CN114444943A - Dynamic evaluation method for energy consumption level of longitudinal dimension and transverse dimension - Google Patents

Dynamic evaluation method for energy consumption level of longitudinal dimension and transverse dimension Download PDF

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CN114444943A
CN114444943A CN202210105693.5A CN202210105693A CN114444943A CN 114444943 A CN114444943 A CN 114444943A CN 202210105693 A CN202210105693 A CN 202210105693A CN 114444943 A CN114444943 A CN 114444943A
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吴蔚沁
蒋友娣
卜震
胡新霞
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Shanghai Building Science Research Institute Co Ltd
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Abstract

The invention discloses a dynamic evaluation method for energy consumption levels in longitudinal and transverse dimensions, which comprises the following steps: determining the type and the evaluation date of a building to be evaluated; according to the energy consumption monitoring data of the type of building, respectively obtaining a first evaluation function of the type of building on the evaluation date and a second evaluation function of the type of building on the same time in the last year of the evaluation date through a clustering method, obtaining a current score average value A1 of the type of building in the current year, a current score B1 of the building to be evaluated in the current year and a current score B2 of the building to be evaluated in the last year according to the energy consumption monitoring data, and obtaining a comprehensive evaluation index of the building to be evaluated; and carrying out cluster analysis on the comprehensive evaluation index of the building of the type to obtain the energy consumption grade corresponding to the function to be evaluated. The method fills the blank of dynamic benchmarking of the energy consumption of the public buildings, provides a new thought and direction for the large-scale application of the energy consumption monitoring data of the public buildings and the daily management and control of the buildings, and promotes the technical progress and development of the energy-saving industry.

Description

Dynamic evaluation method for energy consumption level of longitudinal dimension and transverse dimension
Technical Field
The invention relates to the field of building energy consumption monitoring, in particular to a dynamic evaluation method for energy consumption levels in longitudinal and transverse dimensions.
Background
In the aspect of public building energy consumption data measurement, along with the continuous popularization of subentry measurement work, the number of buildings which are connected into a public building energy consumption monitoring system every year is continuously increased. By 31 days 12 months in 2019, the accumulated amount of Shanghai city exceeds 1700 public buildings, the installation of the energy use subentry metering device is completed, the data networking with an energy consumption monitoring platform is realized, and the coverage area of the energy use subentry metering device exceeds 8000 ten thousand m 2. With the full coverage of the energy consumption monitoring system, the problem of metering the existence and nonexistence of energy consumption data is solved basically at present, but the basic effect of really improving the energy efficiency of the building by the energy consumption monitoring data cannot be really played in the aspects of deep data mining and effective data utilization on the use side of the building.
At present, a great number of scholars at home and abroad make a great deal of statistics, analysis and research on how to evaluate building energy efficiency, especially public building energy efficiency. At present, the main energy consumption analysis methods are divided into three types: statistical methods, simulation methods and artificial intelligence methods. One of representatives of the statistical methods is a regression model, an important inclusion model is selected from a plurality of factors influencing the energy consumption of the building, such as weather parameters, building characteristics, energy consumption characteristics, personnel factors and the like, multiple regression is carried out by using the existing energy consumption database, and an energy consumption regression equation of a specific type of building is obtained. The simulation method is to establish a physical building model through computer-aided software and simulate and calculate the energy consumption of the building, and the method depends on the performance of simulation software and has larger modeling workload. The artificial intelligence method is to mine the association between parameters through historical data by data mining techniques, such as BP, ANN, SVM, etc., but the method is a black box model and cannot describe the relationship between parameters visually.
In conclusion, the conventional evaluation method mainly evaluates the building energy consumption by adopting static index values obtained by annual statistical data, and the research on the building energy consumption characteristics is focused on historical data of a single building; the longitudinal and lateral data are not adequately combined.
Therefore, the invention fully utilizes the real-time data of the energy consumption monitoring of the public buildings, establishes a vertical and horizontal two-dimensional comprehensive energy consumption index evaluation method through a cluster analysis method, can realize dynamic benchmarking (daily evaluation) of the energy consumption level, and solves the daily management and control benchmarking problem of the buildings.
Disclosure of Invention
In view of the above defects in the prior art, the invention aims to provide a vertical and horizontal two-dimensional dynamic evaluation method for energy consumption level, which makes full use of real-time data of public building energy consumption monitoring, realizes dynamic benchmarking (daily evaluation) of energy consumption level, and solves the daily management and control benchmarking problem of buildings.
The technical purpose of the invention is realized by the following technical scheme:
in order to achieve the aim, the invention provides a method for dynamically evaluating the energy consumption level in longitudinal and transverse dimensions, which comprises the following steps:
determining the type and the evaluation date of a building to be evaluated;
according to the energy consumption monitoring data of the type of building, respectively obtaining a first evaluation function of the type of building on the evaluation date and a second evaluation function of the type of building on the same year on the evaluation date by a clustering method;
obtaining a current grade average value A1 of the type of building in the current year and a current grade B1 of the building to be evaluated in the current year according to the energy consumption monitoring data of the evaluation date and a first evaluation function;
obtaining a grade B2 of the building to be evaluated in the same year according to the energy consumption monitoring data of the building to be evaluated in the same year on the evaluation date and a second evaluation function;
calculating the transverse evaluation index of the building to be evaluated, wherein the expression is as follows: the transverse evaluation index is B1 of the current-year score of the building to be evaluated/an average value A1 of the current-year score of the type of building;
calculating the longitudinal evaluation index of the building to be evaluated, wherein the expression is as follows: the longitudinal evaluation index is B1 of the current year of the building to be evaluated/B2 of the same year of the building to be evaluated;
calculating the comprehensive evaluation index of the building to be evaluated: the comprehensive evaluation index is the longitudinal evaluation index multiplied by the transverse evaluation index;
calculating a comprehensive evaluation index of each building in the type of building according to the energy consumption monitoring data of the type of building; and performing cluster analysis on the comprehensive evaluation indexes of the buildings of the type to obtain a comprehensive evaluation function through a clustering method, and substituting the comprehensive evaluation indexes of the buildings to be evaluated into the comprehensive evaluation function to obtain the energy consumption grade number corresponding to the buildings to be evaluated.
A further improvement of the present invention is that the obtaining process of the first evaluation function specifically includes: aiming at the energy consumption of each building in the type of building in unit area on the evaluation date, the buildings are divided into 10 types by a clustering method, the types are recorded as 0.5-5 points from small to large according to a clustering core, and the type is divided into 0.5 point every time, so that a first evaluation function is obtained.
The invention is further improved in that the process of obtaining the current-year score average A1 of the building of the type and the current-year score B1 of the building to be evaluated specifically comprises the following steps:
substituting the unit area energy consumption of each building in the class of buildings into a first evaluation function to obtain the score of each building in the class of buildings on the evaluation date, and averaging the scores of each building to obtain the average score A1 of the class of buildings in the current year;
and substituting the energy consumption per unit area of the building to be evaluated on the evaluation date into the first evaluation function to obtain the current-year score B1 of the building to be evaluated.
A further improvement of the present invention is that the obtaining process of the second evaluation function specifically includes: aiming at the energy consumption of each building in the type of building in unit area at the same time of one year on the evaluation date, the buildings are divided into 10 types by a clustering method, each type is marked as 0.5-5 points from small to large according to the clustering core, and each type is divided into 0.5 point, so that a second evaluation function is obtained.
The invention further improves the method that the process of obtaining the year-round simultaneous score B2 of the building to be evaluated specifically comprises the following steps: and substituting the energy consumption per unit area of the building to be evaluated at the same time of one year on the evaluation date into a second evaluation function to obtain a score B2 of the building to be evaluated at the same time of the last year.
The further improvement of the invention is that the acquisition process of the comprehensive evaluation function specifically comprises the following steps: aiming at the comprehensive evaluation index of each building in the type of building, the building is divided into five types by a clustering method, and each type is marked as 1 to 5 grades from small to large according to a clustering core.
In a preferred embodiment of the present invention, the apparatus provided by the present invention has the following technical effects:
the method has the advantages that real-time data of public building energy consumption monitoring are fully utilized, a vertical and horizontal two-dimension comprehensive energy consumption index evaluation method is established through a cluster analysis method, the bottleneck that annual static energy consumption dynamic benchmarking can only be realized through conventional utilization of reasonable energy guide is broken through, the method can realize finer energy consumption level granularity and real-time dynamic benchmarking, the problem of daily management and control benchmarking of buildings is solved, and the development and progress of the energy-saving industry are promoted.
Drawings
FIG. 1 is a flow chart of a method for dynamically evaluating energy consumption levels in two dimensions, vertical and horizontal, according to the present invention.
Detailed Description
The following embodiments of the present invention are provided by way of specific examples, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
Example (b): as shown in fig. 1, the present embodiment uses a building as a building to be evaluated, and uses 1 month and 1 day (holiday) of 2017 as evaluation dates; the dynamic evaluation method of the energy consumption level in longitudinal and transverse dimensions of the invention is described as follows according to the total energy consumption as an example:
firstly, determining the type of a building to be evaluated, and calculating the average score of the building of the type by a clustering method according to the energy consumption monitoring data of the building of the type. In the step, all buildings with total energy consumption unit consumption (energy consumption per unit area) of more than 0 and less than 3kWh in 1 month and 1 day in 2017 are selected as buildings of the same type, the buildings of the same type are divided into 10 types according to unit consumption by using a kmeans algorithm, the type with the minimum clustering core is marked as 0.5, the type with the maximum clustering core is marked as 5, and the grade with 0.5 is marked as 10, so that the buildings in each type have a corresponding grade. The method comprises the following specific steps:
assuming that the clustering cores of all buildings of the same type meeting the requirements on 1 month and 1 day in 2017 are shown in the following table, the minimum value of the clustering cores is 0.029202kwh/m2If the corresponding class number is 5 classes, and the scoring result corresponds to the lowest score of 0.5, the kmeans result is 0.5 score of all buildings of 5 classes, and so on, the first evaluation function is obtained. Therefore, each building of the same type as the building to be evaluated has a score on the date to be evaluated, the average score of each building of the type is obtained by averaging the scores of the buildings of the type, and the average score is used as the current score B1 of the building to be evaluated in the current year. In this embodiment, the first evaluation function is implemented in the form of an energy consumption index scoring table, and the specific energy consumption index scoring table is shown in table-1:
TABLE-1 first merit function
Class number Clustering kernel Results of scoring
1 1.331737 5
2 0.089622 1
3 0.26898 2
4 0.174112 1.5
5 0.029202 0.5
6 0.586996 3.5
7 0.975659 4.5
8 0.735727 4
9 0.365619 2.5
10 0.472322 3
And substituting the energy consumption data into a table-1 (a first evaluation function) to select the closest clustering core according to the energy consumption data, so as to obtain a corresponding grading result. According to the table-1, the current year and current score of the building to be evaluated and each building of the same type on the evaluation date can be determined, the current year and current score average value A1 of the building of the type can be calculated, and then the transverse evaluation index of the building to be evaluated is calculated, wherein the transverse evaluation index is the current year and current score B1 of the building to be evaluated/the current year and current score average value A1 of the building of the type.
Subsequently, the same method can be adopted to calculate the energy consumption index scoring table (second scoring function) of the buildings of the same type of the building to be evaluated at the same time of one year on the evaluation date according to the energy consumption monitoring data at the same time of one year on the evaluation date. The form and use of the daily energy consumption index rating table (second rating function) are similar to those of table-1. And after the daily energy consumption index scoring table on the same day of the previous year is obtained, substituting the energy consumption monitoring data of the building to be evaluated on the same year into the daily energy consumption index scoring table (second evaluation function) on the same year, so as to obtain a simultaneous scoring B2 of the building to be evaluated on the same year.
Since the same day of the previous year may be of a different type than the evaluation date (e.g., a day is a weekday and the same day of the previous year is a weekday), in some embodiments, the closest same type date of the same day of the previous year is taken as the same date of the previous year, depending on the type of evaluation date (whether the weekday or weekday).
And after the building to be evaluated is simultaneously scored B2 in the last year, the longitudinal evaluation index of the building to be evaluated is calculated to be B1/B2. And calculating the comprehensive evaluation index of the building to be evaluated: the overall evaluation index is the longitudinal evaluation index × the transverse evaluation index.
And finally, calculating the comprehensive evaluation index of each building of the same type as the building to be evaluated, classifying the building into five types by a clustering method according to the comprehensive evaluation index of each building in the type of building, and recording the types as 1 to 5 grades from small to large according to a clustering core, thereby obtaining a comprehensive evaluation function similar to the form of the table-1. And substituting the comprehensive evaluation index of the building to be evaluated into the comprehensive evaluation function to obtain the energy consumption grade corresponding to the building to be evaluated, wherein 5 grades respectively represent:
1 grade is excellent in energy-saving performance;
the 2 grade is good in energy consumption condition;
the energy efficiency is general in the 3 rd gear;
4, the energy efficiency is low;
the use of 5 th gear is unreasonable.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (6)

1. A longitudinal and transverse two-dimensional energy consumption level dynamic evaluation method comprises the following steps:
determining the type and the evaluation date of a building to be evaluated;
according to the energy consumption monitoring data of the type of building, respectively obtaining a first evaluation function of the type of building on the evaluation date and a second evaluation function of the type of building on the same year on the evaluation date by a clustering method;
obtaining a current grade average value A1 of the type of building in the current year and a current grade B1 of the building to be evaluated in the current year according to the energy consumption monitoring data of the evaluation date and a first evaluation function;
obtaining a grade B2 of the building to be evaluated in the same year according to the energy consumption monitoring data of the building to be evaluated in the same year on the evaluation date and a second evaluation function;
calculating the transverse evaluation index of the building to be evaluated, wherein the expression is as follows: the transverse evaluation index is B1 of the current-year score of the building to be evaluated/an average value A1 of the current-year score of the type of building;
calculating the longitudinal evaluation index of the building to be evaluated, wherein the expression is as follows: the longitudinal evaluation index is B1 of the current year of the building to be evaluated/B2 of the same year of the building to be evaluated;
calculating the comprehensive evaluation index of the building to be evaluated: the comprehensive evaluation index is the longitudinal evaluation index multiplied by the transverse evaluation index;
calculating a comprehensive evaluation index of each building in the type of building according to the energy consumption monitoring data of the type of building; and performing cluster analysis on the comprehensive evaluation indexes of the buildings of the type to obtain a comprehensive evaluation function through a clustering method, and substituting the comprehensive evaluation indexes of the buildings to be evaluated into the comprehensive evaluation function to obtain the energy consumption grade number corresponding to the buildings to be evaluated.
2. The method for dynamically evaluating energy consumption levels in two dimensions, namely a longitudinal dimension and a transverse dimension, according to claim 1, wherein the obtaining process of the first evaluation function specifically comprises: aiming at the energy consumption of each building in the type of building in unit area on the evaluation date, the building is divided into 10 types by a clustering method, each type is marked as 0.5-5 points from small to large according to a clustering core, and each type is divided into 0.5 point, so that a first evaluation function is obtained.
3. The method for dynamically evaluating the energy consumption level in longitudinal and transverse dimensions as claimed in claim 2, wherein the process of obtaining the current-year score average value A1 of the building of the type and the current-year score B1 of the building to be evaluated specifically comprises the following steps:
substituting the unit area energy consumption of each building in the class of buildings into a first evaluation function to obtain the score of each building in the class of buildings on the evaluation date, and averaging the scores of each building to obtain the average score A1 of the class of buildings in the current year;
and substituting the energy consumption per unit area of the building to be evaluated on the evaluation date into the first evaluation function to obtain the current-year score B1 of the building to be evaluated.
4. The method for dynamically evaluating energy consumption levels in two dimensions, namely a longitudinal dimension and a transverse dimension, according to claim 1, wherein the second evaluation function is obtained through a process specifically including: aiming at the energy consumption of each building in the type of building in unit area at the same time of one year on the evaluation date, the buildings are divided into 10 types by a clustering method, each type is marked as 0.5-5 points from small to large according to the clustering core, and each type is divided into 0.5 point, so that a second evaluation function is obtained.
5. The method for dynamically evaluating the energy consumption level in longitudinal and transverse dimensions as claimed in claim 4, wherein the process of obtaining the simultaneous score B2 of the building to be evaluated in the previous year specifically comprises the following steps: and substituting the energy consumption per unit area of the building to be evaluated at the same time of one year on the evaluation date into a second evaluation function to obtain a score B2 of the building to be evaluated at the same time of the last year.
6. The method for dynamically evaluating energy consumption levels in longitudinal and transverse dimensions according to claim 1, wherein the process of acquiring the comprehensive evaluation function specifically comprises: aiming at the comprehensive evaluation index of each building in the type of building, the building is divided into five types by a clustering method, and each type is marked as 1 to 5 grades according to the clustering core from small to large.
CN202210105693.5A 2022-01-28 2022-01-28 Dynamic evaluation method for energy consumption level of longitudinal dimension and transverse dimension Pending CN114444943A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115660465B (en) * 2022-10-17 2023-07-14 杭州鸿骊科技有限公司 Intelligent building integrated management system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115660465B (en) * 2022-10-17 2023-07-14 杭州鸿骊科技有限公司 Intelligent building integrated management system and method

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