CN113991667A - Building load fine perception regulation and control method and system - Google Patents
Building load fine perception regulation and control method and system Download PDFInfo
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- 230000008447 perception Effects 0.000 title claims abstract description 29
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- 230000033228 biological regulation Effects 0.000 title claims abstract description 13
- 238000005265 energy consumption Methods 0.000 claims description 22
- 238000012806 monitoring device Methods 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 claims description 10
- 230000017525 heat dissipation Effects 0.000 claims description 5
- 238000005286 illumination Methods 0.000 claims description 5
- 238000009434 installation Methods 0.000 claims description 5
- 230000005855 radiation Effects 0.000 claims description 5
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- 238000004364 calculation method Methods 0.000 description 3
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- 238000004088 simulation Methods 0.000 description 2
- 239000000498 cooling water Substances 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 238000005057 refrigeration Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention relates to a building load fine perception regulation and control method and a system, which are used for collecting influence factors of building fine perception loads and actual values of the building fine perception loads in different areas; the fine perception load is a sustained load amount; calculating to obtain predicted values of the fine perception loads of different areas according to the fine perception load influence factors, and calculating a difference value between the predicted values and actual values of the fine perception loads of the corresponding areas; adjusting the fine perception load supply according to the difference, and reducing the load supply of the corresponding area if the difference is greater than 0; if the difference is less than 0, the load supply of the corresponding zone is increased. And finely sensing the adjustable load of each device in the building according to the number of personnel and the attribute of the device to obtain the building load adjustment quantity. The invention enables the system to run in the best state, effectively improves the user experience degree, and solves the problems of rigid load supply, heat waste and serious inter-area imbalance of the existing building.
Description
Technical Field
The invention relates to the technical field of building load perception and regulation, in particular to a building load fine perception regulation method and device.
Background
Along with the development of economy, people have higher and higher requirements on building environment, the building energy consumption is gradually increased along with the development of economy, the fine sensing of the building load is an important component part for controlling the building energy consumption, and more factors influencing the fine sensing of the building load are more, such as meteorological conditions, building envelope characteristics, building internal equipment characteristics and the like.
With the development and application of the internet and big data technology, the building load fine perception and the regulation and control method thereof are rapidly developed. The load fine perception is mainly applied to capacity configuration analysis of energy supply equipment of a newly built building, because the load capacity of the existing building is basically determined, the design load capacity of the general building is far greater than the actual load, and redundancy is reserved, so the load fine perception is less applied to the existing building.
At present, the load fine perception of the existing building basically adopts a rigid supply stage, the supply is the most original supply mode, the quantity of loads transmitted to each terminal is basically fixed at the beginning of design, and the phenomena of load waste and imbalance among areas are serious. Moreover, different load perceptions of the user side are constantly changing, if the user perceives corresponding changes to adjust the load, on one hand, the user cannot quickly reach the preset requirement, the comfort level of the user is poor, and on the other hand, the fine perception of the load cannot be timely adjusted, so that heat is wasted, and energy loss is increased.
Therefore, with the dynamic change of the influencing factors of the fine sensing of the load, the dynamic adjustment of the fine sensing of the load is particularly important.
Disclosure of Invention
The invention aims to provide a building load fine sensing and regulating method, which solves the problems of rigid load supply, heat waste and serious inter-region imbalance of the existing building.
Specifically, the invention provides a building load fine perception regulation and control method, which considers user end demand factors, environmental factors and building structure factors, and dynamically adjusts output through real-time change, so that rigid supply of loads is converted into flexible and intelligent supply, and system operation reaches an optimal state, wherein the method comprises the following steps:
s1: collecting the fine perception influence factors of the load in the building and the actual values of the load in different areas in the building; the load is a maintenance load amount;
s2: calculating to obtain predicted values of loads of different areas according to the load influence factors, and calculating a difference value between the predicted value and an actual value of the load of the corresponding area;
s3: adjusting the load supply according to the difference;
s4: according to different requirements of different rooms of an actual building, the opening and closing degree of the air outlet is adjusted according to the time-by-time indoor rate and personnel density information of each room, the air output is adjusted, and the problem of uneven local energy consumption distribution is solved.
Preferably, the load influencing factors include: weather information, maintenance structure information of the building, equipment parameter information in the building and energy utilization information of personnel in the building.
Preferably, the weather information includes: temperature and humidity, solar radiation intensity and wind speed and direction.
Preferably, the maintenance structure information of the building includes: build factor, window-to-wall ratio, and heat transfer coefficient.
Preferably, the in-building device parameter information includes: the installation power of illumination or other heat dissipation equipment, indoor humiture and new trend setting.
Preferably, the energy use information of the personnel in the building comprises: time-by-time occupancy and density of people.
Preferably, the actual value of the load is obtained by collecting electric energy of an electric meter corresponding to the air conditioner.
Preferably, the step S3 adjusts the load supply according to the difference, specifically including:
if the difference is greater than 0, reducing the load supply of the corresponding area;
when the difference value is equal to 0, controlling the output of the supply device to be unchanged;
if the difference is less than 0, the load supply of the corresponding zone is increased.
The invention also provides a building load fine perception regulation and control system, which comprises: the system comprises a processor, a signal acquisition device, an energy consumption monitoring device and a load adjusting device; the signal acquisition device, the energy consumption monitoring device and the load adjusting device are respectively connected with the processor;
the signal acquisition device acquires load influence factors in the building;
the energy consumption monitoring device acquires actual values of loads in different areas in a building; the load is the load amount for maintaining the temperature;
the processor calculates load predicted values of different areas according to the load influence factors, and calculates a difference value between the predicted value and an actual value of the load of the corresponding area; and the processor controls the load adjusting device to adjust the load supply according to the difference value.
According to the method, load influence factors in the building are collected, load predicted values of different areas are obtained through calculation, wherein the load is the load amount which maintains fine perception, then the load actual value is collected, the amount supply is adjusted according to the difference between the predicted value and the actual value, if the difference is larger than 0, the amount supply is reduced, and if the difference is smaller than 0, the amount supply is increased.
By the method, user end demand factors, environmental factors, building structure factors and the like are fully considered, and the output is dynamically adjusted through real-time change, so that the rigid supply of the load is converted into flexible and intelligent supply, the system operation reaches the optimal state, the user experience degree is effectively improved, and the energy consumption is reduced.
Drawings
FIG. 1 is a schematic diagram of a building load fine perception regulation system of the present invention.
FIG. 2 is a schematic diagram of the sensing load regulation control in the building load fine sensing regulation and control system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.
In the embodiment, an adaptive control system for fine perception of building load is provided, and as shown in fig. 1, the system includes a signal acquisition device, an energy consumption monitoring device, a load adjustment device, and a processor. The present embodiment will explain the technical solution of the present invention in detail by taking the control and adjustment of the air conditioning load as an example. As another embodiment, a method of controlling an air conditioning cooling load and an industrial steam heating load may be adopted.
The signal acquisition device acquires the influence factors of the building load and sends the influence factors to the processor through the signal transmission device.
The signal acquisition device includes: the system comprises an environment parameter acquisition device, a building parameter acquisition device, an equipment parameter acquisition device and an energy consumption human number acquisition device. The environment parameter acquisition device acquires meteorological information of the position of the building, such as temperature and humidity, solar radiation intensity, wind speed and direction and the like. The building parameter acquisition device acquires the building envelope information of a building, such as the form factor, the window-wall ratio, the heat transfer coefficient and the like. The equipment parameter acquisition device acquires equipment operation parameters in the building, such as the installation power of heat dissipation equipment for illumination and the like, indoor temperature and humidity and fresh air setting. The energy consumption information of personnel in the building, such as the hourly room rate, the personnel density and the like, is collected by the energy personnel collecting device. The building load is composed of loads generated by environmental parameters, loads generated by building parameters, loads generated by equipment parameters and loads generated by human beings.
And the processor calculates the acquired building load influence factors according to preset simulation analysis software to obtain a building load predicted value. In the embodiment, influence factors influencing the building load are analyzed by building Energy consumption simulation analysis software DesT, DOE-2, Energy-plus or design builder and the like in the prior art, and the time-by-time predicted value of the building load is calculated. As other embodiments, other analysis algorithms may be employed.
The energy consumption monitoring device collects the actual value of the building load and sends the actual value to the processor through the signal transmission device. In this embodiment, the energy consumption monitoring device detects the electric meters arranged in different areas in the building, and mainly includes an intelligent electric meter arranged in the central air conditioner, and acquires a corresponding load actual value by collecting a real-time power load of the central air conditioner, where the power load of the central air conditioner is multiplied by an energy consumption ratio (refrigeration/heating COP) of the air conditioner, which is the load actual value.
As another embodiment, in this embodiment, the electric energy consumed by the air conditioner to reach the predetermined temperature may also be obtained by collecting the electric energy of the total electric energy and the electric energy of other electric devices, such as lighting, a computer, etc., from other electric meters, and then obtaining the actual load value through corresponding calculation.
The processor calculates the error between the predicted value and the actual value of the load as a trigger parameter of the load adjusting device. In this embodiment, the load adjusting apparatus includes a plurality of air conditioning units and a central controller that controls the air conditioning units, and the central controller is connected to the processor and controls supply of the load using the trigger parameter. When the difference is greater than 0, the load supply output is decreased; when the difference value is equal to 0, controlling the output of the supply device to be unchanged; when the difference is less than 0, the output of the energy supply device is increased.
And determining the adjustable and controllable load of each device according to the number of indoor personnel. Specifically, the adjustable control quantity of the equipment load is equal to the current load of the equipment minus the rated per-capita load multiplied by the number of people.
And weighting the adjustable control quantity of each device to obtain the comprehensive adjustment and control quantity of the building load.
In this embodiment, because the demand of different rooms of actual building is different, through the air conditioner air output of control each room to the adjustment volume supplies, and according to information such as personnel in each room are in the room rate, personnel density by time, adjusts the air outlet opening and closing degree, adjusts the air output, solves local energy consumption and distributes the uneven problem. In the present embodiment, as shown in fig. 2, the supply of the output control amount of the central air conditioner is controlled, for example, the opening and closing degree of the air conditioner branch and the water collector is adjusted by the air conditioner main unit; increasing or decreasing the cooling water amount circulation in a refrigerating pump and a cooling pump; controlling the wind speed of the cooling fan, etc.
As an improvement to the foregoing embodiment, the load adaptive adjustment system in this embodiment further includes a signal transmission device connecting the processor with each of the acquisition devices, the energy consumption monitoring device, and the adjustment device, as shown in fig. 1, the processor is connected with the signal acquisition device through a first signal transmission device, connected with the energy consumption monitoring device through a second signal transmission device, and connected with the load adjustment device through a third signal transmission device.
The embodiment provides a building fine perception load self-adaptive control method, which specifically comprises the following steps:
s1: acquiring sensing influence factors of loads in a building and actual values of loads in different areas in the building; the load is the load amount for maintaining the temperature;
the load perception influencing factors comprise: weather information, maintenance structure information of the building, equipment parameter information in the building and energy utilization information of personnel in the building.
The weather information includes: temperature and humidity, solar radiation intensity and wind speed and direction.
The maintenance structure information of the building includes: build factor, window-to-wall ratio, and heat transfer coefficient.
The in-building device parameter information includes: the installation power of illumination or other heat dissipation equipment, indoor humiture and new trend setting.
The energy information of the personnel in the building comprises: time-by-time occupancy and density of people.
The actual value of the load is obtained by collecting the electric energy of the electric meter corresponding to the air conditioner, the electric energy of each electric device, such as a lighting device, a computer and the like, can be collected by collecting the electric energy of the electric meter and other electric meters, the electric energy consumed by the air conditioner to reach the preset temperature is obtained by subtracting the electric energy consumed by other electric devices from the total electric energy, and then the actual value of the load is obtained by corresponding calculation.
S2: calculating to obtain predicted values of loads of different areas according to the load influence factors, and calculating a difference value between the predicted value and an actual value of the load of the corresponding area;
s3, adjusting load supply according to the difference, specifically comprising:
if the difference is greater than 0, reducing the load supply of the corresponding area;
when the difference value is equal to 0, controlling the output of the supply device to be unchanged;
if the difference is less than 0, the load supply of the corresponding zone is increased.
S4: according to different requirements of different rooms of an actual building, the opening and closing degree of the air outlet is adjusted according to the time-by-time indoor rate and personnel density information of each room, the air output is adjusted, and the problem of uneven local energy consumption distribution is solved.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (17)
1. A building load fine perception regulation and control method is characterized in that user end demand factors, environmental factors and building structure factors are considered, output is dynamically adjusted through real-time change, rigid supply of loads is converted into flexible and intelligent supply, and system operation is enabled to reach the optimal state, and the method comprises the following steps:
s1: collecting the fine perception influence factors of the load in the building and the actual values of the load in different areas in the building; the load is a maintenance load amount;
s2: calculating to obtain predicted values of loads of different areas according to the load influence factors, and calculating a difference value between the predicted value and an actual value of the load of the corresponding area;
s3: adjusting the load supply according to the difference;
s4: according to different requirements of different rooms of an actual building, the opening and closing degree of the air outlet is adjusted according to the time-by-time indoor rate and personnel density information of each room, the air output is adjusted, and the problem of uneven local energy consumption distribution is solved.
2. The method of claim 1, wherein the load influencing factors comprise: weather information, maintenance structure information of the building, equipment parameter information in the building and energy utilization information of personnel in the building.
3. The method of claim 2, wherein the weather information comprises: temperature and humidity, solar radiation intensity and wind speed and direction.
4. The method of claim 2, wherein the maintenance configuration information of the building comprises: build factor, window-to-wall ratio, and heat transfer coefficient.
5. The method of claim 2, wherein the in-building device parameter information comprises: the installation power of illumination or other heat dissipation equipment, indoor humiture and new trend setting.
6. The method of claim 2, wherein the energy usage information for the personnel within the building comprises: time-by-time occupancy and density of people.
7. The method according to claim 1, characterized in that the actual value of the load is obtained by collecting the electric energy of the electric meter corresponding to the air conditioner.
8. The method according to claim 1, wherein the step S3 of adjusting the load supply according to the difference comprises:
if the difference is greater than 0, reducing the load supply of the corresponding area;
when the difference value is equal to 0, controlling the output of the supply device to be unchanged;
if the difference is less than 0, the load supply of the corresponding zone is increased.
9. A building load fine perception regulation and control system is characterized by comprising: the system comprises a processor, a signal acquisition device, an energy consumption monitoring device and a load adjusting device; the signal acquisition device, the energy consumption monitoring device and the load adjusting device are respectively connected with the processor;
the signal acquisition device acquires load influence factors in the building;
the energy consumption monitoring device acquires actual values of loads in different areas in a building; the load is the load amount for maintaining the temperature;
the processor calculates load predicted values of different areas according to the load influence factors, and calculates a difference value between the predicted value and an actual value of the load of the corresponding area; and the processor controls the load adjusting device to adjust the load supply according to the difference value.
10. The system of claim 9, wherein the load influencing factors comprise: weather information, maintenance structure information of the building, equipment parameter information in the building and energy utilization information of personnel in the building.
11. The system of claim 10, wherein the weather information comprises: temperature and humidity, solar radiation intensity and wind speed and direction.
12. The system of claim 10, wherein the building maintenance configuration information comprises: build factor, window-to-wall ratio, and heat transfer coefficient.
13. The system of claim 10, wherein the in-building device parameter information comprises: the installation power of illumination or other heat dissipation equipment, indoor humiture and new trend setting.
14. The system of claim 10, wherein the energy usage information for the personnel in the building comprises: time-by-time occupancy and density of people.
15. The system of claim 9, wherein the processor determines the adjustable amount of each equipment load based on the number of people in the room.
16. The system of claim 15, wherein the processor weights the adjustable control parameters of each device to obtain a composite adjusted control parameter of the building load.
17. The system of claim 16, wherein the processor adjusts the load feed based on the difference, in particular comprising:
if the difference is greater than 0, reducing the load supply of the corresponding area;
when the difference value is equal to 0, controlling the output of the supply device to be unchanged;
if the difference is less than 0, the load supply of the corresponding zone is increased.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117272121A (en) * | 2023-11-21 | 2023-12-22 | 江苏米特物联网科技有限公司 | Hotel load influence factor quantitative analysis method based on Deep SHAP |
| CN117424231A (en) * | 2023-12-14 | 2024-01-19 | 深圳市华星数字有限公司 | Energy-saving power distribution control system and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111197846A (en) * | 2019-12-31 | 2020-05-26 | 国网河北省电力有限公司雄安新区供电公司 | Self-adaptive adjusting method and system for cold and heat load in building |
| CN112283890A (en) * | 2020-10-26 | 2021-01-29 | 济中节能技术（苏州）有限公司 | Cold and heat quantity control method and device suitable for building heating and ventilation equipment monitoring system |
-
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- 2021-11-22 CN CN202111387795.2A patent/CN113991667A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111197846A (en) * | 2019-12-31 | 2020-05-26 | 国网河北省电力有限公司雄安新区供电公司 | Self-adaptive adjusting method and system for cold and heat load in building |
| CN112283890A (en) * | 2020-10-26 | 2021-01-29 | 济中节能技术（苏州）有限公司 | Cold and heat quantity control method and device suitable for building heating and ventilation equipment monitoring system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117272121A (en) * | 2023-11-21 | 2023-12-22 | 江苏米特物联网科技有限公司 | Hotel load influence factor quantitative analysis method based on Deep SHAP |
| CN117272121B (en) * | 2023-11-21 | 2024-03-12 | 江苏米特物联网科技有限公司 | Hotel load influence factor quantitative analysis method based on Deep SHAP |
| CN117424231A (en) * | 2023-12-14 | 2024-01-19 | 深圳市华星数字有限公司 | Energy-saving power distribution control system and method |
| CN117424231B (en) * | 2023-12-14 | 2024-03-15 | 深圳市华星数字有限公司 | Energy-saving power distribution control system and method |
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