Planning device and planning method
Patent Information
- Application Number
- JP2022135171
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2021-08-30
- Filing Date
- 2022-08-26
- Publication Date
- 2026-08-21
- Estimated Expiration
- 2042-08-26
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to a planning device and a planning method.
Background Art
[0002] Conventionally, there has been disclosed a power supply and demand planning device including an output range calculation unit that calculates an output range of a generator that satisfies a plurality of constraint conditions, an output calculation unit that calculates a generator output in a single cross-section based on the output range calculated by the output range calculation unit, and a past cross-section output correction unit that calculates a target output in the single cross-section when a constraint condition violation occurs in the generator output in the single cross-section calculated by the output calculation unit, and corrects the output range and the generator output in the single cross-section and a past cross-section more past than the single cross-section so that the generator output in the single cross-section becomes the target output to eliminate the constraint condition violation.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] Conventionally, energy management has been carried out for the purpose of reducing costs such as fuel. However, in recent years, the demand for carbon neutrality has been increasing, and in the future, management considering the reduction of carbon dioxide emissions and the cost related to carbon dioxide emissions (by so-called carbon pricing) is expected to be required. The problem to be solved by the present invention is to provide a planning device and a planning method that can more appropriately support energy management.
Means for Solving the Problems
[0005] The planning device of the embodiment is a planning device for creating a power management plan for a plant, comprising: a power unit model corresponding to the power unit that produces energy for the plant; a production unit model corresponding to the production unit that consumes the energy for the plant to produce products; a power trading unit model that estimates the profit and loss from power trading between the plant and the power grid; and using each of the plant models, it estimates the operating costs of the power unit and the production unit, and using the power trading unit model, it estimates the power trading revenue, and the operating costs and the power trading revenue The change in the value of the objective function with parameter becomes sufficiently small. Thus, it includes a power unit and a creation unit that creates a power management plan for the production unit. [Brief explanation of the drawing]
[0006] [Figure 1] A diagram illustrating the overall structure of Planning System 1. [Figure 2] A diagram conceptually illustrating the digital model. [Figure 3] A diagram showing an example of an actual plant. [Figure 4] A diagram showing an example of the functional configuration of the planning device 50. [Figure 5] A diagram illustrating the information used in each model. [Figure 6] A diagram illustrating the information input to the planning device 50 and the information output by the planning device 50. [Figure 7] A flowchart showing an example of the processing flow executed by the planning device 50. [Figure 8] A diagram showing an example of an image displayed on the display unit. [Modes for carrying out the invention]
[0007] The planning apparatus and planning method of the embodiment will be described below with reference to the drawings.
[0008] <Overview> Figure 1 is a diagram illustrating the overall structure of the planning system 1. The planning system 1 comprises a target facility (e.g., a target plant) 10 and a planning device 50. The planning device 50 stores a digital model corresponding to the target plant 10 in its memory unit (step S1). The digital model is a model that virtually assumes the processes (various operations) of the target plant and the processes (various operations) related to power trading in the power grid.
[0009] Next, the planning device 50 uses the digital model to generate a power plan (a plan for power generation, consumption, power trading, etc.) (step S2). This plan is a power management plan for operating each part of the plant so that the desired indicators meet the criteria. The plan includes, for example, proposed modifications to the model parameters in each process. The proposed modifications include suggestions for improving energy efficiency, revenue from power trading, CO2 emissions, etc.
[0010] Next, the planning device 50 provides the generated plan to the target plant or to the manager of the target plant (step S3). At the target plant, the plan (e.g., parameters for the operation of the facility's equipment and facilities) is modified based on the provided plan, or equipment is updated or added (e.g., batteries are added) to improve energy efficiency, revenue from electricity trading, CO2 emissions, etc. Alternatively, the plan may be provided from the manager of the planning device 50 to the manager of the target plant.
[0011] <Digital Model> Figure 2 is a conceptual diagram illustrating the digital model. Digital models are prepared according to the target facility. For example, digital models are prepared for buildings, warehouses, hospitals, public facilities, commercial facilities, stores, etc. In this example, a plant consisting of equipment that produces energy (power unit), equipment that stores energy (energy storage unit), and equipment that produces products (production unit) will be explained as an example.
[0012] Figure 2 conceptually illustrates a digital model of a plant. The digital model consists of, for example, a virtual plant Vp and a virtual trading process Vt. The virtual plant Vp comprises a power unit Vp1, an energy storage unit Vp2, and a production unit (process / air conditioning) Vp3. The power unit Vp1, energy storage unit Vp2, and production unit Vp3 are virtual models representing the actual power unit, energy storage unit, and production unit.
[0013] The power unit Vp1 generates energy such as electricity. The power unit is existing equipment present in the target plant. For example, it is equipment that generates electricity and heat (steam) using thermal power (coal / LNG; Liquefied Natural Gas). New power generation equipment (biomass / ammonia co-firing / solar power / wind power) may be added to the power unit Vp1. This embodiment also includes cases where renewable energy power generation equipment is already present. For example, in this embodiment, solar power generation equipment and wind power generation equipment may be provided as existing equipment.
[0014] The energy storage unit Vp2 stores the energy supplied by the power unit Vp1. The energy storage unit Vp2 includes energy storage equipment such as batteries for storing electricity, hydrogen storage equipment for storing hydrogen, and thermal storage equipment for storing heat (steam).
[0015] The production unit Vp3 performs various processes using energy supplied from the power unit Vp1, the energy storage unit Vp2, the heat pump included in the production unit Vp3, and the power grid. These processes include processes for creating products generated in the plant and processes related to operations performed in the plant. Energy refers to electricity, hot water, chilled water, heat, steam, etc. The production unit Vp3 may also perform various processes using energy supplied directly from newly added power generation equipment (biomass / ammonia co-firing / solar power generation / wind power) without going through the energy storage unit Vp2. Similarly, if power generation equipment equivalent to the new power generation equipment is already in place, the production unit Vp3 may also perform various processes using energy supplied directly from the above-mentioned power generation equipment (biomass, etc.) without going through the energy storage unit Vp2. Furthermore, the production unit Vp3 may utilize carbon dioxide emitted by the power unit Vp1 as a raw material for chemical products. The CCS (Carbon dioxide Capture and Storage) / CCU (Carbon dioxide Capture and Utilization) equipment recovers carbon dioxide emitted by the power unit Vp1 and supplies it to the production unit Vp3.
[0016] The virtual trading process Vt includes the matching platform Vt1. The virtual trading process Vt and matching platform Vt1 are models that virtually represent the actual trading process and matching platform. Matching platform Vt1 supports the trading of electricity with the power grid or other power sources. Trading includes trading of electricity supplied to plants and electricity supplied by plants. Matching platform Vt1 supports trading of electricity sales, electricity purchases, adjustment capacity to balance the supply and demand of electricity (e.g., adjustment capacity based on power sources such as thermal power and biomass), non-fossil fuel certificates, greenhouse gas emission rights, etc. An example of the approach to determining adjustment capacity (hereinafter sometimes referred to as adjustment amount) will be explained with reference to Figure 6 below. In the virtual trading process Vt, it is only necessary to simulate various transactions described above, and it is not necessary to simulate the matching platform. In addition, non-fossil certificates, etc. include those used for so-called environmental value transactions based on existing and future systems.
[0017] Here, for example, a digital model is generated in consideration of the power and production of an actual plant. FIG. 3 is a diagram showing an example of an actual plant. For example, an actual plant includes a boiler, a turbine, an engine, an exhaust gas boiler, a production department (process), etc. A digital model is generated taking into account the performance evaluation of the boiler, the performance evaluation of the turbine, the performance evaluation of the engine, and various energy losses. Furthermore, a digital model is generated taking into account the evaluation regarding the power purchase of the power company.
[0018] For example, parameters such as the turbine steam flow rate of a turbine generator, the effective power of the turbine generator, the steam flow rate of the boiler, the valve opening degree of the steam valve, the steam demand of the manufacturing process, the power demand of the manufacturing process, various power prices, the output setting bias of the boiler, and the outlet pressure reducing valve bias of the boiler are taken into account to generate a model. The various power prices are the predicted selling or buying price of green power and the predicted selling or buying price of power other than green power (e.g., gray power). Green power is power generated by natural energy. Depending on the system, power may be traded without being distinguished between green power and gray power, and non-fossil certificates, etc. may be traded separately from power. This embodiment also includes such cases. For the sake of convenience of explanation, the trading / price of non-fossil certificates, etc. will be described below as the trading (selling power, buying power) / price of green power.
[0019] A digital model is generated taking into account the power unit (boiler, turbine, etc.) of the actual plant and various parameters of the production unit as described above. The planning device 50 holds the generated digital model.
[0020] The planning device 50 provides energy management services using a digital model that corresponds to an actual plant. For example, the planning device 50 proposes improvements to the thermal efficiency of the power unit and optimization of energy through the updating and addition of power generation equipment. Furthermore, the planning device 50 supports improvements to processing in the production unit, accelerates energy storage and carbon dioxide capture, and promotes decarbonization through CCS / CCU. In addition, the planning device 50 performs energy matching by connecting to the power grid and other companies' power sources, meeting the needs for utilizing surplus energy and introducing renewable energy.
[0021] <Planning device> Figure 4 shows an example of the functional configuration of the planning device 50. The planning device 50 includes, for example, a parameter registration unit 60, a generation unit 70, a supply unit 80, and a storage unit 90. The parameter registration unit 60, the generation unit 70, and the supply unit 80 are realized, for example, by a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components may be realized by hardware (including circuitry) such as an LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or GPU (Graphics Processing Unit), or by the cooperation of software and hardware. The program may be stored in advance in a storage device such as an HDD (Hard Disk Drive) or flash memory (a storage device with a non-transient storage medium), or it may be stored in a removable storage medium such as a DVD or CD-ROM (a non-transient storage medium) and installed in the storage device when the storage medium is mounted on a drive device.
[0022] The storage unit 90 is composed of, for example, an HDD (Hard Disk Drive), flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), ROM (Read Only Memory), or RAM (Random Access Memory).
[0023] The parameter registration unit 60 retrieves parameters to be applied to the model stored in the storage unit 90 and registers the retrieved parameters in the storage unit 90. The registered parameters are applied to the corresponding model (power unit model 92, energy storage unit model 94, production unit model 96, or power trading unit model 98). The parameters are determined, for example, by the plant's operating schedule, the product manufacturing schedule, the amount of electricity required, and indicators related to power trading.
[0024] The generation unit 70 generates a power management plan for the plant based on each model stored in the storage unit 90. The generation unit 70 estimates the operating costs of the power unit, energy storage unit, and production unit using each plant model, estimates the revenue from electricity trading using the electricity trading unit model, and creates a power management plan for some or all of the power unit, energy storage unit, or production unit so that the indicators based on operating costs and electricity trading revenue meet the criteria. Details of this will be described later.
[0025] The supply unit 80 provides the user with a power management plan generated by the generation unit 70. The user is, for example, a plant manager, a terminal device for managing the plant, or the administrator of the planning device 50.
[0026] The memory unit 90 stores the power unit model 92, the energy storage unit model 94, the production unit model 96, and the power trading unit model 98. The power unit model 92, the energy storage unit model 94, the production unit model 96, and the power trading unit model 98 are models of the power unit, energy storage unit, production unit, and power trading unit of an actual plant, respectively (virtual plant Vp and virtual trading process Vt). The memory unit 90 stores energy unit prices and CO2 emission factors. For example, it stores the unit price of fuel used in the power unit model 92, the coefficient for calculating CO2 emissions per unit amount of fuel, and the coefficient for calculating CO2 emissions per unit amount of purchased electricity. This information is used to calculate costs and CO2 emissions, as will be described later.
[0027] <Examples of information used in each model> Figure 5 is a diagram illustrating the information used in each model. In the example in Figure 5, the energy storage unit model 94 is omitted from the explanation, but even when applying the energy storage unit model 94, the model can be applied in the same way as described later to determine each indicator. For example, each indicator is determined by considering the process of the energy storage unit model 94 storing electricity output from the power unit model 92 or electricity obtained from the grid, and supplying the stored electricity to necessary equipment or for sale at predetermined timings.
[0028] The Power Unit Model 92 is a model for determining the electricity and steam supplied by the power unit. Electricity and steam are generated by the power unit based on electricity procured from the Electricity Trading Unit Model 98 and fuel. The supply amounts of electricity and steam (electricity demand, steam demand) are the amounts required by the set production plan. Steam demand is the demand for each pressure. Steam demand increases or decreases depending on the ambient temperature, etc., even if the production plan remains unchanged. The coefficients for increase or decrease are predetermined.
[0029] The power unit model 92 determines the above-mentioned power and steam by taking into account, for example, the plant configuration and the characteristics of the equipment installed in the plant. The plant configuration includes characteristics such as the source, destination, diameter, distance, and surface roughness of the piping, and the equipment that makes up the plant. The characteristics of the equipment include the upper limit of the equipment's input, the upper limit of its output, the relationship between the equipment's input and output, and fuel consumption. The power unit model 92 determines the power and steam to be supplied based, for example, the operating settings of each piece of equipment managed by the given power unit.
[0030] Operating settings include, for example, instructions for controlling the start or stop of a turbine generator, the output of the turbine generator, the extraction flow rate of the turbine generator (extraction control valve opening), instructions for controlling the start or stop of a gas engine, and instructions for starting or stopping a boiler.
[0031] The production unit model 96 determines the products to be produced based on the electricity and steam determined by the power unit model 92. While materials are also necessary for product manufacturing, this is omitted here.
[0032] The Power Trading Department Model 98 obtains the unit prices for buying and selling electricity, the unit price for adjustment power, and emission allowances for each type of electricity (green electricity, gray electricity), and manages the buying and selling of electricity, adjustment power, and emission allowances. For example, the Power Trading Department Model 98 estimates at least the revenue from trading green electricity (selling and buying electricity) and trading adjustment power.
[0033] Figure 6 is a diagram illustrating the information input to and output by the planning device 50. The planning device 50 performs energy matching and energy management. Energy matching is the process of deriving planned values for electricity purchase and sale, planned values for adjustment capacity, and planned values for emission allowances, according to the adjustment capacity unit price and emission allowances. Energy management is the process of deriving operating setting values for each piece of equipment managed by the power unit, as well as management indicators for the entire power unit, according to the plant's configuration and equipment characteristics, power demand and steam demand determined from the production plan, and the power unit price. Management indicators include electricity consumption, electricity purchase or sale, fuel consumption, CO2 emissions, and efficiency.
[0034] The planning device 50 derives the amount of power that can be adjusted in energy management and the amount of power adjustment in energy matching. The planning device 50 may adjust the amount of power adjustment and the amount of power that can be adjusted, or it may determine each indicator so that, for example, the planned value of electricity sales, the planned value of adjustment capacity, the planned value of emission allowances, the operation set value, and the management indicators are optimized.
[0035] In the example above, power sources that can be used for power adjustment (adjustment capacity), such as thermal power and biomass, can monetize their surplus as adjustment capacity. In particular, in this embodiment, energy management improves the efficiency of energy use, increases the amount of green electricity purchased with the aim of reducing CO2 emissions, and adds or updates power generation facilities, etc., which reduces the amount of energy that existing thermal power generation facilities generate for plant operation, creating surplus capacity, and this surplus electricity can be sold as adjustment capacity.
[0036] In particular, reducing carbon dioxide emissions could create surplus capacity in existing thermal power plants. By optimizing these plants to generate revenue as a balancing force, it is possible to formulate a more optimal plan both economically and in terms of CO2 reduction.
[0037] <Flowchart> Figure 7 is a flowchart showing an example of the processing flow performed by the planning device 50. This flowchart is the process of creating output data using input data in the energy management system described in Figure 6. This process minimizes (reduces) the total cost within constraints. In other words, it solves an optimization problem. The total cost is selected before the process starts, and the constraints are conditions set from the input data. The total cost may include one or both of the costs (operating costs) obtained from one or more models among the power unit model 92, the energy storage unit model 94, or the production unit model 96, and the electricity trading revenue obtained from the electricity trading unit model 98, or it may be the total cost corresponding to the objective function described below.
[0038] First, the generation unit 70 of the planning device 50 sets an objective function (step S100). The objective function is, for example, a function like the following. The objective function may include other items, and weights may be assigned to give emphasis to any item. For example, the total cost may be determined by taking into account the operating costs of multiple units, such as the power unit, the energy storage unit, or the production unit. Objective function; Total cost = Boiler fuel consumption × Fuel cost + Amount of electricity purchased × Cost of electricity purchased
[0039] Next, the generation unit 70 sets the constraint equations (step S102). The constraint equations are, for example, constraint equations 1, 2, and 3 below. The items and values of the constraint equations may be set by the user or may be set in advance. Constraint Equation 1: Lower limit of boiler output ≤ Boiler output ≤ Upper limit of boiler output Constraint equation 2: Lower limit of turbine generator output ≤ Turbine generator output ≤ Upper limit of turbine generator output Constraint Equation 3: Lower limit of turbine extraction volume ≤ Turbine extraction volume ≤ Upper limit of turbine extraction volume
[0040] Next, the generation unit 70 sets (changes) the operation setting value (step S104). Next, the generation unit 70 calculates the objective function (step S106). The generation unit 70 applies the operation setting value to each model and obtains the output value of the model (for example, boiler output, turbine generator output, turbine extraction volume, etc.). Next, the generation unit 70 checks whether the output value in the calculation of the objective function satisfies the constraint equation. If the constraint equation is not satisfied, the operation setting value is determined to be outside the acceptable range; if the constraint equation is satisfied, the operation setting value is determined to be within the acceptable range.
[0041] Next, the generation unit 70 determines whether the change in the current objective function value (total cost) is sufficiently small compared to the previous objective function value (step S110). If there is no previous objective function value immediately after starting the processing of this flowchart, the processing from step S110 onwards is skipped, and the processing from step S104 is performed, followed by the subsequent processing.
[0042] In step S110, if the change is not sufficiently small, it is expected that the objective function value will become more optimal, so the process proceeds to step S104, where the operation setting value is changed and the process proceeds to the next step. If the change is sufficiently small, it is not expected that the objective function value will become more optimal, so the generation unit 70 obtains the calculation result of the objective function and calculates the management index for the entire power unit (step S114). This completes the processing of one routine in this flowchart.
[0043] Through the process described above, the planning device 50 can derive management indicators for the entire power unit in such a way that indicators such as total cost are reduced, thereby supporting more appropriate energy management.
[0044] For example, the management plan obtained through the above process (or a revised version of a previously requested management plan) and the effects of the management plan (or revised version) are displayed on the display unit of the terminal device used by the user. The display unit shows information such as the operation plan for the power unit, the operation plan for energy storage, and the plan for electricity trading (information related to the management plan), as well as a revised version of the previous management plan. Furthermore, it shows the degree of improvement in energy efficiency, revenue from electricity trading, and CO2 emissions if the management plan is implemented.
[0045] Figure 8 shows an example of an image displayed on the display unit. In the example in Figure 8, management plans 2-4 are displayed, showing the degree of improvement in energy efficiency, revenue from electricity trading, and CO2 emissions compared to management plan 1 for each management plan. For example, management plan 2 shows a good improvement in energy efficiency, management plan 3 shows a good improvement in revenue from electricity trading, and management plan 4 shows a good improvement in CO2 emissions. If the user wants to check the details of these management plans, they can perform a predetermined operation (for example, by operating a button on the screen), and the details will be displayed on the display unit. The details include various information such as the operating plan for the power unit and the operating plan for the energy storage unit.
[0046] Furthermore, in the above process, the planning device 50 may simulate the case where the plant equipment is updated and / or additional equipment is added in the power unit model 92 or the energy storage unit model 94, and generate a power management plan for the case where the equipment is updated and / or additional equipment is added. For example, if the objective function value does not meet the criteria as a result of the above process, the planning device 50 may generate a power management plan for the case where the equipment is updated and / or additional equipment is added. For example, the planning device 50 may perform simulations when a generator is added in the power unit, when a generator is updated with new equipment, or when equipment such as a storage battery is added or updated. Then, if the simulation results are favorable (the objective function value meets the criteria), the planning device 50 provides the user with information indicating that it is favorable to update and / or add equipment. This allows the planning device 50 to generate and provide a more optimal power management plan. In this case, the planning device 50 may pre-register the costs associated with updating and expanding the equipment, and provide a management plan that includes these costs.
[0047] Furthermore, the planning device 50 may have the following functions: The planning device 50 may, for example, manage whether the electricity obtained from the grid is green electricity or gray electricity. For example, the planning device 50 manages the type of electricity using electronic information management technology such as blockchain technology.
[0048] Furthermore, the planning device 50 may utilize future parameters when deriving indicators using various plant models and matching platforms. For example, the planning device 50 may generate a power management plan using future electricity prices, weather, etc.
[0049] In the above objective function or constraint expression, CO2 emissions may be taken into account. For example, in the constraint expression, it may be specified that the CO2 emissions are below a threshold value. Also, in the objective function, the cost may tend to increase as the CO2 emissions increase, and the CO2 emissions may be set to have a greater influence degree (priority) than other elements. Further, in the above constraint expression, a constraint may be provided on the amount of gray power used, or the degree of utilization of gray power may be taken into account in the objective function, and the cost may be set to increase as the degree of utilization increases. If there is an economic cost (such as a so-called carbon tax) according to the CO2 emissions, this may be taken into account.
[0050] Also, when deriving the above power management plan, the planning device 50 may derive a plurality of power management plans. For example, the planning device 50 may derive a plan including a management plan in which the score of the total cost is "A" and the score of the CO2 emissions is "B (<A)", a management plan in which the score of the total cost is "B" and the score of the CO2 emissions is "A", etc., and present the plurality of derived management plans.
[0051] Also, the planning device 50 may generate a management plan taking into account the priority set by the user. For example, when it is set to prioritize the score of CO2 emissions, the planning device 50 may present a management plan to the user in which the score of the total cost is "B" but the score of the CO2 emissions is "A". Instead of the above, the priority for the total cost or other items (such as the amount of power sold) is set high, and the planning device 50 may generate a management plan according to the set priority.
[0052] (Other embodiments) The planned device 50 may include a model of a CCS / CCU section (CCS / CCU section Vp4). CCS / CCU equipment can reduce the carbon dioxide emissions of a plant by separating and recovering carbon dioxide generated at thermal power plants (coal, natural gas, biofuels, etc.), factories (fuel refining, chemical manufacturing, steelmaking, fertilizer manufacturing, etc.), and storing (CCS) or reusing (using as a raw material in chemical processes or refining fuel through so-called methanation) (CCU). In Figure 2, the CCS / CCU section Vp4 is shown as a CCU section that recovers carbon dioxide generated at the power section model Vp1 and supplies CO2 to the production section model Vp3. This is just one example; for example, if the CCS / CCU section Vp4 is a CCS facility, the recovered carbon dioxide is not supplied to the production section Vp3 but is stored underground. Furthermore, if the production unit Vp3 includes a process that emits carbon dioxide, the CCS / CCU unit Vp4 may be configured to separate and recover the carbon dioxide emitted by the production unit Vp3, or it may be configured to separate and recover carbon dioxide from both the power unit Vp1 and the production unit Vp3.
[0053] The planning device 50 creates a power management plan taking into account the CCS / CCU unit Vp4. Specifically, if the CCS / CCU unit Vp4 is a CCS facility, the planning device 50 can calculate the reduction in carbon dioxide emissions and energy costs from the plant by the CCS / CCU unit, using data such as the facility's processing capacity (e.g., the upper limit of the amount of gas to be processed per unit time), the operating energy required according to the amount of gas to be processed, and its cost. Furthermore, in the case of a CCU, the planning device 50 can calculate the revenue effect from the recovered carbon dioxide. Revenue effects here include, for example, the profit from selling carbon dioxide to an external party, the reduction in raw material procurement / generation costs for the production unit by supplying carbon dioxide as a raw material to the production unit (if the production unit model Vp3 includes a process that uses carbon dioxide as a raw material), and the reduction in fuel costs by recycling CO2 into fuel and feeding it into the power unit, or the revenue obtained from selling the fuel externally (if the CCU includes fuel refining equipment). Currently, CCS / CCU equipment is often intended to be attached to facilities that emit carbon dioxide, such as thermal power plants. Therefore, the power unit model Vp1 and the production unit model Vp3 may also include CCS / CCU equipment. A CCS / CCU unit model is a set of information that defines the relationship between the processing capacity of the equipment, the operating energy required depending on the amount of gas to be treated input, its cost (operating cost), the amount of carbon dioxide emissions reduced, and the profitability. It is also a model generated based on this information. For example, when the amount of gas to be treated input is entered, it outputs information corresponding to that amount of gas to be treated (CCS / CCU unit model). This corresponding information includes, for example, the required operating energy, profitability, operating cost, and the amount of carbon dioxide emissions reduced.For example, the planning device 50 estimates the operating costs and the reduction in carbon dioxide emissions based on the generated carbon dioxide and the above model, and uses the estimation results to generate a power management plan that includes operating parameters for the operation of the CCS / CCU unit, such that indicators based on operating costs (operating costs of one or more of the CCS / CCU unit, power unit, energy storage unit, and production unit) and power trading revenue (either or both of the revenue from power trading between the plant and the power grid and the revenue from the above-mentioned revenue effects) meet the criteria.
[0054] If the target facility 10 is equipped with CCS / CCU equipment, it is necessary to consider the hourly processing capacity and energy cost of the CCS / CCU equipment, as well as the amount of gas to be processed by the CCS / CCU equipment. In the case of a CCU that consumes the recovered carbon dioxide in the production unit Vp3, it is necessary to consider the carbon dioxide demand according to the operating plan of the production unit Vp3 (these are also considered in the CCS / CCU unit model, and the CCS / CCU unit model is generated accordingly). According to the planning device 50 described above, it is possible to create an optimal management plan that takes the CCS / CCU equipment into consideration.
[0055] In the example above, the explanation focused on a single plant, but the planning system 1 may generate management plans for multiple plants. In this case, the planning device 50 has a power unit model 92, an energy storage unit model 94, a production unit model 96, and a power trading unit model 98 for each of the multiple plants, and uses these to generate the management plan. For example, the planning device 50 generates a power management plan such that the sum (or average) of indicators based on the operating costs and power trading revenues of the multiple plants meets the criteria corresponding to the multiple plants. In this way, the planning device 50 can generate a power management plan for multiple plants as a single target.
[0056] Furthermore, while the above example cited a biomass power generation facility as an example of equipment constituting the power unit, it is also possible to simulate the biomass power generation facility in a manner similar to that of the energy storage unit. More specifically, for the biomass power generation facility, control can be considered in which surplus energy from the power unit or energy from the power grid during off-peak hours when electricity prices are low is used to produce biofuel, and then the fuel produced is used to generate electricity at a different time. The energy generated by the biomass power generation facility is green electricity and can be used in the production unit or supplied to the power grid.
[0057] According to the embodiments described above, the planning device 50 can support more appropriate energy management by estimating the operating costs of the power unit, energy storage unit, and production unit using each plant model, estimating electricity trading revenue using the electricity trading unit model, and creating a power management plan for the power unit, energy storage unit, and production unit so that the indicators based on the operating costs and the electricity trading revenue meet the criteria.
[0058] While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be carried out in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of Symbols]
[0059] 1...Planning system, 10...Target facility (target plant), 50...Planning device, 60...Parameter registration unit, 70...Generation unit, 80...Provision unit, 90...Storage unit, 92...Power unit model, 94...Energy storage unit model, 96...Production unit model, 98...Power trading unit model
Claims
1. A planning device for creating a power management plan for a plant, A power unit model corresponding to the power unit that produces energy in the aforementioned plant, A production unit model corresponding to a production unit that consumes the energy of the aforementioned plant to produce products, A power trading model that estimates the profit and loss from power trading between the plant and the power grid, Using each of the aforementioned plant models, the operating costs of the power unit and the production unit are estimated. Using the aforementioned electricity trading model, we estimate electricity trading revenue. A creation unit creates a power management plan for the power unit and the production unit such that the change in the value of the objective function, which has the aforementioned operating costs and the aforementioned electricity trading revenue as parameters, is sufficiently small. A planning device equipped with the following features.
2. The aforementioned plant further comprises an energy storage unit model corresponding to an energy storage unit that stores and releases energy, The creation unit estimates the operating costs of the power unit, the energy storage unit, and the production unit using each model of the plant. A power management plan for the power unit, the energy storage unit, and the production unit is created such that the change in the value of the objective function, which has the aforementioned operating costs and the aforementioned electricity trading revenue as parameters, is sufficiently small. The planning apparatus according to claim 1.
3. The power unit model, the energy storage unit model, and the production unit model have pre-set operating parameters corresponding to the power unit, energy storage unit, and production unit of the target plant. The creation unit generates a power management plan, including operating parameters for the operation of the power unit, the energy storage unit, and the production unit, such that the change in the value of the objective function is sufficiently small. The planning apparatus according to claim 2.
4. The creation unit solves an optimization problem using an objective function to create the power management plan. The planning apparatus according to claim 3.
5. The plant further includes a CCS / CCU unit model corresponding to a CCS / CCU unit that recovers and processes carbon dioxide generated in the aforementioned plant, The creation unit estimates the operating cost of the CCS / CCU unit and the amount of carbon dioxide emissions reduced. To generate a power management plan that includes operating parameters related to the operation of the CCS / CCU unit, such that the change in the value of the objective function is sufficiently small, A planning device according to any one of claims 1 to 4.
6. The aforementioned power trading unit model is This is a model for at least estimating the revenue from trading green electricity and trading in energy balancing. A planning device according to any one of claims 1 to 4.
7. The system comprises a power unit model, an energy storage unit model corresponding to the energy storage unit that stores and releases energy for the plant, a production unit model, and a power trading unit model, each prepared for multiple plants. The creation unit generates a power management plan using models prepared for each of the multiple plants, such that the change in the value of the objective function, which has the operating costs and power trading revenue of the multiple plants as parameters, is sufficiently small. A planning device according to any one of claims 1 to 4.
8. The aforementioned objective function is a function for reducing economic costs and / or CO2 emissions. A planning device according to any one of claims 1 to 4.
9. The creation unit simulates the case where the equipment is updated or expanded using the power unit model, and creates a power management plan for the case where the equipment is updated or expanded. A planning device according to any one of claims 1 to 4.
10. The system further includes a display unit that displays an image on the display unit that includes multiple power management plans and the effects of each management plan. A planning device according to any one of claims 1 to 4.
11. A planning method for creating a power management plan for a plant, A power unit model corresponding to the power unit that produces energy in the aforementioned plant, A production unit model corresponding to a production unit that consumes the energy of the aforementioned plant to produce products, Using a power trading model that estimates the profit and loss from power trading between the plant and the power grid, the operating costs of the power unit and the production unit are estimated. Using the aforementioned electricity trading model, we estimate electricity trading revenue. A power management plan for the power unit and the production unit is created such that the change in the value of the objective function, which has the aforementioned operating costs and the aforementioned electricity trading revenue as parameters, is sufficiently small. Planning method.
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