JP2006099285A - Method, system and program for supporting plan of utilizing biomass - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To increase the accuracy of cost evaluation by calculating with greater accuracy the distance needed to collect and transport biomass resources. <P>SOLUTION: A system 1 for supporting the plan of utilizing biomass includes a means 2 for creating biomass distribution information; a means 3 for creating information about the best location of biomass utilization facilities; a means 4 for creating information about the best collection path for biomass resources; and a means 5 for evaluating the biomass utilization facilities for economic efficiency. The means 2 for creating the biomass distribution information outputs a biomass distribution chart that fits an inputted area and period. The means 3 for creating information about the best location and the means 4 for creating information about the best collection path use line data that match the actual road configuration to calculate the distance over which the biomass resources are transported, and output the location of the facilities and relay points such that the distance is minimized. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a biomass utilization plan support method, system, and program. More specifically, the present invention uses GIS (Geographic Information System) technology to evaluate biomass distribution, optimal arrangement of biomass utilization facilities, optimum collection path of biomass resources, and economic evaluation of biomass utilization business. The present invention relates to a method, a system, and a program.

  Conventionally, various organizations and researchers have estimated the amount of biomass resources generated (existing amount), and the geographical distribution of biomass resources is estimated based on statistical data over a relatively wide area, such as by prefecture. be able to.

  Moreover, in the formulation of the optimal location of the biomass power generation facility and the formulation of the optimal biomass resource collection plan, conventionally, as disclosed in Non-Patent Document 1, for example, one side of the mesh section displayed on the map is conventionally used. As a basic unit of distance, calculate the distance of the biomass resource collection route, calculate the collection cost using the calculated total distance of the collection route, and based on the collection cost, plan the planned facility construction site and biomass An evaluation (economic evaluation) is conducted to determine whether the resource collection plan is economically appropriate. In the case of the above prior art, for example, in the example shown in FIG. 21, the distance from the point A to the point B is 4L, where L is the length of one side of the mesh section.

Tsuji, Masayuki Sakazaka (2003) “Economic Evaluation of Garbage Collection System in Chiba City Using Mesh Data” Geographical Information Systems Society Proceedings Vol.12, p123-126

  However, since the biomass distribution information obtained in the past is based on statistical data covering a wide area such as prefecture units, the detailed biomass distribution in the planned construction area of the biomass utilization facility and the surrounding area is unknown. It is difficult to effectively use it as a material for use business planning and economic evaluation.

  In addition, since biomass resources exist “widely and thinly”, reduction of collection costs is a major issue. However, in the formulation of the optimal location of the conventional biomass power generation facility and the formulation of the optimal biomass resource collection plan, since one side of the mesh section displayed on the map is the basic unit of distance, the accuracy of cost evaluation is It depends on the resolution of the mesh. There is a limit to expressing a complex boundary shape region, road, or the like as a set of meshes or a set of sides of meshes. For example, as shown in FIG. The difference from the distance 4L when one side of the section is the basic unit of distance is large, and it is difficult to perform cost evaluation with high accuracy.

  Accordingly, an object of the present invention is to provide a biomass utilization plan support method, system, and program capable of creating detailed biomass distribution information that can be effectively used as a material for performing a biomass utilization business plan and its economic evaluation. In addition, the present invention more accurately calculates the distance required for collecting and transporting biomass resources to improve the accuracy of cost evaluation when formulating the optimal location for biomass utilization facilities and the optimal collection route for biomass resources. It is an object to provide a biomass utilization plan support method, system and program that can evaluate the economic efficiency of various biomass utilization projects.

  In order to achieve this object, the biomass utilization plan support method according to claim 1 includes an initial data input step for inputting biomass information and geographic information including at least a biomass generation place information and a biomass amount information, and regional conditions. It has at least a condition information input step for inputting condition information including at least information, and a biomass distribution information output step for outputting biomass quantity information corresponding to the input condition information in association with the geographic information.

  In addition, the biomass utilization plan support system according to claim 15 includes at least initial data input receiving means for receiving input of biomass information and geographical information including at least biomass generation location information and biomass amount information, and regional condition information. It includes at least condition information input receiving means for receiving input of condition information including, and biomass distribution information output means for outputting biomass quantity information corresponding to the inputted condition information in association with the geographic information.

  Moreover, the biomass utilization plan support program according to claim 19 includes: initial data input receiving means for receiving input of biomass information and geographical information including at least biomass generation place information and biomass amount information; and at least regional condition information. The computer functions as a condition information input receiving unit that receives input of condition information including, and a biomass distribution information output unit that outputs biomass amount information corresponding to the input condition information in association with the geographic information. .

  Therefore, it is possible to obtain biomass distribution information that is more detailed than wide-area data such as prefecture units, for example, extremely detailed information such as city and village units or town chome units.

  Further, the invention according to claim 2 is the biomass utilization plan support method according to claim 1, wherein the biomass generation location information is surrounded by point data indicating one geographical point or three or more geographical vertices. It is assumed that the polygon data indicates the selected polygon. In this case, accurate position information can be set according to the type and characteristics of the biomass resource.

  The invention according to claim 3 is the biomass utilization plan support method according to claim 1 or 2, wherein the biomass distribution information output step displays biomass amount information corresponding to the inputted condition information on a map. A biomass distribution map is output. In this case, the user can visually grasp the situation of the regional distribution of biomass.

  The invention according to claim 4 is the biomass utilization plan support method according to any one of claims 1 to 3, wherein the regional condition information is a buffer unit based on line data constituting road information, It can be specified in administrative boundaries and in mesh units where the map is divided into a grid. In this case, it is possible to obtain biomass distribution information not only in the designation of regional conditions in units of meshes but also in administrative boundaries and areas along roads.

  The invention according to claim 5 is the biomass utilization plan support method according to any one of claims 1 to 4, wherein the biomass information includes one or both of biomass species information and biomass generation time information, The condition information includes time condition information.

  The invention according to claim 6 is the biomass utilization plan support method according to any one of claims 1 to 4, wherein the biomass amount information is set for each period, and the condition information is a period condition. It contains information.

  Therefore, it is possible to grasp the time variation (seasonal variation) of the biomass distribution.

  Moreover, the biomass utilization plan support method of Claim 7 is a method of searching the optimal location point of a biomass utilization facility, the biomass distribution information with which biomass amount information and geographic information were linked | related, the node which has coordinate information, and An initial data setting step for setting road information represented by line data connecting nodes and an initial parameter including at least a required amount of biomass of the biomass utilization facility; a biomass generation location of the biomass distribution information; A processing road information creation step for creating processing road information generated as a new node in the information, a mesh generation step for generating a mesh obtained by dividing the map of the biomass distribution information in a grid pattern, and the mesh at a fixed position of the mesh Assuming that there is a biomass utilization facility, A transport distance calculating step for calculating the transport distance required to collect the amount in order from the nearest biomass generation place to the biomass use facility using the processed road information, and the calculation using the calculated transport distance An optimal location point output step of outputting the fixed location of the mesh that minimizes the collected cost as the optimal location point of the biomass utilization facility.

  Moreover, the biomass utilization plan support system of Claim 16 is a system which searches the optimal location point of a biomass utilization facility, the biomass distribution information with which biomass amount information and geographic information were linked | related, the node which has coordinate information, and Initial data setting means for setting road information represented by line data connecting between nodes, and initial parameters including at least a required amount of biomass of the biomass utilization facility, and a biomass generation location of the biomass distribution information, the road Processing road information creation means for creating processing road information generated as a new node in the information, mesh generation means for generating a mesh obtained by dividing the map of the biomass distribution information in a grid, and the mesh at a fixed position of the mesh Assuming that there is a biomass utilization facility, the required biomass Transport distance calculation means for calculating the transport distance required to collect the biomass from the nearest biomass generation site to the biomass utilization facility using the processed road information, and the calculated transport distance. And an optimum location point output means for outputting the fixed location of the mesh that minimizes the collection cost as the optimum location point of the biomass utilization facility.

  The biomass utilization plan support program according to claim 20 is a program that causes a computer to function as a system for searching for an optimal location of a biomass utilization facility, and biomass distribution information in which biomass amount information and geographic information are associated with each other, Initial data setting means for setting road information represented by nodes having coordinate information and line data connecting the nodes, and initial parameters including at least a required biomass amount of the biomass utilization facility, and biomass of the biomass distribution information A processing road information creating means for creating processing road information generated as a new node in the road information, a mesh generation means for generating a mesh obtained by dividing the map of the biomass distribution information in a grid, The biomass at a fixed position on the mesh A transport distance calculating means for calculating a transport distance required to collect the required amount of biomass in order from the nearest biomass generation site to the biomass using facility, using the processed road information, The computer functions as an optimum location point output means for outputting the fixed location of the mesh that minimizes the collection cost calculated using the calculated transport distance as the optimum location point of the biomass utilization facility. Yes.

  Therefore, since the line data according to the actual road shape is used for the calculation of the transportation distance, it is much more accurate than the transportation distance calculated using one side of the mesh section as a basic unit of distance as in the prior art. As a result, more accurate transportation distance can be obtained. Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the collection cost is the lowest based on a more accurate transportation distance. The arrangement position of the biomass utilization facility can be obtained.

  The invention according to claim 8 is the biomass utilization plan support method according to claim 7, wherein the mesh corresponding to an area where the construction of the biomass utilization facility is impossible is used as the transport distance calculating step or the optimum location point. It is excluded from the target of the output step. In this case, land use in other projects has already been decided, or an area that is not suitable as a facility construction candidate site from the viewpoint of natural environment, disaster prevention, existence of cultural assets, population, etc. Can be excluded.

  The invention according to claim 9 is the biomass utilization plan support method according to claim 7 or 8, wherein the biomass distribution information is biomass of the biomass utilization plan support method according to any one of claims 1 to 6. It is assumed that it is obtained in the distribution information output step. In this case, the biomass distribution information obtained by the present invention can be used effectively.

  The invention according to claim 10 is the biomass utilization plan support method according to any one of claims 7 to 9, wherein the optimum location point output step displays the optimum location point of the biomass utilization facility on a map. The optimum layout of the displayed biomass utilization facility is output. In this case, the user can visually grasp the optimum arrangement position of the biomass utilization facility.

  The biomass utilization plan support method according to claim 11 is a method for searching for an optimum collection route of biomass resources, and includes a biomass distribution information in which biomass amount information and geographic information are associated, and nodes and nodes having coordinate information. Using the road information represented by the line data connecting between the processing road information generated as a new node in the road information, the biomass generation location of the biomass distribution information, the location information of the biomass utilization facility, A geographical condition setting step for setting a transport condition, a transport condition setting step for setting a transport condition including at least a transport amount condition of the means of transport, and one or more relay points and a necessary amount of biomass resources to be collected at each relay point are set. At the relay point setting step, and for each relay point, the required collection amount is satisfied under the transport conditions. The collection route distance required to collect the biomass amount in order from the nearest biomass generation site is calculated using the processed road information, and the collected biomass resources are transferred from the relay points to the biomass under the transport conditions. Using the processed road information, calculate the relay point-to-facility transport distance required to transport to the use facility, and from the sum of the collection route distance and the relay point-to-facility transport distance for all the relay points A collection route distance calculation step for obtaining a total collection route distance of biomass resources, changing a relay point set in the relay point setting step, and repeatedly performing the collection route distance calculation step for each change, Optimal collection information that outputs the set of relay points that minimizes the collection cost calculated using the total collection route distance as the optimal relay point. So that an output step.

  The biomass utilization plan support system according to claim 17 is a system for searching for an optimum collection route of biomass resources, and includes a biomass distribution information in which biomass amount information and geographic information are associated, and nodes and nodes having coordinate information. Using the road information represented by the line data connecting between the processing road information generated as a new node in the road information, the biomass generation location of the biomass distribution information, the location information of the biomass utilization facility, A geographical condition setting means for setting a transportation condition, a transportation condition setting means for setting a transportation condition including at least a transportation amount condition of the transportation means, one or more relay points, and a necessary collection amount of biomass resources to be collected at each relay point For the relay point setting means and the relay point, the required collection amount is satisfied under the transport conditions. Using the processed road information, a collection route distance required to sequentially collect an iomas amount from the nearest biomass generation site is calculated, and the collected biomass resources are used from the relay points under the transportation conditions. The transit point-to-facility transport distance required to transport to the facility is calculated using the processed road information, and the biomass is calculated from the sum of the collection route distance and the relay point-to-facility transport distance for all the relay points. A collection route distance calculation unit for obtaining a total collection route distance of resources, and a relay point set by the relay point setting unit are changed, and for each change, the calculation of the total collection route distance is repeated, and the total collection route distance Optimal collection information output means for outputting, as an optimal relay point, the set of relay points that minimizes the collection cost calculated using the distance. .

  The biomass utilization plan support program according to claim 21 is a program that causes a computer to function as a system for searching for an optimal collection path of biomass resources, and includes biomass distribution information in which biomass amount information and geographic information are associated, coordinates Processed road information generated using a node having information and road information represented by line data connecting between the nodes as a new node in the road information, where the biomass generation location of the biomass distribution information is generated, and biomass Geographic condition setting means for setting location information of the use facility, transportation condition setting means for setting transportation conditions including at least the transportation amount condition of the transportation means, one or more relay points, and biomass resources collected at each relay point Relay point setting means to set the required collection amount, and for each relay point The collection route distance required to collect the biomass amount satisfying the necessary collection amount under the transportation conditions in order from the nearest biomass generation place is calculated using the processed road information, and the collected biomass resources are transported. Using the processed road information, the transport point-to-facility transport distance required for transporting from each relay point to the biomass utilization facility under the conditions is calculated, and the collection route distances for all the relay points and the The collection route distance calculation means for obtaining the total collection route distance of biomass resources from the sum of the relay point-facility transport distance and the relay point set by the relay point setting means are changed, and the total collection is performed for each change. The calculation of the route distance is repeated, and the set of relay points at which the collection cost calculated using the total collected route distance is the minimum is determined as the optimum relay point. As the optimal collecting information output means for outputting Te, so that causes the computer to function.

  Therefore, since the line data according to the actual road shape is used to calculate the total collected route distance, it is much more compared with the route distance calculated using one side of the mesh section as a basic unit of distance as in the prior art. The accuracy increases and a more accurate route distance can be obtained. Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the cost of collection is the lowest based on a more accurate path distance. A relay point and a collection route can be obtained.

  The invention according to claim 12 is the biomass utilization plan support method according to claim 11, wherein the optimum collection information output step displays the optimum relay point and a biomass resource collection route based on the optimum relay point on a map. The optimal collection map of biomass resources displayed in is output. In this case, the user can visually grasp the optimum position and optimum collection route of the relay point used for collecting biomass resources.

  The invention according to claim 13 is the biomass utilization plan support method according to claim 11 or 12, wherein the location information of the biomass utilization facility is the biomass utilization plan support according to any one of claims 7 to 10. It is assumed that the optimal location point output step of the method is obtained. In this case, the optimum collection information can be obtained using the location information of the biomass utilization facility obtained by the present invention.

  The invention according to claim 14 is the biomass utilization plan support method according to any one of claims 7 to 13, wherein the biomass utilization facility is a biomass power generation facility, and is based on the calculated collection cost. In addition, an economic evaluation process for calculating and outputting one or both of the biomass usage unit price and the power generation unit price is provided.

  The invention according to claim 18 is the biomass utilization plan support system according to claim 16 or 17, wherein the biomass utilization facility is a biomass power generation facility, and based on the calculated collection cost, It has an economic evaluation means that calculates and outputs one or both of the power generation unit prices.

  The invention according to claim 22 is the biomass utilization plan support program according to claim 20 or 21, wherein the biomass utilization facility is a biomass power generation facility, and based on the calculated collection cost, The computer is made to function as an economic evaluation means for calculating and outputting one or both of the power generation unit prices.

  Therefore, it is possible to determine whether a biomass power generation business plan (location point of biomass power generation facility or biomass resource collection route) is economically appropriate using the biomass unit price or power generation unit price as an index.

  According to the biomass utilization plan support method according to claim 1, the biomass utilization plan support system according to claim 15, and the biomass utilization plan support program according to claim 19, for example, a city that is more detailed than wide-area data such as prefecture units It is possible to obtain extremely detailed biomass distribution information such as the unit of city, town and village and the unit of town chome.

  Furthermore, according to the biomass utilization plan support method according to the second aspect, since the biomass generation location information is set to point data or polygon data, accurate position information can be set according to the type and characteristics of the biomass resource.

  Furthermore, according to the biomass utilization plan support method of Claim 3, since a biomass distribution map is output, the user can grasp | ascertain the situation of the regional distribution of biomass amount visually.

  Furthermore, according to the biomass utilization plan support method according to claim 4, the regional condition information can be specified in units of buffers based on line data constituting road information, administrative boundaries, and meshes obtained by dividing a map into grids. Therefore, it is possible to obtain biomass distribution information not only in the designation of regional conditions in units of meshes but also in the administrative boundaries and areas along roads.

  Furthermore, according to the biomass utilization plan support method of claims 5 and 6, since the condition information includes the time condition information, it is possible to grasp the time variation (seasonal variation) of the biomass distribution.

  In addition, according to the biomass utilization plan support method according to claim 1, the biomass utilization plan support system according to claim 16, and the biomass utilization plan support program according to claim 20, the transport distance is calculated in reality. Because line data is used in line with the road shape of the road, the accuracy is significantly improved compared to the transport distance calculated using one side of the mesh section as the basic unit of distance as in the prior art, and a more accurate transport distance is obtained. be able to. Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the collection cost is the lowest based on a more accurate transportation distance. The arrangement position of the biomass utilization facility can be obtained.

  Furthermore, according to the biomass utilization plan support method described in claim 8, land use in other projects has already been decided, or a facility construction candidate site from the viewpoint of natural environment, disaster prevention, existence of cultural assets, population, etc. Inappropriate areas can be excluded from the proposed site for facility construction.

  Furthermore, according to the biomass utilization plan support method of the ninth aspect, the optimum location point of the biomass utilization facility can be obtained by effectively utilizing the biomass distribution information obtained in the present invention.

  Furthermore, according to the biomass utilization plan support method of Claim 10, since the optimal arrangement | positioning map of biomass utilization facilities is output, the user can grasp | ascertain the optimal arrangement position of biomass utilization facilities visually.

  Further, according to the biomass utilization plan support method according to claim 11, the biomass utilization plan support system according to claim 17, and the biomass utilization plan support program according to claim 21, an actual road shape is calculated for calculating the total collection route distance. Since the line data conforming to the above is used, compared with the route distance calculated by using one side of the mesh section as a basic unit of distance as in the prior art, the accuracy is significantly improved, and a more accurate route distance can be obtained. . Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the cost of collection is the lowest based on a more accurate path distance. A relay point and a collection route can be obtained.

  Furthermore, according to the biomass utilization plan support method of claim 12, since the optimum collection map of the biomass resource is output, the user visually determines the optimum position and the optimum collection route of the relay point used for collecting the biomass resource. I can grasp.

  Furthermore, according to the biomass utilization plan support method of the thirteenth aspect, the optimum collection information can be obtained by using the location information of the biomass utilization facility obtained by the present invention.

  Furthermore, according to the biomass utilization plan support method according to claim 14, the biomass utilization plan support system according to claim 18, and the biomass utilization plan support program according to claim 22, the biomass use unit price and the power generation unit price are indicated. As described above, it is possible to determine whether or not a biomass power generation business plan (location point of biomass power generation facility or biomass resource collection route) is economically appropriate.

  According to the present invention, it is possible to examine which point in which region (in which season) it is economically preferable to install a biomass utilization facility or a biomass resource collection relay point at which point. In addition, various conditions (time conditions, relay point locations, number of relay points, transportation conditions, etc.) are changed, and various materials (biomass distribution map, optimal layout of biomass utilization facilities, optimal collection of biomass resources) corresponding to each condition (Economic Evaluation Chart)), these materials can be used for the regional biomass power generation feasibility study (FS survey). Thereby, the decision-making regarding a biomass utilization plan can be supported.

  Hereinafter, the configuration of the present invention will be described in detail based on embodiments shown in the drawings.

  1 to 20 show an embodiment of a biomass utilization plan support method, system and program of the present invention. As shown in FIG. 2, for example, the biomass utilization plan support method of the present embodiment includes a process for creating biomass distribution information (S1), a process for creating optimum location information for biomass utilization facilities (S2), and an optimization of biomass resources. It is mainly composed of four processes: a collection path information creation process (S3) and an economic evaluation process (S4) of the biomass utilization facility.

  For example, as shown in FIG. 3, the biomass distribution information creation process (S1) includes an initial data input step (S101) for inputting biomass information and geographic information including at least biomass generation location information and biomass amount information. A condition information input step (S102) for inputting condition information including at least regional condition information, and a biomass distribution information output step (S103) for outputting biomass quantity information corresponding to the input condition information in association with geographic information. Have.

  In addition, as shown in FIG. 4, for example, as illustrated in FIG. 4, the optimal location point information creation process (S2) of the biomass use facility includes biomass distribution information in which biomass amount information and geographic information are associated with each other, and nodes having coordinate information. Initial data setting step (S201) for setting the road information represented by the line data connecting the two and the initial parameters including at least the required biomass amount of the biomass utilization facility, and the biomass generation location of the biomass distribution information in the road information A processing road information generation step (S202) for generating processing road information generated as a new node, a mesh generation step (S203) for generating a mesh obtained by dividing a map of biomass distribution information into a grid, and a fixed position of the mesh Assuming that there is a biomass utilization facility in the A transport distance calculating step (S204) for calculating the transport distance required to collect the biomass generation facility in order from the biomass generation location using the processed road information, and the collection cost calculated using the calculated transport distance is An optimal location point output step (S205) for outputting the minimum fixed mesh position as the optimal location point of the biomass utilization facility.

  In addition, as illustrated in FIG. 5, for example, as illustrated in FIG. 5, the biomass resource optimum collection route information creation process (S3) is performed between biomass distribution information in which biomass amount information and geographic information are associated, and nodes having coordinate information. Geography to set the processing road information generated as a new node in the road information and the location information of the biomass using facility using the road information represented by the connected line data A condition setting step (S302), a transportation condition setting step (S303) for setting transportation conditions including at least the transportation amount condition of the means of transportation, and one or more relay points and the required collection amount of biomass resources to be collected at each relay point. The relay point setting step (S304) to be set, and the necessary data for each relay point under the set transportation conditions. The processing route information is used to calculate the collection route distance required to sequentially collect the amount of biomass that satisfies the amount from the nearest biomass generation site, and the collected biomass resources are determined from each relay point under the set transportation conditions. Calculate the transport distance between the relay point and the facility required for transport to the biomass-using facility using the processed road information, and calculate the biomass resource from the sum of the collection route distance and the relay point-the transport distance between the relay points for all the relay points. A collection route distance calculation step (S305) for obtaining a total collection route distance, and the position and number of relay points set in the relay point setting step are changed (S306; Yes, S304). A route distance calculation step is repeatedly performed (S305), and a set of relay points at which the collection cost calculated using the total collection route distance is minimized, It has an optimum collecting information output step of outputting as a suitable relay point (S309).

  Here, the biomass utilization facility of the present embodiment is assumed to be a biomass power generation facility. In the economic evaluation process (S4) of the biomass utilization facility, one or both of the biomass utilization unit price and the power generation unit price are calculated and output based on the calculated collection cost.

  The biomass utilization plan support method is implemented as a biomass utilization plan support system 1. For example, as shown in FIG. 1, the biomass utilization plan support system 1 includes biomass distribution information creation means 2, optimum location information creation means 3 for biomass utilization facilities, optimum collection path information creation means 4 for biomass resources, And an economic evaluation means 5 of the biomass utilization facility.

  The biomass distribution information creation means 2 executes a biomass distribution information creation process (S1), and receives initial input of biomass information and geographic information as described above, and initial condition information input acceptance means 11 that receives input of the above-described condition information. Input receiving means 12 and biomass distribution information output means 13 for outputting biomass quantity information corresponding to the inputted condition information in association with geographic information are provided.

  The optimum location point information creation means 3 of the biomass use facility executes the creation process (S2) of the optimum location point information of the biomass use facility, and includes at least the biomass distribution information, the road information, and the required biomass amount of the biomass use facility. Initial data setting means 21 for setting initial parameters, processed road information creating means 22 for creating processed road information in which the biomass generation location of the biomass distribution information is generated as a new node in the road information, and the biomass distribution information Assuming that there is a mesh generating means 23 for generating a mesh obtained by dividing a map into a grid and a biomass using facility at a fixed position of the mesh, the required biomass amount is collected from the nearest biomass generation site to the biomass using facility in order. Distance calculation means for calculating the transportation distance required for processing using processed road information 4, has a certain position of the mesh collection cost is calculated using the calculated transport distance is minimized and a optimum location point output unit 25 for outputting the optimal location point of biomass utilization facility.

  The biomass resource optimum collection route information creation means 4 executes the creation process (S3) of the biomass resource optimum collection route information, and sets the above-described processed road information and the location information of the biomass utilization facility. 31, a transportation condition setting means 32 for setting transportation conditions including at least a transportation amount condition of the transportation means, one or more relay points, and a relay point setting means 33 for setting a necessary collection amount of biomass resources to be collected at each relay point For each relay point, the processing route information is used to calculate the collection route distance required to collect the biomass amount that satisfies the required collection amount under the set transportation conditions in order from the nearest biomass generation location, and Transportation distance between the relay point and facility required to transport the collected biomass resources from each relay point to the biomass-using facility under the set transportation conditions A collection route distance calculating means 34 for calculating the total collection route distance of biomass resources from the sum of the collection route distances and the relay point-facility transport distances for all relay points; The position and number of relay points set by the setting means 33 are changed, and for each change, the calculation of the total collection route distance is repeated, and the relay point at which the collection cost calculated using the total collection route distance is minimized And an optimal collection information output means 35 for outputting the set as an optimal relay point.

  The economic evaluation means 5 of the biomass utilization facility executes the economic evaluation process (S4) of the biomass utilization facility, and calculates and outputs one or both of the biomass utilization unit price and the power generation unit price based on the calculated collection cost. Like to do.

  The biomass utilization plan support system 1 is realized by, for example, an existing or new computer (computer) 40. For example, as shown in FIG. 6, the computer 40 includes a central processing unit (CPU) 41, a storage device 42 such as a RAM, a ROM, and a hard disk, an input device 43 such as a keyboard and a mouse, and an output device 44 such as a display and a printer. Hardware resources such as a data reader 45 such as a disk drive for reading data recorded on a medium such as a CD or FD are connected by a bus 46. By executing the biomass utilization plan support program according to the present invention on this computer 40, the computer 40 functions as each means of the biomass utilization plan support system 1. Hereinafter, the content of the process which each means of the biomass utilization plan support system 1 performs is demonstrated in detail.

  First, the biomass distribution information creation process (S1 in FIG. 2) will be described. In the initial data input step (S101 in FIG. 3), biomass information and geographic information are input to the computer 40 via one or both of the input device 43 and the data reader 45, and are recorded in the storage device. Biomass information includes biomass generation location information. The biomass generation location information in the present embodiment is point data indicating a geographical point or polygon data indicating a polygon surrounded by three or more geographical points. The point data is represented by coordinate information indicating a specific point in the geographical area. When the coordinate information is a latitude / longitude coordinate system, the coordinate information is converted into a UTM (Universal Transverse Mercator Projection) coordinate system or a plane rectangular coordinate system in which the distance is accurately expressed. Polygon data is represented, for example, by a plurality of point data constituting the vertexes of a polygon. In this embodiment, as a data format for managing biomass information, for example, an existing GIS (Geographic Information System) data format is used. Thereby, biomass information can be handled similarly to the existing GIS data. GIS data is generally composed of geographic data (position and topology) in three types of format: point data (points), line data (lines), and polygon data (surfaces), and attribute information associated therewith. Reference numeral 51 in FIG. 7 shows an example of point data, reference numeral 52 shows an example of line data, and reference numeral 53 shows an example of polygon data. Reference numeral 59 denotes a node connected by line data.

  For example, for biomass resources generated at points on the map, the biomass generation location information is used as point data. Biomass resources generated at points include wastes from business establishments and factories (specifically sawmills and livestock farms) where the point of occurrence can be identified, such as factory residue, livestock sludge, sewage sludge, animal residues (Food waste), park pruning scraps collected at a time, living and business-related moss (food waste), etc.

  On the other hand, for biomass resources generated on the map, the biomass generation location information is polygon data. Biomass resources generated on the surface include those that cannot be identified at one point because biomass resources are generated over a wide range, such as forest land residues (conifers and broadleaf trees) and agricultural residues.

  The biomass amount information is associated with the biomass generation location information as attribute information of GIS data. For example, in this embodiment, the biomass output per day (kg / day) at the corresponding biomass generation source (point or surface) is set as the biomass amount information. Further, the amount of biomass (available amount) per day that can be obtained from the biomass generation source by the biomass utilization facility is set as the biomass amount information. In addition, you may make it represent biomass quantity not with weight but with energy.

  In the present embodiment, biomass type information indicating the type of biomass is included in the biomass information. Biomass species information is associated with the biomass generation location information as attribute information of GIS data. Since the generation time of the biomass resource can be known from the biomass species information, it is possible to obtain biomass distribution information by season or season by including the biomass species information in the biomass information. FIG. 8 shows an example of the data structure of biomass information. Note that the biomass generation time information may be included in the biomass information in addition to the biomass species information or instead of the biomass species information. In addition, since the output of biomass resources may vary depending on the season, for example, as shown in FIG. 9, the biomass amount information may be set for each period (month or season).

  The geographic information input together with the biomass information includes, for example, map information, road information, administrative boundary information such as prefectures and municipalities, and address information such as various facilities. As such geographical information, for example, existing GIS data may be used. In addition, when the coordinate system of geographic information and the coordinate system of biomass information differ, coordinate conversion etc. are performed suitably and the coordinate system of geographic information and biomass information is made to correspond. Thereby, the created biomass information can be associated with existing geographic information (existing GIS data). By the initial data input step for inputting the biomass information and the geographical information, the biomass information database 14 in which the biomass information is inserted into the GIS data is constructed.

  In the condition information input step (S102 in FIG. 3), condition information including regional condition information is input to the computer 40 via the input device 43. Biomass information corresponding to the input condition information is called from the biomass information database 14.

  As an input method of regional condition information in the condition information input step, for example, in the present embodiment, the following three types of methods are prepared. That is, (1) a method for designating regional conditions in units of buffers based on line data constituting road information (hereinafter referred to as a first regional condition designating method), and (2) designating regional conditions in units of administrative boundaries. (3) a method for specifying regional conditions in mesh units obtained by dividing a map into a grid (hereinafter referred to as a third regional condition specifying method). There are three types. More specifically, for example, as shown in the flowchart of FIG. 10, a system user such as an analyst can input the region condition information interactively with the computer 40.

  First, for example, a menu screen is displayed on a display as the output device 44 so that the system user can select any one of the three methods (S102-1). Next, a map is displayed on the display as the output device 44 (S102-2). When the first regional condition designation method is selected, a map with roads is displayed as shown in FIG. 11, and when the second regional condition designation method is selected, as shown in FIG. A map with boundaries of administrative boundaries is displayed, and when the third regional condition designation method is selected, a map with meshes is displayed as shown in FIG. Note that reference numeral 52 in FIG. 11 indicates line data representing roads on the map, reference numeral 54 in FIG. 12 indicates boundaries of administrative boundaries on the map, and reference numeral 55 in FIG. 13 indicates meshes on the map.

  The system user designates the target area of the area condition information using the input device 43 such as a mouse on the displayed map (S102-3). When the first regional condition designation method is selected, the system user designates the road displayed on the map. The road can be specified in units of line data, for example. For example, a buffer having a certain width is generated from the designated road, and an area included in the buffer becomes a target area of the area condition information. The buffer width may be specified by the system user. Reference numeral 56 in FIG. 14 indicates an area included in the buffer generated from the designated road. When the second regional condition designating method is selected, the system user designates the regions separated by the boundaries of the administrative boundaries. The number of areas that can be specified is not limited to one, and a plurality of areas can be selected. The specified area becomes the target area of the regional condition information. Note that a rectangular selection area may be displayed on the map by a mouse drag operation, and all areas included in the selection area may be recognized as target areas of the area condition information. The code | symbol 57 of FIG. 15 shows the selected area. When the third regional condition designation method is selected, the mesh displayed on the map is designated. The number of meshes that can be specified is not limited to one, and a plurality of meshes can be selected. The area included in the specified mesh is the target area of the area condition information. The code | symbol 58 of FIG. 16 shows the area | region contained in the selected mesh.

  The area designated by the system user as described above is displayed on a display as the output device 44 as shown in FIGS. 14 to 16, for example, so that the system user can confirm (S102-4, S102). -5). Note that the system user may devise such as changing the color of the designated target area so that the target area of the regional condition information designated by the system user can be clearly understood. Further, the input is not limited to using a pointing device such as a mouse. For example, when the second regional condition designation method is selected, the name of a prefecture or the name of a city may be input using a keyboard or the like.

  When the target area of the specified area condition information is confirmed (S102-5; Yes), the input area condition information is temporarily recorded in the storage device.

  In this embodiment, the condition information input in the condition information input step can include time condition information. The time condition information is, for example, the month (January to December) or the season (spring, summer, autumn and winter). When inputting the time condition information (S102-6; Yes), the time condition information input via the input device 43 is temporarily recorded in the storage device.

  In the biomass distribution information output step (S103 in FIG. 3) of the present embodiment, biomass information that is determined to be in agreement with the input regional condition information and that is in agreement with the input time condition information is converted into biomass information. Call from database 14. The processing of the biomass distribution information output step is automatically performed by the computer 40.

  Biomass information corresponding to the biomass generation location information in the target region of the input regional condition information is determined to be a condition match, and otherwise it is determined to be a condition mismatch. When the biomass generation location information is polygon data, for example, if a part of the polygon (surface) is included in the target area, the condition is met. However, the condition may be matched when the polygon (surface) is completely included in the target area.

  In addition, when the biomass generation time information is included in the biomass information, it is determined that the condition is met if the input time condition information corresponds to the biomass generation time information, and otherwise, it is determined that the condition is not met. Further, when the biomass generation information is not included in the biomass information and the biomass species information is included, a biomass species-biomass generation timing conversion table is prepared. This table has a data structure in which the biomass generation time is described for each biomass species. In this case, based on the input timing condition information, the biomass species-biomass generation timing conversion table is referred to, and the biomass species corresponding to the input timing condition information is specified. Biomass information in which the identified biomass species and biomass species information match is determined to match the condition, and otherwise, it is determined that the condition does not match. As shown in FIG. 9, when the biomass amount information is set for each period, the biomass amount information corresponding to the input period condition information is called from the biomass information database 14.

  Then, in the biomass distribution information output step, a biomass distribution diagram in which the biomass amount information is superimposed on the map and displayed using the biomass information called from the biomass information database 14 by judging that the condition matches the input condition information, A display is output on a display as the output device 44. The biomass distribution map may be printed out on a printer as the output device 44. In this biomass distribution map, for example, biomass generation locations on a map are painted in different colors (including shades) according to the amount of biomass.

  According to the biomass distribution map output in this way, the system user can visually grasp the state of the regional distribution of the biomass amount. In addition, since the biomass generation location information is in units of points (points) or polygons (surfaces), it is more detailed than wide-area data such as prefecture units, for example, more detailed, such as city units or town chome units, Biomass distribution information can be obtained. In addition, it is possible to obtain biomass distribution information not only in the designation of regional conditions in units of meshes but also in administrative boundaries and areas along roads. In addition, by adding the time condition, it is possible to visually grasp the time variation (seasonal variation) of the biomass distribution. This biomass distribution map is effective, for example, for examining the possibility of location of biomass utilization facilities at an early stage.

  In the above example, the regional condition information and the time condition information are input as the condition information. However, instead of or in addition to the time condition information, the amount of biomass and the biomass species may be included in the condition information. In this case, it is possible to visually grasp the tendency of the location of occurrence for each type of biomass, and it is possible to visually grasp the regional distribution of biomass generation sources according to the amount of biomass. Moreover, what is output in the biomass distribution information output step is not limited to the biomass distribution map described above. For example, you may make it output what represented biomass distribution information in the table | surface format (for example, the table | surface in which the address and biomass amount of the biomass generation source were described).

  Next, the creation process (S2) of the optimum location information of the biomass utilization facility will be described.

  The biomass distribution information set in the initial data setting step (S201 in FIG. 4) uses, for example, information obtained by the biomass distribution information creation process (S1) described above. The road information set in the step (S201) uses information included in the geographic information input in the biomass distribution information creation process (S1) described above. Further, the required biomass amount set in the step (S201) is, for example, the amount (kg / day) obtained from the surrounding biomass generation source in one day, and the system user inputs to the computer 40 via the input device 43. . The set initial parameters are recorded in the storage device 42. The subsequent processing road information creation step (S202), mesh generation step (S203), transport distance calculation step (S204), and optimum location point output step (S205) are automatically performed by the computer 40.

  As a method for creating the processed road information in the processed road information creating step (S202), for example, the following two methods are conceivable. The first method is to create a new road that connects the biomass generation location and the closest road (hereinafter referred to as the first road information processing method). The second method is to mechanically move the biomass generation location on the road closest to the biomass generation location (hereinafter referred to as the second road information processing method).

  The first road information processing method will be described. First, the biomass generation point of each biomass generation place is specified. If the biomass generation location is point data, that point is set as the biomass generation point. If the biomass generation location is polygon data, the center of gravity of the polygon is set as the biomass generation point. Then, a new node in the road information is generated at the position of the biomass generation point. Then, the node in the existing road information closest to the new node is searched, and new line data that connects the searched node and the new node is generated.

  Next, the second road information processing method will be described. First, the biomass generation point of each biomass generation place is specified similarly to the said 1st road information processing method. Then, the line data in the existing road information closest to the biomass generation point is searched, and a new node in the road information is added to the position on the searched line data where the distance from the biomass generation point is the shortest. Generate.

  Biomass information and road information are originally independent information, and it is not possible to recognize the biomass generation location included in the biomass information as a node of road information by simply overlaying (that is, superimposing) these information. By the above processed road information creation step, the biomass generation location can be recognized as a road information node, and the road information and the biomass information are combined. Using the processed road information created in this way, the transport distance necessary for the trial calculation of the collection cost is obtained. Hereinafter, a node indicating the biomass generation point generated as described above is referred to as a biomass generation node.

  In the mesh generation step (S203), a mesh is generated by dividing the biomass distribution map into a lattice shape. As the number of meshes (number of grids) increases, the amount of calculation increases, but the accuracy of the optimum location point information of the biomass utilization facility that is output increases. Note that the number of meshes (number of grids) to be generated may be specified by the system user.

  In the transport distance calculation step (S204), the transport distance is calculated for each mesh, for example, according to the flowchart shown in FIG. First, one mesh that is a hypothetical location point of a biomass utilization facility is selected from unselected meshes (S204-1). For example, in the present embodiment, it is assumed that the center position of the selected mesh is the location point of the biomass utilization facility. Then, similarly to the first road information processing method or the second road information processing method, a road information node is generated at or near the assumed location point. The generated node is called a hypothetical facility node.

  Next, assuming that the biomass resources are collected in order from the nearest biomass generation node to the hypothetical facility node, calculate the transport distance when the above collection is repeated until the amount of biomass obtained from each biomass generation node reaches the required biomass amount . Specifically, first, the values of “obtained biomass” and “total transport distance” are cleared, that is, set to 0 (S204-3). Next, a biomass generation node having the shortest straight line distance from the assumed facility node is searched and selected as a collection target (S204-4). However, biomass generation nodes that have already been selected are excluded. The route having the shortest distance is searched from the routes (routes) connecting the selected biomass generation node and the assumed facility node, and the total extension distance of the line data constituting the route is calculated (S204-5). Note that the algorithm for searching for the shortest route is not limited to a specific one, and for example, an existing one used in a car navigation system may be used. Thereby, the one-way distance between the biomass generation node and the assumed facility node is calculated. For example, in this embodiment, the round trip distance is obtained by doubling the one-way distance, and the round trip distance is set as the transport distance between the biomass generation node and the assumed facility node. Then, the calculated transport distance is added to the “total transport distance” (S204-6). Further, the biomass amount obtained from the selected biomass generation node is added to the “obtained biomass amount” (S204-7). For example, the available amount included in the biomass information is used as the biomass amount obtained from the biomass generation node. Then, it is determined whether the “obtained biomass amount” has reached the required biomass amount of the biomass utilization facility (S204-8). Note that the units of the obtained biomass amount and the required biomass amount may be represented by energy instead of by weight.

  Until the “obtained biomass amount” reaches the required biomass amount, the selection of the biomass generation node near the hypothetical facility node, the calculation of the transport distance between the biomass generation node and the hypothetical facility node, and the “total transport distance” of the calculated transport distance And the addition of the amount of biomass obtained from the selected biomass generation node to the “obtained biomass amount” is repeated (S204-8; No, S204-4 to S204-7).

  When the “obtained biomass amount” reaches the required biomass amount (S204-8; Yes), the information of the selected mesh (for example, coordinate information of the vertical and horizontal matrix) and the calculated “total transport distance” are associated with each other. It is recorded (S204-9). The above processing is performed for each mesh (S204-10; No, S204-1 to S204-9).

  In the optimum location point output step (S205 in FIG. 4), using the total transportation distance calculated for each mesh as described above, the collection cost is calculated for each mesh, and the mesh that minimizes the collection cost is identified. The center position of the mesh is output as the optimal location point of the biomass utilization facility. For example, in the present embodiment, the transport distance itself is set as the collection cost from the viewpoint that the length of the transport distance has the most influence on the collection cost (amount) of the biomass resource. For this reason, in this embodiment, the center position of the mesh that minimizes the transport distance is output as the optimum location point of the biomass utilization facility.

  Depending on the type of biomass resource, there is a case where consideration is paid to the biomass resource provider and a case where payment is received from the biomass resource provider (reverse charge), so the purchase cost of the biomass resource is added to the above collection cost. You may do it. In this case, the purchase price or the reverse paid price per unit biomass amount is included in the biomass information input to the computer 40. By adding the purchase cost of biomass resources to the collection cost, it is possible to cope with the possibility that the collection cost will be reduced due to the reverse charge even if the transport distance is increased.

  Here, for example, in the present embodiment, meshes corresponding to areas where construction of biomass utilization facilities is impossible are excluded from the targets of the transport distance calculation step or the optimum location point output step. In areas where construction of biomass utilization facilities is not possible, for example, land use in other projects (business other than biomass utilization) has already been decided, or the viewpoint of natural environment, disaster prevention, existence of cultural assets, population, etc. Therefore, the system user can appropriately set an unsuitable area as a facility construction candidate site. From the viewpoint of reducing the amount of calculation, it is preferable to exclude the mesh corresponding to the location-incapable area in the transport distance calculation step (S204). For this reason, in this embodiment, the transport distance is calculated only for meshes that do not correspond to the location-incapable areas (S204-2 in FIG. 17). As a result, the mesh that is the target of the optimum location point output step (S205) is a mesh for which the transport distance is calculated, that is, a mesh that does not correspond to the location impossible area.

  In the optimum location point output step (S205) of the present embodiment, the optimum layout map of the biomass utilization facility in which the optimum location point determined as described above is displayed on the map is displayed and output on the display as the output device 44. I am doing so. It should be noted that the optimum layout of the biomass utilization facility may be printed out on a printer as the output device 44. According to the optimum layout diagram of the biomass utilization facility, the system user can visually grasp the optimum arrangement position of the biomass utilization facility. In addition, you may display the biomass distribution map demonstrated previously superimposed on the optimal arrangement | positioning map of biomass utilization facilities. Further, in the present invention, since the line data according to the actual road shape is used for the calculation of the transportation distance, it is compared with the transportation distance calculated using one side of the mesh section as a basic unit of distance as in the prior art. As a result, the accuracy is significantly improved and a more accurate transportation distance can be obtained. Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the collection cost is the lowest based on a more accurate transportation distance. The arrangement position of the biomass utilization facility can be obtained.

  Next, the creation process (S3) of the optimum collection route information of biomass resources will be described.

  The location information and the processed road information of the biomass utilization facility set in the geographical condition setting step (S302 in FIG. 5) are, for example, those obtained by the creation process (S2) of the optimal location point information of the biomass utilization facility described above. Use. Further, the transport amount condition set in the transport condition setting step (S303) is, for example, the loading limit amount of one transport vehicle, and is input to the computer 40 by the system user via the input device 43. The set / input information is recorded in the storage device 42.

  The number of relay points and the position of the relay points set in the relay point setting step (S304) are appropriate as, for example, positions previously listed as candidate points for relay points, or as candidate points for relay points based on the judgment of the system user. A possible position is manually input into the computer 40 by the system user via the input device 43 on a map displayed on a display as the output device 44. However, the computer 40 may automatically determine the number and position of relay points randomly or according to a certain algorithm. Further, the required collection amount for each relay point set in the relay point setting step (S304) is, for example, a value obtained by dividing the required biomass amount of the above-described biomass utilization facility by the number of relay points. The system user may manually input the required collection amount for each relay point.

  Hereinafter, an example of processing when the computer 40 automatically determines the position of the relay point will be described with reference to the flowchart of FIG. First, the system user inputs the number of relay points to the computer 40 (S501). The subsequent processing (S502 to S507) is automatically performed by the computer 40. The target map is divided into regions of the number of relay points inputted as a target map obtained by superimposing the biomass distribution map described above on the optimum layout of the biomass utilization facility (S502). The divided area is referred to as a divided area. Next, one divided region is selected from the unselected divided regions (S503). Then, a mesh obtained by dividing the selected divided region into a lattice shape is generated on the divided region (S504). Next, a search process is performed to determine which mesh among the generated meshes is optimal for setting the relay point (S505). Specifically, the same processing as the transport distance calculation step (S204) shown in FIG. 17 is performed.

  That is, one mesh that is the assumed location point of the relay point is selected from the unselected meshes (see S204-1). For example, it is assumed that the center position of the selected mesh is the location point of the relay point. Then, similarly to the first road information processing method or the second road information processing method, a road information node is generated at or near the assumed location point. The generated node is called a hypothetical relay node. Next, assuming that biomass resources are collected in order from the nearest biomass generation node to a hypothetical relay node, calculate the transport distance when the above collection is repeated until the amount of biomass obtained from each biomass generation node reaches the required collection amount. To do. Specifically, first, the values of “obtained biomass” and “total transport distance” are cleared (see S204-3). Next, a biomass generation node having the shortest straight line distance from the assumed relay node is searched and selected as a collection target (see S204-4). However, biomass generation nodes that have already been selected are excluded. The route having the shortest distance is searched from the routes (routes) connecting the selected biomass generation node and the assumed relay site node, and the total extension distance of the line data constituting the route is calculated (see S204-5). Note that the algorithm for searching for the shortest route is not limited to a specific one, and for example, an existing one used in a car navigation system may be used. Thus, the one-way distance between the biomass generation node and the assumed relay node is calculated. For example, in this embodiment, the round trip distance is obtained by doubling the one-way distance, and the round trip distance is set as the transport distance between the biomass generation node and the assumed relay node. Then, the calculated transport distance is added to the “total transport distance” (see S204-6). Further, the biomass amount obtained from the selected biomass generation node is added to the “obtained biomass amount” (see S204-7). For example, the available amount included in the biomass information is used as the biomass amount obtained from the biomass generation node. Then, it is determined whether the “obtained biomass amount” has reached the necessary collection amount at the relay point (see S204-8). Until the “obtained biomass” reaches the required collection amount, selection of the biomass generation node near the hypothetical relay node, calculation of the transport distance between the biomass generation node and the hypothetical relay node, and “total transport of the calculated transport distance” The addition to the “distance” and the addition of the biomass amount obtained from the selected biomass generation node to the “obtained biomass amount” are repeated. When the “obtained biomass amount” reaches the required collection amount, the information on the selected mesh (for example, coordinate information of the vertical and horizontal matrix) and the calculated “total transport distance” are recorded in association with each other (S204-9). reference). The above processing is performed for each mesh.

  After that, using the total transport distance calculated for each mesh as described above, the collection cost is calculated for each mesh, the mesh with the smallest collection cost is identified, and the center position of the mesh is determined for the corresponding divided region. It is set as a relay point (S506 in FIG. 18). For example, in the present embodiment, the transport distance itself is set as the collection cost from the viewpoint that the length of the transport distance has the most influence on the collection cost (amount) of the biomass resource. For this reason, in this embodiment, the center position of the mesh that minimizes the transport distance is set as the relay point of the corresponding divided area. However, the purchase cost of biomass resources may be added to the collection cost. The above processing is performed for each divided area, and one relay point is set for each divided area (S507; Yes, S503 to S506). Note that a mesh corresponding to an area where a relay point cannot be set is excluded from the optimum relay point search process (see S204-2 in FIG. 17).

  In the collection route distance calculation step (S305 in FIG. 5), the total collection route distance is calculated according to the processing shown in the flowcharts of FIGS. 19 and 20, for example, based on the relay point set manually or automatically as described above. This collection path distance calculation step is automatically performed by the computer 40.

  First, each value of “obtained biomass amount”, “loaded biomass amount”, and “total collection route distance” is cleared, that is, set to 0 (S305-1 in FIG. 19). Next, one relay point is selected from unselected relay points (S305-2). Then, the local point is set as the selected relay point (S305-3). Next, the biomass generation node having the shortest straight line distance from the local node is searched, and the searched biomass generation node is selected as a collection target (S305-4). However, biomass generation nodes that have already been selected are excluded. Next, using the available amount included in the biomass information as the amount of biomass obtained from the selected biomass generation node, the sum of the biomass amount obtained from the selected biomass generation node and the currently loaded biomass amount is transported. It is determined whether or not the load limit amount set as the amount condition is exceeded (S305-5). If it exceeds (S305-5; Yes), it is not possible to transport all of the available amount of the biomass generation node, so an amount obtained by subtracting the amount of loaded biomass from the loading limit amount is obtained from the selected biomass generation node. It is set as the amount of biomass produced (S305-6). When not exceeding (S305-5; No), since all the available amounts of the said biomass generation node can be transported, the available amount becomes the amount of biomass obtained from the selected biomass generation node.

  Next, the biomass amount obtained from the selected biomass generation node is added to the “obtained biomass amount” and the “loaded biomass amount”, respectively (S305-7). Further, a route having the shortest distance is searched from routes (routes) connecting the selected biomass generation node and the local point node, and the total extended distance of the line data constituting the route is calculated. Note that the algorithm for searching for the shortest route is not limited to a specific one, and for example, an existing one used in a car navigation system may be used. Then, the calculated distance is added to the “total collection path distance” (S305-9). Then, the local point is set to the selected biomass generation point (S305-10). Then, it is determined whether the “obtained biomass amount” has reached the necessary collection amount at the relay point (S305-11). In addition, the unit of the obtained biomass amount and the necessary collection amount may be represented by energy instead of by weight.

  If the “obtained biomass amount” has not reached the necessary collection amount at the relay point (S305-11; No), it is determined whether the “loaded biomass amount” has reached the loading limit amount (S305-12). If the “loading biomass amount” has not reached the loading limit amount (S305-12; No), the biomass generation node that has the shortest linear distance from the local node to obtain biomass resources from the next biomass generation source Is selected as a collection target (except for a biomass generation node that has already been selected), and the above-described processing is repeated (S305-4 to S305-11). If the “loading biomass amount” has reached the loading limit amount (S305-12; Yes), the shortest distance from the route (route) connecting the node at the local point and the node at the selected relay point to return to the relay point Is searched, and the total extension distance of the line data constituting the route is calculated (S305-13). Then, the calculated distance is added to the “total collection path distance” (S305-14). Then, the value of “loading biomass amount” is cleared, that is, 0 (S305-15). Then, the local point is set as the selected relay point (S305-3), and the biomass generation node having the shortest straight line distance from the node of the local point is searched and selected as the collection target (however, it has already been selected. The process described above is repeated (except for a certain biomass generation node) (S305-4 to S305-11). Depending on the number of times a transport vehicle as a means of transportation has returned to the selected relay point, the number of required round trips when using one transport vehicle and the number of transport vehicles required when using multiple transport vehicles are I understand.

  If the “obtained biomass” has reached the necessary collection amount at the relay point (S305-11; Yes), in the route (route) connecting the node at the local point and the node at the selected relay point in order to return to the relay point The route having the shortest distance is searched from (S305-16), and the total extension distance of the line data constituting the route is calculated. Then, the calculated distance is added to the “total collection path distance” (S305-17). Then, the process which calculates the transport distance between a relay point and biomass utilization facilities is performed (S305-18).

  The contents of the relay point-facility transport distance calculation process (S305-18) will be described with reference to the flowchart of FIG. First, a route having the shortest distance is searched from routes (routes) connecting the node of the selected relay point and the node of the biomass utilization facility, and the total extension distance of the line data constituting the route is calculated (S601). Thus, the one-way distance between the selected relay point node and the biomass utilization facility node is calculated. Further, for example, in this embodiment, the round trip distance is obtained by doubling the one-way distance. In addition, the necessary collection amount at the selected relay point is divided by the load limit amount (when it is not divisible or the decimal point is rounded up to an integer) to obtain the necessary number of round trips when there is one transport vehicle. The required number of round trips indicates the number of necessary transport vehicles when a plurality of transport vehicles are used. Then, a value obtained by multiplying the required number of round trips and the round trip distance is set as a required transport distance between the selected relay point node and the biomass utilization facility node (S602). The necessary transport distance is added to the “total collection route distance” (S603).

  The above processing is executed for each set relay point (S305-19 in FIG. 19; Yes, S305-2 to S305-18). Thereby, the “total collected route distance” corresponding to the set group of relay points is calculated. Further, the position and number of relay points are changed, and the collection route distance calculation step is executed again (S306; Yes, S305). Thereby, the “total collected route distance” corresponding to the relay point whose setting has been changed is calculated. A specific counter number is given to the set content (position and number of relay points) of a group of relay points each time (S301, S308), and “total collection” corresponding to each setting content of the relay points and the case of the setting. The “path distance” is recorded in association with each other (S307).

  When the setting of the position and number of relay points is not changed any more (S306; No), the process proceeds to the optimum collection information output step (S309). The optimum collection information output step is automatically performed by the computer 40. In the optimum collection information output step, the collection cost is calculated for each relay point setting content using the total collection route distance calculated according to the relay point setting content as described above, and the relay that minimizes the collection cost is performed. A set of points is specified, and the set of relay points is output as the optimum relay point. For example, in this embodiment, the total collection path distance itself is set as the collection cost from the viewpoint that the length of the transport distance has the most influence on the collection cost (amount) of biomass resources. For this reason, in this embodiment, a set of relay points with the minimum total collection path distance is output as the optimum relay point.

  Depending on the type of biomass resource, there is a case where consideration is paid to the biomass resource provider and a case where payment is received from the biomass resource provider (reverse charge), so the purchase cost of the biomass resource is added to the above collection cost. You may do it. In this case, the purchase price or reverse paid price per unit biomass amount is included in the biomass information. By adding the purchase cost of biomass resources to the collection cost, it is possible to cope with the possibility that the collection cost will be reduced due to the reverse charge even if the transport distance is increased.

  In the optimum collection information output step (S309) of the present embodiment, an optimum collection diagram of biomass resources in which the optimum relay point determined as described above and the biomass resource collection route based on the optimum relay point are displayed on a map is displayed. The output is output on a display as the output device 44. Note that an optimum collection diagram of biomass resources may be printed out on a printer as the output device 44. Also, trace the road on the screen map to collect biomass resources from each relay point to each biomass generation point, and to transport the biomass resources collected from each relay point to the biomass utilization facility. By changing the color of the traveled route and displaying it sequentially, it is possible to make the collection route clear and easy to see by displaying how the transport vehicle travel route extends at regular intervals.

  According to the optimum biomass resource collection chart, the system user can visually grasp the optimum position and route of the relay point used for collecting biomass resources. Note that the biomass distribution map and the optimal layout map of the biomass utilization facility described above may be displayed superimposed on the optimal biomass resource collection map. Further, in the present invention, line data conforming to the actual road shape is used for calculation of the total collected route distance, so that the route distance calculated using one side of the mesh section as a basic unit of distance as in the prior art In comparison, the accuracy is significantly improved, and a more accurate route distance can be obtained. Biomass resources exist “widely and thinly”, so reducing collection costs is a major challenge. However, according to the present invention, the cost of collection is the lowest based on a more accurate path distance. A relay point and a collection route can be obtained.

  Next, the economic evaluation process (S4) of the biomass utilization facility will be described.

  The biomass usage unit price obtained in the economic evaluation process (S4) indicates, for example, the biomass usage cost per unit biomass amount (unit mass or unit volume or unit energy). Biomass utilization costs include, for example, transportation costs necessary for transporting biomass resources to biomass utilization facilities, purchase costs for obtaining biomass resources (including reverse charges), and processing necessary for processing biomass resources. Consists of costs. For example, “biomass use cost = transport cost + purchase cost + processing cost” “transport cost = distance × A + B (where A is a cost (fuel cost, etc.) proportional to the distance, and B is generated regardless of the distance. The cost can be expressed as “biomass use unit price = biomass use cost / biomass amount”. The distance required to calculate the transportation cost and the amount of biomass collected in the biomass utilization facility can be obtained by the above-described processing, so other parameters required for calculating the cost (of the purchase cost, processing cost, and transportation cost) By giving a part A proportional to the distance A and a part B) generated irrespective of the distance in the transportation cost, the biomass usage unit price can be obtained.

  Moreover, the biomass power generation unit price calculated | required by the said economical evaluation process (S4) shows the biomass power generation cost per unit power generation amount and unit operation time, for example. Biomass power generation costs consist of biomass use costs and costs related to biomass use facilities (facility construction costs, costs necessary for facility maintenance, etc.). The amount of power generation can be obtained from the amount of biomass obtained and the power generation efficiency, for example. Since the biomass use cost and the amount of biomass collected in the biomass use facility can be obtained by the above-described processing, by giving other parameters necessary for cost calculation (power generation efficiency and costs related to the biomass use facility) The unit price of biomass power generation can be obtained.

  For example, in the economic evaluation process of the present embodiment, a figure or table that compares the income obtained from power generation predicted in the future in a biomass power generation facility with the expenditure required to realize the power generation (referred to as an economic evaluation chart). Is output. The income and expenditure of the future biomass power generation facility are determined based on the calculated biomass use unit price and biomass power generation unit price. The output economic evaluation chart can be used to determine whether or not the biomass power generation business plan (location of biomass power generation facilities and biomass resource collection route) is economically appropriate.

  As described above, according to the present invention, it is considered economically preferable to install a biomass utilization facility and a biomass resource collection relay point at which point (in which season) in which region. be able to. In addition, various conditions (time conditions, relay point locations, number of relay points, transportation conditions, etc.) are changed, and various materials (biomass distribution map, optimal layout of biomass utilization facilities, optimal collection of biomass resources) corresponding to each condition (Economic Evaluation Chart)), these materials can be used for the regional biomass power generation feasibility study (FS survey). Thereby, the decision-making regarding a biomass utilization plan can be supported.

  The above-described embodiment is an example of a preferred embodiment of the present invention, but is not limited thereto, and various modifications can be made without departing from the gist of the present invention. For example, in the above-described embodiment, biomass distribution information creation processing (S1), biomass utilization facility optimum location information creation processing (S2), biomass resource optimum collection route information creation processing (S3), biomass Although the economic evaluation process (S4) of the user facility is continuously performed in cooperation with each other, these processes can be performed independently. For example, when the biomass distribution information is obtained by another means, the result information of the biomass distribution information creation process (S1) does not necessarily have to be used in the creation process (S2) of the optimum location information of the biomass utilization facility. In the case where the location point of the biomass utilization facility is already determined, the result information of the creation processing (S2) of the optimum location point information of the biomass utilization facility in the creation processing (S3) of the optimum collection route information of the biomass resource It is not necessary to use.

It is a block diagram which shows one Embodiment of the biomass utilization plan support method and system of this invention, and an example of a system configuration | structure. It is a flowchart which shows an example of the process of the biomass utilization plan assistance method and system of this invention, and a program. It is a flowchart which shows the biomass distribution information creation process of FIG. 2 in detail. It is a flowchart which shows the creation process of the optimal location information of the biomass utilization plant | facility of FIG. 2 in detail. It is a flowchart which shows the creation process of the optimal collection path | route information of the biomass resource of FIG. It is a block diagram which shows the structure of the computer by which the biomass utilization plan assistance program of this invention is mounted. It is a conceptual diagram which shows point data, line data, and polygon data. It is a figure which shows an example of the data structure of biomass information. It is a figure which shows the other example of the data structure of biomass information. It is a flowchart which shows the condition information input step of FIG. 3 in detail. It is a figure which shows the example of a screen display in the case of designating area condition information in the buffer unit on the basis of the line data which comprises road information. It is a figure which shows the example of a screen display in the case of designating regional condition information per administrative boundary. It is a figure which shows the example of a screen display in the case of designating area condition information in the mesh unit which divided | segmented the map into the grid | lattice form. It is a figure which shows the example of a screen display at the time of designating area condition information in the buffer unit on the basis of the line data which comprises road information. It is a figure which shows the example of a screen display at the time of designating regional condition information per administrative boundary. It is a figure which shows the example of a screen display at the time of designating area condition information in the mesh unit which divided | segmented the map into the grid | lattice form. It is a flowchart which shows the transport distance calculation step of FIG. 4 in detail. It is a flowchart which shows an example of a process in case a computer determines the position of a relay point automatically. 6 is a flowchart showing the collection path distance calculation step of FIG. 5 in more detail. FIG. 20 is a flowchart showing the relay point-facility transportation distance calculation processing of FIG. 19 in more detail. It is a conceptual diagram which shows the calculation method of the distance of the collection route used for formulation of the collection plan of the conventional biomass resource.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Biomass utilization plan support system 2 Biomass distribution information creation means 3 Biomass utilization facility optimum location information creation means 4 Biomass resource optimum collection route information creation means 5 Biomass utilization facility economic evaluation means 11 Initial data input acceptance means 12 Conditions Information input reception means 13 Biomass distribution information output means 14 Biomass information database 21 Initial data setting means 22 Processing road information creation means 23 Mesh generation means 24 Transport distance calculation means 25 Optimal location point output means 31 Geographic condition setting means 32 Transport condition setting means 33 Relay point setting means 34 Collection route distance calculation means 35 Optimal collection information output means 40 Computer

Claims (22)

  An initial data input step for inputting biomass information and geographic information including at least biomass generation location information and biomass amount information, a condition information input step for inputting condition information including at least regional condition information, and the input A biomass utilization plan support method comprising at least a biomass distribution information output step of outputting biomass amount information corresponding to condition information in association with the geographical information.   The biomass use according to claim 1, wherein the biomass generation location information is point data indicating a geographical point or polygon data indicating a polygon surrounded by three or more geographical points. Planning support method.   The biomass utilization plan support method according to claim 1 or 2, wherein the biomass distribution information output step outputs a biomass distribution diagram in which biomass amount information corresponding to the input condition information is displayed on a map.   4. The regional condition information can be specified in a buffer unit based on line data constituting road information, an administrative boundary unit, or a mesh unit obtained by dividing a map into a grid. The biomass utilization plan support method as described in any one.   The biomass use according to any one of claims 1 to 4, wherein the biomass information includes one or both of biomass species information and biomass generation time information, and the condition information includes time condition information. Planning support method.   5. The biomass utilization plan support method according to any one of claims 1 to 4, wherein the biomass amount information is set for each period, and the condition information includes period condition information.   A method of searching for an optimal location point of a biomass utilization facility, wherein biomass distribution information in which biomass amount information and geographic information are associated, nodes having coordinate information, and road information represented by line data connecting nodes An initial data setting step for setting an initial parameter including at least the required amount of biomass of the biomass utilization facility, and creation of processed road information in which the biomass generation location of the biomass distribution information is generated as a new node in the road information A processing road information creation step, a mesh generation step of generating a mesh obtained by dividing the map of the biomass distribution information into a grid, and assuming that there is the biomass utilization facility at a fixed position of the mesh, The buy-in from the nearest biomass generation site. A transport distance calculating step for calculating the transport distance required to collect the mass using facilities using the processed road information, and a constant of the mesh that minimizes the collection cost calculated using the calculated transport distance. A biomass utilization plan support method comprising: an optimum location point output step of outputting a position as an optimum location point of the biomass utilization facility.   8. The biomass utilization plan support method according to claim 7, wherein the mesh corresponding to an area where construction of the biomass utilization facility is impossible is excluded from the object of the transport distance calculation step or the optimum location point output step.   The biomass use according to claim 7 or 8, wherein the biomass distribution information is obtained in a biomass distribution information output step of the biomass use plan support method according to any one of claims 1 to 6. Planning support method.   The said optimal location point output step outputs the optimal arrangement | positioning map of the biomass utilization facility which displayed the optimal location point of the said biomass utilization facility on the map, The any one of Claim 7 to 9 characterized by the above-mentioned. Biomass utilization plan support method.   A method of searching for an optimal collection route of biomass resources, comprising biomass distribution information in which biomass amount information and geographic information are associated, and nodes having coordinate information and road information represented by line data connecting nodes. A geographical condition setting step for setting the processing road information generated as a new node in the road information and the location information of the biomass utilization facility, using the biomass generation location of the biomass distribution information, and the transport amount of the transportation means A transportation condition setting step for setting transportation conditions including at least conditions, a relay point setting step for setting one or more relay points and a necessary amount of biomass resources to be collected at each relay point, and the transportation for each relay point The amount of biomass that satisfies the required collection amount under the conditions is ordered from the nearest biomass generation site. The collection route distance required for collection is calculated using the processed road information, and between the relay point and the facility required for transporting the collected biomass resource from each relay point to the biomass using facility under the transport conditions. Collection route distance calculation that calculates a transport distance using the processed road information and obtains a total collection route distance of biomass resources from the sum of the collection route distance and the relay point-facility transport distance for all the relay points A relay point set in the relay point setting step, and for each change, the collection route distance calculation step is repeated, and the collection cost calculated using the total collection route distance is Biomass utilization characterized by having an optimal collection information output step of outputting the set of relay points that are minimized as an optimal relay point Field support method.   12. The optimum collection information output step of outputting an optimum collection map of biomass resources in which the optimum relay point and a biomass resource collection route based on the optimum relay point are displayed on a map. Biomass utilization plan support method.   The location information of the biomass utilization facility is obtained at the optimum location point output step of the biomass utilization plan support method according to any one of claims 7 to 10. Biomass utilization plan support method.   The biomass use facility is a biomass power generation facility, and has an economic evaluation process for calculating and outputting one or both of a biomass use unit price and a power generation unit price based on the calculated collection cost. The biomass utilization plan support method according to any one of 7 to 13.   Initial data input receiving means for receiving input of biomass information and geographic information including at least biomass generation location information and biomass amount information, and condition information input receiving means for receiving input of condition information including at least regional condition information; A biomass utilization plan support system comprising at least biomass distribution information output means for outputting biomass quantity information corresponding to the input condition information in association with the geographic information.   A system for searching an optimal location point of a biomass utilization facility, biomass distribution information in which biomass amount information and geographic information are associated, road information represented by nodes having coordinate information and line data connecting the nodes, and Creating initial road data setting means for setting initial parameters including at least a required amount of biomass of the biomass utilization facility, and processing road information in which the biomass generation location of the biomass distribution information is generated as a new node in the road information It is assumed that the processing road information creating means, a mesh generating means for generating a mesh obtained by dividing the map of the biomass distribution information into a grid, and the biomass utilization facility is located at a fixed position of the mesh, The biomass profits in order from the nearest biomass generation location. A transport distance calculating means for calculating a transport distance required for collection to a facility using the processed road information; and a fixed position of the mesh at which the collection cost calculated using the calculated transport distance is minimized. A biomass utilization plan support system comprising an optimum location point output means for outputting the optimum location point of the biomass utilization facility.   A system for searching an optimum collection route of biomass resources, which includes biomass distribution information in which biomass amount information and geographic information are associated, and nodes having coordinate information and road information represented by line data connecting the nodes. Using the geographical condition setting means for setting the biomass generation location of the biomass distribution information as a new node in the road information and the location information of the biomass utilization facility, and the transport amount of the transport means Transportation condition setting means for setting transportation conditions including at least conditions, relay point setting means for setting one or more relay points and a necessary collection amount of biomass resources to be collected at each relay point, and the transportation for each relay point Collect the biomass amount that satisfies the required collection amount under the conditions in order from the nearest biomass generation site The collection route distance required for processing is calculated using the processed road information, and the transportation distance between the relay points and the facilities required for transporting the collected biomass resources from the relay points to the biomass using facilities under the transport conditions. Collecting route distance calculation means for calculating a total collection route distance of biomass resources from the sum of the collection route distances for all the relay points and the relay point-facility transport distances; The relay point set by the relay point setting means is changed, and for each change, the calculation of the total collection route distance is repeated, and the collection cost calculated using the total collection route distance is minimized. A biomass utilization plan support system comprising an optimum collection information output means for outputting a set of relay points as an optimum relay point.   The biomass use facility is a biomass power generation facility, and has an economic evaluation means for calculating and outputting one or both of a biomass use unit price and a power generation unit price based on the calculated collection cost. The biomass utilization plan support system according to 16 or 17.   Initial data input receiving means for receiving input of biomass information and geographic information including at least biomass generation location information and biomass amount information, and condition information input receiving means for receiving input of condition information including at least regional condition information; A biomass utilization plan support program that causes a computer to function as biomass distribution information output means for outputting biomass quantity information corresponding to the input condition information in association with the geographic information.   It is a program that allows a computer to function as a system that searches for the optimum location of a biomass-using facility, and includes biomass distribution information in which biomass amount information and geographic information are associated, and nodes that have coordinate information and line data that connects nodes. Initial data setting means for setting the road information represented, and an initial parameter including at least the required biomass amount of the biomass utilization facility, and generating a biomass generation location of the biomass distribution information as a new node in the road information. It is assumed that the processed road information generating means for generating processed road information, the mesh generating means for generating a mesh obtained by dividing the map of the biomass distribution information into a grid, and the biomass utilization facility at a fixed position of the mesh The required amount of biomass is The transportation distance calculation means for calculating the transportation distance required to collect the biomass from the place where the biomass is generated to the biomass utilization facility using the processed road information, and the collection cost calculated using the calculated transportation distance is the minimum The biomass utilization plan support program which makes a computer function as the optimal location point output means which outputs the fixed position of the said mesh used as the optimal location point of the said biomass utilization facility.   A program that causes a computer to function as a system for searching for an optimal collection path for biomass resources, and is represented by biomass distribution information in which biomass amount information and geographic information are associated, and nodes having coordinate information and line data connecting nodes. And the geographical condition setting means for setting the processing road information generated as a new node in the road information, and the location information of the biomass utilization facility, using the generated road information. A transportation condition setting means for setting transportation conditions including at least a transportation amount condition of the transportation means, one or more relay points, a relay point setting means for setting a necessary collection amount of biomass resources to be collected at each relay point, and the relay For each point, the maximum amount of biomass that satisfies the required collection amount under the transport conditions is selected. The collection route distance required for collecting in order from the biomass generation place is calculated using the processed road information, and the collected biomass resources are transported from the relay points to the biomass utilization facility under the transport conditions. The total collection route of biomass resources is calculated from the sum of the collection route distance and the transit point-facility transport distance for all the relay points, and the relay point-facility transport distance required for Change the collection route distance calculation means for obtaining the distance and the relay point set by the relay point setting means, and repeat the calculation of the total collection route distance for each change, and calculate using the total collection route distance The computer functions as an optimal collection information output means for outputting the set of relay points with the lowest collection cost as the optimal relay point Biomass utilization plan support program for causing.   The biomass use facility is a biomass power generation facility, and based on the calculated collection cost, the computer functions as an economic evaluation unit that calculates and outputs one or both of a biomass use unit price and a power generation unit price. The biomass utilization plan support program according to claim 20 or 21.

Images