CN110210138A - Central heating directly buried pipeline thermal insulation material thickness optimization method based on Eco indicator-99 - Google Patents
Central heating directly buried pipeline thermal insulation material thickness optimization method based on Eco indicator-99 Download PDFInfo
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Abstract
The central heating directly buried pipeline thermal insulation material thickness optimization method based on Eco indicator-99 that the invention discloses a kind of, it include: to obtain supply water temperature, return water temperature and the soil moisture hourly, according to the difference of supply water temperature and return water temperature and the soil moisture, and combine the year environmental influence value of the distance between water supplying pipe and return water tube hub line calculating heating season fuel；The outer diameter and thermal insulation material thickness of pipeline, calculate the year environmental influence value of pipe insulation when using value method of equivalent year in conjunction with no thermal insulation material；The year environmental influence value of heating season fuel is added to the year total environment influence value for obtaining central heating system with the year environmental influence value of pipe insulation；Thermal insulation material thickness of the year of central heating system in total environment influence value is optimized using fsolve function, obtains the optimal thermal insulation material thickness under one heating season of central heating system most off year total environment influence value.It can be reduced environmental pollution by the above method.
Description
Technical field
The present invention relates to Heat Supply Engineering field more particularly to a kind of central heating direct-burrieds based on Eco indicator-99
Pipe insulation material thickness optimization method.
Background technique
Currently, mainly economically considering in central heating system the research of the optimal insulation thickness of heat distribution pipeline.
However, the trend of environmental pollution and global warming constantly aggravates, only economically the optimal insulation thickness of analysis conduit is inadequate
's.There is an optimal insulation thickness of angle analysis hot duct of the small part foreign study from environment, but this only research
It is that aerial single tube, Degree Days and system design parameters based on heating system are analyzed.
However, the hot duct in real life is more direct-burried in the twin flue (water supplying pipe and return pipe) of underground,
Method for calculating directly buried heat distribution pipeline road heat loss is different from the method for calculating the heat loss of ground overhead heat distribution pipeline.So
Degree Days based on outside air temperature cannot be used for calculating the heat loss of buried pipeline.And the temperature of soil is calculating radiation loss
When do not account for yet.Supply and return water temperature is also with heat demand, and operation reserve and equipment are continually changing.It should be adopted when calculating
With the supply and return water temperature changed in operational process.In addition, only being calculated during calculating pipeline radiation loss using Degree Days
One-pipe, thus between adjacent channel the interaction of temperature is ignored.
It is counted according to world statistics yearbook, Chinese CO2 emissions in 2017 account for global row up to 9232.6 million tons
The 27.6% of total amount is put, is the most country of global carbon dioxide discharge amount.In China, building energy consumption in 2016 reaches
990.6 hundred million tons of standard coals, account for the 20% of total energy consumption.In north of China heating area, heating energy consumption in 2016 is up to 1.91
Hundred million tce account for the 21% of building energy consumption.Therefore, more researchs should analyze the optimal of central heating direct-buried pipe from environmental
Insulation thickness is to reduce environmental pollution.
Summary of the invention
The object of the present invention is to provide a kind of central heating directly buried pipeline thermal insulation material based on Eco indicator-99
Thickness optimization method, it is possible to reduce environmental pollution.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of central heating directly buried pipeline thermal insulation material thickness optimization method based on Eco indicator-99, comprising:
Supply water temperature, return water temperature and the soil moisture hourly are obtained, according to supply water temperature and return water temperature and soil
The difference of temperature, and combine the year environmental influence value of the distance between water supplying pipe and return water tube hub line calculating heating season fuel；
The outer diameter and thermal insulation material thickness of pipeline, calculate pipe insulation when using value method of equivalent year in conjunction with no thermal insulation material
Year environmental influence value；
The year environmental influence value of heating season fuel is added with the year environmental influence value of pipe insulation and obtains central heating system
The year total environment influence value of system；
Thermal insulation material thickness of the year of central heating system in total environment influence value is optimized using fsolve function,
Obtain the optimal thermal insulation material thickness under one heating season of central heating system most off year total environment influence value.
The year total environment of one heating season of central heating system is influenced comprising the influence of pipe insulation year environment and fuel combustion
Year environment influence.With the increase of thermal insulation material thickness, the year environment that pipe insulation material generates influences near-linear and increases.
On the contrary, the radiation loss of pipeline gradually decreases, i.e., the year environment influence that fuel combustion generates gradually decreases.Therefore, it certainly exists
One the smallest year total environment influence value.Provided by the present invention is a kind of thick based on the pipe insulation material to reduce environmental pollution
Spend optimization method.When central heating system uses optimal thermal insulation material thickness, the year of one heating season of central heating system is total
Environmental impact minimization.As seen from the above technical solution provided by the invention, available optimal thermal insulation material thickness and
The smallest year total environment influences, and effectively reduces environmental pollution.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is a kind of central heating directly buried pipeline heat preservation based on Eco indicator-99 provided in an embodiment of the present invention
The flow chart of material thickness optimization method；
Fig. 2 is central heating directly buried pipeline schematic diagram provided in an embodiment of the present invention；
Fig. 3 is the flow chart provided in an embodiment of the present invention using fsolve function optimization thermal insulation material thickness.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this
The embodiment of invention, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, belongs to protection scope of the present invention.
Eco indicator-99 is a kind of life cycle impact assessment method towards damage, for calculating various products
Discharge is damaged to caused by three classes (i.e. human health, ecosystem quality and resource).Weighted factor is for indicating each classification
Importance (i.e. 40% be used for human health, 40% be used for the ecosystem, 20% be used for resource).Finally, (i.e. by three classifications
Human health, the ecosystem and resource) merge into a score.Therefore, Eco indicator-99 is assessment Product environment
The practical approach of energy.
It is thick that the embodiment of the present invention provides a kind of central heating directly buried pipeline thermal insulation material based on Eco indicator-99
Optimization method is spent, direct-burried has been calculated separately in the water supplying pipe of underground and the heat loss of return pipe, soil is considered in calculating process
Earth temperature and actual supply and return water temperature.It is considered when calculating pipeline entire thermal resistance (additional for the interaction between return pipe
Thermal resistance).The year ring with fuel combustion is influenced using the year environment that Eco indicator-99 method has calculated separately pipe insulation
Border influences.The year total environment that the two addition is heating system is influenced.Finally accurately solved most middle using fsolve function
Excellent insulation thickness.
As shown in Figure 1, being a kind of central heating direct-burried based on Eco indicator-99 provided in an embodiment of the present invention
The flow chart of pipe insulation material thickness optimization method, mainly includes the following steps:
Step 1 obtains supply water temperature, return water temperature and the soil moisture hourly, according to supply water temperature and return water temperature
With the difference of the soil moisture, and combine the distance between water supplying pipe and return water tube hub line calculating heating season fuel year environment shadow
Ring value.
The calculation formula of step are as follows:
In above formula, ehsThe Environmental Factors of every kilogram of fuel are represented,Represent the influence of every kilogram of carbon dioxide because
Son,Represent the impact factor of every kilogram of sulfur dioxide, λinsAnd λgRespectively represent the thermal coefficient and soil of thermal insulation material
Thermal coefficient, tsi, triAnd tgiSupply water temperature hourly, return water temperature and the soil moisture are respectively represented, k represents a heating
The hours of operation in season, M represent molecular mass, and c and s respectively represent the entropy of carbon dioxide and sulfur dioxide, H represent pipeline away from
The depth of burying from the ground, fhUnit heat supply coal consumption is represented, b represents the distance between water supplying pipe and return water tube hub line, and d is represented
The outer diameter of pipeline when without thermal insulation material, x represent the thickness of thermal insulation material.
Step 2, using equivalent year value method in conjunction with no thermal insulation material when pipeline outer diameter and thermal insulation material thickness, calculating pipeline
The year environmental influence value of heat preservation.
The calculation formula of step are as follows:
In above formula, einsRepresent the Environmental Factors of every cubic metre of thermal insulation material, ρinsRepresent the density of thermal insulation material, L
The service life of thermal insulation material is represented, d represents the outer diameter of pipeline when without thermal insulation material, and x represents the thickness of thermal insulation material.
It is worth noting that, step 1 and step 2 do not distinguish the sequencing of execution, the two can synchronize execution, can also be with
Successively execute.
Fig. 2 shows schematically central heating directly buried pipeline schematic diagram, in Fig. 2 each meaning of parameters referring to above, wherein
Ts、trWith tsi、triMeaning it is similar, indicate supply water temperature, return water temperature,
The year environmental influence value of heating season fuel is added with the year environmental influence value of pipe insulation and obtains concentration by step 3
The year total environment influence value of heating system.
The year total environment influence value E of central heating system:
Step 4, using fsolve function to the year of central heating system thermal insulation material thickness in total environment influence value into
Row optimization, obtains the optimal thermal insulation material thickness under one heating season of central heating system most off year total environment influence value.
Above-mentioned steps 1~3 are to predict the year total environment influence value of one heating season of central heating system, and non-final knot
Fruit；Optimization aim is arranged in order to reduce environmental pollution in the embodiment of the present invention are as follows: calculates the year environment shadow of minimum heating season fuel
Ring the optimal thermal insulation material thickness under value.
As shown in figure 3, the preferred embodiment of this step is as follows:
1) target letter is obtained to thermal insulation material thickness x first derivation in conjunction with the year total environment influence value of central heating system
Number:
2) Search Range [x of fsolve function setup thermal insulation material thickness x is utilizedmin,xmax] and interval delta x.
Illustratively, settable Search Range [xmin,xmax] it is [0,3.0], interval delta x is 0.0005.
3) fuzzy solution for tentatively seeking optimal thermal insulation material thickness using zero point theorem, obtains fuzzy solution array.
A, x is defined1=xmin,x2=xmin+Δx；Tentatively seek the fuzzy solution of optimal insulation thickness using zero point theorem；If
Meet zero point theorem for x1It is stored in fuzzy solution array x3In.
B, judge whether to meet x2<xmax；If so, enabling x1=x1+ Δ x, x2=x2+ Δ x, and repeat a step
Rapid a tentatively seeks the fuzzy solution of optimal insulation thickness using zero point theorem；Otherwise, it is transferred to step 4).
4) fsolve function is recycled to seek from fuzzy solution array final as a result, the thermal insulation material after being optimized is thick
Degree.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment can
The mode of necessary general hardware platform can also be added to realize by software by software realization.Based on this understanding,
The technical solution of above-described embodiment can be embodied in the form of software products, which can store non-easy at one
In the property lost storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Within the technical scope of the present disclosure, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims
Subject to enclosing.
Claims (5)
1. a kind of central heating directly buried pipeline thermal insulation material thickness optimization method based on Eco indicator-99, feature exist
In, comprising:
Supply water temperature, return water temperature and the soil moisture hourly are obtained, according to supply water temperature and return water temperature and the soil moisture
Difference, and combine the distance between water supplying pipe and return water tube hub line calculating heating season fuel year environmental influence value；
The outer diameter and thermal insulation material thickness of pipeline, calculate the year ring of pipe insulation when using value method of equivalent year in conjunction with no thermal insulation material
Border influence value；
The year environmental influence value of heating season fuel is added with the year environmental influence value of pipe insulation and obtains central heating system
Year total environment influence value；
Thermal insulation material thickness of the year of central heating system in total environment influence value is optimized using fsolve function, is obtained
Optimal thermal insulation material thickness under one heating season of central heating system most off year total environment influence value.
2. a kind of central heating directly buried pipeline thermal insulation material based on Eco indicator-99 according to claim 1 is thick
Spend optimization method, which is characterized in that it is described calculate heating season fuel year environmental influence value formula are as follows:
In above formula, ehsThe Environmental Factors of every kilogram of fuel are represented,The impact factor of every kilogram of carbon dioxide is represented,Represent the impact factor of every kilogram of sulfur dioxide, λinsAnd λgRespectively represent thermal insulation material thermal coefficient and soil it is thermally conductive
Coefficient, tsi, triAnd tgiSupply water temperature hourly, return water temperature and the soil moisture are respectively represented, k represents a heating season
Hours of operation, M represent molecular mass, and c and s respectively represent the entropy of carbon dioxide and sulfur dioxide, and H represents pipeline distance ground
The depth of burying in face, fhUnit heat supply coal consumption is represented, b represents the distance between water supplying pipe and return water tube hub line, and d is represented without guarantor
The outer diameter of pipeline when adiabator, x represent the thickness of thermal insulation material.
3. a kind of central heating directly buried pipeline thermal insulation material based on Eco indicator-99 according to claim 1 is thick
Spend optimization method, which is characterized in that it is described calculate pipe insulation year environmental influence value formula are as follows:
In above formula, einsRepresent the Environmental Factors of every cubic metre of thermal insulation material, ρinsThe density of thermal insulation material is represented, L is represented
The service life of thermal insulation material, d represent the outer diameter of pipeline when without thermal insulation material, and x represents the thickness of thermal insulation material.
4. a kind of central heating directly buried pipeline heat preservation based on Eco indicator-99 according to claim 1 or 2 or 3
Material thickness optimization method, which is characterized in that using fsolve function to the year of central heating system in total environment influence value
The step of thermal insulation material thickness optimizes include:
Objective function is obtained to thermal insulation material thickness x first derivation in conjunction with the year total environment influence value of central heating system；
Utilize the Search Range [x of fsolve function setup thermal insulation material thickness xmin,xmax] and interval delta x；
The fuzzy solution for tentatively seeking optimal thermal insulation material thickness using zero point theorem, obtains fuzzy solution array；
Fsolve function is recycled to seek from fuzzy solution array final as a result, thermal insulation material thickness after being optimized.
5. a kind of central heating directly buried pipeline thermal insulation material based on Eco indicator-99 according to claim 4 is thick
Spend optimization method, which is characterized in that
Objective function indicates are as follows:
In above formula, E represents the year total environment influence value of central heating system；ehsThe Environmental Factors of every kilogram of fuel are represented,The impact factor of every kilogram of carbon dioxide is represented,Represent the impact factor of every kilogram of sulfur dioxide, λinsAnd λgGeneration respectively
The thermal coefficient of table thermal insulation material and the thermal coefficient of soil, tsi, triAnd tgiRespectively represent supply water temperature hourly, return water
Temperature and the soil moisture, k represent the hours of operation of a heating season, and H represents the depth of burying of the pipeline apart from ground, fhIt represents
Unit heat supply coal consumption, b represent the distance between water supplying pipe and return water tube hub line, einsRepresent the ring of every cubic metre of thermal insulation material
Border impact factor, ρinsThe density of thermal insulation material is represented, L represents the service life of thermal insulation material, and d is managed when representing without thermal insulation material
The outer diameter in road, x represent the thickness of thermal insulation material；
Define x1=xmin,x2=xmin+Δx；Tentatively seek the fuzzy solution of optimal insulation thickness using zero point theorem；If meeting zero
Theorem is put by x1It is stored in fuzzy solution array x3In；
Judge whether to meet x2<xmax；If so, enabling x1=x1+ Δ x, x2=x2+ Δ x, and repeat previous step, i.e., it is sharp
Tentatively seek the fuzzy solution of optimal insulation thickness with zero point theorem；Otherwise, skill group x is obscured using fsolve function3In seek
Accurate solution.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111191384A (en) * | 2020-01-17 | 2020-05-22 | 北京石油化工学院 | Method for determining optimal environment heat preservation thickness of building wall based on genetic algorithm |
| CN115289404A (en) * | 2022-07-25 | 2022-11-04 | 中国石油化工股份有限公司 | Service life prediction method of pipeline heat insulation material, storage medium and equipment |
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| CN111191384A (en) * | 2020-01-17 | 2020-05-22 | 北京石油化工学院 | Method for determining optimal environment heat preservation thickness of building wall based on genetic algorithm |
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