A method for calculating carbon emission intensity of gas stations based on motor vehicle commuting travel

Abstract

The present invention discloses a method for calculating the carbon emission intensity of gas stations based on motor vehicle commuting. It belongs to the fields of green building, transportation and building industrialization; the specific steps are: 1. Determine the research object and obtain the characteristic data of urban motor vehicle commuting activities; 2. Calculate the fuel demand based on motor vehicle commuting; 3. Obtain the characteristic data of gas stations, complete the user selection and shortest path allocation of gas stations; 4. Calculate the traffic carbon emissions of gas stations; 5. Calculate the construction and operation carbon emissions of gas stations; 6. Determine the calculation results of the carbon emission intensity index of urban gas stations. The present invention can improve the energy efficiency of facilities, reduce carbon emission intensity, and provide a basis for changing the planning and spatial design methods of typical urban energy facilities, and changing from traditional function-oriented to carbon control system planning methods under low-carbon goals, and provide technical support for the large-scale, high-efficiency and sustainable development of green buildings and building industrialization.

Description

Technical Field

[0001] The present invention relates to a method for calculating the carbon emission intensity of a gas station based on motor vehicle commuting travel, and in particular to a method for calculating the carbon emission intensity of a gas station based on motor vehicle commuting travel. Background Art

[0002] The potential for low-carbon development in cities and towns is huge and the demand is urgent. Guiding low-carbon development in cities and towns is conducive to the Paris Agreement.

[0003] It is of great significance for China to carry out low-carbon deployment on an economy-wide scale. Taking low-carbon-oriented urban spatial planning as an important way to reduce emissions through structural adjustment and reasonably determining structural goals should become an important means of controlling carbon emissions. As an indispensable supporting facility for road traffic, gas stations are also important energy supply facilities in the era of motor vehicle traffic, with the triple attributes of transportation, energy and dangerous facilities. The planning, construction and carbon emission calculation of such facilities often ignore their relevance to motor vehicle traffic, and usually only consider the direct carbon emissions of facilities during the construction and operation stages, without considering the traffic carbon emissions generated by motor vehicles during the use and implementation process. Therefore, with low-carbon development as the core concept and the improvement of human settlement environment as the ultimate goal, starting from the needs of transportation development, combined with the grades and different levels of needs of gas stations, this paper explores the typical characteristics of carbon emissions of gas stations, constructs the measurement model and calculation method of carbon emission intensity indicators of urban gas stations, and then provides an important basis for cities to explore the means of reducing and controlling carbon emissions from the energy facility level. Summary of the invention

[0004] In response to the above problems, the present invention provides a method for calculating the carbon emission intensity of gas stations based on motor vehicle commuting. The method takes urban gas stations as the research object, starts from the needs of transportation development, is based on the characteristics of urban motor vehicle commuting, and combines the grades of gas stations and different levels of fuel demand. By calculating the direct carbon emissions and transportation carbon emissions during the construction and operation stages of gas stations, it explores the typical characteristics of carbon emissions at urban gas stations, quantifies the carbon emission intensity, and constructs a measurement model and calculation method for the carbon emission intensity of urban gas stations. This can provide important theoretical reference and practical basis for cities and towns to explore carbon control measures and implement emission reduction paths.

[0005] The technical solution of the present invention is: a method for calculating the carbon emission intensity of a gas station based on motor vehicle commuting, and the specific steps include the following:

[0006] Step (1.1), determine the research object and obtain the characteristic data of urban motor vehicle commuting travel activities;

[0007] Step (1.2), calculating the fuel demand based on motor vehicle commuting;

[0008] Step (1.3), obtain gas station characteristic data, complete gas station user selection and shortest path allocation;

[0009] Step (1.4), calculate the carbon emissions of gas station transportation;

[0010] Step (1.5), calculate the carbon emissions from the construction and operation of the gas station;

[0011] Step (1.6), determine the calculation results of the carbon emission intensity index of urban gas stations.

[0012] Furthermore, in the step (1.1),

[0013] (1.1.1) The research object is the carbon emission intensity index of urban gas stations. The carbon emission intensity index of gas stations refers to the evaluation index calculated based on the carbon emissions generated by energy facilities in the city, which is used to measure the carbon emission level of urban energy facilities. The evaluation index calculated based on the carbon emissions generated by energy facilities includes the average single station construction and operation carbon emissions x1 and unit fuel transportation carbon emissions x22 indicators;

[0014] (1.1.2) The acquisition of urban motor vehicle commuting travel activity characteristic data refers to obtaining the total number of urban travelers, the annual number of trips, the annual average travel distance, and the longitude and latitude of the home and workplace of all travelers through a resident travel survey;

[0015] The characteristic data include the total number of travelers surveyed n, the annual number of trips of the i-th traveler f i , annual average travel distance d i 、Home longitude and latitude(l i1 , b i1 ) and the latitude and longitude of the work location (l i2 , b i2 ).

[0016] Furthermore, in step (1.2), the fuel demand D of the i-th traveler based on motor vehicle commuting is i Calculated by the following formula:

[0017] D i =f i ·d i ·v i ·ρ·10 -2

[0018] Where: v i represents the fuel consumption per 100 kilometers of the motor vehicle of the i-th traveler, ρ represents the gasoline density (kg / L), which is 0.74kg / L.

[0019] Furthermore, in the step (1.3), the gas station characteristic data obtained specifically includes the total number of gas stations in the town m, the longitude and latitude of the jth gas station location (l j1 , b j1 );

[0020] The specific operation steps of the gas station user selection and shortest path allocation are as follows:

[0021] (1.3.1), calculate the distance between the residence of the i-th traveler's family and the m gas stations;

[0022] (1.3.2) The fuel demand of travelers Assign to the nearest gas station k i1 ;

[0023] (1.3.3) Calculate the distance between the i-th traveler’s workplace and the m gas stations;

[0024] (1.3.4) The fuel demand of travelers Assign to the nearest gas station k i2 ;

[0025] (1.3.5) After allocating the fuel demands of all travelers, multiply all the fuel demands allocated to the jth gas station by the expansion rate k y Then sum up and get the fuel supply S of the gas station j ;

[0026] The distance between the family residence, workplace and gas station is calculated by the following formula:

[0027] d ij =6371·arccos((sin b i ·sin b j1 )+(cos b i ·cos b j1 ·cos(l i -l j1 )))

[0028]

[0029] in:

[0030] d ij Indicates the straight-line distance between two points (km). When l i = l i1 , b i =b i1 , is the distance between the home residence of the i-th traveler and the j-th gas station; when l i = l i2 , b i=b i2 , is the distance between the workplace of the i-th traveler and the j-th gas station;

[0031] (l j1 , b j1 ) represents the longitude and latitude of the j-th gas station location;

[0032] k y It represents the sampling rate, which is the inverse of the sampling rate;

[0033] N represents the total number of travelers sampled (persons);

[0034] n represents the total population of the town (people).

[0035] Furthermore, in step (1.4), the gas station traffic carbon emissions are calculated using the following formula:

[0036] E ij =c0k y rad ij

[0037]

[0038] in:

[0039] E ij represents the transportation carbon emissions (g) generated by the i-th traveler refueling at the j-th gas station;

[0040] E trafficj represents the total amount of transportation carbon emissions generated by the jth gas station (g);

[0041] c0 represents the carbon emission per unit distance traveled by the traveler’s motor vehicle (g / km), which is 169.89;

[0042] r represents the nonlinear coefficient of urban roads, which is 1.2;

[0043] a represents the annual number of times a traveler refuels at the jth gas station.

[0044] Furthermore, in step (1.5), the carbon emissions from the construction and operation of the gas station are calculated using the following formula:

[0045]

[0046] in:

[0047] E buildj represents the total carbon emissions generated by the construction and operation of the jth gas station (t / year);

[0048] s represents the status of the jth gas station. If the gas station is already built, s=0; if the gas station is newly built, s=1.

[0049] Furthermore, in step (1.6), the average single-station construction and operation carbon emission x1 in the urban gas station carbon emission intensity index is calculated by the following formula:

[0050]

[0051] The indicator unit fuel volume transportation carbon emissions x2 is calculated by the following formula:

[0052]

[0053] in:

[0054] x1 represents the average carbon emissions from construction and operation of a single station (t / year·station);

[0055] x2 represents the traffic carbon emission per unit fuel volume (g / kg);

[0056] represents the sum of the carbon emissions from the construction and operation of all gas stations in the town (g);

[0057] represents the sum of transportation carbon emissions of all gas stations in a town (t);

[0058] It represents the sum of fuel supply of all gas stations in the town (kg).

[0059] The beneficial effects of the present invention are as follows: the present invention takes urban gas stations as the research object, and in the absence of data such as the area occupied by gas stations and annual fuel sales, based on the survey of residents' travel and the current status of motor vehicle ownership, obtains the commuting travel characteristics of urban residents' motor vehicles and the fuel demand of motor vehicles, calculates the carbon emissions per unit of fuel at the gas station after demand allocation, and then calculates the carbon emission intensity index of the gas station based on the calculation results of the carbon emissions in the construction and operation stage of the gas station, thereby constructing a complete calculation process for the carbon emission intensity index of urban gas stations. The present invention targets the needs of my country's new urbanization construction, and aims at the problems of land saving, energy saving and low carbon in the construction and operation of energy facilities in my country's current construction field, so as to improve the energy efficiency of facilities and reduce carbon emission intensity, and provide a basis for changing the planning and spatial design methods of typical urban energy facilities, and changing from the traditional function-oriented to the carbon control system planning method under the low-carbon goal, and provide technical support for my country's green buildings and building industrialization to achieve large-scale, high-efficiency and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a structural flow chart of the present invention;

[0061] Figure 2 is a schematic diagram of the work and home locations and gas station locations of travelers in an embodiment of the present invention;

[0062] Figure 3 4 is a graph showing the calculation results of carbon emissions of a single gas station in an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0064] The present invention provides a method for calculating the carbon emission intensity of gas stations based on motor vehicle commuting. The method takes urban gas stations as the research object, starting from the needs of transportation development, based on the characteristics of urban motor vehicle commuting, and combining the grades of gas stations and different levels of fuel demand, by calculating the direct carbon emissions and transportation carbon emissions during the construction and operation stages of gas stations, exploring the typical characteristics of carbon emissions at urban gas stations, quantifying the carbon emission intensity, and constructing a measurement model and calculation method for the carbon emission intensity of urban gas stations, which can provide important theoretical references and practical basis for cities to explore carbon control methods and implement emission reduction paths. The method in this invention is used to further illustrate the present invention in combination with specific embodiments. A method for calculating the carbon emission intensity of gas stations based on motor vehicle commuting, comprising the following steps:

[0065] A method for calculating carbon emission intensity of gas stations based on motor vehicle commuting travel; the specific steps include the following:

[0066] Step (1.1), determine the research object and obtain the characteristic data of urban motor vehicle commuting travel activities;

[0067] The present invention explores a calculation method for carbon emission intensity indicators for urban gas stations. The characteristic data of motor vehicle commuting travel activities related to the workplace and family residence include: motor vehicle travel frequency, travel distance, longitude and latitude of the home and workplace, etc.;

[0068] Among them, the research object is the carbon emission intensity index of gas stations in towns.

[0069] The gas station carbon emission intensity index refers to an evaluation index calculated based on the carbon emissions generated by energy facilities in a town, which is used to measure the carbon emission level of energy facilities in the town.

[0070] Among them, the average single station construction and operation carbon emissions x1 and unit fuel volume transportation carbon emissions x22 indicators evaluate the carbon emission intensity of gas stations in towns;

[0071] The acquisition of the characteristic data of urban motor vehicle commuting travel activities is to obtain the annual number of trips, annual average travel distance, and longitude and latitude of home and workplace of urban travelers through a resident travel survey;

[0072] The characteristic data include the total number of travelers surveyed n, the annual number of trips of the i-th traveler f i , annual average travel distance d i 、Home latitude and longitude (l i1 , b i1 ) and the latitude and longitude of the work location (l i2 , b i2 );

[0073] In this embodiment, a gas station in a certain city in a certain province is selected as the research object, and the annual travel frequency, annual average travel distance, home longitude and latitude, and work longitude and latitude data of 726 travelers in the resident travel survey are obtained, as shown in Table 1;

[0074] Table 1: Example of data on characteristics of urban motor vehicle commuting activities

[0075]

[0076]

[0077] Step (1.2), calculating the fuel demand based on motor vehicle commuting;

[0078] Based on the vehicle registration information of the traffic management department, obtain the information of urban motor vehicles, including: vehicle type, displacement, total mass, curb weight, verified passenger capacity, fuel type, etc.; obtain the fuel consumption per 100 kilometers of each type of motor vehicle, calculate the total fuel demand of travelers, and use the workplace and home residence as the starting point for the allocation of fuel demand;

[0079] Among them, the fuel demand of the motor vehicle of the i-th traveler is D i Calculated by the following formula:

[0080] D i =f i ·d i ·v i ·ρ·10 -2

[0081] Where: v i - The fuel consumption per 100 kilometers (L / 100km) of the motor vehicle of the i-th traveler; obtained by looking up the table based on the "GB 19578-2014 Passenger Car Fuel Consumption Limit Standard" according to the vehicle type, displacement, gross mass, and curb weight of the motor vehicle;

[0082] ρ represents the density of gasoline (kg / L), and the density of gasoline in the present invention is selected as 0.74 kg / L;

[0083] The calculation results of the fuel demand for commuting trips of the 726 travelers surveyed are shown in Table 2;

[0084] Table 2: Schematic diagram of fuel demand for commuting trips for urban travelers

[0085]

[0086]

[0087] Step (1.3), obtain gas station characteristic data, complete gas station user selection and shortest path allocation;

[0088] The spatial layout of gas stations is an important facility supply feature and the main factor affecting the construction and operation carbon emissions of facilities and transportation carbon emissions. The longitude and latitude information of urban gas stations is obtained, and a distance matrix from the two demand starting points of work and home residence to all gas stations is established. Based on the shortest path allocation theory, the results of gas station user selection and demand allocation are obtained.

[0089] The gas station characteristic data obtained specifically includes the total number of gas stations in the town m, the longitude and latitude of the jth gas station location (l j1 , b j1 );

[0090] The specific operation steps of the gas station user selection and shortest path allocation are as follows:

[0091] (1.3.1), calculate the distance between the residence of the i-th traveler's family and the m gas stations;

[0092] (1.3.2) The fuel demand of travelers Assign to the nearest gas station k i1 ;

[0093] (1.3.3) Calculate the distance between the i-th traveler’s workplace and the m gas stations;

[0094] (1.3.4) The fuel demand of travelers Assign to the nearest gas station k i2 ;

[0095] (1.3.5) After allocating the fuel demands of all travelers, multiply all the fuel demands allocated to the jth gas station by the expansion rate k y Then sum up and get the fuel supply S of the gas station j ;

[0096] In this embodiment, the longitude and latitude of 31 gas stations in a county are obtained, as shown in Table 3;

[0097] Table 3: Latitude and longitude data table of a gas station in a certain county

[0098]

[0099] In addition, based on the shortest path allocation theory, the user selection and shortest path allocation of gas stations are completed; among them, the distance between the family residence, workplace and gas station is calculated by the following formula:

[0100] d ij =6371·arccos((sin b i ·sin b j1 )+(cos b i ·cos b j1 ·cos(l i -l j1 )))

[0101]

[0102] Where: d ij Indicates the straight-line distance between two points (km). When l i = l i1 , b i =b i1 , is the distance between the home residence of the i-th traveler and the j-th gas station; when l i = l i2 , b i =b i2 , is the distance between the workplace of the i-th traveler and the j-th gas station;

[0103] (l j1 , b j1 ) represents the longitude and latitude of the j-th gas station location;

[0104] k y It represents the sampling rate, which is the inverse of the sampling rate;

[0105] N represents the total number of travelers sampled (persons);

[0106] n represents the total population of the town (people);

[0107] In a specific embodiment, the surveyed number of travelers in a certain county is 726, and the permanent population is 415,480. Then:

[0108]

[0109] Table 4: Example table of distance matrix between travelers and gas stations

[0110]

[0111] Table 5: Calculation results of fuel supply at gas stations after allocation

[0112]

[0113] Step (1.4), calculate the carbon emissions of gas station transportation;

[0114] The transportation carbon emissions of gas stations are mainly generated by trips for the purpose of refueling. The transportation carbon emissions of gas stations are calculated by multiplying the annual number of refueling, the travel distance generated by refueling, the transportation carbon emissions per unit distance, and the average non-linear coefficient of the county road.

[0115] Among them, the carbon emissions from gas station transportation are calculated using the following formula:

[0116] E ij =c0k y rad ij

[0117]

[0118] in:

[0119] E ij represents the transportation carbon emissions (g) generated by the i-th traveler refueling at the j-th gas station;

[0120] E trafficj represents the total amount of transportation carbon emissions generated by the jth gas station (g);

[0121] c0 represents the carbon emission per unit distance traveled by the traveler’s motor vehicle (g / km), which is 169.89;

[0122] r represents the nonlinear coefficient of urban roads, which is 1.2;

[0123] a represents the number of times a traveler refuels at the jth gas station per year (times);

[0124] Table 6: Calculation results of gas station transportation carbon emissions

[0125]

[0126] Step (1.5), calculate the carbon emissions from the construction and operation of the gas station;

[0127] The main carbon emissions of gas stations are construction and operation carbon emissions. The demand for gas stations can be obtained from the gas station demand allocation result in step (1.3), and then the gas station level can be determined. The construction and operation carbon emissions of gas stations can be obtained according to the calculation formula;

[0128] Among them, the carbon emissions from gas station construction and operation are calculated using the following formula:

[0129]

[0130] in:

[0131] E buildjrepresents the total carbon emissions generated by the construction and operation of the jth gas station (t / year);

[0132] s represents the status of the jth gas station. If the gas station is already built, s=0; if the gas station is newly built, s=1;

[0133] Table 7: Calculation results of carbon emissions from gas station construction and operation

[0134]

[0135] Step (1.6), determine the calculation results of the carbon emission intensity index of urban gas stations;

[0136] Based on the calculation results of gas station transportation carbon emissions in step (1.4) and construction and operation carbon emissions in step (1.5), the carbon emission intensity of urban gas stations is measured using two indicators: transportation carbon emissions per unit of fuel and average single-station construction and operation carbon emissions;

[0137] Among them, the average single-station construction and operation carbon emission x1 in the urban gas station carbon emission intensity index is calculated by the following formula:

[0138]

[0139] The indicator unit fuel volume transportation carbon emissions x2 is calculated by the following formula:

[0140] The indicator unit fuel volume transportation carbon emissions x2 is calculated by the following formula:

[0141]

[0142] Where: x1 represents the average single-station construction and operation carbon emissions (t / year·station).

[0143] x2 represents the traffic carbon emission per unit fuel volume (g / kg).

[0144] represents the sum of the carbon emissions from the construction and operation of all gas stations in the town (g);

[0145] represents the sum of transportation carbon emissions of all gas stations in a town (t);

[0146] It represents the sum of fuel supply of all gas stations in the town (kg).

[0147] Combining the above steps, we can finally calculate the result of the carbon emission intensity index of a certain county. The average single-station construction and operation carbon emissions x1 is 9.52 tons / (station·year), and the unit fuel transportation carbon emissions x2 is 4.76g / kg; that is to say, in this example, the average annual construction and operation carbon emissions generated by a gas station in a certain county is 9.52 tons, and the transportation carbon emissions generated by the unit fuel volume of a gas station service in a certain county is 4.76g / kg, or 4.76kg / ton.

Claims

1. A method for calculating carbon emission intensity of gas stations based on motor vehicle commuting, characterized in that: The specific steps include the following: Step (1.1), determine the research object and obtain the characteristic data of urban motor vehicle commuting travel activities; (1.1.1) The research object is the carbon emission intensity index of urban gas stations. The carbon emission intensity index of gas stations refers to the evaluation index calculated based on the carbon emissions generated by energy facilities in the city, which is used to measure the carbon emission level of urban energy facilities. The evaluation index calculated based on the carbon emissions generated by energy facilities includes the average single station construction and operation carbon emissions x1 and unit fuel transportation carbon emissions x22 indicators; (1.1.2) The acquisition of urban motor vehicle commuting travel activity characteristic data refers to obtaining the total number of urban travelers, the annual number of trips, the annual average travel distance, and the longitude and latitude of the home and workplace of all travelers through a resident travel survey; The characteristic data include the total number of travelers surveyed n, the annual number of trips of the i-th traveler f i , annual average travel distance d i 、Home longitude and latitude(l i1 , b i1 ) and the latitude and longitude of the work location (l i2 , b i2 ); Among them, the fuel demand D of the i-th traveler based on motor vehicle commuting travel is i Calculated by the following formula: D i =f i ·d i ·v i ·p·10 -2 Where: v i represents the fuel consumption per 100 kilometers of the motor vehicle of the i-th traveler, ρ represents the gasoline density (kg / L), which is 0.74kg / L; Step (1.2), calculating the fuel demand based on motor vehicle commuting; Step (1.3), obtain gas station characteristic data, complete gas station user selection and shortest path allocation; The gas station characteristic data obtained specifically includes the total number of gas stations in the town m, the longitude and latitude of the jth gas station location (l j1 , b j1 ); The specific operation steps of the gas station user selection and shortest path allocation are as follows: (1.3.1), calculate the distance between the residence of the i-th traveler's family and the m gas stations; (1.3.2) The fuel demand of travelers Assign to the nearest gas station k i1 ; (1.3.3) Calculate the distance between the i-th traveler’s workplace and the m gas stations; (1.3.4) The fuel demand of travelers Assign to the nearest gas station k i2 ; (1.3.5) After allocating the fuel demands of all travelers, multiply all the fuel demands allocated to the jth gas station by the expansion rate k y Then sum up and get the fuel supply S of the gas station j ; The distance between the family residence, workplace and gas station is calculated by the following formula: d j =6371·arccos((sin b i ·without b j1 )+(cos b i ·what b j1 ·what(l) i -the j1 ))) Where: d ij Indicates the straight-line distance between two points (km). When l i = l i1 , b i =b i1 , is the distance between the home residence of the i-th traveler and the j-th gas station; when l i = l i2 , b i =b i2 , is the distance between the workplace of the i-th traveler and the j-th gas station; (l j1 , b j1 ) represents the longitude and latitude of the j-th gas station location; k y It represents the sampling rate, which is the inverse of the sampling rate; N represents the total number of travelers sampled; n represents the total population of the town; Step (1.4), calculate the carbon emissions of gas station transportation; Gas station traffic carbon emissions are calculated using the following formula: E ij =c0k y wheel ij in: E ij represents the transportation carbon emissions (g) generated by the i-th traveler refueling at the j-th gas station; E trafficj represents the total amount of transportation carbon emissions generated by the jth gas station (g); c0 represents the carbon emission per unit distance traveled by the traveler’s motor vehicle (g / km), which is 169.89; r represents the nonlinear coefficient of urban roads, which is 1.2; a represents the number of times a traveler refuels at the jth gas station per year (times); Step (1.5), calculate the carbon emissions from the construction and operation of the gas station; The carbon emissions from gas station construction and operation are calculated using the following formula: Where: E buildj represents the total carbon emissions generated by the construction and operation of the jth gas station (t / year); s represents the status of the jth gas station. If the gas station is already built, s=0; if the gas station is newly built, s=1; Step (1.6), determine the calculation results of the carbon emission intensity index of urban gas stations; The average single-station construction and operation carbon emission x1 in the urban gas station carbon emission intensity index is calculated by the following formula: The indicator unit fuel volume transportation carbon emissions x2 is calculated by the following formula: in: x1 represents the average carbon emissions from construction and operation of a single station (t / year·station); x2 represents the traffic carbon emission per unit fuel volume (g / kg); represents the sum of the carbon emissions from the construction and operation of all gas stations in the town (g); represents the sum of transportation carbon emissions of all gas stations in a town (t); It represents the sum of fuel supply of all gas stations in the town (kg).

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