CN110701732A - Energy consumption data analysis method and system and energy saving method and system of central air conditioner - Google Patents
Energy consumption data analysis method and system and energy saving method and system of central air conditioner Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/02—Ducting arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/60—Energy consumption
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Abstract
The invention discloses an energy consumption data analysis method and an energy consumption data analysis system, which fit energy consumption parameters into a plurality of state functions to determine the energy consumption of a prediction period. The energy consumption analysis method and the energy consumption analysis system respond to different data demands to determine the energy consumption data in a specific environment, and improve the accuracy of energy consumption analysis. The invention also discloses an energy-saving method and an energy-saving system of the central air conditioner, which predict the energy consumption in different time periods according to the user requirements and determine the most energy-saving starting time.
Description
Technical Field
The invention belongs to the field of energy consumption data analysis, and particularly relates to an energy consumption data analysis method and system. In addition, the invention also relates to an energy-saving method and an energy-saving system based on the energy consumption data analysis method.
Background
The prior art shows that energy consumption data analysis is beneficial to energy-saving control.
The patent document No. CN201310361119.7 discloses an energy consumption regulation and control system based on data analysis, in which a data storage module is electrically connected to an adjustment interaction module to receive and store the regulation and control data and real-time regulation and control information through the adjustment interaction module. The data statistical analysis module is electrically connected with the adjustment interaction module so as to read and statistically analyze the regulation data and the real-time regulation information in the data storage module through the adjustment interaction module and determine the optimal regulation scheme.
Patent document No. CN 201410614345.6 discloses an analysis method for operation energy consumption of a central air conditioning system using a water-cooled chiller as a cold source. The energy consumption analysis factors are the power consumption ei of unit fluid flow and the transported fluid amount pi of each main energy consumption and power equipment. The analysis method gives a calculation formula of energy consumption, and can be used as reference of the application.
Energy efficiency analysis of public building air conditioning systems (university of mining china, thesis, energy of massecuite) takes a public building air conditioning system as a research object, establishes an improved air conditioning system design integral energy efficiency CEER model, and analyzes integral energy efficiency levels of different air conditioning system design schemes.
Mitsubishi heavy industry thermal system corporation discloses an electric power consumption prediction system, refer to EP2251614B 1. Which predicts electric power consumption during respective prediction target times in the prediction target period and after the current time by using time series analysis based on actual operation data extracted by the data extraction unit. The scheme improves the prediction accuracy by selecting a prediction time period, and the technical scheme is incorporated into the application by reference.
Disclosure of Invention
The invention provides an energy consumption data analysis method and an energy consumption data analysis system, which fit energy consumption parameters into a plurality of state functions to determine the energy consumption of a prediction period. The technical scheme of the invention is realized as follows:
an energy consumption data analysis method is characterized in that,
obtaining the electric energy consumption E and the temperature T outside the predetermined area at any time pointoCentral air conditioner out in predetermined areaTuyere temperature TcAnd the temperature T of the air inlet of the central air conditioner in a preset areaf，
Storing the energy consumption E including the time characteristic, the temperature T outside the predetermined areaoTemperature T of air outletcAnd air inlet temperature TfThe time characteristics comprise year, month and day characteristics,
extracting state data of N historical time periods which are different from the year of the prediction time period but have the same other time parameters, dividing the historical time periods into N independent time sequences t,
relating the power consumption E of the same time series T to the temperature T outside the predetermined zoneoTemperature T of air outletcAir inlet temperature Tf，
Electric energy consumption E associated with a corresponding time series T of different years, temperature T outside a predetermined areaoTemperature T of air outletcAir inlet temperature Tf，
The average energy consumption for the predicted time period of N +1 years is provided.
In the energy consumption data analysis method, according to the corresponding age correction coefficients in N historical time periods, an age correction regression line is determined, and an age correction coefficient X is determinedN+1，YN+1。
In the energy consumption data analysis method of the present invention, the history period is divided in units of half an hour.
An energy consumption data analysis system is characterized by comprising,
a measuring unit for obtaining the electric energy consumption E at any time point and the temperature T outside the predetermined areaoTemperature T of central air-conditioning air outlet in predetermined areacAnd the temperature T of the air inlet of the central air conditioner in a preset areaf，
A database for storing the electric energy consumption E including a time characteristic, the temperature T outside the zoneoTemperature T of air outletcAnd air inlet temperature TfThe time characteristics comprise year, month and day characteristics,
a data extraction unit for extracting state data of N history time periods different from the year of the prediction time period but having the same other time parameters, dividing the history time periods into N independent time series t,
a data analysis unit for correlating the power consumption E and the temperature T outside the predetermined region of the time series ToTemperature T of air outletcAir inlet temperature Tf，
Electric energy consumption E associated with a corresponding time series T of different years, temperature T outside a predetermined areaoTemperature T of air outletcAir inlet temperature Tf，
And the data prediction unit is used for providing the average energy consumption of the prediction time period of the N +1 year.
In the energy consumption data analysis system, the measuring unit comprises a power meter, an outdoor temperature sensor, a first indoor temperature sensor and a second indoor temperature sensor, the power meter is installed on the central air-conditioning driver, the outdoor temperature sensor is installed at a position far away from a preset area, the first indoor temperature sensor is installed within 10cm of the air inlet, and the second indoor temperature sensor is installed within 10cm of the air outlet.
A central air conditioner for energy saving of a predetermined area, characterized in that:
a plurality of work time requirements are proposed, the work time requirements including a base time period and a preference time period,
reading a plurality of basic time periods and preference time periods, determining a plurality of prediction time periods, wherein the prediction time periods comprise all the basic time periods and any preference time period, determining average energy consumption of all the prediction time periods, selecting the prediction time period with optimal energy consumption as an expected work time period,
and controlling the central air conditioner to work in the expected working time period.
In the energy-saving method, the minimum starting time is determined by accumulating the basic time period, and then different preference time periods are accumulated to obtain the predicted time period.
An economizer system of central air conditioning for the energy-conservation in predetermined area, this predetermined area divides into a plurality of independent subregions, and central air conditioning has multiunit tuber pipe, and the installation of tuber pipe at least part is in the subregion, its characterized in that, economizer system includes:
a plurality of clients for proposing a plurality of working time demands, the working time demands including a base time period and a preference time period, the clients corresponding to the sub-areas,
a server for reading a plurality of basic time periods and preference time periods, determining a plurality of predicted time periods, the predicted time periods should include all the basic time periods and any preference time period, the server has an energy consumption data analysis system for determining average energy consumption of all the predicted time periods, selecting the predicted time period with optimal energy consumption as an expected operation time period,
and the air conditioner controller is used for controlling the central air conditioner to work in the expected working time period.
The energy consumption analysis method and the energy consumption analysis system respond to different data demands to determine the energy consumption data in a specific environment, and improve the accuracy of energy consumption analysis. The energy-saving method and the system predict the energy consumption in different time periods according to the user requirements and determine the most energy-saving starting time.
Drawings
FIG. 1 is a schematic diagram of a central air conditioning economizer system of the present invention;
FIG. 2 is a schematic structural view of a predetermined area defined as a multi-space building;
FIG. 3 is a schematic view of the central air conditioner of FIG. 2;
FIG. 4 is a profile of the economizer system of the present application;
FIG. 5 is E, T of the same time sequence to、Tc、TfA schematic of a regression line;
FIG. 6 is a schematic diagram of regression lines of the same time series t for different years;
FIG. 7 is a diagram of an age correction factor X regression line;
FIG. 8 is a flow chart of the energy saving method of the central air conditioner of the present invention;
FIG. 9 is a sequence of client uptime requirements of the present invention;
FIG. 10 is a graphical representation of the total accumulation of a base time period;
FIG. 11 is a schematic illustration of selective accumulation of preference time periods;
FIG. 12 is E, T storing t in different time serieso、Tc、TfThe database structure diagram of (1);
FIG. 13 is E, T relating the database to the same time series to、Tc、TfA schematic diagram of (a);
FIG. 14 is E, T for the database correlating corresponding time series t for different yearso、Tc、TfSchematic representation of (a).
Description of some reference numerals: the system comprises a hall 11, an office area 12, a rest area 13, a central air conditioner 20, an air duct 21, an energy-saving system 30, a server 31, an air conditioner controller 32, a client 33, a first indoor temperature sensor 41, a second indoor temperature sensor 42, an air inlet 43 and an air outlet 44.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
Referring to fig. 1 to 4, the energy saving system of a central air conditioner according to the present invention is for saving energy in a predetermined area divided into a plurality of independent sub-areas, and the central air conditioner 20 has a plurality of sets of air ducts 21 at least partially installed in the sub-areas. The predetermined area may be a multi-space building, and the air conditioner response demand time is different for different spaces. For example, hall 11 requires a full-time air conditioning response, office area 12 requires an on-time air conditioning response, and rest area 13 requires a midday air conditioning response. In the prior art, the response time of the air conditioners in different areas depends on independent switch control, and the central air conditioner 20 is in a continuous operation state. The central air conditioner can analyze the existing energy consumption to determine the most energy-saving response time, and the energy conservation of the central air conditioning equipment is realized. The economizer system 30 is mainly composed of a plurality of clients 33, a server 31, and an air conditioning controller 32. The clients 33 correspond to sub-areas of a multi-space building, the clients 33 being used to address a plurality of work time requirements. The work time requirement is preferably a work time requirement within a single day, including a base time period and a preference time period. The server is used for reading the plurality of basic time periods and the preference time period and determining a plurality of predicted time periods. The prediction period should include all basic periods and any preference period. The server 31 has an energy consumption data analysis system and selects a predicted time period of optimum energy consumption as the expected operating time period. The air conditioner controller 32 is used to control the central air conditioner to operate at a desired operation period. It should be noted that the working time period in the past year should satisfy all the user requirements, i.e. work according to the longest working time period. The system is used for controlling energy consumption in N +1 years.
The energy consumption data analysis system is used for determining the average energy consumption of all the prediction time periods and comprises a measuring unit, a database and a data extraction unit which are electrically connected with each other. The measuring unit is used for obtaining the electric energy consumption E at any time point and the temperature T outside the preset areaoTemperature T of central air-conditioning air outlet in predetermined areacAnd the temperature T of the air inlet of the central air conditioner in a preset areaf. The temperature outside the predetermined area may also be the local air temperature provided by the network. Preferably, referring to fig. 3, the measuring unit includes a power meter installed at the central air conditioner driver, an outdoor temperature sensor installed at a position distant from a predetermined area, a first indoor temperature sensor 41 installed within 10cm of the intake port 43, and a second indoor temperature sensor 42 installed within 10cm of the exhaust port 44. The database is used for storing the electric energy consumption E containing time characteristics and the temperature T outside the areaoTemperature T of air outletcAnd air inlet temperature TfThe time characteristics comprise year, month and day characteristics. The data extraction unit is used for extracting state data of N historical time periods which are different from the year of the prediction time period but have the same other time parameters, and dividing the historical time periods into N independent time sequences t. E, T relating data analysis units to the same time series to、Tc、TfThe energy efficiency coefficient is defined as S, and the basic power consumption is defined as C. And the data analysis unit associates E, T of corresponding time series t of different yearso、Tc、TfThe age correction factor is defined as X, Y. And the data prediction unit is used for providing the average energy consumption of the prediction time period of the N +1 year.
Referring to fig. 5 and 6, the present invention relates to the same time series t in a linear regression manner, and points on the axis of the number are defined as state data of different time points in the time series t. And i is an age coefficient. The corresponding time series t of different ages show multiple regression lines on the same numerical axis that approximate the slope scale change. Referring to fig. 7, the age correction factor X is defined as the equipment aging associated with the air intake, associated as a linear function of the age parameter i. Similarly, the age correction factor Y is defined as the equipment aging associated with the outlet. X1=Y1=1，Xi=1+Ai，YiN =1+ Bi, i =1, 2, 3. Wherein the content of the first and second substances,
in the formula (I), the compound is shown in the specification,、is the linear regression power consumption of the air outlet and the air inlet theoretically
=
. Due to the difference in the regression line,
and
there is a calculation error.
、Is the slope of the function and is reflected by the power consumption ratio.
Is the function intercept, which is reflected in the minimum power consumption for starting. n independent time series t give n regression lines.、
And the linear regression power consumption of the air outlet and the air inlet in the ith year. XiAnd YiIs the age correction factor of the ith year. A. And B is defined as the aging coefficient of the central air conditioner and is obtained through linear regression.
And
the respective year correction coefficients are predicted years. The final energy consumption E is the average energy consumption of the predicted time period. If the time division is in units of 30 minutes, E is the energy consumption in the basic unit of 30 minutes.
The central air conditioner of the invention is used for saving energy in a preset area. Referring to FIG. 8, it is first proposedA plurality of work time requirements, the work time requirements including a base time period and a preference time period. And then reading a plurality of basic time periods and preference time periods, determining a plurality of predicted time periods, wherein the predicted time periods comprise all the basic time periods and any preference time period, then determining the average energy consumption of all the predicted time periods, selecting the predicted time period with the optimal energy consumption as an expected working time period, and controlling the central air conditioner to work in the expected working time period. Referring to fig. 9 to 11, there may be some overlap between the multiple working time requirements, and the minimum boot time is determined by accumulating the basic time period first, and then the predicted time period is obtained by accumulating different preference time periods. The greater the number of preference periods, the greater the number of prediction periods, and in general the number of combinations C of preference periods pp 2. Different clients can put forward different demands in different months and days, and the prediction time periods are different. By the energy-saving analysis method, the energy consumption in different time periods is predicted according to the user requirements, and the most energy-saving starting time is determined.
The energy consumption data analysis method is used for predicting the average energy consumption of all prediction time periods. Firstly, the electric energy consumption E and the temperature T outside a preset area at any time point are obtainedoTemperature T of central air-conditioning air outlet in predetermined areacAnd the temperature T of the air inlet of the central air conditioner in a preset areaf. The state data at any point in time is history data. Storing the energy consumption E including the time characteristic, the temperature T outside the zoneoTemperature T of air outletcAnd air inlet temperature Tf. The time characteristics include year, month and day characteristics. Referring to fig. 12, state data of N history time periods different from the year of the prediction time period but having the same time parameter is extracted, and the history time periods are divided into N independent time series t, and the state data constitute a stack structure. And i is an age coefficient. Referring to fig. 13, E, T relating to the same time series to、Tc、Tf. Referring to fig. 14, E, T relating corresponding time series t of different yearso、Tc、Tf. The average energy consumption for the predicted time period of N +1 years is obtained. Energy consumption analysis method response of the inventionEnergy consumption data under specific environment is determined according to different data dividing requirements, and the accuracy of energy consumption analysis is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. An energy consumption data analysis method is characterized in that,
obtaining the electric energy consumption E and the temperature T outside the predetermined area at any time pointoTemperature T of central air-conditioning air outlet in predetermined areacAnd the temperature T of the air inlet of the central air conditioner in a preset areaf，
Storing the energy consumption E including the time characteristic, the temperature T outside the predetermined areaoTemperature T of air outletcAnd air inlet temperature TfThe time characteristics comprise year, month and day characteristics,
extracting state data of N historical time periods which are different from the year of the prediction time period but have the same other time parameters, dividing the historical time periods into N independent time sequences t,
relating the power consumption E of the same time series T to the temperature T outside the predetermined zoneoTemperature T of air outletcAir inlet temperature Tf，
Electric energy consumption E associated with a corresponding time series T of different years, temperature T outside a predetermined areaoTemperature T of air outletcAir inlet temperature Tf，
The average energy consumption for the predicted time period of N +1 years is provided.
2. The method according to claim 1, wherein an age correction regression line is determined based on the corresponding age correction factor in the N historical time periods, and an age correction factor X is determinedN+1、YN+1。
3. The energy consumption data analysis method according to claim 1, characterized in that the historical time period is divided in units of half an hour.
4. An energy consumption data analysis system is characterized by comprising,
a measuring unit for obtaining the electric energy consumption E at any time point and the temperature T outside the predetermined areaoTemperature T of central air-conditioning air outlet in predetermined areacAnd the temperature T of the air inlet of the central air conditioner in a preset areaf，
A database for storing the electric energy consumption E including a time characteristic, the temperature T outside the zoneoTemperature T of air outletcAnd air inlet temperature TfThe time characteristics comprise year, month and day characteristics,
a data extraction unit for extracting state data of N history time periods different from the year of the prediction time period but having the same other time parameters, dividing the history time periods into N independent time series t,
a data analysis unit for correlating the power consumption E and the temperature T outside the predetermined region of the time series ToTemperature T of air outletcAir inlet temperature Tf，
Electric energy consumption E associated with a corresponding time series T of different years, temperature T outside a predetermined areaoTemperature T of air outletcAir inlet temperature Tf，
And the data prediction unit is used for providing the average energy consumption of the prediction time period of the N +1 year.
5. The energy consumption data analysis system of claim 4, wherein the measuring unit comprises a power meter, an outdoor temperature sensor, a first indoor temperature sensor, and a second indoor temperature sensor, the power meter is installed at the central air conditioner driver, the outdoor temperature sensor is installed at a position far away from the predetermined area, the first indoor temperature sensor is installed within 10cm of the air inlet, and the second indoor temperature sensor is installed within 10cm of the air outlet.
6. An energy saving method of a central air conditioner for saving energy of a predetermined area, characterized in that:
a plurality of work time requirements are proposed, the work time requirements including a base time period and a preference time period,
reading a plurality of basic time periods and preference time periods, determining a plurality of prediction time periods, wherein the prediction time periods comprise all the basic time periods and any preference time period, determining average energy consumption of all the prediction time periods, selecting the prediction time period with optimal energy consumption as an expected work time period,
and controlling the central air conditioner to work in the expected working time period.
7. The power saving method of claim 6, wherein the minimum boot time is determined by accumulating the basic time period, and the predicted time period is obtained by accumulating different preference time periods.
8. An economizer system of central air conditioning for the energy-conservation in predetermined area, this predetermined area divides into a plurality of independent subregions, and central air conditioning has multiunit tuber pipe, and the installation of tuber pipe at least part is in the subregion, its characterized in that, economizer system includes:
a plurality of clients for proposing a plurality of working time demands, the working time demands including a base time period and a preference time period, the clients corresponding to the sub-areas,
a server for reading a plurality of basic time periods and preference time periods, determining a plurality of predicted time periods, the predicted time periods should include all the basic time periods and any preference time period, the server has an energy consumption data analysis system for determining average energy consumption of all the predicted time periods, selecting the predicted time period with optimal energy consumption as an expected operation time period,
and the air conditioner controller is used for controlling the central air conditioner to work in the expected working time period.
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