CN111191907A - Comprehensive energy station energy efficiency evaluation method based on analytic hierarchy process - Google Patents
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Abstract
The invention discloses a comprehensive energy station energy efficiency evaluation method based on an analytic hierarchy process. The method aims to solve the problem that a comprehensive energy station energy efficiency evaluation system is not established in the prior art; the method comprises the following steps: s1: establishing an energy efficiency evaluation index system of the comprehensive energy station; the system comprises an electrical equipment index A, a system operation index B, a green building index C and an energy environment index D; s2: carrying out standardization treatment of an analytic hierarchy process on the selected indexes; s3: calculating the grey correlation degree of the index by using a grey analysis method; s4: and analyzing the calculation result to guide the construction and reconstruction of the comprehensive energy station. And combining a grey correlation analysis method with an analytic hierarchy process for overall evaluation of the energy efficiency of the comprehensive energy station, wherein the evaluation result provides a basis for energy-saving construction of the comprehensive energy station. Through various energy efficiency indexes, various index values are reduced by a novel energy-saving technology, and the aim of realizing a green energy-saving energy station is achieved.
Description
Technical Field
The invention relates to the field of power systems, in particular to a comprehensive energy station energy efficiency evaluation method based on an analytic hierarchy process.
Background
The multi-station integration is a comprehensive energy station construction mode of unified planning, function integration, module construction and sharing win-win created by surrounding the construction requirements of world first-class energy Internet enterprises of three types and two networks, accelerating the construction of ubiquitous power Internet of things and emphasizing the construction of well-operated strong smart power grids and ubiquitous power Internet of things.
Each part of the comprehensive energy station needs to consume a large amount of energy when completing each function of the comprehensive energy station, and with the progress of the society, the number of the comprehensive energy stations is more and more, and the energy consumption is not negligible. At present, the current situation that an effective energy efficiency evaluation system is not established in a multi-station fusion comprehensive energy station is not available, and five parts of a data center, a transformer substation, an energy storage station, a charging pile and distributed energy in a comprehensive energy station project can not be comprehensively analyzed visually and effectively, so that key influence factors of the energy efficiency of the comprehensive energy station can not be screened effectively on the basis.
There is an analysis method for the comprehensive energy efficiency of a transformer substation, for example, a "transformer substation energy efficiency evaluation method" disclosed in chinese patent literature, whose publication number "CN 102184465 a", includes the following steps: (1) collecting basic data of the transformer substation; (2) establishing a substation energy efficiency evaluation index system structure based on an analytic hierarchy process; (3) acquiring data required in a substation energy efficiency evaluation index system according to a target of substation energy efficiency evaluation, and analyzing and processing quantitative data and qualitative data; (4) and performing energy efficiency evaluation on different transformer substation energy consumption equipment systems with the same voltage grade by adopting a static evaluation and dynamic evaluation method to form a plurality of evaluation results. However, the method is only limited to comprehensive energy efficiency analysis of the transformer substation, and does not relate to energy efficiency analysis of a data center, an energy storage station, a charging pile and distributed energy sources in a comprehensive energy source station.
Disclosure of Invention
The invention mainly solves the problem that the prior art does not establish a comprehensive energy station energy efficiency evaluation system; the comprehensive energy station energy efficiency evaluation method based on the analytic hierarchy process is provided, and five parts of the comprehensive energy station are comprehensively analyzed, so that key influence factors of the comprehensive energy station energy efficiency are effectively screened on the basis, and guidance is provided for construction of a multi-station fusion comprehensive energy station.
The technical problem of the invention is mainly solved by the following technical scheme:
the invention comprises the following steps:
s1: establishing an energy efficiency evaluation index system of the comprehensive energy station; the system comprises an electrical equipment index A, a system operation index B, a green building index C and an energy environment index D;
s2: carrying out standardization treatment of an analytic hierarchy process on the selected indexes;
s3: calculating the grey correlation degree of the index by using a grey analysis method;
s4: and analyzing the calculation result to guide the construction and reconstruction of the comprehensive energy station.
An energy efficiency comprehensive evaluation index system of a 'multi-station fusion' comprehensive energy station is established, a gray correlation analysis method is combined with an Analytic Hierarchy Process (AHP), the AHP is used for meeting the multi-level requirements of the energy efficiency evaluation system, the gray correlation analysis method is corrected by using a weight calculation result, and a 'comprehensive energy station energy efficiency comprehensive evaluation model' based on the AHP is established and used for overall evaluation of the energy efficiency of the comprehensive energy station. The evaluation result provides a basis for the energy-saving construction of the comprehensive energy station. Through various energy efficiency indexes, a corresponding energy-saving technology is provided, various index values are reduced by the novel energy-saving technology, and the aim of realizing a green energy-saving energy station is fulfilled.
Preferably, the electrical equipment index A comprises an energy-saving main transformer index A1And a temperature and humidity adjusting device index A of the control cabinet2And eddy current suppression capability A3(ii) a The operation system index B comprises the energy utilization rate B of the data center1Load shape factor B2And energy storage conversion efficiency B3(ii) a The green building index C comprises the building orientation C1Body type coefficient C2Heat transfer coefficient C of enclosure structure3Window thermal insulation C4And window sunshade C5(ii) a The energy environment index D comprises the energy-saving performance D of the lighting lamp1Heating and ventilation system index D2And noise reduction system index D3. And establishing a complete comprehensive energy station energy efficiency evaluation index system, wherein the design is wide, the selected index content is complete, and qualitative energy efficiency indexes are quantified by taking the aspects into consideration. The scientificity and the reliability of the energy efficiency of the comprehensive energy station obtained through calculation are guaranteed, and the fact that the obtained energy efficiency has the significance of guiding the construction of the comprehensive energy station is guaranteed.
Preferably, the energy-saving main transformation index A1Calculated by the following formula:
wherein N isTThe total number of the main transformers is; n is a radical ofNCTThe number of the energy-saving main transformers is increased;
control cabinet temperature and humidity adjusting device index A2Calculated by the following formula:
wherein N is1、N2、N3The number of the heating sheets, the heating sheets with the fans and the heat exchangers in the comprehensive energy station are respectively;
the eddy current suppressing capability A3Calculated by the following formula:
wherein, P0For power-saving measures, post-power, PautoThe total power of the equipment under automatic control.
Energy-saving main transformer occupation ratios in the energy station are synthesized to measure the energy efficiency influence of the main transformers, and energy-saving economical products with lower control loss rate, such as S11 and S13 energy-saving economical distribution transformers, are preferably selected on the basis of technical feasibility in the process of selecting the type and the capacity of the distribution transformers. Control cabinet temperature and humidity adjusting device index A2The indexes of all temperature and humidity adjusting devices of the control cabinet in the comprehensive energy station are averaged, the heating pieces are assigned with 0 minute, the heating pieces with fans are assigned with 0.5 minute, and the heat exchanger is assigned with 1 minute; through environment cooling and dehumidifying measures such as an automatic roof circulating water spray cooling system and a movable air cooler, the temperature in the cabinet is controlled below 35 ℃, and the problem of cooling and dehumidifying the cabinet body is effectively solved. When various electrical equipment in the comprehensive energy station works, eddy current is generated, so that the equipment is heated, and the electrical equipment can be damaged; the longer the outer circumference of the conductor, the higher the frequency of the alternating magnetic field, and the larger the eddy current; the wall bushing is made of non-magnetic steel plates, so that the problems of electromagnetic induction heating and eddy current caused by the action of a magnetic field of the high-voltage comprehensive energy station are solved, and the loss is reduced.
Preferably, the energy utilization rate B of the data center1Using the PUE index, calculated by the following formula:
wherein E isDThe total energy consumption of the data center; eIThe total energy consumption of the IT equipment; eCThe total energy consumption of the refrigeration equipment is realized; l issLoss for power supply and distribution; l isATo assist with system losses;
the load shape factor B2Calculated by the following formula:
wherein, IeffRms current over a period of time; i isarIs the average current;
the energy storage conversion efficiency B3Calculated by the following formula:
wherein N isDTThe charging and discharging efficiency of the storage battery in the current optimal energy storage station is achieved; siAnd scoring the energy-saving performance of the charge and discharge efficiency of the storage battery storing energy in the period.
Under the condition that IT power consumption is not changed, the PUE value can be effectively improved by reducing the power consumption of non-IT equipment as much as possible. Coefficient of load shape B2The influence of the change of the load curve on the loss of the power equipment is reflected, and the larger the shape coefficient is, the larger the energy consumption of the equipment is; the energy storage transfers the electric energy of the low-carbon emission power supply to the peak load period for use in the non-peak load period, thereby reducing the consumption of high-emission energy. The storage battery energy storage power station mainly comprises two parts: an energy storage device consisting of an energy storage element (storage battery) and a Power Conversion System (PCS) consisting of power electronic devices; and carrying out graded assignment on the energy storage conversion efficiency by taking the model series with the highest energy efficiency as the reference, wherein the value is a number between 0 and 1.
Preferably, the building is oriented C when the building is oriented north and south1Set to 1, building orientation C when east-west orientation10, otherwise a number between 0 and 1;
the body type coefficient C2Calculated by the following formula:
wherein S is a building body form coefficient; f0The external surface area of the building; v0Is the building volume;
the above-mentionedHeat transfer coefficient of building envelope C3Calculated by the following formula:
wherein R is0Is the total heat transfer resistance; kHThe heat transfer coefficient of the building envelope;
the window heat insulation C4Scoring from 0-1 energy efficiency, wherein the higher the score is, the better the heat insulation performance of the window is;
window sunshade C when building window of comprehensive energy station has no sunshade measure5Taking 0, window sunshade C when there is sunshade measure51 is taken.
The north and south are less cold and heat load towards the interior of the building than the east and west are towards the building; according to the field situation, the north-south orientation is preferentially selected. When the heat transfer coefficients of the building envelope structures are equal, the larger the size coefficient of the building is, the poorer the heat insulation performance is, and the higher the energy consumption is, and simulation experiments show that if the size coefficient is increased by 0.1 unit, the energy consumption of the corresponding building is increased by about 25%. An air interlayer is additionally arranged between the external hanging decoration board and the heat preservation layer, and the heat preservation louver boards with the angle capable of being adjusted can be rotated through the tops, so that multiple adjustment of heat preservation in winter and heat dissipation in summer of the building can be realized. Fill cubic aerogel glass or granule aerogel to between two glasses, then seal glass's all around, make aerogel glass, can improve the thermal-insulated C of window4The score of (a). The sunshade can adopt greening vegetation sunshade, building shape and the means of constructing self sunshade, external sunshade and internal sunshade.
Preferably, the energy-saving performance D of the lighting lamp1Calculated by the following formula:
wherein N isLThe total number of lamps in the comprehensive energy station; m is the total number of the energy-saving lamps in the comprehensive energy station; pjThe power of the jth lamp in the comprehensive energy station; pes，iFor the ith energy-saving type in the comprehensive energy stationThe power of the lamp;
at worst energy consumption ratio, heating and ventilation system index D2Is 0; when the energy consumption ratio is improved by more than 200%, the index D of the heating and ventilation system2Is 1; otherwise a number between 0 and 1;
when the noise is above 75 decibels, the noise reduction system index D30, noise below 20 dB, noise reduction system index D3Is 1, otherwise a number between 0 and 1.
The energy saving of the heating and ventilation system is mainly realized by making different air conditioning schemes according to different working environments. The dry-wet mixed cooling water system is used as the core of four groups of radiating modules of a data center, a power distribution device building and an energy storage station in the station. The data center adopts a 'double heat dissipation' module, and the active cooling of a data center server is realized through an 'indirect evaporative cooling' module and a 'spraying liquid cooling CDU' module. The 'water source multi-connected VRV' radiating module of the power distribution unit building and the 'cooling water type precise air conditioner' radiating module of the energy storage station enable the refrigerating efficiency to be far higher than that of a common air conditioner, and the energy efficiency ratio of the comprehensive energy station can be improved.
Preferably, the standardization process is to unify the indexes into a maximum index which is a dimensionless number between [0, 1 ]; and when the analytic hierarchy process is integrated upwards step by step, determining the weight of each evaluation index by adopting AHP based on 9-level scale. Because the difference between the dimension of each index and the change interval of the index value is large, the evaluation index needs to be subjected to standardized processing in order to ensure the objectivity and rationality of the evaluation result. The comprehensive evaluation of the energy efficiency of the comprehensive energy station has 3 layers of indexes, the whole energy efficiency level of the comprehensive energy station can be obtained only by stepwise upward synthesis, each index has difference aiming at the importance of the index of the upper layer, the difference is embodied by giving different weights, and the weight of each evaluation index is determined by adopting AHP based on 9-level scale, so that the calculation result is more accurate.
Preferably, the step S3 includes the following steps:
s31: determining an ideal integrated energy station R0Is a reference column, denoted as R0＝[r01，r02，…r0n]Get each fingerThe target optimum value is taken as r0j(j ═ 1, 2, …, n);
the initial index matrix R is used for representing the comprehensive energy station participating in the evaluation and the values of indexes thereof, and is as follows:
wherein n is the number of the energy efficiency evaluation indexes of the comprehensive energy station; m is the number of the comprehensive energy stations to be evaluated;
s32: dimensionless treatment R0Combining the processed dimensionless data with each evaluation index to obtain a new index matrix S of the object to be evaluated:
s33: order Si＝(Si1，Si2，…，Sin) Wherein i is 0, 1, …, m;
with S0For reference, S is calculated sequentiallyiAnd S0Correlation coefficient β of corresponding indexi(j)：
Wherein i is 1, 2, …, m; 1, 2, …, n; rho is the resolution coefficient of each index;
s34: calculating the weighted average of the index association degrees aiming at the evaluated objects to obtain the gray association degree x between each evaluated object and the ideal objectiAs shown in formula:
wherein, ω isjIs the weight of the jth index.
The key for carrying out comprehensive energy station energy efficiency evaluation by adopting the gray AHP is to calculate the gray correlation degree of the index. According to grey correlation degree xiThe value of (2) can be used for judging the quality degree of the energy efficiency of each comprehensive energy station.
Preferably, the resolution coefficient ρ is obtained according to a calculation result of AHP, as shown in the following formula:
wherein, UijThe normalized value of the jth index of the ith comprehensive energy station is shown; omegajIs the weight of the jth index.
The resolution coefficient is related to each index of each station, and the calculation accuracy is improved.
Preferably, the step S4 is performed according to the gray correlation xiThe value of the sum is used for judging the energy efficiency quality degree of each comprehensive energy source station; degree of gray correlation xiThe larger the value, the higher the energy efficiency level of the integrated energy plant.
The gray correlation degree x obtained by calculationiAnd a basis is provided for the energy-saving construction of the comprehensive energy station. Through various energy efficiency indexes, a corresponding energy-saving technology is provided, various index values are reduced by the novel energy-saving technology, and the aim of realizing a green energy-saving energy station is fulfilled.
The invention has the beneficial effects that:
1. and establishing an energy efficiency comprehensive evaluation index system of the multi-station fusion comprehensive energy station, combining a grey correlation analysis method with the AHP, integrally evaluating the energy efficiency of the comprehensive energy station, and providing a basis for energy-saving construction of the comprehensive energy station by an evaluation result.
2. And according to various performance indexes obtained by screening calculation, using a corresponding energy-saving technology to reduce various index values by using a novel energy-saving technology so as to achieve the aim of realizing a green energy-saving energy station.
Drawings
Fig. 1 is a flow chart of energy efficiency evaluation of an integrated energy plant according to the present invention.
FIG. 2 is a diagram of an energy efficiency assessment index system for an integrated energy plant according to the present invention.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
an energy efficiency evaluation method of a comprehensive energy station based on an analytic hierarchy process is shown in fig. 1 and comprises the following steps:
s1: and establishing an energy efficiency evaluation index system of the comprehensive energy station.
As shown in fig. 2, the energy efficiency evaluation index system of the integrated energy station includes an electrical equipment index a, a system operation index B, a green building index C, and an energy environment index D.
The electrical equipment index A comprises an energy-saving main transformer index A1And a temperature and humidity adjusting device index A of the control cabinet2And eddy current suppression capability A3。
The energy efficiency influence of the main transformer is measured by the occupation ratio of the energy-saving main transformer in the comprehensive energy station, and the index A of the energy-saving main transformer1Calculated by the following formula:
wherein N isTThe total number of the main transformers is; n is a radical ofNCTThe number of the main transformer is energy-saving.
The indexes of all temperature and humidity adjusting devices of the control cabinet in the comprehensive energy station are divided evenly, the heating sheet is assigned with 0 minute, the heating sheet with the fan is assigned with 0.5 minute, the heat exchanger is assigned with 1 minute, and the index A of the temperature and humidity adjusting device of the control cabinet is2Calculated by the following formula:
wherein N is1、N2、N3The number of the heating sheets, the heating sheets with the fans and the heat exchangers in the comprehensive energy station are respectively.
When various electrical equipment in the comprehensive energy station works, eddy current is generated, so that the equipment generates heat, and the electrical equipment can be damaged. The longer the outer circumference of the conductor, the higher the frequency of the alternating magnetic field, the larger the eddy current, and the eddy current suppression capability A3Calculated by the following formula:
wherein, P0For power-saving measures, post-power, PautoThe total power of the equipment under automatic control.
The operation system index B comprises the energy utilization rate B of the data center1Load shape factor B2And energy storage conversion efficiency B3。
Data center energy utilization ratio B1Using the PUE index, calculated by the following formula:
wherein E isDThe total energy consumption of the data center; eIThe total energy consumption of the IT equipment; eCThe total energy consumption of the refrigeration equipment is realized; l isSLoss for power supply and distribution; l isATo assist in system losses.
Coefficient of load shape B2Reflects the influence of the change of the load curve on the loss of the power equipment, the larger the shape coefficient is, the larger the energy consumption of the equipment is, and the load shape coefficient B2Calculated by the following formula:
wherein, IeffRms current over a period of time; i isarIs the average current.
The storage battery energy storage power station mainly comprises two parts: energy storage devices consisting of energy storage elements (batteries) and Power Conversion Systems (PCS) consisting of power electronics. And carrying out graded assignment on the energy storage conversion efficiency by taking the model series with the highest energy efficiency as the reference, wherein the value is a number between 0 and 1. Energy storage conversion efficiency B3Calculated by the following formula:
wherein N isDTThe charging and discharging efficiency of the storage battery in the current optimal energy storage station is achieved; siAnd scoring the energy-saving performance of the charge and discharge efficiency of the storage battery storing energy in the period.
The green building index C includes the building orientation C1Body type coefficient C2Heat transfer coefficient C of enclosure structure3Window thermal insulation C4And window sunshade C5。
North and south are less loaded with cold heat towards the interior of the building than east and west. Building orientation C when the building is north-south oriented1Set to 1, building orientation C when east-west orientation1Is 0, otherwise a number between 0 and 1.
When the heat transfer coefficients of the building envelope structures are equal, the larger the size coefficient of the building is, the poorer the heat insulation performance is, and the higher the energy consumption is; simulation experiments show that if the form factor is increased by 0.1 unit, the energy consumption of the corresponding building is increased by about 25 percent. Body type coefficient C2Calculated by the following formula:
wherein S is a building body form coefficient; f0The external surface area of the building; v0Is the building volume.
Heat transfer coefficient of building envelope C3Calculated by the following formula:
wherein R is0Is the total heat transfer resistance; kHThe heat transfer coefficient of the building envelope.
Window thermal insulation C4And scoring from 0-1 energy efficiency, wherein the higher the score is, the better the heat insulation performance of the window is.
Window sunshade C when building window of comprehensive energy station has no sunshade measure5Taking 0, window sunshade C when there is sunshade measure51 is taken.
The energy environment index D comprises the energy-saving performance D of the lighting lamp1Heating and ventilation system index D2And noise reduction system index D3。
Energy-saving performance D of lighting lamp1Calculated by the following formula:
wherein N isLThe total number of lamps in the comprehensive energy station; m is the total number of the energy-saving lamps in the comprehensive energy station; pjThe power of the jth lamp in the comprehensive energy station; pes，iThe power of the ith energy-saving lamp in the comprehensive energy station is obtained.
The energy saving of the heating and ventilation system is mainly realized by making different air conditioning schemes according to different working environments. At worst energy consumption ratio, heating and ventilation system index D2Is 0; when the energy consumption ratio is improved by more than 200%, the index D of the heating and ventilation system2Is 1; others are numbers between 0 and 1.
When the noise is above 75 decibels, the noise reduction system index D30, noise below 20 dB, noise reduction system index D3Is 1, otherwise a number between 0 and 1.
S2: and carrying out standardization treatment of an analytic hierarchy process on the selected indexes.
The standardization treatment is to unify the indexes into a maximum index which is a dimensionless numerical value between [0, 1 ]; and when the analytic hierarchy process is integrated upwards step by step, determining the weight of each evaluation index by adopting AHP based on 9-level scale.
Because the difference between the dimension of each index and the change interval of the index value is large, the evaluation index needs to be subjected to standardized processing in order to ensure the objectivity and rationality of the evaluation result.
The index is classified into three types of very large, very small, and interval type, and in this example, it is unified into a very large index and normalized to a dimensionless value between [0, 1 ].
The comprehensive evaluation of the energy efficiency of the comprehensive energy station has three layers of indexes, the integral energy efficiency level of the comprehensive energy station can be obtained only by integrating the indexes upwards step by step, the indexes have difference aiming at the importance of the indexes at the upper layer, and the indexes are embodied by giving different weights.
S3: and (5) calculating the grey correlation degree of the index by using a grey analysis method.
S31: determining an ideal integrated energy station R0Is a reference column, denoted as R0＝[r01，r02，…r0n]Taking the optimum value of each index as r0j(j ═ 1, 2, …, n).
The initial index matrix R is used for representing the comprehensive energy station participating in the evaluation and the values of indexes thereof, and is as follows:
wherein n is the number of the energy efficiency evaluation indexes of the comprehensive energy station; and m is the number of the comprehensive energy stations to be evaluated.
S32: dimensionless treatment R0Combining the processed dimensionless data with each evaluation index to obtain a new index matrix S of the object to be evaluated:
due to R0The normalized value is 1 because it is the optimum value of each index.
S33: order Si＝(Si1，Si2，…，Sin) Wherein i is 0, 1, …, m;
with S0For reference, S is calculated sequentiallyiAnd S0Correlation coefficient β of corresponding indexi(j)：
Wherein i is 1, 2, …, m; j is 1, 2, …, n; ρ is a resolution coefficient of each index.
The resolution coefficient rho is obtained according to the calculation result of AHP, as shown in the formula:
wherein, UijThe normalized value of the jth index of the ith comprehensive energy station is shown; omegajIs the weight of the jth index.
S34: calculating the weighted average of the index association degrees aiming at the evaluated objects to obtain the gray association degree x between each evaluated object and the ideal objectiAs shown in formula:
wherein, ω isjIs the weight of the jth index.
S4: and analyzing the calculation result to guide the construction and reconstruction of the comprehensive energy station.
According to grey correlation degree xiThe value of the sum is used for judging the energy efficiency quality degree of each comprehensive energy source station; degree of gray correlation xiThe larger the value, the higher the energy efficiency level of the integrated energy plant.
And according to various performance indexes obtained by screening calculation, using a corresponding energy-saving technology to reduce various index values by using a novel energy-saving technology so as to achieve the aim of realizing a green energy-saving energy station.
For improving the index A of the energy-saving main transformer1In the process of selecting the type and the capacity of the distribution transformer, on the basis of technical feasibility, energy-saving economical products with lower control loss rate, such as S11 and S13 energy-saving economical distribution transformers, are preferred.
For improving the index A of the temperature and humidity adjusting device of the control cabinet2Through environment cooling and dehumidifying measures such as an automatic roof circulating water spray cooling system and a movable air cooler, the temperature in the cabinet is controlled below 35 ℃, and the problem of cooling and dehumidifying the cabinet body is effectively solved.
To improve the eddy current suppression capability A3The wall bushing is made of a non-magnetic steel plate, so that the problems of electromagnetic induction heating and eddy current caused by the action of a magnetic field of the high-voltage comprehensive energy station are solved, and the loss is reduced.
For improving the energy utilization rate B of the data center1And under the condition that the IT power consumption is not changed, the PUE value can be effectively improved by reducing the power consumption of non-IT equipment.
To increase the load form factor B2The energy storage transfers the electric energy of the low-carbon emission power supply to the peak load period for use in the non-peak load period, thereby reducing the consumption of high-emission energy.
For increasing the orientation of buildings C1According to the site conditions, the buildings preferentially select the north-south orientation.
To increase the body shape factor C2The building needs to be in a square building shape and has few concave angles.
For improving heat transfer coefficient C of building enclosure3An air interlayer is additionally arranged between the external decorative plate and the heat-insulating layer, and multiple adjustments of heat insulation in winter and heat dissipation in summer of the building can be realized through the heat-insulating louver boards capable of rotating to adjust the angle.
For improving thermal insulation of windows C4Filling the massive aerogel glass or the particle aerogel into the middle of the two pieces of glass, and then sealing the periphery of the glass to prepare the aerogel glass.
For improving sun-shading effect of window C5The sunshade adopts greening vegetation sunshade, building shape and building means of self-sunshade, external sunshade and internal sunshade.
For improving sun-shading effect of window C5And the comprehensive energy station is provided with the mobile lighting equipment, so that the number of outdoor field lighting lamps is reduced.
For improving the index D of the heating and ventilation system2The dry-wet mixed cooling water system is used as the core of four groups of radiating modules of a data center, a power distribution unit building and an energy storage station in the station. The data center adopts a 'double heat dissipation' module, and the active cooling of a data center server is realized through an 'indirect evaporative cooling' module and a 'spraying liquid cooling CDU' module. ' Water source multi-connection VRV ' heat dissipation module of power distribution unit building and ' cooling water type essence of energy storage stationThe 'heat dissipation module' of the air conditioner ensures that the refrigeration efficiency is far higher than that of a common air conditioner, and the energy efficiency ratio of the comprehensive energy station is improved.
According to the comprehensive energy efficiency evaluation method, an energy efficiency comprehensive evaluation index system of a multi-station fusion comprehensive energy station is established, a grey correlation analysis method is combined with AHP, the energy efficiency of the comprehensive energy station is integrally evaluated, and evaluation results provide a basis for energy-saving construction and transformation of the comprehensive energy station. And according to each performance index obtained by calculation, using a corresponding energy-saving technology to reduce each index value by using a novel energy-saving technology, thereby achieving the aim of realizing a green energy-saving energy station.
Claims (10)
1. A comprehensive energy station energy efficiency assessment method based on an analytic hierarchy process is characterized by comprising the following steps:
s1: establishing an energy efficiency evaluation index system of the comprehensive energy station; the system comprises an electrical equipment index A, a system operation index B, a green building index C and an energy environment index D;
s2: carrying out standardization treatment of an analytic hierarchy process on the selected indexes;
s3: calculating the grey correlation degree of the index by using a grey analysis method;
s4: and analyzing the calculation result to guide the construction and reconstruction of the comprehensive energy station.
2. The method for evaluating the energy efficiency of an integrated energy station based on the analytic hierarchy process of claim 1, wherein the electrical equipment index A comprises an energy-saving main transformer index A1And a temperature and humidity adjusting device index A of the control cabinet2And eddy current suppression capability A3(ii) a The operation system index B comprises the energy utilization rate B of the data center1Load shape factor B2And energy storage conversion efficiency B3(ii) a The green building index C comprises the building orientation C1Body type coefficient C2Heat transfer coefficient C of enclosure structure3Window thermal insulation C4And window sunshade C5(ii) a The energy environment index D comprises the energy-saving performance D of the lighting lamp1Heating and ventilation system index D2And noise reduction system index D3。
3. The method for evaluating the energy efficiency of the comprehensive energy station based on the analytic hierarchy process of claim 2, wherein the index A of the energy-saving main transformer is1Calculated by the following formula:
wherein N isTThe total number of the main transformers is; n is a radical ofNCTThe number of the energy-saving main transformers is increased;
control cabinet temperature and humidity adjusting device index A2Calculated by the following formula:
wherein N is1、N2、N3The number of the heating sheets, the heating sheets with the fans and the heat exchangers in the comprehensive energy station are respectively;
the eddy current suppressing capability A3Calculated by the following formula:
wherein, P0For power-saving measures, post-power, PautoThe total power of the equipment under automatic control.
4. The analytic hierarchy process-based energy efficiency assessment method for integrated energy plant of claim 2, wherein the energy utilization rate B of the data center is1Using the PUE index, calculated by the following formula:
wherein E isDThe total energy consumption of the data center; eIFor total energy consumption of IT equipment；ECThe total energy consumption of the refrigeration equipment is realized; l isSLoss for power supply and distribution; l isATo assist with system losses;
the load shape factor B2Calculated by the following formula:
wherein, IeffRms current over a period of time; i isarIs the average current;
the energy storage conversion efficiency B3Calculated by the following formula:
wherein N isDTThe charging and discharging efficiency of the storage battery in the current optimal energy storage station is achieved; siAnd scoring the energy-saving performance of the charge and discharge efficiency of the storage battery storing energy in the period.
5. The analytic hierarchy process-based energy station efficiency assessment method of claim 2, wherein the building is oriented C when the building is oriented north and south1Set to 1, building orientation C when east-west orientation10, otherwise a number between 0 and 1;
the body type coefficient C2Calculated by the following formula:
wherein S is a building body form coefficient; f0The external surface area of the building; v0Is the building volume;
the heat transfer coefficient C of the building envelope3Calculated by the following formula:
wherein R is0Is the total heat transfer resistance; kHThe heat transfer coefficient of the building envelope;
the window heat insulation C4Scoring from 0-1 energy efficiency, wherein the higher the score is, the better the heat insulation performance of the window is;
window sunshade C when building window of comprehensive energy station has no sunshade measure5Taking 0, window sunshade C when there is sunshade measure51 is taken.
6. The comprehensive energy station energy efficiency assessment method based on analytic hierarchy process of claim 2, wherein the energy saving performance D of the lighting fixture1Calculated by the following formula:
wherein N isLThe total number of lamps in the comprehensive energy station; m is the total number of the energy-saving lamps in the comprehensive energy station; pjThe power of the jth lamp in the comprehensive energy station; pes，iThe power of the ith energy-saving lamp in the comprehensive energy station is obtained;
at worst energy consumption ratio, heating and ventilation system index D2Is 0; when the energy consumption ratio is improved by more than 200%, the index D of the heating and ventilation system2Is 1; otherwise a number between 0 and 1;
when the noise is above 75 decibels, the noise reduction system index D30, noise below 20 dB, noise reduction system index D3Is 1, otherwise a number between 0 and 1.
7. The method for evaluating the energy efficiency of the comprehensive energy station based on the analytic hierarchy process, according to any one of claims 1 to 6, characterized in that the standardization process is to unify indexes into a maximum index and is a dimensionless numerical value between [0, 1 ]; and when the analytic hierarchy process is integrated upwards step by step, determining the weight of each evaluation index by adopting AHP based on 9-level scale.
8. The analytic hierarchy process-based comprehensive energy plant energy efficiency assessment method of claim 7, wherein the step S3 comprises the following steps:
s31: determining an ideal integrated energy station R0Is a reference column, denoted as R0＝[r01，r02，…r0n]Taking the optimum value of each index as r0j(j ═ 1, 2, …, n);
the initial index matrix R is used for representing the comprehensive energy station participating in the evaluation and the values of indexes thereof, and is as follows:
wherein n is the number of the energy efficiency evaluation indexes of the comprehensive energy station; m is the number of the comprehensive energy stations to be evaluated;
s32: dimensionless treatment R0Combining the processed dimensionless data with each evaluation index to obtain a new index matrix S of the object to be evaluated:
s33: order Si＝(Si1，Si2，…，Sin) Wherein i is 0, 1, …, m;
with S0For reference, S is calculated sequentiallyiAnd S0Correlation coefficient β of corresponding indexi(j)：
Wherein i is 1, 2, …, m; j is 1, 2, …, n; rho is the resolution coefficient of each index;
s34: calculating the weighted average of the index association degrees aiming at the evaluated objects to obtain the gray association degree x between each evaluated object and the ideal objectiAs shown in formula:
wherein, ω isjIs the weight of the jth index.
9. The comprehensive energy station energy efficiency assessment method based on the analytic hierarchy process of claim 8, wherein the resolution coefficient p is obtained according to the calculation result of the AHP, as shown in the following formula:
wherein, UijThe normalized value of the jth index of the ith comprehensive energy station is shown; omegajIs the weight of the jth index.
10. The analytic hierarchy process-based comprehensive energy station energy efficiency assessment method of claim 8, wherein the step S4 is performed according to gray correlation xiThe value of the sum is used for judging the energy efficiency quality degree of each comprehensive energy source station; degree of gray correlation xiThe larger the value, the higher the energy efficiency level of the integrated energy plant.
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