Carbon emission measurement and assessment method and system for office buildings with variable air volume air conditioning systems

Abstract

The present invention provides a method and system for measuring and evaluating household carbon emissions in office buildings with a variable air volume air conditioning system. According to the working principle and relevant operating parameters of the variable air volume air conditioning system, a method for measuring household carbon emissions in office buildings with a variable air volume air conditioning system is proposed. The method eliminates the influence of non-human factors such as office orientation on the carbon emission results of office air conditioners, and improves the rationality and fairness of carbon emission evaluation of household air conditioners in office buildings with a variable air volume air conditioning system. At the same time, the carbon emissions per capita per unit time and per unit area of ​​the office are used as evaluation indicators, and the carbon emission intensity of the air conditioners in each office is compared and analyzed through an algorithm. The carbon emission levels of household air conditioners in office buildings with a variable air volume air conditioning system are classified, thereby effectively urging air conditioner users to reduce carbon emissions. The problem that the evaluation methods in the prior art all take buildings as the objects for carbon emission evaluation, and do not consider the carbon emission measurement of household air conditioning systems in office buildings and the carbon emission index evaluation of each office.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy conservation and emission reduction, and in particular to a household carbon emission measurement and evaluation method and system for an office building with a variable air volume air conditioning system. Background Art

[0002] At the 26th United Nations Climate Change Conference (COP26 Summit), all countries reached a consensus that they would be confident in controlling the global temperature rise within 1.8℃, but in order to further achieve the goal of 1.5℃, more measures need to be taken to reduce carbon emissions. According to statistics, carbon dioxide emissions caused by building energy consumption in my country account for about 45% of total emissions, among which air conditioning systems contribute more than 15% to national greenhouse gas emissions. According to the latest building energy efficiency EPBD directive to be issued by the EU in 2021, European building energy consumption accounts for about 40%, which causes 36% of total emissions, among which household cooling, heating and domestic hot water account for 80% of total energy consumption. The use rate and ownership of air conditioners in China and the world have steadily increased with economic development. According to data from the National Bureau of Statistics: the ownership of air conditioners in Chinese residents has increased from 70.4 units per 100 households in 2013 to 109.3 units per 100 households in 2018, an increase of 55% in 5 years. Carbon emissions have also risen with the increase in the use of air conditioners. It has attracted widespread attention. my country has taken the initiative to promise that by 2030, my country's carbon dioxide emissions per unit of GDP will be reduced by 60% to 65% compared with 2005, and the total emissions will reach a peak. Therefore, it is imperative to take appropriate measures to reduce carbon emissions per unit of air conditioning. Calculating and analyzing carbon emissions from air conditioning electricity consumption is of great significance to the construction of my country's low-carbon economy and the protection of the ecological environment.

[0003] The current public building energy consumption analysis and evaluation method collects actual heating energy consumption assessment indicators and actual non-heating energy consumption assessment indicators to establish an evaluation system, integrates the actual heating energy consumption and the actual non-heating energy consumption, and then inputs them into the evaluation system for evaluation to obtain the final evaluation results or collects actual carbon emission data of different types of buildings, calculates the average rate of change of carbon emissions and the average rate of change of emission reductions, calculates the assessment values ​​of different types of buildings, and establishes an evaluation set; substitutes the collected actual carbon emission data, the average rate of change of carbon emissions and the average rate of change of carbon emission reductions into the corresponding carbon emission evaluation model to obtain the model evaluation value, and matches the model evaluation value with the evaluation set.

[0004] The existing assessment methods all take buildings as the object for carbon emission assessment, but do not consider the household carbon emission measurement of the central air-conditioning system of office buildings and the carbon emission index assessment of each office. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides a method and system for measuring and evaluating carbon emissions of household units in a variable air volume air conditioning system for office buildings, which solves the problem that the evaluation methods of the prior art proposed in the above background technology all take buildings as objects for carbon emissions evaluation, but do not consider the carbon emissions measurement of household units in the central air conditioning system of office buildings and the evaluation of carbon emission indicators of each office.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a variable air volume air conditioning system office building household carbon emission measurement and evaluation system, including: office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1, multi-channel electric power collector 2, water flow sensor 3, first water temperature sensor 4, second water temperature sensor 5, room temperature sensor 6, air volume sensor 7, south-facing solar radiation intensity wireless sensor 8, north-facing solar radiation intensity wireless sensor 9, wireless ambient temperature sensor 10, air handling equipment 11, air-water surface heat exchanger 12, variable frequency fan 13, fan inverter 14, variable air volume damper 15, office room 16, wireless infrared induction counter 17 and cloud platform 18;

[0009] Among them, the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 includes: a multi-input data filtering module 101, an analog data input interface 102, a first data conversion interface 103, a first 5G / 4G communication interface 104, a first memory 105, a carbon emission calculator 106, a Modbus / RS485 communication interface 107, and a first power supply 108;

[0010] The multi-channel electric power collector 2 includes: a multi-channel Modbus / RS485 communication interface 201, a second power supply 202, a second data conversion interface 203, a second 5G / 4G communication interface 204, a second memory 205, and an electric quantity calculator 206;

[0011] The air-water surface heat exchanger 12 and the variable frequency fan 13 are installed in the air handling device 11. The air-water surface heat exchanger 12 is located at the air inlet of the variable frequency fan 13. The fan inverter 14 is connected to the variable frequency fan 13. Each office room 16 is installed with a variable air volume valve 15. The air handling device 11 is connected to a plurality of variable air volume valves 15 through an air duct. The indoor temperature of the office room 16 is controlled by adjusting the opening of the variable air volume valve 15. An air volume sensor 7 is installed at the air inlet of the variable air volume valve 15. A room temperature sensor 6 is installed at an appropriate position in the office room 16. The first water temperature sensor 4 and the water flow sensor 3 are placed at the water inlet pipe of the air-water surface heat exchanger 12. The second water temperature sensor 5 is placed at the water outlet pipe of the air-water surface heat exchanger 12. The data input port of the multi-input data filtering module 101 is respectively connected to the water flow sensor 3, The first water temperature sensor 4, the second water temperature sensor 5, the room temperature sensor 6 and the air volume sensor 7 are connected, the Modbus / RS485 communication interface 107 is connected to the corresponding communication interface of the fan inverter 14, and the multiple Modbus / RS485 communication interfaces 201 are respectively connected to the communication interfaces of the electric meters corresponding to the air-conditioning cold / heat source power equipment. The wireless infrared sensing counter 17 is installed at the entrance and exit of the office, the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9 are respectively installed on the south wall and the north wall of the top floor of the office building, and the wireless ambient temperature sensor 10 is installed in the air inlet duct of the fresh air system of the office building or other ventilated and cool places. The south-facing solar radiation intensity wireless sensor 8, the north-facing solar radiation intensity wireless sensor 9 and the wireless ambient temperature sensor 10 are connected to the cloud platform 18 through a wireless data protocol.

[0012] Preferably, the multi-input data filtering module 101 is used for filtering and processing various physical analog data signals, the analog data input interface 102 is used for data signal import, the Modbus / RS485 communication interface 107 is used for importing the operating electric power signal of the variable frequency fan 13, and the multi-channel Modbus / RS485 communication interface 201 is used for importing the real-time operating electric power signal of each power equipment of the air conditioning cold / heat source, the first data conversion interface 103 and the second data conversion interface 203 convert various data signals into 5G / 4G communication signals, the first 5G / 4G communication interface 104 and the second 5G / 4G communication interface 204 send the data signal to the cloud platform 18, the first memory 105 is used to store the office household air conditioning cold / heat power and air conditioning fan electric power calculation program, the second memory 205 is used to store the superposition calculation program of the real-time power of multiple devices, and the first electric The power source 108 and the second power source 202 respectively power the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 and the multi-channel power collector 2, the water flow sensor 3, the first water temperature sensor 4 and the second water temperature sensor 5 respectively monitor the air conditioning water supply flow, water inlet temperature and water outlet temperature of the air-water surface heat exchanger 12, the room temperature sensor 6 is used to monitor the indoor temperature, the air volume sensor 7 is used to monitor the air supply volume of each office air conditioner, the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9 respectively monitor the south-facing solar radiation intensity and north-facing solar radiation intensity of the office building, the wireless ambient temperature sensor 10 is used to monitor the outdoor ambient temperature of the office building, the wireless infrared induction counter 17 is used to measure the number of people working on-site in the office, and the cloud platform 18 is used to calculate and evaluate the carbon emission level of the centralized air conditioning system of each office in the office building.

[0013] Preferably, the office household air conditioner cooling / heating power and air conditioner fan electric power calculator 1 calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, and transmits the calculated office household air conditioner cooling / heating power and air conditioner air supply electric power to the cloud platform 18 through the 5G / 4G data gateway;

[0014] The multi-channel power collector 2 collects the operating power of the chiller, cooling water pump, cooling tower and freezing water pump of the air-conditioning cold / heat source system respectively, and then adds the operating power of these power equipment to obtain the total operating power N_(sys,total) (unit: W) of the air-conditioning cold / heat source system, and transmits the total operating power of the air-conditioning cold / heat source system to the cloud platform 18 through the 5G / 4G data gateway;

[0015] The solar radiation intensity values ​​of the south and north sides of the office building obtained by the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9, the number of on-site office workers in each office obtained by the wireless infrared sensor counter 17, and the outdoor ambient temperature of the office building obtained by the wireless ambient temperature sensor 10 are all uploaded to the cloud platform 18 via a wireless communication protocol;

[0016] The cloud platform 18 scientifically calculates and reasonably evaluates and analyzes the carbon emission levels of the central air-conditioning systems of each office in the office building based on the relevant data transmitted by the office household air-conditioning cooling / heating power and air-conditioning fan electric power calculator 1, the multi-channel power collector 2, the south-facing solar radiation intensity wireless sensor 8, the north-facing solar radiation intensity wireless sensor 9 and the wireless ambient temperature sensor 10.

[0017] Preferably, the office household air conditioner cooling / heating power and air conditioner fan electric power calculator 1 calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, including:

[0018] The calculation method of cooling / heating power of household air conditioner is as follows:

[0019] Assume that the j-th multi-zone variable air volume air conditioning system corresponding to the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 bears the air conditioning load of n independent offices. The air supply volume of these independent offices can be measured by the air volume sensor 7, which is recorded as G a，1 , G a，2 ,......G a，n , then the air conditioning cooling / heating power consumed by the i-th independent office is Q o，room，i (Unit: W) is calculated by the following formula:

[0020]

[0021] In the formula, C w is the specific heat of water, the unit is J / (kg·℃), the value is 4200; G w，in is the air conditioning cold / hot water inlet flow rate of the air-water surface heat exchanger 12, in kg / s, measured by the water flow sensor 3; t w，in is the air-conditioning cold / hot water inlet temperature of the air-water surface heat exchanger 12, in °C, measured by the first water temperature sensor 4; t w，out is the air-conditioning cold / hot water inlet temperature of the air-water surface heat exchanger 12, in °C, measured by the second water temperature sensor 5;

[0022] The calculation method of the fan power of household air conditioner is as follows:

[0023] The operating power of the variable frequency fan 13 obtained by the Modbus / RS485 communication interface 107 is N AHUfan , then the air conditioning fan power consumed by the i-th office is N fan，room，i (Unit: W) is calculated by the following formula:

[0024]

[0025] Preferably, the scientific calculation and reasonable evaluation and analysis of the carbon emission levels of the central air conditioning systems of each office in the office building include:

[0026] Calculation of actual equivalent electric power of office household air conditioners;

[0027] Correct the actual equivalent electric power of office household air conditioners;

[0028] According to the electricity carbon emission calculation model and the household electricity consumption, the household carbon emission of the central air-conditioning system is determined, and the per capita carbon emission per unit time and per unit area of ​​the variable air volume central air-conditioning system are calculated;

[0029] Taking each office as a sample, the sample characteristics include per capita carbon emissions per unit time and carbon emissions per unit area caused by office air conditioning. The carbon emission levels of air conditioners in each office are compared, analyzed and evaluated.

[0030] Preferably, the actual equivalent electric power calculation of the office household air conditioner includes: assuming that there are a total of m multi-zone variable air volume air conditioning systems in the entire office building, the air conditioning cooling / heating power Q consumed by the i-th independent office in the j-th multi-zone variable air volume air conditioning system o，room，i (Unit: W) is converted into equivalent electric power N according to the following formula Qo，room，i (Unit: W):

[0031]

[0032] The actual equivalent power N of the air conditioner in the i-th office AC，room，i Calculated by the following formula:

[0033] N AC，room，i =N fan，room，i +N Qo，room，i (4).

[0034] Preferably, the correction of the actual equivalent electric power of the office household air conditioner includes:

[0035] Calculate the air conditioning cooling / heating load generated by the office exterior envelope structure; Taking the air conditioning cooling load calculation as an example, the air conditioning cooling load CL generated by the office exterior envelope structure includes the heat transmitted through the envelope structure and the solar radiation heat transmitted through the transparent envelope structure. The air conditioning cooling load CL generated by the outer wall of the i-th office Extwall，i and the air conditioning cooling load CL generated by the exterior windows Extwindow，i Calculated by formula (5) and formula (6) respectively:

[0036] CL Extwall，i =K rwall ·F rwall，i ·(t Extwall，z -t indoor，i ) (5)

[0037] CL Extwindow，i =K rwindow ·F rwindow，i ·(t Extwindow，z -t indoor，i )+Y z F rwindow，i I solar (6)

[0038] In the formula, K rwall is the total heat transfer coefficient of the exterior wall, in W / (m 2 ℃); K rwindow is the total heat transfer coefficient of the exterior window, the unit is W / (m 2 ℃); F rwall，i is the outer wall area of ​​the i-th office, in m 2 ; F rwindow，i is the area of ​​the exterior window of the i-th office, in m 2 ;t indoor，i is the indoor air temperature of the i-th office, in °C, measured by the room temperature sensor 6; t Extwall，z is the integrated temperature of the exterior wall surface, in °C, calculated by formula (7); Extwindow，z is the integrated temperature of the outer surface of the exterior window, in °C, calculated by formula (8); z is the comprehensive shielding coefficient of the exterior window, which is related to the transmittance of the glass and takes a value of 0.6-0.8; I solar is the solar radiation intensity, the unit is W / m 2 , measured by the south-facing solar radiation intensity wireless sensor 8 or the north-facing solar radiation intensity wireless sensor 9;

[0039] The comprehensive temperature of the building's exterior wall surface Extwall，z The calculation formula is as follows:

[0040]

[0041] In the formula, t env，a is the outdoor ambient air temperature of the office building, in °C, measured by the wireless ambient temperature sensor 10; σ Extwall is the absorption coefficient of solar radiation on the outer surface of the wall; a Extwall is the heat release coefficient of the outer surface of the wall, the unit is W / (m 2 .℃);

[0042] The comprehensive temperature of the exterior surface of the building window t Extwindow，z The calculation formula is as follows:

[0043]

[0044] In the formula, σ Extwindow is the absorption coefficient of solar radiation on the outer surface of the window; a Extwindow is the heat release coefficient of the window outer surface, the unit is W / (m 2 .℃).

[0045] According to the previous assumption, the number of offices in the entire office building is: m×n, then the average cooling load of the air conditioning generated by the exterior wall of the entire building is

[0046]

[0047] The average cooling load of the air conditioning generated by the exterior windows of the entire building is

[0048]

[0049] Then the actual equivalent power correction value N of the household air conditioner in the i-th office is Qo，correct，i (Unit: W) The calculation formula is as follows:

[0050]

[0051] In this way, the actual equivalent power N of the air conditioner in the i-th office after correction is AC，room，correct，i (Unit: W) The calculation formula is as follows:

[0052] N AC，room，correct，i =N fan，room.i +N Qo，room.i +N Qo，correct，i (12).

[0053] Preferably, the calculation of the household-by-household per capita carbon emissions per unit time and per unit area of ​​the variable air volume central air conditioning system includes:

[0054] According to the electricity carbon emission calculation model and the corrected actual equivalent electric power of the household air conditioner, the per capita carbon emission per unit time and per unit area of ​​the variable air volume air conditioning system are calculated using formula (13) and formula (14);

[0055]

[0056]

[0057] Where M CO2，person，i is the per capita carbon emission per unit time of the central air-conditioning system of the i-th office, in kg(CO2) / (person·s); λ is the baseline emission factor of the regional power grid, in kg(CO2) / kWh; num is the number of people in the office at a certain time; M CO2，area，i is the carbon emission per unit time and per unit area of ​​the central air conditioning system of the i-th office, in kg(CO2) / (m 2 ·s); S i is the office area, in m 2 .

[0058] Preferably, each office is taken as a sample, and the sample characteristics include the carbon emissions per capita per unit time and the carbon emissions per unit area caused by the office air conditioner. The carbon emission levels of the air conditioners in each office are compared, analyzed and evaluated, including:

[0059] Step 1: Data cleaning and normalization. Use the range normalization method to convert the data x_ i Center by minimum value, then by range (x_ max -x_ min ) is scaled, the data is shifted by x_ min units, are mapped to the interval [0, 1] and obey the normal distribution. The calculation formula of the range standardization method is as follows:

[0060]

[0061] Step 2, specify the number of clusters k, determine k initial cluster centers, and classify the carbon emission level into five categories, k = 5, namely, economical, relatively economical, moderate, relatively wasteful, and wasteful;

[0062] Step 3: Calculate the weighted Euclidean distance between each sample data and each center point, and cluster each sample data to the center of each center point according to the principle of being closest to the k initial class centers, forming k classifications. Different features have a weight value. The larger the weight value, the more important the feature is to the final clustering result;

[0063] Step 4: Re-determine the k class centers, calculate the mean of all sample data in each class in turn, and use the mean as the center point of each class to complete one iteration;

[0064] Step 5, determine the termination condition and whether the cluster center point has changed. If it has changed, return to step 3. Otherwise, output the result and end.

[0065] The objective function of the evaluation algorithm is:

[0066]

[0067] Subject to constraints

[0068] Among them, U represents an n×k allocation matrix, u i,l Indicates that sample i is assigned to class l; Z = {Z1, Z2, …, Z k} represents the k class center vectors; W represents the weight matrix; d(x i,j ,z l,j ) represents the distance measure or difference measure between sample i and the lth class center vector on the jth feature attribute, when the attribute is a continuous variable:

[0069] d(x i,j ,z l,j )=(x i,j -z l,j ) 2 (17)

[0070] Through this algorithm, the carbon emission levels of household air conditioners in office buildings with variable air volume air conditioning systems are classified into five categories: economical, relatively economical, moderate, relatively wasteful, and wasteful.

[0071] (III) Beneficial effects

[0072] The present invention provides a method and system for measuring and evaluating household carbon emissions in office buildings with a variable air volume air conditioning system. It has the following beneficial effects:

[0073] The present invention proposes a method for measuring carbon emissions of household air conditioners in office buildings with a variable air volume air conditioning system according to the working principle and relevant operating parameters of the variable air volume air conditioning system. The method eliminates the influence of non-human factors such as office orientation on the carbon emissions of office air conditioners, and improves the rationality and fairness of carbon emissions assessment of household air conditioners in office buildings with a variable air volume air conditioning system. At the same time, the carbon emissions per capita per unit time and per unit area of ​​the office are used as evaluation indicators, and the carbon emission intensity of the air conditioners in each office is compared and analyzed through an algorithm, and the carbon emission levels of household air conditioners in office buildings with a variable air volume air conditioning system are classified into five categories: economical, relatively economical, moderate, relatively wasteful, and wasteful, thereby effectively urging air conditioner users to reduce carbon emissions, alleviating my country's energy pressure, and accelerating the development of energy conservation and environmental protection, solving the problem that the evaluation methods in the prior art all take buildings as the objects for carbon emissions assessment, and do not consider the carbon emissions measurement of household air conditioners in centralized air conditioning systems in office buildings and the carbon emission index assessment of each office. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A schematic diagram of the structure of a household carbon emission measurement and assessment system for an office building of a variable air volume air conditioning system provided by an embodiment of the present invention;

[0075] Figure 2 A flow chart of a method for scientifically calculating and rationally evaluating and analyzing the carbon emission levels of the central air conditioning systems of each office in an office building in the method for measuring and evaluating the household carbon emissions of a variable air volume air conditioning system in an office building provided by an embodiment of the present invention.

[0076] In the figure: office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1, multi-input data filtering module 101, analog data input interface 102, first data conversion interface 103, first 5G / 4G communication interface 104, first memory 105, carbon emission calculator 106, Modbus / RS485 communication interface 107, first power supply 108, multi-channel electric power collector 2, multi-channel Modbus / RS485 communication interface 201, second power supply 202, second data conversion interface 203, second 5G / 4G communication interface 204, second memory 205, power calculator 206, water flow sensor 3, first water temperature sensor 4, second water temperature sensor 5, room temperature sensor 6, air volume sensor 7, south-facing solar radiation intensity wireless sensor 8, north-facing solar radiation intensity wireless sensor 9, wireless ambient temperature sensor 10, air treatment equipment 11, air-water surface heat exchanger 12, variable frequency fan 13, fan inverter 14, variable air volume damper 15, office room 16, wireless infrared sensing counter 17 and cloud platform 18. DETAILED DESCRIPTION

[0077] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0078] like Figure 1 As shown, a variable air volume air conditioning system office building household carbon emission measurement and assessment system includes: office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1, multi-channel electric power collector 2, water flow sensor 3, first water temperature sensor 4, second water temperature sensor 5, room temperature sensor 6, air volume sensor 7, south-facing solar radiation intensity wireless sensor 8, north-facing solar radiation intensity wireless sensor 9, wireless ambient temperature sensor 10, air handling equipment 11, air-water surface heat exchanger 12, variable frequency fan 13, fan inverter 14, variable air volume damper 15, office room 16, wireless infrared induction counter 17 and cloud platform 18;

[0079] Among them, the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 includes: a multi-input data filtering module 101, an analog data input interface 102, a first data conversion interface 103, a first 5G / 4G communication interface 104, a first memory 105, a carbon emission calculator 106, a Modbus / RS485 communication interface 107, and a first power supply 108;

[0080] The multi-channel electric power collector 2 includes: a multi-channel Modbus / RS485 communication interface 201, a second power supply 202, a second data conversion interface 203, a second 5G / 4G communication interface 204, a second memory 205, and an electric quantity calculator 206;

[0081] The air-water surface heat exchanger 12 and the variable frequency fan 13 are installed in the air handling device 11. The air-water surface heat exchanger 12 is located at the air inlet of the variable frequency fan 13. The fan inverter 14 is connected to the variable frequency fan 13. Each office room 16 is installed with a variable air volume valve 15. The air handling device 11 is connected to a plurality of variable air volume valves 15 through an air duct. The indoor temperature of the office room 16 is controlled by adjusting the opening of the variable air volume valve 15. An air volume sensor 7 is installed at the air inlet of the variable air volume valve 15. A room temperature sensor 6 is installed at an appropriate position in the office room 16. The first water temperature sensor 4 and the water flow sensor 3 are placed at the water inlet pipe of the air-water surface heat exchanger 12. The second water temperature sensor 5 is placed at the water outlet pipe of the air-water surface heat exchanger 12. The data input port of the multi-input data filtering module 101 is respectively connected to the water flow sensor 3, The first water temperature sensor 4, the second water temperature sensor 5, the room temperature sensor 6 and the air volume sensor 7 are connected, the Modbus / RS485 communication interface 107 is connected to the corresponding communication interface of the fan inverter 14, and the multiple Modbus / RS485 communication interfaces 201 are respectively connected to the communication interfaces of the electric meters corresponding to the air-conditioning cold / heat source power equipment. The wireless infrared sensing counter 17 is installed at the entrance and exit of the office, the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9 are respectively installed on the south wall and the north wall of the top floor of the office building, and the wireless ambient temperature sensor 10 is installed in the air inlet duct of the fresh air system of the office building or other ventilated and cool places. The south-facing solar radiation intensity wireless sensor 8, the north-facing solar radiation intensity wireless sensor 9 and the wireless ambient temperature sensor 10 are connected to the cloud platform 18 through a wireless data protocol.

[0082] Preferably, the multi-input data filtering module 101 is used for filtering and processing various physical analog data signals, the analog data input interface 102 is used for data signal import, the Modbus / RS485 communication interface 107 is used for importing the operating electric power signal of the variable frequency fan 13, and the multi-channel Modbus / RS485 communication interface 201 is used for importing the real-time operating electric power signal of each power equipment of the air conditioning cold / heat source, the first data conversion interface 103 and the second data conversion interface 203 convert various data signals into 5G / 4G communication signals, the first 5G / 4G communication interface 104 and the second 5G / 4G communication interface 204 send the data signal to the cloud platform 18, the first memory 105 is used to store the office household air conditioning cold / heat power and air conditioning fan electric power calculation program, the second memory 205 is used to store the superposition calculation program of the real-time power of multiple devices, and the first electric The power source 108 and the second power source 202 respectively power the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 and the multi-channel power collector 2, the water flow sensor 3, the first water temperature sensor 4 and the second water temperature sensor 5 respectively monitor the air conditioning water supply flow, water inlet temperature and water outlet temperature of the air-water surface heat exchanger 12, the room temperature sensor 6 is used to monitor the indoor temperature, the air volume sensor 7 is used to monitor the air supply volume of each office air conditioner, the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9 respectively monitor the south-facing solar radiation intensity and north-facing solar radiation intensity of the office building, the wireless ambient temperature sensor 10 is used to monitor the outdoor ambient temperature of the office building, the wireless infrared induction counter 17 is used to measure the number of people working on-site in the office, and the cloud platform 18 is used to calculate and evaluate the carbon emission level of the centralized air conditioning system of each office in the office building.

[0083] Preferably, the office household air conditioner cooling / heating power and air conditioner fan electric power calculator 1 calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, and transmits the calculated office household air conditioner cooling / heating power and air conditioner air supply electric power to the cloud platform 18 through the 5G / 4G data gateway;

[0084] The multi-channel power collector 2 collects the operating power of the chiller, cooling water pump, cooling tower and freezing water pump of the air-conditioning cold / heat source system respectively, and then adds the operating power of these power equipment to obtain the total operating power N_(sys,total) (unit: W) of the air-conditioning cold / heat source system, and transmits the total operating power of the air-conditioning cold / heat source system to the cloud platform 18 through the 5G / 4G data gateway;

[0085] The solar radiation intensity values ​​of the south and north sides of the office building obtained by the south-facing solar radiation intensity wireless sensor 8 and the north-facing solar radiation intensity wireless sensor 9, the number of on-site office workers in each office obtained by the wireless infrared sensor counter 17, and the outdoor ambient temperature of the office building obtained by the wireless ambient temperature sensor 10 are all uploaded to the cloud platform 18 via a wireless communication protocol;

[0086] The cloud platform 18 scientifically calculates and reasonably evaluates and analyzes the carbon emission levels of the central air-conditioning systems of each office in the office building based on the relevant data transmitted by the office household air-conditioning cooling / heating power and air-conditioning fan electric power calculator 1, the multi-channel power collector 2, the south-facing solar radiation intensity wireless sensor 8, the north-facing solar radiation intensity wireless sensor 9 and the wireless ambient temperature sensor 10.

[0087] Preferably, the office household air conditioner cooling / heating power and air conditioner fan electric power calculator 1 calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, including:

[0088] The calculation method of cooling / heating power of household air conditioner is as follows:

[0089] Assume that the j-th multi-zone variable air volume air conditioning system corresponding to the office household air conditioning cooling / heating power and air conditioning fan electric power calculator 1 bears the air conditioning load of n independent offices. The air supply volume of these independent offices can be measured by the air volume sensor 7, which is recorded as G a，1 , G a，2 ,......G a，n , then the air conditioning cooling / heating power consumed by the i-th independent office is Q o，room，i (Unit: W) is calculated by the following formula:

[0090]

[0091] In the formula, C w is the specific heat of water, J / (kg·℃), with a value of 4200; G w，in is the air conditioning cold / hot water inlet flow rate of the air-water surface heat exchanger 12, in kg / s, measured by the water flow sensor 3; t w，in is the air-conditioning cold / hot water inlet temperature of the air-water surface heat exchanger 12, in °C, measured by the first water temperature sensor 4; t w，out is the air-conditioning cold / hot water inlet temperature of the air-water surface heat exchanger 12, in °C, measured by the second water temperature sensor 5;

[0092] The calculation method of the fan power of household air conditioner is as follows:

[0093] The operating power of the variable frequency fan 13 obtained by the ModbusIRS485 communication interface 107 is N AHUfan , then the air conditioning fan power consumed by the i-th office is N fan，room，i (Unit: W) is calculated by the following formula:

[0094]

[0095] Preferably, the scientific calculation and reasonable evaluation and analysis of the carbon emission levels of the central air conditioning systems of each office in the office building include:

[0096] S1 Calculation of actual equivalent electric power of office household air conditioners;

[0097] S2 corrects the actual equivalent electric power of office household air conditioners;

[0098] S3 determines the household carbon emissions of the central air conditioning system according to the electricity carbon emissions calculation model and the household power consumption, and calculates the household carbon emissions per capita per unit time and per unit area of ​​the variable air volume central air conditioning system;

[0099] S4 takes each office as a sample. The sample characteristics include the per capita carbon emissions per unit time and the carbon emissions per unit area caused by office air conditioning. It compares, analyzes and evaluates the carbon emission levels of air conditioners in each office.

[0100] Preferably, the actual equivalent electric power calculation of the office household air conditioner includes: assuming that there are a total of m multi-zone variable air volume air conditioning systems in the entire office building, the air conditioning cooling / heating power Q consumed by the i-th independent office in the j-th multi-zone variable air volume air conditioning system o，room，i (Unit: W) is converted into equivalent electric power N according to the following formula Qo，room，i (Unit: W):

[0101]

[0102] The actual equivalent power N of the air conditioner in the i-th office AC，room，i Calculated by the following formula:

[0103] N AC，room，i =N fan，room，i +N Qo，room，i (4).

[0104] Preferably, the correction of the actual equivalent electric power of the office household air conditioner includes:

[0105] Calculate the air conditioning cooling / heating load generated by the office exterior envelope structure; Taking the air conditioning cooling load calculation as an example, the air conditioning cooling load CL generated by the office exterior envelope structure includes the heat transmitted through the envelope structure and the solar radiation heat transmitted through the transparent envelope structure. The air conditioning cooling load CL generated by the outer wall of the i-th office Extwall，i and the air conditioning cooling load CL generated by the exterior windows Extwindow，i Calculated by formula (5) and formula (6) respectively:

[0106] CL Extwall，i =K rwall ·F rwall，i ·(t Extwall，z -t indoor，i ) (5)

[0107] CL Extwindow，i =K rwindow ·F rwindow，i ·(t Extwindow，z -t indoor，i )+Y z F rwindow，i I solar (6)

[0108] In the formula, K rwall is the total heat transfer coefficient of the exterior wall, W / (m 2 ℃); K rwindow is the total heat transfer coefficient of the exterior window, W / (m 2 ℃); F rwall，i is the outer wall area of ​​the i-th office, m 2 ; F rwindow，i is the area of ​​the exterior window of the i-th office, m 2 ;t indoor，i is the indoor air temperature of the i-th office, °C, measured by the room temperature sensor 6; t Extwall，z is the comprehensive temperature of the exterior wall surface, °C, calculated by formula (7); t Extwindow，z is the integrated temperature of the outer surface of the exterior window, °C, calculated by formula (8); z is the comprehensive shielding coefficient of the exterior window, which is related to the transmittance of the glass and takes a value of 0.6-0.8; I solar is the solar radiation intensity, W / m 2 , measured by the south-facing solar radiation intensity wireless sensor 8 or the north-facing solar radiation intensity wireless sensor 9;

[0109] The comprehensive temperature of the building's exterior wall surface Extwall，z The calculation formula is as follows:

[0110]

[0111] In the formula, t env，ais the outdoor ambient air temperature of the office building, in °C, measured by the wireless ambient temperature sensor 10; σ Extwall is the absorption coefficient of solar radiation on the outer surface of the wall; a Extwall is the heat release coefficient of the outer surface of the wall, the unit is W / (m 2 .℃);

[0112] The comprehensive temperature of the exterior surface of the building window t Extwindow，z The calculation formula is as follows:

[0113]

[0114] In the formula, σ Extwindow , is the absorption coefficient of the outer surface of the window to solar radiation; a Extwindow is the heat release coefficient of the window outer surface, the unit is W / (m 2 .℃).

[0115] According to the previous assumption, the number of offices in the entire office building is: m×n, then the average cooling load of the air conditioning generated by the exterior wall of the entire building is

[0116]

[0117] The average cooling load of the air conditioning generated by the exterior windows of the entire building is

[0118]

[0119] Then the actual equivalent power correction value N of the household air conditioner in the i-th office is Qo，correct，i (Unit: W) The calculation formula is as follows:

[0120]

[0121] In this way, the actual equivalent power N of the air conditioner in the i-th office after correction is AC，room，correct,i (Unit: W) The calculation formula is as follows:

[0122] N AC，rooom，correct，i =N fan，rooom.i +N Qo，room.i +N Qo，correct，i (12).

[0123] Preferably, the calculation of the household-by-household per capita carbon emissions per unit time and per unit area of ​​the variable air volume central air conditioning system includes:

[0124] According to the electricity carbon emission calculation model and the corrected actual equivalent electric power of the household air conditioner, the per capita carbon emission per unit time and per unit area of ​​the variable air volume air conditioning system are calculated using formula (13) and formula (14);

[0125]

[0126] Where M CO2，person，i is the per capita carbon emission per unit time of the central air-conditioning system of the i-th office, in kg(CO2) / (person·s); λ is the baseline emission factor of the regional power grid, in kg(CO2) / kWh; num is the number of people in the office at a certain time; M CO2，area，i is the carbon emission per unit time and per unit area of ​​the central air conditioning system of the i-th office, in kg(CO2) / (m 2 ·s); S i is the office area, in m 2 .

[0127] Preferably, each office is taken as a sample, and the sample characteristics include the carbon emissions per capita per unit time and the carbon emissions per unit area caused by the office air conditioner. The carbon emission levels of the air conditioners in each office are compared, analyzed and evaluated, including:

[0128] Step 1: Data cleaning and normalization. Use the range normalization method to convert the data x_ i Center by minimum value, then by range (x_ max -x_ min ) is scaled, the data is shifted by x_ min units, are mapped to the interval [0, 1] and obey the normal distribution. The calculation formula of the range standardization method is as follows:

[0129]

[0130] Step 2, specify the number of clusters k, determine k initial cluster centers, and classify the carbon emission level into five categories, k = 5, namely, economical, relatively economical, moderate, relatively wasteful, and wasteful;

[0131] Step 3: Calculate the weighted Euclidean distance between each sample data and each center point, and cluster each sample data to the center of each center point according to the principle of being closest to the k initial class centers, forming k classifications. Different features have a weight value. The larger the weight value, the more important the feature is to the final clustering result;

[0132] Step 4: Re-determine the k class centers, calculate the mean of all sample data in each class in turn, and use the mean as the center point of each class to complete one iteration;

[0133] Step 5, determine the termination condition and whether the cluster center point has changed. If it has changed, return to step 3. Otherwise, output the result and end.

[0134] The objective function of the evaluation algorithm is:

[0135]

[0136] Subject to constraints

[0137] Among them, U represents an n×k allocation matrix, u i,l Indicates that sample i is assigned to class l; Z = {Z1, Z2, …, Z k} represents the k class center vectors; W represents the weight matrix; d(x i,j ,z l,j ) represents the distance measure or difference measure between sample i and the lth class center vector on the jth feature attribute, when the attribute is a continuous variable:

[0138] d(x i,j ,z l,j )=(x i,j -z l,j ) 2 (17)

[0139] Through this algorithm, the carbon emission levels of household air conditioners in office buildings with variable air volume air conditioning systems are classified into five categories: economical, relatively economical, moderate, relatively wasteful, and wasteful.

[0140] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A variable air volume air conditioning system office building household carbon emission measurement and assessment system, characterized in that: include: Office household air conditioning cooling / heating power and air conditioning fan electrical power calculator, multi-channel electrical power collector, water flow sensor, first water temperature sensor, second water temperature sensor, room temperature sensor, air volume sensor, south-facing solar radiation intensity wireless sensor, north-facing solar radiation intensity wireless sensor, wireless ambient temperature sensor, air handling equipment, air-water surface heat exchanger, variable frequency fan, fan inverter, variable air volume damper, office room, wireless infrared induction counter and cloud platform; Among them, the office household air conditioning cooling / heating power and air conditioning fan electric power calculator includes: a multi-input data filtering module, an analog data input interface, a first data conversion interface, a first 5G / 4G communication interface, a first memory, a carbon emission calculator, a Modbus / RS485 communication interface, and a first power supply; The office household air conditioner cooling / heating power and air conditioner fan electric power calculator calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, including: The calculation method of cooling / heating power of household air conditioner is as follows: Assume that the j-th multi-zone variable air volume air conditioning system corresponding to the office household air conditioning cooling / heating power and air conditioning fan electric power calculator bears the air conditioning load of n independent offices. The air supply volume of these independent offices can be measured by the air volume sensor, which is recorded as G a，1 , G a，2 ,......G a，n , then the air conditioning cooling / heating power consumed by the i-th independent office is Q o，room，i (Unit: W) is calculated by the following formula: In the formula, C w is the specific heat of water, the unit is J / (kg·℃), the value is 4200; G w，in is the air conditioning cold / hot water inlet flow rate of the air-water surface heat exchanger, in kg / s, measured by the water flow sensor; t w，in is the air conditioning cold / hot water inlet temperature of the air-water surface heat exchanger, in °C, measured by the first water temperature sensor; t w，out The outlet water temperature of the air-water surface heat exchanger is the outlet water temperature of the air-water surface heat exchanger, in °C, measured by the second water temperature sensor; The calculation method of the fan power of household air conditioner is as follows: The operating power of the variable frequency fan obtained by the Modbus / RS485 communication interface is N AHUfan , then the air conditioning fan power consumed by the i-th office is N fan，room，i (Unit: W) is calculated by the following formula: The multi-channel electric power collector includes: a multi-channel Modbus / RS485 communication interface, a second power supply, a second data conversion interface, a second 5G / 4G communication interface, a second memory, and an electric quantity calculator; An air-water surface heat exchanger and a variable frequency fan are installed in an air handling device. The air-water surface heat exchanger is located at the air inlet of the variable frequency fan. The fan inverter is connected to the variable frequency fan. A variable air volume valve is installed in each office room. The air handling device is connected to a plurality of variable air volume valves through an air duct. The indoor temperature of the office room is controlled by adjusting the opening of the variable air volume valve. An air volume sensor is installed at the air inlet of the variable air volume valve. A room temperature sensor is installed at an appropriate position in the office room. A first water temperature sensor and a water flow sensor are placed at the water inlet pipe of the air-water surface heat exchanger. A second water temperature sensor is placed at the water outlet pipe of the air-water surface heat exchanger. The data input ports of the multi-input data filtering module are respectively connected to the water flow sensor, the first water temperature sensor, and the second The water temperature sensor, room temperature sensor and air volume sensor are connected, the Modbus / RS485 communication interface is connected to the corresponding communication interface of the fan inverter, and the multiple Modbus / RS485 communication interfaces are respectively connected to the communication interfaces of the electric meters corresponding to the cold / heat source power equipment of the air conditioner. The wireless infrared induction counter is installed at the entrance and exit of the office, the south-facing solar radiation intensity wireless sensor and the north-facing solar radiation intensity wireless sensor are respectively installed on the south wall and north wall of the top floor of the office building, and the wireless ambient temperature sensor is installed in the air inlet duct of the fresh air system of the office building or other ventilated and cool places. The south-facing solar radiation intensity wireless sensor, the north-facing solar radiation intensity wireless sensor and the wireless ambient temperature sensor are connected to the cloud platform through wireless data protocols; The cloud platform scientifically calculates and reasonably evaluates and analyzes the carbon emission levels of the central air conditioning systems of each office in the office building based on the relevant data transmitted by the office household air conditioning cooling / heating power and air conditioning fan electric power calculator, the multi-channel electric power collector, the south-facing solar radiation intensity wireless sensor, the north-facing solar radiation intensity wireless sensor and the wireless ambient temperature sensor; The scientific calculation and reasonable assessment and analysis of the carbon emission levels of the central air conditioning systems of each office in the office building include: Calculation of actual equivalent electric power of office household air conditioners; The calculation of the actual equivalent electric power of the office household air conditioner includes: assuming that there are m multi-zone variable air volume air conditioning systems in the entire office building, the air conditioning cooling / heating power Q consumed by the i-th independent office in the j-th multi-zone variable air volume air conditioning system is o，room，i (Unit: W) is converted into equivalent electric power N according to the following formula Qo，room，i (Unit: W): Among them, N sys,total The total operating power of the air conditioning cold / heat source system; The actual equivalent power N of the air conditioner in the i-th office AC，room，i Calculated by the following formula: N AC，room，i =N fan，room，i +N Qo，room，i (4) Correct the actual equivalent electric power of office household air conditioners; The correction of the actual equivalent electric power of the office household air conditioner includes: Calculate the air conditioning cooling / heating load generated by the office exterior envelope structure; Taking the air conditioning cooling load calculation as an example, the air conditioning cooling load CL generated by the office exterior envelope structure includes the heat transmitted through the envelope structure and the solar radiation heat transmitted through the transparent envelope structure. The air conditioning cooling load CL generated by the outer wall of the i-th office Extwall，i and the air conditioning cooling load CL generated by the exterior windows Extwindow，i Calculated by formula (5) and formula (6) respectively: CL Extwall，i =K rwall ·F rwall，i ·(t Extwall，z -t indoor，i ) (5) CL Extwindow，i =K rwindow ·F rwindow，i ·(t Extwindow，z -t indoor，i ) +Y z F rwindow，i I solar (6) Where N rwall is the total heat transfer coefficient of the exterior wall, in W / (m 2 ℃); K rwindow is the total heat transfer coefficient of the exterior window, the unit is W / (m 2 ℃); F rwall，i is the outer wall area of ​​the i-th office, in m 2 ; F rwindow，i is the area of ​​the exterior window of the i-th office, in m 2 ;t indoor，i is the indoor air temperature of the i-th office, in °C, measured by the room temperature sensor; t Extwall，z is the integrated temperature of the exterior wall surface, in °C, calculated by formula (7); Extwindow，z is the integrated temperature of the outer surface of the exterior window, in °C, calculated by formula (8); z is the comprehensive shielding coefficient of the exterior window, which is related to the transmittance of the glass and takes a value of 0.6-0.8; I solar is the solar radiation intensity, the unit is W / m 2 , measured by the south-facing solar radiation intensity wireless sensor or the north-facing solar radiation intensity wireless sensor; The comprehensive temperature of the building's exterior wall surface Extwall，z The calculation formula is as follows: Where, t env，a is the outdoor ambient air temperature of the office building, in °C, measured by the wireless ambient temperature sensor; σ Extwall is the absorption coefficient of solar radiation on the outer surface of the wall; a Extwall is the heat release coefficient of the outer surface of the wall, the unit is W / (m 2 .℃); The comprehensive temperature of the exterior surface of the building window t Extwindow，z The calculation formula is as follows: In the formula, σ Extwindow is the absorption coefficient of solar radiation on the outer surface of the window; a Extwindow is the heat release coefficient of the window outer surface, the unit is W / (m 2 .℃); According to the previous assumption, the number of offices in the entire office building is: m×n, then the average cooling load of the air conditioning generated by the exterior wall of the entire building is The average cooling load of the air conditioning generated by the exterior windows of the entire building is Then the actual equivalent power correction value N of the household air conditioner in the i-th office is Qo，correct，i (Unit: W) The calculation formula is as follows: In this way, the actual equivalent power N of the corrected air conditioner in the i-th office is AC，room，correct，i (Unit: W) The calculation formula is as follows: N AC，room，correct，i =N fan，room.i +N Qo，room.i +N Qo，correct，i (12) According to the electricity carbon emission calculation model and the actual equivalent electric power of the corrected office household air conditioners, the household carbon emission of the central air conditioning system is determined, and the per capita carbon emission per unit time and per unit area of ​​the variable air volume central air conditioning system are calculated; Taking each office as a sample, the sample characteristics include per capita carbon emissions per unit time and carbon emissions per unit area caused by office air conditioning. The carbon emission levels of air conditioners in each office are compared, analyzed and evaluated.

2. According to claim 1, a variable air volume air conditioning system office building household carbon emission measurement and assessment system is characterized in that: The multi-input data filtering module is used for filtering and processing various physical analog data signals, the analog data input interface is used for data signal import, the Modbus / RS485 communication interface is used for importing the operating electric power signal of the variable frequency fan, and the multi-channel Modbus / RS485 communication interface is used for importing the real-time operating electric power signal of each power equipment of the air-conditioning cold / heat source. The first data conversion interface and the second data conversion interface convert various data signals into 5G / 4G communication signals, and the first 5G / 4G communication interface and the second 5G / 4G communication interface send the data signal to the cloud platform. The first memory is used to store the office household air-conditioning cold / heat power and air-conditioning fan electric power calculation program, and the second memory is used to store the superposition calculation program of the real-time power of multiple devices. The first power supply and the second power supply The cooling / heating power and air conditioning fan electric power calculator of the office household air conditioner and the multi-channel electric power collector are powered respectively; the water flow sensor, the first water temperature sensor and the second water temperature sensor respectively monitor the air-water surface heat exchanger air conditioning water supply flow, water inlet temperature and water outlet temperature; the room temperature sensor is used to monitor the indoor temperature; the air volume sensor is used to monitor the air supply volume of each office air conditioner; the south-facing solar radiation intensity wireless sensor and the north-facing solar radiation intensity wireless sensor respectively monitor the south-facing solar radiation intensity and north-facing solar radiation intensity of the office building; the wireless ambient temperature sensor is used to monitor the outdoor ambient temperature of the office building; the wireless infrared induction counter is used to measure the number of people working on-site in the office; and the cloud platform is used to calculate and evaluate the carbon emission level of the centralized air conditioning system of each office in the office building.

3. According to claim 2, a variable air volume air conditioning system office building household carbon emission measurement and assessment system is characterized in that: The office household air conditioner cooling / heating power and air conditioner fan electric power calculator calculates the office household air conditioner cooling / heating power and air conditioner air supply electric power according to the obtained air conditioning system operation information, and transmits the calculated office household air conditioner cooling / heating power and air conditioner air supply electric power to the cloud platform through the 5G / 4G data gateway; The multi-channel power collector collects the operating power of the air conditioning cold / heat source system chiller, cooling water pump, cooling tower and freezing water pump respectively, and then adds the operating power of these power equipment to obtain the total operating power N of the air conditioning cold / heat source system. sys，total (Unit: W), and transmit the total operating power of the air conditioning cold / heat source system to the cloud platform through the 5G / 4G data gateway; The solar radiation intensity values ​​on the south and north sides of the office building obtained by the south-facing solar radiation intensity wireless sensor and the north-facing solar radiation intensity wireless sensor, the number of on-site office workers in each office obtained by the wireless infrared sensing counter, and the outdoor ambient temperature of the office building obtained by the wireless ambient temperature sensor are all uploaded to the cloud platform via a wireless communication protocol.

4. According to claim 1, a variable air volume air conditioning system office building household carbon emission measurement and assessment system is characterized in that: The calculation of the per capita carbon emissions per household per unit time and per unit area of ​​the variable air volume central air conditioning system includes: According to the electricity carbon emission calculation model and the modified household air conditioner equivalent electric power, the variable air volume air conditioning system per capita carbon emission per unit time and per unit area carbon emission per household are calculated using formula (13) and formula (14); Where M CO2，person，i is the per capita carbon emission per unit time of the central air-conditioning system of the i-th office, in kg(CO2) / (person·s); λ is the baseline emission factor of the regional power grid, in kg(CO2) / kWh; num is the number of people in the office at a certain time; M CO2，area，i is the carbon emission per unit time and per unit area of ​​the central air conditioning system of the i-th office, in kg(CO2) / (m 2 ·s); S i is the office area, in m 2 .

5. According to claim 1, a variable air volume air conditioning system office building household carbon emission measurement and assessment system is characterized in that: Each office is taken as a sample. The sample characteristics include the per capita carbon emissions per unit time and per unit area caused by office air conditioning. The carbon emission levels of air conditioners in each office are compared, analyzed and evaluated, including: Step 1: Different dimensions of each feature will affect the accuracy of the clustering results. The data needs to be normalized. The range normalization method is used to normalize the data x_ i Center by minimum value, then by range (x_ max -x_ min ) is scaled, the data is shifted by x_ min units, are mapped to the interval [0,1] and obey the normal distribution. The calculation formula of the range standardization method is as follows: In the formula, x_ max is the maximum value in the sample data, x_ min is the minimum value in the sample data; Step 2: Use standard deviation to calculate the sample set X = (x1, x2, ..., x n ) in each sample x_ i The discrete degree of the feature, thereby determining the feature weight ω of the r-dimensional data r The larger the weight value, the more important the feature is to the final clustering result, that is: In the formula, For sample x i The average value of r-dimensional data; Step 3, specify the number of clusters k, according to the five categories of carbon emission levels: economical, relatively economical, moderate, relatively wasteful, and wasteful, then k is 5, and k initial cluster centers are randomly selected; Step 4: Calculate the weighted Euclidean distance between each sample data and each center point respectively, and cluster each sample data to the class center where each center point is located according to the principle of being closest to the k initial class centers, forming k classifications, and calculate the Euclidean distance between the i-th observation data and the j-th observation data, that is: Where, i = 1, 2, ..., n; j = 1, 2, ..., n; ω r is the weight corresponding to the rth feature; Step 5, re-determine the centers of k classes: calculate the mean of all sample data contained in each class of the k classes in turn, and use this mean as the new center point of each class to complete one iteration; Step 6, determine the termination condition: determine whether the cluster center point has changed. If so, return to step 4. Otherwise, output the result and end. Through the algorithm, the rooms in the office building with variable air volume air conditioning system are classified into five categories according to the carbon emission level of air conditioning: economical, relatively economical, moderate, relatively wasteful, and wasteful.

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