Building energy-saving strategy optimization control method

Abstract

The solar power generation device is arranged outside the building, firstly, the solar power generation device is used for supplying power to the building, detection and testing are conducted by fully detecting the installation position and the installation inclination angle outside the building when the solar power generation device is installed, and the solar power generation device is installed with the highest power generation efficiency; the prediction system is arranged to predict the power generation amount of the solar power generation device and the power consumption of the building, a power supply strategy is preliminarily formulated according to a prediction result, and the building real-time power consumption detection device is arranged to detect the real-time power consumption of the building and compare the real-time power consumption with a prediction value, so that the power supply strategy can be adjusted at any time. And accurate adjustment of a power supply strategy is ensured through detection of each sensor on each power supply device.

Description

Technical Field

[0001] The invention relates to the field of building energy conservation, and specifically to a building energy conservation strategy optimization control method. Background Art

[0002] At present, both commercial buildings and domestic buildings are facing a large number of energy supply problems. General buildings need to provide electricity, heat, lighting, air circulation, and pure water circulation. The electricity supply of existing buildings mostly relies on the power grid, and the heat energy mostly relies on central air conditioning or coal. Both air circulation and water circulation are still supplied by electricity. At present, my country's building energy consumption is relatively high, and the waste of electricity and heat generated by coal or natural gas is relatively serious. The invention patent application with publication number CN112965419A discloses a building energy-saving control and management system based on energy efficiency optimization, which mentions the two current mainstream building energy-saving methods, namely, by monitoring the operating conditions of electromechanical equipment such as central air conditioning, lighting, elevators, etc. in the building, and achieving energy saving by improving the control accuracy of environmental parameters in the building and using frequency conversion technology to achieve building energy saving. The shortcomings of these two energy-saving technologies are also mentioned. The invention calculates the number of people entering and leaving the environment through a crowd counting module, thereby counting the number of people staying in the environment and calculating the heat emitted by the human body in the environment to determine The influence of human body heat on the ambient temperature is blocked and the air conditioner is controlled to reduce power through the management center server, that is, the traditional method of detecting and sensing various building parameters is abandoned and the energy mode of the entire building is adjusted by statistically analyzing the human body itself; and the utility model patent with the publication number CN202351670U discloses an integrated central control system for building energy-saving intelligent dynamic optimization; in addition to other energy supplies, a solar power generation system is also set up; a microcomputer network control system is adopted, which is composed of an upper-level centralized monitoring computer system and a plurality of lower-level equipment self-made intelligent control modules to realize regional and modular management; that is, a new energy power generation system is adopted for auxiliary power generation, and at the same time, the energy-saving system of the entire building is supplemented by a microgrid system; but the above-mentioned existing technologies still adopt a single building energy-saving means; and the auxiliary energy supplement, the influence of time on building energy consumption, the influence of the number of people on building energy consumption and the mutual coordination between multiple functional systems are not combined, which still causes waste of building energy consumption to a certain extent.

[0003] 1. Technical issues to be resolved

[0004] In order to solve the above technical problems, the present invention provides a building energy-saving strategy optimization control method (I) technical solution

[0005] A building energy-saving strategy optimization control method includes the following steps: initially setting a solar power generation device in a building, detecting various positions outside the building before setting the solar power generation device, selecting within a range of 1 km centered on the building, and giving priority to the top of the building for installation.

[0006] Furthermore, the installation site within 1 km of the building is inspected, and the solar panels are first installed for trial. Before the trial installation, the various positions of the installation site are marked with X0, X1, X2, X3...X n After marking, the marked locations are tested for sunlight exposure range during the time periods of 9-12 am and 12-3 pm, and the solar panels to be installed are laid out flat. After laying out, the locations to be installed that can illuminate more than 90% of the area of ​​the solar panels are marked.

[0007] Furthermore, the installation location marked with an X N , in each X N The solar panels are installed at the installation site, and the optimal angle test is performed on the installed solar panels during the time periods of 9-12 am and 12-3 pm. The maximum average power generation per unit time of the optimal installation angle of the solar panels at the construction site is set to Q max , then adjust the solar panel to be installed 15 degrees above and below the optimal angle to find the optimal tilt angle of the installation site, test the power generation per unit time of each tilt angle as Q0, when 0=<(Q max -Q0) / Q max When <0.2, the inclination angle within this range is set as the optimal installation angle for installing the solar panel.

[0008] Further, after the solar panels are installed, all installation points X are recorded. N and each mount point X N The average daily power generation in a month is Q1. A prediction system is set up to predict the daily power consumption of the building and the power generation of the solar panels. The average daily power consumption of the building is predicted to be P0, and the average daily power generation of the solar panels is Q2. When 0.9Q1=<Q2<=Q1 and Q2=P0 is satisfied, a strategy is initially formulated to use the solar power generation device to supply all the electricity for the building on that day.

[0009] Furthermore, an energy storage device is provided inside the building. When 0.9Q1=<Q2<=Q1 and Q2>P0 is satisfied, strategy 2 is initially formulated to turn on the energy storage device. While the solar power generation device supplies all the electricity of the building on that day, a portion of the solar power generation electricity is stored in the energy storage device.

[0010] Furthermore, when 0.9Q1=<Q2<=Q1 and Q2<P0 is satisfied, strategy three is initially formulated in which the energy storage device and the grid power supply system provide supplementary power to the building while the solar power generation device supplies all the electricity for the day to the building.

[0011] Furthermore, when Q2≤0.9Q1, strategy three is directly selected to supply power to the building.

[0012] Furthermore, a building power consumption detection device is provided, which performs real-time detection of the building's daily power consumption. When Strategy 1 and Strategy 2 are executed, the power consumption detection time is set to T0-T1, and the prediction system predicts that the power consumption change function within T0-T1 is f(p)dx, and the building power consumption data before and after detection within any △T time within T0-T1 are P1 and P2. When |P2-P1| / △T<=ξ is satisfied, and the detected P value satisfies When the power supply strategy is not adjusted during the power supply time of the building, it is executed according to the initially formulated strategy 1 and strategy 2, where P J is the building electricity consumption value detected by the detection system, and P Y It is the building electricity consumption value in the T0-T1 time period predicted by the prediction system. ξ is also the value predicted by the prediction device. It changes according to the time of electricity consumption. The ξ values ​​are different during the stable electricity consumption period and the peak electricity consumption period.

[0013] Furthermore, when |P2-P1| / △T>ξ, and the detected P value satisfies When supplying power to buildings, it is necessary to adjust the power supply strategy and add the power grid system and energy storage system to supply power based on the initially formulated strategies 1 and 2.

[0014] Furthermore, after setting the total power consumption of the building in strategy 1 and strategy 2, P0, according to the power consumption of the central air conditioner for adjusting the temperature, the power consumption for adjusting the humidity, and the power consumption for adjusting the lighting in the building over a period of time; the total power is allocated on the basis of strategy 1 and strategy 2, and the power consumption of the central air conditioner for temperature adjustment is set to P0. k , adjust the lighting power consumption to P Z , the power consumption for humidity adjustment is P S ; then ensure P k +P Z +P S <=P0, the power allocation method is set as the allocation strategy.

[0015] Furthermore, temperature sensors, humidity sensors, light sensors, and pedestrian flow sensors are also provided inside the building; after the initial strategy is formulated, if the real-time power consumption of the building detected by the power consumption detection device always satisfies |P2-P1| / △T<=ξ and When the temperature sensor, humidity sensor, light sensor and pedestrian flow sensor in the building are turned off, the allocation strategy is implemented based on strategy one or strategy two, and the specific power consumption of each temperature, humidity and lighting in the building is allocated according to the specific allocation strategy.

[0016] Furthermore, if the real-time power consumption of the building detected by the power consumption detection device shows |P2-P1| / △T>ξ and When changing strategy one or strategy two, the temperature sensor, humidity sensor, light sensor and human flow sensor in the building are turned on to detect the temperature, humidity, brightness and human flow in the building.

[0017] Furthermore, under the initial allocation strategy, the standard temperature, humidity, brightness and flow rate in the building are set, and the standard temperature is set to W0, the standard humidity is set to S0, and the standard brightness and flow rate in the building is set to M0. 0， The standard flow of people in a building is R0; at the same time, the real-time temperature in the building detected by the temperature sensor, humidity sensor, light sensor and flow sensor after being turned on is W t , real-time humidity is S t , the real-time brightness level is M t , the real-time flow of people is R t .

[0018] Furthermore, the real-time detected temperature, humidity, brightness and pedestrian flow are compared with the standard temperature, humidity, brightness and pedestrian flow, and specific abnormal points in electricity demand are further detected on the basis of having changed strategy one or strategy two. Based on the specific abnormal points, the specific temperature, humidity and lighting electricity consumption distribution are adjusted on the basis of adding power supply from the grid and the energy storage device.

[0019] Furthermore, if the human flow R is detected t When >R0, the power of the central air conditioner is directly changed to reduce the building temperature, and the power of the humidifier is increased to increase the moisture transmission to the building, and the power consumption of the lighting device is increased to increase the lighting intensity.

[0020] (III) Beneficial effects

[0021] The present invention sets a solar power generation device on the outside of the building, first uses the solar power generation device to power the building, and when installing the solar power generation device, fully detects and tests the installation position and installation inclination angle outside the building to install the solar power generation device with the highest power generation efficiency, and sets a prediction system to predict the power generation of the solar power generation device and the power consumption of the building. First, a preliminary power supply strategy is formulated based on the prediction results, and a real-time power consumption detection device is set to detect the real-time power consumption of the building and compare it with the predicted value, so that the power supply strategy can be adjusted at any time, and the detection of each power supply device by each sensor can ensure the accurate adjustment of the power supply strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Attached Figure 1 Flowchart of building function strategy DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] A building energy-saving strategy optimization control method includes the following steps: initially setting a solar power generation device in a building, detecting various positions outside the building before setting the solar power generation device, selecting within 1 km of the building as the center, and preferentially selecting the top of the building for installation, detecting the location to be installed within 1 km of the building as the center, first performing a trial installation of the solar power generation panel, and first marking various positions of the location to be installed with X0, X1, X2, X3, ..., before the trial installation. n After marking, select the time period of 9-12 am and 12-3 pm for each marked location to test the sunlight exposure range, lay out the solar panels to be installed, and after laying out, focus on the locations to be installed that can illuminate more than 90% of the solar panels, and mark the installation locations marked with X N , in each X N The solar panels are installed at the installation site, and the optimal angle test is performed on the installed solar panels during the time periods of 9-12 am and 12-3 pm. The maximum average power generation per unit time of the optimal installation angle of the solar panels at the construction site is set to Q max, then adjust the solar panel to be installed 15 degrees above and below the optimal angle to find the optimal tilt angle of the installation site, test the power generation per unit time of each tilt angle as Q0, when 0=<(Q max -Q0) / Q max When the angle is less than 0.2, the tilt angle within this range is set as the optimal installation angle for installing the solar panels. After the solar panels are installed, record all the installation points X N and each mount point X N The average daily power generation in a month is Q1. A prediction system is set up to predict the daily power consumption of the building and the power generation of the solar panels. The average daily power consumption of the building is predicted to be P0, and the average daily power generation of the solar panels is Q2. When 0.9Q1=<Q2<=Q1 and Q2=P0 are satisfied, Strategy 1 is initially formulated to use the solar power generation device to supply all the electricity of the building on that day. An energy storage device is also provided inside the building. When 0.9Q1=<Q2<=Q1 and Q2>P0 are satisfied, Strategy 2 is initially formulated to turn on the energy storage device. While the solar power generation device supplies all the electricity of the building on that day, a part of the solar power generation is stored in the energy storage device. When 0.9Q1=<Q2<=Q 1 and Q2<P0, strategy three is formulated at the initial stage. While the solar power generation device supplies all the electricity of the building on that day, the energy storage device and the power supply system of the power grid provide supplementary power to the building. When Q2<=0.9Q1, strategy three is directly selected to supply power to the building. A building power detection device is also provided. The power detection device performs real-time detection of the building's power consumption on that day. When strategies one and two are executed, the detection time of power consumption is set to T0-T1. The prediction system predicts that the change function of power consumption within T0-T1 is f(p)dx. The building power consumption data before and after detection within any △T time within T0-T1 are P1 and P2. When |P2-P1| / △T<=ξ is satisfied, and the detected P value satisfies When the power supply strategy is not adjusted during the power supply time of the building, it is executed according to the initially formulated strategy 1 and strategy 2, where P J is the building electricity consumption value detected by the detection system, and P Y is the building electricity consumption value in the T0-T1 time period predicted by the prediction system. ξ is also the value predicted by the prediction device. It changes according to the time of electricity consumption. The ξ value is different during the stable electricity consumption period and the peak electricity consumption period. When |P2-P1| / △T>ξ, and the detected P value satisfies When the power supply strategy is adjusted, the power supply strategy is added to the power grid system and energy storage system for power supply on the basis of the initially formulated strategy 1 and strategy 2. After setting the total power consumption P0 in the building of strategy 1 and strategy 2, the power consumption of the central air conditioner for adjusting the temperature, the power consumption for adjusting the humidity, and the power consumption for adjusting the lighting in the building within a period of time is allocated based on strategy 1 and strategy 2, and the power consumption of the central air conditioner for temperature adjustment is set to P k , adjust the lighting power consumption to P Z , the power consumption for humidity adjustment is P S ; then ensure P k +P Z +P S <=P0, the power distribution method is set as the distribution strategy, and temperature sensors, humidity sensors, light sensors, and pedestrian flow sensors are also set inside the building; after the initial strategy is formulated, if the real-time power consumption of the building detected by the power detection device always satisfies |P2-P1| / △T<=ξ and When the temperature sensor, humidity sensor, light sensor and pedestrian flow sensor in the building are turned off, the allocation strategy is implemented on the basis of strategy one or strategy two, and the specific power consumption of each temperature, humidity and lighting in the building is allocated according to the specific allocation strategy. If the real-time power consumption of the building detected by the power detection device shows |P2-P1| / △T>ξ and When changing strategy 1 or strategy 2, turn on the temperature sensor, humidity sensor, light sensor and human flow sensor in the building, detect the temperature, humidity, brightness and human flow in the building, set the standard temperature, humidity, brightness and human flow in the building under the conditions of the initial allocation strategy, and set the standard temperature to W0, the standard humidity to S0, the standard brightness and darkness in the building to M 0， The standard flow of people in a building is R0; at the same time, the real-time temperature in the building detected by the temperature sensor, humidity sensor, light sensor and flow sensor after being turned on is W t , real-time humidity is S t , the real-time brightness level is M t , the real-time flow of people is R t , compare the real-time detected temperature, humidity, brightness and human flow with the standard temperature, humidity, brightness and human flow, further detect the specific abnormal points of power demand on the basis of changing strategy 1 or strategy 2, and adjust the specific temperature, humidity and lighting power distribution based on the addition of power supply from the grid and energy storage device according to the specific abnormal points. If the human flow R is detected t When >R0, the power of the central air conditioner is directly changed to reduce the building temperature, and the power of the humidifier is increased to increase the moisture transmission to the building, and the power consumption of the lighting device is increased to increase the lighting intensity.

Claims

1. A building energy-saving strategy optimization control method, comprising the following steps: initially setting a solar power generation device in a building, detecting various locations outside the building before setting the solar power generation device, and selecting within a range of 1 km centered on the building; Prioritize the top of the building for installation, test the installation site within 1KM of the building, and test the solar panels first. Before the test installation, mark the various locations of the installation site. After marking, test the sunlight exposure range of each marked location during the time periods of 9-12 am and 12-3 pm. Lay out the solar panels to be installed flat, and after laying out, mark the locations where more than 90% of the solar panels can be illuminated, and mark the locations where they are marked with an X. N , in each X N Install the solar panels at the installation location, and select the time period from 9 to 12 in the morning and from 12 to 3 in the afternoon to test the optimal angle of the installed solar panels; The maximum average power generation per unit time of the optimal installation angle of the solar panels at the building site is set to Q max , then adjust the solar panel to be installed 15 degrees above and below the optimal angle to find the optimal tilt angle for the installation site, test the power generation per unit time of each tilt angle to be Q0, and set the tilt angle within this range as the optimal installation angle for installing the solar panel.

2. The building energy-saving strategy optimization control method according to claim 1 is characterized in that: After installing the solar panels, record all the installation points X N and each mount point X N The average daily power generation in a month is Q1. A prediction system is set up to predict the daily power consumption of the building and the power generation of the solar panels. The average daily power consumption of the building is predicted to be P0, and the average daily power generation of the solar panels is Q2. Initially, a strategy is formulated that the solar power generation device will supply all the electricity of the building on that day.

3. The building energy-saving strategy optimization control method according to claim 2 is characterized in that: An energy storage device is also provided inside the building. Strategy 2 is initially formulated to turn on the energy storage device. While the solar power generation device supplies all the electricity for the day to the building, a portion of the solar power generation is stored in the energy storage device. Strategy 3 is initially formulated to supplement the power supply to the building by the energy storage device and the grid power supply system while the solar power generation device supplies all the electricity for the day to the building. Strategy 3 is directly selected to supply power to the building.

4. The building energy-saving strategy optimization control method according to claim 3 is characterized in that: A building electricity consumption detection device is also provided, which performs real-time detection of the building's electricity consumption on the day.

5. The building energy-saving strategy optimization control method according to claim 4 is characterized in that: When supplying power to buildings, the power supply strategy needs to be adjusted. On the basis of the initially formulated strategies one and two, the power grid system and energy storage system should be added to provide power.

6. The building energy-saving strategy optimization control method according to claim 5 is characterized in that: After setting the total electricity consumption P0 in the building for strategies one and two, the total electricity is allocated based on strategies one and two according to the central air-conditioning power consumption for adjusting the temperature, the power consumption for adjusting the humidity, and the power consumption for adjusting the lighting in the building over a period of time.

7. The building energy-saving strategy optimization control method according to claim 6 is characterized in that: Temperature sensors, humidity sensors, light sensors and pedestrian flow sensors are also installed inside the building.

8. The building energy-saving strategy optimization control method according to claim 7 is characterized in that: If the real-time electricity consumption of the building detected by the electricity detection device appears, the temperature sensor, humidity sensor, light sensor and pedestrian flow sensor in the building are turned on while changing strategy one or strategy two to detect the temperature, humidity, brightness and pedestrian flow in the building.

9. The building energy-saving strategy optimization control method according to claim 8 is characterized in that: Under the initial allocation strategy, the standard temperature, humidity, brightness and flow rate in the building are set. The standard temperature is set to W0, the standard humidity is set to S0, and the standard brightness and flow rate in the building is set to M. 0， The standard flow of people in a building is R0; at the same time, the real-time temperature in the building detected by the temperature sensor, humidity sensor, light sensor and flow sensor after being turned on is W t , real-time humidity is S t , the real-time brightness level is M t , the real-time flow of people is R t .

10. The building energy-saving strategy optimization control method according to claim 9, characterized in that: The real-time detected temperature, humidity, brightness and human flow are compared with the standard temperature, humidity, brightness and human flow. On the basis of changing strategy 1 or strategy 2, specific abnormal points of power demand are further detected. Based on the specific abnormal points, the specific temperature, humidity and lighting power distribution are adjusted on the basis of adding power supply from the grid and the energy storage device. If the human flow R is detected t When >R0, the power of the central air conditioner is directly changed to reduce the building temperature, and the power of the humidifier is increased to increase the moisture transmission to the building, and the power consumption of the lighting device is increased to increase the lighting intensity.

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