Summary of the invention
The present invention is directed to the deficiency of prior art; Having proposed a kind of is object with the energy consumption system; Set up the stratification model that reflects energy consumption system integral body and process device usefulness ability situation simultaneously; So that the analytical approach different to employing at all levels; According to the thermodynamic analysis result to energy consumption system integral body and process device monomer with can state making diagnosis, quantitative conclusion and each process device energy of output energy consumption system overall performance utilize and damaed cordition, and the energy consumption of industry diagnostic analysis system of pointed evaluation index is provided; And energy consumption of industry diagnostic analysis method.
Technical scheme of the present invention is following:
Diagnosis of an industrial system can be used with the system energy use to diagnostic analysis, characterized in that: it includes the process data acquisition circuit, the process database, the process data calculation circuit and system configuration module; said process data acquisition circuit industrial process equipment, industrial process within a specified time data, and in accordance with the instrument tag number, respectively, of said industrial process data input into the process database and process data calculation circuit, the process data in the database according to the industrial process used to establish energy systems The process equipment included in the object model of the process equipment, the process plant model elements include device name, enter the name of the media output energy, the energy medium parameters; said process data calculation circuit according to the data acquisition of the industrial process Instrument-bit number corresponding to the energy of the medium enthalpy,
and the enthalpy,
Enter the process database as an energy medium parameters are saved;
Said system configuration module comprises structural arrangements module and parameter configuration module, and said parameter configuration module comprises enthalpic analysis parameter configuration module and
analytical parameters configuration module; Choose the input and output energy medium of said energy consumption system in the input and output energy medium of wherein said structural arrangements module by said process device model, import
analytical parameters configuration module of said parameter configuration module; Said enthalpic analysis parameter configuration module reads enthalpy from the energy medium parameter of said process device model; Be used to calculate the enthalpic analysis result; Said
analytical parameters configuration module reads
value from the energy medium parameter of said process device model, be used for calculating
analysis result.
Said energy balance sheet, ability two are accounted index, energy distribution index; Said energy balance sheet comprises energy value, the income item of input and output each item energy medium and pays a ratio; Said energy balance index comprises energy recovery rate, energy output rating, energy discharge rate and capacity usage ratio; Said energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute.
The
The results include energy use systems thermodynamics sophistication, energy use systems
efficiency of energy use systems in the process equipment
loss coefficient, energy use systems
loss coefficient; process equipment sophistication thermodynamics, process equipment
efficiency, process equipment
loss coefficient.
The output of said enthalpic analysis result and
analysis result input analysis result is concentrated and is exported and show.
Comprise data structure linked database and circuit for calculating energy in the said process data counting circuit; Said data structure linked database calculates corresponding intermediate data according to said industrial process data; And said intermediate data imported said circuit for calculating energy; Said circuit for calculating energy comprises the energy computation model of corresponding each energy medium, and said energy computation model calls said intermediate data and industrial process data calculates and the enthalpy and
of output correspondence
Said industrial process data comprises mass parameter, flow parameter, electrical parameter, mean pressure parameter, medial temperature parameter; Said data structure linked database comprises technological process mixing gas component table, signature coefficient table, saturated vapour thermodynamic data table, superheated vapor thermodynamic data table, mixed gas thermodynamic parameter summary table and the liquid heat mechanics parameter table of corresponding each energy medium.
The energy computation model of said circuit for calculating energy comprises fuel energy computation model, steam energy computation model, mixing material energy computation model and mixed gas energy computation model.
A kind of energy consumption of industry diagnostic analysis method, its step comprises:
1) via the process of data acquisition circuit industrial process equipment, process data and process data of the input process data calculating circuit; industrial process based on said data corresponding to the enthalpy of the energy medium,
and the input enthalpy,
output to the process databases;
2) in said process database, setting up with the process device in the energy consumption system is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter; The enthalpy that said energy medium parameter is said energy medium,
3) the energy medium parameter that combines said process device model to preserve is carried out structural arrangements and parameter configuration; The enthalpic analysis parameter configuration that comprises said energy consumption system in the parameter configuration, and
analytical parameters of energy consumption system and process device configuration; Wherein structural arrangements is in the input and output energy medium of said process device model, to choose the input and output energy medium of said energy consumption system, in order to carry out
analytical parameters configuration of energy consumption system;
4) said enthalpic analysis parameter configuration is at first chosen energy medium from the input and output logistics of said energy consumption system, and specifies the energy value classification of each energy medium; According to energy quantitative conservation relation when changing and shift, calculate the enthalpic analysis result afterwards;
5) The
First define device configuration analysis parameters valid
and the system effectively
After using the process plant model
calculate
analysis results;
6) repeat above-mentioned steps according to scope collection analysis time enthalpy,
according to preset computation period, finally export enthalpic analysis result and
analysis result.
Technique effect of the present invention is following:
The invention of a diagnostic analysis of industrial energy systems, including process data acquisition circuit, the process database, process data calculation circuit and system configuration module; process data acquisition circuit industrial process equipment, industrial process within a specified time data, and in accordance with the instrument Bit number of industrial process data are input process database and process data calculation circuit, the process database based on the establishment of industrial process energy use data contained in the system process equipment for the object model of the process equipment, process equipment model elements include device name, device Enter the name of the media output energy, the energy medium parameters; process data calculation circuit according to industrial process data acquisition instrumentation digit number corresponding to the energy of the medium enthalpy,
and enthalpy,
input process database as an energy medium parameters are saved; system configuration modules include structural configuration module and parameter configuration module, parameter configuration module configuration parameters including enthalpy analysis module and
analysis parameters configuration module; configuration module consists of a process in which the structure of the input device model output energy medium selected energy-using system input and output energy medium for parameter configuration module
analysis parameters configuration module; enthalpy analysis parameter configuration module of the energy from the process media device model parameters read enthalpy values used to calculate the enthalpy analysis,
analysis parameter configuration module of the energy from the process media device model parameters to read
value used Calculation
analyze the results.
The present invention is through the building process device model; And from the input and output energy medium of process device model, choose the input and output energy medium of energy consumption system, utilize degree and energy-saving potential through energy consumption system is whole with what the energy consumption system available energy was judged in evaluation that can situation; Decrease the analysis that distributes with energy consumption system energy-dissipation structure and
and find out energy consumption system with the ability weak link.Membership and hierarchical relationship between process device model and the energy consumption system have been embodied; Make enthalpic analysis result and
analysis result more can embody the ability energy utilization and the damaed cordition of energy consumption system and process device; The analysis result better authenticity and the specific aim of output are for the main object of confirming the energy consumption system transformation provides foundation.
Process data counting circuit of the present invention comprises according to the classify pairing energy computation model of different-energy medium of gained of the characteristics of industrial enterprise's energy medium; Call intermediate data and industrial process data calculate and output is corresponding enthalpy, entropy and
characteristics according to the pairing energy computation model of different-energy medium according to industrial enterprise's energy medium; Medium is classified; With this basis that is categorized as; Set up the energy computation model of different-energy medium, simplified the computation process of energy datum greatly.Utilize this model real-time to obtain the required energy datum of enterprise's energy analysis equal energy source management work, for enterprise carries out deep with diagnosing and analytical work provides the data basis.
Embodiment
The present invention will be described below in conjunction with accompanying drawing.
It is purpose that energy consumption system among the present invention refers to obtain product; The integral body that organically couples together by several processes equipment; Form this integral body and generally need multiclass various procedures equipment, between each process device, participate in multiple ability stream of also having of energy exchange and energy medium simultaneously.
As shown in Figure 1, energy consumption of industry diagnostic analysis of the present invention system comprises process data Acquisition Circuit 1, process database 2, process data counting circuit 3, system configuration module 4 and analysis result output collection 5.Process data Acquisition Circuit 1 is through the industrial process data of DCS system (industries process control system) gatherer process equipment, and like the attribute of intake medium with the output energy medium, the energy medium attribute comprises temperature, flow and pressure; These industrial process datas are input in the process database 2 according to the instrument item and preserve.In process database 2, setting up with the process device is the process device model of object; The data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter, wherein the energy medium parameter is enthalpy, entropy,
data that provided by process data counting circuit 3.
Comprise data structure linked database 31 and circuit for calculating energy 32 in the process data counting circuit 3, circuit for calculating energy 32 comprises fuel energy computation model 321, steam energy computation model 322, mixing material energy computation model 323, mixed gas energy computation model 324.Comprise structural arrangements module and parameter configuration module in the system configuration module 4; Wherein choose the process device model of the process device that energy consumption system comprises in the process device model of structural arrangements module by process database 2; By the input and output energy medium of choosing whole energy consumption system in the selected process device model input and output energy medium, be used to carry out
analytical parameters configuration module of whole energy consumption system; Parameter configuration module comprises enthalpic analysis parameter configuration module and
analytical parameters configuration module, to analysis result output collection 5 output enthalpic analysis results,
analysis result.Enthalpy analysis results include energy recovery and energy discharge rate, energy efficiency, energy output rate;
analysis results including the use of thermodynamic energy system sophistication, energy use systems
efficiency of energy use systems of each device
loss coefficient, energy use systems
loss coefficient; Equipment thermodynamics sophistication, equipment
efficiency, equipment
loss coefficient.
The energy medium of energy consumption system input and output comprises: supply with the primary energy (coal, oil, rock gas) of energy consumption system and the system of secondary energy (electricity, steam, coke, coal gas) and supply with ability E
Supply withRaw material is brought the input ability E of system of energy consumption system into
InputThe system recoveries that retracting device is collected can E
ReclaimThe system that product is taken out of and thermonegative reaction heat that comprises of energy consumption system output exports ability E
OutputLeaving that system that chilled water, waste gas, the waste liquid of energy consumption system take out of discharges can E
DischargeEnergy diagnosis and the theoretical foundation of analyzing are the first laws of thermodynamics; Thereby the enthalpy of exporting in the use data computing cicuit 3 in the system configuration module 4 of the present invention calculates with
.
A plurality of associated data tables are set in the data structure linked database 31 of process data counting circuit 3; Characteristic according to energy medium defines the energy medium title respectively with energy medium in table; Set the corresponding relation that the energy medium title is intended to confirm different-energy medium and its analysis data and computing method; The coding of energy medium title can combine national regulation code and enterprise energy Media ID to define, to guarantee uniqueness.The corresponding cover associated data table of each energy medium title; In the associated data table, integrate in analysis data, the thermodynamic parameter intake counting circuit 32; Circuit for calculating energy 32 is exported each energy medium corresponding enthalpy, entropy,
data according to results of intermediate calculations.Wherein data structure linked database 31 comprises associated data tables such as technological process mixing gas component table 311, enterprise energy signature coefficient table 312, saturated vapour thermodynamic data table 313, superheated vapor thermodynamic data table 314, mixed gas thermodynamic parameter summary table 315, liquid heat mechanics parameter table 316.
Each component volume content of comprising of technological process mixing gas component table 311 expression mixed gas wherein comprises parameters such as the partial component pressure of mixed gas, the average specific heat at constant pressure that is used to calculate the average specific heat at constant pressure of enthalpy and be used to calculate entropy, gas density.Enterprise energy signature coefficient table 312 derives from State Statistics Bureau's standard.Relation between the expression of saturated vapour thermodynamic data table 313 temperature, pressure and liquid enthalpy, vapour enthalpy and the vapour-liquid enthalpy.Superheated vapor thermodynamic data table 314 is contained each other pressure of steam level in the actual production according to production run, again with temperature value inquiry specific enthalpy and specific entropy, adopts the specific enthalpy under linear interpolation method acquisition actual temperature and the pressure and compares entropy.Mixed gas thermodynamic parameter summary table 315 is divided into ideal gas specific heat capacity coefficient table and standard enthalpy of formation becomes the Entropy Changes table; Ideal gas specific heat capacity coefficient table comprises component sequence number, component code name, component title, molecular formula, ideal gas specific heat capacity coefficient, correction factor, and standard enthalpy of formation becomes the Entropy Changes table and comprises that gas standard generation enthalpy change, standard generate thermodynamic parameters such as the density of free enthalpy change, standard generation Entropy Changes, standard chemical
liquid heat mechanics parameter table 316 expression mixing material, mean specific heat.
Fuel energy computation model 321 in the circuit for calculating energy 32 comprises feed coal energy computation model, oily energy computation model, electric flux computation model; Steam energy computation model 322 comprises saturated vapour energy computation model, superheated vapor energy computation model, saturation water energy computation model.Model in the circuit for calculating energy 32 obtains energy medium through the form in the data query structure connection database 31 and quantizes to calculate needed intermediate data, can obtain the energy parameter of energy medium.
As shown in Figure 2, in circuit for calculating energy 32, the data structure and the computing formula of fuel energy computation model 321 are following:
(a) feed coal energy computation model:
The feed coal energy calculates the model data structure
The model input parameter is quality, signature coefficient, water cut.
Wherein, quality obtains through the instrument item; The energy medium energy medium title of signature coefficient through feed coal related signature coefficient table 312 obtain, water cut ω obtains through the laboratory analysis data, notes unit conversion.
Output parameter is chemical enthalpy, heat
Chemistry enthalpy and heat
obtain through following computing formula:
Chemistry enthalpy Q=quality * signature coefficient * 7000 * 4.1868 (1)
The calorific value of every kilogram of standard coal equivalent of GB regulation is 7000kcal, and by the different separately calorific values standard coal equivalent that to be converted into every kg calorific value be 7000kcal, 7000 units are kcal/kg in the formula with the energy of different cultivars, different content; 1kcal=4.1868kJ; ω is the water cut of feed coal; 2438 is water latent heat, and unit is kJ/kg.
(b) oily energy computation model:
The oil energy calculates the model data structure
The model input parameter is flow, signature coefficient.
Wherein, flow obtains through the instrument item; The energy medium title of signature coefficient through oil related signature coefficient table 312 obtain, note unit conversion.
Output parameter is chemical enthalpy, heat
Chemistry enthalpy Q=quality * signature coefficient * 7000 * 4.1868 (kJ/kg) (3)
(c) electric flux computation model:
Electric flux computation model data structure
The model input parameter is electric weight, signature coefficient, and electric weight obtains through the instrument item, the energy medium energy medium title of signature coefficient through electricity related signature coefficient table 312 obtain, note unit conversion.
Output parameter is enthalpy,
The data structure and the computing formula of steam energy computation model 322 are following:
(i) saturated vapour energy computation model:
The saturated vapour energy calculates the model data structure
Saturated vapour flow, medial temperature, the mean pressure of model input parameter for obtaining through the instrument item
Results of intermediate calculations is through searching temperature or pressure at saturated vapour thermodynamic data table 313, the specific enthalpy HG of acquisition and specific entropy SG.
Output parameter is enthalpy, entropy,
Saturated vapour enthalpy=flow * specific enthalpy (6)
Saturated vapour entropy=flow * specific entropy (7)
The physics of saturated vapour
E
XPh=-(H
0-H)+T
0(S
0-S)=(H-H
0)-T
0(S-S
0) (8)
Wherein, H is a saturated vapour enthalpy under the physical condition; S is a saturated vapour entropy under the physical condition; H
0Be benchmark attitude saturated vapour enthalpy; S
0Be benchmark attitude saturated vapour entropy; T
0Be benchmark attitude temperature.Saturated vapour benchmark attitude is 25 ℃, 0.10133MPa aqueous water, or 25 ℃, 3.169kPa saturated vapour are the benchmark attitude, and this Model Calculation is got 25 ℃, 3.169kPa saturated vapour for the benchmark attitude of steam.
(ii) superheated vapor energy computation model:
The superheated vapor energy calculates the model data structure
Have only at superheated vapor under the situation of physical change, the model input parameter is flow, medial temperature, mean pressure, obtains through the instrument item.
Results of intermediate calculations is specific enthalpy and specific entropy, obtains through looking into superheated vapor thermodynamic data table 314.
Output parameter is enthalpy, entropy,
Superheated vapor enthalpy=flow * specific enthalpy (9)
Superheated vapor entropy=flow * specific entropy (10)
Superheated vapor
E
XPh=-(H
0-H)+T
0(S
0-S)=(H-H
0)-T
0(S-S
0) (11)
Wherein, H is a saturated vapour enthalpy under the physical condition; S is a saturated vapour entropy under the physical condition; H
0Be benchmark attitude saturated vapour enthalpy; S
0Be benchmark attitude saturated vapour entropy; T
0Be benchmark attitude temperature.Saturated vapour benchmark attitude is 25 ℃, 0.10133MPa aqueous water, or 25 ℃, 3.169kPa saturated vapour are the benchmark attitude, and this Model Calculation is got 25 ℃, 3.169kPa saturated vapour for the benchmark attitude of steam.
(iii) saturation water energy computation model:
The saturation water energy calculates the model data structure
The model input parameter is flow, medial temperature, obtains through the instrument item.
Results of intermediate calculations is through searching temperature or pressure at saturated vapour thermodynamic data table 313, the specific enthalpy HF of acquisition and specific entropy SF.
Output parameter is enthalpy, entropy,
Enthalpy=flow (m
3) * 1000 * specific enthalpy (12)
Entropy=flow (m
3) * 1000 * specific entropy (13)
E
XPh=-(H
0-H)+T
0(S
0-S)=(H-H
0)-T
0(S-S
0) (14)
Wherein, H is a saturation water enthalpy under the physical condition; H
0Be benchmark attitude saturation water enthalpy; T is an actual temperature; T
0Be benchmark attitude temperature; S is a saturation water entropy under the physical condition; S
0Be benchmark attitude saturation water entropy.It wherein is the benchmark attitude of saturation water with the status of criterion.
The data structure and the computing formula of mixing material energy computation model 323 are following:
This computation model is equally applicable to pure component liquid.
The mixing material energy calculates the model data structure
The model input parameter is volumetric flow rate, medial temperature, mean pressure, density, mean specific heat.
Wherein, flow, medial temperature, mean pressure obtain through the instrument item; Density and mean specific heat obtain through looking into liquid heat mechanics parameter table 316.
Output parameter is enthalpy, entropy,
The rich methanol liquid of incompressible liquid such as gas liquor, low-temperature rectisol, desulfurization rich solution etc., Cp=Cv=C.Pressure is very little to the enthalpy of liquid and the influence of entropy with respect to temperature variation, ignores at this, thereby can calculate by desirable level meter.Fluid flow is flow metering by volume generally, and the conversion relation of volumetric flow rate and mass rate is: mass rate=volumetric flow rate * density
The specific enthalpy of ∴ mixing material: h=C
p(T-T
0)
Enthalpy=the flow of mixing material * specific enthalpy (15)
The specific entropy of mixing material
Entropy=the flow of mixing material * specific entropy (16)
Mixing material
Wherein, Cp is the mixing material mean specific heat; H is a liquid enthalpy under the physical condition; S is a liquid entropy under the physical condition; H
0Be benchmark attitude liquid enthalpy; S
0Be benchmark attitude liquid entropy; V is the liquid volume flow; T is an actual temperature; T
0Be benchmark attitude temperature.With the status of criterion is the benchmark attitude of mixing material.
The data structure and the computing formula of mixed gas energy computation model 324 are following:
This computation model is equally applicable to pure component gas.
(u) mixed gas physical change computation model:
Mixed gas physical change energy calculates the model data structure
The model input parameter is flow, medial temperature, mean pressure, partial component pressure, average specific heat at constant pressure (enthalpy), average specific heat at constant pressure (entropy).
Wherein, flow, medial temperature, mean pressure obtain through the instrument item; Partial component pressure obtains through the technological process mixing gas component 311 of energy medium names associate; Average specific heat at constant pressure (enthalpy) and average specific heat at constant pressure (entropy) calculate through the ideal gas specific heat capacity coefficient table in the mixed gas thermodynamic parameter summary table 315 and obtain.
Output parameter: physics enthalpy change, physics Entropy Changes, physics
The general semi-invariant of flow is the amount under the design conditions, calculate the mole value, calculates enthalpy again; Its computing method are:
Volumetric flow rate under the amount=status of criterion of compounding substances/0.0224 (mol)
Volumetric flow rate under the status of criterion
wherein is designated as the design conditions that is of D down.
Average specific heat at constant pressure (the T of ideal gas mixture
1~T
2Average specific heat at constant pressure in the temperature range), promptly be used for the specific heat at constant pressure that enthalpy calculates:
T wherein
AmBe the arithmetic mean temperature, n
iBe the amount of each component of mixed gas,
Be the average specific heat at constant pressure of mixed gas,
is the thermodynamics medial temperature.
Be used for the specific heat at constant pressure
that entropy calculates
The physics enthalpy change of mixed gas:
The physics Entropy Changes of mixed gas:
The physics of mixed gas
Wherein,
Be that mixed gas is used for the specific heat at constant pressure that enthalpy calculates,
Be to be used for the specific heat at constant pressure that entropy calculates; T is an actual temperature; T
0Be benchmark attitude temperature; H is a gas enthalpy under the physical condition; S is a gas entropy under the physical condition; H
0Be benchmark attitude gas enthalpy; S
0Be benchmark attitude gas entropy; P is an actual pressure; p
0Be benchmark attitude pressure.With the status of criterion is the benchmark attitude of mixed gas.
(v) mixed gas chemical reaction energy computation model
Mixed gas chemical reaction energy calculates the model data structure
The model input parameter is flow, medial temperature, mean pressure, average specific heat at constant pressure (enthalpy), average specific heat at constant pressure (entropy).
Wherein, flow, medial temperature, mean pressure obtain through the instrument item; Average specific heat at constant pressure (enthalpy) and average specific heat at constant pressure (entropy) calculate through the ideal gas specific heat capacity coefficient table in the mixed gas thermodynamic parameter summary table and obtain.
Results of intermediate calculations be physics enthalpy change, physics Entropy Changes, physics
standard chemical enthalpy, standard chemical entropy, standard chemical
wherein, standard chemical enthalpy, standard chemical entropy, standard chemical
become the Entropy Changes table through the standard enthalpy of formation in the mixed gas thermodynamic parameter summary table 315 and obtain.
Output parameter: enthalpy, entropy,
Comprised physical change process in the mixed gas chemical reaction energy computation model; So the result of enthalpy entropy in the output parameter
is physical change and chemical change enthalpy entropy
sum, wherein the calculating of physics enthalpy change, physics Entropy Changes, physics
as above saves said.
The enthalpy of mixed gas=physics enthalpy change+chemical enthalpy (23)
The entropy of mixed gas=physics Entropy Changes+chemical entropy (24)
As shown in Figure 3; Comprise structural arrangements module and parameter configuration module in the system configuration module 4; Wherein choose the process device model of the process device that energy consumption system comprises in the process device model of structural arrangements module by process database 2; By the input and output energy medium of choosing whole energy consumption system in the selected process device model input and output energy medium, be used to carry out
analytical parameters configuration module of whole energy consumption system; Parameter configuration module comprises enthalpic analysis parameter configuration module and
analytical parameters configuration module.
Wherein the enthalpic analysis parameter configuration module has defined the energy classification of energy consumption system, comprises that supply can E
Supply with, input can E
Input, reclaiming can E
Reclaim, output can E
Output(comprising that product is taken out of can E
ProductWith energy supply E outside the system
The outer confession) and discharge ability E
Discharge, parameters characterizes by each energy medium enthalpy of process data counting circuit 3 output, enthalpy is the entrained energy value of each energy medium, with the energy value of identical category add and get final product above-mentioned all kinds of energy values.
Enthalpic analysis parameter configuration module of the present invention adopts traditional energy analysis method; According to energy quantitative conservation relation in conversion and when shifting, basic skills is that the known energy of the total amount of energy, current effective utilization and the energy that energy loses in transforming, transmit and utilizing of providing just can draw energy consumption efficiency.This method orderliness is clear, analyzes simply, is very helpful to instructing engineering practice.The enthalpic analysis result comprises energy balance sheet, can two accounts index, energy distribution index.Energy balance sheet comprises energy value, the income item of input and output each item energy medium and pays a ratio; Wherein energy balance sheet is as shown in table 1, and the income item is promptly taken in and the ratio of paying two in the table 1 with an expenditure ratio.The energy balance index comprises energy recovery rate η
Reclaim, energy output rating η
Output, energy discharge rate η
DischargeAnd capacity usage ratio η
Utilize, shown in equation (27)~(30).The energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute.
Energy-balance equation:
E
Input+ E
Reclaim+ E
Supply with=E
Output+ E
Discharge+ E
Reclaim=(E
Product+ E
The outer confession)+E
Discharge+ E
Reclaim(26)
Energy recovery rate
Energy discharge rate
Wherein, η
Reclaim+ η
Output+ η
Discharge=1.
Supply can distribute as shown in table 2, is to supply with ability E
Supply withDistribution in different supply sources, can account for supply with various forms of supplies can E
Supply withPercentage recently represent, generally energy is divided into two types of heat energy and power.Input can distribute as shown in table 3, for input can E
InputDistribution in different input sources can account for input ability E with various forms of
InputPercentage recently represent.Discharging to distribute representes like table 4, is to discharge ability E
DischargeDistribution in difference discharge source, there are chilled water, flue gas, product, waste water etc. in the discharge source, can find that according to discharging to distribute which discharge can E
DischargeMight reduce, to confirm energy-conservation direction and measure.Output can distribute as shown in table 5, for output can E
OutputDistribution in different output sources can account for output ability E with various forms of
OutputPercentage recently represent.Recovery can distribute as shown in table 6, is to reclaim ability E
ReclaimDistribution, distribute thus and can grasp each and reclaim in that reclaim can E
ReclaimIn shared ratio, confirm energy-saving potential with this.
Table 1 energy balance sheet example
Table 2 is supplied with the distribution example of ability
Supply with the item that to distribute |
Supply with the distribution % of ability |
Coal |
46.87 |
Process steam |
28.43 |
Purify electricity consumption |
11.32 |
Synthetic electricity consumption |
13.39 |
The distribution example of table 3 input ability
Import the item that to distribute |
The distribution % of input ability |
Oxygen 1 |
0.88 |
The raw gas boiler feed water |
13.87 |
The feedwater of conversion gas boiler |
14.08 |
Oxygen 2 |
2.16 |
Desalted water |
30.38 |
High pressure nitrogen |
4.44 |
Ammonia cooler is used liquefied ammonia |
21.24 |
Table 4 is discharged the distribution example of ability
Discharge the item that to distribute |
Discharge the distribution % of ability |
Methane compressible drive steam condensate (SC) |
23.86 |
Low-pressure steam condensate water 1 |
22.43 |
Low-pressure steam condensate water 2 |
2.82 |
H2S |
17.29 |
The synthesic gas compressor condensate water |
33.59 |
The distribution example of table 5 output ability
Export the item that to distribute |
The distribution % of output ability |
CO2-1 |
8.89 |
CO2-2 |
5.45 |
Hydrogen |
5.90 |
Product liquefied ammonia |
29.36 |
Ammonia cooler goes out gas ammonia |
30.11 |
Light oil |
9.05 |
Fuel gas |
6.69 |
The by-product LP steam |
4.55 |
Table 6 reclaims the distribution example of ability
Reclaim the item that to distribute |
The distribution % of recyclable ability |
Methane compressible drive steam |
100 |
is as a kind of parameter of estimating energy value; From the value that combines estimate energy of amount with matter; The process of
analytical parameters configuration is on the basis that energy consumption system is analyzed; The process device that wherein comprises is carried out profound analysis; The matter that discloses the inner energy that exists of energy consumption system is devalued and loss, the sign energy of science utilize degree.
analysis parameter configuration module defines the process equipment effectively
and energy use systems effectively
Process Device effective
and the use of efficient energy systems
process data calculation circuit 3 by the output process input and output devices logistics
characterization.
is as a kind of parameter of estimating energy value; From the value that combines estimate energy of amount with matter; The process of
analytical parameters configuration module is on the basis that energy consumption system is analyzed; The process device that wherein comprises is carried out profound analysis; The matter that discloses the inner energy that exists of energy consumption system is devalued and loss, the sign energy of science utilize degree.
Analysis result comprises energy consumption system thermodynamics sophistication ε, energy consumption system
Efficient
Each process device in the energy consumption system
Decrease coefficient ξ
i, energy consumption system
Decrease coefficient ξ; Process device thermodynamics sophistication ε
i, process device
Efficient
Process device
Decrease coefficient ζ
i
Energy consumption system thermodynamics sophistication ε is through equation (31) expression, and promptly the system of energy consumption system exports
E
X, outImport with system
E
X, inRatio, system output
E
X, outFor all logistics of going out energy consumption system
Sum, system's input
E
X, inFor all logistics of going into energy consumption system
Sum.
Energy consumption system
Efficient
Through equation (32) expression, promptly the system of energy consumption system is effective
E
X, efAnd systematic cost
E
X, supRatio.Systematic cost
E
X, supServe as reasons the external world bring into each equipment of energy consumption system once with the secondary energy sum, wherein with product
Effective as system
E
X, ef, expressed cost
In what have utilized veritably.
Each process device in the energy consumption system
Decrease coefficient ξ
iThrough equation (33) expression, the i.e. equipment of process device
Decrease E
X, L, iAt systematic cost
E
X, supMiddle proportion.Why not in the reversible process in office, must take place
To
Transformation, this part minimizing
Be transformed into
Be referred to as equipment
Loss E
X, L, iProcess device in the energy consumption system
Decrease coefficient ξ
iNot only can disclose each link
The relative size of loss, and can find out each link clearly
Utilize degree.Equipment
Decrease E
X, L, iBe the equipment input
E
X, in, iExport with equipment
E
X, out, iBetween difference.
Energy consumption system
Decrease coefficient ξ through equation (34) expression, the i.e. system of energy consumption system
Damage is in the energy consumption system cost
Middle proportion, obviously energy consumption system
Decrease coefficient ξ and equal each process device in the energy consumption system
Decrease coefficient ξ
iSummation.
Process device thermodynamics sophistication ε
iThrough equation (35) expression, i.e. the equipment of process device output
E
X, out, iImport with equipment
E
X, in, iThe ratio.Equipment output
E
X, out, iFor going out owning of process device
The stream sum, the equipment input
E
X, in, iFor going into owning of process device
The stream sum.
Process device
Efficient
Through equation (36) expression, promptly the equipment of process device is effective
E
X, ef, iWith the equipment cost
E
X, sup, iRatio; The equipment cost
E
X, sup, iServe as reasons the external world bring into process device once and secondary energy.
Process device
Decrease coefficient ζ
iThrough equation (37) expression, indication equipment
Be lost in the equipment cost
E
X, sup, iIn shared ratio.Equipment
Loss E
X, L, iWith the equipment cost
E
X, sup, iBetween ratio be referred to as equipment
Decrease coefficient ζ
i
Energy consumption of industry diagnostic analysis method of the present invention comprises:
A) through the process of collecting data acquisition circuit an energy-using system procedures device and process data and process data input process data calculation circuit 3; process data calculation circuit 3 according to industrial process data corresponding to calculate the energy medium enthalpy,
and input enthalpy ,
output to the process database 2;
2) in process database 2, setting up with the process device is the process device model of object, the data relation that the process device model is made up of device name, equipment input and output energy medium title, energy medium parameter; The energy medium parameter promptly is enthalpy,
by 3 inputs of process data counting circuit
3) carry out the visualisation parameters configuration through computing machine, the energy medium parameter that the cohesive process device model is preserved is carried out structural arrangements and parameter configuration; Wherein structural arrangements is in process database 2, to choose the process device model that the energy consumption system model is comprised; And in the input and output energy medium of process device model, choose the input and output energy medium of energy consumption system, in order to carry out
analytical parameters configuration of energy consumption system; The enthalpic analysis parameter configuration that comprises energy consumption system in the parameter configuration, and
analytical parameters of energy consumption system and process device configuration;
4) the enthalpic analysis parameter configuration of energy consumption system is at first chosen energy medium from the input and output logistics of energy consumption system, and specifies the energy value classification of each energy medium; Wherein the energy value classification comprises that supply can E
Supply with, input can E
Input, reclaiming can E
Reclaim, output can E
Output(comprising that product is taken out of can E
ProductWith energy supply E outside the system
The outer confession) and discharge ability E
DischargeAfterwards according to energy in conversion and when shifting quantitative conservation relation calculate the enthalpic analysis result, the enthalpic analysis result comprises energy balance sheet, can two accounts index, energy distribution index; Energy balance sheet comprises that balance sheet comprises the energy value of input and output each item energy medium, an income item and an expenditure ratio; The income item is an income and the ratio of paying two in the energy balance sheet with an expenditure ratio.The energy balance index comprises energy recovery rate η
Reclaim, energy output rating η
Output, energy discharge rate η
DischargeAnd capacity usage ratio η
UtilizeThe energy distribution index comprises that supply can distribute, import and can distribute, discharge can distribute, export and can distribute and reclaim and can distribute
5)
Analytical parameters disposes that at first define equipment is effective
Effective with system
Utilize the process device input and output logistics of preserving in the process device model afterwards
Calculate
Analysis result;
Analysis result comprises energy consumption system thermodynamics sophistication ε, energy consumption system
Efficient
Each equipment in the energy consumption system
Decrease coefficient ξ
i, energy consumption system
Decrease coefficient ξ; Process device thermodynamics sophistication ε
i, process device
Efficient
Process device
Decrease coefficient ζ
i
6) according to scope collection analysis time desired data; Data Source is enthalpy,
homenergic parameter that said process data computing cicuit 3 calculates; Carry out multianalysis and calculating according to the energy analysis interpretational criteria, finally to analysis result output collection 5 output enthalpic analysis results and
analysis result.
Should be pointed out that the above embodiment can make those skilled in the art more fully understand the invention, but do not limit the present invention in any way creation.Therefore; Although this instructions has carried out detailed explanation with reference to accompanying drawing and embodiment to the invention,, those skilled in the art are to be understood that; Still can make amendment or be equal to replacement the invention; In a word, all do not break away from the technical scheme and the improvement thereof of the spirit and the scope of the invention, and it all should be encompassed in the middle of the protection domain of the invention patent.