CN108182549A - A kind of Regional Energy Efficiency method for considering Environmental costs - Google Patents
A kind of Regional Energy Efficiency method for considering Environmental costs Download PDFInfo
- Publication number
- CN108182549A CN108182549A CN201810091994.0A CN201810091994A CN108182549A CN 108182549 A CN108182549 A CN 108182549A CN 201810091994 A CN201810091994 A CN 201810091994A CN 108182549 A CN108182549 A CN 108182549A
- Authority
- CN
- China
- Prior art keywords
- energy
- output
- efficiency
- weight
- environmental costs
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000007613 environmental effect Effects 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 21
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 15
- 239000002351 wastewater Substances 0.000 claims description 15
- 230000000694 effects Effects 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 8
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 7
- 239000001301 oxygen Substances 0.000 claims description 7
- 229910052760 oxygen Inorganic materials 0.000 claims description 7
- 239000000126 substance Substances 0.000 claims description 7
- 239000000428 dust Substances 0.000 claims description 6
- 238000003912 environmental pollution Methods 0.000 claims description 6
- 239000002912 waste gas Substances 0.000 claims description 6
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 claims description 4
- 229910017464 nitrogen compound Inorganic materials 0.000 claims description 4
- 238000004445 quantitative analysis Methods 0.000 claims description 4
- GWEVSGVZZGPLCZ-UHFFFAOYSA-N Titan oxide Chemical compound O=[Ti]=O GWEVSGVZZGPLCZ-UHFFFAOYSA-N 0.000 claims 2
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims 1
- 229910052717 sulfur Inorganic materials 0.000 claims 1
- 239000011593 sulfur Substances 0.000 claims 1
- 239000004408 titanium dioxide Substances 0.000 claims 1
- 238000011156 evaluation Methods 0.000 description 13
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 8
- 235000019504 cigarettes Nutrition 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 6
- 239000000843 powder Substances 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 239000003344 environmental pollutant Substances 0.000 description 3
- 231100000719 pollutant Toxicity 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- TXKMVPPZCYKFAC-UHFFFAOYSA-N disulfur monoxide Inorganic materials O=S=S TXKMVPPZCYKFAC-UHFFFAOYSA-N 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- XTQHKBHJIVJGKJ-UHFFFAOYSA-N sulfur monoxide Chemical compound S=O XTQHKBHJIVJGKJ-UHFFFAOYSA-N 0.000 description 2
- 238000003916 acid precipitation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- DOTMOQHOJINYBL-UHFFFAOYSA-N molecular nitrogen;molecular oxygen Chemical compound N#N.O=O DOTMOQHOJINYBL-UHFFFAOYSA-N 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of Regional Energy Efficiency methods for considering Environmental costs, belong to Regional Energy Efficiency technical field, comprise the following steps:S1:Calculating energy-consuming influences the conspicuousness of environment;S2:Introduce non-desirable output rear direction distance function model;S3:Define direction distance function efficiency value;S4:Consider the efficiency value amendment after Environmental costs.The present invention can solve the problems, such as that Regional Energy Efficiency accuracy is not high, more quick accurate, improve measuring and calculating efficiency.
Description
Technical field
The present invention relates to Regional Energy Efficiency technical fields, and in particular to a kind of Regional Energy for considering Environmental costs
Efficiency method.
Background technology
Along with economic fast development, particularly industrialized continuous propulsion, Regional Energy consumption rapid growth, to change
Production of energy and consumption pattern based on the stone energy bring the environmental pollution and ecological disruption of getting worse.The life of fossil energy
The eco-environment resources such as empty gas and water, soil are caused serious pollution and destruction by production, transport, processing conversion and use.Change
The exploitation of the stone energy causes level of ground water and declines, and a large amount of pollutants enter water body and destroy water resource so that soil becomes barren, plants
It is destroyed, the ecosystem is damaged.The atmosphere pollutions such as volume of smoke, sulfur dioxide, the nitrogen oxides of fossil energy burning and exhausting,
Lead to the environmental pollutions such as gray haze, acid rain, seriously endanger the physical and mental health of people.Quantitative analysis of the present invention Regional Energy consumption
Influence to environment proposes to consider the Regional Energy Efficiency method of Environmental costs.
Notification number is that the patent of CN103455718B discloses a kind of energy utilization efficiency evaluation method, including step:From
Four energy, output, environment and sustainability angles, and energy efficiency is built according to the evaluation principle and evaluation content of setting and is commented
Valency model;The evaluation index of energy efficiency evaluation model is chosen according to the evaluation content;Mould is evaluated using the energy efficiency
Type and its evaluation index evaluate the efficiency of energy utilization for being evaluated object;Obtain the efficiency of energy utilization for being evaluated object
Evaluation of estimate.The invention also provides a kind of efficiency of energy utilization evaluation system, is carried out using the technology of the invention to being evaluated object
Evaluation, fully considers that effect and energy-consuming situation of the production of energy efficiency in using energy source overall efficiency can to social economy
The influence of sustainable development can identify the key influence factor of energy efficiency, realize the overall merit of energy efficiency, be imitated for the energy
The research of rate provides data and supports, promotes the raising of energy efficiency.But this method is commented mainly for efficiency of energy utilization
Valency without careful consideration Environmental costs and output, does not form clearly input-output analysis frame, evaluation effect is not smart enough
It is accurate.
Notification number is that the patent of CN105975774 discloses a kind of industrial user's energy profit based on super-efficiency DEA
With efficiency rating method, this method first establishes industrial user's efficiency of energy utilization evaluation system, then passes through hypervelocity rate DEA methods
The level-one of typical industry user, secondary efficiency of energy utilization are solved, and the energy profit of its production link is established according to weight assignment
With efficiency evaluation index, energy recovery utilization ratio index system is finally established, can effectively recognize industrial user's energy profits at different levels
With efficiency and each link efficiency of energy utilization, the side of a set of overall merit efficiency of energy utilization evaluation is more accurately established
Method can efficiently differentiate the efficiency variance between decision package, and the decision package to being evaluated effectively is sorted.But
It is that this method does not account for Environmental costs, measuring and calculating is inaccurate.
Invention content
In view of this, it the present invention provides a kind of Regional Energy Efficiency method for considering Environmental costs, can solve
The problem of Regional Energy Efficiency accuracy is not high, it is more quick accurate.
In order to solve the above technical problems, the technical solution used in the present invention is:
A kind of Regional Energy Efficiency method for considering Environmental costs, comprises the following steps:
S1:Calculating energy-consuming influences the conspicuousness of environment;
S2:Introduce non-desirable output rear direction distance function model;
S3:Define direction distance function efficiency value;
S4:Consider the efficiency value amendment after Environmental costs.
Further, in the step S1, energy-consuming is quantified along with a degree of pollution by quantitative analysis
The degree of energy-consuming effect on environment is studied, setting multivariate regression models is as follows:
In formula, pollution refers to environmental pollution, will use waste water COD discharge capacity respectively, give up
The discharge of ammonia nitrogen compound, SO2 emissions, nitrogen oxide emission and dust discharge amount are weighed in water;EC is energy
Source consumption figure is kernel variable;Pcgdp refers to GDP per capita, and fdi is direct foreign investments;ε is Disturbance;If β recurrence
Coefficient is notable, then illustrates that energy-consuming effect on environment is notable;Conversely, then illustrate that energy-consuming effect on environment is not notable.
Further, in the step S2, it is assumed that constant returns to scale, using each region as decision package DMU, each provinces and regions
Capital invested K, labour L and energy E;Output is divided into two classes, and one kind is desirable output, and Y is weighed with each province's regional GDP;
Another kind is non-desirable output, is arranged respectively with chemical oxygen demand object discharge capacity, SO 2 in waste gas discharge capacity and dust in waste water
B is high-volume weighed to represent;The planning type for introducing non-desirable output rear direction distance function model is:
maxβ
s.t.
X·λ+β·gx≤xk
Y·λ+β·gy≥yk
β·λ+β·gb=bk
λ≥0
In formula, xkIt is the vector input of DMU k, ykBe DMU k output vector, gxAnd gyInput and production are featured respectively
Go out the situation of variation, β is estimated inefficient.
It further,, can be by direction according to non-desirable output rear direction distance function model is introduced in the step S3
Distance function efficiency value is defined as:
In formula, θkIt is used directly for measure of efficiency, wi IRepresent the flexible strategy to i-th kind of input;And wr OFor r kind outputs
Flexible strategy embody the significance level of different indexs, and m, q respectively refer to the type number of input and output, choose m=3, q=1, choose
Weight matrix (w1 I,w2 I,w3 I,w1 O)=(1/6.1/6,1/6,1/2), it is meant that and various inputs and output is subjected to equalization
It treats, i.e., input and output are of equal importance, and the two respectively assigns 1/2 weight;In view of sharing 3 kinds of inputs, part will be put into
Weight further averagely assigns capital, labour and the energy.
Further, it is characterised in that:In the step S4, further direction distance function efficiency value is modified to:
In formula, θkIt is used directly for measure of efficiency, wi IState the flexible strategy to i-th kind of input, wr GFor the desirable output of r kinds
Flexible strategy, wt BFlexible strategy for the non-desirable output of t kinds;The effect of flexible strategy is to embody the significance level of different indexs, can construct
Weight matrix (w1 I,w2 I,w3 I,w1 G,w1 B,w2 B,w3 B);After considering environmental constraints, in Index Weights each to input and output, it will weigh
Weight matrix is set as (1/9,1/9,1/9,1/3,1/9,1/9,1/9), is meant that various inputs, desirable output and non-desirable
The equal fair play of output, the weight of each imparting 1/3;In view of sharing 3 kinds of inputs, the weight for putting into part is further averagely assigned
Capital, labour and the energy are given, i.e., the weight of various inputs is respectively 1/9;Non- desirable output is also equally handled, and will be changed in waste water
Learn the weight that aerobic object discharge capacity, SO 2 in waste gas discharge capacity and dust discharge amount weigh each imparting 1/3, you can calculate
Consider the Regional Energy efficiency of Environmental costs.
The beneficial effects of the invention are as follows:The present invention provides a kind of Regional Energy Efficiency sides for considering Environmental costs
Method introduces non-desirable output rear direction distance function model, by chemical oxygen demand object discharge capacity, sulfur dioxide in waste water by building
The pollutant emissions indexs such as row, nitrogen oxides and the measurement of cigarette (powder) dirt discharge capacity are included in input-production as non-desirable output
Go out analytical framework, measuring and calculating considers the Regional Energy efficiency of Environmental costs, and measuring and calculating is more nearly practical objective circumstances, by environmental factor
Measuring and calculating range is included in, significantly improves the precision of measuring and calculating, and more convenient.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, to the technical side of the embodiment of the present invention
Case is clearly and completely described.Obviously, described embodiment is the part of the embodiment rather than whole of the present invention
Embodiment.Based on described the embodiment of the present invention, those of ordinary skill in the art's all other embodiments obtained, all
Belong to the scope of protection of the invention.
Embodiment 1:In the following, it is further illustrated the present invention by taking Henan Province as an example.
Estimate the conspicuousness of Henan Province's energy-consuming effect on environment, structure considers Henan Province's energy efficiency of Environmental costs
Calculating model, Henan Province's energy efficiency under analysis environments constraint.
(1) impact analysis of Henan Province's energy-consuming to environment.Energy-consuming passes through along with a degree of pollution
Quantitative analysis carrys out the degree of quantitative study energy-consuming effect on environment, and setting multivariate regression models is as follows:
Wherein, pollution refers to environmental pollution, will use the discharge of ammonia nitrogen compound, two in waste water COD discharge capacity, waste water respectively
Sulfur oxide emissions amount, nitrogen oxide emission and cigarette (powder) dirt discharge capacity are weighed;EC is energy consumption, is that core becomes
Amount;Pcgdp refers to GDP per capita.Fdi is direct foreign investments;ε is Disturbance.The energy based on 18 prefecture-level cities of Henan Province,
Environmental data carries out simulation measuring and calculating, the results detailed in Table 1 to the environment influence of Henan Province's energy-consuming.
Influence of 1 energy-consuming of table to environment
Note:1. it is t values in bracket.
2. * is represented in 10% level significantly, * * represent that in 5% level significantly, * * * are represented in 1% level significantly.
From Regression Analysis Result as can be seen that Henan Province often consumes 1,000,000 tons of standard coals, waste water COD discharge capacity can be generated
0.362 ten thousand tons, 0.040 ten thousand tons of ammonia nitrogen compound discharge capacity in waste water generates 0.710 ten thousand tons of SO2 emissions, generates nitrogen oxygen
0.509 ten thousand tons of compound discharge capacity, cigarette (powder) dirt discharge capacity can increase by 0.833 ten thousand tons.It can be seen that Henan Province's energy-consuming is to ring
The influence highly significant in border.
(2) the energy efficiency assessment under environmental constraints.When estimating energy efficiency, chemical oxygen demand in waste water is considered as a whole
The pollutant emissions indexs such as object discharge capacity, SO 2 in waste gas discharge capacity and the measurement of cigarette (powder) dirt discharge capacity, as non-
Desirable output is included in input-output analysis frame.
It is assumed that constant returns to scale, using each provinces and regions as decision package (DMU), each provinces and regions capital invested (K), labour
(L) and the energy (E).Output is divided into two classes, and one kind is desirable output, and (Y) is weighed with each province's regional GDP;Another right and wrong
Desirable output is weighed respectively with chemical oxygen demand object discharge capacity, SO 2 in waste gas discharge capacity and cigarette (powder) dirt discharge capacity in waste water
It measures (being represented with vectorial B).With some provinces and regions DUMkFor, the planning type of the non-desirable output rear direction distance function model of introducing
For:
maxβ
s.t.
X·λ+β·gx≤xk
Y·λ+β·gy≥yk
β·λ+β·gb=bk
λ≥0
Wherein, xkIt is DUMkVector input, ykIt is DUMkDesirable output vector, bkIt is DUMkNon- desirable output to
Amount.gx、gyAnd gbIt is direction vector, features the situation that input, desirable output and non-desirable output change respectively, β is to invalid
Rate is estimated, but it is influenced by direction vector length, after non-desirable output is introduced, further by direction distance function efficiency
Value is modified to:
θkIt is used directly for measure of efficiency.Wherein, wi IState the flexible strategy to i-th kind of input, wr GFor the desirable output of r kinds
Flexible strategy, wt BFlexible strategy for the non-desirable output of t kinds.The effect of above-mentioned flexible strategy is to embody the significance level of different indexs, can
Construct weight matrix
After considering environmental constraints, in Index Weights each to input and output, weight matrix is set as (1/9,1/9,1/9,
1/3,1/9,1/9,1/9) it, is meant that various inputs, desirable output and the non-equal fair play of desirable output, respectively assigns 1/3
Weight;In view of sharing 3 kinds of inputs, further averagely assign the weight for putting into part to capital, labour and the energy, i.e., it is various
The weight of input is respectively 1/9;Non- desirable output is also equally handled, will be two in chemical oxygen demand object discharge capacity, exhaust gas in waste water
Sulfur oxide emissions amount and cigarette (powder) dirt discharge capacity weigh the weight of each imparting 1/3.After considering environmental constraints, each provinces and regions in the whole nation entirely will
Plain energy efficiency results of measuring refers to table 2.
Each provinces and regions total-factor energy efficiency under 2 environmental constraints of table
Note:1. the efficiency value θ in efficiency ranking, that is, formula (5) in tablek, weight matrix for (1/9.1/9,1/9,1/3,
1/9.1/9,1/9)。
②《New China's compilation of statistical data in 60 years》With《China Statistical Yearbook》.
3. the calculating of material values storage employs continuous inventory method, the method for employing single hero (2008).
4. substance base stock and actual GDP are calculated with nineteen fifty-two fixed price.
After using environmental pollution as non-desirable output, 2010, Fujian, Shanghai and Jiangxi were in efficiency leading surface
Row 4,5 are divided in province, the i.e. optimum level in energy efficiency, Guangdong and Beijing, and Henan ranks the 23rd.Fujian in 2014 and
Shanghai is still the highest province of energy efficiency, and as Beijing highly energy-consuming trade moves outside, the energy efficiency of Beijing is promoted to the
Three, and the 23rd, the whole nation is ranked in Henan Province, is further expanded with the gap of national optimal level.As it can be seen that environmental constraints are received
After entering appraisement system, the energy efficiency in Henan Province be in the whole nation fall behind it is horizontal, illustrate the current energy utilization patterns in Henan Province and
Industrial system is still more extensive, and the transition progress of economic structure and energy resource structure lags behind average national level, Henan Province
It needs to accelerate the upgrading of Promoting Industrial constructional transfer, accelerates to promote clean energy resource consumption proportion.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (5)
- A kind of 1. Regional Energy Efficiency method for considering Environmental costs, it is characterised in that:It comprises the following steps:S1:Calculating energy-consuming influences the conspicuousness of environment;S2:Introduce non-desirable output rear direction distance function model;S3:Define direction distance function efficiency value;S4:Consider the efficiency value amendment after Environmental costs.
- 2. a kind of Regional Energy Efficiency method for considering Environmental costs as described in claim 1, it is characterised in that:It is described In step S1, energy-consuming is along with a degree of pollution, by quantitative analysis come quantitative study energy-consuming to environment shadow Loud degree, setting multivariate regression models are as follows:In formula, pollution refers to environmental pollution, will use the discharge of ammonia nitrogen compound, titanium dioxide in waste water COD discharge capacity, waste water respectively Sulfur emissions, nitrogen oxide emission and dust discharge amount are weighed;EC is energy consumption, is kernel variable;Pcgdp refers to GDP per capita, fdi are direct foreign investments;ε is Disturbance;If β regression coefficients are notable, illustrate energy-consuming to ring Border influences notable;Conversely, then illustrate that energy-consuming effect on environment is not notable.
- 3. a kind of Regional Energy Efficiency method for considering Environmental costs as claimed in claim 2, it is characterised in that:It is described In step S2, it is assumed that constant returns to scale, using each region as decision package DMU, each provinces and regions capital invested K, labour L and energy Source E;Output is divided into two classes, and one kind is desirable output, and Y is weighed with each province's regional GDP;Another kind is non-desirable output, point B is not weighed with chemical oxygen demand object discharge capacity, SO 2 in waste gas discharge capacity and dust discharge amount in waste water to represent;Introduce non-conjunction Meaning output rear direction distance function model planning type be:maxβs.t.X·λ+β·gx≤xkY·λ+β·gy≥ykβ·λ+β·gb=bkλ≥0In formula, xkIt is the vector input of DMU k, ykBe DMU k output vector, gxAnd gyInput is featured respectively and output changes Situation, β is estimated inefficient.
- 4. a kind of Regional Energy Efficiency method for considering Environmental costs as claimed in claim 3, it is characterised in that:It is described In step S3, according to non-desirable output rear direction distance function model is introduced, direction distance function efficiency value can be defined as:In formula, θkIt is used directly for measure of efficiency, wi IRepresent the flexible strategy to i-th kind of input;And wr OPower for r kind outputs Number embodies the significance level of different indexs, and m, q respectively refer to the type number of input and output, choose m=3, q=1, selection Weight matrix (w1 I,w2 I,w3 I,w1 O)=(1/6.1/6,1/6,1/2), it is impartial right by various inputs and output progress to be meant that It treats, i.e., input and output are of equal importance, and the two respectively assigns 1/2 weight;In view of sharing 3 kinds of inputs, the power of part will be put into Weight further averagely assigns capital, labour and the energy.
- 5. a kind of Regional Energy Efficiency method for considering Environmental costs as claimed in claim 4, it is characterised in that:It is described In step S4, further direction distance function efficiency value is modified to:In formula, θkIt is used directly for measure of efficiency, wi IState the flexible strategy to i-th kind of input, wr GPower for the desirable output of r kinds Number, wt BFlexible strategy for the non-desirable output of t kinds;The effect of flexible strategy is to embody the significance level of different indexs, can construct weight Matrix (w1 I,w2 I,w3 I,w1 G,w1 B,w2 B,w3 B);After considering environmental constraints, in Index Weights each to input and output, by weight square Battle array is set as (1/9,1/9,1/9,1/3,1/9,1/9,1/9), is meant that various inputs, desirable output and non-desirable output Equal fair play, the weight of each imparting 1/3;In view of sharing 3 kinds of inputs, the weight for putting into part is further averagely assigned and is provided Originally, labour and the energy, i.e., the weight of various inputs is respectively 1/9;Non- desirable output is also equally handled, and chemistry in waste water is needed Oxygen object discharge capacity, SO 2 in waste gas discharge capacity and dust discharge amount weigh the weight of each imparting 1/3, you can calculate consideration The Regional Energy efficiency of Environmental costs.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810091994.0A CN108182549B (en) | 2018-01-30 | 2018-01-30 | Regional energy efficiency measuring and calculating method considering environmental cost |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810091994.0A CN108182549B (en) | 2018-01-30 | 2018-01-30 | Regional energy efficiency measuring and calculating method considering environmental cost |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108182549A true CN108182549A (en) | 2018-06-19 |
CN108182549B CN108182549B (en) | 2021-10-01 |
Family
ID=62551887
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810091994.0A Active CN108182549B (en) | 2018-01-30 | 2018-01-30 | Regional energy efficiency measuring and calculating method considering environmental cost |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108182549B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109063972A (en) * | 2018-07-09 | 2018-12-21 | 南昌大学 | A kind of engineering shop's manufacture system total-factor energy efficiency evaluation method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7091973B1 (en) * | 2003-06-20 | 2006-08-15 | Jonathan Michael Cohen | Apparatus and method for estimating reflected radiance under complex distant illumination |
CN103377253A (en) * | 2012-04-28 | 2013-10-30 | 成刚 | Data envelopment analysis model based on space scanning method |
CN103455718A (en) * | 2013-08-26 | 2013-12-18 | 中国能源建设集团广东省电力设计研究院 | Energy utilization efficiency evaluation method and system |
CN104809522A (en) * | 2015-05-07 | 2015-07-29 | 国家电网公司 | Integrated energy predicting method |
-
2018
- 2018-01-30 CN CN201810091994.0A patent/CN108182549B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7091973B1 (en) * | 2003-06-20 | 2006-08-15 | Jonathan Michael Cohen | Apparatus and method for estimating reflected radiance under complex distant illumination |
CN103377253A (en) * | 2012-04-28 | 2013-10-30 | 成刚 | Data envelopment analysis model based on space scanning method |
CN103455718A (en) * | 2013-08-26 | 2013-12-18 | 中国能源建设集团广东省电力设计研究院 | Energy utilization efficiency evaluation method and system |
CN104809522A (en) * | 2015-05-07 | 2015-07-29 | 国家电网公司 | Integrated energy predicting method |
Non-Patent Citations (6)
Title |
---|
HONGSHAN AI: "The effect estimation and channel testing of the technological progress", 《ECOLOGICAL INDICATORS》 * |
史云鹏: "中国能源消费总量及能源效率研究", 《中国博士学位论文全文数据库》 * |
王玲: "环境效率测度的比较研究", 《中国博士学位论文全文数据库》 * |
白宏坤: "从一组数据看河南能源转型发展成效", 《河南日报》 * |
赫永达: "基于能源消费的资本与能源代替效应研究", 《中国博士学位论文全文数据库》 * |
陈芳: "非合意产出约束下长江经济带能源效率评价与影响因素研究", 《安徽大学学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109063972A (en) * | 2018-07-09 | 2018-12-21 | 南昌大学 | A kind of engineering shop's manufacture system total-factor energy efficiency evaluation method |
CN109063972B (en) * | 2018-07-09 | 2021-07-20 | 南昌大学 | Method for evaluating full-factor energy efficiency of machining workshop manufacturing system |
Also Published As
Publication number | Publication date |
---|---|
CN108182549B (en) | 2021-10-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shen et al. | Can industrial agglomeration achieve the emission-reduction effect? | |
CN110263988B (en) | Data operation optimization method based on power plant desulfurization system | |
Xu et al. | Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process | |
Xu et al. | Material flows and economic growth in developing China | |
Zhang et al. | A genetic algorithm with jumping gene and heuristic operators for traveling salesman problem | |
CN100582262C (en) | Copper flash smelting operation parameter optimization method | |
CN106779165A (en) | Power system environment dispatching method based on urban air-quality Predicting Technique | |
Huang et al. | Shifting from production-based to consumption-based nexus governance: evidence from an input–output analysis of the local water-energy-food nexus | |
Chen et al. | Research on the efficiency of the mining industry in China from the perspective of time and space | |
Shen et al. | Industrial CO 2 Emissions Efficiency and its Determinants in China: Analyzing Differences Across Regions and Industry Sectors. | |
Li et al. | A multi-scenario input-output economy-energy-environment nexus management model for Pearl River Delta urban agglomeration | |
Sun et al. | Research on the competitive and synergistic evolution of the water-energy-food system in China | |
CN108182549A (en) | A kind of Regional Energy Efficiency method for considering Environmental costs | |
CN112101696B (en) | Industrial grey water footprint calculation method considering influence of receiving water body environment | |
CN104636814A (en) | Method and system for optimizing random forest models | |
CN104239975B (en) | Based on the ship piloting scheduling method for improving discrete particle cluster algorithm | |
Xu et al. | How to reach haze control targets by air pollutants emission reduction in the Beijing-Tianjin-Hebei region of China? | |
Guo et al. | Using the quarterly compound fractional grey model to predict the air quality in 22 cities of China | |
Meng et al. | Collaborative emission reduction model based on multi-objective optimization for greenhouse gases and air pollutants | |
Li et al. | An improved non-iterative surface layer flux scheme for atmospheric stable stratification conditions | |
Liu et al. | Exploratory research on influential factors of China’s sulfur dioxide emission based on symbolic regression | |
Lu | Industrial Pollution Governance Efficiency and Big Data Environmental Controlling Measures: A Case Study on Jiangsu Province, China | |
Tunckaya | Performance analysis of novel air pollution forecasting system design in a Turkish cement plant via neural and neuro-fuzzy soft computing | |
Du et al. | Spatiotemporal differentiation and spatial correlation of agricultural total factor productivity in China: an estimation based on the data of prefecture-level cities | |
Akbari-Dibavar et al. | Security interactions of food, water, and energy systems: A stochastic modeling |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |