CN112085315A - Gas station carbon emission intensity calculation method based on motor vehicle commuting trip - Google Patents

Gas station carbon emission intensity calculation method based on motor vehicle commuting trip Download PDF

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CN112085315A
CN112085315A CN202010729391.6A CN202010729391A CN112085315A CN 112085315 A CN112085315 A CN 112085315A CN 202010729391 A CN202010729391 A CN 202010729391A CN 112085315 A CN112085315 A CN 112085315A
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陈峻
郭昊旻
岳一帆
刘子健
王卫
张贤明
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Abstract

The invention discloses a method for calculating carbon emission intensity of a gas station based on commuting travel of a motor vehicle. Belongs to the fields of green buildings, transportation and building industrialization; the method comprises the following specific steps: 1. determining a research object, and acquiring characteristic data of commuting and traveling activities of motor vehicles in cities and towns; 2. calculating the fuel oil demand based on the commuting trip of the motor vehicle; 3. acquiring the characteristic data of the gas station, and completing the selection and shortest path distribution of a gas station user; 4. calculating the carbon emission of the gas station; 5. calculating the construction and operation carbon emission of a gas station; 6. and determining a calculation result of the carbon emission intensity index of the town gas station. The method can improve facility energy efficiency, reduce carbon emission intensity, provide a basis for changing typical urban energy facility planning and space design methods, and changing from traditional function guidance to a carbon control system planning method under a low-carbon target, and provide technical support for realizing large-scale, high-benefit and sustainable development of green buildings and building industrialization.

Description

Gas station carbon emission intensity calculation method based on motor vehicle commuting trip
Technical Field
The invention relates to a method for calculating carbon emission intensity of a gas station based on motor vehicle commuting travel, in particular to a method for calculating carbon emission intensity of a gas station based on motor vehicle commuting travel.
Background
The low-carbon development of towns has huge potential and urgent demand, and the guide of the low-carbon development of towns has important significance for the development of low-carbon deployment of full economic scale in China after Paris agreement. And the urban space planning taking low carbon as the guide is taken as an important way for structure adjustment type emission reduction, and a structural target is reasonably determined, so that the urban space planning becomes an important means for controlling carbon and reducing emission. The gas station is used as an indispensable supporting facility for road traffic and an important energy supply facility in the motor vehicle traffic era, and has triple attributes of traffic, energy, dangerous facilities and the like. The planning construction and carbon emission calculation of the facilities often neglect the relevance of motor vehicle traffic, and generally only consider the direct carbon emission of the facilities in the construction and operation stage, but not consider the traffic carbon emission generated in the use and implementation process of the motor vehicles. Therefore, the method takes low-carbon development as a core concept, takes improvement of human living environment as a final target, explores typical characteristics of carbon emission of the gas stations by combining different levels of grades and requirements of the gas stations from the requirement of traffic development, constructs a metering model and a calculating method of carbon emission intensity indexes of the town gas stations, and provides important basis for seeking means for reducing and controlling carbon emission for towns from the level of energy facilities.
Disclosure of Invention
In order to solve the problems, the invention provides a method for calculating the carbon emission intensity of a gas station based on motor vehicle commuting travel, which takes a town gas station as a research object, starts from the traffic development demand, searches the typical characteristics of the carbon emission of the town gas station, quantifies the carbon emission intensity and constructs a measuring model and a calculating method of the carbon emission intensity of the town gas station by calculating the direct carbon emission and the traffic carbon emission of the gas station in the construction and operation stage based on the commuting travel characteristics of the town motor vehicle and combining different levels of the grade and the fuel demand of the gas station, and can provide important theoretical reference and practical basis for searching carbon control means and implementing emission reduction paths for towns.
The technical scheme of the invention is as follows: a method for calculating carbon emission intensity of a gas station based on commuting and traveling of a motor vehicle comprises the following specific steps:
step (1.1), determining a research object, and acquiring characteristic data of commuting and traveling activities of motor vehicles in cities and towns;
step (1.2), calculating the fuel demand based on the commuting trip of the motor vehicle;
step (1.3), acquiring the characteristic data of the gas station, and completing the selection and shortest path distribution of a gas station user;
step (1.4), calculating the carbon emission of the gas station;
step (1.5), calculating the carbon emission of construction and operation of a gas station;
and (1.6) determining a calculation result of the carbon emission intensity index of the town gas station.
Further, in the step (1.1),
(1.1.1) the determined research object is a carbon emission intensity index of a town gas station, the carbon emission intensity index of the gas station is an evaluation index calculated based on the carbon emission generated by energy facilities in a town and is used for measuring the carbon emission level of the town energy facilities, and the evaluation index calculated based on the carbon emission generated by the energy facilities comprises the average single-station construction operation carbon emission x1And carbon emissions per unit fuel quantity traffic x22 indexes;
(1.1.2) acquiring the characteristic data of the commuting and traveling activities of the urban motor vehicles means acquiring the total number of urban travelers, annual traveling times, annual average traveling distance and latitude of families and working ground tracks of all travelers through resident traveling survey;
wherein, the characteristic data comprises the total number n of surveyed travelers and the annual travel times f of the ith traveleriAverage annual travel distance diHome longitude and latitude (l)i1，bi1) And working ground warp latitude (l)i2，bi2)。
Further, in the step (1.2)In the ith traveler, the fuel demand D based on the commuting trip of the motor vehicleiCalculated by the following formula:
Di＝fi·di·vi·ρ·10-2
wherein: v. ofiThe fuel consumption per hundred kilometers of the ith traveler's automobile is shown, and rho represents the gasoline density (kg/L), and is 0.74 kg/L.
Further, in the step (1.3), the obtained gas station characteristic data specifically includes a total number m of town gas stations, and a longitude and latitude (l) of a jth gas station positionj1，bj1)；
The operation steps of the gas station user selection and shortest path distribution are as follows:
(1.3.1) calculating the distance between the home residence of the ith traveler and the m gas stations;
(1.3.2) will go out the fuel demand of the person
Figure BDA0002602518240000021
Assigned to the closest gasoline station ki1；
(1.3.3) calculating the distance between the working place of the ith traveler and the m gasoline stations;
(1.3.4) will go out the fuel demand of the person
Figure BDA0002602518240000022
Assigned to the closest gasoline station ki2；
(1.3.5) after distributing all the fuel demand of the travelers, multiplying all the fuel demand distributed to the jth gas station by the sample expansion rate kyAnd then summing to obtain the fuel supply S of the gas stationj；
The distance between the household residence, the working place and the refueling station is calculated by the following formula:
dij＝6371·arccos((sin bi·sin bj1)+(cos bi·cos bj1·cos(li-lj1)))
Figure BDA0002602518240000023
wherein:
dijrepresents the linear distance (km) between two points, when li＝li1，bi＝bi1Distance from the ith traveler's home to the jth gas station; when l isi＝li2，bi＝bi2Distance of the ith traveler from the jth gasoline station;
(lj1，bj1) A longitude and latitude representing a jth gas station location;
kyrepresents the sample expansion rate, which is the reciprocal of the sampling rate;
n represents the total number of travelers (people) to be sampled;
n represents the total population (people) of the town.
Further, in the step (1.4), the carbon emission of the service station traffic is calculated by the following formula:
Eij＝c0kyradij
Figure BDA0002602518240000031
Figure BDA0002602518240000032
wherein:
Eijrepresenting the carbon emissions (g) of the traffic generated by the fueling of the ith traveler to the jth fueling station;
Etrafficjrepresenting the total amount of carbon emissions (g) generated by the jth gas station;
c0representing the carbon emission (g/km) of a traveller motor vehicle per unit distance, 169.89;
r represents the nonlinear coefficient of the town road, and 1.2 is taken;
a represents the annual fueling times from the traveler to the jth fueling station.
Further, in the step (1.5), the carbon emission of the gas station construction operation is calculated by the following formula:
Figure BDA0002602518240000033
wherein:
Ebuildjrepresenting the total amount of construction operation carbon emission (t/year) generated by the jth gas station;
s represents the state of the jth gas station, and if the gas station is established, s is 0; if the station is new, s is 1.
Further, in the step (1.6), the average single-site construction operation carbon emission x in the carbon emission intensity index of the town gas station1Calculated by the following formula:
Figure BDA0002602518240000041
index unit fuel quantity traffic carbon emission x2Calculated by the following formula:
Figure BDA0002602518240000042
wherein:
x1represents average single station construction operating carbon emission (t/year station);
x2represents the carbon emission (g/kg) of the unit fuel quantity;
Figure BDA0002602518240000043
represents the sum (g) of the construction operating carbon emissions of all the gas stations in the town;
Figure BDA0002602518240000044
representing carbon rows of traffic to all gas stations in cities and townsSumming (t);
Figure BDA0002602518240000045
which represents the sum (kg) of the fuel supplies of all the stations in the town.
The invention has the beneficial effects that: the method takes a town gas station as a research object, under the condition that data such as occupied area, annual fuel oil sales and the like of the gas station are lost, commuting travel characteristics of motor vehicles of towns and residents and fuel oil demand of the motor vehicles are obtained based on resident travel investigation and current state of motor vehicle conservation investigation, carbon emission of unit fuel oil of the gas station is calculated after demand distribution, and then a carbon emission intensity index of the gas station is calculated according to a carbon emission calculation result in the construction and operation stage of the gas station, so that a set of complete calculation flow of the carbon emission intensity index of the town gas station is constructed. The invention aims at the requirements of novel urbanization construction in China, aims at the problems of land conservation, energy conservation, low carbon and the like in the construction and operation processes of energy facilities in the current building field in China, improves the energy efficiency of facilities, reduces the carbon emission intensity, provides a basis for changing the typical energy facility planning and space design method of cities and towns, and changing the traditional function guidance into a carbon control system planning method under the low carbon target, and provides technical support for realizing large-scale, high benefit and sustainable development of green buildings and building industrialization in China.
Drawings
FIG. 1 is a flow chart of the architecture of the present invention;
FIG. 2 is a schematic diagram of a traveler's home location and gas station location in an embodiment of the present invention;
FIG. 3 is a graph of the results of a single fueling station carbon emissions calculation in an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
the invention provides a method for calculating carbon emission intensity of a gas station based on motor vehicle commuting travel, which takes a town gas station as a research object, starts from the requirement of traffic development, is based on the characteristics of the town motor vehicle commuting travel, combines different levels of the grade and the fuel demand of the gas station, searches the typical characteristics of the carbon emission of the town gas station by calculating the direct carbon emission and the carbon emission amount of traffic in the construction and operation stage of the gas station, quantifies the carbon emission intensity, constructs a metering model and a calculating method of the carbon emission intensity of the town gas station, and can provide important theoretical reference and practical basis for finding a carbon control means and implementing an emission reduction path for towns. The invention will be further described with reference to specific embodiments using the methods of the present invention. A method for calculating carbon emission intensity of a gas station based on commuting travel of a motor vehicle comprises the following steps:
a method for calculating carbon emission intensity of a gas station based on commuting travel of a motor vehicle; the method comprises the following specific steps:
step (1.1), determining a research object, and acquiring characteristic data of commuting and traveling activities of motor vehicles in cities and towns;
the invention discloses a method for calculating carbon emission intensity indexes by exploring a town gas station, and motor vehicle commuting and traveling activity characteristic data related to a working place and a family residence place comprises the following steps: the trip frequency, the trip distance, the latitude of the family ground and the working ground, and the like of the motor vehicle;
wherein the determined research object refers to the carbon emission intensity index of the gas station in the town,
the carbon emission intensity index of the gas station is an evaluation index calculated based on the carbon emission amount generated by the energy facility in the town, and is used for measuring the carbon emission level of the energy facility in the town,
wherein the carbon emission x of the average single station construction operation1And carbon emission x of unit fuel quantity traffic22 indexes are used for evaluating the carbon emission intensity of a gas station in a town;
the step of obtaining the characteristic data of the commuting travel activities of the urban motor vehicles is to obtain the annual travel times, the annual average travel distance, the family and working ground latitude of urban travelers through resident travel survey;
wherein, the characteristic data comprises the total number n of surveyed travelers and the annual travel times f of the ith traveleriAverage annual travel distance diHome longitude and latitude (l)i1，bi1) And working ground warp latitude (l)i2，bi2)；
In the embodiment, a gas station in a certain city of a certain province is selected as a research object, and the annual trip times, annual average trip distance, family longitude and latitude and working longitude and latitude data of 726 travelers in the resident trip survey are obtained, as shown in table 1;
table 1: town motor vehicle commuting travel activity characteristic data example
Figure BDA0002602518240000051
Figure BDA0002602518240000061
Step (1.2), calculating the fuel demand based on the commuting trip of the motor vehicle;
based on vehicle registration information of a traffic management department, acquiring town motor vehicle information, comprising the following steps: vehicle type, displacement, total mass, service mass, checked number of passengers, fuel type, etc.; acquiring the hundred kilometer oil consumption of each type of motor vehicle, calculating to obtain the total fuel demand of travelers, and taking two points of a working place and a home residence place as distribution starting points of the fuel demand;
wherein the fuel demand D of the motor vehicle of the ith traveleriCalculated by the following formula:
Di＝fi·di·vi·ρ·10-2
wherein: v. ofi-fuel consumption in hundred kilometres (L/100km) of the ith traveler's vehicle; obtaining the vehicle type, the displacement, the total mass and the servicing quality of the motor vehicle by looking up a table based on the GB 19578-;
rho represents the gasoline density (kg/L), and the gasoline density is 0.74 kg/L;
the results of the calculation of the fuel demand for the commuting trip of the surveyed 726 named row are shown in table 2;
table 2: schematic diagram of fuel oil demand of commuting trip of urban travelers
Figure BDA0002602518240000062
Figure BDA0002602518240000071
Step (1.3), acquiring the characteristic data of the gas station, and completing the selection and shortest path distribution of a gas station user;
the spatial layout of the gas station is an important facility supply characteristic and is a main factor influencing the construction, operation and traffic carbon emission of the facility; acquiring longitude and latitude information of town gas stations, establishing a distance matrix from two required starting points of a workplace and a family residence to all the gas stations, and acquiring results of selection and required distribution of gas station users based on a shortest path distribution theory;
the obtained gas station characteristic data specifically comprises the total number m of town gas stations and the longitude and latitude (l) of the jth gas station positionj1，bj1)；
The operation steps of the gas station user selection and shortest path distribution are as follows:
(1.3.1) calculating the distance between the home residence of the ith traveler and the m gas stations;
(1.3.2) will go out the fuel demand of the person
Figure BDA0002602518240000072
Assigned to the closest gasoline station ki1；
(1.3.3) calculating the distance between the working place of the ith traveler and the m gasoline stations;
(1.3.4) will go out the fuel demand of the person
Figure BDA0002602518240000073
Assigned to the closest gasoline station ki2；
(1.3.5) after all the fuel oil demand of the travelers is distributed, the travelers will be provided with fuel oil demandAll fuel demand allocated to the jth gasoline station is multiplied by the sample expansion rate kyAnd then summing to obtain the fuel supply S of the gas stationj；
In this embodiment, longitude and latitude of 31 gas stations in a certain county are obtained, as shown in table 3;
table 3: longitude and latitude data table of gas station in certain county
Figure BDA0002602518240000081
In addition, based on the shortest distribution theory, the selection and shortest distribution of the gas station user are completed; wherein, the distance between the household residence place, the working place and the refueling station is calculated by the following formula:
dij＝6371·arccos((sin bi·sin bj1)+(cosbi·cos bj1·cos(li-lj1)))
Figure BDA0002602518240000082
wherein: dijRepresents the linear distance (km) between two points, when li＝li1，bi＝bi1Distance from the ith traveler's home to the jth gas station; when l isi＝li2，bi＝bi2Distance of the ith traveler from the jth gasoline station;
(lj1，bj1) A longitude and latitude representing a jth gas station location;
kyrepresents the sample expansion rate, which is the reciprocal of the sampling rate;
n represents the total number of travelers (people) to be sampled;
n represents the total population number (people) of the town;
in the specific embodiment: if the county surveyor is 726 people and the standing population is 415480 people, then:
Figure BDA0002602518240000083
table 4: matrix example table for distance between traveller and gas station
Figure BDA0002602518240000091
Table 5: calculation result of fuel supply amount of post-distribution gas station
Figure BDA0002602518240000092
Step (1.4), calculating the carbon emission of the gas station;
the method comprises the following steps that the carbon emission of the transportation of a gas station is mainly generated by a trip for refueling, and the carbon emission of the transportation of the gas station is calculated by multiplying annual refueling times, distance of the trip generated by refueling, carbon emission of the transportation in unit distance and a county and city average road nonlinear coefficient;
wherein, the carbon emission of the gas station is calculated by the following formula:
Eij＝c0kyradij
Figure BDA0002602518240000101
Figure BDA0002602518240000102
wherein:
Eijrepresenting the carbon emissions (g) of the traffic generated by the fueling of the ith traveler to the jth fueling station;
Etrafficjrepresenting the total amount of carbon emissions (g) generated by the jth gas station;
c0representing the carbon emission (g/km) of a traveller motor vehicle per unit distance, 169.89;
r represents the nonlinear coefficient of the town road, and 1.2 is taken;
a represents the annual refueling times from the traveler to the jth refueling station;
table 6: calculation result of carbon emission of gas station
Figure BDA0002602518240000103
Step (1.5), calculating the carbon emission of construction and operation of a gas station;
the main carbon emission of the gas station is the construction operation carbon emission, the required quantity of the gas station can be obtained according to the gas station demand distribution result in the step (1.3), the grade of the gas station is further determined, and the construction operation carbon emission of the gas station is obtained according to a calculation formula;
wherein, the carbon emission of the construction and operation of the gas station is calculated by the following formula:
Figure BDA0002602518240000104
wherein:
Ebuildjrepresenting the total amount of construction operation carbon emission (t/year) generated by the jth gas station;
s represents the state of the jth gas station, and if the gas station is established, s is 0; if the gas station is newly built, s is 1;
table 7: calculation result of carbon emission amount of construction and operation of gas station
Figure BDA0002602518240000111
Step (1.6), determining a calculation result of the carbon emission intensity index of the town gas station;
according to the calculation result of the carbon emission of the fueling station in the step (1.4) and the calculation result of the carbon emission of the construction operation in the step (1.5), measuring the carbon emission intensity of the town fueling station by adopting the carbon emission of the fuel oil of 2 index units and the carbon emission of the construction operation of the average single station;
wherein, the average single station construction operation carbon emission x in the carbon emission intensity index of the town gas station1Calculated by the following formula:
Figure BDA0002602518240000112
index unit fuel quantity traffic carbon emission x2Calculated by the following formula:
index unit fuel quantity traffic carbon emission x2Calculated by the following formula:
Figure BDA0002602518240000113
wherein: x is the number of1Representing the average single station construction operating carbon emissions (t/year station).
x2Represents the carbon emission (g/kg) per unit fuel quantity.
Figure BDA0002602518240000121
Represents the sum (g) of the construction operating carbon emissions of all the gas stations in the town;
Figure BDA0002602518240000122
represents the sum (t) of the carbon emissions of the traffic for all the stations in the town;
Figure BDA0002602518240000123
which represents the sum (kg) of the fuel supplies of all the stations in the town.
By combining the steps, the result of the carbon emission intensity index in a certain county can be finally calculated, and the index average single station construction operation carbon emission x19.52 tons/(station-year), index unit fuel oil quantity traffic carbon emission x24.76 g/kg; that is, in this calculation example, the average construction and operation carbon emission amount per year of a gas station in a certain county is 9.52 tons, and a gas station service list in a certain countyThe specific fuel amount produced a traffic carbon emission of 4.76g/kg, i.e. 4.76 kg/ton.

Claims (7)

1. A method for calculating carbon emission intensity of a gas station based on commuting and traveling of a motor vehicle is characterized by comprising the following specific steps:
step (1.1), determining a research object, and acquiring characteristic data of commuting and traveling activities of motor vehicles in cities and towns;
step (1.2), calculating the fuel demand based on the commuting trip of the motor vehicle;
step (1.3), acquiring the characteristic data of the gas station, and completing the selection and shortest path distribution of a gas station user;
step (1.4), calculating the carbon emission of the gas station;
step (1.5), calculating the carbon emission of construction and operation of a gas station;
and (1.6) determining a calculation result of the carbon emission intensity index of the town gas station.
2. The method for calculating carbon emission intensity of a gas station on a commuting trip of a motor vehicle as claimed in claim 1, wherein in said step (1.1),
(1.1.1) the determined research object is a carbon emission intensity index of a town gas station, the carbon emission intensity index of the gas station is an evaluation index calculated based on the carbon emission generated by energy facilities in a town and is used for measuring the carbon emission level of the town energy facilities, and the evaluation index calculated based on the carbon emission generated by the energy facilities comprises the average single-station construction operation carbon emission x1And carbon emissions per unit fuel quantity traffic x22 indexes;
(1.1.2) acquiring the characteristic data of the commuting and traveling activities of the urban motor vehicles means acquiring the total number of urban travelers, annual traveling times, annual average traveling distance and latitude of families and working ground tracks of all travelers through resident traveling survey;
wherein, the characteristic data comprises the total number n of surveyed travelers and the annual travel times f of the ith traveleriAverage annual travel distance diHome longitude and latitude (l)i1，bi1) And working ground warp latitude (l)i2，bi2)。
3. The method for calculating carbon emission intensity of gas station based on motor vehicle commute trip in the step (1.2), wherein the fuel demand D of the ith traveler based on motor vehicle commute trip is calculated in the step (1.2)iCalculated by the following formula:
Di＝fi·di·vi·ρ·10-2
wherein: v. ofiThe fuel consumption per hundred kilometers of the ith traveler's automobile is shown, and rho represents the gasoline density (kg/L), and is 0.74 kg/L.
4. The method as claimed in claim 1, wherein in the step (1.3), the obtained gas station feature data specifically includes a total number m of town gas stations, and a longitude and latitude (l) of a jth gas station locationj1，bj1)；
The operation steps of the gas station user selection and shortest path distribution are as follows:
(1.3.1) calculating the distance between the home residence of the ith traveler and the m gas stations;
(1.3.2) will go out the fuel demand of the person
Figure FDA0002602518230000021
Assigned to the closest gasoline station ki1；
(1.3.3) calculating the distance between the working place of the ith traveler and the m gasoline stations;
(1.3.4) will go out the fuel demand of the person
Figure FDA0002602518230000022
Assigned to the closest gasoline station ki2；
(1.3.5) distributing all fuel oil demand of the travelers toMultiplying all fuel demand of the jth gas station by the sample expansion rate kyAnd then summing to obtain the fuel supply S of the gas stationj；
The distance between the household residence, the working place and the refueling station is calculated by the following formula:
dij＝6371·arccos((sin bi·sin bj1)+(cos bi·cos bj1·cos(li-lj1)))
Figure FDA0002602518230000023
wherein: dijRepresents the linear distance (km) between two points, when li＝li1，bi＝bi1Distance from the ith traveler's home to the jth gas station; when l isi＝li2，bi＝bi2Distance of the ith traveler from the jth gasoline station;
(lj1，bj1) A longitude and latitude representing a jth gas station location;
kyrepresents the sample expansion rate, which is the reciprocal of the sampling rate;
n represents the total number of travelers (people) to be sampled;
n represents the total population (people) of the town.
5. The method for calculating carbon emission intensity of gas station based on commuting trip of motor vehicle as claimed in claim 1, wherein in said step (1.4), carbon emission amount of gas station traffic is calculated by following formula:
Eij＝c0kyradij
Figure FDA0002602518230000024
Figure FDA0002602518230000025
wherein:
Eijrepresenting the carbon emissions (g) of the traffic generated by the fueling of the ith traveler to the jth fueling station;
Etrafficjrepresenting the total amount of carbon emissions (g) generated by the jth gas station;
c0representing the carbon emission (g/km) of a traveller motor vehicle per unit distance, 169.89;
r represents the nonlinear coefficient of the town road, and 1.2 is taken;
a represents the annual fueling times from the traveler to the jth fueling station.
6. The method for calculating carbon emission intensity of the gas station on the basis of commuting trip of the motor vehicle as claimed in claim 1, wherein in the step (1.5), the carbon emission amount of the gas station construction operation is calculated by the following formula:
Figure FDA0002602518230000031
wherein: ebuildjRepresenting the total amount of construction operation carbon emission (t/year) generated by the jth gas station;
s represents the state of the jth gas station, and if the gas station is established, s is 0; if the station is new, s is 1.
7. The method for calculating carbon emission intensity of gas station based on commuting trip of motor vehicle as claimed in claim 1, wherein in said step (1.6), average single station construction operation carbon emission x in carbon emission intensity index of town gas station1Calculated by the following formula:
Figure FDA0002602518230000032
index sheetLevel fuel flow carbon emission x for traffic2Calculated by the following formula:
Figure FDA0002602518230000033
wherein:
x1represents average single station construction operating carbon emission (t/year station);
x2represents the carbon emission (g/kg) of the unit fuel quantity;
Figure FDA0002602518230000034
represents the sum (g) of the construction operating carbon emissions of all the gas stations in the town;
Figure FDA0002602518230000035
represents the sum (t) of the carbon emissions of the traffic for all the stations in the town;
Figure FDA0002602518230000036
which represents the sum (kg) of the fuel supplies of all the stations in the town.
CN202010729391.6A 2020-07-27 2020-07-27 Gas station carbon emission intensity calculation method based on motor vehicle commuting trip Pending CN112085315A (en)

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Publication number Priority date Publication date Assignee Title
CN112712707A (en) * 2020-12-26 2021-04-27 清华四川能源互联网研究院 Vehicle carbon emission monitoring system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112712707A (en) * 2020-12-26 2021-04-27 清华四川能源互联网研究院 Vehicle carbon emission monitoring system and method

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