ENERGY MANAGEMENT SUPPORT SYSTEM, INFORMATION PROCESSING DEVICE, INFORMATION OUTPUT DEVICE, ENERGY MANAGEMENT DEVICE, ENERGY MANAGEMENT SUPPORT METHOD, AND ENERGY MANAGEMENT METHOD

Abstract

The energy operations support system includes an information acquisition unit, and the constraints for the optimization calculation include a constraint on the amount of power exchange using a power exchange direction determination parameter that indicates the direction in which electricity is transferred from one steelworks that constitutes the multiple steelworks to another steelworks, and that adjusts the upper limit of the amount of power exchange between each steelworks, and the objective function of the optimization calculation is the energy operations cost of the multiple steelworks, including the power exchange cost associated with the power exchange between each steelworks, and further includes an output unit that outputs information calculated by the optimization unit, an output information acquisition unit that acquires the operating conditions of the energy equipment of the multiple steelworks, and an information output unit that outputs the operating conditions of the energy equipment of the multiple steelworks.

Description

[Technical field]

[0001] The present invention relates to an energy management support system, an information processing device, an information output device, an energy management device, an energy management support method, and an energy management method. [Background technology]

[0002] Generally, a steelworks is made up of numerous factories and power generation facilities from the upstream process (blast furnace, coke oven, steel making process, etc.) to the downstream process (rolling process, surface treatment process, etc.), and operates using the following energy (gas, steam, electricity). In other words, by-product gases such as B gas (Blast Furnace gas) generated in the blast furnace, C gas (Coke Oven gas) generated in the coke oven, and LD gas (LD converter gas) generated in the converter are used in the factories and power generation facilities. In addition, M gas (Mixed gas), which is a mixture of these by-product gases and has an adjusted calorific value, is also used in the factories and power generation facilities.

[0003] Here, if the gas supply volume falls short of factory demand (for example, the demand for the heating furnaces of a rolling mill), city gas is used to make up for the shortage and satisfy the factory demand. Also, if the gas supply volume to the power generation facility falls short of the specified volume, heavy oil is used to make up for the shortage. These supplementary fuels incur costs according to the amount used. On the other hand, if the gas supply volume is in excess of factory demand, the gas is made harmless by combustion and then released into the atmosphere, but this should be minimized as it leads to energy loss and carbon dioxide emissions. In order to reduce costs and prevent release, it is necessary to utilize gas holders, which are storage facilities for by-product gases, and to appropriately adjust the gas distribution volume.

[0004] For example, in a gas holder, when the supply of by-product gas is greater than the demand, the gas holder takes priority over diffusion and stores the by-product gas, thereby increasing the storage amount (gas holder level) and suppressing diffusion. On the other hand, when the demand for by-product gas is greater than the supply, the gas holder releases the stored gas to meet the demand and reduce the use of supplemental fuel. When the demand for by-product gas is even greater than the supply, the output of the power generation equipment is reduced. If this is still not sufficient, the plant's operating level may be reduced.

[0005] Steam is supplied by exhaust heat recovery boilers from LD gas and sintering furnaces, CDQ (Coke Drying Quenching) boilers, and steam extraction from the middle stage of the turbine in the power generation facility (an operation to obtain steam from the middle stage of the turbine; power generation is reduced). Steam is also used in the factory (for insulation of the pickling tank in the cold rolling factory and for vacuum degassing facilities). Any shortage in steam demand is purchased from outside. The electricity demand of the factory is met by the amount of electricity generated by the CDQ, TRT (Top-pressure Recovery Turbine), and power generation facility, as well as electricity purchased from the power company.

[0006] The amount of electricity purchased must be managed so as not to exceed the hourly contracted amount (maximum amount of electricity purchased). In addition, the unit price of electricity purchased varies depending on the time of day, so when the unit price is high and there is a surplus of by-product gas supply, the operating conditions that minimize costs vary depending on the time of day and the supply and demand situation, such as setting the output of the power generation equipment high to reduce the amount of electricity purchased. Against this background, technology to optimize the energy operating costs of steelworks has been proposed.

[0007] For example, in Patent Document 1, the following method is used to determine optimal energy operation conditions for a steelworks. That is, in Patent Document 1, actual values ​​and predicted values ​​of energy utility generation and consumption for each plant constituting the steelworks are used. Using these, the total energy operation cost of the steelworks from the current time to a specified time is set as an evaluation function, and operation conditions of the energy equipment in the steelworks that reduce the value of the evaluation function are calculated. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Patent No. 7028272 Summary of the Invention [Problem to be solved by the invention]

[0009] However, the method proposed in Patent Document 1 has a problem in that it only calculates the operating conditions of the energy equipment by evaluating the energy operating costs of a single steelworks, and does not evaluate the energy operating costs of multiple steelworks. As a result, it is also unable to take into account the power interchange between steelworks, which means that it is unable to realize the optimization of operations taking into account the energy operating costs of multiple steelworks.

[0010] The present invention has been made in consideration of the above, and aims to provide an energy management support system, an information processing device, an information output device, an energy management device, an energy management support method, and an energy management method that can realize optimization of operations taking into account power interchange between steelworks. [Means for solving the problem]

[0011] In order to solve the above-mentioned problems and achieve the object, the energy operation support system of the present invention is an energy operation support system for a multiple steelworks consisting of two or more steelworks, comprising an information processing device and an information output device, and comprising an information acquisition unit that acquires information on energy utilities for each plant that constitutes the multiple steelworks and information on operation plans for energy facilities of the multiple steelworks, and the constraint conditions for the optimization calculation include a constraint on the amount of power interchange using a power interchange direction determination parameter that indicates a direction in which power is entrusted from one steelworks that constitutes the multiple steelworks to another steelworks and that adjusts an upper limit of the amount of power interchange between each steelworks. The optimization calculation includes an objective function which is the energy operation cost of the multiple steelworks, including the power interchange cost associated with the power interchange between each steelworks, and further includes an optimization unit which calculates the operation conditions of the energy equipment of the multiple steelworks, including the amount of power interchange between each steelworks, as decision variables of the optimization calculation; an output unit which outputs information calculated by the optimization unit, including the operation conditions of the energy equipment of the multiple steelworks; an output information acquisition unit which acquires the operation conditions of the energy equipment of the multiple steelworks, including at least the power interchange direction determination parameter and the amount of power interchange; and an information output unit which outputs the operation conditions of the energy equipment of the multiple steelworks.

[0012] In addition, in the energy operations support system of the present invention, in the above invention, the information acquisition unit acquires the wheeling cost by time period of the transmission lines used when transferring electricity as information regarding the operation plans of the energy equipment of the multiple steelworks, and the operating conditions of the energy equipment of the multiple steelworks, which are decision variables for the optimization calculation, include the power interchange direction determination parameters between each steelworks by time period, which are evaluated based on the power interchange cost by time period.

[0013] In addition, in the energy operations support system of the present invention, in the above invention, the information acquisition unit acquires planned values ​​of the power interchange direction determination parameters between each steelworks as information regarding operation plans for the energy equipment of the multiple steelworks.

[0014] In the energy management support system according to the present invention, in the above invention, the energy utilities include gas, steam, and electricity.

[0015] In addition, in the energy operation support system of the present invention, in the above invention, the energy equipment includes a mixed gas production equipment, a gas holder, a blast furnace top pressure power generation equipment, and a power generation equipment that uses by-product gas, heavy oil or extracted steam.

[0016] In the energy operation support system according to the present invention, in the above invention, the energy operation costs include costs associated with the use of heavy oil, city gas, and steam, and costs associated with purchasing electricity.

[0017] In order to solve the above-mentioned problems and achieve the object, an information processing device according to the present invention is an information processing device constituting an energy operation support system for a multiple steelworks composed of two or more steelworks, and includes an information acquisition unit that acquires information on energy utilities for each factory constituting the multiple steelworks and information on operation plans for energy facilities of the multiple steelworks, an optimization unit that calculates operation conditions of the energy facilities of the multiple steelworks as decision variables for optimization calculations, and an information processing device that outputs information calculated by the optimization unit, the information including the operation conditions of the energy facilities of the multiple steelworks. and an output unit that outputs a power exchange amount using a power exchange direction determination parameter that indicates the direction in which electricity is transferred from one steelworks constituting the multiple steelworks to another steelworks and that adjusts the upper limit of the power exchange amount between each steelworks, an objective function of the optimization calculation is the energy operation cost of the multiple steelworks including the power exchange cost associated with the power exchange between each steelworks, and the operation conditions of the energy equipment of the multiple steelworks, which are the decision variables of the optimization calculation, include the amount of power exchange between each steelworks.

[0018] In order to solve the above-mentioned problems and achieve the objective, the information output device of the present invention is an information output device that, together with an information processing device, constitutes an energy operation support system for a multiple steelworks consisting of two or more steelworks, and is equipped with an output information acquisition unit that acquires from the information processing device the operating conditions of the energy equipment of the multiple steelworks, which at least includes a power interchange direction determination parameter that indicates the direction in which electricity is entrusted from one steelworks constituting the multiple steelworks to another steelworks and for adjusting the upper limit of the power interchange amount between each steelworks, and the amount of power interchange between each steelworks, and an information output unit that outputs the operating conditions of the energy equipment of the multiple steelworks.

[0019] In order to solve the above-mentioned problems and achieve the objective, the energy management device of the present invention controls energy equipment of multiple steelworks in accordance with the operating conditions of the energy equipment of the multiple steelworks output from the above-mentioned energy management support system.

[0020] In order to solve the above-mentioned problems and achieve the object, an energy management support method according to the present invention is an energy management method executed by an energy management support system for a multiple steelworks consisting of two or more steelworks, comprising: an information acquisition step in which an information acquisition unit of the energy management support system acquires information on energy utilities for each factory constituting the multiple steelworks and information on an operation plan of energy equipment of the multiple steelworks; an optimization step in which an optimization unit of the energy management support system calculates operation conditions of energy equipment of the multiple steelworks as decision variables for optimization calculation; an output step in which an output unit of the energy management support system outputs information calculated by the optimization unit, the information including the operation conditions of the energy equipment of the multiple steelworks; an output information acquisition step by an output information acquisition unit of the energy management support system; and an information output step by an information output unit of an energy operation support system, wherein the constraint conditions of the optimization calculation include a constraint on the amount of power interchange using a power interchange direction determination parameter that represents a direction in which electricity is entrusted from one steelworks constituting the multiple steelworks to another steelworks and that is for adjusting an upper limit of the amount of power interchange between each steelworks, an objective function of the optimization calculation is the energy operation cost of the multiple steelworks including the power interchange cost associated with the power interchange between each steelworks, and the operation conditions of the energy equipment of the multiple steelworks, which are decision variables of the optimization calculation, include the amount of power interchange between each steelworks, the output information acquisition step acquires the operation conditions of the energy equipment of the multiple steelworks including at least the power interchange direction determination parameter and the amount of power interchange, and the information output step outputs the operation conditions of the energy equipment of the multiple steelworks.

[0021] In order to solve the above-mentioned problems and achieve the objective, the energy management method of the present invention controls energy equipment of multiple steelworks in accordance with the operating conditions of the energy equipment of the multiple steelworks output in the above-mentioned information output step. Effect of the Invention

[0022] In the energy operation support system, information processing device, information output device, energy operation device, energy operation support method, and energy operation method according to the present invention, the optimization calculation process determines the steelworks that will exchange power and the steelworks that will exchange power using a power interchange direction determination parameter, thereby optimizing the costs of multiple steelworks in consideration of power interchange between steelworks. In addition, by evaluating based on the wheeling cost by time period, the power interchange direction determination parameter between steelworks can be determined by time period. Furthermore, by evaluating based on the wheeling cost by time period, the operating conditions of the energy facilities, including the amount of power interchange, can be calculated based on the planned value of the power interchange direction determination parameter between steelworks. As a result, it is possible to realize optimization of the operation of the energy facilities of multiple steelworks in consideration of power interchange between steelworks. [Brief description of the drawings]

[0023] [Figure 1] FIG. 1 is a diagram showing a schematic configuration of an energy management support system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram showing a schematic configuration of an information processing apparatus according to an embodiment of the present invention. [Diagram 3] FIG. 3 is a diagram showing a schematic configuration of an information output device according to an embodiment of the present invention. [Figure 4] FIG. 4 is a flowchart showing the flow of the energy management support method executed by the energy management support system according to the embodiment of the present invention. [Diagram 5] FIG. 5 is a diagram for explaining the direction of power interchange between steelworks in the optimization calculation in the energy management support system according to the embodiment of the present invention. [Figure 6] FIG. 6 is an example of an energy operation support system according to an embodiment of the present invention, and is a graph showing the trends in the power interchange direction and amount of power interchange when the energy operation costs of the two steelworks are evaluated based on the wheeling unit price by time of day, the parameters for determining the power interchange direction between the steelworks are determined by time of day, and the amount of power interchange is calculated. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0024] An energy management support system, an information processing device, an information output device, an energy management device, an energy management support method, and an energy management method according to embodiments of the present invention will be described with reference to the drawings. Note that the components in the following embodiments include those that are easily replaceable by a person skilled in the art, or those that are substantially the same.

[0025] (Energy Operation Support System) An energy management support system according to an embodiment will be described with reference to Figs. 1 to 3. The energy management support system is a system used in a multiple steelworks consisting of, for example, two or more steelworks, and calculates optimal energy management conditions in the multiple steelworks. As shown in Fig. 1, the energy management support system 1 has an information processing device 10, an operation plan and performance database 20, and an information output device 30.

[0026] The information processing device 10, the operation plan and performance database 20, and the information output device 30 are configured to be capable of communicating with each other via a network N such as the Internet. In the energy management support system, the information output device 30 is disposed, for example, in a steelworks.

[0027] (Information processing device) The information processing device 10 is realized by, for example, a general-purpose computer such as a workstation or a personal computer, or a server located on a cloud. The information processing device 10 may be composed of multiple computers connected via a network. The information processing device 10 may also include information input means such as a keyboard, a mouse pointer, or a numeric keypad.

[0028] The information processing device 10 includes a processor (arithmetic processing device) including a CPU (Central Processing Unit) and a memory (main storage unit) including a RAM (Random Access Memory) and a ROM (Read Only Memory). The processor executes a computer program to control each component, thereby realizing a function that meets a predetermined purpose. Through the execution of the computer program, the information processing device 10 functions as an information acquisition unit 11, an optimization unit 12, and an output unit 13, as shown in FIG. 2.

[0029] The information processing device 10 may also include a storage unit that stores various processing results, etc. The storage unit is configured from a recording medium such as an EPROM (Erasable Programmable ROM), a hard disk drive (HDD), a solid state drive (SSD), and a removable medium. Examples of the removable medium include a disk recording medium such as a Universal Serial Bus (USB) memory, a Compact Disc (CD), a Digital Versatile Disc (DVD), and a Blu-ray (registered trademark) Disc (BD).

[0030] The information acquisition unit 11 acquires, from the operation plan and performance database 20, information on energy utilities for each plant constituting the multiple steelworks and information on operation plans for energy facilities of the multiple steelworks.

[0031] Here, "information on energy utilities" includes actual and predicted values ​​of the amount of energy utility generated, and actual and predicted values ​​of the amount of energy utility consumed. Furthermore, "energy utilities" include, for example, gas, steam, and electricity. Furthermore, "information on the operation plan of energy facilities" includes, for example, the setting values ​​of energy facilities, the contract values ​​of trading contracts (unit price setting values ​​required to calculate the costs involved in the energy operation of steelworks), the planned values ​​of the parameters for determining the direction of power interchange between the steelworks, and the like.

[0032] Furthermore, the "contract value of the trading contract" includes the wheeling cost by time period of the transmission line used when transferring electricity (see Table 2 below). Furthermore, "energy facilities" include, for example, mixed gas production facilities, gas holders, blast furnace top pressure power generation facilities, and power generation facilities that use by-product gas, heavy oil, or extracted steam. Furthermore, "trading contracts" include, for example, purchase contracts for the use of heavy oil, city gas, and steam, purchase contracts for purchasing electricity, and trading contracts for trading CO2 emissions.

[0033] The optimization unit 12 calculates the operating conditions of the energy facilities of the multiple steelworks as decision variables for the optimization calculation. The "operating conditions of the energy facilities of the multiple steelworks" include at least a power interchange direction determination parameter between each steelworks and the amount of power interchange between each steelworks. The "power interchange direction determination parameter" indicates the direction in which power is transferred from one steelworks constituting the multiple steelworks to another steelworks, and is a parameter for adjusting the upper limit of the amount of power interchange between each steelworks. The power interchange direction determination parameter can be calculated for each time period, for example, by evaluating the power interchange cost based on the time period-specific transfer price.

[0034] The optimization unit 12 performs optimization calculations to calculate, for example, the operating conditions of energy equipment within a predetermined time from the current time. The optimization unit 12 calculates the operating conditions of the energy equipment based on an evaluation of the energy operating cost of the steelworks. Furthermore, the optimization unit 12 calculates the operating conditions of the energy equipment in the steelworks such that the value of the evaluation function becomes small, for example, using the energy operating cost of the steelworks within a predetermined time from the current time as an evaluation function (also referred to as an objective function). Furthermore, the evaluation function (objective function) includes the power interchange cost associated with the power interchange between the steelworks. Furthermore, the constraint conditions of the optimization calculations performed by the optimization unit 12 include constraints on the amount of power interchange using a power interchange direction determination parameter (see Equations (18) to (21) described below).

[0035] In addition, the optimization unit 12 calculates the energy operation cost based on the evaluation of the energy operation cost (i.e., the energy operation cost is used as an evaluation function), as described later. Here, the "energy operation cost" includes, for example, the cost associated with the use of heavy oil, city gas, and steam, the cost associated with purchasing electricity, and the cost associated with the wheeling when accommodating electricity.

[0036] The output unit 13 transmits various information to other terminal devices or other information processing devices via the network N. Examples of the information transmitted by the output unit 13 include information calculated by the optimization unit 12, including the operating conditions of the energy facilities of multiple steelworks.

[0037] Further, the other information processing devices to which the output unit 13 transmits various information may include a control computer for each energy facility. This control computer may control each energy facility according to the transmitted operating conditions of the energy facility. Furthermore, the control computer may control each energy facility by accepting modifications by an operator. Here, the control of the energy facility may include, for example, increasing the output of the power generation facility to exchange power, or discharging the stored gas of the gas holder to increase the output of the power generation facility.

[0038] The output unit 13 may also display the various pieces of information through a display device (not shown, for example, a liquid crystal display (LCD), an organic light emitting display (OLED), a touch panel display, etc.) connected to the information processing device 10. The output unit 13 may also display a tuning screen, etc., for various calculations in the optimization unit 12. The output unit 13 may also be configured with a display device and display the various pieces of information, the tuning screen, etc.

[0039] (Operation plan and performance database) The operation plan and performance database 20 is stored in a storage device constituted by a recording medium such as an EPROM (Erasable Programmable ROM), a hard disk drive (HDD), or a removable medium.

[0040] The operation plan / performance database 20 stores information on the steelworks' operation plan (hereinafter referred to as "operation plan information") and information on the operation performance (hereinafter referred to as "operation performance information"). The operation plan information and operation performance information are accumulated, for example, by an operation planning device and an operation performance device (not shown), and then aggregated by an aggregation device (not shown) and stored in the operation plan / performance database 20. The operation plan / performance database 20 may also be configured by a database server provided on the network N.

[0041] (Information output device) The information output device 30 is for acquiring and outputting various information from the information processing device 10. The information output device 30 is realized by, for example, a personal computer connected to the information processing device 10 via a network N. The information output device 30 further includes an output information acquisition unit 31 and an information output unit 32, as shown in FIG.

[0042] The output information acquisition unit 31 acquires, for example, from the information processing device 10, the operation conditions of the energy facilities of the multiple steelworks calculated by the optimization unit 12 based on the evaluation of the energy operation costs of the steelworks. The operation conditions of the energy facilities of the multiple steelworks acquired by the output information acquisition unit 31 from the information processing device 10 include at least a power interchange direction determination parameter and a power interchange amount.

[0043] The information output unit 32 outputs energy operation information of the steelworks, including operation conditions of the energy facilities including at least the power interchange direction determination parameters and the power interchange amounts between the steelworks, and energy operation costs, to, for example, an information processing device (not shown) connected to the information output device 30. In addition, the information output unit 32 may display the above-mentioned energy operation information of the steelworks on a display device (not shown) connected to the information output device 30.

[0044] Furthermore, the information output device 30 may be configured with a display device and may display the energy operation information acquired from the information processing device 10 via the network N. The method of displaying the power interchange direction decision parameter and the power interchange amount is not particularly limited, and as in an embodiment described later (see FIG. 6), the direction in which power is interchanged between the steelworks and the power interchange amount may be displayed using a graph or colors, or may be displayed using characters, etc.

[0045] 1 to 3 are merely examples. The information processing device 10 and the information output device 30 may not include all of the components shown in FIGS. 2 and 3, respectively. Furthermore, the information processing device 10 and the information output device 30 may include components other than the components shown in FIGS. 2 and 3, respectively. Furthermore, the components included in the information processing device 10 and the information output device 30 are not limited to the examples in FIGS. 2 and 3, respectively.

[0046] For example, the optimization unit 12 and the information output unit 32 may be in the same device. Also, for example, some of the components of the information processing device 10 in Fig. 2 may be provided on the information output device 30 side. Also, for example, some of the components of the information output device 30 in Fig. 3 may be provided on the information processing device 10 side. Thus, an energy operation support system including the information processing device 10 and the information output device 30 may be configured to include, as a whole, an information acquisition unit 11, an optimization unit 12, an output unit 13, an output information acquisition unit 31, and an information output unit 32.

[0047] (Energy Management Device) The energy operation device according to the embodiment controls the energy equipment of the multiple steelworks according to the operation conditions of the energy equipment of the multiple steelworks output from the output unit 13 of the energy operation support system 1 or the information output device 30. The operation conditions of the energy equipment output from the information output device 30 include the operation conditions of the energy equipment including at least the power interchange direction determination parameters and the power interchange amount between each steelworks, and the energy operation cost. The energy operation device is realized, for example, by a control computer for each energy equipment. Examples of the control of the energy equipment include increasing the output of the power generation equipment to perform power interchange, and discharging stored gas from a gas holder to increase the output of the power generation equipment.

[0048] (Method of operating steel mills) In the method of operating a steelworks according to the embodiment, the steelworks are operated while changing the operating conditions such as power interchange between the steelworks based on the operating conditions of the energy facilities of the steelworks output from the information output device 30. The operating conditions of the energy facilities output from the information output device 30 include the operating conditions of the energy facilities including at least the power interchange direction determination parameters and the power interchange amount between the steelworks, and the energy operating costs. The operating conditions may be changed by a computer that manages the operation of the steelworks, or may be changed manually by an operator. Examples of the changing of the operating conditions include increasing the output of the power generation facility to perform power interchange, and discharging the stored gas from the gas holder to increase the output of the power generation facility.

[0049] (Energy operation method) In the energy operation method according to the embodiment, the energy equipment of the multiple steelworks is controlled according to the operation conditions of the energy equipment of the multiple steelworks output from the information output device 30. The operation conditions of the energy equipment of the multiple steelworks include the operation conditions of the energy equipment including at least the power interchange direction determination parameters and the power interchange amount between each steelworks, and the energy operation cost. Furthermore, the energy equipment may be controlled by a computer that controls the energy equipment of the steelworks, or may be controlled manually by an operator.

[0050] (Energy operation support method) An energy management support method executed by the energy management support system according to the embodiment will be described with reference to Fig. 4. As shown in Fig. 4, the energy management support method includes an information acquisition step (steps S1 to S4), a cost optimization step (step S5), and an output step (step S6).

[0051] 4 starts when an execution command for the optimization calculation process is input to the information processing device 10, and the optimization calculation process proceeds to step S1. Steps S1 to S4 for acquiring various information may be performed in an order different from that shown in FIG. 4, or may be performed at the same timing.

[0052] <Step S1> In the processing of step S1, the information acquisition unit 11 acquires data on the setting values ​​of the energy equipment in the steelworks (information on the operation plan of the energy equipment) as input data for the optimization calculation processing. Specifically, the information acquisition unit 11 acquires the following data, as shown in Table 1 below. In Table 1 below, "x" is the number of generators (identification number). Also, "m" is the name (identification symbol) of the steelworks (Steelworks A, Steelworks B). This completes the processing of step S1, and the optimization calculation processing proceeds to the processing of step S2.

[0053] Power generation upper limit (x=1U~NU) (m=A,B)UB POW X m Power generation lower limit (x=1U~NU) (m=A,B) LB POW X m Power generation change upper limit (x=1U~NU) (m=A,B)UB POWDIF X m Power generation change limit (x=1U~NU) (m=A,B) LB POWDIF X m B Gas Holder Upper Limit (Storage Capacity) (m=A,B)UB B LEVEL m B Gas Holder Lower Limit (Storage Volume) (m=A,B)LB B LEVEL m B Gas holder upper limit (intake amount / discharge amount) (m=A,B) UB B INOUT m B Gas holder lower limit (intake amount / discharge amount) (m=A,B) LB B INOUT m C Gas holder upper limit (storage capacity) (m=A,B) UB C LEVEL m C Gas holder lower limit (storage volume) (m=A,B) LB C LEVEL m C Gas holder upper limit (intake amount / discharge amount) (m=A,B) UB C INOUT m C Gas holder lower limit (intake amount / discharge amount) (m=A,B) LB C INOUT m LD gas holder upper limit (storage capacity) (m=A,B)UB LD LEVEL m LD gas holder lower limit (storage volume) (m=A,B)LBLD LEVEL m LD gas holder upper limit (amount of intake / discharge) (m=A,B) UB LD INOUT m LD gas holder lower limit (amount of intake / discharge) (m=A,B) LB LD INOUT m Power interchange upper limit (Steelworks A → Steelworks B) UB A→B ELE Interchange Power interchange upper limit (Steelworks B → Steelworks A) UB B→A ELE Interchange

[0054] [Table 1]

[0055] <Step S2> In the process of step S2, the information acquisition unit 11 acquires the unit prices of electricity, steam, heavy oil, city gas, and electricity interchange between steelworks as input data for the optimization calculation process, as contract values ​​of trading contracts (information on the operation plan of the energy facilities) required to calculate the cost of energy operation of the steelworks. Specifically, the information acquisition unit 11 acquires the following data as shown in Table 2 below. In Table 2 below, "k=0" indicates the present, and "k=1 to N" indicate the future. Also, "N" is the final period of the optimization calculation, and indicates two hours into the future when, for example, N=24 and one period=5 minutes. This completes the process of step S2, and the optimization calculation process proceeds to the process of step S3.

[0056] Power purchase price (m=A,B)P ELE m (k) Steam purchase cost (m=A,B)P ST m (k) Heavy oil purchase price (m=A,B)P OIL m (k) City gas purchase price (m=A,B)P TOG m (k) Wheeling cost (Steelworks A → Steelworks B) P A→B (k) Wheeling cost (Steelworks B → Steelworks A) P B→A (k)

[0057] [Table 2]

[0058] <Step S3> In the process of step S3, the information acquisition unit 11 acquires data on actual values ​​of energy utilities (information on energy utilities) of factories in the steelworks at the current time (k=0) as input data for the optimization calculation process. Specifically, the information acquisition unit 11 acquires the following data as data on actual values ​​of energy utilities at the current time (k=0), as shown in Table 3 (second column) below.

[0059] B Gas generation volume (total for blast furnaces) (m=A,B)S B m (0) C Gas generation volume (total of coke ovens) (m=A,B)S C m (0) LD gas generation volume (total converter) (m=A,B)S LD m (0) Steam generation (factory total) (m=A,B)S ST m (0) TRT power generation (all units) (m=A,B)S TRTELE m (0) B Gas consumption (factory total) (m=A,B) D B m (0) C Gas consumption (factory total) (m=A,B) D C m (0) LD gas consumption (factory total) (m=A,B) D LD m (0) M Gas consumption (factory total) (m=A,B) D M PLANT m (0) Steam consumption (factory total) (m=A,B) D ST m (0) Electricity consumption (factory total) (m=A,B)D ELE m (0)

[0060] [Table 3]

[0061] Furthermore, the information acquisition unit 11 acquires the following data as data on the actual values ​​of energy utilities at the current time (k=0), as shown in the following Table 4 (second column) and Table 5 (second column). This completes the process of step S3, and the optimization calculation process proceeds to the process of step S4.

[0062] B Gas usage (x=1U~NU) (m=A,B) D B X m (0) C Gas usage (x=1U~NU) (m=A,B) D C X m (0) LD gas consumption (x=1U~NU) (m=A,B) D LD X m (0) M gas usage (x=1U~NU) (m=A,B) D M X m (0) Heavy oil consumption (x=1U~NU)(m=A,B)D OIL X m (0) Bleed air amount (x=1U~NU)(m=A,B)S ST X m (0) B Gas Holder (storage capacity) (m=A,B)H B LEVEL m (0) B Gas holder (intake volume / discharge volume) (m=A,B)H B INOUT m (0) C Gas holder (storage capacity) (m=A,B) H C LEVEL m (0) C Gas holder (amount of intake / discharge) (m=A,B) H C INOUT m (0) LD gas holder (storage capacity) (m=A,B)H LD LEVEL m (0) LD gas holder (amount of intake / discharge) (m=A,B) H LD INOUT m (0) Electricity purchase amount (m=A,B)S ELE Purchase m (0) Steam purchase volume (m=A,B)S ST Purchase m (0) M gas (B gas) for power generation facilities (m=A, B)D B POW m (0) M gas (C gas) for power generation facilities (m=A, B) D C POW m (0) M gas (LD gas) for power generation facilities (m=A, B) D LD POW m (0) M gas (city gas) for power generation facilities (m=A, B) D TOG POW m (0) Factory gas M (B gas) (m=A, B) D B Mill m (0) Factory gas M (C gas) (m=A,B) D C Mill m (0) Factory M gas (LD gas) (m=A,B) D LD Mill m (0) Factory gas M (city gas) (m=A,B) D TOG Mill m (0) Steel mill m cost (m=A,B) total_cost m (0) Power interchange cost Interchange_cost(0) Electricity interchange volume (Steelworks A → Steelworks B) S A→B ELE Interchange (0) Electricity interchange volume (Steelworks B → Steelworks A) S A→B ELE Interchange (0) Power exchange direction determination parameter Z(0)

[0063] [Table 4] [Table 5]

[0064] <Step S4> In the process of step S4, the information acquisition unit 11 acquires data on predicted values ​​(information on energy utilities) of energy utilities of factories in the steelworks in the future (k=1 to N) as input data for the optimization calculation process. Specifically, the information acquisition unit 11 acquires the following data as data on predicted values ​​of energy utilities in the future (k=1 to N), as shown in Table 3 (third column) above. This completes the process of step S4, and the optimization calculation process proceeds to the process of step S5.

[0065] B Gas generation volume (total for blast furnaces) (m=A,B)S B m (k) C Gas generation volume (total of coke ovens) (m=A,B)S C m (k) LD gas generation volume (total converter) (m=A,B)S LD m (k) Steam generation (factory total) (m=A,B)S ST m (k) TRT power generation (all units) (m=A,B)S TRTELE m (k) B Gas consumption (factory total) (m=A,B) D B m (k) C Gas consumption (factory total) (m=A,B) D C m (k) LD gas consumption (factory total) (m=A,B) D LD m (k) M Gas consumption (factory total) (m=A,B) D M PLANT m (k) Steam consumption (factory total) (m=A,B) D ST m (k) Electricity consumption (factory total) (m=A,B)D ELE m (k)

[0066] <Step S5> In the processing of step S5, the optimization unit 12 uses the data acquired in the processing of steps S1 to S4 to perform an optimization calculation to determine the operating conditions of energy equipment, including the amount of power interchange between steelworks, that minimizes the energy operating costs associated with the energy operations of the steelworks within a specified future period (k = 1 to N).

[0067] The decision variables (variables to be searched to minimize the cost) in the optimization calculation in step S5 are as follows, as shown in Table 4 (third column) and Table 5 (third column) above.

[0068] B Gas usage (x=1U~NU) (m=A,B) D B X m (k) C Gas usage (x=1U~NU) (m=A,B) D C X m (k) LD gas consumption (x=1U~NU) (m=A,B) D LD X m (k) M gas usage (x=1U~NU) (m=A,B) D M X m (k) Heavy oil consumption (x=1U~NU)(m=A,B)D OIL X m (k) Bleed air amount (x=1U~NU)(m=A,B)S ST X m (k) B Gas Holder (storage capacity) (m=A,B)H B LEVEL m (k) B Gas holder (intake volume / discharge volume) (m=A,B)H B INOUT m (k) C Gas holder (storage capacity) (m=A,B) H C LEVEL m (k) C Gas holder (amount of intake / discharge) (m=A,B) H C INOUT m (k) LD gas holder (storage capacity) (m=A,B)H LD LEVEL m (k) LD gas holder (amount of intake / discharge) (m=A,B) H LD INOUT m (k) Electricity purchase amount (m=A,B)S ELE Purchase m (k) Steam purchase volume (m=A,B)S ST Purchase m (k) M gas for power generation facilities (B gas (m=A, B)) D B POW m (k) M gas (C gas) for power generation facilities (m=A, B) D C POW m (k) M gas (LD gas) for power generation facilities (m=A, B) D LD POW m (k) M gas (city gas) for power generation facilities (m=A, B) D TOG POW m (k) Factory gas M (B gas) (m=A, B) D B Mill m (k) Factory gas M (C gas) (m=A,B) D C Mill m (k) Factory M gas (LD gas) (m=A,B) D LD Mill m (k) Factory gas M (city gas) (m=A,B) D TOG Mill m (k) Steel mill m cost (m=A,B) total_cost m (k) Power interchange cost Interchange_cost(k) Electricity interchange volume (Steelworks A → Steelworks B) S A→B ELE Interchange (k) Electricity interchange volume (Steelworks B → Steelworks A) S A→B ELE Interchange (k) Power exchange direction determination parameter Z(k)

[0069] In step S5, constraint conditions are set in the optimization calculation as shown in the following formulas (1) to (16). Note that "T" in the following formulas (6) and (12) is a time conversion value of one period. For example, if one period is 5 minutes, then T=5 / 60(h).

[0070] The following formula (1) shows the B gas balance, the following formula (2) shows the C gas balance, the following formula (3) shows the LD gas balance, the following formula (4) shows the M gas balance of the plant, and the following formula (5) shows the M gas balance of the power generation facility. The following formula (6) shows the balance between the storage amount and the intake amount / discharge amount of each gas holder of B gas, C gas, and LD gas, the following formula (7) shows the power generation model, the following formula (8) shows the power balance of steelworks A, the following formula (9) shows the power balance of steelworks B, and the following formula (10) shows the steam balance. The following formula (11) shows the relationship between the lower limit of power generation, the power generation model, and the upper limit of power generation, and the following formula (12) shows the relationship between the lower limit of power generation change, the power generation model, and the upper limit of power generation change. Moreover, the following formula (13) shows the range (lower limit, upper limit) of the storage amount of each gas holder for B gas, C gas, and LD gas, the following formula (14) shows the range (lower limit, upper limit) of the intake amount and discharge amount of each gas holder, the following formula (15) shows the energy operation cost (steelworks m cost) other than the power interchange cost of steelworks m, and the following formula (16) shows the power interchange cost.

[0071]

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[0072] The energy operation cost to be minimized in step S5 is the sum of the steelworks m cost (m=A, B) and the power interchange cost, and this is used to calculate the total cost for a specified future period (from one cycle ahead to N cycles ahead) as shown in the following formula (17). The steelworks m cost is the sum of the supplementary fuels of steelworks m, heavy oil (OIL), city gas (TOG), steam (ST), and purchased electricity (ELE), shown in the above formula (15), and the respective purchase prices are as shown in Table 2 above. The power interchange cost is the sum of the amount of power interchanged between steelworks, and the respective wheeling prices are as shown in Table 2 above.

[0073]

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[0074] In step S5, during optimization calculation, a constraint condition is set that can adjust the upper limit of the amount of power interchange between each steelworks using a power interchange direction determination parameter Z(k)∈{0,1} between the steelworks, as shown in the following formulas (18) to (21). Note that "M" in the following formulas (18) and (19) is a large value, for example, M=10 5 Moreover, the power interchange direction determination parameter Z(k) determines the power interchange direction between steelworks A and B according to the following formulas (18) and (19), as shown in Table 6 and Fig. 5 below. "k" in Table 6 and Fig. 5 below is the number of steps, and the direction of power interchange is determined depending on whether Z(k) is 0 or 1. For example, when Z(k)=1, the upper limit of the amount of power interchange from steelworks A to B is 10 5 The upper limit of the amount of power interchange from steelworks B to A is set to 0, and the direction of power interchange is determined as (steelworks A to B: possible, B to A: not possible). Note that power interchange is only possible in one direction.

[0075]

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[0076] [Table 6]

[0077] Furthermore, in step S5, when a planned value (set value) of the power interchange direction determining parameter Z(k) between steelworks is given in advance, constraint conditions related to the power interchange direction determining parameter Z(k) as shown in the following formulas (22) and (23) are set during optimization calculation. On the other hand, when a planned value of the power interchange direction determining parameter Z(k) between steelworks is not given in advance or for a time period in which power interchange is not set, the power interchange direction determining parameter Z(k) is calculated by optimization calculation. This completes the processing of step S5, and the optimization calculation processing proceeds to processing of step S6.

[0078]

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[0079] In step S6, the processing of step S6 is completed by outputting the operational conditions of the energy facilities of multiple steelworks, including at least the power interchange direction decision parameter Z(k) for a predetermined future period (k=1 to N) obtained by the optimization calculation and the amount of power interchange.

[0080] In the energy operation support system, information processing device, information output device, energy operation support method, and steelworks operation method according to the above-described embodiments, the optimization calculation process determines the steelworks that will exchange power and the steelworks that will exchange power using the power exchange direction determination parameter, thereby optimizing the cost of the multiple steelworks in consideration of power exchange between the steelworks. In addition, by evaluating based on the wheeling cost by time period, the power exchange direction determination parameter between the steelworks can be determined by time period. Furthermore, by evaluating based on the wheeling cost by time period, the operation conditions of the energy equipment, including the amount of power exchange, can be calculated based on the planned value of the power exchange direction determination parameter between the steelworks. As a result, it is possible to realize optimization of the operation of each energy equipment of the multiple steelworks in consideration of power exchange between the steelworks. Furthermore, even if the amount of power purchased from the power company is limited during a period of increased power demand, power can be met by power exchange between the steelworks, so that the frequency of lowering the operation level of the factory at each steelworks due to power shortages can be reduced. It is also possible to reduce the frequency of shutdowns of steelworks production lines and prevent adverse effects on the quality of steel products caused by the shutdown of continuous process lines that require temperature control (for example, continuous annealing equipment).

[0081] (Example) An embodiment of the energy management support method according to the present invention will be described with reference to Fig. 5. In this embodiment, one period is set to 5 minutes, optimization calculations are performed up to 24 periods ahead, and the calculation results are output by an information output device.

[0082] FIG. 6 shows the trends in the power interchange direction (A→B when Z(k)=1, B→A when Z(k)=0) and the amount of power interchange (A→B) between two steelworks (steelworks A and B). In this example, the energy operating costs of the two steelworks were evaluated based on the wheeling cost by time period, and the parameters for determining the power interchange direction between the steelworks were determined by time period, and the amount of power interchange was calculated. As shown in FIG. 6, the period from 1 to 11 cycles ahead is daytime (high unit price time period), and the period from 12 to 24 cycles ahead is nighttime (low unit price time period). Since the wheeling cost is about 20% cheaper at night than during the day, it can be seen that the amount of power interchange (A→B) is greater at night than during the day.

[0083] In this way, the energy operation support method according to the present invention can provide guidance on the direction and amount of power interchange based on the wheeling cost by time period, thereby promoting energy operation that minimizes costs at multiple steelworks while utilizing power interchange.

[0084] The energy management support system, information processing device, information output device, energy management device, energy management support method, and energy management method according to the present invention have been specifically described above using the form and examples for carrying out the invention, but the gist of the present invention is not limited to these descriptions and must be broadly interpreted based on the claims. Furthermore, it goes without saying that various changes, modifications, etc. based on these descriptions are also included in the gist of the present invention. [Explanation of symbols]

[0085] 1. Energy operation support system 10. Information processing device 11 Information acquisition department 12 Optimization Section 13 Output section 20 Operation plan and performance database 30 Information output device 31 Output information acquisition unit 32 Information output section N Network

Claims

1. An energy operation support system for multiple steelworks comprising two or more steelworks, comprising an information processing device and an information output device, The system includes an information acquisition unit that acquires information regarding energy utilities for each factory constituting the multiple steelworks and information regarding the operation plan of the energy facilities of the multiple steelworks. The constraints for the optimization calculation include a constraint on the amount of power exchanged, which represents the direction in which power is transmitted and shared from one steelworks to another steelworks that make up the multiple steelworks, and uses a power exchange direction determination parameter to adjust the upper limit of the amount of power exchanged between each steelworks. The objective function of the optimization calculation is the energy operating cost of the multiple steelworks, including the power exchange cost associated with the exchange of power between each steelworks. The optimization unit calculates the operating conditions of the energy facilities of the multiple steelworks, including the amount of power exchanged between each steelworks, as the decision variables for the optimization calculation, An output unit that outputs information calculated by the optimization unit, including the operating conditions of the energy equipment of the multiple steel mills, An output information acquisition unit that acquires the operating conditions of the energy equipment of the multiple steelworks, including at least the power exchange direction determination parameter and the power exchange amount, An information output unit that outputs the operating conditions of the energy equipment of the aforementioned multiple steelworks, An energy operation support system further equipped with the following features.

2. The information acquisition unit acquires, as information relating to the operation plan of the energy facilities of the multiple steelworks, the transmission unit price for each time of day used when exchanging electricity for power. The energy operation support system according to claim 1, wherein the operating conditions of the energy facilities of the multiple steelworks, which are the decision variables for the optimization calculation, include a power exchange direction determination parameter between each steelworks for each time period, which is obtained by evaluating the power exchange cost based on the transmission unit price for each time period.

3. The energy operation support system according to claim 1, wherein the information acquisition unit acquires planned values ​​of the power exchange direction determination parameters between each steelworks as information relating to the operation plan of the energy facilities of the multiple steelworks.

4. The energy operation support system according to claim 1, wherein the energy utilities include gas, steam, and electricity.

5. The energy operation support system according to claim 1, wherein the energy equipment includes a mixed gas production facility, a gas holder, a blast furnace top pressure power generation facility, and a power generation facility that uses by-product gas, heavy oil, or extracted gas.

6. The energy operation support system according to claim 1, wherein the energy operation costs include the costs associated with the use of heavy oil, city gas and steam, and the costs associated with purchasing electricity.

7. An information processing device that constitutes an energy operation support system for multiple steelworks consisting of two or more steelworks, An information acquisition unit that acquires information regarding energy utilities for each factory constituting the multiple steelworks and information regarding the operation plan of the energy facilities of the multiple steelworks, The optimization unit calculates the operating conditions of the energy equipment of the multiple steelworks as decision variables for the optimization calculation, An output unit that outputs information calculated by the optimization unit, including the operating conditions of the energy equipment of the multiple steel mills, Equipped with, The constraints for the optimization calculation include a constraint on the amount of power exchanged, which represents the direction in which power is transmitted and shared from one steelworks to another steelworks that make up the multiple steelworks, and uses a power exchange direction determination parameter to adjust the upper limit of the amount of power exchanged between each steelworks. The objective function of the optimization calculation is the energy operating cost of the multiple steelworks, including the power exchange cost associated with the exchange of power between each steelworks. An information processing device in which the operating conditions of the energy facilities of the multiple steelworks, which are the decision variables for the optimization calculation, include the amount of power exchanged between each steelworks.

8. An information output device that, together with an information processing device, constitutes an energy operation support system for multiple steelworks consisting of two or more steelworks, The information processing device includes an output information acquisition unit that acquires the operating conditions of the energy equipment of the multiple steelworks, which includes at least a power exchange direction determination parameter for determining the direction in which power is transferred and exchanged from one steelworks to another steelworks constituting the multiple steelworks, and for adjusting the upper limit of the amount of power exchanged between each steelworks, and the amount of power exchanged between each steelworks. An information output unit that outputs the operating conditions of the energy equipment of the aforementioned multiple steelworks, An information output device equipped with the following features.

9. An energy operation device that controls the energy equipment of multiple steelworks according to the operating conditions of the energy equipment of multiple steelworks output from the energy operation support system described in claim 1.

10. An energy operation method implemented by an energy operation support system for multiple steelworks consisting of two or more steelworks, The information acquisition unit of the energy operation support system includes an information acquisition step in which it acquires information regarding energy services for each factory constituting the multiple steelworks and information regarding the operation plan of the energy facilities of the multiple steelworks, The optimization unit of the energy operation support system performs an optimization step of calculating the operating conditions of the energy equipment of the multiple steelworks as decision variables for the optimization calculation, The output unit of the energy operation support system outputs information calculated by the optimization unit, including the operating conditions of the energy equipment of the multiple steelworks, in an output step, The output information acquisition step by the output information acquisition unit of the energy operation support system, The information output step by the information output unit of the energy operation support system, Includes, The constraints for the optimization calculation include a constraint on the amount of power exchanged, which represents the direction in which power is transmitted and shared from one steelworks to another steelworks that make up the multiple steelworks, and uses a power exchange direction determination parameter to adjust the upper limit of the amount of power exchanged between each steelworks. The objective function of the optimization calculation is the energy operating cost of the multiple steelworks, including the power exchange cost associated with the exchange of power between each steelworks. The decision variables for the optimization calculation, which are the operating conditions of the energy facilities of the multiple steelworks, include the amount of power exchanged between each steelworks. The output information acquisition step acquires the operating conditions of the energy equipment of the multiple steelworks, which include at least the power exchange direction determination parameter and the power exchange amount. The information output step outputs the operating conditions of the energy equipment of the multiple steel mills. Energy management support methods.

11. An energy operation method for controlling the energy equipment of multiple steelworks according to the operating conditions of the energy equipment of multiple steelworks output in the information output step of the energy operation support method according to claim 10.

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