CN117252038B - New energy building integrated energy-saving design analysis method - Google Patents
New energy building integrated energy-saving design analysis method Download PDFInfo
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- CN117252038B CN117252038B CN202311523662.2A CN202311523662A CN117252038B CN 117252038 B CN117252038 B CN 117252038B CN 202311523662 A CN202311523662 A CN 202311523662A CN 117252038 B CN117252038 B CN 117252038B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 33
- 238000005286 illumination Methods 0.000 claims abstract description 120
- 238000005457 optimization Methods 0.000 claims abstract description 10
- 238000004088 simulation Methods 0.000 claims abstract description 8
- 238000010248 power generation Methods 0.000 claims description 82
- 238000012544 monitoring process Methods 0.000 claims description 40
- 230000003044 adaptive effect Effects 0.000 claims description 34
- 238000000034 method Methods 0.000 claims description 26
- 230000005611 electricity Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000001932 seasonal effect Effects 0.000 claims description 8
- 230000006978 adaptation Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 abstract description 4
- 230000036578 sleeping time Effects 0.000 description 6
- 238000005265 energy consumption Methods 0.000 description 4
- 238000004134 energy conservation Methods 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Abstract
The invention belongs to the technical field of new energy building energy-saving analysis, and particularly relates to a new energy building integrated energy-saving design analysis method, which is characterized in that an energy simulation software is utilized to perform illumination simulation by combining an illumination energy-saving design layout diagram of a target building and an effective sunlight period corresponding to each season, and meanwhile, the generated energy of power supply energy correspondingly adapted to each season is predicted, so that whether the illumination energy-saving design of the target building can meet the requirements is comprehensively judged, the rationality analysis of the illumination energy-saving design effect of the new energy building is realized, the actual state is more fitted, the reliability of an analysis result can be furthest improved, and meanwhile, a specific targeted design optimization direction is provided for the illumination energy-saving design optimization of the new energy building by identifying the seasons which need to be optimized when the illumination energy-saving design of the target building cannot meet the requirements, and the value of the analysis result is greatly improved.
Description
Technical Field
The invention belongs to the technical field of new energy building energy conservation analysis, and particularly relates to a new energy building integrated energy conservation design analysis method.
Background
Under the background of energy crisis and environmental ecological pressure, the application requirements of new energy buildings are increased day by day, and the new energy buildings are buildings which utilize natural resources to the greatest extent in the design layout process and take renewable energy sources as power supply main bodies when power supply energy sources are selected, so that the renewable energy source technology and sustainable building principles are combined, the dependence on traditional energy sources is reduced, and the energy efficiency is improved.
In the energy consumption requirement of the new energy building, as illumination is one of the most basic functions in the building, illumination power consumption becomes the most basic energy consumption requirement, in order to realize the energy saving of illumination power consumption, the new energy building is generally designed by adopting efficient illumination equipment and a reasonable window lighting layout mode, but the design is always without an entity as a support, so that whether the illumination power consumption under the corresponding illumination energy saving design can adapt to the energy supply of renewable energy sources is unknown, and in this case, the illumination energy saving design effect of the new energy building needs to be analyzed.
Because the energy simulation tool can generate visual results, and the simulation tool can easily modify various aspects of the architectural design, such as architectural appearance, materials, lighting, and the like. The method is characterized in that the method is used for analyzing the illumination energy-saving design effect of the new energy building, the influence of seasons on the illumination energy is not considered in the prior art, the generated energy of renewable energy can also be different along with the change of seasons, therefore, if the seasons are not distinguished in the analysis process, the method is unreasonable, the method is not practical, the reliability of the analysis result is further influenced, and meanwhile, the specific design optimization direction cannot be provided when the illumination energy-saving design of the analysis target building cannot meet the requirements, so that the analysis result value is not high.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a new energy building integrated energy-saving design analysis method, which effectively solves the problems existing in the prior art.
The aim of the invention can be achieved by the following technical scheme: a new energy building integrated energy-saving design analysis method comprises the following steps: s1, positioning a design place of a target building, and determining season distribution months corresponding to the design place of the target building and effective sunlight periods corresponding to seasons.
S2, carrying out illumination simulation on the illumination energy-saving design layout of the target building by utilizing energy simulation software in combination with the season distribution month corresponding to the design place of the target building and the effective sunlight period corresponding to each season to form an illumination model of the target building in each season, thereby counting the total illumination duration of the target building in each season.
S3, extracting the layout quantity of the lighting equipment and the types of the lighting equipment corresponding to the layout space of each place from the lighting energy-saving design scheme of the target building, and counting the lighting power consumption of the target building in each season by combining the lighting total duration of the target building in each season.
S4, selecting an adaptive power supply energy source based on the design of the target building.
S5, obtaining effective associated power generation instructions of the adapted power supply energy sources corresponding to the design place of the target building in each season, and accordingly predicting the power generation amount of the adapted power supply energy sources in each season.
S6, analyzing the normal duty ratio coefficient of the illumination power consumption of the target building in each season, thereby utilizing the expressionAnd calculating the required electricity consumption of the target building in each season.
S7, comparing the required electricity consumption of the target building in each season with the generated energy of the adaptive power supply energy in each season, if the required electricity consumption in a certain season is larger than the generated energy of the adaptive power supply energy in a corresponding season, judging that the illumination energy-saving design of the target building cannot meet the requirements, and simultaneously pointing the season as energy-saving design optimization and transmitting the energy-saving design to a building design terminal.
As a further innovation of the present invention, the seasonal distribution month is a continuous month corresponding to each season, wherein the seasonal distribution month corresponding to the design place to which the target building belongs is determined and see the following procedure: comparing the design place to which the target building belongs with the distribution areas corresponding to various climate types in the map, comparing the climate types corresponding to the design place to which the target building belongs from the distribution areas, and matching the seasonal distribution months corresponding to the various climate types in the cloud reference library, thereby obtaining the seasonal distribution months corresponding to the design place to which the target building belongs.
As a further innovation of the invention, the specific determination mode of the effective sunlight period corresponding to each season is as follows: (1) And selecting a plurality of historical years as a plurality of monitoring years, thereby obtaining continuous months corresponding to each monitoring year in each season based on the season distribution month corresponding to the design place to which the target building belongs, and obtaining a plurality of monitoring dates corresponding to each month in each monitoring year by selecting a plurality of monitoring dates in each month.
(2) And extracting sunrise time and sunset time from weather information issued by a weather center corresponding to the design place to which the target building belongs based on a plurality of monitoring dates corresponding to each month in each monitoring year, classifying the sunrise time in the same season, classifying the sunset time in the same season, and obtaining a plurality of sunrise time samples and a plurality of sunset time samples corresponding to each season.
(3) And combining a plurality of sunrise time samples corresponding to the same season with the set interval duration to form a containing section corresponding to each sunrise time sample.
(4) Numbering a plurality of sunrise time samples corresponding to the same season according to the sequence of the monitoring year and the monitoring month, sequentially selecting the sunrise time samples as main sunrise time samples according to the numbering sequence, and comparing the accommodating interval corresponding to the main sunrise time samples with other sunrise time samples, thereby counting the number of other sunrise time samples falling into the corresponding accommodating interval in the main sunrise time samples with each sunrise time sample as the main sunrise time sample, and taking the number as the stored value of each sunrise time sample corresponding to each season.
(5) And selecting the sunrise time sample corresponding to the maximum stored value from the stored value quantities of the sunrise time samples corresponding to each season as the deviation sunrise time corresponding to each season.
(6) And (3) identifying the deviation sunset time corresponding to each season according to the same method as the steps (3) - (5).
(7) The deviated sunrise time and the deviated sunset time corresponding to each season form an effective sunshine period corresponding to each season.
As a further innovation of the present invention, the counting the total lighting duration of the target building in each season comprises the following steps: and acquiring the habit work and rest time period of the target building corresponding to the resident user, and embedding the habit work and rest time period into the illumination model of the target building in each season to obtain the illumination time period of the target building in each season.
And acquiring the single-day illumination time length corresponding to each season according to the illumination time period of the target building in each season.
And calculating the total number of days corresponding to each season based on the continuous month corresponding to each season and the number of days corresponding to each month, and calculating the total illumination duration of the target building in each season by combining the single-day illumination duration corresponding to each season.
As a further innovation of the invention, the illumination power consumption of the statistical target building in each season can be found by the following processes: and acquiring the power consumption of the lighting equipment corresponding to the space layout space in each place in unit lighting time based on the model of the lighting equipment corresponding to the space layout space in each place.
Using expressionsAnd calculating the lighting power consumption of the target building in each season.
As a further innovation of the invention, the selection of the adapted power supply energy sources is referred to as the following process: and matching the climate type corresponding to the design place to which the target building belongs with the climate resource distribution characteristics corresponding to various climate types in the cloud reference library, wherein the climate resource distribution characteristics comprise the types of the climate resources and the distribution rates of various climate resources, and matching the climate resource distribution characteristics corresponding to the design place to which the target building belongs.
And extracting the distribution rate of various climate resources from the climate resource distribution characteristics, and further selecting the climate resource corresponding to the maximum distribution rate from the distribution rate as the adaptive power supply energy.
As a further innovation of the invention, the effective associated power generation indication acquisition process of the design place of the target building, which is correspondingly adapted to the power supply energy source in each season, comprises the following steps: and extracting the associated power generation indication from weather information issued by a weather center corresponding to the design place to which the target building belongs based on a plurality of monitoring dates corresponding to each month in each monitoring year, so as to classify the associated power generation indication belonging to the same season and obtain a plurality of associated power generation indication data corresponding to each season.
And carrying out mean value calculation on a plurality of associated power generation indication data corresponding to each season to obtain average associated power generation indication data corresponding to each season, and carrying out variance calculation to obtain associated power generation indication variances corresponding to each season.
Comparing the associated power generation indication variance corresponding to each season with a preset threshold, if the associated power generation indication variance corresponding to a certain season is smaller than or equal to the preset threshold, taking the average associated power generation indication corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season, otherwise, selecting the median associated power generation indication from a plurality of associated power generation indication data corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season.
As a further innovation of the invention, the power generation amount prediction process of the adaptive power supply energy source in each season is as follows: and obtaining the model specification of the adaptive power supply energy source of the design of the target building, and accordingly obtaining the corresponding single-day power generation amount of the adaptive power supply energy source under the reference associated power generation instruction.
Using predictive formulasObtaining the generated energy of the adaptive power supply energy source in each seasonIn the formula->Indicated as season number>Wherein->Respectively expressed as spring, summer, autumn and winter,effective associated power generation indication representing the corresponding adaptation of the power supply energy source in the ith season for the design place of the target building,/->Expressed as reference associated power generation indication +.>Represented as a corresponding single day power generation of an adapted power supply source under a reference associated power generation indication,expressed as total days corresponding to the ith season.
As a further innovation of the invention, the analysis target building is operated as follows in terms of the normal duty ratio coefficient of the illumination power consumption in each season: and counting the number of people needing to be lived in the target building, and identifying the corresponding living type of the target building as the appointed living type.
And selecting a plurality of residences with the same residence type from the design place to which the target building belongs based on the specified residence type as a reference residence, thereby acquiring the lighting power consumption and the total power consumption of each reference residence in each season in each monitoring year, and further calculating the lighting power consumption duty ratio coefficient of each reference residence in each season.
Arranging the illumination power consumption ratio coefficients corresponding to each reference residence in the same season according to the sequence from small to large, sequentially taking the illumination power consumption ratio coefficients as main illumination power consumption ratio coefficients according to the arrangement result, further carrying out variance calculation on the other illumination power consumption ratio coefficients and the main illumination power consumption ratio coefficients to obtain variance values of the main illumination power consumption ratio coefficients by taking the illumination power consumption ratio coefficients in each season, and taking the illumination power consumption ratio coefficient corresponding to the minimum variance value in each season as the illumination power consumption normal ratio coefficient of the target building in each season.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the invention, the illumination simulation is performed by combining the illumination energy-saving design layout diagram of the target building and the effective sunshine period corresponding to each season by using the energy simulation software, and meanwhile, the generated energy of the power supply energy correspondingly adapted to each season is predicted, so that whether the illumination energy-saving design of the target building can meet the requirement is comprehensively judged, the rationality analysis of the illumination energy-saving design effect of the new energy building is realized, the actual state is more fitted, the reliability of the analysis result can be improved to the greatest extent, and meanwhile, when the illumination energy-saving design of the target building can not meet the requirement, the specific and targeted optimization direction is provided for the illumination energy-saving design optimization of the new energy building by identifying the seasons which need to be optimized, and the value of the analysis result is greatly improved.
2. According to the invention, when the adaptive power supply energy is selected for the new energy building, the fixed renewable resources are not directly selected as the adaptive power supply energy, but the adaptive power supply energy is preferentially selected according to the climate resources of the design place to which the new energy building belongs, so that on one hand, the local natural conditions can be better matched, the energy consumption is reduced, the whole energy cost is further reduced, and on the other hand, the new energy building has stronger adaptability and sustainability.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the steps for implementing the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a new energy building integrated energy-saving design analysis method, which comprises the following steps: s1, positioning a design place of a target building, and determining season distribution months corresponding to the design place of the target building and effective sunlight periods corresponding to seasons.
It should be understood that the design site of the target building refers to the construction site at the time of design of the target building.
The above embodiment is applied to the above embodiment, the season distribution month is a continuous month corresponding to each season, wherein the season distribution month corresponding to the design place to which the target building belongs is determined and the following procedure is referred to: comparing the design place to which the target building belongs with the distribution areas corresponding to various climate types in the map, comparing the climate types corresponding to the design place to which the target building belongs from the distribution areas, and matching the seasonal distribution months corresponding to the various climate types in the cloud reference library, thereby obtaining the seasonal distribution months corresponding to the design place to which the target building belongs.
As an example of the above-mentioned scheme, the climate types include tropical rain forest climate, tropical grassland climate, tropical monsoon climate, subtropical monsoon climate, etc., and the climate distribution caused by the difference of the climate characteristics corresponding to the different climate types is different, which makes the season distribution month different for the different climate types, for example, the subtropical monsoon climate corresponds to the spring for 3 months to 5 months (solar calendar), the summer for 6 months to 8 months (solar calendar), the autumn for 9 months to 11 months (solar calendar), and the winter for 12 months to 2 months (solar calendar).
Preferably, the effective sunlight period corresponding to each season is specifically determined as follows: (1) And selecting a plurality of historical years as a plurality of monitoring years, thereby obtaining continuous months corresponding to each monitoring year in each season based on the season distribution month corresponding to the design place to which the target building belongs, and obtaining a plurality of monitoring dates corresponding to each month in each monitoring year by selecting a plurality of monitoring dates in each month.
It should be appreciated that, in order to ensure that the number of the subsequent sunrise time samples and sunset time samples is not too small to affect the accuracy of determining the effective sunlight period, the number of the selected historical years should not be too small, should not be less than 5, and the current year is limited to perform the nearby selection, for example, the current year is 2022, and the selected historical years are 2021, 2020, 2019, 2018 and 2017.
As one example, selecting a number of monitoring dates from each month may specifically select a monitoring date with a double date from each month, and assuming that month is 5 months, 5 months 2 days, 5 months 4 days, 5 months 6 days, 5 months 8 days, 5 months 10 days, and the like may be selected.
(2) And extracting sunrise time and sunset time from weather information issued by a weather center corresponding to the design place to which the target building belongs based on a plurality of monitoring dates corresponding to each month in each monitoring year, classifying the sunrise time in the same season, classifying the sunset time in the same season, and obtaining a plurality of sunrise time samples and a plurality of sunset time samples corresponding to each season.
It should be noted that, since the monitoring date is selected from all the dates existing in the month, and belongs to the sample, the sunrise time and the sunset time extracted from the weather information corresponding to the monitoring date belong to the time sample.
(3) And combining a plurality of sunrise time samples corresponding to the same season with the set interval duration to form a containing section corresponding to each sunrise time sample.
For example, assume that several sunrise time samples corresponding to a certain season are 6: 10. 6: 20. 6: 12. 6: 15. 6: 09. 6:22, etc., and the set interval duration is 5 minutes, then the accommodation interval corresponding to each sunrise time sample is 6: 05-6: 15. 6: 15-6: 25. 6: 07-6: 17. 6: 10-6: 20. 6: 04-6: 14. 6: 17-6: 27.
(4) Numbering a plurality of sunrise time samples corresponding to the same season according to the sequence of the monitoring year and the monitoring month, sequentially selecting the sunrise time samples as main sunrise time samples according to the numbering sequence, and comparing the accommodating interval corresponding to the main sunrise time samples with other sunrise time samples, thereby counting the number of other sunrise time samples falling into the corresponding accommodating interval in the main sunrise time samples with each sunrise time sample as the main sunrise time sample, and taking the number as the stored value of each sunrise time sample corresponding to each season.
(5) And selecting the sunrise time sample corresponding to the maximum stored value from the stored value quantities of the sunrise time samples corresponding to each season as the deviation sunrise time corresponding to each season.
(6) And (3) identifying the deviation sunset time corresponding to each season according to the same method as the steps (3) - (5).
(7) The deviated sunrise time and the deviated sunset time corresponding to each season form the effective sunshine duration corresponding to each season, wherein。
S2, carrying out illumination simulation on an illumination energy-saving design layout of the target building by utilizing energy simulation software in combination with the season distribution month corresponding to the design place to which the target building belongs and the effective sunlight period corresponding to each season to form an illumination model of the target building in each season, thereby counting the total illumination time length of the target building in each season, wherein the specific statistical process is as follows: and acquiring the habit work and rest time period of the target building corresponding to the resident user, and embedding the habit work and rest time period into an illumination model of the target building in each season to obtain the illumination time period of the target building in each season, wherein the illumination time period is composed of a starting illumination time and an ending illumination time.
It is known that the habit rest period of the resident user is a habit night sleep period of the resident user, and is specifically composed of sleeping time and getting-up time, when more than one resident user is located in the target building, the sleeping time can be extracted from the habit rest period of each resident user for comparison, the latest sleeping time is selected as the reference sleeping time, meanwhile, the getting-up time is extracted from the habit rest period of each resident user for comparison, the earliest getting-up time is selected as the reference getting-up time, and the reference sleeping time and the reference getting-up time are further formed into the habit rest period.
According to the invention, when the illumination time period of the target building in each season is acquired, other time periods except the non-effective day time period in one day are not selected as the illumination time periods directly according to the effective day time periods corresponding to each season, but the habit work and rest time periods of the resident user are embedded, because the illumination is not required for all the corresponding time periods in the night state although the other time periods except the non-effective day time periods of the target building are in the night state, and the sleeping time period of a person generally does not need to be illuminated, so that the time period after the habit work and rest time periods of the resident user are removed from the other time periods except the non-effective day time periods in one day can be called as the illumination time period, so that the acquisition of the illumination time period is more reasonable.
The single-day illumination time length corresponding to each season is obtained according to the illumination time period of the target building in each season, and particularly the single-day illumination time length can be obtained by subtracting the initial illumination time from the final illumination time in the illumination time period.
And calculating the total number of days corresponding to each season based on the continuous month corresponding to each season and the number of days corresponding to each month, and multiplying the total number of days corresponding to each season by the single-day illumination time length corresponding to each season to calculate the illumination total time length of the target building in each season.
The invention analyzes the lighting required by the target building after the day when analyzing the total lighting time of the target building in each season.
S3, extracting the layout quantity of the lighting equipment and the lighting equipment models corresponding to the layout space of each place from the lighting energy-saving design scheme of the target building, and counting the lighting power consumption of the target building in each season by combining the lighting total duration of the target building in each season, wherein the specific counting process is as follows: and acquiring the unit illumination time length electricity consumption of the illumination equipment corresponding to the space arranged everywhere from the use instruction of the illumination equipment based on the illumination equipment model corresponding to the space arranged everywhere.
Using expressionsAnd calculating the lighting power consumption of the target building in each season.
The invention analyzes the lighting power consumption of the target building in each season on the premise that all spaces for arranging the lighting equipment of the target building need to be illuminated after sunset.
S4, selecting an adaptive power supply energy based on the design of a target building, wherein the specific selection process comprises the following steps of:
and matching the climate type corresponding to the design place to which the target building belongs with the climate resource distribution characteristics corresponding to various climate types in the cloud reference library, wherein the climate resource distribution characteristics comprise the types of the climate resources and the distribution rates of various climate resources, and matching the climate resource distribution characteristics corresponding to the design place to which the target building belongs.
It is to be understood that the climate resource referred to in the present invention only powers the target building, in which case the climate resource referred to is solar or wind energy, since the powering device for solar or wind energy is easy to build.
And extracting the distribution rate of various climate resources from the climate resource distribution characteristics, and further selecting the climate resource corresponding to the maximum distribution rate from the distribution rate as the adaptive power supply energy.
According to the invention, when the adaptive power supply energy is selected for the new energy building, the fixed renewable resources are not directly selected as the adaptive power supply energy, but the adaptive power supply energy is preferentially selected according to the climate resources of the design place to which the new energy building belongs, so that on one hand, the local natural conditions can be better matched, the energy consumption is reduced, the whole energy cost is further reduced, and on the other hand, the new energy building has stronger adaptability and sustainability.
S5, obtaining effective associated power generation instruction of the corresponding adapted power supply energy source of the design place of the target building in each season, thereby predicting the power generation amount of the adapted power supply energy source in each season,
preferably, the specific implementation process of obtaining the effective associated power generation instruction of the design place of the target building, which is correspondingly adapted to the power supply energy source in each season, is as follows: and extracting the associated power generation indication from weather information issued by a weather center corresponding to the design place to which the target building belongs based on a plurality of monitoring dates corresponding to each month in each monitoring year, so as to classify the associated power generation indication belonging to the same season and obtain a plurality of associated power generation indication data corresponding to each season.
In the above, when the adaptive power supply energy source is solar energy, the associated power generation indication is illumination intensity and illumination duration, and when the adaptive power supply energy source is wind energy, the associated power generation indication is wind speed and wind-up duration.
Average value calculation is carried out on a plurality of associated power generation indication data corresponding to each season to obtain average associated power generation indication data corresponding to each season, and variance calculation is carried outAnd obtaining associated power generation indication variances corresponding to each season.
Comparing the associated power generation indication variance corresponding to each season with a preset threshold, if the associated power generation indication variance corresponding to a certain season is smaller than or equal to the preset threshold, taking the average associated power generation indication corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season, otherwise, selecting the median associated power generation indication from a plurality of associated power generation indication data corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season.
According to the invention, when the effective associated power generation indication corresponding to the adaptive power supply energy source is analyzed, the condition that the distribution of a plurality of associated power generation indication data corresponding to each season is uneven is considered, so that the discrete degree analysis of the associated power generation indication data is needed to be performed by utilizing variance operation, when the variance is smaller, the distribution of the associated power generation indication data is more uniform and symmetrical, the average value can be used for describing the central trend of the associated power generation indication data, when the variance is larger, the distribution of the associated power generation indication data is more distributed, the extreme value exists, and when the average value is used for describing the central trend of the associated power generation indication data, the influence of the extreme value is easy, so that the central trend of the associated power generation indication data is more reasonable by utilizing median description, and the reliability of the effective associated power generation indication analysis is improved.
Further preferably, the prediction process of the power generation amount of the adapted power supply energy source in each season is as follows: and obtaining the model specification of the adaptive power supply energy source of the design of the target building, and further obtaining the corresponding single-day power generation amount of the adaptive power supply energy source under the reference associated power generation instruction from the corresponding use instruction.
Using predictive formulasObtaining the power generation capacity of the adaptive power supply energy source in each season>In the formula->Indicated as season number>Wherein->Respectively expressed as spring, summer, autumn and winter, < >>Effective associated power generation indication representing the corresponding adaptation of the power supply energy source in the ith season for the design place of the target building,/->Expressed as reference associated power generation indication +.>Representing the corresponding single-day power generation amount of the adapted power supply energy source under the reference associated power generation instruction, +.>Expressed as total days corresponding to the ith season.
S6, analyzing the normal duty ratio coefficient of the illumination power consumption of the target building in each season, thereby utilizing the expressionAnd calculating the required electricity consumption of the target building in each season. For example, the normal duty cycle of the lighting power consumption is +.>Then->。
In the above, the analysis of the normal duty ratio coefficient of the illumination power consumption of the target building in each season is as follows: and counting the number of people needing to be lived in the target building, and identifying the corresponding living type of the target building as the appointed living type.
Illustratively, the designated residential type is a person's home, a double's home, a triple's home, or the like. In the implementation process, when the number of people is 1, the living type is designated as a family of one person, when the number of people is 2, the living type is designated as a family of two persons, and generally, the more the number of people needing living, the more the required electricity consumption.
It should be understood that, since the power supply of the adaptive power supply energy source to the target building is the power supply of all power consumption demands, the lighting power consumption is only a part of the power consumption, and thus the required power consumption of the target building in each season needs to be calculated based on the lighting power consumption for subsequent comparison.
And selecting a plurality of residences with the same residence type from the design place to which the target building belongs based on the specified residence type as a reference residence, thereby acquiring the lighting power consumption and the total power consumption of each reference residence in each season in each monitoring year, and further calculating the lighting power consumption duty ratio coefficient of each reference residence in each season.
The duty ratio coefficients of the illumination power consumption corresponding to each reference house in the same season are arranged in the order from small to large, andsequentially taking the duty ratio coefficients of the illumination power consumption as the duty ratio coefficients of the main illumination power consumption according to the arrangement result, further carrying out variance calculation on the duty ratio coefficients of other illumination power consumption and the duty ratio coefficients of the main illumination power consumption to obtain variance values of the duty ratio coefficients of the main illumination power consumption by taking the duty ratio coefficients of the illumination power consumption as the duty ratio coefficients of the main illumination power consumption in each season, wherein the variance values of the duty ratios of the illumination power consumption are calculated according to the arrangement resultAnd taking the illumination power consumption ratio coefficient corresponding to the minimum variance value in each season as the illumination power consumption normal state ratio coefficient of the target building in each season.
S7, comparing the required electricity consumption of the target building in each season with the generated energy of the adaptive power supply energy in each season, if the required electricity consumption in a certain season is larger than the generated energy of the adaptive power supply energy in a corresponding season, judging that the illumination energy-saving design of the target building cannot meet the requirements, and simultaneously pointing the season as energy-saving design optimization and transmitting the energy-saving design to a building design terminal.
The invention also uses a cloud reference library in the implementation process, which is used for storing season distribution months corresponding to various climate types and storing climate resource distribution characteristics corresponding to various climate types.
According to the invention, the illumination simulation is performed by combining the illumination energy-saving design layout diagram of the target building and the effective sunshine period corresponding to each season by using the energy simulation software, and meanwhile, the generated energy of the power supply energy correspondingly adapted to each season is predicted, so that whether the illumination energy-saving design of the target building can meet the requirement is comprehensively judged, the rationality analysis of the illumination energy-saving design effect of the new energy building is realized, the actual state is more fitted, the reliability of the analysis result can be improved to the greatest extent, and meanwhile, when the illumination energy-saving design of the target building can not meet the requirement, the specific and targeted optimization direction is provided for the illumination energy-saving design optimization of the new energy building by identifying the seasons which need to be optimized, and the value of the analysis result is greatly improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (6)
1. The new energy building integrated energy-saving design analysis method is characterized by comprising the following steps of:
s1, positioning a design place of a target building, and determining season distribution months corresponding to the design place of the target building and effective sunshine periods corresponding to seasons;
s2, carrying out illumination simulation on an illumination energy-saving design layout of the target building by utilizing energy simulation software in combination with the season distribution month corresponding to the design place of the target building and the effective sunlight period corresponding to each season to form an illumination model of the target building in each season, so as to count the total illumination duration of the target building in each season;
s3, extracting the layout quantity of the lighting equipment and the types of the lighting equipment corresponding to the layout space of each place from the lighting energy-saving design scheme of the target building, and counting the lighting power consumption of the target building in each season by combining the lighting total duration of the target building in each season;
s4, selecting an adaptive power supply energy source based on the design land of the target building;
s5, obtaining effective associated power generation instructions of the adapted power supply energy sources corresponding to the design place of the target building in each season, and accordingly predicting the power generation amount of the adapted power supply energy sources in each season;
s6, analyzing the normal duty ratio coefficient of the illumination power consumption of the target building in each season, thereby utilizing the expressionCalculating the required electricity consumption of the target building in each season;
s7, comparing the required electricity consumption of the target building in each season with the generated energy of the adaptive power supply energy in each season, if the required electricity consumption in a certain season is larger than the generated energy of the adaptive power supply energy in a corresponding season, judging that the illumination energy-saving design of the target building cannot meet the requirements, and simultaneously directing the season as energy-saving design optimization and transmitting the energy-saving design to a building design terminal;
the selection of the adaptive power supply energy is as follows:
matching the climate type corresponding to the design place to which the target building belongs with the climate resource distribution characteristics corresponding to various climate types in the cloud reference library, wherein the climate resource distribution characteristics comprise the types of the climate resources and the distribution rates of various climate resources, and matching the climate resource distribution characteristics corresponding to the design place to which the target building belongs;
extracting the distribution rate of various climate resources from the climate resource distribution characteristics, and further selecting the climate resource corresponding to the maximum distribution rate as an adaptive power supply energy;
the effective associated power generation indication acquisition process of the corresponding adapted power supply energy source of the target building in each season comprises the following steps:
extracting associated power generation indicators from weather information issued by a weather center corresponding to a design place to which a target building belongs based on a plurality of monitoring dates corresponding to seasons in each monitoring year in each month, and classifying the associated power generation indicators belonging to the same season to obtain a plurality of associated power generation indicator data corresponding to each season;
carrying out mean value calculation on a plurality of associated power generation indication data corresponding to each season to obtain average associated power generation indication data corresponding to each season, and carrying out variance calculation to obtain associated power generation indication variances corresponding to each season;
comparing the associated power generation indication variance corresponding to each season with a preset threshold, if the associated power generation indication variance corresponding to a certain season is smaller than or equal to the preset threshold, taking the average associated power generation indication corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season, otherwise, selecting the median associated power generation indication from a plurality of associated power generation indication data corresponding to the season as the effective associated power generation indication of the adapted power supply energy corresponding to the season;
the analysis target building is operated as follows in the normal duty ratio coefficient of the illumination power consumption in each season:
counting the number of people needing to be lived in the target building, and identifying the corresponding living type of the target building as the appointed living type;
selecting a plurality of residences with the same residence type from a design place to which the target building belongs based on the specified residence type, and taking the residence as a reference residence, thereby acquiring the lighting power consumption and the total power consumption of each reference residence in each season in each monitoring year, and further calculating the lighting power consumption duty ratio coefficient of each reference residence in each season;
arranging the illumination power consumption ratio coefficients corresponding to each reference residence in the same season according to the sequence from small to large, sequentially taking the illumination power consumption ratio coefficients as main illumination power consumption ratio coefficients according to the arrangement result, further carrying out variance calculation on the other illumination power consumption ratio coefficients and the main illumination power consumption ratio coefficients to obtain variance values of the main illumination power consumption ratio coefficients by taking the illumination power consumption ratio coefficients in each season, and taking the illumination power consumption ratio coefficient corresponding to the minimum variance value in each season as the illumination power consumption normal ratio coefficient of the target building in each season.
2. The new energy building integrated energy-saving design analysis method as set forth in claim 1, wherein: the season distribution month is a continuous month corresponding to each season, wherein the season distribution month corresponding to the design place of the target building is determined, and the following process is referred to:
comparing the design place to which the target building belongs with the distribution areas corresponding to various climate types in the map, comparing the climate types corresponding to the design place to which the target building belongs from the distribution areas, and matching the seasonal distribution months corresponding to the various climate types in the cloud reference library, thereby obtaining the seasonal distribution months corresponding to the design place to which the target building belongs.
3. The new energy building integrated energy-saving design analysis method as set forth in claim 2, wherein: the specific determination mode of the effective sunlight period corresponding to each season is as follows:
(1) Selecting a plurality of historical years as a plurality of monitoring years, thereby obtaining continuous months corresponding to each monitoring year in each season based on the season distribution month corresponding to the design place to which the target building belongs, and obtaining a plurality of monitoring dates corresponding to each month in each season in each monitoring year by selecting a plurality of monitoring dates in each month;
(2) Extracting sunrise time and sunset time from weather information issued by a weather center corresponding to a design place to which a target building belongs based on a plurality of monitoring dates corresponding to each month in each monitoring year, classifying the sunrise time belonging to the same season, classifying the sunset time belonging to the same season, and obtaining a plurality of sunrise time samples and a plurality of sunset time samples corresponding to each season;
(3) Combining a plurality of sunrise time samples corresponding to the same season with the set interval duration to form a containing section corresponding to each sunrise time sample;
(4) Numbering a plurality of sunrise time samples corresponding to the same season according to the sequence of the monitoring year and the monitoring month, sequentially selecting the sunrise time samples as main sunrise time samples according to the numbering sequence, and comparing the accommodating interval corresponding to the main sunrise time samples with other sunrise time samples, thereby counting the number of other sunrise time samples falling into the corresponding accommodating interval in the main sunrise time samples with each sunrise time sample as the main sunrise time sample, and taking the number as the stored value of each sunrise time sample corresponding to each season;
(5) Selecting a sunrise time sample corresponding to the maximum stored value from the stored value quantities of the sunrise time samples corresponding to each season as a deviation sunrise time corresponding to each season;
(6) Identifying the deviation sunset time corresponding to each season according to the same principle as the steps (3) - (5);
(7) The deviated sunrise time and the deviated sunset time corresponding to each season form an effective sunshine period corresponding to each season.
4. The new energy building integrated energy-saving design analysis method as set forth in claim 1, wherein: the method for counting the total illumination duration of the target building in each season comprises the following steps:
acquiring the habit duration of a residential user corresponding to a target building, and embedding the habit duration into an illumination model of the target building in each season to obtain the illumination duration of the target building in each season;
acquiring a single-day illumination time length corresponding to each season according to the illumination time period of the target building in each season;
and calculating the total number of days corresponding to each season based on the continuous month corresponding to each season and the number of days corresponding to each month, and calculating the total illumination duration of the target building in each season by combining the single-day illumination duration corresponding to each season.
5. The new energy building integrated energy-saving design analysis method as set forth in claim 1, wherein: the illumination power consumption of the statistical target building in each season is shown in the following process:
acquiring the electricity consumption of the unit illumination time length of illumination equipment corresponding to each layout space based on the illumination equipment model corresponding to each layout space;
using expressionsAnd calculating the lighting power consumption of the target building in each season.
6. The new energy building integrated energy-saving design analysis method as set forth in claim 4, wherein: the power generation amount prediction process of the adaptive power supply energy source in each season is as follows:
obtaining model specifications of the adaptive power supply energy source of the design place of the target building, and accordingly obtaining corresponding single-day power generation capacity of the adaptive power supply energy source under the reference associated power generation indication;
using predictive formulasObtaining the power generation capacity of the adaptive power supply energy source in each season>In the formula->Indicated as season number>Wherein->Respectively expressed as spring, summer, autumn and winter, < >>Effective associated power generation indication representing the corresponding adaptation of the power supply energy source in the ith season for the design place of the target building,/->Expressed as reference associated power generation indication +.>Representing the corresponding single-day power generation amount of the adapted power supply energy source under the reference associated power generation instruction, +.>Expressed as total days corresponding to the ith season.
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