CN112114087A - Dynamic balance control method for greenhouse gas emission in building field - Google Patents
Dynamic balance control method for greenhouse gas emission in building field Download PDFInfo
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- 239000005431 greenhouse gas Substances 0.000 title claims abstract description 145
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012544 monitoring process Methods 0.000 claims abstract description 47
- 230000000694 effects Effects 0.000 claims abstract description 41
- 238000005265 energy consumption Methods 0.000 claims description 40
- 238000010438 heat treatment Methods 0.000 claims description 31
- 230000002159 abnormal effect Effects 0.000 claims description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 238000001816 cooling Methods 0.000 claims description 13
- 238000005286 illumination Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract description 4
- 238000011156 evaluation Methods 0.000 abstract 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 32
- 239000003345 natural gas Substances 0.000 description 13
- 238000010411 cooking Methods 0.000 description 11
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 10
- 238000005057 refrigeration Methods 0.000 description 9
- GQPLMRYTRLFLPF-UHFFFAOYSA-N Nitrous Oxide Chemical compound [O-][N+]#N GQPLMRYTRLFLPF-UHFFFAOYSA-N 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 229910002092 carbon dioxide Inorganic materials 0.000 description 5
- 239000001569 carbon dioxide Substances 0.000 description 5
- 239000011449 brick Substances 0.000 description 4
- 239000000446 fuel Substances 0.000 description 4
- 238000004321 preservation Methods 0.000 description 4
- 239000007789 gas Substances 0.000 description 3
- 239000001272 nitrous oxide Substances 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
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- 239000011541 reaction mixture Substances 0.000 description 2
- 239000003245 coal Substances 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 230000007774 longterm Effects 0.000 description 1
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Abstract
The embodiment of the application discloses a dynamic balance control method for greenhouse gas emission in the field of buildings, and a specific implementation mode of the method comprises the following steps: acquiring geographical position information of a target area; determining the region type and the building type of a target region according to the geographical position information, determining a main emission source and a corresponding emission weight according to the building type, further determining activity level data, and determining greenhouse gas emission control data; meanwhile, the dynamic emission of greenhouse gases is dynamically monitored; and realizing the control of the greenhouse gas dynamic emission balance in the building field of the target area based on the relation between the greenhouse gas emission control data and the greenhouse gas dynamic emission. The implementation mode realizes the reasonable determination of greenhouse gas emission data in the building field in a certain area, carries out reasonable and scientific evaluation on the greenhouse gas emission data, and can scientifically and reasonably master the actual level and the dynamic trend of greenhouse gas emission in the building field in the area through dynamic monitoring, thereby improving the environmental protection level.
Description
Technical Field
The application belongs to the technical field of environmental protection, and particularly relates to a dynamic balance control method for greenhouse gas emission in the field of buildings.
Background
Greenhouse gases are gases that absorb the long-wave radiation reflected from the ground in the atmosphere and re-emit the radiation, such as water vapor, carbon dioxide, most refrigerants, etc. Their function is to make the earth's surface warmer, similar to the function of a greenhouse to trap solar radiation, and to heat the air in the greenhouse. Water vapor, carbon dioxide, nitrous oxide, freon, methane, and the like are main greenhouse gases in the earth atmosphere, wherein the main greenhouse gases of carbon dioxide, methane, nitrous oxide, and the like are mainly derived from a direct emission process and an indirect emission process of fossil fuels.
The influence of global greenhouse gases on the environment is becoming more and more serious, and no exception is made in China. The macroscopic regulation and control of the emission of greenhouse gases is imperative. A large amount of greenhouse gas emission exists in the building field, so that the actual emission data of the greenhouse gas in the building field are mastered, reasonable and scientific dynamic monitoring is carried out, and important practical significance is brought to macroscopically knowing and guiding the emission of the greenhouse gas in the building field.
Disclosure of Invention
The embodiment of the application provides a dynamic balance control method for greenhouse gas emission in the field of buildings, which comprises the following steps:
acquiring geographical position information of a target area;
determining the area type and the building type of the target area according to the geographical position information;
determining main emission sources and corresponding emission weights of the building field of a target area according to the building type;
determining building field activity level data of the target area according to the main emission sources and the corresponding emission weights;
determining building field greenhouse gas emission control data of the target area according to the building field activity level data of the target area;
dynamically monitoring the dynamic emission of greenhouse gases in the field of buildings in a target area;
and realizing the control of the greenhouse gas dynamic emission balance in the building field of the target area based on the relation between the greenhouse gas emission control data and the greenhouse gas dynamic emission.
Further, in some embodiments, the method for controlling dynamic balance of greenhouse gas emission in the building field further comprises:
adjusting the building field greenhouse gas emission control data of the target area based on the result of emission balance control of the building field greenhouse gas of the target area;
and adjusting activity level data, main emission sources and emission weights of the building field of the target area according to greenhouse gas emission control data.
Further, in some embodiments, the greenhouse gas emission data of the building area of the target area is adjusted after the difference value between the greenhouse gas dynamic emission data and the greenhouse gas emission control data exceeds the set fluctuation range.
In some embodiments, the target area is divided into a north cold area, a summer hot and winter cold area, and a summer hot and winter warm area according to the geographical area information of the target area; the building categories are divided into urban resident buildings, urban public buildings or rural buildings.
In some embodiments, the main emission sources of buildings in northern cold regions include heating, household appliances, domestic hot water, cooling, lighting, and the corresponding emission weights are sequentially reduced; the main emission sources of buildings in hot summer and cold winter areas comprise cooling, household appliances, heating, domestic hot water and lighting, and the corresponding emission weights are reduced in sequence; the main emission sources of buildings in hot-summer and warm-winter areas comprise cooling, household appliances, domestic hot water and illumination, and the emission weight is reduced in sequence.
In some embodiments, dynamically monitoring greenhouse gas emissions of a target area building comprises:
determining an energy source of the main emission source according to the main emission source;
acquiring actual consumption information of an energy source corresponding to a main emission source;
transmitting the actual energy source consumption information to a monitoring terminal, processing the actual energy source consumption by the monitoring terminal to obtain corresponding dynamic greenhouse gas emission data, and judging whether the obtained dynamic greenhouse gas emission data and greenhouse gas emission control data in the building field of the target area conform to a set fluctuation range or not;
if the dynamic greenhouse gas emission data of the building in the target area exceed the set fluctuation range, the monitoring terminal feeds back information to the target area, and the target area starts an emergency mode to check the energy consumption state;
the monitoring terminal marks the greenhouse gas dynamic emission data as the actual greenhouse gas emission amount, and the greenhouse gas dynamic emission amount is used as one of the balance control data sources.
In some embodiments, the monitoring of the processing of the energy source by the terminal comprises:
determining building field activity level data corresponding to the main emission sources according to the type and the number of the energy sources;
determining greenhouse gas emission data of the corresponding building field according to the activity level and the emission factor of the building field corresponding to the main emission source;
and determining greenhouse gas emission data of the building field of the target area based on the greenhouse gas emission data of the building field corresponding to the main emission source.
In some embodiments, the dynamic balance control method for greenhouse gas emission in the building field further comprises the step of setting a mobile monitoring platform for greenhouse gas emission in the building field, and tracking and monitoring data abnormity of the dynamic greenhouse gas emission in the building field.
Further, in some embodiments, the tracking monitoring of anomaly data includes:
acquiring geographic position information of a source of abnormal data;
determining the area type and the building type of a target area where the geographic position information is located;
determining an energy source category for the building category;
acquiring actual consumption information corresponding to the energy source type;
compared with the record history of the abnormal data, and is used as one of the reference data for optimizing and adjusting the greenhouse gas emission control data.
Further, in some embodiments, the abnormal data that meets the statistical rules is used as the greenhouse gas emission control data for optimal adjustment after comparison with the recorded history of the abnormal data.
The dynamic balance control method for greenhouse gas emission in the building field, disclosed by the embodiment of the application, can reasonably determine greenhouse gas emission data in the building field in a certain area, reasonably and scientifically evaluate the greenhouse gas emission data, further can scientifically and reasonably master the actual level and the dynamic trend of greenhouse gas emission in the building field in the area through dynamic monitoring, and improves the environmental protection level.
Drawings
FIG. 1 is a flow chart of a dynamic balance control method for greenhouse gas emission in the field of construction according to example 1
Detailed Description
The word "embodiment" as used herein, is not necessarily to be construed as preferred or advantageous over other embodiments, including any embodiment illustrated as "exemplary". It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure.
Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
In this application, including the claims, all conjunctions such as "comprising," including, "" carrying, "" having, "" containing, "" involving, "" containing, "and the like are to be understood as being open-ended, i.e., to mean" including but not limited to. Only the conjunction "consisting of" and "consisting of" are closing conjunction.
The method and system for determining regional greenhouse gas emission data are further described below in conjunction with the detailed description and examples for implementation by those skilled in the art. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In some embodiments, a building field greenhouse gas emission dynamic balance control method includes obtaining geographic location information of a target area. The difference of the geographic positions causes enough difference to the influence of the building requirements in the area, the energy consumption regulation of the building is correspondingly regulated, and the actual energy consumption of the building in use has actual difference in order to meet the relative comfort requirements of people on living, living and working; in addition, in the same area, the difference of the building types can cause the difference of energy consumption levels, the difference of the energy consumption levels inevitably causes the difference of greenhouse gas emission data, and the scientific and reasonable foundation is provided for accurately mastering and monitoring the greenhouse gas emission in the area building field by combining the area type and the building type determined by the geographical position of the target area.
In some embodiments, the area category and the building category of the target area are determined from the geographic location information. As an alternative embodiment, the target area can be divided into a north cold area, a summer hot winter cold area and a summer hot winter warm area according to the geographical area information of the target area, because the energy consumption levels and energy consumption types of the three areas have macroscopic overall differences; furthermore, the building types are divided into urban resident buildings, urban public buildings or rural buildings, the types, the energy consumption levels and the energy consumption quantities of different buildings are greatly different, different building types are considered in a distinguishing mode, and greenhouse gas emission data caused by energy consumption in the building field can be conveniently and reasonably determined.
In some embodiments, the primary emission sources and corresponding emission weights for the targeted regional building areas are determined according to building categories. In some optional embodiments, the main emission sources of buildings in northern cold regions include heating, household appliances, domestic hot water, cooling and lighting, and the corresponding emission weights are sequentially reduced; the main emission sources of buildings in hot summer and cold winter areas comprise cooling, household appliances, heating, domestic hot water and lighting, and the corresponding emission weights are reduced in sequence; the main emission sources of buildings in hot-summer and warm-winter areas comprise cooling, household appliances, domestic hot water and illumination, and the emission weights are reduced in sequence; further differentiation between building height and building function is required in combination with other emission sources, such as elevators, public lighting, etc. In some embodiments, the emission sources of the residential buildings in cities and towns include energy consumption of activities such as heating, cooling, household appliances, domestic hot water, cooking, lighting, elevators, public lighting, which respectively have different energy consumption weights, and the energy consumption activities in different regions have different weights. For example, heating in northern cold regions takes the greatest weight, cooling takes the greatest weight in hot summer and warm winter regions, and heating and cooling have similar proportions and weights in hot summer and cold winter regions.
Typically, the energy consumed for cooling is derived from electricity, and the energy consumption of electricity is calculated as follows:
Erefrigeration system＝∑iH×EQi×Ti×Wi…………(1)
In formula (1):
Erefrigeration system: the total refrigeration energy consumption of the urban residential buildings is expressed in kilowatt-hour;
h: representing the total number of households;
EQi: the number of the owned refrigeration equipment i is shown, and the equipment/household is shown;
T ithe using time and the hour of the refrigeration equipment i are shown;
Wi: represents the power, kilowatts, of the refrigeration unit i;
i, indicating the type of refrigeration equipment;
energy consumption devices such as household appliances, lighting, elevators, etc. using electric power as energy can calculate energy consumption with reference to the above formula (1).
Usually, a gas stove is used for cooking, natural gas is used as an energy consumption source, and the energy consumption can be calculated by adopting the following formula:
Ecooking＝∑iH×EU×Pi÷EFFi×FQ×f2…………(2)
In formula (2):
Ecooking: the total energy consumption of cooking of urban residential buildings is represented, and L natural gas is represented;
h: representing the total number of households;
EU: represents the energy consumption of each meal, J/time;
Pi: represents the proportion,%, of cooking equipment i in the whole equipment;
EFFi: to representEfficiency of cooking equipment i,%;
FQ: represents the frequency of activity, secondary;
f2the unit conversion coefficient, L natural gas/J;
the energy consumption of hot water, the energy consumption of heating and the like by adopting natural gas can be calculated by referring to the formula (2).
The common heating forms include central heat source heating and decentralized heating, for example, a main body in a northern cold area adopts a central heat source heating mode, a small part adopts a household coal, gas or electric heating mode for heating, while a hot-in-summer and cold-in-winter area mainly adopts a separate heating mode, such as an electric heater, an air conditioner and the like, while a hot-in-summer and warm-in-winter area basically does not adopt heating equipment. The energy consumption of the centralized heating mode industry belongs to public heating energy consumption and can be obtained from energy consumption data of public heating departments such as heating companies and the like. The household heating energy consumption of the urban residential building can adopt the following formula (3):
Eheating system＝∑iS×HD×Pi÷EFFi×Ti×f1…………(3)
In formula (3):
Eheating system: the system represents the total energy consumption of distributed heating of urban residential buildings, namely L natural gas;
s: representing the area of a dispersed heating residential building;
HD: represents a heat load index per unit area, kilojoules per square meter;
Pi: represents the proportion,%, of the heating equipment i in all the equipment;
EFFi: represents the efficiency,%, of the heating equipment i;
ti represents the service time of heating equipment, namely hours;
f1the unit conversion coefficient, L natural gas/J;
usually, as a residential building in a rural area, the heating energy consumption further needs to consider the building types, such as 24-brick wall with heat preservation, 24-brick wall without heat preservation, 37-brick wall with heat preservation, 37-brick wall without heat preservation, passive solar house and the like, and according to the proportional relation of different building types, the total energy consumption data is determined reasonably and evenly by referring to the calculation method of the residential building energy consumption in the town.
Usually, the calculation of power consumption in rural refrigeration, illumination, household appliances, hot water, cooking and the like can be carried out by referring to the calculation mode of urban residential buildings. The cooking power consumption needs to be reasonably adjusted by combining with the characteristics of rural population, for example, the cooking power consumption is adjusted by adding a proper proportion weight proportion according to the characteristics of population quantity.
Generally, public buildings comprise state office buildings, large public buildings and medium and small public buildings, energy consumption sources and calculation methods can be carried out according to consideration factors and calculation methods of urban residential buildings.
In some embodiments, building domain activity level data for the target area is determined based on primary emission sources and corresponding emission weights. Generally, activity level data in the building field has overall regional characteristics and building category characteristics, main emission activities have typical regional characteristics and building characteristics, but activity levels and activity behaviors in the specific building field also have characteristics of the activity levels and the activity behaviors, such as the utilization rate of buildings, population density and population flow in public buildings, and temporal changes caused by population mobility, such as the population mobility and the change of energy consumption categories caused by long-term fakes, can bring certain influence on the activity levels in the building field. The typical activity characteristics and the concrete activity characteristics in the building field are combined, and reasonable weight distribution is performed on refrigeration, heating, household appliances, illumination, elevators, hot water and cooking, so that more reasonable and comprehensive energy consumption level data in the building field can be obtained, and reasonable activity level data can be obtained. As an alternative embodiment, a certain number of typical building categories are selected from a target area as objects to be inspected, and the method further extends to the building field of the whole area to take data acquisition efficiency and accuracy into consideration. In addition, the accuracy of the acquired activity data can be adjusted by referring to and combining the dynamic activity level data in the dynamic monitoring process, so that the accuracy and the practicability of the data are improved.
Determining building field greenhouse gas emission control data of the target area according to the building field activity level data of the target area;
as an alternative example, the relationship between greenhouse gas emission data and activity level, emission factor is calculated according to the following equation (4):
E＝AD×EF…………(4)
in the formula (4), the reaction mixture is,
e: data indicating greenhouse gas emission (emission)
AD: indicating activity level
EF: representing the emission factor.
In some embodiments, the emission factor of carbon dioxide for a fuel such as natural gas is determined according to the following equation (5):
EFco2＝NCV×CC×OF×44÷12…………(5)
in the formula (5), the reaction mixture is,
EFco2: factor representing emission of carbon dioxide
NCV: indicating the average lower calorific value of fuel such as natural gas
CC: indicating the average carbon content per unit calorific value of fuel such as natural gas
OF: represents an average carbon oxidation rate of a fuel such as natural gas;
the emission factors of methane and nitrous oxide are calculated according to the existing standard of real consumption.
In some embodiments, the greenhouse gas emission factor for the electric energy consumption activity is determined according to the regional electric emission profile, and is calculated by equation (6):
the greenhouse gas emission factor of the thermal energy activity is calculated according to the regional thermal emission factor, and is as follows:
further, dynamically monitoring the dynamic emission of greenhouse gases in the building field of the target area; in the building field, activities directly related to greenhouse gas emission are related to energy consumption, the dynamic level of the energy consumption is realized, and the greenhouse gas emission dynamic data in the building field can be scientifically and reasonably monitored, so that the greenhouse gas emission dynamic data in the building field can be directly obtained by dynamically monitoring the power consumption, the natural gas consumption and the like directly related to the energy consumption activities in the building field. The monitoring of the power consumption and the dynamic consumption of the natural gas is realized by dynamically monitoring the power supply and the natural gas supply.
As an alternative embodiment, the control of the greenhouse gas dynamic emission balance in the building field of the target area is realized based on the determination of greenhouse gas emission control data and the monitoring of the greenhouse gas dynamic emission. Further, in some embodiments, the method for controlling the greenhouse gas emission dynamic balance in the building field specifically comprises: adjusting the building field greenhouse gas emission control data of the target area based on the result of emission balance control of the building field greenhouse gas of the target area; and adjusting activity level data, main emission sources and emission weights of the building field of the target area according to greenhouse gas emission control data. Further as an alternative embodiment, in some embodiments, the greenhouse gas emission data in the building area of the target area is adjusted after the difference value between the greenhouse gas dynamic emission data and the greenhouse gas emission control data exceeds the set fluctuation range. Generally, the activity level of the building field is kept in a certain level range and keeps a certain development trend, such as increasing year by year, so that the change of the activity level in a certain range is the normal situation of social development, and therefore, the level range is determined as a reasonable fluctuation range, and if the dynamic activity level is in the reasonable fluctuation range, the determined reasonable dynamic emission level can be determined as new greenhouse gas emission control data. In some embodiments, dynamically monitoring greenhouse gas emissions of a target area building comprises: determining an energy source according to the main emission source, acquiring actual energy source consumption information corresponding to the main emission source, transmitting the actual energy source consumption information to a monitoring terminal, processing the actual energy source consumption by the monitoring terminal to obtain corresponding greenhouse gas dynamic emission data, and judging whether the obtained greenhouse gas dynamic emission data and greenhouse gas emission control data in the target area building field conform to a set fluctuation range or not; if the dynamic greenhouse gas emission data of the building in the target area exceed the set fluctuation range, the monitoring terminal feeds back information to the target area, and the target area starts an emergency mode to check the energy consumption state; and the monitoring terminal marks the determined reasonable greenhouse gas dynamic emission data as the actual greenhouse gas emission amount to serve as greenhouse gas emission control data. In some alternative embodiments, reasonable adjustments are also made to the fluctuation range based on greenhouse gas emission dynamic monitoring data.
In some embodiments, the monitoring of the processing of the energy source by the terminal comprises: determining building field activity level data corresponding to the main emission sources according to the type and the number of the energy sources; determining greenhouse gas emission data of the corresponding building field according to the activity level and the emission factor of the building field corresponding to the main emission source; and determining greenhouse gas emission data of the building field of the target area based on the greenhouse gas emission data of the building field corresponding to the main emission source.
In some embodiments, the dynamic balance control method for greenhouse gas emission in the building field further comprises the step of setting a mobile monitoring platform for greenhouse gas emission in the building field, and tracking and monitoring data abnormity of the dynamic greenhouse gas emission in the building field. In an optional embodiment, the tracking and monitoring of the abnormal data specifically includes: acquiring geographic position information of a source of abnormal data; determining the area type and the building type of a target area where the geographic position information is located; determining an energy source category for the building category; acquiring actual consumption information corresponding to the energy source type; compared with the record history of the abnormal data, and is used as one of the reference data for optimizing and adjusting the greenhouse gas emission control data. Further, in some embodiments, after comparing with the record history of the abnormal data, the abnormal data meeting the statistical rules is recorded as one of the reference data for optimizing and adjusting the greenhouse gas emission control data, for example, according to the normal distribution rule, the abnormal data with the distribution probability of more than 80% is used as the normal variation data to adjust the greenhouse gas emission control data.
In the following detailed description, specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details.
FIG. 1 is a flow chart of a dynamic balance control method for greenhouse gas dynamic emission in the building field in embodiment 1, the control method comprising:
acquiring geographical position information of a target area, determining the area type and the building type of the target area, further determining a main emission source and a corresponding emission weight of the building field of the target area, determining activity level data of the building field of the target area, determining emission control data of greenhouse gases of the building of the target area, and transmitting the emission control data to a monitoring terminal;
dynamically monitoring the greenhouse gas dynamic emission in the field of target area buildings, and determining an energy source according to a main emission source; acquiring actual energy source consumption information corresponding to a main emission source, and transmitting the actual energy source consumption information to a monitoring terminal;
the monitoring terminal processes the actual consumption of the energy source to obtain corresponding dynamic greenhouse gas emission data, and judges whether the obtained dynamic greenhouse gas emission data and the greenhouse gas emission control data in the building field of the target area conform to a set fluctuation range or not;
and realizing the control of the greenhouse gas dynamic emission balance in the building field of the target area based on the relation between the greenhouse gas emission control data and the greenhouse gas dynamic emission.
After the difference value between the greenhouse gas dynamic emission data and the greenhouse gas emission control data exceeds a set fluctuation range, adjusting the greenhouse gas emission data in the target area building field, and marking the greenhouse gas dynamic emission data as the actual greenhouse gas emission amount by the monitoring terminal to serve as one of balance control data sources;
meanwhile, tracking and monitoring the data abnormity of the greenhouse gas emission dynamic emission in the building field, and acquiring the geographic position information of the source of the abnormal data; determining the area type and the building type of a target area where the geographic position information is located; determining an energy source category for the building category; acquiring actual consumption information corresponding to the energy source type; compared with the record history of the abnormal data, and is used as one of the reference data for optimizing and adjusting the greenhouse gas emission control data.
Further, in some embodiments, the abnormal data that meets the statistical rules is recorded as one of the reference data for optimizing and adjusting the greenhouse gas emission control data after being compared with the record history of the abnormal data.
The dynamic control method for greenhouse gas emission in the building field disclosed by the embodiment of the invention can reasonably determine greenhouse gas emission control data in the building field of a certain area, reasonably and scientifically evaluate the greenhouse gas emission control data, and further can balance and control regional greenhouse gas emission, improve the environmental protection level and promote the sustainability of regional social life and economic development through dynamic monitoring.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention.
Claims (10)
1. A dynamic balance control method for greenhouse gas emission in the field of buildings comprises the following steps:
acquiring geographical position information of a target area;
determining the area type and the building type of the target area according to the geographical position information;
determining main emission sources and corresponding emission weights of the target area building field according to the building types;
determining building field activity level data of the target area according to the main emission sources and the corresponding emission weights;
determining building field greenhouse gas emission control data of the target area according to the building field activity level data of the target area;
dynamically monitoring the dynamic emission of greenhouse gases in the field of buildings in a target area;
and realizing the control of the greenhouse gas dynamic emission balance in the building field of the target area based on the relation between the greenhouse gas emission control data and the greenhouse gas dynamic emission.
2. The method of claim 1, further comprising:
adjusting the target regional building area greenhouse gas emission control data based on a result of emission balance control of the target regional building area greenhouse gas;
and adjusting activity level data, main emission sources and emission weights of the target area building field according to the greenhouse gas emission control data.
3. The method according to claim 2, wherein the greenhouse gas emission control data is adjusted after the difference between the dynamic greenhouse gas emission data and the dynamic greenhouse gas emission data exceeds a set fluctuation range.
4. A method according to any one of claims 1, 2 or 3, wherein:
the geographic region information of the target region divides the target region into a north cold region, a summer hot and winter cold region and a summer hot and winter warm region; the building categories are divided into town resident buildings, town public buildings or rural buildings.
5. The method of claim 4, wherein the major emission sources of the northern cold district building include heating, home appliances, domestic hot water, cooling, lighting, and the corresponding emission weights are sequentially reduced; the main emission sources of the buildings in the hot summer and cold winter areas comprise cooling, household appliances, heating, domestic hot water and lighting, and the corresponding emission weights are sequentially reduced; the main emission sources of the building in the hot-summer and warm-winter area comprise cooling, household appliances, domestic hot water and illumination, and the emission weight is reduced in sequence.
6. The method of claim 1, wherein dynamically monitoring greenhouse gas emissions of the target area building comprises:
determining an energy source of the main emission source according to the main emission source;
acquiring actual consumption information of an energy source corresponding to a main emission source;
transmitting the actual energy source consumption information to a monitoring terminal, processing the actual energy source consumption by the monitoring terminal to obtain corresponding dynamic greenhouse gas emission data, and judging whether the obtained dynamic greenhouse gas emission data and the greenhouse gas emission control data in the target area building field conform to a set fluctuation range or not;
if the dynamic emission of the greenhouse gases of the building in the target area is judged to exceed the set fluctuation range, the monitoring terminal feeds back information to the target area, and the target area starts an emergency mode and checks the energy consumption state;
and the monitoring terminal marks the greenhouse gas dynamic emission data as the actual greenhouse gas emission amount, and the greenhouse gas dynamic emission data is used as one of balance control data sources.
7. The method of claim 6, wherein the monitoring terminal's processing of the energy source comprises:
determining building field activity level data corresponding to the main emission sources according to the type and the number of the energy sources;
determining greenhouse gas emission data of the corresponding building field according to the activity level and the emission factor of the building field corresponding to the main emission source;
and determining greenhouse gas emission data of the building field of the target area based on the greenhouse gas emission data of the building field corresponding to the main emission source.
8. The method as claimed in claim 1, 2 or 3, further comprising setting up a construction field greenhouse gas emission maneuvering monitoring platform for tracking and monitoring data abnormity of construction field greenhouse gas emission dynamic emission.
9. The method of claim 8, wherein the tracking monitoring of anomaly data comprises:
acquiring geographic position information of a source of abnormal data;
determining the area type and the building type of a target area where the geographic position information is located;
determining an energy source category of the category building;
acquiring actual consumption information corresponding to the energy source type;
compared with the record history of the abnormal data, and is used as one of the reference data for optimizing and adjusting the greenhouse gas emission control data.
10. The method of claim 9, wherein the statistically significant abnormal data is used as the greenhouse gas emission control data for optimal adjustment after comparison with the history of abnormal data.
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