Evaluation method based on energy grass harvesting, storage and transportation

Abstract

The invention relates to the technical field of energy grass collection and storage evaluation, in particular to an evaluation method based on energy grass collection, storage and transportation, which comprises the following steps: calculating the cost of different collection modes by using collection, storage and transportation related parameters and mechanical related parameters; calculating storage and transportation energy consumption of different collection modes by using a storage and transportation energy consumption algorithm; calculating forward indexes of different collection modes by using a forward index algorithm; calculating reverse indexes of different collection modes by using a reverse index algorithm; and carrying out weight assignment on the reverse index values and the forward index values of the different collection modes by utilizing a comprehensive evaluation algorithm to obtain comprehensive scores of the different collection modes. The existing energy grass collecting, storing and transporting system is lack of comprehensive evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of energy grass collection, storage and evaluation, and in particular to an evaluation method based on energy grass collection, storage and transportation. Background Art

[0002] The energy crisis is becoming more and more serious and the challenge of climate change is becoming more and more severe. The development and utilization of biomass resources can not only solve the environmental and climate problems of global warming caused by greenhouse gas emissions, but also solve the problem of energy shortage in my country.

[0003] The collection, storage and transportation of energy grass are the prerequisites for the development and utilization of energy grass. Since the collection, storage and transportation of energy grass involve many factors, such as collection, storage and transportation costs, efficiency, energy consumption, pollutant emissions, etc., it is difficult to evaluate the energy grass collection, storage and transportation system.

[0004] The patent with publication number CN 118605501 A mainly calculates the cost of the intelligent collection, storage and transportation model to solve the problem of the collection and transportation efficiency of energy grass, that is, it only considers the cost indicator; but it has not yet involved energy-saving, green, and high-efficiency factors; and it has failed to conduct a comprehensive evaluation of energy-saving, green, high-efficiency, cost and other indicators. Summary of the invention

[0005] In view of the shortcomings of the existing system, the present invention solves the problem of lack of comprehensive evaluation of the existing energy grass collection, storage and transportation system, and improves the scientificity and reliability of the comprehensive evaluation of the energy grass collection, storage and transportation system by quantifying factors such as cost, efficiency, energy consumption, and pollutant emissions in energy grass collection, storage and transportation.

[0006] The technical solution adopted by the present invention is: the evaluation method based on energy grass collection, storage and transportation includes the following steps:

[0007] Step 1: Calculate the total cost of different collection modes using collection, storage and transportation related parameters and machinery related parameters;

[0008] Step 2: Calculate the energy consumption of different collection modes using the energy consumption algorithm of collection, storage and transportation;

[0009] As a preferred embodiment of the present invention, different collection modes include: manual loose rod collection mode, manual bundling collection mode, mechanical collection mode and intelligent collection mode.

[0010] As a preferred embodiment of the present invention, the formula of the energy consumption algorithm for storage and transportation is:

[0011] E t =FHV×Q f

[0012] Where, FHV is the calorific value of diesel; Q f It is the fuel consumption in different collection modes during operation.

[0013] Step 3: Use the forward indicator algorithm to calculate the forward indicators of different collection modes; use the reverse indicator algorithm to calculate the reverse indicators of different collection modes; and use the comprehensive evaluation algorithm to assign weights to the reverse indicators and forward indicator values ​​of different collection modes to obtain the comprehensive scores of different collection modes;

[0014] As a preferred implementation mode of the present invention, the positive indicators are high-efficiency indicators, including: number of personnel, degree of mechanization and baling conditions.

[0015] As a preferred embodiment of the present invention, the reverse indicators include: green indicators, energy-saving indicators and cost indicators; among which, the green indicators include carbon dioxide emissions, sulfur dioxide emissions and nitrogen oxide emissions; the energy-saving indicators are energy consumption for collection, storage and transportation; and the cost indicator is the total cost.

[0016] As a preferred embodiment of the present invention, the formula of the positive index algorithm is:

[0017]

[0018] Among them, S si is the actual value of the collection, storage and transportation mode; S j It is the benchmark value or average value of the collection, storage and transportation mode.

[0019] As a preferred embodiment of the present invention, the formula of the reverse indicator algorithm is:

[0020]

[0021] Among them, S si is the actual value of the collection, storage and transportation mode; S j It is the benchmark value or average value of the collection, storage and transportation mode.

[0022] As a preferred embodiment of the present invention, the formula of the comprehensive evaluation algorithm is:

[0023]

[0024] Among them, S' i is the reverse indicator value, S i is a positive indicator value, K i is the weight of the positive indicator, K' i is the weight of the reverse indicator, n1 is the number of positive indicators, and n2 is the number of reverse indicators.

[0025] As a preferred embodiment of the present invention, an evaluation system based on energy grass collection, storage and transportation includes: a memory for storing instructions executable by a processor; a processor for executing instructions to implement an evaluation method based on energy grass collection, storage and transportation.

[0026] As a preferred embodiment of the present invention, a computer readable medium stores computer program code, and the computer program code, when executed by a processor, implements an evaluation method based on energy grass collection, storage and transportation.

[0027] Beneficial effects of the present invention:

[0028] 1. In view of the lack of efficiency, energy consumption, pollutant emissions and other factors in the existing evaluation system, energy-saving, green, high-efficiency and cost indicators are proposed to quantify the cost, efficiency, energy consumption, pollutant emissions and other factors in energy grass collection, storage and transportation, and improve the scientificity and reliability of the comprehensive evaluation of energy grass collection, storage and transportation system;

[0029] 2. Due to factors such as cost, energy consumption, and pollutant emissions, the higher the value, the worse it is. When analyzing the indicators of these factors together with other indicators, it is impossible to directly judge the quality of the indicators by the values; therefore, these factors are calculated as reverse indicators, and the remaining factors are calculated using forward indicators, so that all calculated indicators are unified as the larger the value, the better, which is convenient for intuitively distinguishing the quality of each indicator. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a method flow chart of the comprehensive evaluation system of the energy grass collection, storage and transportation system of the present invention;

[0031] Figure 2 It is a comprehensive evaluation radar chart of the comprehensive evaluation system of the energy grass collection, storage and transportation system of the present invention. DETAILED DESCRIPTION

[0032] The present invention is further described below in conjunction with the accompanying drawings and embodiments. This figure is a simplified schematic diagram, which only illustrates the basic structure of the present invention in a schematic manner, and therefore it only shows the components related to the present invention.

[0033] like Figure 1 As shown, an evaluation method based on energy grass collection, storage and transportation includes:

[0034] Construct four energy grass collection modes, including: manual loose stem collection mode, manual baling collection mode, mechanical collection mode and intelligent collection mode.

[0035] Manual loose-stalk collection mode: This mode uses traditional manual methods to collect and load energy grass, and transport it to the central storage plant with a small tractor for direct loose-stalk storage, and then transport it to the factory for crushing and utilization when needed.

[0036] Manual baling collection mode: Use traditional manual methods to collect energy grass, then use a baler to bale the energy grass, use a small tractor to transport it to the central storage plant for bale storage, and then transport it to the factory for crushing and utilization when needed.

[0037] Mechanical collection mode: Use a grass grabber to collect, bale and load the grass, and a small tractor to bale and transport it to a central storage plant for storage. When needed, it will be transported to the factory for crushing and utilization.

[0038] Intelligent collection mode: Add a cloud computing center based on the mechanical collection mode to optimize transportation routes, improve transportation efficiency, save collection, storage and transportation costs, and form an intelligent collection, storage and transportation mode.

[0039] Among them, the calculation method of the total cost of the manual bundling collection mode, the mechanical collection mode cost and the intelligent collection mode is disclosed in the CN 118605501 A patent, and the present invention will not repeat it again.

[0040] In calculating the four costs of energy grass collection, storage and transportation, it is assumed that:

[0041] 1. Within the collection radius, the energy grass is evenly distributed with the same density;

[0042] 2. The impact of risk factors such as weather changes on the collection, storage and transportation of energy grass is not considered;

[0043] 3. The working hours per day are 8 hours.

[0044] Calculate the total cost of the manual loose rod collection model, including:

[0045] Storage cost per ton of loose energy grass:

[0046] Storage and maintenance costs of loose energy grass: P w1 =0.3P s ;

[0047] The total cost of storing loose energy grass: C s =QP s +QP w1

[0048] Among them, P S P is the storage cost per ton of loose energy grass; v is the storage cost per cubic meter of loose energy grass; the effective storage coefficient is k; ρ s is the density of scattered energy grass; P W1 Storage and maintenance costs for loose energy grass; C S is the total cost of storing loose energy grass; Q is the amount of energy grass resources.

[0049] The energy consumption calculation formulas for the four energy grass collection modes are:

[0050] E t =FHV×Q f

[0051] In the formula, FHV is the calorific value of diesel, which is 42705 kJ / kg; Q f is the fuel consumption in different collection modes during operation, kg, Q f =Fuel ​​consumption (kg / h)*working hours (h).

[0052] The collection, storage and transportation related parameters in Table 1 and the collection machinery related parameters in Table 2 are introduced into the CN 118605501 A patent to calculate the total cost of the manual bundling collection mode, the mechanical collection mode and the intelligent collection mode.

[0053] Table 1 Parameters related to storage and transportation

[0054]

[0055]

[0056] Table 2 Collection of mechanical related parameters

[0057]

[0058] The literature "Evaluation and Dynamic Study of Ecological Service Value of Green Space System in Zhengzhou" and "Emission Standards of Air Pollutants from Thermal Power Plants" disclose the parameters required for pollutant calculation. Since the sulfur content of diesel will affect the pollutant calculation, the pollutants generated by converting the energy consumption of collection, storage and transportation into standard coal are calculated. For example, if the sulfur content of diesel is known, it can be directly calculated by the fuel consumption Q f The pollutants generated are calculated as shown in Table 3:

[0059] Table 3 Parameters required for pollutant calculation

[0060]

[0061] Substituting the parameters in Table 1 and Table 2 into the model in patent CN 118605501 A and the total cost model of scattered energy grass storage, the costs of the four modes are obtained, as shown in the cost column in Table 4; the energy consumption column in Table 4 is obtained by calculating the energy consumption of the four energy grass collection modes.

[0062] Table 4 Collection, storage and transportation costs and energy consumption

[0063]

[0064]

[0065] Table 5 Pollutant emissions from collection, storage and transportation are calculated based on the parameters and energy consumption E required for pollutant calculation in Table 3 tCalculated; for example: the energy consumption of the manual scattered rod collection mode is 3.25E+10, then the carbon dioxide emissions are = energy consumption / carbon dioxide pollutants produced per ton of standard coal burned = 3.25E+10 / 29270*0.262 = 290.55 tons (standard coal calorific value: 29270). Similarly, the pollutant emissions under other modes in Table 5 can be obtained.

[0066] Table 5 Pollutant emissions from collection, storage and transportation

[0067]

[0068] The number of manpower and machinery is obtained by dividing the annual available energy grass resources by the corresponding working hours of manpower and machinery; among them, grass grabbers and balers require two people to operate, while small tractors only require one person to operate.

[0069] Table 6 Number of labor and machinery for storage and transportation

[0070]

[0071] A comprehensive evaluation is conducted based on the constructed energy grass collection, storage and transportation model, and the comprehensive evaluation factors are divided into energy-saving indicators, green indicators, high-efficiency indicators and cost indicators; among them, green indicators include carbon dioxide emissions, sulfur dioxide emissions and nitrogen oxide emissions; energy-saving indicators mainly analyze the energy consumption of collection, storage and transportation; high-efficiency indicators mainly include the number of personnel, degree of mechanization (number of machines) and baling situation (whether baling is performed); cost indicators mainly refer to the total cost of collection, storage and transportation (excluding the purchase price).

[0072] The evaluation indicators are divided into positive indicators (high-efficiency indicators) and reverse indicators (energy-saving indicators, green indicators, and cost indicators) and the following specific formula is used:

[0073] The calculation of positive indicator evaluation index is as follows:

[0074]

[0075] The calculation of the reverse index evaluation index is as follows:

[0076]

[0077] In the formula, S i is a positive evaluation index of the collection, storage and transportation mode; S' i is the reverse evaluation index of the collection, storage and transportation mode; S si is the actual value of the collection, storage and transportation mode; S j It is the benchmark value or mean value of the storage and transportation mode; the values ​​of the storage and transportation indicators in Table 7 are calculated.

[0078] Table 7 Values ​​of various indicators for storage and transportation

[0079]

[0080] The comprehensive index evaluation method is based on the evaluation index system. It is a method to calculate the comprehensive index by weighted average of each evaluation index in the index system to evaluate the comprehensive level.

[0081]

[0082] Among them, P is the total score of the comprehensive evaluation assessment; n is the total number of secondary indicator items of the quantitative evaluation participating in the assessment; S is the single evaluation indicator of the evaluation index, and K is the weight of the single evaluation indicator of the evaluation index.

[0083] In this implementation, the corresponding weights K of energy-saving index, green index, high-efficiency index, and cost index are 0.44, 0.44, 0.54, and 0.58 respectively.

[0084] Calculate the total score of the energy grass collection, storage and transportation system and draw a graph as shown below: Figure 2 As shown in the comprehensive evaluation radar chart, the higher the total score, the better the comprehensive evaluation of the model.

[0085] The manual loose-pole collection mode adopts a loose-pole collection method, which is inefficient and costly, so the high-efficiency index and cost index of this mode are the lowest, which are only 2.21 and 2.03 respectively; the loose-pole transportation and storage methods adopted by this mode require a large number of grass grabbers and small tractors, which have high energy consumption and pollution, and low green and energy-saving indexes, which are 2.14 and 2.86 respectively; the total score of this mode is 4.57.

[0086] The manual baling collection mode uses the largest number of machines, has the highest energy consumption, causes the most pollution, and has the lowest green index and energy-saving index, which are 3.58 and 4.78 respectively. The high efficiency index and cost index of this mode are higher than those of the manual loose rod collection mode, and lower than those of the mechanical collection mode, which are 4.33 and 3.58 respectively. The total score of this mode is 8.08.

[0087] The degree of mechanization of the mechanical collection mode is higher than that of the manual collection mode, and the efficiency and cost indicators are much higher than those of the manual collection mode, which are 6.42 and 7.51 respectively. The pollutants and energy consumption of the mechanical collection mode are lower than those of the manual collection mode, and the green index and energy saving index are 3.22 and 4.31 respectively, which are higher than the manual baling collection mode. The total score of this mode is 11.13.

[0088] The intelligent collection mode has the highest degree of intelligent mechanization, with high efficiency, cost, green and energy-saving indicators of 7.27, 9.75, 3.57 and 4.79 respectively; all indicators of this mode are the highest among the four modes, and the total score is the largest, which is 13.26. Therefore, the intelligent centralized mechanical collection mode is the best among the four modes and most suitable for long-term development.

[0089] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. An evaluation method based on energy grass collection, storage and transportation, characterized in that: The following steps are involved: Step 1: Calculate the total cost of different collection modes using collection, storage and transportation related parameters and machinery related parameters; Step 2: Calculate the energy consumption of different collection modes using the energy consumption algorithm of collection, storage and transportation; Step 3: Use the forward indicator algorithm to calculate the forward indicators of different collection modes; use the reverse indicator algorithm to calculate the reverse indicators of different collection modes; and use the comprehensive evaluation algorithm to assign weights to the reverse indicators and forward indicator values ​​of different collection modes to obtain comprehensive scores for different collection modes.

2. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: The formula for energy consumption calculation of storage and transportation is: AND t =FHV×Q f Where, FHV is the calorific value of diesel; Q f It is the fuel consumption in different collection modes during operation.

3. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: The formula for the positive indicator algorithm is: Among them, S si is the actual value of the collection, storage and transportation mode; S j It is the benchmark value or average value of the collection, storage and transportation mode.

4. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: The formula of the reverse indicator algorithm is: Among them, S si is the actual value of the collection, storage and transportation mode; S j It is the benchmark value or average value of the collection, storage and transportation mode.

5. The evaluation method based on energy grass collection, storage and transportation according to claims 3 and 4 is characterized in that: The formula of the comprehensive evaluation algorithm is: Among them, S' i is the reverse indicator value, S i is a positive indicator value, K i is the weight of the positive indicator, K' i is the weight of the reverse indicator, n1 is the number of positive indicators, and n2 is the number of reverse indicators.

6. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: Different collection modes include: manual loose rod collection mode, manual baling collection mode, mechanical collection mode and intelligent collection mode.

7. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: Positive indicators are high-efficiency indicators, including: number of personnel, degree of mechanization and baling conditions.

8. The evaluation method based on energy grass collection, storage and transportation according to claim 1 is characterized in that: Reverse indicators include: green indicators, energy-saving indicators and cost indicators; among them, green indicators include carbon dioxide emissions, sulfur dioxide emissions and nitrogen oxide emissions; energy-saving indicators are energy consumption in collection, storage and transportation; and cost indicators are total costs.

9. The evaluation system based on energy grass collection, storage and transportation is characterized by: include: a memory for storing instructions executable by a processor; A processor, used for executing instructions to implement the evaluation method based on energy grass collection, storage and transportation as described in any one of claims 1-8.

10. A computer readable medium storing computer program code, characterized in that: When the computer program code is executed by a processor, the evaluation method based on energy grass collection, storage and transportation as described in any one of claims 1 to 8 is implemented.

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