the mechanistic dynamic model of the central heating system heat user using discrimination method, described concentrate is obtained and supplies
The characteristic parameter vector of outdoor combined air temperature influence is characterized in the mechanistic dynamic model of hot systems heat user.
Alternatively, second identification unit specifically for：Periodically-varied gross heat input, is obtained in second time period
Outdoor dry-bulb temperature, solar irradiance and heat user indoor temperature；Calculated according to the outdoor dry-bulb temperature and solar irradiance
Outdoor combined air temperature in the second time period；By the gross heat input, the outdoor combined air temperature and the heat user room
Interior temperature carries out parameter using discrimination method as input data to the mechanistic dynamic model of the central heating system heat user
Estimation, obtain in the mechanistic dynamic model of central heating system heat user characterize gross heat input influence characteristic parameter to
Amount.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and be readily appreciated that, wherein：
Fig. 1 is the stream of central heating system heat user integrated dynamic model method for building up according to an embodiment of the invention
Journey schematic diagram；
Fig. 2 is central heating system schematic diagram according to an embodiment of the invention；
Fig. 3 is the physical model schematic diagram of heat user according to an embodiment of the invention；
Fig. 4 is the model calculation according to an embodiment of the invention and real data comparison diagram；
Fig. 5 is the knot that central heating system heat user integrated dynamic model according to an embodiment of the invention sets up device
Structure schematic diagram.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and be not considered as limiting the invention.
Below with reference to the accompanying drawings the central heating system heat user integrated dynamic model method for building up of the embodiment of the present invention is described
And device.
Fig. 1 is the stream of central heating system heat user integrated dynamic model method for building up according to an embodiment of the invention
Journey schematic diagram.
Step 110, the diabatic process of central heating system heat user is carried out according to outdoor combined air temperature and gross heat input
Analyze and set up mechanistic dynamic model.
Specifically, the central heating system in the application is more understood for those skilled in the art, with reference to Fig. 2 specifically
It is bright as follows：
Fig. 2 is central heating system schematic diagram according to an embodiment of the invention.As shown in Fig. 2 central heating system
It is made up of thermal source, heating network and the part of heat user three.
Specifically, the secondary side backwater that the primary side heated through thermal source supplies water with being returned from heat user is carried out in heat exchange station
Heat exchange, so that the heat of thermal source is passed into heat user via pipe network and heat exchange station.
It is understood that large-scale centralized heating system generally has the scattered heat exchange station in multiple regions, each heat exchange station pair
Heating area, heat user building type and the composition answered, radiator pattern etc. are differed, even if same heat exchange station heat supply is same
Different floor heights and its indoor temperature of the room of direction are also different in one building, therefore it was both difficult to set up excessively accurate modeling method
Degree and workload are huge, optimize also without practical significance for the real time execution of heating system.
Specifically, due to lacking the understanding to heat user overall dynamics characteristic, the current heating system method of operation still compared with
For extensive, majority dependence operating experience or given outdoor combined air temperature and the experience curve of heating load, excessive confession is easily caused
Heat and energy waste problem.Therefore, research had not only embodied heat user overall dynamics characteristic essential laws but also had easily solved the mould of calculating
Type method for building up is very meaningful.
Therefore, the present invention proposes central heating system heat user integrated dynamic model method for building up.Analyzing influence is warm first
The various factors of user indoor temperature, it is determined that being used as principal element using outdoor combined air temperature and gross heat input；Then to heat user
Interior diabatic process is analyzed and sets up the mechanistic dynamic model of central heating system heat user；And derive that confession is concentrated in foundation
The structure and form of the mechanistic dynamic model of hot systems heat user；Using experimental data or historical data, using discrimination method pair
Model parameter is estimated, so as to obtain required heat user overall dynamics characteristic model.
It should be noted that due to outdoor combined air temperature, to belong to environmental factor uncontrollable, and gross heat input can be taking human as
Adjustment, therefore first identification characterizes the characteristic parameter vector of outdoor combined air temperature influence, rear identification characterizes the feature of heating load influence
Parameter vector, so as to set up central heating system heat user integrated dynamic model.
The present invention proposes central heating system heat user integrated dynamic model method for building up, and merely with a large amount of measured datas
System Discrimination modeling method compare, with the characteristics of physics law is clear, versatility is good；With buildings thermal process Accurate Model side
Method is compared, and the solution that model excessively bulky complex can be avoided to bring is difficult, model parameter is difficult to obtain to influence asking for precision
Topic.In addition, the experimental data in the inventive method only needs change heating load to obtain, exploitativeness is good；Parameter Estimation is made
Data can be experimental data or qualified historical data, it is to avoid the heat supply shadow that many experiments are brought
Ring and expense increase, it is more economically viable.The heat user that method can be applied to secondary net side in large-scale centralized heating system is overall
Dynamic thermal load is predicted and Real time optimal dispatch, so as to alleviate the excessive confession only caused by experience heating index or fixed operation curve
Heat and energy waste problem.
Wherein, in the way of realization of the present invention, the mechanistic dynamic model of central heating system heat user is：Tin
(s)=G1(p1,s)Qs(s)+G2(p2,s)Tout(s)。
Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is gross heat input, Tin(s) it is heat user indoor temperature, G1(p1,
S) for gross heat input to the dynamic effects rule of indoor temperature, G2(p2, it is s) dynamic shadow of the outdoor combined air temperature to indoor temperature
Ring rule, p1、p2Characteristic parameter vector undetermined in dynamic law is represented respectively.
Specifically, the actual heat transfer process of building heat user is extremely complex, and ignore influences less heat exchange to indoor temperature
Process.In order to be more particularly described how according to outdoor combined air temperature and gross heat input to the heat transfer in central heating system heat user
Process is analyzed, and sets up the mechanistic dynamic model of central heating system heat user.It is described as follows with reference to Fig. 3：
Fig. 3 is the physical model schematic diagram of heat user according to an embodiment of the invention.As shown in figure 3, physical model
Changed including working medium in radiator and the convection current of the heat convection, heat spreader metals tube wall and room air of heat spreader metals tube wall
Heat, the heat convection of room air and interior wall, room air and the heat convection, room air and outdoor air of outer plinth course
The heat convection mistake of conduction process, insulating layer of external wall and outdoor air between scavenging period, outer plinth course and insulating layer of external wall
Journey.
For example, said process is arranged respectively and writes energy-balance equation and heat transfer equation, obtain the collection Headquarters of the General Staff of heat user
Exponential model.The model is 6 rank models, can be further simplified as 2 rank models through analysis, form is as follows：
Wherein, b11,b01,b02,a21,a11,a01,a12,a02For coefficient.
Step 120, using preset data by discrimination method to the mechanistic dynamic analog of central heating system heat user
The parameter of type is estimated, sets up central heating system heat user integrated dynamic model.
Specifically, by preset data such as experimental data or can be historical data by discrimination method to concentrating
The parameter of the mechanistic dynamic model of heating system heat user is estimated.
Wherein, the method that the parameter to the mechanistic dynamic model of central heating system heat user is estimated has many kinds,
It can be needed to carry out selection setting according to practical application.It is illustrated below：
The first example, by experimental data respectively in the case of constant two kinds of the gross heat input with change of gross heat input to collection
The parameter of the middle mechanistic dynamic model of heating system heat user is estimated.
Specifically, gross heat input is constant, using preset data in the mechanistic dynamic model of central heating system heat user
The characteristic parameter vector for characterizing outdoor combined air temperature influence carries out the first identification.With the mechanistic dynamic of central heating system heat user
Model：Exemplified by say
It is bright.In the case where maintaining heating load constant,Therefore can be according to Tin,
ToutData and model G2(p2, structure s) is to parameter b02,a12,a02Estimated.
Specifically, gross heat input is constant, obtains outdoor dry-bulb temperature, solar irradiance and heat user in first time period
Indoor temperature；The outdoor combined air temperature in the first time period is calculated according to outdoor dry-bulb temperature and solar irradiance；By room
Outer integrated temperature and the heat user indoor temperature are as input data, using discrimination method to central heating system heat user machine
Rationality dynamic model carries out parameter Estimation, obtains characterizing outdoor integrated temperature in the mechanistic dynamic model of central heating system heat user
Spend the characteristic parameter vector of influence.
For example, gross heat input Q is chosen according to experimental data or historical datasConstant continuous some following data in day；
Outdoor dry-bulb temperature Ta, solar irradiance IradWith heat user indoor temperature Tin, and calculate the outdoor integrated in the correspondence period
Temperature Tout：
Tout=Ta+afIrad/αc
With TinAnd ToutData as input, using system identifying method to relational expression Tin(s)=G2(p2,s)Tout(s)
Carry out parameter Estimation.
Specifically, gross heat input is changed, using preset data in the mechanistic dynamic model of central heating system heat user
The characteristic parameter vector for characterizing gross heat input influence carries out the second identification.Continue with the mechanistic dynamic of central heating system heat user
Model：Exemplified by say
It is bright.Because outdoor combined air temperature can not artificially change, therefore carrying out G1(p1, outdoor combined air temperature need to s) be eliminated during parameter Estimation
Influence, utilize known G2(p2, s), according to relational expression：
Tin(s)-G2(p2,s)Tout(s)=G1(p1,s)Qs(s)
Carry out G1(p1, parameter b s)11,b01,a21,a11,a01Estimation.
Specifically, periodically-varied gross heat input, obtain second time period in outdoor dry-bulb temperature, solar irradiance and
Heat user indoor temperature；The outdoor combined air temperature in the second time period is calculated according to outdoor dry-bulb temperature and solar irradiance；
Using the gross heat input, outdoor combined air temperature and heat user indoor temperature as input data, supplied using discrimination method concentrating
The mechanistic dynamic model of hot systems heat user carries out parameter Estimation, obtains in the mechanistic dynamic model of central heating system heat user
Characterize the characteristic parameter vector of gross heat input influence.
For example, on the premise of heating quality is ensured, periodically-varied gross heat input Qs, repetition tests some days, or from
The periodically variable continuous some days of gross heat input are chosen in historical data, period P1 is designated as；According to the room in period P1
Outer dry-bulb temperature Ta, solar irradiance Irad, calculate the outdoor combined air temperature T in the correspondence periodout：Tout=Ta+afIrad/αc。
Then with Tin、ToutAnd QsData in period P1 are as input, based on the characteristic rule G known in step S32(p2,
S), using system identifying method to relational expression Tin(s)-G2(p2,s)Tout(s)=G1(p1,s)Qs(s) parameter Estimation is carried out, from
And set up central heating system heat user overall dynamics characteristic model.
In order to which those skilled in the art more understand said process, it is described as follows with reference to Fig. 4 more specifically examples：
Specifically, Changchun heat exchange station 11 days 00 March in 2016 is utilized:00 to 2016 on March 12,24:00 data
Parameter Estimation is carried out, the heat user overall dynamics characteristic model parameter of acquisition is as follows：
b11=51220, b01=1, a21=3.172E8, a11=48810, a01=0.8005,
b02=0.2467, a12=8244, a02=1
Utilize 3 days 00 March in 2016:00 to 2016 on March 10,24:00 data carry out model checking, the period
Outdoor combined air temperature and heating load change curve, and model calculates the indoor temperature obtained and Fig. 4 is shown in the contrast of real data.
Figure 4, it is seen that the model calculation is coincide with real data, the validity of this method is illustrated.
In summary, the central heating system heat user integrated dynamic model method for building up of the embodiment of the present invention, passes through root
The diabatic process in central heating system heat user is analyzed according to outdoor combined air temperature and gross heat input, central heating is set up
The mechanistic dynamic model of system heat user, then using preset data by discrimination method to the central heating system heat user
The parameter of mechanistic dynamic model is estimated, sets up central heating system heat user integrated dynamic model.Thus, can not only
Avoid tradition that the system identifying method of dynamic process as black-box model is asked with portable poor relying on for specific data
Topic, and can avoid in excessively accurate theoretical modeling because model is huge and the next solution of complicated band is difficult, model parameter
It is difficult to obtain so as to which the problem of influenceing precision, this model has the advantages that precision is good, it is fast to solve, it is convenient to applied to heat supply exist
Line is instructed, and is alleviated the excessive heat supply only caused by experience heating index or fixed operation curve and energy waste problem significantly, is ensured
Heating quality, realize energy-saving and emission-reduction.
In order to realize above-described embodiment, the present invention also proposes that a kind of central heating system heat user integrated dynamic model is set up
Device.
Fig. 5 is the knot that central heating system heat user integrated dynamic model according to an embodiment of the invention sets up device
Structure schematic diagram.
As shown in figure 5, the central heating system heat user integrated dynamic model is set up device and included：Set up module 51 and place
Manage module 52.
Wherein, module 51 is set up according to outdoor combined air temperature and gross heat input to the heat transfer in central heating system heat user
Process is analyzed, and sets up the mechanistic dynamic model of central heating system heat user.
Processing module 52 is used for using preset data by discrimination method to the mechanistic dynamic of central heating system heat user
The parameter of model is estimated, sets up central heating system heat user integrated dynamic model.
In one embodiment of the invention, the mechanistic dynamic model of central heating system heat user is：
Tin(s)=G1(p1,s)Qs(s)+G2(p2,s)Tout(s)；Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is total
Heating load, Tin(s) it is heat user indoor temperature, G1(p1, s) for gross heat input to the dynamic effects rule of indoor temperature, G2(p2,
S) for outdoor combined air temperature to the dynamic effects rule of indoor temperature, p1、p2Characteristic parameter undetermined in dynamic law is represented respectively
Vector.
Further, in a kind of possible implementation of the embodiment of the present invention, processing module 52 includes：First identification
Unit 521, the second identification unit 522 and processing unit 523.
Wherein, the first identification unit 521 is constant for gross heat input, using preset data to central heating system heat
The characteristic parameter vector that outdoor combined air temperature influence is characterized in the mechanistic dynamic model of user carries out the first identification.
Second identification unit 522 is used to change gross heat input, using preset data to central heating system heat user mechanism
Property dynamic model in characterize gross heat input influence characteristic parameter vector carry out second recognize；
Processing unit 523 is whole for setting up central heating system heat user according to the first identification result and the second identification result
Body dynamic model.
Specifically, in one embodiment of the invention, the first identification unit 521 is constant specifically for gross heat input, obtains
Take outdoor dry-bulb temperature, solar irradiance and the heat user indoor temperature in first time period；According to outdoor dry-bulb temperature and too
Positive irradiation level calculates the outdoor combined air temperature in the first time period；By outdoor combined air temperature and the heat user indoor temperature
As input data, parameter Estimation is carried out to the mechanistic dynamic model of central heating system heat user using discrimination method, obtained
The characteristic parameter vector of outdoor combined air temperature influence is characterized in the mechanistic dynamic model of central heating system heat user.
Specifically, in one embodiment of the invention, the second identification unit 522 is specifically for the total heat supply of periodically-varied
Amount, obtains outdoor dry-bulb temperature, solar irradiance and the heat user indoor temperature in second time period；According to outdoor dry-bulb temperature
The outdoor combined air temperature in the second time period is calculated with solar irradiance；By the gross heat input, outdoor combined air temperature and
Heat user indoor temperature is carried out as input data using discrimination method to the mechanistic dynamic model of central heating system heat user
Parameter Estimation, obtain in the mechanistic dynamic model of central heating system heat user characterize gross heat input influence characteristic parameter to
Amount.
It should be noted that the foregoing explanation to central heating system heat user integrated dynamic model method for building up embodiment
Illustrate to be also applied for the central heating system heat user integrated dynamic model in this example and set up device, here is omitted.
In summary, the central heating system heat user integrated dynamic model of the embodiment of the present invention sets up device, passes through root
The diabatic process in central heating system heat user is analyzed according to outdoor combined air temperature and gross heat input, central heating is set up
The mechanistic dynamic model of system heat user, then using preset data by discrimination method to the central heating system heat user
The parameter of mechanistic dynamic model is estimated, sets up central heating system heat user integrated dynamic model.Thus, can not only
Avoid tradition that the system identifying method of dynamic process as black-box model is asked with portable poor relying on for specific data
Topic, and can avoid in excessively accurate theoretical modeling because model is huge and the next solution of complicated band is difficult, model parameter
It is difficult to obtain so as to which the problem of influenceing precision, this model has the advantages that precision is good, it is fast to solve, it is convenient to applied to heat supply exist
Line is instructed, and is alleviated the excessive heat supply only caused by experience heating index or fixed operation curve and energy waste problem significantly, is ensured
Heating quality, realize energy-saving and emission-reduction.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or the spy that the embodiment or example are described
Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office
Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area
Art personnel can be tied the not be the same as Example or the feature of example and non-be the same as Example or example described in this specification
Close and combine.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include at least one this feature.In the description of the invention, " multiple " are meant that at least two, such as two, three
It is individual etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, represent to include
Module, fragment or the portion of the code of one or more executable instructions for the step of realizing custom logic function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not be by shown or discussion suitable
Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, the software that multiple steps or method can in memory and by suitable instruction execution system be performed with storage
Or firmware is realized.Such as, if realized with hardware with another embodiment, following skill well known in the art can be used
Any one of art or their combination are realized：With the logic gates for realizing logic function to data-signal from
Scattered logic circuit, the application specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can be compiled
Journey gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method is carried
Rapid to can be by program to instruct the hardware of correlation to complete, described program can be stored in a kind of computer-readable storage medium
In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing module, can also
That unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould
Block can both be realized in the form of hardware, it would however also be possible to employ the form of software function module is realized.The integrated module is such as
Fruit is realized using in the form of software function module and as independent production marketing or in use, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..Although having been shown and retouching above
Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention
System, one of ordinary skill in the art can be changed to above-described embodiment, change, replace and become within the scope of the invention
Type.
Claims (10)
1. a kind of central heating system heat user integrated dynamic model method for building up, it is characterised in that comprise the following steps：
The diabatic process in central heating system heat user is analyzed according to outdoor combined air temperature and gross heat input, collection is set up
The middle mechanistic dynamic model of heating system heat user；
The parameter of the mechanistic dynamic model of central heating system heat user is carried out by discrimination method using preset data
Estimation, sets up central heating system heat user integrated dynamic model.
2. the method as described in claim 1, it is characterised in that the mechanistic dynamic model of central heating system heat user
For：
Tin(s)=G1(p1,s)Qs(s)+G2(p2,s)Tout(s)；
Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is gross heat input, Tin(s) it is heat user indoor temperature, G1(p1, s) it is
Gross heat input is to the dynamic effects rule of indoor temperature, G2(p2, s) dynamic effects of indoor temperature are advised for outdoor combined air temperature
Rule, p1、p2Characteristic parameter vector undetermined in dynamic law is represented respectively.
3. the method as described in claim 1, it is characterised in that the utilization preset data is concentrated by discrimination method to described
The parameter of the mechanistic dynamic model of heating system heat user is estimated, sets up central heating system heat user overall dynamics mould
Type, including：
Gross heat input is constant, outdoor to being characterized in the mechanistic dynamic model of central heating system heat user using preset data
The characteristic parameter vector of integrated temperature influence carries out first and recognized；
Change gross heat input, using preset data to characterizing total supply in the mechanistic dynamic model of central heating system heat user
The characteristic parameter vector of heat influence carries out second and recognized；
Central heating system heat user integrated dynamic model is set up according to first identification result and second identification result.
4. method as claimed in claim 3, it is characterised in that the gross heat input is constant, using preset data to the collection
The characteristic parameter vector progress first that outdoor combined air temperature influence is characterized in the middle mechanistic dynamic model of heating system heat user is distinguished
Know, including：
Gross heat input is constant, obtains outdoor dry-bulb temperature, solar irradiance and heat user indoor temperature in first time period；
The outdoor combined air temperature in the first time period is calculated according to the outdoor dry-bulb temperature and solar irradiance；
Using the outdoor combined air temperature and the heat user indoor temperature as input data, concentrated using discrimination method to described
The mechanistic dynamic model of heating system heat user carries out parameter Estimation, obtains the mechanistic dynamic of central heating system heat user
The characteristic parameter vector of outdoor combined air temperature influence is characterized in model.
5. method as claimed in claim 3, it is characterised in that the change gross heat input, using preset data to the collection
The characteristic parameter vector that gross heat input influence is characterized in the middle mechanistic dynamic model of heating system heat user carries out the second identification, bag
Include：
Periodically-varied gross heat input, is obtained in outdoor dry-bulb temperature, solar irradiance and the heat user room in second time period
Temperature；
The outdoor combined air temperature in the second time period is calculated according to the outdoor dry-bulb temperature and solar irradiance；
Using the gross heat input, the outdoor combined air temperature and the heat user indoor temperature as input data, identification is utilized
Method carries out parameter Estimation to the mechanistic dynamic model of the central heating system heat user, obtains the central heating system heat
The characteristic parameter vector of gross heat input influence is characterized in the mechanistic dynamic model of user.
6. a kind of central heating system heat user integrated dynamic model sets up device, it is characterised in that including：
Module is set up, the diabatic process in central heating system heat user is divided according to outdoor combined air temperature and gross heat input
Analysis, sets up the mechanistic dynamic model of central heating system heat user；
Processing module, for utilizing preset data by discrimination method to the mechanistic dynamic analog of central heating system heat user
The parameter of type is estimated, sets up central heating system heat user integrated dynamic model.
7. device as claimed in claim 6, it is characterised in that the mechanistic dynamic model of central heating system heat user
For：
Tin(s)=G1(p1,s)Qs(s)+G2(p2,s)Tout(s)；
Wherein, Tout(s) it is outdoor combined air temperature, Qs(s) it is gross heat input, Tin(s) it is heat user indoor temperature, G1(p1, s) it is
Gross heat input is to the dynamic effects rule of indoor temperature, G2(p2, s) dynamic effects of indoor temperature are advised for outdoor combined air temperature
Rule, p1、p2Characteristic parameter vector undetermined in dynamic law is represented respectively.
8. device as claimed in claim 6, it is characterised in that the processing module includes：
First identification unit, it is constant for gross heat input, it is mechanistic to the central heating system heat user using preset data
The characteristic parameter vector that outdoor combined air temperature influence is characterized in dynamic model carries out the first identification；
Second identification unit, it is mechanistic to the central heating system heat user using preset data for changing gross heat input
The characteristic parameter vector that gross heat input influence is characterized in dynamic model carries out the second identification；
Processing unit, for setting up central heating system heat user according to first identification result and second identification result
Integrated dynamic model.
9. device as claimed in claim 8, it is characterised in that first identification unit specifically for：
Gross heat input is constant, obtains outdoor dry-bulb temperature, solar irradiance and heat user indoor temperature in first time period；
The outdoor combined air temperature in the first time period is calculated according to the outdoor dry-bulb temperature and solar irradiance；
Using the outdoor combined air temperature and the heat user indoor temperature as input data, concentrated using discrimination method to described
The mechanistic dynamic model of heating system heat user carries out parameter Estimation, obtains the mechanistic dynamic of central heating system heat user
The characteristic parameter vector of outdoor combined air temperature influence is characterized in model.
10. device as claimed in claim 8, it is characterised in that second identification unit specifically for：
Periodically-varied gross heat input, is obtained in outdoor dry-bulb temperature, solar irradiance and the heat user room in second time period
Temperature；
The outdoor combined air temperature in the second time period is calculated according to the outdoor dry-bulb temperature and solar irradiance；
Using the gross heat input, the outdoor combined air temperature and the heat user indoor temperature as input data, identification is utilized
Method carries out parameter Estimation to the mechanistic dynamic model of the central heating system heat user, obtains the central heating system heat
The characteristic parameter vector of gross heat input influence is characterized in the mechanistic dynamic model of user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710144244.0A CN107025334B (en) | 2017-03-10 | 2017-03-10 | Method and device for establishing overall dynamic model of heat users of central heating system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710144244.0A CN107025334B (en) | 2017-03-10 | 2017-03-10 | Method and device for establishing overall dynamic model of heat users of central heating system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107025334A true CN107025334A (en) | 2017-08-08 |
| CN107025334B CN107025334B (en) | 2020-05-12 |
Family
ID=59525690
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710144244.0A Active CN107025334B (en) | 2017-03-10 | 2017-03-10 | Method and device for establishing overall dynamic model of heat users of central heating system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107025334B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107907357A (en) * | 2017-11-01 | 2018-04-13 | 清华大学 | Test the method and device of central heating system dynamic characteristic |
| CN108197404A (en) * | 2018-01-22 | 2018-06-22 | 河北工业大学 | A kind of building load Forecasting Methodology based on time hereditary capacity |
| CN108592165A (en) * | 2018-03-13 | 2018-09-28 | 沈阳久沃能源科技有限公司 | A kind of heat exchange station system optimal control method |
| CN109165418A (en) * | 2018-08-01 | 2019-01-08 | 代傲表计（济南）有限公司 | Indoor temperature measurement method based on family the mount of using heat table data |
| CN109297086A (en) * | 2018-09-10 | 2019-02-01 | 常州英集动力科技有限公司 | Thermal substation load rolling forecast and adaptive corrective method and system at times |
| CN110056931A (en) * | 2019-04-05 | 2019-07-26 | 杭州云谷节能技术有限公司 | A kind of indoor temperature control method of water system heating |
| CN110543108A (en) * | 2019-09-20 | 2019-12-06 | 常州英集动力科技有限公司 | Heating system measurement data correction method and system based on mechanism model prediction |
| CN110762602A (en) * | 2019-10-08 | 2020-02-07 | 华南理工大学 | Energy storage quantitative calculation method for distributed energy heat supply pipe network |
| CN115374866A (en) * | 2022-08-26 | 2022-11-22 | 呼伦贝尔安泰热电有限责任公司海拉尔热电厂 | Method for identifying abnormal heat behavior of user in central heating |
| CN116542541A (en) * | 2023-02-17 | 2023-08-04 | 威海市天罡仪表股份有限公司 | Thermal dynamic estimation method and system for multi-user radiator of next ladder under coding and decoding strategy |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8086353B2 (en) * | 2007-02-08 | 2011-12-27 | Nordio Goteborg AB | Heating system control based on required heating power |
| WO2012002972A2 (en) * | 2010-07-01 | 2012-01-05 | Goldsmith James B | Thermal insulation energy saver device |
| CN104657539A (en) * | 2015-01-13 | 2015-05-27 | 同济大学 | Village and town building reference room heat model-based building energy consumption acquisition method |
| CN105117787A (en) * | 2015-07-14 | 2015-12-02 | 温州科技职业学院 | Model optimization prediction method of greenhouse energy consumption |
| CN105375479A (en) * | 2015-12-14 | 2016-03-02 | 东南大学 | Model predicative control based energy management method of distributed energy resource system |
| CN106354977A (en) * | 2016-09-29 | 2017-01-25 | 南京工业大学 | Method for analyzing indoor thermal environment by utilizing computational fluid dynamics (CFD) model |
-
2017
- 2017-03-10 CN CN201710144244.0A patent/CN107025334B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8086353B2 (en) * | 2007-02-08 | 2011-12-27 | Nordio Goteborg AB | Heating system control based on required heating power |
| WO2012002972A2 (en) * | 2010-07-01 | 2012-01-05 | Goldsmith James B | Thermal insulation energy saver device |
| CN104657539A (en) * | 2015-01-13 | 2015-05-27 | 同济大学 | Village and town building reference room heat model-based building energy consumption acquisition method |
| CN105117787A (en) * | 2015-07-14 | 2015-12-02 | 温州科技职业学院 | Model optimization prediction method of greenhouse energy consumption |
| CN105375479A (en) * | 2015-12-14 | 2016-03-02 | 东南大学 | Model predicative control based energy management method of distributed energy resource system |
| CN106354977A (en) * | 2016-09-29 | 2017-01-25 | 南京工业大学 | Method for analyzing indoor thermal environment by utilizing computational fluid dynamics (CFD) model |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107907357A (en) * | 2017-11-01 | 2018-04-13 | 清华大学 | Test the method and device of central heating system dynamic characteristic |
| CN108197404B (en) * | 2018-01-22 | 2021-03-16 | 河北工业大学 | Building load prediction method based on time genetic characteristics |
| CN108197404A (en) * | 2018-01-22 | 2018-06-22 | 河北工业大学 | A kind of building load Forecasting Methodology based on time hereditary capacity |
| CN108592165A (en) * | 2018-03-13 | 2018-09-28 | 沈阳久沃能源科技有限公司 | A kind of heat exchange station system optimal control method |
| CN109165418A (en) * | 2018-08-01 | 2019-01-08 | 代傲表计（济南）有限公司 | Indoor temperature measurement method based on family the mount of using heat table data |
| CN109297086B (en) * | 2018-09-10 | 2020-10-09 | 常州英集动力科技有限公司 | Heating power station load time-interval rolling prediction and self-adaptive correction method and system |
| CN109297086A (en) * | 2018-09-10 | 2019-02-01 | 常州英集动力科技有限公司 | Thermal substation load rolling forecast and adaptive corrective method and system at times |
| CN110056931A (en) * | 2019-04-05 | 2019-07-26 | 杭州云谷节能技术有限公司 | A kind of indoor temperature control method of water system heating |
| CN110543108A (en) * | 2019-09-20 | 2019-12-06 | 常州英集动力科技有限公司 | Heating system measurement data correction method and system based on mechanism model prediction |
| CN110543108B (en) * | 2019-09-20 | 2022-09-30 | 常州英集动力科技有限公司 | Heating system measurement data correction method and system based on mechanism model prediction |
| CN110762602A (en) * | 2019-10-08 | 2020-02-07 | 华南理工大学 | Energy storage quantitative calculation method for distributed energy heat supply pipe network |
| CN115374866A (en) * | 2022-08-26 | 2022-11-22 | 呼伦贝尔安泰热电有限责任公司海拉尔热电厂 | Method for identifying abnormal heat behavior of user in central heating |
| CN115374866B (en) * | 2022-08-26 | 2023-08-11 | 呼伦贝尔安泰热电有限责任公司海拉尔热电厂 | User abnormal heat behavior identification method in central heating |
| CN116542541A (en) * | 2023-02-17 | 2023-08-04 | 威海市天罡仪表股份有限公司 | Thermal dynamic estimation method and system for multi-user radiator of next ladder under coding and decoding strategy |
| CN116542541B (en) * | 2023-02-17 | 2024-03-26 | 威海市天罡仪表股份有限公司 | Thermal dynamic estimation method and system for multi-user radiator of next ladder under coding and decoding strategy |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107025334B (en) | 2020-05-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107025334A (en) | Central heating system heat user integrated dynamic model method for building up and device | |
| CN108240679B (en) | A kind of heat supply method based on building heating load prediction, device and system | |
| CN107276069A (en) | Approximate the polymerization modeling method and system of a kind of area power grid resident temperature control load | |
| CN204027850U (en) | The intelligent performance testing device of heat exchanger of energy-efficient environment-friendly multifunctional | |
| CN104749999B (en) | The Turbo-generator Set cold end system optimization operation of assembling wet cooling tower accurately instructs system | |
| Castaldo et al. | Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review | |
| CN108197404A (en) | A kind of building load Forecasting Methodology based on time hereditary capacity | |
| CN105372082A (en) | Energy-saving environment-friendly multifunctional intelligent heat exchanger performance test system | |
| Panyafong et al. | Heat load estimation using artificial neural network | |
| WO2023160284A1 (en) | Carbon emission flow calculation method and apparatus for regional integrated energy system | |
| CN109992846A (en) | The emulation mode of solar cross-season underground pipe accumulation of heat | |
| Lei et al. | Prediction method of energy consumption for high building based on LMBP neural network | |
| Zhang et al. | Thermal environment model construction of Chinese solar greenhouse based on temperature–wave interaction theory | |
| CN113757781A (en) | Heat supply load prediction energy-saving control method and system based on BP neural network prediction model | |
| CN201903520U (en) | Comprehensive experimental device for artificial climate | |
| CN108596478A (en) | A kind of building energy management method based on Physical Network | |
| CN107688698A (en) | Temperature sensor laying method in a kind of building unit | |
| CN115688388A (en) | Residential building environment adjusting method based on big data | |
| CN103162347A (en) | Intelligent heating metering system and controlling method | |
| CN107655057A (en) | Integrally coordinate heating system and control method in net source | |
| Li et al. | The solution and simulation of the condensation problem of the capillary network system in the children's hospital of Shenyang in summer | |
| Xie et al. | New method of integrating experiment for maintaining low indoor temperature into numerical modelling: A feasibility demonstration in reduced-scale building model | |
| CN207422321U (en) | Integrally coordinate heating system in net source | |
| CN203981418U (en) | Fibre Optical Sensor becomes power thermal response test instrument | |
| CN205334265U (en) | Indoor temperature changes time -recorder |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |