Method for selecting key indicators of economic efficiency of oil-electricity conversion for hydroelectric engineering self-unloading truck

Abstract

The application discloses a kind of water and electricity engineering self-unloading truck oil changes electric economy and key index selection method, belong to water resources and hydropower engineering technical field.The method includes step one, determines self-unloading truck oil changes electric economy analysis index;Step two, build including all self-unloading truck oil changes electric economy analysis index in oil changes electric economy calculation model;Step three, in combination with oil changes electric economy calculation model, the sensitivity analysis of each self-unloading truck oil changes electric economy analysis index is carried out;Step four, according to self-unloading truck oil changes electric economy analysis index sensitivity analysis result, determine the sensitivity of self-unloading truck oil changes electric economy analysis index as key index;Step five, determine the value range of key index suggestion value.Provide a kind of self-unloading truck oil changes electric economy calculation method, the present application can provide clear decision key variable index for decision maker, while providing technical and data support for decision maker fast and efficient decision-making.

Description

Technical Field

[0001] This invention relates to a method for the economic efficiency and key indicator selection of converting oil-fired dump trucks to electric power in hydropower projects, belonging to the field of hydropower and water conservancy engineering technology. Background Technology

[0002] Currently, a number of large-scale hydropower and water conservancy projects and pumped storage power station projects are under construction or about to commence construction in my country. Hydropower projects involve large amounts of earthwork and concrete, requiring the use of a large number of dump trucks for earthwork or concrete transportation during construction. At present, the transportation vehicles used in hydropower projects are mainly fuel-powered dump trucks. With the country's requirements for green and low-carbon construction, some domestic projects have carried out the "oil-to-electric" conversion of fuel-powered dump trucks, that is, the exploration and application of using electric dump trucks for earthwork transportation.

[0003] Electric dump trucks are characterized by being pollution-free, low-noise, green and environmentally friendly, and energy-efficient. Their operating costs are generally lower than those of gasoline-powered trucks. However, the initial purchase cost of electric dump trucks is high, typically 2 to 3 times that of gasoline-powered dump trucks. Furthermore, there are many economic indicators that affect the transportation efficiency of electric dump trucks, and each indicator has a different degree of impact on transportation efficiency. This often makes it difficult for hydropower engineering contractors to make decisions when converting gasoline-powered dump trucks to electric power.

[0004] Currently, some hydropower project contractors have invested in electric dump trucks, but the equipment investment is generally configured according to the requirements of the construction unit's bidding documents, lacking quantitative analysis of economic efficiency, and lacking technical support for the promotion and large-scale application of electric dump trucks in the field of hydropower projects. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a method for evaluating the economic efficiency and selecting key indicators of converting oil-fired dump trucks to electric power in hydropower projects.

[0006] This invention is achieved through the following technical solution: A method for determining the economic efficiency and key indicator selection of converting oil-fired dump trucks to electric power in hydropower projects includes the following steps: Step 1: Determine the economic analysis indicators for converting dump trucks from gasoline to electric power. Step 2: Construct an economic calculation model for converting dump trucks from oil to electricity, including all economic analysis indicators for converting dump trucks from oil to electricity, and calculate the annual output benefit of a single electric dump truck using the economic calculation model for converting dump trucks from oil to electricity. Step 3: Based on the economic calculation model for converting oil-to-electric vehicles, conduct sensitivity analysis on the economic analysis indicators for converting oil-to-electric vehicles for unloading trucks. Step 4: Based on the sensitivity analysis results of the economic analysis indicators for converting dump trucks from oil to electricity, identify the key indicators with high sensitivity for the economic analysis indicators for converting dump trucks from oil to electricity. Step 5: Determine the recommended range of values ​​for key indicators.

[0007] The economic analysis indicators for converting dump trucks from oil to electricity, determined in step one, include: load capacity. The unit is Purchase cost payback period The unit is annual; the purchase cost of electric dump trucks. Unit: Yuan; Procurement cost of fuel-powered dump trucks Unit is yuan; Comprehensive electricity price for electric dump trucks The unit is yuan / kWh; the electricity consumption per unit of electricity for electric dump trucks. The unit is fuel price per unit The unit is yuan / Fuel consumption The unit is Annual transport distance The unit is Annual transport volume The unit is .

[0008] The economic calculation model for oil-to-electric conversion constructed in step two is as follows: , In the formula, The annual output benefit of a single electric dump truck.

[0009] When the annual output efficiency of the single electric dump truck This demonstrates that electric dump trucks have an economic advantage over fuel-powered dump trucks, and that the decision to switch from fuel to electricity not only brings environmental benefits but also creates economic value.

[0010] When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks and fuel-powered dump trucks are comparable in economic efficiency, and that the decision to switch from fuel-powered to electric power brings environmental benefits.

[0011] When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks are less economical than fuel-powered dump trucks, and the decision to switch from fuel-powered to electric trucks will only bring environmental benefits while increasing costs.

[0012] The method for calculating the sensitivity coefficient of the economic analysis index of the self-dumping truck oil-to-electric conversion in step three is as follows: combining the oil-to-electric conversion economic calculation model, taking a certain economic analysis index of the self-dumping truck oil-to-electric conversion as a variable and the remaining economic analysis indexes of the self-dumping truck oil-to-electric conversion as quantifiers, a sensitivity analysis based on the transportation unit price is carried out on the variable index. Then, following the above method, all the economic analysis indexes of the self-dumping truck oil-to-electric conversion are traversed to obtain the result.

[0013] Step three is used to measure the impact of the respective economic analysis indicators for converting unloading trucks from gasoline to electric on the output of the economic calculation model for converting gasoline to electric.

[0014] The key indicators in step four are the main factors that determine the economic efficiency of converting dump trucks from oil to electricity, and these key indicators are the variables that are the focus of the decision-making stage.

[0015] In step five, the annual output efficiency of a single electric dump truck is used as an example. Based on this, and considering the characteristics of the project and profit requirements, we recommend determining the range of values ​​for key indicators.

[0016] The beneficial effects of this invention are as follows: 1. An economic calculation model for converting dump trucks from gasoline to electric power was established. The economic calculation model for converting dump trucks from gasoline to electric power, established in step two, provides a method for calculating the economic benefits of this conversion. It offers a qualitative to quantitative analytical approach for promoting the application of electric dump trucks in hydropower projects, which is of great significance for promoting the green development of hydropower projects.

[0017] 2. Key indicators affecting economic efficiency were identified, and recommendations for their values ​​were provided. The key indicators identified in step three enable this invention to provide decision-makers with clear indicators of key decision-making variables, while the recommended value ranges determined in step four provide technical and data support for decision-makers to make rapid and efficient decisions. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a graph illustrating the electricity price sensitivity of Embodiment 2 of the present invention. Figure 3 This is a power consumption sensitivity analysis diagram of Embodiment 2 of the present invention; Figure 4 This is an oil price sensitivity analysis chart from Embodiment 2 of the present invention; Figure 5 This is a fuel consumption sensitivity analysis chart for Embodiment 2 of the present invention; Figure 6 This is a comparative analysis chart of the unit price of oil-powered vehicle and electric vehicle transportation in Embodiment 2 of the present invention, and a sensitivity analysis chart. Detailed Implementation

[0019] The technical solution of the present invention is further described below, but the scope of protection is not limited to what is described.

[0020] Example 1 like Figure 1As shown, the present invention provides a method for selecting key indicators and assessing the economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects, comprising the following steps: Step 1: Determine the economic analysis indicators for converting dump trucks from gasoline to electric power. Step 2: Construct an economic calculation model for converting dump trucks from oil to electricity, including all economic analysis indicators for converting dump trucks from oil to electricity, and calculate the annual output benefit of a single electric dump truck using the economic calculation model for converting dump trucks from oil to electricity. Step 3: Based on the economic calculation model for converting oil-to-electric vehicles, conduct sensitivity analysis on the economic analysis indicators for converting oil-to-electric vehicles for unloading trucks. Step 4: Based on the sensitivity analysis results of the economic analysis indicators for converting dump trucks from oil to electricity, identify the key indicators with high sensitivity for the economic analysis indicators for converting dump trucks from oil to electricity. Step 5: Determine the recommended range of values ​​for key indicators.

[0021] The economic analysis indicators for converting dump trucks from oil to electricity, determined in step one, include: load capacity. The unit is Purchase cost payback period The unit is annual; the purchase cost of electric dump trucks. Unit: Yuan; Procurement cost of fuel-powered dump trucks Unit is yuan; Comprehensive electricity price for electric dump trucks The unit is yuan / kWh; the electricity consumption per unit of electricity for electric dump trucks. The unit is fuel price per unit The unit is yuan / Fuel consumption The unit is Annual transport distance The unit is Annual transport volume The unit is .

[0022] Specifically, the comprehensive electricity price per unit for electric dump trucks This includes the basic electricity price plus charging and battery swapping service fees.

[0023] The economic calculation model for oil-to-electric conversion constructed in step two is as follows: , In the formula, The annual output benefit of a single electric dump truck.

[0024] When the annual output efficiency of the single electric dump truck This demonstrates that electric dump trucks have an economic advantage over fuel-powered dump trucks, and that the decision to switch from fuel to electricity not only brings environmental benefits but also creates economic value.

[0025] When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks and fuel-powered dump trucks are comparable in economic efficiency, and that the decision to switch from fuel-powered to electric power brings environmental benefits.

[0026] When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks are less economical than fuel-powered dump trucks, and the decision to switch from fuel-powered to electric trucks will only bring environmental benefits while increasing costs.

[0027] The method for calculating the sensitivity coefficient of the economic analysis index of the self-dumping truck oil-to-electric conversion in step three is as follows: combining the oil-to-electric conversion economic calculation model, taking a certain economic analysis index of the self-dumping truck oil-to-electric conversion as a variable and the remaining economic analysis indexes of the self-dumping truck oil-to-electric conversion as quantifiers, a sensitivity analysis based on the transportation unit price is carried out on the variable index. Then, following the above method, all the economic analysis indexes of the self-dumping truck oil-to-electric conversion are traversed to obtain the result.

[0028] Step three is used to measure the impact of the respective economic analysis indicators for converting unloading trucks from gasoline to electric on the output of the economic calculation model for converting gasoline to electric.

[0029] The key indicators in step four are the main factors that determine the economic efficiency of converting dump trucks from oil to electricity, and these key indicators are the variables that are the focus of the decision-making stage.

[0030] In step five, the annual output efficiency of a single electric dump truck is used as an example. Based on this, and considering the characteristics of the project and profit requirements, we recommend determining the range of values ​​for key indicators.

[0031] Specifically, the suggested values ​​for key indicators can provide quantitative technical support for contractors in the hydropower engineering field to make rapid and efficient decisions on converting dump trucks from oil to electricity.

[0032] Example 2 The method for selecting key indicators and assessing the economic efficiency of converting oil-to-electricity dump trucks in hydropower projects, as described in this invention, has been applied in several projects with good results. Implementation examples and processes are as follows: This embodiment takes the electric dump truck analysis and application of the RM project dam as an example. The dam is a gravel-soil core dam, and this project involves 26.626 million m³ of open excavation. 3 Earthwork filling: 54.867 million m³ 3 The project involves a massive volume of earthwork transportation. Research and application planning were conducted on the conversion of oil-powered dump trucks to electric power. The method proposed in this invention was used during the research process, providing technical support for the decision-making process regarding the application of electric dump trucks. The specific implementation method is as follows: Step 1: Based on the characteristics of the project section, the load capacity was selected. 20m 3 Purchase cost payback period The purchase cost of electric dump trucks over 3 years Purchase cost of fuel-powered dump trucks Electric dump truck comprehensive electricity unit price Electric dump truck power consumption per unit fuel price per unit Fuel consumption Annual transport distance Annual transport volume The economic analysis indicators for converting dump trucks from oil to electricity include those for this purpose.

[0033] 2. Step Two: Conduct simultaneous testing of two 42t electric dump trucks and fuel-powered dump trucks under the same operating conditions. The test route is the transportation loop from RS transfer yard to plot A, with a one-way transportation distance of approximately 10km. The test will obtain the unit power consumption per kilometer of the electric dump truck. fuel consumption per kilometer Daily transport distance and daily transport volume are calculated. Daily transport time is based on 16 hours. Data samples are taken over a 7-day period, and then weighted to obtain the average daily sample data. Subsequently, the annual transport distance is obtained by working 25 days a month and 12 months a year. Annual transport volume Data such as equipment procurement costs, electricity prices, and fuel prices are obtained through market inquiries, and all basic data can be obtained based on this.

[0034] The basic data of the indicators are input into the economic calculation model for oil-to-electric conversion to calculate the annual output benefit of a single electric dump truck. They believe that the conversion of the dump trucks from oil to electricity for the dam section of this project is economically viable.

[0035] 3. Step Three: Subsequently, based on the basic data, conduct sensitivity analysis on the economic feasibility analysis indicators of converting unloading trucks from oil to electricity.

[0036] (1) Electricity price sensitivity analysis based on transportation unit price, such as Figure 2 As shown in the figure, the analysis shows that when the electricity price (market price) is lower than about 0.78 yuan / kWh, the unit price of electric dump trucks is lower and the economic efficiency is better than that of fuel dump trucks.

[0037] (2) Sensitivity analysis of electricity consumption based on unit transportation price, such as Figure 3 As shown in the figure, the analysis shows that when the power consumption is below about 3.73 kWh / km, the unit price of electric dump trucks is lower and the economy is better than that of fuel-powered dump trucks.

[0038] (3) Oil price sensitivity analysis based on transportation unit price, such as Figure 4 As shown in the figure, the analysis shows that when the oil price is higher than about 7.16 yuan / kWh, the unit price of electric dump trucks is lower and the economic efficiency is better than that of fuel dump trucks.

[0039] (4) Fuel consumption sensitivity analysis based on transportation unit price, such as Figure 5 As shown in the figure, the analysis shows that when the fuel consumption is higher than about 1.03L / km, the unit price of electric dump trucks is lower and the economy is better than that of fuel-powered dump trucks.

[0040] (5) Sensitivity analysis of project quantity / sensitivity analysis of vehicle quantity, such as Figure 6 As shown in the analysis, considering the allocation of 16 42t dump trucks per 1 million cubic meters of annual transport volume and the investment of an appropriate number of charging and battery swapping stations, when the project volume is less than 3 million cubic meters / year, the electric dump trucks are highly sensitive to the project volume and their economic efficiency is slightly worse than that of fuel trucks; when the project volume is higher than about 5 million cubic meters / year, the electric dump trucks have a lower unit price and better economic efficiency than the fuel dump trucks.

[0041] Sensitivity analysis reveals that compared to the unit price of fuel-powered dump trucks, the dam section of this project utilizes electric dump trucks, resulting in significant cost savings. Electric trucks exhibit the lowest sensitivity to electricity prices, fuel prices, and fuel consumption, while showing low sensitivity to electricity consumption. Their sensitivity is low when the project volume exceeds 5 million cubic meters per year, but high when it is less than 3 million cubic meters per year. Furthermore, according to the economic calculation model for converting dump trucks from fuel to electricity, under the same boundary conditions, the greater the annual transport distance and the larger the annual transport volume, the higher the annual output benefit per electric dump truck. The larger the size, the better the economics of converting from gasoline to electric vehicles.

[0042] Step 4: Based on Step 3, a comprehensive analysis is conducted to determine the annual transportation volume. Annual transport distance Electric dump truck power consumption per unit As a key indicator, when the electricity consumption per kilometer of electric dump trucks is low, that is, when the transportation roads in the site are mainly downhill with heavy vehicles or with gentle slopes, the transportation unit price is lower and the economy is better. In addition, when the transportation unit price of electric dump trucks is lower than that of oil trucks, improving the utilization rate of electric dump trucks and increasing the effective working time, that is, increasing the annual transportation volume and annual transportation distance, can shorten the vehicle purchase cost recovery time and improve the economic benefits of electric dump trucks.

[0043] Step 5: Economic Calculation Model Based on the Conversion of Dump Trucks from Oil to Electricity Under operating conditions, the recommended values ​​for key indicators of electric dump trucks for dam construction are as follows: Annual transport volume The annual transport volume of a single vehicle shall not be less than 63,300 m³. 3; Annual transport distance The annual transport distance per vehicle shall not be less than 28,800 km; Electric dump truck power consumption per unit The electricity consumption per kilometer of transportation shall not exceed 3.73 kWh / km.

[0044] It should be noted that when the above key indicators cannot be met simultaneously, a comprehensive decision should be made based on the economic calculation model for converting dump trucks from oil to electricity.

Claims

1. A method for the economic efficiency and key indicator selection of converting oil-fired dump trucks to electric power in hydropower projects, characterized in that: Includes the following steps: Step 1: Determine the economic analysis indicators for converting dump trucks from gasoline to electric power. Step 2: Construct an economic calculation model for converting dump trucks from oil to electricity, including all economic analysis indicators for converting dump trucks from oil to electricity, and calculate the annual output benefit of a single electric dump truck using the economic calculation model for converting dump trucks from oil to electricity. Step 3: Based on the economic calculation model for converting oil-to-electric vehicles, conduct sensitivity analysis on the economic analysis indicators for converting oil-to-electric vehicles for unloading trucks. Step 4: Based on the sensitivity analysis results of the economic analysis indicators for converting dump trucks from oil to electricity, identify the key indicators with high sensitivity for the economic analysis indicators for converting dump trucks from oil to electricity. Step 5: Determine the recommended range of values ​​for key indicators.

2. The method for selecting key indicators and assessing the economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects as described in claim 1, characterized in that: The economic analysis indicators for converting dump trucks from oil to electricity, determined in step one, include: load capacity. The unit is Purchase cost payback period The unit is annual; the purchase cost of electric dump trucks. Unit: Yuan; Procurement cost of fuel-powered dump trucks Unit is yuan; Comprehensive electricity price for electric dump trucks The unit is yuan / kWh; the electricity consumption per unit of power for electric dump trucks. The unit is fuel price per unit The unit is yuan / Fuel consumption The unit is Annual transport distance The unit is Annual transport volume The unit is .

3. The method for selecting key indicators and assessing the economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects, as described in claim 2, is characterized in that: The economic calculation model for oil-to-electric conversion constructed in step two is as follows: ， In the formula, The annual output benefit of a single electric dump truck.

4. The method for selecting key indicators and economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects as described in claim 3, characterized in that: When the annual output efficiency of the single electric dump truck This demonstrates that electric dump trucks have an economic advantage over fuel-powered dump trucks, and that the decision to switch from fuel to electricity not only brings environmental benefits but also creates economic value.

5. The method for selecting key indicators and economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects as described in claim 3, characterized in that: When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks and fuel-powered dump trucks are comparable in economic efficiency, and that the decision to switch from fuel-powered to electric power brings environmental benefits.

6. The method for selecting key indicators and assessing the economic efficiency of converting oil-to-electricity dump trucks in hydropower projects as described in claim 3, characterized in that: When the annual output efficiency of the single electric dump truck This indicates that electric dump trucks are less economical than fuel-powered dump trucks, and the decision to switch from fuel-powered to electric trucks will only bring environmental benefits while increasing costs.

7. The method for selecting key indicators and economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects as described in claim 1, characterized in that: The method for calculating the sensitivity coefficient of the economic analysis index of the self-dumping truck oil-to-electric conversion in step three is as follows: combining the oil-to-electric conversion economic calculation model, taking a certain economic analysis index of the self-dumping truck oil-to-electric conversion as a variable and the remaining economic analysis indexes of the self-dumping truck oil-to-electric conversion as quantifiers, a sensitivity analysis based on the transportation unit price is carried out on the variable index. Then, following the above method, all the economic analysis indexes of the self-dumping truck oil-to-electric conversion are traversed to obtain the result.

8. The method for selecting key indicators and assessing the economic efficiency of converting oil-fired dump trucks to electric power in hydropower projects as described in claim 1, characterized in that: Step three is used to measure the impact of the respective economic analysis indicators for converting unloading trucks from gasoline to electric on the output of the economic calculation model for converting gasoline to electric.

9. The method for selecting key indicators and assessing the economic efficiency of converting oil-to-electricity dump trucks in hydropower projects as described in claim 1, characterized in that: The key indicators in step four are the main factors that determine the economic efficiency of converting dump trucks from oil to electricity, and these key indicators are the variables that are the focus of the decision-making stage.

10. The method for selecting key indicators and assessing the economic efficiency of converting oil-to-electricity dump trucks in hydropower projects as described in claim 1, characterized in that: In step five, the annual output efficiency of a single electric dump truck is used as an example. Based on this, and considering the characteristics of the project and profit requirements, we recommend determining the range of values ​​for key indicators.

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