CN113642799B - Method and device for determining straw storage point position, electronic equipment and storage medium - Google Patents
Method and device for determining straw storage point position, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for determining a straw storage point around a biomass power plant, electronic equipment and a storage medium, wherein the method comprises the following steps: constructing a biomass power plant raw material collection and transportation model; constructing an optimization function containing the relation between the straw collection transportation cost and the number of the first storage points and the collection radius of the first storage points by using the model; and solving the optimization function to obtain the number of the first storage points and the optimal value of the collection radius of the first storage points, and determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius. The invention can optimize the fuel collection range of the biomass power plant, reduce the power generation cost and improve the power generation efficiency.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy system planning and design, and particularly relates to a method and a device for determining straw storage points around a biomass power plant.
Background
China is a traditional agricultural large country, has rich biomass resources, and encourages and supports the development of biomass energy industry.
However, at present, the biomass power generation industry in China and even the world still faces a plurality of defects, and the main reasons are that biomass resources such as straw have the defects of wide distribution, non-uniformity, higher collection cost, difficult transportation, difficult preservation and the like. These disadvantages seriously hamper the development and utilization of biomass resources, and become a big bottleneck for biomass power generation.
Disclosure of Invention
According to the 1 st aspect of the present invention, another method for determining positions of straw collection and storage points around a biomass power plant is disclosed, wherein the straw collection and storage points are located in a circular area with the biomass power plant as a center and the straw collection radius R of the biomass power plant as a radius, and the method comprises the steps of:
Constructing a biomass power plant raw material collection and transportation model;
constructing an optimization function containing the relation between the straw collection transportation cost and the number of the first storage points and the collection radius of the first storage points by using the model;
Solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points;
And determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius.
In some examples, assuming that the straw harvesting radius of the first storage point is R 1, the biomass power plant raw material collection and transportation model is: in the circular area, n circles of first storage points are arranged from outside to inside in the radial direction, and the number of the first storage points arranged in the ith circle isThe transport distance from the first collecting and storing point of the ith circle to the straw of the biomass power plant is R- (2 i-1) R 1, i is more than or equal to 1 and less than or equal to n; the second storage points are arranged in the central area remaining after n circles of the first storage points are arranged in the circular area in the above-described manner.
Further, the optimization function is y=y1+y2+y3+y4, wherein Y is the total transportation cost of the straws in the circular area purchased by the biomass power plant, Y1 is the straw collection transportation cost of each first storage point, Y2 is the straw transportation cost from each first storage point to the biomass power plant, Y3 is the straw transportation cost from each second storage point to the biomass power plant, Y4 is the straw transportation cost in the biomass power plant, and Y1, Y2, Y3 and Y4 are functions of the number of turns of the first storage point arrangement and the straw collection radius of the first storage point.
Further, deriving the optimization function to obtain the straw harvesting radius of the first harvesting point corresponding to different circles n.
According to the 2 nd aspect of the invention, another method for determining a straw collection and storage point around a biomass power plant is disclosed, wherein the straw collection and storage point is located in a circular area with the biomass power plant as a center and the straw collection radius R of the biomass power plant as a radius, and the method comprises the following steps:
calculating a total cost of harvesting of the straw to the biomass power plant based on the plurality of parameters, the total cost of harvesting including a cost of acquisition, a cost of a first acquisition mode, and a cost of a second acquisition mode;
Respectively increasing at least one part of the parameters by a preset percentage, calculating the change rate of the total cost of recovery after the parameter is increased, and taking the parameter generating the maximum change rate of the total cost of recovery as a key parameter;
Determining the position of the straw storage point in the circular area based on the key parameters;
The straw collection and storage points comprise a plurality of first collection and storage points adopting a first purchase mode and a plurality of second collection and storage points adopting a second purchase mode, and the distance between the first collection and storage points and the biomass power plant is greater than that between the second collection and storage points and the biomass power plant.
In some examples, the first acquisition mode cost includes a first transportation cost, a straw pretreatment cost, a straw storage cost, and a first profit, and the second acquisition mode cost includes a second transportation cost, a second profit.
In some examples, the at least a portion of the parameters include a first point of purchase recovery radius, a purchase price, a first purchase pattern shipping price, a first purchase pattern unit profit.
Further, the key parameter is a first harvest radius of the storage point, and determining the position of the straw storage point in the circular area based on the key parameter includes:
Constructing a biomass power plant raw material collection and transportation model, and constructing an optimization function containing the relation between straw collection and transportation cost, the number of first storage points and the collection radius of the first storage points by using the model;
Solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points;
And determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius.
In some examples, assuming that the straw harvesting radius of the first storage point is R 1, the biomass power plant raw material collection and transportation model is: in the circular area, n circles of first storage points are arranged from outside to inside in the radial direction, and the number of the first storage points arranged in the ith circle isThe transport distance from the first collecting and storing point of the ith circle to the straw of the biomass power plant is R- (2 i-1) R 1, i is more than or equal to 1 and less than or equal to n; the second storage points are arranged in the central area remaining after n circles of the first storage points are arranged in the circular area in the above-described manner.
Further, the optimization function is y=y1+y2+y3+y4, wherein Y is the total transportation cost of the straws in the circular area purchased by the biomass power plant, Y1 is the straw collection transportation cost of each first storage point, Y2 is the straw transportation cost from each first storage point to the biomass power plant, Y3 is the straw transportation cost from each second storage point to the biomass power plant, Y4 is the straw transportation cost in the biomass power plant, and Y1, Y2, Y3 and Y4 are functions of the number of turns of the first storage point arrangement and the straw collection radius of the first storage point.
Furthermore, the optimization function is derived, and the straw harvesting radius of the first harvesting point corresponding to different circles n is obtained.
According to the 3 rd aspect of the present invention, there is also disclosed a device for determining positions of straw collection and storage points around a biomass power plant, where the straw collection and storage points are located in a circular area with the biomass power plant as a center and the biomass power plant straw collection radius R as a radius, and the device includes a plurality of first collection and storage points in a first collection mode and a plurality of second collection and storage points in a second collection mode, and the device includes:
the first storage unit is used for storing a biomass power plant raw material collection and transportation model;
The second storage unit is used for storing an optimization function which is constructed by using the model and contains the relation between the straw collection transportation cost, the number of the first storage points and the collection radius of the first storage points;
And the calculation unit is used for solving the optimization function, obtaining the quantity of the first storage points and the optimal value of the collection radius of the first storage points, and determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the optimal value.
According to the 4 th aspect of the present invention, there is also disclosed an electronic apparatus comprising: the method for determining the location of straw collection sites around a biomass power plant according to any one of the 1 st or 2 nd aspect, comprising a processor, a memory, and a program stored in the memory and executable on the processor.
According to the 5 th aspect of the present invention, there is also disclosed a readable storage medium having a program stored thereon, which when executed by a processor, implements the method for determining a location of straw storage points around a biomass power plant as set forth in any one of the 1 st or 2 nd aspects.
The invention can optimize the fuel collection range of the biomass power plant, reduce the power generation cost and improve the power generation efficiency.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic diagram of a biomass power plant straw acquisition mode;
fig. 2 is a schematic flow chart of a method for determining a position of a straw collecting and storing point around a biomass power plant according to an embodiment of the invention;
FIG. 3 is a "farmer-power plant" acquisition mode straw harvesting area;
FIG. 4 is a "middleman-plant" acquisition mode straw harvesting area;
FIG. 5 is a graph showing the relationship between the factor change rate and the total cost of recovery change rate;
FIG. 6 is a schematic diagram of a biomass power plant raw material collection and transportation model;
fig. 7 (a) and (b) are schematic diagrams of the arrangement positions of the first storage points when the number of turns n=1 and n=2, respectively;
FIG. 8 is a schematic flow chart of a method for determining the position of a straw collection and storage point around a biomass power plant according to another embodiment of the invention;
fig. 9 is a schematic diagram of a device for determining positions of straw collection and storage points around a biomass power plant according to an embodiment of the invention;
fig. 10 is a schematic diagram of the composition of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Biomass power generation is power generation using biomass energy of a biomass material, and includes, for example, direct combustion power generation of agricultural and forestry waste, gasification power generation of agricultural and forestry waste, and the like. Biomass power plants obtain biomass material for power generation by purchasing the biomass material at straw storage points located within a predetermined range around the power plant.
The straw is a good clean renewable energy source, is the biomass power generation material with the most development and utilization potential, and has good economic, ecological and social benefits. As shown in fig. 1, when straw purchasing is performed, the purchasing modes of the biomass power plant are mainly divided into two types: the first acquisition mode is a 'middle business-power plant' mode and is also a main mode for acquiring straws in a biomass power plant. In the acquisition mode, the middle business far away from the biomass power plant performs unified collection, storage and transportation management on the straws. The second purchasing mode is a 'farmer-power plant' mode, and in a range close to the power plant, the farmer is responsible for tasks such as collection, airing, storage and transportation of straw raw materials, and the power plant regularly carries out profit sharing with the farmer.
Unlike other biomass materials, straw is planted seasonally, and when straw power generation is performed, it is necessary to crush and press the straw into high-density particles in order to increase the heat energy per unit volume. Therefore, in order to facilitate the subsequent crushing and pressing, it is beneficial for the biomass power plant to purchase the straw before it is stored and transported if necessary pretreatment is completed. For example, the straw is compressed into blocks by using hydraulic equipment to be packed, so that the content of water-soluble compounds in the straw is reduced as much as possible, and the quality of fuel combustion is improved. Typically, such pretreatment can be accomplished using only the straw purchased in the first acquisition mode, however, such pretreatment incurs additional costs. Therefore, how to arrange the straw collection and storage points adopting the first purchasing mode and the second purchasing mode in the preset area around the biomass power plant so as to reduce the power generation cost to the maximum extent, improve the straw combustion quality and improve the power generation efficiency is an urgent problem to be solved by the biomass power plant.
As shown in fig. 2, according to an embodiment of the present invention, a method for determining a location of a straw collection and storage point around a biomass power plant is disclosed. The method comprises the following steps that a straw collection and storage point is located in a circular area taking a biomass power plant as a circle center and taking a straw collection radius R of the biomass power plant as a radius, and the method comprises the following steps:
step 101, calculating total recovery cost of the straw to the biomass power plant based on a plurality of parameters;
In the present invention, the total cost of recovery includes a purchase cost, a first purchase mode cost, and a second purchase mode cost.
The first purchasing mode cost comprises parameters such as first transportation cost, straw pretreatment cost, straw storage cost, first profit and the like, and the second purchasing mode cost comprises parameters such as second transportation cost and second profit.
1. Acquisition cost
The straw purchasing quantity Q is related to the straw purchasing radius R and the straw density mu of the power plant, namely
Q＝πR2·μ (4-1)
Wherein R is the purchase radius of the straw taking the power plant as the center of a circle; straw density μ is ton/square meter. Acquisition cost C p is related to acquisition quantity Q and unit (per ton) acquisition price P 0, namely:
Cp＝Q·P0＝πR2·μ·P0 (4-2)
cost of "farmer-plant" mode (hereinafter referred to as second acquisition mode)
First, the cost of the second acquisition mode is analyzed, and fewer factors need to be considered in calculation of the cost of the mode, including the transportation cost (second transportation cost) of the straws from the storage point (second storage point) to the biomass power plant by the farmer and the profit (farmer profit or second profit) obtained by the farmer in the mode.
In this mode, the straw harvesting area is shown in fig. 3, and the cost of the second harvesting mode is calculated as follows:
(1) Second transportation cost
The rural straw harvesting transportation mainly uses highways, but the actual transportation route cannot be a straight line. Therefore, the invention introduces a tortuosity factor beta to approximate the actual transportation route to a straight line distance. For the second acquisition mode, the transportation cost C t is related to the transportation distance and the transportation price P t. By utilizing a fixed-integration infinitesimal method, setting a harvesting radius r of a peasant household as an integral variable, integrating on [0, r ], and then transporting the price on [ r k,rk+drk ] as follows:
dC＝2πrk·rk·μ·β·drk·Pt1 (4-3)
where r k、drk is the integration interval.
The second transportation cost after integration is:
Where P t1 represents the unit transport price of the farmer.
(2) Farmer profit (second profit)
In the second purchasing mode, according to unified standards specified by the power generation enterprises, the power plant contracts with farmers, the contents of the number, quality, price and the like of purchasing are specified, and the farmer cost, namely the farmer profit, is paid. Farmer profit C b1 is:
Where v represents the unit profit of the farmer and r is the harvesting radius of the farmer.
Cost of "intermediate merchant-Power plant" mode (hereinafter referred to as first acquisition mode)
For areas where straw resources are far away from the power plant, for example, areas where the straw resources are far away from the power plant and exceed the harvesting radius r of farmers, a first purchasing mode is adopted, and an intermediate manufacturer takes charge of harvesting straw and sends the straw to a resource island center. The resource island is the first collecting and storing point, and the straw collecting range is a circular area taking the center of the resource island (the center of the first collecting and storing point) as the center and taking the collecting radius r j of the resource island as the radius. The straws collected by the intermediate manufacturer are transported to a power plant by a resource island center after being pretreated.
The straw harvesting area in the first acquisition mode is shown in fig. 4, and the cost in this mode is calculated as follows:
(1) First transportation cost
In the first acquisition mode, the transportation costs C t' include an intra-resource island transportation cost C t1 and an extra-resource island transportation cost C t2. The transportation cost C t1 in the resource island is similar to that of C t, namely
Where r j represents the radius of the harvesting area of one intermediate, and P t2 represents the unit transport price of the intermediate.
The resource island outside transport cost C t2 is related to the transport distance (distance from the resource island center to the power plant) L and the transport quantity Q j. The formula can be expressed as
Ct2＝Qj·Pt·L＝πrj 2μLPt2 (4-7)
Therefore, the transportation cost C t3 for one intermediate business is
The total m intermediaries are provided, and the transportation cost of all intermediaries is C t
(2) Pretreatment cost:
In the process of collecting straws by a middleman, pretreatment such as packaging, compressing, crushing and the like is needed for the straws, and the straws packaged by baling reduce the storage space, and the shape is regular, so that the transportation is convenient, and the transportation cost is reduced. The straw is aired in the field for several days before bundling, so that the straw can be dried, and the content of water-soluble compounds (such as chlorine, potassium and the like) can be reduced through flushing of rainwater, so that the fuel combustion quality is improved.
Pretreatment costs C d include the operating cost of the equipment C e and the depreciation cost of the equipment C r. Assuming that the purchase cost of the equipment is F, the annual depreciation cost of the equipment is:
where RV is the net residue rate of the fixed asset and n is the depreciated year (service life).
The operating cost of the plant C e is related to the intermediate recovery Q'. The formula can be expressed as
Ce＝Q'·Pe (4-11)
Operating cost of straw equipment with P e as unit weight
Therefore, the pretreatment cost C d is
(3) Storage cost:
Crop straws belong to a large amount of light-foam articles, and a large amount of storage space is required for airing and storage. After stacking, the straws are subjected to timing temperature measurement. When the temperature rises to 40-50 ℃, preventive measures are taken, and temperature measurement records are made; when the temperature reaches 60-70 ℃, the stack is removed for heat dissipation, and fireproof preparation is carried out. The straw storage field is provided with fire-fighting facilities according to relevant regulations, is equipped with fire-fighting equipment, is placed at a place with obvious marks and convenient to take, and is stored and maintained by special people. The storage cost C s comprises lease fees of a warehouse, bundling and stacking of straws and manual management fees, and is related to the collection quantity Q and the unit storage cost P s, and the formula can be expressed as follows:
Cs＝Q·Ps＝π(R2-r2)·μ·Ps (4-13)
R is the harvesting radius of farmers, R is the harvesting radius of power plant straw
(4) Intermediate profit (first profit):
In the first purchase mode, according to the unified standard specified by the power generation enterprise, the power plant contracts with the intermediate business to specify the contents such as the number, quality, price and the like of purchase, and pay the cost of the intermediate business, namely the profit of the intermediate business. The middle quotient profit C b2 is:
where ω represents the unit profit of the intermediate quotient.
Based on the above analysis, the total cost of straw to power plant recovery is:
step 102, respectively increasing at least one part of the parameters by a preset percentage, calculating the change rate of the total cost after the parameter is increased, and taking the parameter generating the maximum change rate of the total cost as a key parameter;
the main parameters of the total cost of straw harvesting were analyzed for single factor sensitivity. For example, the intermediate-business collection radius r j (i.e., the first collection-point collection radius), the purchase price per unit straw P 0 (e.g., the purchase price per ton of straw), the intermediate-business unit transport price P t2 (e.g., the transport price per ton of straw per kilometer), and the unit profit ω of the intermediate business (i.e., the first purchase-mode unit profit) are respectively increased by 10%, 20%, 30%, 40%, 50%, 60%, respectively, and the change rate of the total collection cost is calculated, and the result is shown in fig. 5.
As can be seen by analyzing fig. 5, the change in the recovery radius of the intermediate manufacturer has the greatest effect on the total cost of recovery, and the power plant cost increases by 8.1% and 20.9% when the recovery radius of the intermediate manufacturer increases by 20% and 40%, respectively.
Step 103, determining the position of the straw storage point in the circular area based on the key parameters;
The transportation cost of the straw is the largest in the total harvesting cost, and as can be seen from the formula (4-4), the transportation cost of the straw storage point is in direct proportion to the cube of the harvesting radius, so that the transportation cost can be greatly reduced by optimizing the harvesting radius.
Next, the transportation cost versus the recovery radius was further analyzed.
Firstly, a biomass power plant raw material collection and transportation model is established on the basis of a micro-element analysis method. The collection range of each first collection point is R 1 (namely R j in the formula) with the collection and transportation model shown in figure 6, the first collection point 10 at the outermost ring is used as the first circle, the transportation distance is R-R 1, the transportation distance of the second circle is R-3R 1, the transportation distance of the third circle is R-5R 1, and the transportation distance of the nth circle is R- (2 n-1) R 1.
In addition, the number of the first storage points arranged in each circle is x i, and the number is obtained by dividing the circumference of the ring where the storage point center is located by the diameter of the storage point in a simplified calculation:
Wherein i is the number of turns of the first storage point.
In some examples, if R 1≤R-(2n-1)R1≤2R1, the straw around the biomass power plant 100 is provided by the second storage point 20 to reduce costs.
And then, constructing an optimization function containing the relation between the straw collection transportation cost, the number of the first storage points and the collection radius of the first storage points by using the model.
From the above analysis, the total transportation cost Y can be calculated as shown in the formulas (4-17):
Wherein P t2 is the unit transport price of the intermediate quotient, and ρ is the straw density.
In addition, it will be appreciated that,
In the above description, the first term Y 1 is the transportation cost of straw collection at each first collection and storage point, that is, a plurality of straw collection points are scattered and distributed within the range of the collection radius, and the transportation cost is the transportation cost generated in the process that the intermediate quotient transports the straw collected from each straw collection point to the center of the resource island; the second item Y 2 is the transportation cost from the first storage point to the biomass power plant; the third item Y 3 refers to the transportation cost of the surrounding first storage point uncovered area purchased by the biomass power plant directly from the second storage point; the fourth item Y 4 is the transport costs for collecting transport straw from a collection site built inside the biomass power plant.
And then solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points.
Deriving the optimization function (formula 4-17), and solving that when n=1, namely, arranging a circle of first storage points around the biomass power plant, wherein the collection radius of each first storage point is R 1 =0.25R, 9 storage points are required to be arranged through calculation, wherein the arrangement form is shown in fig. 7 (a), and black points in each first storage point represent straw collection points scattered in the collection radius range. At this time, the total cost calculated from the transportation cost is shown in the formula (4-18), and the cost Y' =0.22 pi ρp t2R3 can be saved.
When n=2, calculating R 1 =0.16r, arranging 16 first collecting points on the outermost ring and 10 second collecting points on the outer ring, wherein the arrangement form is shown in fig. 7 (b), and black points in each first collecting point represent each straw collecting point scattered in the range of the collecting radius. At this time, the calculated total cost is shown in the formula (4-19), and the cost Y' =0.27 pi f ρp t2R3 can be saved.
According to the solution, the arrangement condition of the second storage points when n is more than 2 can be sequentially obtained.
The number of turns of the intermediate quotient around the power plant is known, the formulas 4-17 are derived, and the obtained intermediate quotient recovery radius (namely the collection range of the first recovery point, namely the recovery radius of the first recovery point) R 1 is the optimized result.
And finally, determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius.
Specifically, each intermediate quotient resource island is arranged in a circular region according to the obtained intermediate quotient recovery radius R 1 and the number of turns n. Then, after n circles of the first storage points are arranged in the circular area in the above-described manner, the remaining center area is arranged with the second storage point (i.e., the farmer storage point).
Taking a biomass power plant which consumes 20 ten thousand tons of wheat straw in one year as an example, solving according to the calculation method. The harvesting density of the straw is 5.5 multiplied by 10 5kg/km2, the harvesting radius R is 40km, and when n=1, the harvesting radius of the first storage point is calculated to be 9.8km, so that 172.99 ten thousand yuan can be saved; when n=2, the recovery radius of the first recovery point is 6.29km, which can save 212.31 ten thousand yuan.
According to the method for determining the straw storage point around the biomass power plant, the method for determining the straw storage point around the biomass power plant can be further simplified. Similarly, the straw collection and storage points are located in a circular area with the biomass power plant as a center and the straw collection radius R of the biomass power plant as a radius, and comprise a plurality of first collection and storage points adopting a first collection mode and a plurality of second collection and storage points adopting a second collection and storage mode, as shown in fig. 8, and the method comprises the following steps:
Step 201, constructing a biomass power plant raw material collection and transportation model;
step 202, constructing an optimization function containing the relation between the straw collection transportation cost and the number of the first storage points and the collection radius of the first storage points by using the model;
and 203, solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points.
And 204, determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius.
The raw material collection and transportation model, the optimization function and the solving method of the biomass power plant are the same as those of the previous embodiment, and are not described in detail herein.
Under the condition that the first recovery radius is determined as a key parameter, the method of the embodiment is adopted to determine the positions of the straw recovery points around the biomass power plant, so that the calculation process can be simplified.
In addition, the invention also provides a device for determining the position of the straw collecting and storing points around the biomass power plant. As shown in fig. 9, the apparatus includes:
a first storage unit 301, configured to store a biomass power plant raw material collection and transportation model;
A second storage unit 302, configured to store an optimization function that is constructed by using the model and includes a relationship between the straw collection transportation cost, the number of the first storage points, and the collection radius of the first storage points;
and the calculating unit 303 is configured to solve the optimization function, obtain an optimal value of the number of the first storage points and the collection radius of the first storage points, and determine the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the optimal value.
The biomass power plant raw material collection and transportation model, the optimization function and the solving method of the device are the same as those of the previous embodiment, and are not repeated here.
In addition, the invention also provides an electronic device, as shown in fig. 10, which comprises: the method comprises a processor 401, a memory 402 and a program stored in the memory and capable of running on the processor, wherein the program is executed by the processor to realize the method for determining the storage point of the straw around the biomass power plant.
In addition, the invention also provides a readable storage medium, and the readable storage medium is stored with a program, and the program is executed by a processor to realize the method for determining the storage point position of the straw around the biomass power plant. The invention is that
According to the invention, the biomass power plant raw material collection and transportation model is established on the basis of the infinitesimal analysis method, the straw collection and transportation cost function relation is established by utilizing the model, and the optimal number and the collection radius of straw storage points are obtained by solving, so that the straw acquisition cost of the biomass power plant is reduced, and the biomass power generation efficiency is improved.
It should be understood that the processors mentioned in the embodiments of the present invention may be implemented by hardware or may be implemented by software. When implemented in hardware, the processor may be a logic circuit, an integrated circuit, or the like. When implemented in software, the processor may be a general purpose processor, implemented by reading software code stored in a memory.
Illustratively, the processor may be a central processing unit (central processing unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processing or, DSP), application Specific Integrated Circuits (ASIC), off-the-shelf programmable gate arrays (field programmable GATE ARRAY, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It should be understood that the memory referred to in embodiments of the present invention may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double DATA EATESDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and direct memory bus random access memory (directrambus RAM, DR RAM).
It should be noted that when the processor is a general purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, the memory (storage module) may be integrated into the processor.
It should be noted that the memory described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
Based on the same technical idea, an embodiment of the present invention also provides a computer storage medium comprising computer instructions that, when run on a computer, cause the above method to be performed.
Based on the same technical idea, embodiments of the present invention also provide a computer program product, which when run on a computer causes the above method to be performed.
It should be understood that all relevant contents of each step involved in the above method embodiments may be cited to the functional descriptions of the corresponding functional modules, and are not described herein.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, various modifications and alterations of this invention may be made by those skilled in the art without departing from the scope of this invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The method for determining the positions of the straw collection and storage points around the biomass power plant, wherein the straw collection and storage points are located in a circular area taking the biomass power plant as a circle center and taking the straw collection radius R of the biomass power plant as a radius, and the method comprises the steps of:
Constructing a biomass power plant raw material collection and transportation model;
constructing an optimization function containing the relation between the straw collection transportation cost and the number of the first storage points and the collection radius of the first storage points by using the model;
Solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points;
Determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius;
Let the straw harvesting radius of the first storage point be R 1, then the biomass power plant raw material collection and transportation model is: in the circular area, n circles of first storage points are arranged from outside to inside in the radial direction, and the number of the first storage points arranged in the ith circle is The transport distance from the first collecting and storing point of the ith circle to the straw of the biomass power plant is R- (2 i-1) R 1, i is more than or equal to 1 and less than or equal to n; arranging the second storage points in the central area remaining after n circles of the first storage points are arranged in the circular area in the above manner;
The first purchasing mode is an 'intermediate business-power plant' mode, and in the purchasing mode, the intermediate business uniformly collects, stores and transports the straws; the second purchasing mode is a 'farmer-power plant' mode, and farmers are responsible for collecting, airing, storing and transporting straw raw materials.
2. The method for determining the position of a straw collection and storage point around a biomass power plant according to claim 1, wherein,
The optimization function is Y=Y1+Y2+Y3+Y4, wherein Y is the total transportation cost of the straws in the circular area purchased by the biomass power plant, Y1 is the straw collection transportation cost of each first storage point, Y2 is the straw transportation cost from each first storage point to the biomass power plant, Y3 is the straw transportation cost from each second storage point to the biomass power plant, Y4 is the straw transportation cost in the biomass power plant, and Y1, Y2, Y3 and Y4 are functions of the number of turns of the first storage point arrangement and the straw collection radius of the first storage point.
3. The method for determining the storage point position of the straw around the biomass power plant according to claim 2, wherein the optimization function is derived to obtain the straw collection radius R 1 of the first storage point corresponding to different numbers of turns n.
4. The method for determining the straw collection and storage points around the biomass power plant is characterized by comprising the steps of:
calculating a total cost of harvesting of the straw to the biomass power plant based on the plurality of parameters, the total cost of harvesting including a cost of acquisition, a cost of a first acquisition mode, and a cost of a second acquisition mode;
Respectively increasing at least one part of the parameters by a preset percentage, calculating the change rate of the total cost of recovery after the parameter is increased, and taking the parameter generating the maximum change rate of the total cost of recovery as a key parameter;
Determining the position of the straw storage point in the circular area based on the key parameters;
the straw collection and storage points comprise a plurality of first collection and storage points adopting a first purchase mode and a plurality of second collection and storage points adopting a second purchase mode, and the distance between the first collection and storage points and the biomass power plant is larger than that between the second collection and storage points and the biomass power plant;
The key parameter is a first harvest radius of the storage point, and determining the position of the straw storage point in the circular area based on the key parameter comprises:
Constructing a biomass power plant raw material collection and transportation model, and constructing an optimization function containing the relation between straw collection and transportation cost, the number of first storage points and the collection radius of the first storage points by using the model;
Solving the optimization function to obtain the number of the first storage points and the optimal value of the recovery radius of the first storage points;
Determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the number of the first storage points and the optimal value of the collection radius;
Let the straw harvesting radius of the first storage point be R 1, then the biomass power plant raw material collection and transportation model is: in the circular area, n circles of first storage points are arranged from outside to inside in the radial direction, and the number of the first storage points arranged in the ith circle is The transport distance from the first collecting and storing point of the ith circle to the straw of the biomass power plant is R- (2 i-1) R 1, i is more than or equal to 1 and less than or equal to n; arranging the second storage points in the central area remaining after n circles of the first storage points are arranged in the circular area in the above manner;
The first purchasing mode is an 'intermediate business-power plant' mode, and in the purchasing mode, the intermediate business uniformly collects, stores and transports the straws; the second purchasing mode is a 'farmer-power plant' mode, and farmers are responsible for collecting, airing, storing and transporting straw raw materials.
5. The method of claim 4, wherein the at least a portion of the parameters include a first harvest radius, a purchase price, a first purchase pattern shipping price, a first purchase pattern unit profit.
6. The utility model provides a straw storage point location determining means around biomass power plant, straw storage point is located regard biomass power plant as the centre of a circle, takes biomass power plant straw acquisition radius R as the circular region of radius, including adopting a plurality of first storage points of first acquisition mode and adopting a plurality of second storage points of second acquisition mode, its characterized in that, this device includes:
the first storage unit is used for storing a biomass power plant raw material collection and transportation model;
The second storage unit is used for storing an optimization function which is constructed by using the model and contains the relation between the straw collection transportation cost, the number of the first storage points and the collection radius of the first storage points;
The calculation unit is used for solving the optimization function, obtaining the quantity of the first storage points and the optimal value of the collection radius of the first storage points, and determining the positions of the first storage points and the second storage points in the circular area based on the biomass power plant raw material collection and transportation model according to the optimal value; let the straw harvesting radius of the first storage point be R 1, then the biomass power plant raw material collection and transportation model is: in the circular area, n circles of first storage points are arranged from outside to inside in the radial direction, and the number of the first storage points arranged in the ith circle is The transport distance from the first collecting and storing point of the ith circle to the straw of the biomass power plant is R- (2 i-1) R 1, i is more than or equal to 1 and less than or equal to n; arranging the second storage points in the central area remaining after n circles of the first storage points are arranged in the circular area in the above manner;
The first purchasing mode is an 'intermediate business-power plant' mode, and in the purchasing mode, the intermediate business uniformly collects, stores and transports the straws; the second purchasing mode is a 'farmer-power plant' mode, and farmers are responsible for collecting, airing, storing and transporting straw raw materials.
7. An electronic device, comprising: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor, implements the method for determining the location of straw receptacles around a biomass power plant as claimed in any one of claims 1 to 5.
8. A readable storage medium, wherein a program is stored on the readable storage medium, and the program when executed by a processor implements the method for determining a location of straw storage points around a biomass power plant according to any one of claims 1 to 5.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101356876A (en) * | 2008-08-05 | 2009-02-04 | 黄家笙 | Comprehensive collection utilization method of agricultural crop straw |
| CN101532673A (en) * | 2008-03-12 | 2009-09-16 | 国电龙源电力技术工程有限责任公司 | Biomass power plant fuel system |
| CN102124873A (en) * | 2010-01-20 | 2011-07-20 | 国电龙源电力技术工程有限责任公司 | Collecting, storing and transporting system of biomass power plant |
| CN102903025A (en) * | 2012-09-10 | 2013-01-30 | 中国科学院地理科学与资源研究所 | Method for planning enterprise scale and spatial layout for straw resource energy utilization |
| CN103970960A (en) * | 2014-05-23 | 2014-08-06 | 湘潭大学 | Grid-free Galerkin method structural topology optimization method based on GPU parallel acceleration |
| CN105886377A (en) * | 2016-06-04 | 2016-08-24 | 李俊 | Spiral type anaerobic fermentation method for making clean energy from plant straw |
| CN106200585A (en) * | 2016-08-09 | 2016-12-07 | 韩连富 | A kind of biomass power generation system based on Internet of Things and method |
| CN106755132A (en) * | 2017-03-24 | 2017-05-31 | 黑龙江中丹建业生物能源有限公司 | Produce the briquetting stalk preparation method of cellulosic ethanol |
| CN108624625A (en) * | 2017-03-22 | 2018-10-09 | 华东理工大学 | A kind of lignocellulosic material supply model being suitable for Large Scale Biology refining |
| CN109508890A (en) * | 2018-11-20 | 2019-03-22 | 哈尔滨工业大学 | The calculation method that biomass thermal power plant raw material bleeding point influences transportation cost |
| CN110298474A (en) * | 2019-04-28 | 2019-10-01 | 武汉理工大学 | A kind of logistics centers location method of the ship stores spare part based on AIS and GIS |
| CN110597133A (en) * | 2019-09-23 | 2019-12-20 | 韩连富 | Energy conversion system and method based on industrial internet |
| CN113240281A (en) * | 2021-05-14 | 2021-08-10 | 邓润阳 | Cloud storage and cloud logistics management method and system based on electronic commerce |
-
2021
- 2021-08-20 CN CN202110957247.2A patent/CN113642799B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101532673A (en) * | 2008-03-12 | 2009-09-16 | 国电龙源电力技术工程有限责任公司 | Biomass power plant fuel system |
| CN101356876A (en) * | 2008-08-05 | 2009-02-04 | 黄家笙 | Comprehensive collection utilization method of agricultural crop straw |
| CN102124873A (en) * | 2010-01-20 | 2011-07-20 | 国电龙源电力技术工程有限责任公司 | Collecting, storing and transporting system of biomass power plant |
| CN102903025A (en) * | 2012-09-10 | 2013-01-30 | 中国科学院地理科学与资源研究所 | Method for planning enterprise scale and spatial layout for straw resource energy utilization |
| CN103970960A (en) * | 2014-05-23 | 2014-08-06 | 湘潭大学 | Grid-free Galerkin method structural topology optimization method based on GPU parallel acceleration |
| CN105886377A (en) * | 2016-06-04 | 2016-08-24 | 李俊 | Spiral type anaerobic fermentation method for making clean energy from plant straw |
| CN106200585A (en) * | 2016-08-09 | 2016-12-07 | 韩连富 | A kind of biomass power generation system based on Internet of Things and method |
| CN108624625A (en) * | 2017-03-22 | 2018-10-09 | 华东理工大学 | A kind of lignocellulosic material supply model being suitable for Large Scale Biology refining |
| CN106755132A (en) * | 2017-03-24 | 2017-05-31 | 黑龙江中丹建业生物能源有限公司 | Produce the briquetting stalk preparation method of cellulosic ethanol |
| CN109508890A (en) * | 2018-11-20 | 2019-03-22 | 哈尔滨工业大学 | The calculation method that biomass thermal power plant raw material bleeding point influences transportation cost |
| CN110298474A (en) * | 2019-04-28 | 2019-10-01 | 武汉理工大学 | A kind of logistics centers location method of the ship stores spare part based on AIS and GIS |
| CN110597133A (en) * | 2019-09-23 | 2019-12-20 | 韩连富 | Energy conversion system and method based on industrial internet |
| CN113240281A (en) * | 2021-05-14 | 2021-08-10 | 邓润阳 | Cloud storage and cloud logistics management method and system based on electronic commerce |
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|---|---|
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