CN109214685A - A kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology - Google Patents
A kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology Download PDFInfo
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Abstract
The present invention relates to a kind of best feasibility evaluation methods of heavy-duty diesel vehicle emission-reduction technology, this method is directed to the characteristics of heavy-duty diesel vehicle emission control technique, construct the evaluation system of multi-factors and multistage evaluation index, pass through the quantification treatment to evaluation index attribute value, all kinds of evaluation indexes are parameterized, to the emission control technique of more visual in image assessment heavy-duty diesel vehicle, technical support is provided effectively to carry out heavy-duty diesel vehicle pollution control, formulating relevant criterion law & policy.
Description
Technical field
The present invention relates to motor vehicle for saving energy and reducing emission technical fields, and in particular to a kind of heavy-duty diesel vehicle emission-reduction technology is most
Good feasibility evaluation method.
Background technique
Currently, with economic rapid development, China's air environmental pollution problem is increasingly serious.Heavy-duty diesel vehicle discharge
Control technology plays a significant role to disposal of pollutants is reduced, and is accurately commented the best feasibility of heavy-duty diesel vehicle emission-reduction technology
Estimate, can more fully understand emission-reduction technology and apply rear bring benefit, provides data ginseng for heavy-duty diesel vehicle pollution control
It examines, also provides foundation for pollution reduction Potentials.But the best feasibility assessment work of the emission-reduction technology in China at present
The industries such as coal-burning power plant, Industrial Boiler are concentrated mainly on, the research to the assessment of vehicular emission control technology is simultaneously few, and by
In the improper of appraisal procedure, the assessment result of feasibility best for heavy-duty diesel vehicle emission-reduction technology is asked there are reliability is low
Topic, lead to assessment result can refer to sexual valence value and little.
It can be seen that how to provide a kind of scientific and reasonable, high reliablity best feasibility of heavy-duty diesel vehicle emission-reduction technology
Appraisal procedure become those skilled in the art's technical problem urgently to be resolved.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of scientific and reasonable, high reliablity heavy-duty diesel vehicle emission reductions
The appraisal procedure of the best feasibility of technology.
The technical scheme to solve the above technical problems is that a kind of the best of heavy-duty diesel vehicle emission-reduction technology can
Row appraisal procedure, method includes the following steps:
1) assessment object set is set as Y={ Y1, Y2..., Yn,
2) U is set as set of factors, and element in set of factors U is divided into p mutually disjoint subset of factors U={ U1, U2...,
Up}；
3) assume subset of factors UkContain m evaluation index, i.e. Uk={ uk1, uk2..., ukm, for assessing object set Y
In assessment object subset Yj(j=1,2 ..., n), with vector Xj(k) attribute value of m evaluation index, X herein are indicatedj
It (k) is to Uk={ uk1, uk2..., ukmIn m evaluation index assignment, it may be assumed that
Xj(k)=(x1j(k), x2j(k) ..., xmj(k))
4) for subset of factors Uk, the attribute value X of n evaluation indexkIt is indicated with following matrix:
5) respectively to subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing；
6) according to subset of factors UkIn each factor role size make weight distribution, and by matrix compound operation,
To each subset of factors Uk(k=1,2 ..., p) carries out preliminary assessment；
7) according to subset of factors UkPreliminary assessment result and by matrix operation, synthesis is carried out to set of factors U and is commented
Estimate.
The beneficial effects of the present invention are: the characteristics of being directed to heavy-duty diesel vehicle emission control technique, constructs multi-factors and multistage
The evaluation system of evaluation index is parameterized all kinds of evaluation indexes by the quantification treatment to evaluation index attribute value, thus
The emission control technique of more visual in image assessment heavy-duty diesel vehicle, effectively to carry out heavy-duty diesel vehicle pollution control, formulating
Relevant criterion law & policy provides technical support.
Based on the above technical solution, explanation is further explained to technical solution of the present invention.
Further, the evaluation index includes qualitative index and quantitative target.
Further, to subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing, including it is following
Step:
(1) according to the grade of qualitative index and by way of literature survey and expert analysis mode, to subset of factors UkN
The attribute value of qualitative index carries out assignment, assigned result x in a evaluation indexiMeet xi∈ [0,1]；The ranking score of qualitative index
Preferably/easily, preferably/be easier to, in, light poor/more difficult, poor/difficult have Pyatyi altogether；
(2) technical merit of the attribute value of the qualitative index after assignment, calculation formula are calculated are as follows:
Wherein, uiFor the technical merit after the attribute value assignment of i-th qualitative index；xiFor i-th qualitative index attribute
The assignment of value；
(3) to subset of factors UkN evaluation index in the attribute value of quantitative target carry out normalized quantized processing, adopt
With following equation:
Wherein, viFor i-th quantitative target attribute value by normalization variation after value；xiQuantitatively refer to for i-th
Target attribute value；A, b are the boundary value of the attribute value of i-th quantitative target.
Beneficial effect using above-mentioned further scheme is that evaluation index is divided into qualitative index and quantitative target two greatly
Class carries out quantification treatment respectively, and wherein qualitative index is handled using grade assignment method, quantitative target using normalization method into
Row processing, the evaluation index of each factor after finally obtaining parametrization, to intuitively show each evaluation index information.
Further, to subset of factors UkCarry out preliminary assessment, comprising the following steps:
(1) by the technical merit u of the attribute value of i-th qualitative index after assignmentiIt is quantitative with i-th after normalization variation
The value v of the attribute value of indexiUnified definition is subset of factors UkMiddle factor ukiDegree of membership；
(2) by subset of factors UkIn each factor ukiDegree of membership form degree of membership evaluating matrix Ek:
(3) according to subset of factors UkIn each factor role size, determine weight distribution matrix Ak=(a1(k),a2
(k),…,am(k)), and
(4) to degree of membership evaluating matrix EkWith weight distribution matrix AkCompound operation is carried out, is obtained to subset of factors Uk's
Assessment result Bk, the process of compound operation are as follows:
Bk=Ak·Ek=(bk1, bk2... bkn), (k=1,2 ..., p)
Wherein, BkFor subset of factors UkAssessment result, AkFor weight distribution matrix, EkFor degree of membership evaluating matrix.
Further, comprehensive assessment is carried out to set of factors U, comprising the following steps:
(1) by p subset of factors U in set of factors Uk(k=1,2 ..., p) regards p Dan Yin on subset of factors U as
Element, by each subset of factors UkThe size of the effect played in set of factors U determines total weight distribution matrix A, i.e.,
A={ a1, a2... ap}；
(2) according to each subset of factors UkAssessment result Bk(k=1,2 ..., p) obtains total single factor test evaluating matrix E,
I.e.
(3) total weight distribution matrix A and total single factor test evaluating matrix E are done into compound operation, obtains set of factors U's
Comprehensive assessment matrix B, calculating process are as follows:
Wherein, A is total weight distribution matrix, and B is the comprehensive assessment matrix of set of factors U, and E is that total single factor test is assessed
Matrix, bj(j=1,2 ..., n) is evaluation factor.
Further, the evaluation factor bjIt is calculated, calculating process by being weighted and averaged mode (⊕-⊙) are as follows:
Wherein, bjFor evaluation factor, aiFor weighted factor, uijFor subset of factors UkIn factor.
Beneficial effect using above-mentioned further scheme is: in order to consider each factor comprehensively, to all factors according to weight
Size equalization take into account, suitable for requiring the situation of global index, corresponding evaluation factor is using weighted average mode computation.
Further, the quantitative target includes economic indicator and environmental index, and the qualitative index includes technical indicator.
Further, the environmental index includes NOXEmission reduction efficiency and PM emission reduction efficiency, the economic indicator include installation
Cost and operation cost, the technical indicator include technical stability, technical complexity and technology upgrading.
The characteristics of beneficial effect using above-mentioned further scheme is for heavy-duty diesel vehicle emission control technique, building
Multi-factors and multistage evaluation index system including 3 aspect such as environment, economy, technology totally 8 indexs, can more comprehensively, more
Add the complete assessment realized to heavy emission of diesel engine control technology.
Detailed description of the invention
Fig. 1 is that a kind of method of the best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology of the present invention executes process
Figure；
Fig. 2 is in a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology of the present invention to subset of factors Uk
The attribute value of n evaluation index carry out the method flow diagram of normalized quantized processing；
Fig. 3 is in a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology of the present invention to subset of factors Uk
Carry out the method flow diagram of preliminary assessment；
Fig. 4 is to carry out in a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology of the present invention to set of factors U
The method flow diagram of comprehensive assessment；
Fig. 5 is an a kind of specific implementation of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology of the present invention
The composition schematic diagram of the medium and heavy emission of diesel engine control technology evaluation index of example.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in Figure 1, a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology is present embodiments provided,
Method includes the following steps:
S1: assessment object set is set as Y={ Y1, Y2..., Yn,
S2: U is set as set of factors, element in set of factors U is divided into p mutually disjoint subset of factors U={ U1,
U2..., Up}；
S3: assuming that subset of factors UkContain m evaluation index, i.e. Uk={ uk1, uk2..., ukm, for assessing object set Y
In assessment object subset Yj(j=1,2 ..., n), with vector Xj(k) attribute value of m evaluation index is indicated, it may be assumed that
Xj(k)=(x1j(k), x2j(k) ..., xmj(k))
S4: for subset of factors Uk, the attribute value X of n evaluation indexkIt is indicated with following matrix:
S5: respectively to subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing；
S6: according to subset of factors UkIn each factor role size make weight distribution, and pass through the compound fortune of matrix
It calculates, to each subset of factors Uk(k=1,2 ..., p) carries out preliminary assessment；
S7: according to subset of factors UkPreliminary assessment result and by matrix operation, synthesis is carried out to set of factors U and is commented
Estimate.
Specifically, evaluation index includes qualitative index and quantitative target.
As shown in Fig. 2, to subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing, including with
Lower step:
A, according to the grade of qualitative index and by way of literature survey and expert analysis mode, to subset of factors UkN
The attribute value of qualitative index carries out assignment, assigned result x in evaluation indexiMeet xi∈ [0,1]；
B, the technical merit of the attribute value of the qualitative index after assignment, calculation formula are calculated are as follows:
Wherein, uiFor the technical merit after the attribute value assignment of i-th qualitative index；xiFor i-th qualitative index attribute
The assignment of value；
C, to subset of factors UkN evaluation index in the attribute value of quantitative target carry out normalized quantized processing, use
Following equation:
Wherein, viFor i-th quantitative target attribute value by normalization variation after value；xiQuantitatively refer to for i-th
Target attribute value；A, b are the boundary value of the attribute value of i-th quantitative target.
Referring to attached drawing 3, to subset of factors UkCarry out preliminary assessment, comprising the following steps:
D, by the technical merit u of the attribute value of i-th qualitative index after assignmentiQuantitatively refer to i-th after normalization variation
The value v of target attribute valueiUnified definition is subset of factors UkMiddle factor ukiDegree of membership；
E, by subset of factors UkIn each factor ukiDegree of membership form degree of membership evaluating matrix Ek:
F, according to subset of factors UkIn each factor role size, determine weight distribution matrix Ak=(a1(k), a2
(k),…,am(k)), and
G, to degree of membership evaluating matrix EkWith weight distribution matrix AkCompound operation is carried out, is obtained to subset of factors UkComment
Estimate result Bk, the process of compound operation are as follows:
Bk=Ak·Ek=(bk1, bk2... bkn), (k=1,2 ..., p)
Wherein, BkFor subset of factors UkAssessment result, AkFor weight distribution matrix, EkFor degree of membership evaluating matrix.
As shown in figure 4, carrying out comprehensive assessment to set of factors U, comprising the following steps:
H, by p subset of factors U in set of factors Uk(k=1,2 ..., p) regards p single factor test on set of factors U as,
By each subset of factors UkThe size of the effect played in set of factors U determines total weight distribution matrix A, i.e.,
A={ a1, a2... ap}；
I, according to each subset of factors UkAssessment result Bk(k=1,2 ..., p) obtains total single factor test evaluating matrix E,
I.e.
J, total weight distribution matrix A and total single factor test evaluating matrix E are done into compound operation, obtains the comprehensive of set of factors U
Close evaluating matrix B, calculating process are as follows:
Wherein, A is total weight distribution matrix, and B is the comprehensive assessment matrix of set of factors U, and E is that total single factor test is assessed
Matrix, bj(j=1,2 ..., n) is evaluation factor.
In a specific embodiment, in order to consider each factor comprehensively, to all factors according to the size equalization of weight
It takes into account, suitable for requiring the situation of global index, corresponding evaluation factor is using weighted average mode computation, specifically, assessment
Factor bjBy being weighted and averaged modeIt is calculated, calculating process are as follows:
Wherein, bjFor evaluation factor, aiFor weighted factor, uijFor subset of factors UkIn factor.
Introduction is described in detail to the above method below by specific example.
Firstly, with state's sixfold type emission of diesel engine control technology for this assessment object.
Referring to attached drawing 5, U is set as set of factors, it is specific that element in set of factors U is divided into 3 mutually disjoint subset of factors
Ground, U={ U1, U2, U3}={ environmental index, economic indicator, technical indicator }；
Wherein, U1={ u11, u12}={ NOXEmission reduction efficiency, PM emission reduction efficiency }
U2={ u21, u22, u23}={ installation cost, operation cost, service life }
U3={ u31, u32, u33}={ technical stability, technical complexity, technology upgrading }；
The main indicator for determining emission control technique is referred mainly to by taking state's sixfold type emission of diesel engine control technology as an example
Mark is as shown in table 1 below:
The main indicator of 1 state's sixfold type emission of diesel engine control technology of table
Wherein, equipment installation cost, average conversion efficiency, duration of service data be to be investigated by enterprise
It arrives.
Quantification treatment is carried out to above-mentioned evaluation index respectively:
Since evaluation grade between index and dimension have differences, does not have comparativity, can not be directly comprehensively compared,
Therefore evaluation index is quantified.Evaluation index quantization common method mainly has normalization method (quantitative target) and grade to assign
Value method (qualitative index), is divided into quantitative target and qualitative index for evaluation index in evaluation process, respectively with normalization method and
Grade assignment method quantifies it.
Specifically, the quantization of qualitative index, certain by way of literature survey and expert analysis mode to different control technologies
Item index carries out assignment, and assigned result is usually between [0,1], and assignment is bigger, shows that the technical merit based on this index is got over
It is good.Assignment is carried out according to the grade of qualitative index first, grade and assigned result are as shown in table 2 below:
2 qualitative index grade of table and corresponding assignment table
Then computing technique score according to the following formula:
In formula, uiFor the technical merit after the attribute value assignment of i-th qualitative index；xiFor i-th qualitative index attribute
The assignment of value；uiValue is bigger, illustrates that the score based on this technical indicator is higher.
The quantization of quantitative target, takes normalization method to be quantified.For emission reduction efficiency, equipment cost, the increased energy
Consumption, the quantization of equipment life can be carried out using following equation:
Wherein, viFor i-th quantitative target attribute value by normalization variation after value；xiQuantitatively refer to for i-th
Target attribute value；A, b are the boundary value of the attribute value of i-th quantitative target.
Wherein, the parameter of normalization method has respective corresponding boundary condition, by way of Experts ', determines each
Boundary condition is as follows:
Wherein, NOxThe a of emission reduction efficiency be 2.0g/kWh, b be 0.4g/kWh (be a with five standard steady-cycle in stable state limit value of state,
Six standard steady-cycle in stable state limit value of state is b)；
The a of PM emission reduction efficiency is 0.02g/kWh, and b is that 0.01g/kWh (is a, state six with five standard steady-cycle in stable state limit value of state
Standard steady-cycle in stable state limit value is b)；
The a of installation cost is 2000 yuan, and b is 0 yuan；
The a of operation cost is 15%, b 0；
Service life is all 6 years, so quantized result is all 1.
Each technology to be evaluated is obtained in indices by literature survey, expert consulting based on comprehensive assessment index system
Under assignment grade and numerical value, heavy-duty diesel vehicle emission control technique quantized result is as shown in table 3, wherein in table bracket number
According to for quantization after result.
3 heavy-duty diesel vehicle emission control technique quantification of targets result of table
Preliminary assessment:
Although each technical indicator is quantified, weight of each index in evaluation process is different, therefore each skill
It can not compare between art or directly.Each index weights have been determined herein by Specialist Research, literature survey.Weighted value such as table 4
It is shown:
4 evaluation index weight table of table
Wherein, first class index weight refers to the weight of coal-burning power plant PM2.5 control technology assessment；Two-level index weight root
It is determined according to expert opinion.
Economic indicator, environmental index and technical indicator are assessed respectively according to data obtained above:
(1) environmental index is assessed
Since the environmental index of this paper is NOx, PM emission reduction efficiency be all to be with state five, six standard steady-cycle in stable state limit value of state
Boundary condition, so comprehensive assessment matrix B1=(1,1).
(2) economic indicator is assessed
Two-level index weight matrix A is determined according to Specialist Research2=(0.6,0.3,0.1) is integrated after weighted average
Evaluating matrix B2=(0.542,0.592).
(3) technical indicator is assessed
Determine the second level weight matrix A of technical indicator3=(0.375,0.375,0.25) is integrated after weighted average
Evaluating matrix B3=(0.925,0.825)
Comprehensive assessment:
The weight matrix A=(0.5,0,25,0.25) for determining comprehensive assessment, finally obtaining comprehensive assessment result is B=
(0.867,0.854).
According to above table and shown formula, state's sixfold type emission of diesel engine control is obtained according to Fuzzy Synthetic Evaluation
Score is assessed in technological synthesis processed, and assessment result is as shown in table 5:
5 heavy-duty diesel vehicle control technology comprehensive assessment result of table
Assess the best feasibility of emission control technique from high to low according to comprehensive score, the technology of highest scoring is exactly
The best feasibility of best practicable technology, score emission control technique from high to low successively reduces.It is not difficult to send out according to upper table data
It is existing, its feasibility intuitively can be understood from scoring event for heavy-duty diesel vehicle control technology, easily facilitate and it is divided
Analysis is compared.
The appraisal procedure of the best feasibility of heavy-duty diesel vehicle emission-reduction technology provided in this embodiment is arranged for heavy-duty diesel vehicle
The characteristics of putting control technology constructs the evaluation system of multi-factors and multistage evaluation index, passes through the amount to evaluation index attribute value
Change processing, all kinds of evaluation indexes are parameterized, thus the emission control technique of more visual in image assessment heavy-duty diesel vehicle,
Technical support is provided effectively to carry out heavy-duty diesel vehicle pollution control, formulating relevant criterion law & policy.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology, which comprises the following steps:
1) assessment object set is set as Y={ Y1, Y2..., Yn,
2) U is set as set of factors, and element in set of factors U is divided into p mutually disjoint subset of factors U={ U1, U2..., Up}；
3) assume subset of factors UkContain m evaluation index, i.e. Uk={ uk1, uk2..., ukm, for commenting in assessment object set Y
Estimate object subset Yj(j=1,2 ..., n), with vector Xj(k) attribute value of m evaluation index is indicated, it may be assumed that
Xj(k)=(x1j(k), x2j(k) ..., xmj(k))
4) for subset of factors Uk, the following matrix X of the attribute value of n evaluation indexkIt indicates:
5) respectively to subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing；
6) according to subset of factors UkIn each factor role size determine weight, and by matrix compound operation, to each factor
Subset Uk(k=1,2 ..., p) carries out preliminary assessment；
7) according to subset of factors UkPreliminary assessment result and by matrix operation, comprehensive assessment is carried out to set of factors U.
2. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 1, which is characterized in that
The evaluation index includes qualitative index and quantitative target.
3. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 2, which is characterized in that
To subset of factors UkThe attribute value of n evaluation index carry out normalized quantized processing, comprising the following steps:
(1) according to the grade of qualitative index and by way of literature survey and expert analysis mode, to subset of factors UkN assessment
The attribute value of qualitative index carries out assignment, assigned result x in indexiMeet xi∈ [0,1]；
(2) calculate assignment after qualitative index attribute value technical merit, calculation formula are as follows:
Wherein, uiFor the technical merit after the attribute value assignment of i-th qualitative index；xiFor the tax of i-th qualitative index attribute value
Value；
(3) to subset of factors UkN evaluation index in the attribute value of quantitative target carry out normalized quantized processing, use is following
Formula:
Wherein, viFor i-th quantitative target attribute value by normalization variation after value；xiFor the category of i-th quantitative target
Property value；A, b are the boundary value of the attribute value of i-th quantitative target.
4. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 3, which is characterized in that
To subset of factors UkCarry out preliminary assessment, comprising the following steps:
(1) by the technical merit u after the attribute value assignment of i-th qualitative index after assignmentiIt is quantitative with i-th after normalization variation
The value v of the attribute value of indexiUnified definition is subset of factors UkMiddle factor ukiDegree of membership；
(2) by subset of factors UkIn each factor ukiDegree of membership form degree of membership evaluating matrix Ek:
(3) according to subset of factors UkIn each factor role size, determine weight distribution matrix Ak=(a1(k),a2(k),…,
am(k)), and
(4) to degree of membership evaluating matrix EkWith weight distribution matrix AkCompound operation is carried out, is obtained to subset of factors UkAssessment knot
Fruit Bk, the process of compound operation are as follows:
Bk=Ak·Ek=(bk1, bk2... bkn), (k=1,2 ..., p)
Wherein, BkFor subset of factors UkAssessment result, AkFor weight distribution matrix, EkFor degree of membership evaluating matrix.
5. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 4, which is characterized in that
Comprehensive assessment is carried out to set of factors U, comprising the following steps:
(1) by p subset of factors U in set of factors Uk(k=1,2 ..., p) regards p single factor test on set of factors U as, by each
Subset of factors UkThe size of the effect played in set of factors U determines total weight distribution matrix A, i.e.,
A={ a1, a2... ap}；
(2) according to each subset of factors UkAssessment result Bk(k=1,2 ..., p) obtains total single factor test evaluating matrix E, i.e.,
(3) total weight distribution matrix A and total single factor test evaluating matrix E are done into compound operation, the synthesis for obtaining set of factors U is commented
Estimate matrix B, calculating process are as follows:
Wherein, A is total weight distribution matrix, and B is the comprehensive assessment matrix of set of factors U, and E is total single factor test evaluating matrix, bj
(j=1,2 ..., n) is evaluation factor.
6. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 5, which is characterized in that
The evaluation factor bjIt is calculated, calculating process by being weighted and averaged mode (⊕-⊙) are as follows:
Wherein, bjFor evaluation factor, aiFor weighted factor, uijFor subset of factors UkIn factor.
7. according to a kind of any one of claim 2-6 best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology,
It is characterized in that, the quantitative target includes economic indicator and environmental index, and the qualitative index includes technical indicator.
8. a kind of best feasibility evaluation method of heavy-duty diesel vehicle emission-reduction technology according to claim 7, which is characterized in that
The environmental index includes NOXEmission reduction efficiency and PM emission reduction efficiency, the economic indicator include installation cost and operation cost, institute
Stating technical indicator includes technical stability, technical complexity and technology upgrading.
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| 邓双等: "燃煤电厂烟气一次PM_(2.5)控制技术的综合评估", 《中国环境科学》 * |
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| CN110210678A (en) * | 2019-06-06 | 2019-09-06 | 中国环境科学研究院 | A kind of optimization method of moving source discharge standard upgrading path |
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