CN105975774A - Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method - Google Patents
Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method Download PDFInfo
- Publication number
- CN105975774A CN105975774A CN201610292936.5A CN201610292936A CN105975774A CN 105975774 A CN105975774 A CN 105975774A CN 201610292936 A CN201610292936 A CN 201610292936A CN 105975774 A CN105975774 A CN 105975774A
- Authority
- CN
- China
- Prior art keywords
- energy
- efficiency
- user
- utilization
- energy utilization
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a super-efficiency DEA (Data Envelopment analysis) model-based industrial user energy utilization efficiency evaluation method. The method comprises the steps of firstly establishing an industrial user energy utilization efficiency evaluation system; secondly solving primary and secondary energy utilization efficiency of a typical industrial user through a super-efficiency DEA method; thirdly establishing energy utilization efficiency evaluation indexes of production links according to weighted distribution; and finally establishing an energy recycling efficiency index system. According to the method, the energy utilization efficiency of each level of the industrial user and the energy utilization efficiency of each link can be effectively identified; a method for comprehensively evaluating energy utilization efficiency is more accurately established; efficiency differences among decision-making units can be effectively distinguished; and the evaluated decision-making units are effectively sorted.
Description
Technical field
The present invention relates to a kind of method evaluating efficiency of energy utilization, particularly relate to a kind of evaluation based on super DEA model
Method.
Background technology
The energy is country and the important lifeblood of society, has both affected the economic growth of whole country, affects again the steady of society
Fixed.And for industrial user in Itellectualized uptown, a lot of energy or power plant with the equipment under common production scene are
Different, it is mainly reflected in running, is usually associated with the utilization of the energy.
" efficiency of energy utilization " of narrow sense refers to " energy resource system efficiency ", and energy resource system efficiency refers in the activity using the energy
Effective quantity of energy obtained by and the ratio of the quantity of energy actually entered, be typically expressed as a percentage.The aggregate efficiency of energy resource system
Typically by production of energy and intermediate link efficiency (including that production of energy process is with processing conversion efficiency and storing efficiency) and end
End utilization ratio composition.Also someone advocates the response rate of energy extraction to be included, but it is possible to the definition of source production efficiency is difficult
To determine: on the one hand total resources shared in resource exploitation is defined unclear;On the other hand the resource of various countries examines tax condition
Different, the height of recovery ratio, except relevant with technical merit, additionally depends on the occurrence condition of resource.
For primary energy utilization ratio, the most widely used method of current scholar is general data Envelope Analysis model
Method (Data Envelopment analysis, vehicle economy A).DEA be famous operational research A.Charnes and
The scholars such as W.W.Cooper started establishment in 1978, were that of mathematics, operational research, mathematical economics and managerial science is new
Crossing domain.DEA method is based on Mathematical Planning thought, relative by set up between linear programming model comparison decision unit
Efficiency, is evaluated decision package.The foundation evaluated is input data and the output data of decision package.Input data are certainly
Plan unit needs the resource expended in certain activity, such as input, labour force, eldest branch of a family's equipment etc.;Output data refer to
Input through the quantity of information of certain production process some output achievement of be converted into decision package, as output quantity, quality, obtain
The profit etc. obtained.DEA method can get rid of a lot of subjective factorss in evaluation procedure, and therefore it is in society, science and technology, economic, religion
The different field such as educate to be with a wide range of applications.At present, the range of application of DEA progressively expands to from original evaluation field
The fields such as prediction, early warning and estimation technique progress.DEA method based on Mathematical Planning thought, by set up linear programming model with
Evaluate the relative efficiency between decision package.DEA method is to evaluate multi input and the highly effective side of one of multi output problem
Method, it is not necessary to determine any type of expression formula between input and output index, there is the characteristic of black box method.DEA method is
The input data of foundation decision package and output data evaluate the quality of decision package, are i.e. evaluated the phase of efficiency of energy utilization
To effectiveness, and the relative effectiveness of each decision package relate to two aspects, and one is built upon being compared to each other basis
On relative effectiveness;Another is that the effectiveness of each decision-making efficiency of energy utilization depends on multi input and throwing during multi output
Enter output ratio.DEA, by the comprehensive analysis to this, draws the efficiency index of each decision package, and according to this by decision package
Deciding grade and level is queued up, and many inputs and many outputs index evaluation on Relative Efficiency Validity to social economic system are the most effective.Therefore, one is set up
Industrial user's energy utilization efficiency evaluation method that the suitability is higher is imperative.
Summary of the invention
Situation about lacking for existing evaluation efficiency of energy utilization method, the present invention proposes a kind of based on super efficiency DEA mould
Industrial user's energy utilization efficiency evaluation method of type.
To achieve the above object of the invention, the technical solution adopted in the present invention is:
A kind of industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA comprises the following steps:
(1) industrial user's efficiency of energy utilization three level evaluation system is set up, including one-level efficient energy conversion, two grades of energy
Source service efficiency and wasted energy recycle efficiency;And the utilization of energy that efficiency of energy utilization is production link of industrial user is set
Efficiency and wasted energy recycle the comprehensive of efficiency:
θ=apθp+arθr
Wherein θp, θrIt is respectively efficiency of energy utilization and energy recovery utilization ratio, a of production linkp, arMake a living respectively
Produce link efficiency of energy utilization and the weight coefficient of energy recovery utilization ratio;
(2) set up typical industry user one-level efficient energy conversion based on hypervelocity rate DEA model, two grades of energy use effect
Rate index system
Hypervelocity rate DEA method expression formula is as follows:
Wherein,It is efficiency index, λjIt is input and output factor, xijI-th input for jth industrial user refers to
Scale value, tijFor the i-th output desired value of jth industrial user,It is respectively and puts into and output slack variable;
(3) the efficiency of energy utilization evaluation index of the production link of typical industry user is set up;
Wherein, θkFor the comprehensive energy cascade utilization efficiency of the kth kind one-level energy, YkKth kind one-level for this industrial user
The total amount consumed of the energy, θk1For the one-level efficiency of energy utilization of the kth kind one-level energy,I-th energy for the kth kind one-level energy
The energy conversion efficiency of source modular converter,The ratio of the kth kind one-level energy, θ is used for i-th energy conversion moduleijIt is
J kind product uses the energy use efficiency of i-th kind of two grades of energy, yijThe energy using i-th kind of two grades of energy for jth kind product disappears
Consumption;
(4) set up wasted energy and recycle efficiency index
θr=Qr/Yr
QrThe energy summation recycled for all energy recycle devices of typical industry user, YrRaw for typical industry user
The recoverable energy summation produced during product.
Beneficial effect: relative to prior art, the present invention first sets up industrial user's efficiency of energy utilization evaluation system, then
Solve the one-level of typical industry user, secondary efficiency of energy utilization by hypervelocity rate DEA method, and set up it according to weight assignment
The efficiency of energy utilization evaluation index of production link, finally sets up energy recovery utilization ratio index system, can effectively identification work
Industry user efficiency of energy utilization at different levels and each link efficiency of energy utilization, more accurately establish a set of overall merit energy profit
By the method for efficiency rating, it is possible to efficiently differentiate the efficiency variance between decision package, and the decision package evaluated is entered
The effective sequence of row.
On the basis of technique scheme, further, production link efficiency of energy utilization and energy recovery utilize effect
The weight coefficient of rate is determined according to the production link of industrial user and the characteristic of energy recovery link.
Further, described industrial user's efficiency of energy utilization evaluation system can be assessed the production process energy and use effect
Rate, also can assess energy recovery cascade utilization efficiency, the highest not over 1
Further, described typical industry user's production link efficiency of energy utilization evaluation index is each according to each industrial user
The energy conversion efficiency of module is different to be weighted analyzing with the product power consumption different sub-indicator of module efficiency of energy utilization.
Further, described industrial user's wasted energy recycles efficiency index by each module energy recovery units at different levels certainly
Fixed.
Further, described industrial user comprises iron and steel class user, petrochemical industry class user, power generation class user, spins
Knit class user, cement class user, pharmacy class user, rubber and Plastic user and paper-making industry class user.
Accompanying drawing explanation
Fig. 1 is the flow process of a kind of industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA of the present invention
Figure.
Fig. 2 is the signal of a kind of industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA of the present invention
Figure.
Detailed description of the invention
Below in conjunction with the accompanying drawings and detailed description of the invention, the present invention is further described.
First, in the present invention for industrial user comprise iron and steel class user, petrochemical industry class user, power generation class use
Family, textile user, cement class user, pharmacy class user, rubber and Plastic user and paper-making industry class user.
As it is shown in figure 1, the energy utilization efficiency evaluation method of the present invention comprises the steps:
(1) setting up industrial user's efficiency of energy utilization three level evaluation system, leading indicator includes that one-level energy conversion is imitated
Rate, two grades of energy use efficiencies and wasted energy recycle efficiency.Choose final efficiency of energy utilization to refer to as the evaluation of each user
Mark, is defined as decision package.The efficiency of energy utilization of industrial user is efficiency of energy utilization and the wasted energy recovery profit of production link
Comprehensive by efficiency:
θ=apθp+arθr (1)
Wherein θp, θrIt is respectively efficiency of energy utilization and energy recovery utilization ratio, a of production linkp, arMake a living respectively
Producing link efficiency of energy utilization and the weight coefficient of energy recovery utilization ratio, this weight coefficient is according to the production ring of industrial user
The characteristic of joint and energy recovery link is determined, and energy cascade utilization aggregative indicator carries out normalizing by this weight coefficient simultaneously
Change, i.e. energy cascade utilization index is the highest not over 1.
(2) set up typical industry user one-level efficient energy conversion based on hypervelocity rate DEA model, two grades of energy use effect
Rate index system
Super DEA can efficiently differentiate out between the decision package of energy efficiency effectively (i.e. efficiency value is 1)
Efficiency variance, the decision package evaluated effectively can be sorted, the efficiency of energy utilization of the most each industrial user.Super
Speed DEA method expression formula is as follows:
Wherein,It is efficiency index, λjIt is input and output factor, xijI-th input for jth industrial user refers to
Scale value, tijFor the i-th output desired value of jth industrial user,It is respectively and puts into and output slack variable.If effect
Rate indexIllustrate to put into and be not reaching to optimum efficiency with output;IfShow that input in science and technology and output are firm
Reach optimum efficiency well;IfThen explanation puts into and output has exceeded optimum efficiency.
(3) the efficiency of energy utilization evaluation index of the production link of typical industry user is set up
There is multiple energy conversion unit and product power consumption module, the energy conversion effect of each module in each industrial user
Rate and efficiency of energy utilization are all not quite similar, and therefore should assess its efficiency the energy with each link respectively for multiple module
Participation amount is weighted analyzing for weighting foundation, thus obtains final comprehensive evaluation index.
Wherein, θkFor the comprehensive energy cascade utilization efficiency of the kth kind one-level energy, YkKth kind one-level for this industrial user
The total amount consumed of the energy, θk1For the one-level efficiency of energy utilization of the kth kind one-level energy,I-th energy for the kth kind one-level energy
The energy conversion efficiency of source modular converter,The ratio of the kth kind one-level energy, θ is used for i-th energy conversion moduleijIt is
J kind product uses the energy use efficiency of i-th kind of two grades of energy, yijThe energy using i-th kind of two grades of energy for jth kind product disappears
Consumption.
(4) set up wasted energy and recycle efficiency index
This index is determined by each energy recovery unit, is the important indicator of wasted energy recovery cascade utilization, is equivalent to directly carry
High energy use efficiency.The waste heat that produces in recycling production process, the low-quality energy such as waste gas, the wasted energy of foundation returns
Receiving utilization rate as energy recovery utilization ratio index expression is:
θr=Qr/Yr (6)
QrThe energy summation recycled for all energy recycle devices of typical industry user, YrRaw for typical industry user
The recoverable energy summation produced during product.
As in figure 2 it is shown, be industrial user's efficiency of energy utilization evaluation system, mainly include one-level efficient energy conversion, two
Level energy use efficiency and wasted energy recycle efficiency.
The method and the approach that implement this technical scheme are a lot, and the above is only the preferred embodiment of the present invention,
It should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention, it is also possible to do
Going out some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention.In the present embodiment the clearest and the most definite each
Ingredient all can use prior art to be realized.
Claims (6)
1. industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA, it is characterised in that the method bag
Include following steps:
(1) setting up industrial user's efficiency of energy utilization three level evaluation system, including one-level efficient energy conversion, two grades of energy make
Efficiency is recycled with efficiency and wasted energy;And the efficiency of energy utilization that efficiency of energy utilization is production link of industrial user is set
With wasted energy recycle efficiency comprehensive:
θ=apθp+arθr
Wherein θp, θrIt is respectively efficiency of energy utilization and energy recovery utilization ratio, a of production linkp, arIt is respectively production link
Efficiency of energy utilization and the weight coefficient of energy recovery utilization ratio;
(2) set up typical industry user one-level efficient energy conversion based on hypervelocity rate DEA model, two grades of energy use efficiencies refer to
Mark system
Hypervelocity rate DEA method expression formula is as follows:
Wherein,It is efficiency index, λjIt is input and output factor, xijI-th input pointer for jth industrial user
Value, tijFor the i-th output desired value of jth industrial user,It is respectively and puts into and output slack variable;
(3) the efficiency of energy utilization evaluation index of the production link of typical industry user is set up;
Wherein, θkFor the comprehensive energy cascade utilization efficiency of the kth kind one-level energy, YkThe kth kind one-level energy for this industrial user
Total amount consumed, θk1For the one-level efficiency of energy utilization of the kth kind one-level energy,The i-th energy for the kth kind one-level energy turns
The energy conversion efficiency of die change block,The ratio of the kth kind one-level energy, θ is used for i-th energy conversion moduleijFor jth kind
Product uses the energy use efficiency of i-th kind of two grades of energy, yijThe energy resource consumption of i-th kind of two grades of energy is used for jth kind product
Amount;
(4) set up wasted energy and recycle efficiency index
θr=Qr/Yr
QrThe energy summation recycled for all energy recycle devices of typical industry user, YrFor typical industry, user produced
The recoverable energy summation produced in journey.
Industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA the most according to claim 1, it is special
Levying and be, the weight coefficient of production link efficiency of energy utilization and energy recovery utilization ratio is according to the production link of industrial user
It is determined with the characteristic of energy recovery link.
Industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA the most according to claim 1 and 2,
It is characterized in that, described industrial user's efficiency of energy utilization evaluation system can assess production process energy use efficiency, also can
Assessment energy recovery cascade utilization efficiency is the highest not over 1.
Industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA the most according to claim 3, it is special
Levying and be, described typical industry user's production link efficiency of energy utilization evaluation index is according to the energy of each module of each industrial user
Conversion efficiency is different to be weighted analyzing with the product power consumption different sub-indicator of module efficiency of energy utilization.
Industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA the most according to claim 4, it is special
Levying and be, described industrial user's wasted energy recycles efficiency index and is determined by each module energy recovery units at different levels.
Industrial user's energy utilization efficiency evaluation method based on super-efficiency DEA the most according to claim 5, it is special
Levying and be, described industrial user comprises iron and steel class user, petrochemical industry class user, power generation class user, textile user, water
Mud class user, pharmacy class user, rubber and Plastic user and paper-making industry class user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610292936.5A CN105975774A (en) | 2016-05-05 | 2016-05-05 | Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610292936.5A CN105975774A (en) | 2016-05-05 | 2016-05-05 | Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105975774A true CN105975774A (en) | 2016-09-28 |
Family
ID=56992566
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610292936.5A Pending CN105975774A (en) | 2016-05-05 | 2016-05-05 | Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105975774A (en) |
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 |
CN110288267A (en) * | 2019-07-03 | 2019-09-27 | 国网能源研究院有限公司 | A kind of appraisal procedure of urban energy terminal energy |
-
2016
- 2016-05-05 CN CN201610292936.5A patent/CN105975774A/en active Pending
Non-Patent Citations (9)
Title |
---|
XU DONGDONG等: "Energy Efficiency Evaluation of Power Equipment Based on DEA", 《ADVANCES IN NATURAL SCIENCE》 * |
张文静: "内蒙古工业能源利用效率测算及影响因素分析", 《中国优秀硕士论文数据库 经济与管理科学辑》 * |
张红霞 等: "我国重点能耗产业能源使用的地区间相对有效性评价及其影响分析", 《中国投入产出学会第七届年会论文集》 * |
李德山: "中国能源效率分析及其对策研究", 《中国优秀硕士论文数据库 经济与管理科学辑》 * |
王卓 等: "《商业模式创新与评价研究》", 31 March 2015, 知识产权出版社 * |
王卓: "基于超效率DEA 模型的我国工业企业效率评价", 《科学管理研究》 * |
王晶 等: "区域产业生态化效率评价研究——以鄱阳湖生态经济区为例", 《经济地理》 * |
肖小爱: "基于DEA的区域能源利用效率比较研究", 《中国优秀硕士论文数据库 经济与管理科学辑》 * |
魏楚 等: "工业绩效、技术效率及其影响因素——基于2004 年浙江省经济普查数据的实证分析", 《数量经济技术经济研究》 * |
Cited By (3)
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 |
CN110288267A (en) * | 2019-07-03 | 2019-09-27 | 国网能源研究院有限公司 | A kind of appraisal procedure of urban energy terminal energy |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103632203A (en) | Distribution network power supply area division method based on comprehensive evaluation | |
Wang et al. | Controlling embedded carbon emissions of sectors along the supply chains: a perspective of the power-of-pull approach | |
CN105550700A (en) | Time series data cleaning method based on correlation analysis and principal component analysis | |
CN104616215A (en) | Energy efficiency comprehensive evaluation method for thermal power plant | |
CN104281892B (en) | A kind of power distribution network capital equipment is newly-built with Re-construction planning cooperative optimization method | |
CN103426120A (en) | Medium and low voltage power distribution network comprehensive evaluation method based on reliability | |
CN105046389A (en) | Intelligent risk assessment method for electric power security risk assessment, and system thereof | |
CN103440525B (en) | Lake and reservoir water bloom emergency treatment decision-making method based on Vague value similarity measurement improved algorithm | |
CN109272182A (en) | A kind of water resources benefit dynamic evaluation method based on variable fuzzy decision-making theory | |
CN106779436A (en) | A kind of Electric Power Network Planning stage construction harmony comprehensive estimation method | |
CN104036434A (en) | Evaluation method for load supply capacity of power distribution network | |
CN106096765A (en) | The evaluation methodology of distributing wind power group Optimal Transmission Expansion Planning scheme | |
CN106056307A (en) | Electric power replacement technology comprehensive benefit assessment method based on comprehensive weighting method | |
CN104897870A (en) | Water quality evaluation method for real-time early warning of water supply network | |
CN105975774A (en) | Super-efficiency DEA model-based industrial user energy utilization efficiency evaluation method | |
CN113762784A (en) | Quantitative comprehensive evaluation method and system for layout planning scheme of sewage treatment system | |
Jiang et al. | A multi-dimensional fuzzy decision support strategy | |
Wang et al. | A two-stage data envelopment model for evaluating the exchange efficiency of the imports and exports in a railway supply chain network | |
CN108921729A (en) | A kind of piping lane planing method based on multi-factor analysis approach | |
CN109447498B (en) | Rail transit system cost association multi-domain influence element big data driving analysis method | |
CN104376505B (en) | A kind of operation reliability evaluation method of power distribution network in power system | |
CN105373848A (en) | Priority ordering method of load-grid-supply interactive coordination control scheme based on rough set | |
CN109034530A (en) | A kind of piping lane planing method based on neural network algorithm | |
Wang et al. | Determining the Optimal Offshore Wind Power Station Using a Two-Stage MCDM-Based Spherical Fuzzy Set Approach | |
Nwobi-Okoye | Notes on procedure for the development of fuzzy rules in SCOP methodology |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160928 |