Livestock power generation system and livestock power generation method

Abstract

Provided are a livestock power generation system and a livestock power generation method capable of generating electricity at a livestock business establishment. 【Solution means】A livestock power generation system 10 in which a biomass power generation device 1, a solar power generation device 2, a wind power generation device 3, a small hydropower generation device 4, a power storage device 5, a power meter 6, a server device 7, and a manager terminal 8 are communicatively connected to each other via a communication network 9, wherein each of the power generation devices is installed at an arbitrary location within the livestock business establishment.

Description

[Technical field]

[0001] The present invention relates to a livestock power generation system and a livestock power generation method. [Background technology]

[0002] In recent years, livestock farms equipped with farms, piggeries, cowsheds, chicken coops, etc. have been automating various tasks such as cleaning and feeding in order to improve operational efficiency. As a result, the amount of electricity consumed by livestock farms is on the rise.

[0003] On the other hand, livestock farms often have large tracts of land for raising livestock such as cows, pigs, and chickens. Summary of the Invention [Problem to be solved by the invention]

[0004] An object of the present invention is to provide a livestock power generation system capable of generating electricity at a livestock business establishment. [Means for solving the problem]

[0005] The object of the present invention is to [1] A livestock power generation system comprising a power generation device installed within a livestock facility; [2] The livestock power generation system according to [1] above, wherein the power generation device is a biomass power generation device, a solar power generation device, a wind power generation device, and / or a small hydroelectric power generation device; [3] The livestock power generation system according to [2], further comprising a computer device for managing the electricity generated by the power generation device, the power generation device being a biomass power generation device, and the computer device being provided with an identification means for identifying biomass power generation information relating to the power generation by the biomass power generation device; [4] The livestock power generation system according to [3], wherein the power generation equipment is a biomass power generation equipment, a solar power generation equipment, a wind power generation equipment, and / or a small hydroelectric power generation equipment, and the identification means identifies the biomass power generation information based on information on power generation by power generation equipment other than the biomass power generation equipment; [5] The livestock power generation system according to the above [4], wherein the computer device includes a prediction means for predicting the amount of power generated by a power generation device other than the biomass power generation device, and the identification means identifies the biomass power generation information based on the predicted amount of power generation; [6] The livestock power generation system according to the above item [5], wherein the biomass power generation device is capable of generating power by utilizing excrement from livestock animals raised in the livestock business, the prediction means predicts the amount of power generation by a power generation device other than the biomass power generation device based on information related to weather, and the identification means identifies the amount of excrement from livestock animals to be input to the biomass power generation device as the biomass power generation information; [7] The livestock power generation system according to any one of [1] to [6], further comprising a power storage device that stores the power generated by the power generation device; [8] A livestock power generation method, comprising generating electricity using the livestock power generation system according to any one of [1] to [7] above; This can be achieved by: Effect of the Invention

[0006] According to the present invention, a livestock power generation system capable of generating power at a livestock business can be provided. [Brief description of the drawings]

[0007] [Figure 1] 1 is a block diagram showing a configuration of a livestock power generation system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram showing a hardware configuration of a server device according to an embodiment of the present invention. [Diagram 3] 2 is a block diagram showing a hardware configuration of an administrator terminal according to the embodiment of the present invention; FIG. [Figure 4] FIG. 11 is a diagram showing a flowchart of a biomass power generation information identification process according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] The following describes an embodiment of the present invention, but the present invention is not limited to the following embodiment, as long as it does not go against the spirit of the present invention. The order of each process constituting the flowchart described below is random as long as there is no contradiction or inconsistency in the process content, and it is also possible to omit a part of each process constituting the flowchart or add a new process to each process constituting the flowchart, as long as there is no contradiction or inconsistency in the process content. In addition, the device that executes each process constituting the flowchart can be changed to another device, as long as it does not go against the spirit of the present invention. In that case, the process content can be changed so that there is no contradiction or inconsistency in the process content.

[0009] The livestock power generation system includes a power generation device installed within a livestock business establishment. "Within a livestock business establishment" refers to an area belonging to the livestock business establishment. "Within a area belonging to the livestock business establishment" may include, for example, a site owned by the livestock business establishment. The power generation device may be a biomass power generation device, a solar power generation device, a wind power generation device, and / or a small hydroelectric power generation device. The livestock power generation system may also include a storage device that stores the electricity generated by the power generation device. Below, a livestock power generation system including a biomass power generation device, a solar power generation device, a wind power generation device, a small hydroelectric power generation device, and a storage device will be described as an example.

[0010] FIG. 1 is a block diagram showing the configuration of a livestock power generation system according to an embodiment of the present invention. The livestock power generation system 10 shown in FIG. 1 is composed of a biomass power generation device 1, a solar power generation device 2, a wind power generation device 3, a small hydroelectric power generation device 4, a power storage device 5, a watt-hour meter 6, a server device 7, and an administrator terminal 8. The biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, the watt-hour meter 6, the server device 7, and the administrator terminal 8 may be communicatively connected to each other via a communication network 9. In addition, the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, and the watt-hour meter 6 may be electrically connected. The biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, and the watt-hour meter 6 may be connected by wire or wirelessly.

[0011] The livestock power generation system 10 may include multiple biomass power generation devices 1, solar power generation devices 2, wind power generation devices 3, small hydroelectric power generation devices 4, power storage devices 5, electricity meters 6, server devices 7, and / or administrator terminals 8.

[0012] Each power generation device preferably includes a power generation unit, a control unit, a storage unit, and a communication interface. The power generation device may also include any other configuration. The configuration of the power generation unit included in the power generation device can be designed appropriately according to the type of power generation performed by the power generation device. The control unit may control power generation by the power generation unit. The storage unit may store the amount of power generated by the power generation unit in association with the time of power generation. Each power generation device may be communicatively connected to other devices via the communication interface. Each power generation device may transmit the amount of power generated and the time to the power meter 6, the server device 7, and / or the administrator terminal 8. The amount of power generated by the power generation device may be expressed, for example, in units of Wh (watt-hours). Note that multiple different structures may function as one power generation device.

[0013] The biomass power generation system 1 may be any system capable of generating electricity from biomass, which is a biological resource derived from plants and animals, as a raw material. The method of generating biomass electricity may be a biochemical gasification method, a pyrolysis gasification method, or a direct combustion method. The biomass used for generating electricity may be generated within a livestock farm. Furthermore, the biomass power generation system 1 may be capable of generating electricity using multiple types of biomass.

[0014] When biomass power generation is performed by the biochemical gasification method, the biomass power generation apparatus 1 may be capable of generating power by using the excrement of livestock animals raised in a livestock business as biomass. The biomass power generation apparatus 1 may also be capable of generating power by using biomass such as food waste, sewage sludge, food processing residues, and vegetable waste. The biomass power generation apparatus 1 can generate power using biogas produced by methane fermentation of biomass by microorganisms as fuel. The biomass power generation apparatus 1 may be equipped with a methane fermentation tank. Power generation may be performed by a gas turbine or a gas engine.

[0015] When biomass power generation is performed by the pyrolysis gasification method, the biomass power generation apparatus 1 may be capable of generating power using biomass such as wood materials, feed residues, etc. The biomass power generation apparatus 1 may gasify the biomass by thermal treatment, and generate power using a gas turbine or a gas engine.

[0016] When biomass power generation is performed by a direct combustion method, the biomass power generation apparatus 1 may be capable of generating power using biomass such as wood materials, feed residues, combustible waste, waste oil, etc. The biomass power generation apparatus 1 may generate steam using thermal energy generated by burning biomass, and generate power using the turbine.

[0017] The biomass power generation system 1 can be installed anywhere in the livestock business. If the biomass power generation system 1 generates power using the excrement of livestock animals, the burden of transporting the excrement can be reduced by installing the biomass power generation system 1 near the livestock barns where the livestock animals are raised.

[0018] The solar power generation device 2 is not particularly limited as long as it is capable of converting sunlight into electricity and generating solar power. The solar power generation device 2 may include a solar panel, a power conditioner, and the like.

[0019] The solar power generation device 2 can be installed anywhere in the livestock business. From the viewpoints of eliminating the need to secure a separate space for installing the solar panels and suppressing the rise in temperature inside the livestock barn, it is preferable to install the solar panels of the solar power generation device 2 on the roof and / or walls of the livestock barn.

[0020] The wind turbine generator 3 is not particularly limited as long as it is capable of converting wind power into electric power and generating wind power. The wind turbine generator 3 may include blades, a generator, a gearbox, and the like.

[0021] The wind power generation device 3 can be installed in any location within the livestock business establishment. It is preferable that the wind power generation device 3 is installed in a well-ventilated location within the livestock business establishment.

[0022] The small hydroelectric power generation device 4 is not particularly limited as long as it is capable of converting hydraulic power into electricity and generating small hydroelectric power. Here, "small hydroelectric power generation" refers to generating electricity by utilizing the flow of water in rivers, irrigation channels, water supply and sewerage systems, etc., without storing water in a dam or the like. The small hydroelectric power generation device 4 may include a water wheel, a generator, etc.

[0023] The small hydroelectric power generation device 4 can be installed at any location within the livestock business establishment. The small hydroelectric power generation device 4 can be installed in a river, irrigation channel, water supply and sewerage system, etc. that flows through the livestock business establishment.

[0024] The power storage device 5 is not particularly limited as long as it can store the power generated by the power generation device. The power storage device 5 preferably includes a power storage unit, a control unit, a storage unit, and a communication interface. The power storage device 5 may also include any other configuration. The control unit may control charging and / or discharging in the power storage unit. The storage unit may store the amount of power stored in the power storage unit (hereinafter also referred to as the amount of stored power). The power storage device 5 may transmit the amount of stored power to the watt-hour meter 6, the server device 7, and / or the administrator terminal 8. The power storage device 5 may be communicatively connected to other devices via the communication interface. The amount of stored power of the power storage device 5 may be expressed, for example, in units of Wh (watt-hours). Note that a plurality of different structures may function as one power storage device 5.

[0025] The power storage device 5 may be, for example, a storage battery such as a lithium ion battery, a nickel-metal hydride battery, a lead acid battery, or an all-solid-state battery, a superconducting magnet energy storage device, a flywheel energy storage device, a thermal power storage device, or a compressed air storage device.

[0026] The power storage device 5 can be installed at any location. The power storage device 5 may be provided in addition to each power generation device. The power storage device 5 may be electrically connected to one or more power generation devices. At least a portion of the electricity generated by the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, and / or the small hydroelectric power generation device 4 may be stored in the power storage device 5.

[0027] The electricity generated by the biomass power generation system 1, the solar power generation system 2, the wind power generation system 3, and / or the small hydroelectric power generation system 4, and / or the electricity stored in the power storage device 5 may be used at the livestock business establishment, or may be used at a location different from the livestock business establishment. Alternatively, the electricity generated by the biomass power generation system 1, the solar power generation system 2, the wind power generation system 3, and / or the small hydroelectric power generation system 4, and / or the electricity stored in the power storage device 5 may be sold to an electric power company, an aggregator, or the like.

[0028] The watt-hour meter 6 is not particularly limited as long as it is capable of accumulating and measuring power. The watt-hour meter 6 preferably includes a power measurement unit, a control unit, a storage unit, and a communication interface. The watt-hour meter 6 may also include any other configuration. The control unit may control the measurement of the amount of power by the power measurement unit. The storage unit may store the amount of power measured by the power measurement unit in association with the time of measurement. The watt-hour meter 6 may be capable of communicating with other devices via the communication interface. The watt-hour meter 6 may transmit the measured amount of power and the time to the server device 7 and / or the administrator terminal 8. The watt-hour meter 6 may be a smart meter.

[0029] The watt-hour meter 6 is capable of measuring the amount of electricity transmitted through the power transmission lines owned by the power company. Therefore, the watt-hour meter 6 can be used to manage the amount of electricity sold.

[0030] Next, the server device 7 will be described. Fig. 2 is a block diagram showing a hardware configuration of the server device according to the embodiment of the present invention. The server device 7 includes at least a control unit 71, a RAM 72, a storage unit 73, and a communication interface 74, which are connected to each other via an internal bus.

[0031] The control unit 71 is composed of a CPU and a ROM, and executes programs stored in the storage unit 73 to control the server device 7. The control unit 71 also has an internal timer that measures time. The RAM 72 is a work area for the control unit 71. The storage unit 73 is a memory area for saving programs and data. The control unit 71 reads out the programs and data from the RAM 72, and performs program execution processing based on information received from the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, the watt-hour meter 6, or the administrator terminal 8.

[0032] The server device 7 may function in a distributed manner across multiple computer devices. For example, a distributed ledger technology such as a blockchain may be used instead of the server device 7. Alternatively, for example, a distributed ledger technology such as a blockchain may be used in conjunction with the server device 7.

[0033] Next, a description will be given of the manager terminal 8. The manager terminal 8 is operated by a manager who manages the livestock power generation system 10. The manager of the livestock power generation system 10 may be, for example, an operator of a livestock business establishment.

[0034] 3 is a block diagram showing a hardware configuration of an administrator terminal according to an embodiment of the present invention. The administrator terminal 8 includes a control unit 81, a RAM 82, a storage unit 83, an input unit 84, a display unit 85, and a communication interface 86, which are connected to each other via an internal bus.

[0035] The control unit 81 is composed of a CPU and a ROM. The control unit 81 executes programs stored in the storage unit 83 and controls the administrator terminal 8. The RAM 82 is a work area for the control unit 81. The storage unit 83 is a storage area for saving programs and data. In other words, the storage unit 83 functions as a recording medium that stores programs. The control unit 81 performs arithmetic processing based on the programs and data read from the RAM 82 and the data inputted by the input unit 84.

[0036] The display unit 85 has a display screen. The control unit 81 outputs a video signal for displaying an image on the display screen according to the result of the arithmetic processing. Here, the display screen of the display unit 85 may be a touch panel equipped with a touch sensor. In this case, the touch panel functions as the input unit 84.

[0037] The communication interface 86 can be connected to the communication network 9 wirelessly or via a wire, and can transmit and receive data to and from other computer devices via the communication network 9. Data received via the communication interface 86 is loaded into the RAM 82, and the control unit 81 performs arithmetic processing.

[0038] The program may also be stored in a recording medium such as a CD-ROM. In this case, the program stored in the recording medium may be installed in the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, the watt-hour meter 6, the server device 7, and / or the administrator terminal 8 to execute a predetermined function.

[0039] Alternatively, the program may be distributed from a computer device external to the livestock power generation system 10. In this case, the program distributed from the computer device external to the livestock power generation system 10 may be installed in the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, the small hydroelectric power generation device 4, the power storage device 5, the watt-hour meter 6, the server device 7, and / or the administrator terminal 8 to execute a predetermined function.

[0040] In the livestock power generation system 10, the watt-hour meter 6, the server device 7, and / or the manager terminal 8 can function as a computer device for managing the power generated by the power generation device.

[0041] The server device 7 and / or the manager terminal 8 may store the amount of power generated by the biomass power generation device 1, the solar power generation device 2, the wind power generation device 3, and / or the small hydroelectric power generation device 4 as a power generation record in association with the time of power generation. At this time, an identification ID is given to each power generation device, and the amount of power generated in chronological order associated with the identification ID may be stored as a power generation record. Furthermore, the server device 7 and / or the manager terminal 8 may store the amount of power used within the livestock business establishment, the amount of power sold by the livestock business establishment, etc. as a power amount record in association with the date and time of use or sale of the power.

[0042] The solar power generation device 2, the wind power generation device 3, and / or the small hydroelectric power generation device 4 are power generation devices whose generated electric power amount fluctuates depending on external environmental factors. The external environmental factors may include the amount of sunlight, wind speed, wind direction, the amount of water in a river, etc., and the flow rate. On the other hand, the biomass power generation device 1 is a power generation device capable of adjusting the amount of power generation by adjusting the conditions of the biomass, such as the amount and type (composition) of the biomass input to the biomass power generation device 1. In addition, when the biomass power generation device 1 employs a biochemical gasification method, the amount of power generation can be adjusted by adjusting the conditions of methane fermentation, such as the temperature, pressure, water content, and oxygen content in the methane fermentation tank. The conditions of methane fermentation are preferably those that can affect the amount of methane gas produced. The conditions of methane fermentation may be adjustable by changing the settings of the biomass power generation device 1. It is believed that methane fermentation proceeds efficiently under low pressure, waterproof, and anaerobic conditions. Hereinafter, conditions such as biomass conditions and methane fermentation conditions that may affect the amount of electricity generated by the biomass power generation system 1 are also referred to as biomass power generation conditions. When a livestock farming establishment is equipped with a biomass power generation system 1, a solar power generation system 2, a wind power generation system 3, and / or a small hydroelectric power generation system 4, it is possible to adjust the total amount of electricity generated at the livestock farming establishment by adjusting the power generation by the biomass power generation system 1.

[0043] The following describes how information related to biomass power generation (hereinafter also referred to as biomass power generation information) is identified in the livestock power generation system 10. Fig. 4 is a diagram showing a flowchart of biomass power generation information identification processing according to an embodiment of the present invention.

[0044] First, the server device 7 acquires information about the weather (hereinafter also referred to as weather information) (step S101). Based on the acquired weather information, the server device 7 predicts the amount of power (hereinafter also referred to as power generation amount) generated by power generation devices other than the biomass power generation device 1 (step S102). The server device 7 identifies information about biomass power generation based on the predicted power generation amount (step S103). The server device 7 transmits the identified biomass power generation information to the manager terminal 8 (step S104). The manager terminal 8 receives the transmitted biomass power generation information (step S105). The manager terminal 8 outputs the received biomass power generation information (step S106), and the biomass power generation information identification process ends.

[0045] The weather information in step S101 may be information about elements that represent atmospheric conditions and phenomena. It is preferable that the weather information is information that can affect the amount of power generated by the solar power generation device 2, the wind power generation device 3, and / or the small hydroelectric power generation device 4. In other words, the weather information may be a subordinate concept to information about power generation by power generation devices other than the biomass power generation device 1. The weather information may include, for example, the amount of sunlight, wind speed, wind direction, and precipitation. It is preferable that the amount of sunlight, wind speed, wind direction, and precipitation are associated with the date and time. The weather information may be future, current, or past. From the viewpoint of making it easier to predict the amount of power generation by power generation devices other than the biomass power generation device 1 in step S102, it is preferable that the weather information acquired in step S101 includes future weather information, that is, a weather forecast.

[0046] In step S101, the method by which the server device 7 acquires the weather information is not particularly limited and can be designed as appropriate. For example, the server device 7 may acquire the weather information by receiving the weather information from a server device of a provider that provides the weather information.

[0047] In step S102, the method by which the server device 7 predicts the amount of power generated by power generation devices other than the biomass power generation device 1 is not particularly limited and can be designed as appropriate.

[0048] For example, the server device 7 may predict the amount of power generation using a prediction model (learning model) that has been machine-learned using meteorological information as input data and the amount of power generated by power generation devices other than the biomass power generation device 1 as output data. Here, past weather information and the amount of power generated at the livestock business establishment equipped with the power generation device may be used as teacher data for this prediction model. For example, past weather information at the location of the livestock business establishment is used as input data, and the amount of power generated by power generation devices other than the biomass power generation device 1 at the time corresponding to the weather information is used as output data. The amount of power generated by power generation devices other than the biomass power generation device 1 at the time corresponding to the weather information may be stored as a power generation record. In this way, it is possible to predict the amount of power generation according to the location, size, performance, etc. of each power generation device equipped at the livestock business establishment.

[0049] The weather information as input data may be one or more of the amount of sunlight, wind speed, wind direction, precipitation, etc. Furthermore, the amount of power generated by power generation devices other than the biomass power generation device 1 as output data may be the total amount of power generated by power generation devices other than the biomass power generation device 1, or may be the individual amount of power generated by each power generation device other than the biomass power generation device 1.

[0050] The machine learning algorithm is not particularly limited, and any known algorithm can be used, such as linear regression, multiple regression analysis, support vector machines, decision trees, random forests, and deep learning using multi-layer neural networks.

[0051] A multilayer neural network has an input layer, an output layer, and multiple intermediate layers. Weights are set for the edges connecting the nodes in each layer. Weights corresponding to each input to the node are set for the edges, and the edges are multiplied by the weights corresponding to each input to the node, and the values ​​obtained by multiplying these weights are added to a bias. The value obtained by the addition is nonlinearly transformed using an activation function to calculate an activation value. The calculated activation value becomes the input value passed to the node in the next layer. The number of intermediate layers can be designed as appropriate. The weights are optimized using the above-mentioned training data.

[0052] When a weather forecast (future weather information) is input to the prediction model based on machine learning as described above, the future amount of power generated by power generation devices other than the biomass power generation device 1 is output as prediction data.

[0053] The biomass power generation information in step S103 may be information related to biomass power generation. The biomass power generation information may be, for example, the amount of power generated by the biomass power generation apparatus 1 and the biomass power generation conditions adopted in the biomass power generation apparatus 1. The biomass power generation conditions include biomass conditions, methane fermentation conditions, etc.

[0054] When the biomass power generation apparatus 1 generates biomass power by a biochemical gasification method, for example, based on the predicted power generation amount, biomass conditions such as the amount and type (composition) of biomass to be input to the biomass power generation apparatus 1, and methane fermentation conditions such as the temperature, pressure, moisture content, and oxygen content in the methane fermentation tank may be specified.

[0055] When biomass power generation is performed using a biochemical gasification method and the biomass power generation apparatus 1 is capable of generating power using the excrement of livestock animals raised within the livestock facility, the amount of livestock animal excrement to be input into the biomass power generation apparatus 1 may be determined, for example, based on the predicted amount of power generation.

[0056] When the biomass power generation apparatus 1 generates biomass power by a pyrolysis gasification method or a direct combustion method, the biomass power generation information may be the amount of power generated by the biomass power generation apparatus 1 or the conditions of the biomass.

[0057] The method of identifying the amount of power generated by the biomass power generation apparatus 1 is not particularly limited and can be designed as appropriate. The amount of power generated by the biomass power generation apparatus 1 may be identified, for example, by subtracting the amount of power generated by power generation apparatuses other than the biomass power generation apparatus 1, predicted in step S102, from the total amount of power generation that the business operator wishes to obtain from the power generation apparatuses installed in the business premises. Alternatively, the amount of power generated by the biomass power generation apparatus 1 may be identified, for example, by subtracting the amount of power generated by power generation apparatuses other than the biomass power generation apparatus 1, predicted in step S102, from the amount of power used in the livestock business premises in the same period in the past.

[0058] The method for specifying the biomass power generation conditions to be adopted in the biomass power generation apparatus 1 is not particularly limited and can be designed as appropriate.

[0059] For example, the biomass power generation conditions employed in the biomass power generation apparatus 1 may be specified based on the power generation record. The power generation record preferably stores the biomass power generation conditions when the amount of power generated by the biomass power generation apparatus 1 is generated in association with the amount of power generated by the biomass power generation apparatus 1. For example, the server device 7 may specify the amount of power generated by the biomass power generation apparatus 1 as described above, and specify, as biomass power generation information, the biomass power generation conditions stored in the power generation record in association with the amount of power generated that is the same as or close to the specified amount of power generation.

[0060] Alternatively, for example, the biomass power generation conditions to be adopted in the biomass power generation apparatus 1 may be specified using a prediction model (learning model) that is machine-learned using the amount of power generated by the biomass power generation apparatus 1 as input data and the biomass power generation conditions as output data. Here, the amount of power generated in the past and the biomass power generation conditions of the biomass power generation apparatus 1 provided at the livestock business establishment may be used as teacher data for this prediction model. For example, the amount of power generated in the past by the biomass power generation apparatus 1 is used as input data, and the biomass power generation conditions when the amount of power was generated are used as output data. The amount of power generated in the past by the biomass power generation apparatus 1 and the biomass power generation conditions when the amount of power was generated may be stored as power generation records. In this way, it is possible to predict the amount of power generation according to the size, performance, etc. of the biomass power generation apparatus 1 provided at the livestock business establishment.

[0061] The biomass power generation conditions as output data may be one or more of the amount and type (composition) of biomass input to the biomass power generation apparatus 1, the temperature, pressure, moisture content, oxygen content, and the like in the methane fermentation tank.

[0062] Regarding the machine learning algorithm, the above description can be adopted to the extent necessary.

[0063] For example, when the amount of power generated by the biomass power generation apparatus 1 is specified as described above and the specified amount of power generation is input to the prediction model that has been machine-learned as described above, the biomass power generation conditions to be adopted for obtaining the specified amount of power generation are output as prediction data. The server device 7 may specify the output biomass power generation conditions as biomass power generation information.

[0064] In step S104, the biomass power generation information identified in step S103 is transmitted to the manager terminal 8. At this time, the amount of power generation by power generation devices other than the biomass power generation device 1 predicted in step S102 may also be transmitted to the manager terminal 8.

[0065] In step S106, the method by which the manager terminal 8 outputs the biomass power generation information is not particularly limited and can be designed as appropriate. The manager terminal 8 may display the biomass power generation information on a display screen, or may output the biomass power generation information as audio through a speaker. In addition, when the manager terminal 8 receives the amount of power generated by a power generation device other than the biomass power generation device 1, the manager terminal 8 may output the amount of power generated by the power generation device other than the biomass power generation device 1 together with the biomass power generation information.

[0066] The administrator can check the outputted biomass power generation information and determine the biomass power generation conditions to be adopted in the biomass power generation apparatus 1.

[0067] The timing for executing the biomass power generation information identification process is not particularly limited and can be designed as appropriate. The biomass power generation information identification process may be executed at a predetermined time interval, or may be executed in response to an operational input from an administrator. The predetermined time interval is not particularly limited. For example, the predetermined time interval may be once every three days, once every day, or once every 1 / 30 seconds.

[0068] Furthermore, there are no particular limitations on how far into the future weather information is obtained in step S101 and for how long a period, how far into the future power generation amount is predicted in step S102 and for how long a period the power generation amount is predicted for, and how far into the future biomass power generation information is specified in step S103 and for how long a period the biomass power generation information is specified for, and these can be designed as appropriate.

[0069] The amount of power generated by a power generation device other than the biomass power generation device 1 predicted in step S102 and / or the biomass power generation information identified in step S103 may be stored in the server device 7 and / or the manager terminal 8.

[0070] In the above, an example was given of the server device 7 acquiring weather information, predicting power generation volume, and identifying biomass power generation information, but the acquisition of weather information, prediction of power generation volume, and / or identification of biomass power generation information may also be performed by the administrator terminal 8.

[0071] In addition, in the above, an example was given of creating a prediction model based on weather information to predict the amount of power generated by a power generation device other than the biomass power generation device 1, but the input data for the prediction model for predicting the amount of power generated by a power generation device other than the biomass power generation device 1 is not particularly limited and can be designed as appropriate.

[0072] For example, information acquired by a sensor provided in each power generation device (hereinafter also referred to as sensor information) may be used as input data for the prediction model in addition to meteorological information. The sensor information may include the amount of sunlight near the solar panel provided in the solar power generation device 2, the wind direction and / or wind speed at the location where the wind power generation device 3 is installed, the amount of water and / or flow speed of the river or the like where the small hydroelectric power generation device 4 is installed, etc. The sensor information may be transmitted from each power generation device to the server device 7 and / or the administrator terminal 8 and stored in association with the time when the sensor information was acquired.

[0073] In addition, in the above, an example was given of creating a prediction model based on weather information and predicting the amount of power generated by a power generation device other than biomass power generation device 1, but the amount of power generated by a power generation device other than biomass power generation device 1 may also be predicted without using a prediction model.

[0074] For example, predictions may be made by calculating the amount of power generated by power generation devices other than the biomass power generation device 1 based on a formula or the like from meteorological information and / or sensor information. Specifically, the amount of power generated by the solar power generation device 2 may be predicted from the amount of sunlight, the amount of power generated by the wind power generation device 3 may be predicted from the wind direction and / or wind speed, and the amount of power generated by the small hydroelectric power generation device 4 may be predicted from the amount of water and / or flow speed of a river or the like.

[0075] Also, for example, the power generation record may be used to predict the amount of power generated by a power generation device other than the biomass power generation device 1. For example, the average amount of power generated by a power generation device other than the biomass power generation device 1 at a predetermined time in the past may be predicted as the amount of power generated by the power generation device other than the biomass power generation device 1 at the same time in the future.

[0076] In the livestock power generation system of the present invention, biomass power generation information may be specified based on information predicted by any method regarding power generation by a power generation device other than the biomass power generation device 1. Information regarding power generation by a power generation device other than the biomass power generation device 1 may include the amount of power generated by the power generation device other than the biomass power generation device 1, the amount of power to be generated by the power generation device other than the biomass power generation device 1, meteorological information, and the like.

[0077] In addition, in the above, an example was given of a prediction model being created based on the amount of electricity generated by a power generation device other than the biomass power generation device 1, and biomass power generation information being predicted, but the input data for the prediction model for predicting biomass power generation information is not particularly limited and can be designed as appropriate.

[0078] For example, as input data for the prediction model, the date and time when the amount of power was generated, meteorological information, sensor information, etc. may be used in addition to the amount of power generated by a power generation device other than the biomass power generation device 1. For the meteorological information and sensor information, the above descriptions may be adopted to the extent necessary. In addition, some of the items given above as examples of output data, such as the type (composition) of biomass input to the biomass power generation device 1, may be used as input data.

[0079] In addition, in the above, an example was given of identifying biomass power generation information based on the predicted power generation amount by a power generation device other than biomass power generation device 1, but the method of identifying biomass power generation information is not particularly limited and can be designed as appropriate.

[0080] For example, biomass power generation information may be specified based on the amount of power currently or in the past generated by a power generation device other than the biomass power generation device 1. Specifically, for example, the amount of power generated by the biomass power generation device 1 may be specified by subtracting the amount of power currently generated by a power generation device other than the biomass power generation device 1 from the total amount of power generation that the business operator wishes to obtain from the power generation devices installed in the business premises.

[0081] Also, for example, biomass power generation information may be specified regardless of power generation equipment other than the biomass power generation equipment 1. Specifically, for example, the average value of the amount of power generated by the biomass power generation equipment 1 at a predetermined time in the past may be specified as the amount of power generated by the biomass power generation equipment 1 at that time in the future. Also, specifically, for example, the average of the biomass power generation conditions adopted in the biomass power generation equipment 1 at a predetermined time in the past may be specified as the biomass power generation conditions to be adopted in the biomass power generation equipment 1 at that time in the future.

[0082] In the above, a prediction model is created to predict the amount of power generated by a power generation device other than the biomass power generation device 1 based on meteorological information, and biomass power generation information is specified based on the predicted amount of power generated by a power generation device other than the biomass power generation device 1. However, biomass power generation information may be predicted based on meteorological information. In this case, for example, a prediction model may be created in which meteorological information is used as input data and biomass power generation information is used as output data. Sensor information, etc. may also be used as input data.

[0083] In the livestock power generation system of the present invention, biomass power generation information may be identified by any method.

[0084] In this way, the livestock power generation system is equipped with a power generation device installed in the livestock business, so that it is possible to generate electricity at the livestock business. A livestock business capable of generating electricity can be said to function as a livestock power plant.

[0085] In addition, by using a biomass power generation device, a solar power generation device, a wind power generation device, and / or a small hydroelectric power generation device as the power generation device, it becomes possible to perform biomass power generation, solar power generation, wind power generation, and / or small hydroelectric power generation at the livestock farming facility. It can be said that biomass power generation, solar power generation, wind power generation, and / or small hydroelectric power generation are power generation methods that can effectively utilize resources owned by the livestock farming facility, such as the vast grounds of the livestock farming facility and waste generated at the livestock farming facility.

[0086] In this way, the livestock power generation system is equipped with a computer device for managing the electricity generated by the power generation device, the power generation device being a biomass power generation device, and the computer device is equipped with an identification means for identifying biomass power generation information related to power generation by the biomass power generation device, making it possible to identify information for adjusting the amount of power generated by biomass power generation.

[0087] Furthermore, in this way, the power generation equipment is a biomass power generation equipment, as well as a solar power generation equipment, a wind power generation equipment, and / or a small hydroelectric power generation equipment, and the identification means identifies biomass power generation information based on information regarding power generation by power generation equipment other than the biomass power generation equipment, making it possible to identify information for adjusting the amount of power generation by biomass power generation based on information regarding power generation by power generation equipment other than the biomass power generation equipment.

[0088] In this way, the computer device is equipped with a prediction means for predicting the amount of power generation by a power generation device other than a biomass power generation device, and the identification means identifies biomass power generation information based on the predicted amount of power generation, making it possible to identify information for adjusting the amount of power generation by biomass power generation based on the prediction of the amount of power generation by a power generation device other than a biomass power generation device.

[0089] In this way, the biomass power generation device is capable of generating electricity using the excrement of livestock animals raised within the livestock business, and the prediction means predicts the amount of electricity generated by power generation devices other than the biomass power generation device based on information regarding the weather, and the identification means identifies the amount of livestock animal excrement to be input into the biomass power generation device as biomass power generation information, making it possible to predict the amount of electricity generated by power generation devices other than the biomass power generation device based on the weather information and to identify the amount of livestock animal excrement to adjust the amount of electricity generated by biomass power generation.

[0090] Furthermore, by providing the livestock power generation system with a power storage device that stores the electricity generated by the power generation device, it becomes possible to store the electricity generated at the livestock business establishment. [Explanation of symbols]

[0091] 1. Biomass power generation equipment 2. Solar power generation equipment 3. Wind power generation equipment 4. Hydroelectric generating equipment 5. Energy storage device 6 Energy meter 7 Server equipment 8. Administrator terminal 9. Communication Networks 10 Livestock power generation system 71 Control Unit 72 RAM 73 Storage Department 74 Communication Interface 81 Control Unit 82 RAM 83 Storage Department 84 Input section 85 Display section 86 Communication Interface

Claims

1. A power generation device installed in a livestock business; A computer device for managing the power generated by the power generation device; Equipped with The power generation device is a biomass power generation device, a solar power generation device, a wind power generation device, and / or a small hydroelectric power generation device, A computer device comprising: A means for identifying biomass power generation information relating to power generation by a biomass power generation device Equipped with The identification means identifies biomass power generation information based on information on power generation by a power generation device other than the biomass power generation device. Livestock power generation system.

2. The identification means identifies, as the biomass power generation information, the amount and / or type of biomass, and / or the temperature, moisture content, and / or oxygen content in the methane fermentation tank. The livestock power generation system according to claim 1 .

3. A computer device comprising: A method for predicting the amount of power generated by a power generating device other than a biomass power generating device Equipped with The identification means identifies biomass power generation information based on the predicted power generation amount. The livestock power generation system according to claim 1 .

4. The biomass power generation device is capable of generating electricity using the excrement of livestock animals raised in the livestock business. The prediction means predicts the amount of power generated by a power generation device other than the biomass power generation device based on information on meteorology, The specifying means specifies, as the biomass power generation information, the amount of livestock excrement to be input into the biomass power generation device. The livestock power generation system according to claim 3 .

5. A computer device comprising: Meteorological information acquisition means for acquiring meteorological information Equipped with The power generation device includes a sensor; The prediction means predicts the amount of power generated by the power generation device other than the biomass power generation device based on meteorological information and sensor information acquired by the sensor. The livestock power generation system according to claim 3 .

6. A computer device comprising: Biomass power generation information output means for outputting the specified biomass power generation information Equipped with The livestock power generation system according to any one of claims 1 to 5.

7. A power storage device that stores electric power generated by a power generation device Equipped with The livestock power generation system according to any one of claims 1 to 5.

8. Electricity is generated by the livestock power generation system according to any one of claims 1 to 5. Livestock power generation methods.

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