CN104463471A - Pubic institution energy management performance evaluation method based on data envelopment analysis - Google Patents

Pubic institution energy management performance evaluation method based on data envelopment analysis Download PDF

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CN104463471A
CN104463471A CN201410760171.4A CN201410760171A CN104463471A CN 104463471 A CN104463471 A CN 104463471A CN 201410760171 A CN201410760171 A CN 201410760171A CN 104463471 A CN104463471 A CN 104463471A
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dea
energy management
public organizations
energy
performance evaluation
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石龙宇
陈丁楷
赵景柱
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Institute of Urban Environment of CAS
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Institute of Urban Environment of CAS
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    • 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
    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor

Abstract

The invention discloses a pubic institution energy management performance evaluation method based on data envelopment analysis. The method includes the steps that firstly, public institutions are classified, graded and grouped according to the types and the scales of the public institutions and climate regions where the public institutions are located; secondly, basic situation data and energy consumption data of the public institutions in the same groups are collected and sorted, and a public institution energy management performance evaluation index system is formed through quantification; thirdly, pubic institution energy management performance is evaluated, and the ranking result of pubic institution energy management performance levels is acquired. A multi-input and multi-output system analysis thought is adopted for evaluating energy management efficiency; based on the scientificity, objectivity and acquirability principles, the performance evaluation index system is established and comprises input class indexes and output class indexes, and a data envelopment analysis (DEA) method is adopted for establishing a performance evaluation model; a DEA-BCC model is adopted for calculation, and ranks of energy-saving potential and energy management performance of the public institutions are acquired.

Description

Based on public organizations' energy management Performance evaluation of DEA
Technical field
The present invention relates to a kind of public organizations' energy management Performance evaluation based on DEA, belong to energy management field, be specifically related to a kind of administration of energy conservation department carries out energy management performance evaluation method to the public organizations in institute's compass of competency.
Background technology
At present, countries in the world government all attaches great importance to the energy conservation in public organizations field.But, in public organizations' energy management performance evaluation, not yet form unified, proven technique method.Traditional appraisal procedure is Shortcomings in choose targets, benchmark and weight are determined etc.Traditional public organizations' energy management performance evaluation index mostly is the index (such as organization and administration, rules and regulations, advocacy and training etc.) of " Process Character " and " qualitative ", lacks the index of " result " and " quantitatively ".The traditional quantitative indexs such as the total energy consumption of minority and energy consumption rate of descent, owing to lacking considering energy-saving potential, are not therefore suitable for the comparison of energy management level of performance between public organizations.In addition, traditional performance indicators benchmark and weight are determined generally to adopt the methods such as expert consulting, make public organizations' energy management performance appraisal result larger by the impact of subjective factor.Based on this, be necessary to propose a kind of standardized public organizations energy management Performance evaluation, scientifically assess public organizations' energy management level of performance, for public organizations' reduction energy resource consumption, raising efficiency of energy utilization provide science to support.
Public organizations' energy management performance evaluation is the evaluation problem of a multi objective, relates to the input pointer such as energy resource consumption and water consumption, relates to again floor area of building, uses output-index such as energy number and officer's car quantity etc.; Public organizations' energy management performance evaluation is also a multiobject evaluation problem, should reduce energy resource consumption total amount, reduces energy utilization intensity (unit floor area of building energy consumption, per capita energy consumption) again.Therefore, more different Inst energy management performance needs to set up assessment models and the method for objective, science.
It is the nonparametric appraisal procedure that a kind of assessment has identical type input and output system relative efficiency that data comprise analysis (DEA).It does not require that evaluation index has consistent measurement unit and character, without the need to determining the weight of each evaluation index yet.Therefore, compare with other evaluation methods, that DEA method has be objective, simply, feature easily, the demand of public organizations' energy management performance evaluation can be met well.
Therefore, be necessary to design a kind of public organizations' energy management Performance evaluation comprising analysis based on data.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of public organizations' energy management Performance evaluation based on DEA, the public organizations of similar, at the same level, same group can sort according to energy management level of performance by the method, provide each Inst energy-saving potential quantitatively.
The technical solution of invention is as follows:
1., based on public organizations' energy management Performance evaluation of DEA, comprise the following steps:
Step 1: classification and grouping are carried out to public organizations according to public organizations' type, scale and residing Study on Climate Division;
Step 2: gather and arrange with the Inst basic condition data of group and energy consumption data, and quantize to form public organizations' energy management performance evaluation index system;
Step 3: assess public organizations' energy management performance, namely sorts based on the validity of DEA to public organizations' energy management, obtains the ranking results of public organizations' energy management level of performance;
The evaluation index related in described step 2 is as follows:
(1) comprehensive energy consumption X 1, gather calculating according to " comprehensive energy consumption calculating general rule " GB/T 2589-2008, unit is that kilogram standard coal equivalent is annual;
(2) water consumption X 2, refer to that the water total amount that public organizations are annual, unit are that cubic meter is annual;
(3) floor area of building Y 1, refer to all floor area of building that public organizations' office uses, unit is square metre;
(4) with energy number Y 2, the regulation of " the public organizations' energy consumption statistical system " issued for 2013 according to transaction management office of government offices calculates, and unit behaves;
(5) officer's car quantity Y 3, refer to that public organizations are the vehicle ensureing that row noise uses, unit is car.
2. the public organizations' extra power management performance appraisal procedure based on DEA according to claim 1, it is characterized in that, step 3 comprises the following steps:
(1) model is built:
Adopt the DEA-VRS model with non-Archimedes's dimensionless ε, the planning equation of this model is (Fig. 1):
In formula,
θ is the relative efficiency indexes of public organizations to be assessed (decision package) based on packet winding thread, and ε is non-Archimedes's dimensionless, s -for the surplus variable of m item input pointer, s +for the surplus variable of s item output-index, n is the quantity of decision package, is model optimum solution (weight coefficient), and input pointer refers to comprehensive energy consumption and water consumption, and output-index refers to floor area of building, uses energy number and officer's car quantity;
(2) judgement of public organizations' energy management DEA validity
Solve above-mentioned planning equation, obtain decision package j 0optimum solution θ 0, s -, s +:
If θ 0=1, then decision package j 0for DEA is effective; If θ 0< 1, then decision package j 0for DEA is invalid;
(3) public organizations' energy management validity sequence
First, by all public organizations according to energy management DEA effectively and be invalidly divided into 2 parts, DEA be effectively placed on DEA invalid before; Then, by invalid for DEA according to its relative efficiency θ 0sequence; Finally, by DEA effectively according to the sequence of ideal-DMU method result of calculation, comprise the following steps:
A. construct ideal-DMU, get the minimum value x that DEA Effective Decision-making Units respectively inputs minwith the maximal value y of each output max, form new decision package DUM *;
B. by DUM *be combined to form new decision package collection with DEA Effective Decision-making Units, set up DEA-CRS model, formula is (Fig. 2):
In formula,
θ is ideal-DMU DUM *relative efficiency index, ε is non-Archimedes's dimensionless, s -for the surplus variable of m item input pointer, s +for the surplus variable of s item output-index, n is the quantity of decision package, is model optimum solution (weight coefficient), and input pointer refers to comprehensive energy consumption and water consumption, and output-index refers to floor area of building, uses energy number and officer's car quantity;
C. solve above-mentioned planning equation, obtain decision package j 0optimum solution θ 0, s -, s +:
D. according to relative efficiency index, the effective decision package of each DEA is sorted.
Beneficial effect:
The present invention proposes a kind of administration of energy conservation department to the multi objective of public organizations' energy management performance, comprehensive New Evaluation Method.According to this method, administration of energy conservation department of public organizations can compare, analyze and sort of the same type, the Inst energy management performance of scale and climatic province, grasp Inst energy management degree, level, energy-saving potential and distribution situation thereof, thus promote similar to mark, the raising realizing the overall energy management level of performance of the whole society and ability.
Accompanying drawing explanation
Fig. 1 is DEA-VRS model.
Fig. 2 is DEA-CRS model.
Fig. 3 is public organizations' energy management performance evaluation process flow diagrams.
Embodiment
Below with reference to accompanying drawing and concrete case study on implementation, the present invention is described in further details:
As shown in Figure 3, technical scheme of the present invention comprises the following steps:
Step 1: classification and grouping are carried out to public organizations according to public organizations' type, scale and residing Study on Climate Division;
Step 2: gather and arrange with the Inst basic condition data of group and energy consumption data, and quantize to form public organizations' energy management performance evaluation index system;
Step 3: assess public organizations' energy management performance, namely sorts to the validity of public organizations' energy management based on DEA (DEA-VRS model, Fig. 1), obtains the ranking results of public organizations' energy management level of performance;
Wherein, step 3 public organizations energy management validity sort method is as follows:
First, by all public organizations according to energy management DEA effectively and be invalidly divided into 2 parts, DEA be effectively placed on DEA invalid before; Then, by invalid for DEA according to its relative efficiency θ 0sequence; Finally, by DEA effectively according to the sequence of ideal-DMU method result of calculation, comprise the following steps:
A. construct ideal-DMU, get the minimum value x that DEA Effective Decision-making Units respectively inputs minwith the maximal value y of each output max, form new decision package DUM *;
B. by DUM *be combined to form new decision package collection with the effective decision package of DEA, set up DEA-CRS model as shown in the formula (Fig. 2):
In formula,
θ is ideal-DMU DUM *relative efficiency index, ε is non-Archimedes's dimensionless, s -for the surplus variable of m item input pointer, s +for the surplus variable of s item output-index, n is the quantity of decision package, is model optimum solution (weight coefficient), and input pointer refers to comprehensive energy consumption and water consumption, and output-index refers to floor area of building, uses energy number and officer's car quantity;
C. solve above-mentioned planning equation, obtain decision package j 0optimum solution θ 0, s -, s +:
D. according to relative efficiency index, the effective decision package of each DEA is sorted.
The present invention carries out energy management performance evaluation for the branch offices of People's Bank of China.People's Bank of China merges composition in Dec, 1948 on the basis of North China bank, Beihai Bank, Peasant Bank of Northwest, is the central bank of the People's Republic of China (PRC), one of composition department of State Council.People's Bank of China is according to the regulation of " Law of the People's Republic of China on the People's Bank of China ", independently perform monetary policy under the leader of State Council in accordance with the law, do one's duty, commence business, by the interference of local government, government agencies at all levels, public organization and individual.Nineteen eighty-three, State Council determined that People's Bank of China exercises national central banks function specially, containing financial risks take precautions against with dissolve, statistics, bank card, financial regulations, work against counterfeit note, announcement board etc.The main energy consumption type of People's Bank of China has electricity, coal, rock gas and gasoline etc.
Application the present invention, the branch offices for People's Bank of China carries out energy management performance evaluation, and implementation step is as follows:
Public organizations' classification, grouping.Each branch offices of People's Bank of China of present case belongs to the public organizations of same type (government offices) and same rank (center subbranch), according to Study on Climate Division can be divided into severe cold group, cold group, cold group of Xia Redong, hot summer and warm winter zone group and gentle group.The energy management performance evaluation of present case is for the branch offices of hot summer and warm winter zone group, and relate to 47 the center subbranches being positioned at Fujian Province, Guangdong Province, Guangxi province and Hainan Province, each center subbranch title replaces with a01-a47.
Gather and arrange with the Inst basic condition data of group and energy consumption data, and quantize to form public organizations' energy management performance evaluation index system.Take the availability of assessment requirement and People's Bank of China's basic data into consideration, choose comprehensive energy consumption (ten thousand tons of standard coal equivalents), water consumption (ten thousand stere), floor area of building (ten thousand square metres), use energy number (people) and officer's car quantity () as evaluation index.Wherein, comprehensive energy consumption x 1with water consumption x 2as the input pointer in DEA model; Floor area of building y 1, with can number y 2with officer's car quantity y 3as the output-index in DEA model.The basic data of People's Bank of China each branch offices every evaluation index of table 1 for compiling:
The basic data of the every evaluation index of each branch offices of table 1 People's Bank of China
Public organizations number Comprehensive energy consumption x1 Water consumption x2 Floor area of building y1 With energy number y2 Officer's car quantity y3
a01 32.02 7.27 2.96 371.00 38.00
a02 34.77 2.24 2.29 568.00 92.00
a03 51.57 5.59 7.02 870.00 85.00
a04 1.95 1.00 0.73 104.00 12.00
a05 10.26 3.37 2.16 257.00 19.92
a06 8.79 0.63 0.78 220.00 46.00
a07 10.41 4.14 1.04 228.00 40.00
a08 16.76 1.21 1.80 241.00 27.00
a09 15.42 2.64 3.46 215.00 25.00
a10 13.20 3.55 2.21 255.00 28.00
a11 17.46 1.41 1.99 271.00 27.00
a12 12.53 1.51 1.63 221.00 30.00
a13 8.76 0.93 1.12 262.00 19.00
a14 7.40 0.90 0.69 272.00 22.00
a15 9.98 2.46 1.35 154.00 18.00
a16 6.80 1.58 1.59 154.00 15.00
a17 13.28 1.40 1.29 201.00 27.00
a18 12.17 1.19 1.67 248.00 24.00
a19 18.14 0.66 1.35 219.00 38.00
a20 7.98 0.21 0.62 183.00 20.00
a21 12.94 1.38 1.76 188.00 16.00
a22 7.72 1.43 1.26 169.00 28.00
a23 5.63 0.78 0.24 185.00 18.00
a24 32.41 7.81 2.02 506.00 41.00
a25 12.39 1.04 2.33 242.00 17.00
a26 6.87 1.05 0.77 173.00 17.00
a27 9.14 0.80 1.43 344.00 16.00
a28 11.01 3.78 1.82 280.00 19.00
a29 13.55 3.80 1.50 197.00 18.00
a30 7.79 0.97 1.16 192.00 16.00
a31 20.20 8.63 1.81 201.00 16.00
a32 49.15 6.37 4.33 651.00 81.00
a33 12.91 2.36 0.99 233.00 39.00
a34 11.18 0.81 1.23 234.00 26.00
a35 6.68 0.69 1.49 192.00 20.00
a36 12.91 2.11 1.77 194.00 20.00
a37 11.58 2.91 1.56 180.00 21.00
a38 8.57 1.64 1.40 190.00 24.00
a39 7.55 3.06 1.35 144.00 19.00
a40 8.17 0.68 1.32 166.00 24.00
a41 5.16 0.43 0.66 141.00 19.00
a42 7.01 2.61 0.85 134.00 16.00
a43 1.57 0.69 0.35 124.00 18.00
a44 6.74 2.92 0.30 127.00 14.00
a45 3.64 0.64 0.29 144.00 17.00
a46 49.62 6.13 4.98 532.00 97.00
a47 5.48 0.68 0.73 110.00 17.00
Adopt MaxDEA 6.3 software, calculate the relative efficiency θ of each branch offices energy management and the slack variable s of every input-occupancy-output analysis (comprehensive energy consumption, water consume) -(table 2):
The relative efficiency of table 2 each branch offices energy management
DMU numbers Relative efficiency Slack variable (comprehensive energy consumption) Slack variable (water consumption)
a01 0.580 -13.432 -0.945
a02 1.000 0.000 0.000
a03 1.000 0.000 0.000
a04 1.000 0.000 0.000
a05 1.000 0.000 0.000
a06 1.000 0.000 0.000
a07 0.858 -1.481 -2.498
a08 0.738 -4.398 0.000
a09 1.000 0.000 0.000
a10 0.896 -1.370 -0.495
a11 0.741 -4.517 0.000
a12 0.751 -3.125 0.000
a13 0.796 -1.784 0.000
a14 0.998 -0.015 -0.154
a15 0.565 -4.344 -0.258
a16 0.945 -0.377 0.000
a17 0.546 -6.025 -0.090
a18 0.763 -2.890 0.000
a19 1.000 0.000 0.000
a20 1.000 0.000 0.000
a21 0.635 -4.728 0.000
a22 0.931 -0.533 -0.168
a23 0.800 -1.129 0.000
a24 0.704 -9.598 -3.269
a25 1.000 0.000 0.000
a26 0.626 -2.569 0.000
a27 1.000 0.000 0.000
a28 0.863 -1.502 -1.084
a29 0.496 -6.833 -0.377
a30 0.719 -2.191 0.000
a31 0.395 -12.230 -0.914
a32 0.786 -10.542 -1.408
a33 0.676 -4.180 -0.788
a34 0.799 -2.249 0.000
a35 1.000 0.000 0.000
a36 0.609 -5.046 -0.025
a37 0.612 -4.488 -0.728
a38 0.823 -1.517 -0.523
a39 0.766 -1.766 -1.014
a40 0.937 -0.510 0.000
a41 1.000 0.000 0.000
a42 0.461 -3.779 -0.352
a43 1.000 0.000 0.000
a44 0.248 -5.070 -0.032
a45 0.904 -0.349 0.000
a46 1.000 0.000 0.000
a47 0.810 -1.039 0.000
As shown in Table 2, the energy management efficiency of 14 branch officeses such as a02, a03, a04, a05, a06, a09, a19, a20, a25, a27, a35, a41, a43 and a46 is DEA effective (θ=1), and the energy management efficiency of remaining 33 branch offices is DEA invalid (θ <1); The slack variable of its every input-occupancy-output analysis of the effective branch offices of DEA is 0; The slack variable of the branch offices that DEA is invalid is negative, illustrates that this input pointer quantity should reduce, and namely characterize the energy-saving potential that this drops into, the re-set target value of every input-occupancy-output analysis is x 0× θ+s -.
Branch offices invalid for DEA is sorted according to its relative efficiency.
Adopt idealized unit cell method to sort for the effective branch offices of DEA, its step is as follows:
First, desirable DMU is built *, its " input " index is the minimum value of index of correlation in all branch officeses, i.e. 1.57 ten thousand tons of standard coal equivalent comprehensive energy consumptions and 0.21 ton of cubic meter of water consumption; Its " output " index is the maximal value of index of correlation in all branch officeses, i.e. 7.02 ten thousand square metres of floor area of building, 870 people and 97 cars.
Adopt MaxDEA 6.3 software, by desirable DMU *with DEA effective branch offices data substitution software, calculate the relative effectiveness ranking results (table 3) of each DEA Effective Decision-making Units.
According to above-mentioned relative efficiency result of calculation, the effective branch offices of DEA is sorted.
By all public organizations according to energy management DEA effectively and be invalidly divided into 2 each several parts, DEA be effectively placed on DEA invalid before.
Each branch offices of hot summer and warm winter zone district of table 3 People's Bank of China energy management performance appraisal sort result
Sequence Numbering Relative efficiency Whether DEA is effective
1 a20 0.210 Effectively
2 a43 0.186 Effectively
3 a06 0.158 Effectively
4 a19 0.125 Effectively
5 a27 0.104 Effectively
6 a04 0.100 Effectively
7 a41 0.096 Effectively
8 a02 0.089 Effectively
9 a35 0.067 Effectively
10 a25 0.067 Effectively
11 a09 0.050 Effectively
12 a05 0.047 Effectively
13 a03 0.038 Effectively
14 a46 0.034 Effectively
15 a14 0.998 Invalid
16 a16 0.945 Invalid
17 a40 0.937 Invalid
18 a22 0.931 Invalid
19 a45 0.904 Invalid
20 a10 0.896 Invalid
21 a28 0.863 Invalid
22 a07 0.858 Invalid
23 a38 0.823 Invalid
24 a47 0.810 Invalid
25 a23 0.800 Invalid
26 a34 0.799 Invalid
27 a13 0.796 Invalid
28 a32 0.786 Invalid
29 a39 0.766 Invalid
30 a18 0.763 Invalid
31 a12 0.751 Invalid
32 a11 0.741 Invalid
33 a08 0.738 Invalid
34 a30 0.719 Invalid
35 a24 0.704 Invalid
36 a33 0.676 Invalid
37 a21 0.635 Invalid
38 a26 0.626 Invalid
39 a37 0.612 Invalid
40 a36 0.609 Invalid
41 a01 0.580 Invalid
42 a15 0.565 Invalid
43 a17 0.546 Invalid
44 a29 0.496 Invalid
45 a42 0.461 Invalid
46 a31 0.395 Invalid
47 a44 0.248 Invalid
Interpretation of result:
(1) reach DEA in 47 Zhong You14Jia mechanisms of center subbranch effective, illustrate that the energy management performance of these branch officeses reaches the highest level of same size.Wherein, the energy management level of performance of a20 in 14 effective public organizations of DEA is numbered the highest;
(2) be that DEA is invalid in 47 Zhong You33Jia mechanisms of center subbranch, its ratio reaches 70.2%, illustrates that the energy management level of performance of these branch's machines has much room for improvement.Can according to the energy-saving potential of the every input pointer of relative efficiency and each branch offices of slack variable (table 2) computational analysis.

Claims (2)

1., based on public organizations' energy management Performance evaluation of DEA, it is characterized in that, comprise the following steps:
Step 1: classification and grouping are carried out to public organizations according to public organizations' type, scale and residing Study on Climate Division;
Step 2: gather and arrange with the Inst basic condition data of group and energy consumption data, and quantize to form public organizations' energy management performance evaluation index system;
Step 3: assess public organizations' energy management performance, namely sorts based on the validity of DEA to public organizations' energy management, obtains the ranking results of public organizations' energy management level of performance;
The evaluation index related in described step 2 is as follows:
(1) comprehensive energy consumption x 1, gather calculating according to " comprehensive energy consumption calculating general rule " GB/T 2589-2008, unit is that kilogram standard coal equivalent is annual;
(2) water consumption x 2, refer to that the water total amount that public organizations are annual, unit are that cubic meter is annual;
(3) floor area of building y 1, refer to all floor area of building that public organizations' office uses, unit is square metre;
(4) with energy number y 2, the regulation of " the public organizations' energy consumption statistical system " issued for 2013 according to transaction management office of government offices calculates, and unit behaves;
(5) officer's car quantity y 3, refer to that public organizations are the vehicle ensureing that row noise uses, unit is car.
2. the public organizations' energy management Performance evaluation based on DEA according to claim 1, it is characterized in that, step 3 comprises the following steps:
(1) model is built:
Adopt the DEA-VRS model with non-Archimedes's dimensionless ε, the planning equation of this model is:
In formula,
θ is the relative efficiency indexes of public organizations to be assessed (decision package) based on packet winding thread (production proportions face), and ε is non-Archimedes's dimensionless, s -for the surplus variable of m item input pointer, s +for the surplus variable of s item output-index, n is the quantity of decision unit, is model optimum solution (weight coefficient), and input pointer refers to comprehensive energy consumption and water consumption, and output-index refers to floor area of building, uses energy number and officer's car quantity;
(2) judgement of public organizations' energy management DEA validity
Solve above-mentioned planning equation, obtain decision package j to be assessed 0optimum solution θ 0, s -, s +:
If θ 0=1, then decision package j 0for DEA is effective; If θ 0< 1, then decision package j 0for DEA is invalid;
(3) public organizations' energy management validity sequence
First, by all public organizations according to energy management DEA effectively and be invalidly divided into 2 parts, DEA be effectively placed on DEA invalid before; Then, by invalid for DEA according to its relative efficiency θ 0sequence; Finally, by DEA effectively according to the sequence of ideal-DMU method result of calculation, comprise the following steps:
A. construct ideal-DMU, get the minimum value x of each input pointer of DEA Effective Decision-making Units minwith the maximal value y of each output-index max, form new decision package DUM *;
B. by DUM *be combined to form new decision package collection with the effective decision package of DEA, set up DEA-CRS model as shown in the formula:
In formula,
θ is ideal-DMU DUM *relative efficiency index, ε is non-Archimedes's dimensionless, s -for the surplus variable of m item input, s +for the surplus variable that s item exports, n is the quantity of decision unit, is model optimum solution (weight coefficient), and input variable refers to comprehensive energy consumption and water consumption, and output variable refers to floor area of building, uses energy number and officer's car quantity;
C. solve above-mentioned planning equation, obtain decision package j to be assessed 0optimum solution θ 0, s -, s +:
D. according to relative efficiency index, the effective decision package of each DEA is sorted.
CN201410760171.4A 2014-12-12 2014-12-12 Pubic institution energy management performance evaluation method based on data envelopment analysis Pending CN104463471A (en)

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CN105095676A (en) * 2015-09-09 2015-11-25 中国科学院地理科学与资源研究所 City group carbon emission performance accounting method
CN105303311A (en) * 2015-10-21 2016-02-03 中国人民解放军装甲兵工程学院 Assessment index selection method and device based on data envelopment analysis
WO2018233052A1 (en) * 2017-06-23 2018-12-27 平安科技（深圳）有限公司 Data processing method and apparatus, computer device, and storage medium
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CN108645439A (en) * 2018-04-17 2018-10-12 北京合创三众能源科技股份有限公司 A kind of method, apparatus, system and the electronic equipment of identification building energy consumption
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CN109508358A (en) * 2018-10-19 2019-03-22 湖南工学院 A kind of enterprise management efficiency Measurement Method based on composite optimization analysis
CN110263072A (en) * 2019-06-18 2019-09-20 成都九洲电子科技有限公司 A kind of public organizations' energy consumption statistic system and method
CN115936542A (en) * 2023-03-10 2023-04-07 广东省科技基础条件平台中心 Platform carrier performance evaluation method and system based on artificial intelligence

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