TWI755986B - Energy Utilization Support Device, Energy Utilization Support Method, and Steel Plant Operation Method - Google Patents

Abstract

Equipped with an optimization calculation part (4), and operation guide transmission parts (5), (6). Based on the information obtained from the actual performance value/predicted value acquisition unit (DB1), the unit price information acquisition unit (DB2), and the operation information acquisition unit (DB3), the optimization calculation unit sets the operating conditions of the energy equipment as the determining variables, and Constructing the income and expenditure conditions of the energy public flow, adding a variable for determining the shortage of the energy public flow to the production variable side of the income and expenditure conditions as a restrictive condition. Then, the optimization calculation section defines an objective function including the total cost and shortfall determination variables related to the energy use of the steel plant, and calculates the determination variables in a way that the optimal value asymptotically approximates the objective function so as to satisfy the constraints. In addition, the operation guidance communication section transmits the operation guidance to the user based on the insufficiency calculated by the optimization calculation section.

Description

Energy Utilization Support Device, Energy Utilization Support Method, and Steel Plant Operation Method

The present invention relates to an energy utilization support device, an energy utilization support method, and an energy utilization support method for supporting the use of an energy utility in a steelmaking plant by optimizing the cost of the energy utility. Operation method.

Steelmaking plants have many plants ranging from upstream processes (blast furnaces, coke ovens, and steelmaking processes) to downstream processes (rolling, surface treatment processes). In the upstream process, B gas (Blast Furnace (blast furnace) gas), C gas (Cokes (coke oven) gas), and LD gas (LD converter (LD converter) gas) are generated as by-product gases containing exothermic components. These gases are used as M gas (Mixed gas) by adjusting their heat directly or by mixing them, and they are used as fuels for heating furnaces and power generation facilities in rolling plants.

Here, in order to adjust the deviation between the amount of gas generated and the amount of gas used, a device such as a gas holder, which functions as a tank for storing gas, is used. For example, when the generation amount of the by-product gas becomes larger than the usage amount, the by-product gas is accumulated in the accumulator, whereby the accumulated amount (the accumulator level) increases. On the contrary, when the usage amount of the by-product gas becomes more than the generation amount, the gas is released from the gas accumulator to make the usage amount sufficient. When the generation amount of the by-product gas becomes too large relative to the usage amount and reaches the upper limit of the gas accumulator level, the remaining gas is burned and dissipated into the atmosphere. On the other hand, in the opposite case, there will be a shortage of gas, so the output of the power generation facility will be reduced to suppress the usage amount, and if this cannot be dealt with, the operation level of the factory will be lowered.

In addition to the use of by-product gas, there is, for example, the use of electricity or steam. In the use of electric power, in order to reduce the purchase amount of electric power from a time zone (generally, daytime) when the unit price of electric power is high, the output of the power generation facility is increased and used. In a time zone (generally, nighttime) when the unit price of electric power is low, the amount of power generation is reduced. The operation policy of such a power generation facility depends on the unit price. During the use of steam, it is generated by boilers utilizing the exhaust heat of converters, sintering furnaces, etc., and is used for heat preservation or RH (vacuum degassing equipment) of pickling tanks in cold rolling mills and the like. In addition, in the case of shortage, it will be extracted from the power generation equipment (the operation of obtaining steam from the middle stage of the turbine, the power generation will be reduced) and purchased from outside the steelmaking plant.

In this way, a number of technologies have been published so far (for example, Patent Documents 1 to 3), which are used in such a manner that the cost of the energy utility stream in a steel mill or a factory can be minimized. The technology of Patent Document 1 is a device for optimizing the operation of a plant, wherein the re-evaluation is performed based on a re-evaluation function obtained by adding an evaluation index that takes into account the inconsistency of state variables including the amount of operation of the plant. The best solution obtained by the optimization method. In this way, the influence of the inconsistency of state variables on the optimal solution is grasped, and the evaluation function value of the optimal solution is more stable. That is, it is designed to find a solution in which the variation of the evaluation function value is small.

In addition, the technology of Patent Document 2 proposes an optimal design method that can minimize operating costs, gas emissions, and the like. In this Patent Document 2, the optimum capacity of the equipment is determined when the load pattern of the plant (start/stop plan value of each equipment) is given. Moreover, the technique of patent document 3 proposes the method of making an operation plan even if the required reserve capacity of a power generation facility cannot be ensured. In this Patent Document 3, when the adjustment amount of the guaranteed power generation amount is smaller than the required adjustment amount, a penalty function for calculating a value corresponding to the insufficient amount for the required adjustment amount is added to the original objective function. An operation plan is generated in such a way that the value of the obtained expansion objective function is minimized.

The technique of Patent Document 1 obtains a solution that is stable in terms of the value of the cost function even when the operating conditions do not match. In addition, in the technique of Patent Document 2, when the operation plan of the plant is given, the optimal capacity of the equipment is determined so that the cost will be the smallest. The techniques of these Patent Documents 1 and 2 perform optimization calculations under a given operation plan or operation conditions, but when one of the operation conditions, that is, the budget condition indicating energy balance, is at any operation amount When all conditions are not satisfied, there is no optimal solution in terms of optimal calculation. Furthermore, in the technique of Patent Document 3, when the adjustment amount of the power generation amount is smaller than a predetermined value, it is assumed that an objective function is added as a penalty and an objective function is added, thereby avoiding a state where there is no optimal solution, However, if there is no such condition even for the adjustment amount of power generation, there will be no optimal solution. [Prior Art Literature] [Patent Literature]

Patent Document 1: Japanese Patent Laid-Open No. 2009-70200 Patent Document 2: Japanese Patent Laid-Open No. 2006-48475 Patent Document 3: Japanese Patent Application Laid-Open No. 2016-93016

[Problems to be Solved by Invention ]

During the operation of the steel plant, when the plant is stopped due to unexpected factors (failures) or the operation plan of the plant is not good, the amount of gas, electric power and steam generated is insufficient, so that the balance of energy is not established. , which cannot be solved by optimal calculation. In such a case, the user will change the operation plan of each factory to reduce the consumption, thereby establishing the income and expenditure formula. At this time, the operation plan should be changed according to the shortage, and if the operation plan to stop the plant excessively is drawn up, the cost of the steelmaking plant as a whole will increase due to the reduction in production volume. Therefore, it should stop at the minimum necessary operation plan.

However, the techniques of the above-mentioned Patent Documents 1 to 3 can operate effectively when operating without failure, but are not effective solutions under operating conditions such that there is no optimal solution. Even if the calculation of Patent Document 3 is performed to avoid a state where there is no optimal solution, the problem of not being able to provide an operation support measure such as changing the operation plan of each factory to the user remains to be solved.

The present invention is created in view of the unsolved problems of the above-mentioned conventional examples, and aims to provide an energy public stream (at least one of by-product gas, steam, and electricity) in a steelmaking plant that is insufficient, The energy utilization support device, the energy utilization support method, and the operation method of the steel plant can be presented to the operator of each plant with the minimum necessary changes in the operation plan of the energy equipment. [Technical means to solve problems]

In order to achieve the above-mentioned object, an energy utilization support device according to an aspect of the present invention includes an actual performance value/predicted value acquisition unit that acquires the generation of energy utility at the current time for each plant constituting a steelmaking plant The actual value of energy consumption and consumption, and the forecasted value of energy public flow generation and consumption from the current time to the specified time; The necessary unit price information; and the operation information acquisition department, which acquires the operation information of the energy equipment of the steelmaking plant; and the optimization calculation department, based on the data obtained from the actual performance value/forecast value acquisition department, the unit price information acquisition department, and the operation information acquisition department information, the operating conditions of energy equipment are set as the determining variables, and the revenue and expenditure conditions of the energy public flow are constructed, and the determination variables of the insufficient amount of the energy public flow are added to the production variable side of the income and expenditure conditions, and the constraints are set. Formulate an objective function that includes the variables that determine the total cost and shortage of energy use in the steelmaking plant, and calculate the variables in such a way that the objective function is asymptotically optimal, so as to satisfy the constraints; The operation guide is communicated to the user by eliminating the shortage calculated by the calculation department.

In addition, the energy utilization support method according to an aspect of the present invention includes an actual performance value/predicted value acquisition step for acquiring the current generation amount and consumption of energy utility for each plant constituting the steelmaking plant The actual value of the amount, and the predicted value of the generation and consumption of the energy utility stream from the current time to the specified time; the unit price information acquisition step obtains the unit price necessary for the calculation of the total cost related to the energy use of the steel plant information; and an operation information acquisition step, which acquires the operation information of the energy equipment of the steelmaking plant; and an optimization calculation unit, which, based on the information acquired from the actual performance value/forecast value acquisition step, the unit price information acquisition step, and the operation information acquisition step, calculates The operating conditions of the energy equipment are set as the determining variables, and the revenue and expenditure conditions of the energy public flow are constructed, and the shortage determination variable of the energy public flow is added to the production variable side of the income and expenditure conditions as a restriction condition to define a condition. The objective function including the determination variables of the total cost and insufficient quantity related to the energy use of the steelmaking plant, and the determination variables are calculated in a way that the objective function is asymptotically optimal so as to satisfy the constraints; and the procedure for communicating the guidelines based on the optimization calculation procedure Insufficient amount calculated in the calculation, and convey the operation guide to the user.

In addition, in the operation method of a steel plant according to an aspect of the present invention, based on the above-mentioned energy operation support method, the operation conditions of the energy equipment are changed, or the operation conditions of the manufacturing equipment in the steel plant are changed. [Effect of invention]

According to the energy utilization support device, the energy utilization support method, and the operation method of the steelmaking plant of the present invention, it is possible to present the operation plan of the energy equipment to the user of each plant in a situation where the public energy flow in the steelmaking plant is insufficient. The minimal changes necessary to draw.

Next, embodiments of the present invention will be described with reference to the drawings. In the description of the following drawings, the same or similar symbols are attached to the same or similar parts. In addition, the embodiment shown below exemplifies a device or method for embodying the technical idea of the present invention, and the technical idea of the present invention does not specify the material, shape, structure, arrangement, etc. of the constituent parts as the following. Various changes can be added to the technical idea of the present invention within the technical scope defined by the claims described in the scope of the patent application.

One embodiment of the present invention, namely, an energy utilization support device, is a device that supports the utilization of the energy utility stream in a steelmaking plant so as to optimize the cost of the energy utility stream. The energy utility stream includes at least one of by-product gas, steam, and electricity generated in the steelmaking plant. As shown in FIG. 1, the energy utilization support device 1 of the present embodiment is constituted by an information processing device such as a personal computer or a workstation, and includes an energy public flow actual/forecast database DB1, a unit price information database DB2, and The operation information database DB 3 , the optimization calculation unit 4 , the operation guide creation unit 5 , and the guidance unit 6 . The optimization calculation unit 4 and the operation guide generation unit 5 are realized by executing a computer program by an arithmetic processing device such as a CPU in the information processing device.

The energy utility stream actual/forecast database DB1 is constituted by a non-volatile memory device, and stores the amount of energy utility stream (by-product gas, steam, electricity) generated and The actual value of the consumption, and the predicted value of the generation and consumption of the energy utility flow from the current time to the specified time. In the case of the B gas generation amount, it is predicted using the current generation amount and blast furnace operation information. When the blast furnace is in operation, the predicted value is prepared assuming that the generation amount at the present time will continue into the future, but when the blast furnace is in a shutdown state, it is predicted so that the generation amount becomes 0. In the case of the C gas generation amount, it is predicted using the current generation amount and the coke charging amount per coke oven kiln. In the case of the LD gas generation amount, it is predicted using a blowing plan. The M gas consumption in the factory is predicted using the slab loading plan in the heating furnace or the M gas consumption at the current time.

Fig. 2 shows the data of the energy utility stream of Plant A, which constitutes the steelmaking plant, stored in the energy utility stream actual performance/forecast database DB1. The by-product gas of the material of this energy utility stream is B gas (Blast Furnace gas), C gas (Cokes gas), LD gas (LD converter gas), and these gases are directly or mixed for heat adjustment. M gas (Mixed gas). In addition, the electric power is the electric power generated from TRT (Top pressure Recovery Turbines; top pressure recovery turbine power generation equipment) and CDQ (Cokes Dry Quenching System; coke dry quenching system). In addition, the steam is the steam generated in accordance with the operation of the converter or the sintering furnace. In addition, the data of the energy utility flow of Plant A in FIG. 2 stores the actual generation performance value SJ and the actual consumption amount DJ at the current time, and the energy utility flow from the current time to a specified time (for example, 180 minutes later). The production forecast value SY and the consumption forecast value DY of the material.

In addition, the energy utility flow performance/prediction database DB1 stores the data of the energy utility bill of plant A shown in FIG. 2 and the current time of the energy utility bill of other plants (B plant, C plant...) The actual generation performance value SJ and the actual consumption performance value DJ of , and the estimated generation value SY and the predicted consumption value DY of the energy public flow from the current time to the specified time. The unit price information database DB2 stores information such as the unit price of electricity, the unit price of steam, the unit price of heavy oil, and the unit price of pure water for boiler supply. The operation information database DB3 stores, when the energy equipment (power generation equipment, TRT, CDQ, gas accumulator, mixed gas production equipment) is scheduled to stop due to factors such as periodic inspections or failures, the energy equipment The operation information such as the stop time, restart time, etc.

The optimization calculation unit 4 performs optimization calculation, and outputs, as a determination variable, the operation conditions of the energy equipment such that the total cost related to the energy operation of the steel plant is reduced to the minimum value or a value close to the minimum value. Specifically, the optimization calculation unit 4 is to input energy into a formula that has been formulated in advance as a mixed integer programming problem, which is a kind of mathematical calculation problem, as a constraint condition or total cost of energy utilization support. The information of the public material flow performance/forecast database DB1, the information of the unit price information database DB2, and the information of the operation information database DB3 are used to calculate the shortage determination variable and consumption variable described later, and the total cost to be optimized is calculated. F. In addition, for the solution of mixed integer programming problems, branch and bound methods, etc. can be used. For example, it is described in the prior art document, that is, "Predictive Control of Mixed Systems and Application to Its Process Control", Systems/Control/Information, Vol. 46, No. 3, pp. 110-119, 2002”.

The operation guideline creation unit 5 creates an operation guideline based on the predetermined shortage X of the energy public flow calculated by the optimization calculation unit 4 . Specifically, the operation guideline creation unit 5 stores the operation guideline for purchasing external energy, the operation guideline for purchasing external energy and reducing the usage of the predetermined energy equipment in a tabular form for the predetermined energy public flow, or Plural operation guide materials such as operation guide for reducing the usage of a prescribed energy facility (for example, refer to Fig. 9). Furthermore, the operation guideline creation unit 5 selects the operation guideline data corresponding to the shortage X of the energy utility flow calculated by the optimization calculation unit 4 . The guide unit 6 displays the operation guide data corresponding to the shortage X selected in the operation guide creation unit 5 on the guide screen. Then, the user changes the operation conditions of the energy equipment with reference to the operation guide data information output on the guidance screen.

Next, the optimization calculation process performed by the optimization calculation unit 4 will be described with reference to the flowchart of FIG. 3 . First, in step ST1, the actual generation performance value SJ and the consumption amount at the current time of all the energy common flows stored in the energy common flow performance/forecast database DB1 are read in the A factory, the B factory, the C factory... The actual performance value DJ, and the predicted value SY and the predicted value DY of consumption of the energy utility flow from the current time to the designated time. Next, in step ST2, the purchase unit prices of electric power, steam, pure water supplied to the factory boiler, etc., which are stored in the unit price information database DB2, are read. Next, in step ST3, the operation information of the energy equipment (power generation equipment, TRT, CDQ, gas accumulator, mixed gas production equipment) stored in the operation information database DB3 is read.

Next, in step ST4, in order to establish restrictive conditions, production variables Si (i=1, 2, . . . N) are set based on the information read in step ST1. Here, i=1, 2, . . . N is an indicia representing a factory or energy facility. In addition, in the case of a factory, it is an actual value or a predicted value, and in the case of an energy facility, it is a determining variable. Next, in step ST5, in order to establish a restriction condition, a consumption variable Di (i=1, 2, . . . M) is set based on the information read in step ST1. Here, i=1, 2, . . . M is also an indicia representing a factory or energy equipment. In addition, in the case of a factory, it is an actual value or a predicted value, and in the case of an energy facility, it is a determining variable.

Next, in step ST6, based on the information read in steps ST1, 2, and 3, a deficiency is added to the left side of the expression representing the balance condition of the energy public stream in which the production variable Si on the left and the consumption variable Di on the right are equal. The quantity determines the variable x (x≧0), thereby establishing the restriction shown by the following formula (1). This restriction condition is a condition that should be established at each time. X+S ₁ +S ₂ +...+S _N =D ₁ +D ₂ +...+D _M ...(1) Next, in step ST7, an objective function that should be the smallest value or a value close to the smallest value is set. This is obtained by adding the value of the weighting constant C multiplied by the variable X for determining the insufficiency to the total cost F obtained by using the unit price information or the usage amount. (objective function)=F+CX

Next, in step ST8, under the constraints of the formula (1), the total cost F and the deficiency determination variable X are calculated to make the objective function the minimum value or a value close to the minimum value. Here, it is assumed that the variable X for determining the shortage amount has a small value, and as long as a weighting constant C is set so that CX at this time is sufficiently larger than the total cost F, in the optimal calculation in the case where there is no shortage of gas, the amount of shortage is determined. The variable X will essentially become 0. On the other hand, when the gas is insufficient, the insufficient amount determination variable X can be set to a value larger than 0 for the insufficient amount. Next, in step ST9, the operating conditions of the energy equipment (power generation equipment, TRT, CDQ, gas accumulator, mixed gas production equipment) calculated in step ST8 are set, and the optimization calculation process is terminated.

Here, the actual performance value/predicted value acquisition unit and the actual value/predicted value acquisition steps described in the present invention correspond to the energy public flow data actual/forecast database DB1, and the unit price information acquisition unit and the unit price information acquisition steps described in the present invention Corresponding to the unit price information database DB2. In addition, the operation information acquisition unit and the operation information acquisition steps described in the present invention correspond to the operation information database DB3, and the operation guide transmission unit and the operation guide transmission steps described in the present invention, and the operation guide creation unit 5 and the guide unit 6 Corresponding.

Next, a situation when a failure occurs during the operation of the steel plant will be described with reference to FIGS. 4 to 8 . FIG. 4 shows a situation in which the coke oven in a steel plant fails and the amount of C gas produced is reduced in a planned way. From 30 minutes to 50 minutes, the amount of C gas produced decreases and the shortage increases. Fig. 5 is a schematic diagram showing the level change over time of the gas accumulator for storing B gas, C gas, converter gas A, and converter gas B when the coke oven fails. The user kept the gas level of the C gas reservoir high in advance in anticipation of a reduction in the C gas generation amount, and gradually used the C gas in the C gas reservoir 30 minutes after the start of operation.

Fig. 6 shows the time-dependent change in the power generation amount of the power generation facility when the coke oven fails, Fig. 7 shows the amount of by-product gas that is the fuel used when the coke oven fails, and Fig. 8 shows the occurrence of the coke oven failure. The externally purchased fuel at the time of failure is the amount of heavy oil. As can be seen from these FIGS. 6 to 8 , even if the amount of C gas generation is reduced, a sudden change in the amount of power generation is not desirable, so the output of the amount of power generation is gradually decreased, and the purchased amount of heavy oil is increased. Here, as shown in FIG. 4 , the average period of the C gas shortage from 30 minutes to 50 minutes after the start of operation was about 500 [GJ/h].

Next, the operation of the energy operation support device 1 when a failure of a coke oven in the above-mentioned situation occurs will be described. In the optimization calculation unit 4 of the energy utilization support device 1, the actual generation performance value SJ and the actual consumption performance value DJ at the current time of all the energy common flows of the A factory, the B factory, the C factory, etc. The generation amount SY and the consumption amount prediction value DY of the energy utility stream from the current time to the designated time (step ST1 in FIG. 3 ). Next, the purchase unit price of electric power, steam, pure water for boiler supply, etc. is read (step ST2 in FIG. 3 ), and the operation information of energy equipment (power generation equipment, TRT, CDQ, gas accumulator, mixed gas production equipment) is read (Step ST3 in FIG. 3 ). Then, the production variable Si (i=1, 2, ···N) is set (step ST4 in FIG. 3 ), the consumption variable Di (i=1, 2, ···M) is set (step ST5 in FIG. 3 ), and the usage shortage is determined The variable X establishes the restriction condition of the aforementioned formula (1) (step ST6 in FIG. 3 ).

Then, the objective function (the value obtained by multiplying the total cost F + the variable X for the determination of the shortage by the weight constant C) is set as the minimum or near-minimum value under the constraints of the formula (1). Then, the operating conditions of the obtained energy equipment (power generation equipment, TRT, CDQ, gas accumulator, mixed gas production equipment) are set (step ST9 in FIG. 3 ). In addition, the operation guideline generation unit 5 of the energy operation support device 1 selects the shortage X (500 [GJ/h]) calculated in the optimization calculation unit 4 to correspond to the plurality of operation guideline data shown in FIG. 9 . Operation guide for purchasing urban gas and reducing the consumption of hot blast stoves in "2".

Then, the guide unit 6 of the energy utilization support device 1 displays a guide screen of "purchasing city gas and reducing the usage of hot blast stove". In this way, the operators of each factory can quickly change the operating conditions of the energy equipment by referring to the operation guide "Urban gas purchase and reduction in the consumption of hot blast stoves" which is output on the guidance screen. In addition, although the situation in which the C gas is insufficient during the operation of the steelmaking plant has been described, the energy operation support device 1 performs operation support in the same manner even in the situation in which other by-product gas, steam, electricity, and other energy common streams are insufficient. .

Therefore, the energy utilization support device 1 of the present embodiment is based on the constraints of using the production variable Si, the consumption variable Di, and the shortage determination variable X, and calculates the shortage by optimization calculation, and sets the energy equipment (power generation equipment). , TRT, CDQ, gas receiver, mixed gas manufacturing equipment) operating conditions. Therefore, in a situation where the energy utility stream (at least one of by-product gas, steam, and electric power) in the steelmaking plant is insufficient, it is possible to present the necessary minimum requirements for the operation plan of the energy equipment to the operator of each plant. Changes. In addition, by changing the operating conditions of energy equipment or changing the operating conditions of manufacturing equipment in the steel plant based on the proposed changes to the operating conditions, it is possible to achieve the operation of the steel plant that realizes the optimal operation of the energy equipment. .

1: Energy use support device 4: Optimization calculation department 5: Operation Manual Creation Department 6: Guiding part C: weight constant F: The total cost that should be optimized X: Deficient quantity determining variable DB1: Database of actual/forecast energy public flows DB2:Unit Price Information Database DB3: Operational Information Database Si(i=1, 2,...N): production variable Di(i=1,2,...M): consumption variable

Fig. 1 is a schematic block diagram showing the structure of the energy utilization support device of the present invention. [ Fig. 2 ] The data of the energy utility stream of a predetermined factory is stored in the energy utility utility stream actual/forecast database of the energy utilization support device of the present invention. [ Fig. 3] Fig. 3 is a flowchart for explaining the optimization calculation process performed by the optimization calculation unit of the energy utilization support device of the present invention. [ Fig. 4] Fig. 4 is a graph showing the time-dependent changes in the amount of C gas generated and the amount of C gas shortage when a coke oven in a steel plant fails. [ Fig. 5] Fig. 5 is a schematic table showing the level change over time of the gas accumulators storing B gas, C gas, converter gas A, and converter gas B in a steelmaking plant. [ Fig. 6] Fig. 6 is a graph showing a time-dependent change in the power generation amount of the power generation facility when a coke oven in a steel plant fails. [ Fig. 7] Fig. 7 is a graph showing a time-dependent change in the amount of by-product gas when a coke oven in a steel plant fails. [ Fig. 8] Fig. 8 is a graph showing a time-dependent change in the amount of heavy oil, which is an externally purchased fuel, when a coke oven in a steel plant fails. [ Fig. 9 ] Operation guide data stored in the operation guide creation unit of the energy operation support device of the present invention.

1: Energy use support device

4: Optimization calculation department

5: Operation Manual Creation Department

6: Guiding part

DB1: Database of actual/forecast energy public flows

DB2:Unit Price Information Database

DB3: Operational Information Database

Claims (5)

An energy utilization support device, characterized by comprising: The actual value/forecast value acquisition unit acquires the actual value of the generation and consumption of the energy utility at the current time for each plant that constitutes the steelmaking plant, and the energy utility from the current time to the specified time. Predicted value of flow production and consumption; The unit price information acquisition department obtains the unit price information necessary for the calculation of the total cost related to the energy utilization of the aforementioned steelmaking plant; and The operation information acquisition department, which obtains the operation information of the energy equipment of the aforementioned steelmaking plant; and The optimization calculation unit constructs the energy public flow based on the information obtained from the actual performance value/forecast value acquisition unit, the unit price information acquisition unit, and the operation information acquisition unit, and the operating conditions of the energy equipment are determined as variables. The income and expenditure conditions of the material are determined by adding the aforementioned variable for determining the insufficient amount of energy public flow to the production variable side of the aforementioned income and expenditure conditions as constraints, so as to determine a total cost including the energy utilization of the steel plant and the The objective function of the aforementioned insufficient quantity determining variable is calculated in such a way that the aforementioned objective function asymptotically approaches the optimum value, so as to satisfy the aforementioned restriction condition; and The operation guideline communication unit transmits the operation guideline to the user based on the aforementioned shortage calculated by the aforementioned optimization calculation unit. The energy operation support device according to claim 1, wherein the operation guide transmission unit selects one operation guide from a plurality of operation guides according to the shortage and conveys it to the user. An energy utilization support method, characterized by comprising: The actual performance value/predicted value acquisition step is to acquire the actual value of the generation and consumption of the energy utility at the current time for each plant that constitutes the steel plant, and the energy utility from the current time to the specified time. Predicted value of flow production and consumption; The unit price information acquisition step is to obtain the unit price information necessary for the calculation of the total cost related to the energy utilization of the steelmaking plant; and The operation information acquisition step is to acquire the operation information of the energy equipment of the aforementioned steelmaking plant; and In the optimization calculation step, based on the information obtained from the actual performance value/predicted value acquisition step, the unit price information acquisition step, and the operation information acquisition step, the operating conditions of the energy equipment are set as determining variables, and the energy public flow is constructed. The income and expenditure conditions of the material are determined by adding the aforementioned variable for determining the insufficient amount of energy public flow to the production variable side of the aforementioned income and expenditure conditions as constraints, so as to determine a total cost including the energy utilization of the steel plant and the The objective function of the aforementioned insufficient quantity determining variable is calculated in such a way that the aforementioned objective function asymptotically approaches the optimum value, so as to satisfy the aforementioned restriction condition; and The operation guideline transmission step transmits the operation guideline to the user based on the aforementioned shortage calculated in the aforementioned optimization calculation step. The energy operation support method according to claim 3, wherein the operation guide transmission step selects one operation guide from a plurality of operation guides according to the shortage and conveys it to the user. A method of operating a steel plant, characterized in that, based on the energy operation support method as described in claim 3 or 4, the operating conditions of energy equipment are changed, or the operating conditions of manufacturing equipment in the steel plant are changed.

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