WO2022239050A1

WO2022239050A1 - Control apparatus, ozone generation system, ozone storage apparatus, ozone generation apparatus, water treatment system, ozone injection control method, and computer program

Info

Publication number: WO2022239050A1
Application number: PCT/JP2021/017636
Authority: WO
Inventors: 昇和田; 智昭竹田; 芳明有馬
Original assignee: 三菱電機株式会社
Priority date: 2021-05-10
Filing date: 2021-05-10
Publication date: 2022-11-17
Also published as: TW202243730A; CN117295683A; JP7128974B1; JPWO2022239050A1

Abstract

A control apparatus (2) controls an ozone generation unit (3) capable of storing generated ozone and injecting the ozone into a water treatment process (6). The control apparatus (2) controls the ozone generation unit (3) to generate the ozone at a first time period, which is at least a part of time periods where an electric power unit price is a first value, such that an ozone generation amount per unit time becomes a first amount, controls the ozone generation section (3) to inject a second amount of ozone smaller than the first amount per unit time in the water treatment process (6) at the first time period and to store ozone not injected into an injection target among the generated ozone, and controls the ozone generation section (3) to release the stored ozone at a second time period, which is at least a part of the time periods where the electric power unit price is a second value equal to or larger than the first value, and to inject the stored ozone in the water treatment process (6).

Description

Control device, ozone generation system, ozone storage device, ozone generator, water treatment system, ozone injection control method and computer program

The present disclosure relates to a control device, an ozone generation system, an ozone storage device, an ozone generation device, a water treatment system, an ozone injection control method, and a computer program.

Disinfection and cleaning using ozone have been widely used in recent years. A typical ozone generator generates ozone when it needs to be supplied. Patent Literature 1 discloses a technique for reducing operating costs by operating and storing ozone generators at night when electricity rates are low and using the stored ozone during the day.

JP-A-11-292512

　Depending on the system to which ozone is applied, it may not be used only during times when electricity rates are high, such as during the daytime. For example, in water and sewage treatment, it is necessary to supply ozone day and night. is not limited to daytime. However, in the technique described in Patent Document 1, only storage is performed at night, only ozone is used during the day, and the ozone generator is stopped when ozone is used. For this reason, application of the technique described in Patent Document 1 is limited to a system with a specific usage pattern in which ozone is used only during times when electricity rates are high. That is, the technique described in Patent Document 1 cannot be applied to, for example, a usage pattern in which ozone is used regardless of whether it is day or night, and the operation cost cannot be reduced.

The present disclosure has been made in view of the above, and aims to obtain a control device capable of reducing operating costs.

In order to solve the above-described problems and achieve the object, a control device according to the present disclosure is a control device that controls an ozone generation unit that can store generated ozone and injects ozone into an ozone injection target. Then, the ozone generation unit is caused to generate ozone so that the amount of ozone generated per unit time is the first amount in a first time period that is at least part of the time period in which the unit price of electricity is the first value. and causing the ozone generator to inject a second amount of ozone, which is less than the first amount per unit time, into the injection target in a first time period, and to store ozone that is not injected into the injection target among the generated ozone. , in a second time period that is at least a part of the time period in which the unit price of electricity is a second value equal to or greater than the first value, the ozone generator is caused to release the stored ozone and inject it into the injection target. Let

The control device according to the present disclosure has the effect of reducing operating costs.

1 is a diagram showing a configuration example of a water treatment system including an ozone generation system according to Embodiment 1. FIG. 4 is a diagram showing a configuration example of a control unit according to Embodiment 1; FIG. 1 is a diagram showing an example of a computer system that implements the control device of Embodiment 1; FIG. 4 is a flow chart showing an example of a processing procedure in the control unit according to the first embodiment; A diagram showing an example of an ozone supply amount according to the first embodiment. Diagram showing an example of operation cost reduction effect of Embodiment 1 3 is a flowchart showing an example of a processing procedure in a control unit according to a modification of the first embodiment; A diagram showing an example of an ozone supply amount according to a modification of the first embodiment A diagram showing an example of an operation cost reduction effect in the modified example of the first embodiment FIG. 10 is a diagram showing a configuration example of a water treatment system provided with an ozone generation system according to a second embodiment; A diagram showing a configuration example of a water treatment system provided with an ozone generation system according to a third embodiment. FIG. 11 is a diagram showing a configuration example of a control unit according to Embodiment 3; Flowchart showing an example of a plan creation procedure when operating costs are formulated in the third embodiment A diagram showing a configuration example of an injection amount prediction unit according to Embodiment 3 when prediction is performed by machine learning Flowchart showing an example of the operation of the model generation unit of the third embodiment Flowchart showing an example of the operation of the prediction unit of Embodiment 3 Schematic diagram showing an example of a neural network The figure which shows the structural example of the ozone generation system concerning Embodiment 4. The figure which shows the structural example of the ozone generation system concerning Embodiment 5.

The control device, ozone generation system, ozone storage device, ozone generation device, water treatment system, ozone injection control method, and computer program according to the embodiments will be described below in detail with reference to the drawings.

Embodiment 1.
FIG. 1 is a diagram showing a configuration example of a water treatment system provided with an ozone generation system according to Embodiment 1. FIG. As shown in FIG. 1, the water treatment system of the present embodiment includes an ozone generation system 1, a water treatment process 6 for treating water using ozone supplied from the ozone generation system 1, and and an exhaust ozone processing unit 7 that performs processing for reducing the concentration of discharged exhaust ozone to a permissible value or less.

The water treatment system of the present embodiment is basically operated 24 hours a day, and the ozone generation system 1 supplies a substantially constant amount of ozone to the water treatment process 6 day and night.

In processes that require high reliability, sustainability, and continuity, such as water and sewage treatment, the required specifications for the ozone generation system 1 are determined in consideration of the margin of performance to ensure reliable treatment. For this reason, the design value of the amount of generated ozone often has a margin with respect to the actually injected amount of ozone, that is, the amount of ozone used. For example, there are cases where an appropriate amount of injection is determined after the start of operation of the water treatment system, resulting in a margin, and there are cases where a margin is provided for redundancy. In addition, with the promotion of energy saving in recent years, there are cases where the amount of ozone injected is kept as low as possible. Due to these factors, the difference between the design value of the amount of ozone generated and the amount of injected ozone, that is, surplus capacity occurs.

On the other hand, ozone generators are usually designed so that operation at the design value is the most efficient, so if ozone is generated with an injection amount less than the design value, power loss will occur and efficiency will decrease. If ozone is generated at a design value in order to operate with high efficiency, ozone that is not used will be wasted.

In this embodiment, in a system that operates 24 hours a day, operating costs are reduced by effectively utilizing the surplus capacity described above. Here, an example of application to a system that uses a constant amount of ozone 24 hours a day will be described. It can be applied to any type of usage.

As shown in FIG. 1, the ozone generation system 1 includes a control device 2, an ozone generation section 3 and an ozone injection section 5. The ozone generator 3 is capable of generating ozone and storing ozone, and injects at least one of the generated ozone and the stored ozone into the ozone injection unit 5 based on instructions from the control device 2. do. The control device 2 controls the amount of ozone generated in the ozone generator 3, the amount of ozone stored, the amount of stored ozone taken out, and the like. The ozone injection unit 5 injects the ozone supplied from the ozone generation unit 3 into the water treatment process 6 so that the ozone injection amount injected into the water treatment process 6 maintains a target value. The water treatment process 6 is an example of an ozone injection target of the ozone generator 3 , and the injection target is not limited to the water treatment process 6 .

The ozone generation unit 3 includes a source gas supply unit 31, an ozone generator 32, an ozone storage unit 33, and

switching valves

34,35. The raw material gas supply unit 31 supplies the raw material gas, which is gas containing oxygen, to the ozone generator 32 . The ozone generator 32 uses the raw material gas supplied from the raw material gas supply unit 31 to generate ozone. The ozone storage unit 33 stores ozone generated by the ozone generator 32 . The ozone storage unit 33 also takes out the stored ozone and supplies it to the ozone injection unit 5 .

In the ozone generating system 1 of the present embodiment, the ozone generated in the ozone generator 32 is transported through the ozone transport path 36 connected to the ozone injection unit 5 via the switching valve 34, the switching valve 35 and the ozone storage unit 33. It is possible to transport by two routes, namely, the ozone transport route 37 connected to the ozone injection unit 5 via the ozone transport route 37 . Which of these two transportation routes ozone is transported is controlled by opening and closing

switching valves

34 and 35 . For example, if the switching valve 34 is closed and the switching valve 35 is opened, the ozone generated in the ozone generator 32 is stored in the ozone storage section 33 via the ozone transport path 37 . When the switching valve 35 is closed and the switching valve 34 is opened, the ozone generated in the ozone generator 32 is supplied to the ozone injection section 5 via the ozone transport path 36 . Further, when both the

switching valves

34 and 35 are opened, the ozone generated in the ozone generator 32 is transported through both the ozone transport path 36 and the ozone transport path 37, whereby the ozone is supplied to the ozone injection section 5. and stored in the ozone storage unit 33 . When ozone is transported through these two transportation routes, the remainder of the ozone generated by the ozone generator 32 that has been injected into the water treatment process 6 by the ozone injection unit 5 is transported through the ozone transportation route 37 and stored in ozone. Stored in section 33 . Control of opening and closing of the

switching valves

34 and 35 may be performed directly by the control device 2 or may be performed by a control section (not shown) in the ozone generating section 3 based on instructions from the control device 2 .

Although any method may be used for storing ozone in the ozone storage unit 33, the ozone storage unit 33 includes an adsorption cylinder filled with an adsorbent such as silica gel. By controlling the pressure, the difference in adsorption and desorption properties of ozone and oxygen on the adsorbent is used to separate ozone and oxygen from a gas mixture containing ozone and oxygen. The ozone storage unit 33 selectively adsorbs and stores ozone with an adsorbent maintained at a low temperature, while supplying the separated oxygen to the ozone generator 32 via an oxygen recycling path 38 . The oxygen thus separated is reused as a raw material gas. As a result, a significant reduction in raw material gas costs is realized.

Since ozone has a short life, it is difficult to store it. It becomes possible. That is, the ozone generated in the ozone storage unit 33 can be temporarily stored, taken out from the ozone storage unit 33 in an arbitrary amount at an arbitrary timing, and supplied to the ozone injection unit 5 via the ozone transport path 37 .

The control device 2 includes a data input/output unit 21 and a control unit 22 . The data input/output unit 21 receives input from the user and presents various information to the user. The data input/output unit 21 displays, for example, the amount of reduction in operating costs, the amount of ozone generated, the operating state of the ozone generation unit 3, and the like. The control unit 22 uses the design value of the ozone generation amount in the ozone generation unit 3 and the necessary ozone injection amount to create a plan for generating, storing, and taking out the stored ozone so as to suppress the operation cost. Then, based on the created plan, the amount of ozone generated in the ozone generator 3, the amount of stored ozone, the amount of stored ozone taken out, and the like are controlled.

FIG. 2 is a diagram showing a configuration example of the control unit 22 of this embodiment. The control unit 22 includes a plan creating unit 221, an electricity unit price storage unit 222, an injection amount information storage unit 223, a plan storage unit 224, and an instruction unit 225, as shown in FIG.

The power unit price storage unit 222 stores the power unit price, which is the unit price of electricity, for each time period. The injection amount information storage unit 223 stores the target value of the ozone injection amount to be injected into the water treatment process 6, and also stores the design value of the ozone injection amount, that is, the maximum amount of ozone generated by the ozone generator 32 of the ozone generation unit 3. Remember. The unit price of electricity for each time period, the design value of the ozone injection amount, and the target value of the ozone injection amount may be input by the user via the data input/output unit 21, or received by the control device 2 from another device (not shown). You may Also, these values can be changed via the data input/output unit 21 .

The plan creation unit 221 stores the power unit price for each time period stored in the power unit price storage unit 222, the design value of the ozone injection amount and the target value of the ozone injection amount stored in the injection amount information storage unit 223. It is used to plan ozone generation, storage, and removal of stored ozone in a manner that controls operating costs. The plan creating unit 221 also generates information indicating the power reduction effect based on the created plan, and outputs the created information, the created plan, and the like to the data input/output unit 21 . In the following, plans for generating, storing, and removing stored ozone are simply referred to as plans or ozone production plans. The plan creation unit 221 stores the created plan in the plan storage unit 224 . The instructing unit 225 instructs the ozone generating unit 3 on the amount of ozone generated, the amount of stored ozone, the amount of stored ozone to be taken out, and the like in the ozone generating unit 3 according to the plan stored in the plan storage unit 224 .

Here, the hardware configuration of the control device 2 of this embodiment will be described. The control device 2 is implemented by a computer system. FIG. 3 is a diagram showing an example of a computer system that implements the control device 2 of this embodiment. The computer system shown in FIG. 3 includes a processor 101 , memory 102 , communication circuit 103 , display section 104 and input section 105 .

The processor 101, which is an arithmetic device, is, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, a microcontroller, or a DSP (Digital Signal Processor). The memory 102, which is a storage unit, includes, for example, RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (registered trademark) (Electrically Erasable Programmable Read Only Memory). Such as semiconductor memory, magnetic disk, flexible disk, and the like. The communication circuit 103 is a transceiver capable of communication.

The display unit 104 is a display, monitor, etc., and the input unit 105 is a button, switch, keyboard, mouse, etc. A touch panel in which the display unit 104 and the input unit 105 are integrated may be used.

The control device 2 is implemented by executing a program that describes the processing to be executed by the control device 2. Specifically, a program is installed in memory 102 . Then, when the program is executed, the program read from the memory 102 is stored in the primary storage area of the memory 102 . In this state, processor 101 executes processing as control device 2 of the present embodiment according to the program stored in memory 102 . Note that the program may be provided by a recording medium, or may be provided by a transmission medium via the communication circuit 103 .

The control unit 22 shown in FIG. 1 is implemented by the processor 101 executing a program stored in the memory 102 shown in FIG. A memory 102 is also used to implement the controller 22 . Data input/output unit 21 shown in FIG. 1 is implemented by display unit 104 and input unit 105 shown in FIG.

Next, the operation of this embodiment will be described. As described above, the design value of the ozone injection amount is larger than the ozone injection amount actually injected into the water treatment process 6 . Therefore, assuming that the design value of the ozone injection amount is X mg/L and the target value of the ozone injection amount injected into the water treatment process 6 is Y mg/L, X is larger than Y. Note that X and Y are real numbers. In the present embodiment, the ozone injection amount is assumed to be constant at all times. remembered.

In the present embodiment, the surplus capacity, which is the difference between X and Y, is used to reduce operating costs. FIG. 4 is a flow chart showing an example of a processing procedure in the control unit 22 of this embodiment. The control unit 22 determines whether or not the electricity unit price varies depending on the time period (step S1). Specifically, the plan creation unit 221 reads out the power unit price for each time slot from the power unit price storage unit 222 and determines whether the read power unit price varies depending on the time slot.

If the electricity unit price differs depending on the time period (step S1 Yes), the control unit 22 stores ozone to be used during the time period when the electricity unit price is the highest, by generating ozone at the maximum capacity in other time periods. Create an ozone generation plan (step S2). Although there are no particular restrictions on the period for which the ozone generation plan is to be created, one day is set as the period for which the plan is to be created. Since the unit price of electricity is often set for each time period of a day, the period for which the plan is created is set to one day here, but plans are created in units of one week, one year, etc. good too.

Specifically, in step S2, the plan creation unit 221 uses the unit price of electricity read out in step S1 to obtain the time slot with the highest unit price of electricity, and stores the target value of the injection amount in the obtained time slot in the injection amount information storage unit. 223 to calculate the amount of ozone required for injection during the time period when the unit price of electricity is the highest as the required storage amount. Then, the plan creating unit 221 creates a plan to generate and store the calculated amount of required storage by generating ozone at the design value X mg/L of the injection amount in a time slot other than the time slot with the highest unit price of electricity. For example, the plan creating unit 221 creates a plan to generate and store the calculated required storage amount by generating ozone at a design value of X mg/L of injection amount in a time period when the unit price of electricity is low. At this time, if it is necessary to inject ozone even during times when the unit price of electricity is low, the plan creation unit 221 generates the target value Y mg/L of the amount of ozone to be injected during the time period and also generates ozone for storage. Create an ozone generation plan as follows. That is, the excess capacity is utilized to store ozone. When the amount of ozone that can be stored in the time period when the unit price of electricity is low is less than the required storage amount, the plan creation unit 221 further sets the design value X mg of the ozone injection amount in the time period when the unit price of electricity is the second lowest. Create a plan to generate and store at /L. By repeating this, the plan creating unit 221 can create an ozone generation plan for storing ozone used in the time zone with the highest electricity unit price in other time zones. As a result, operating costs can be reduced compared to the case where the target value of the ozone injection amount is generated without storing.

After step S2, the control unit 22 stores the plan, that is, the ozone generation plan (step S4), and ends the process. Specifically, in step S<b>4 , the plan creation unit 221 stores the ozone generation plan in the plan storage unit 224 .

If the unit price of electricity does not differ depending on the time period (step S1 No), the control unit 22 determines the time period in which ozone is to be generated at maximum capacity, and creates an ozone generation plan based on the determined time period (step S3). , the process proceeds to step S4.

In step S3, the plan creation unit 221 determines the time period for generating ozone at the maximum capacity, that is, at the design injection amount X mg/L. If No in step S1, the unit price of electricity is constant irrespective of the time period, so the time period for generating ozone at the design injection amount of X mg/L can be set arbitrarily. In addition, the plan creation unit 221 creates an ozone generation plan so that ozone stored by generating ozone at a design value of injection amount X mg/L is used in an arbitrary time zone other than the relevant time zone. As described above, the ozone generator 32 is designed to be most efficient when generating ozone at its maximum capacity. By providing a time period during which ozone is generated at , the efficiency is higher in this time period than in other time periods. Therefore, the power required to generate a certain amount of ozone can be reduced, and the operating cost can be reduced. For example, in general, if the efficiency for generating ozone at a design injection amount of X mg/L is 90%, the efficiency for generating the actually required injection amount of ozone is about 70 to 80%. often become. Therefore, by generating ozone at the design injection amount of X mg/L, power loss can be reduced, and operating costs can be reduced.

Here, in the case of No in step S1, the processing of step S3 is performed in consideration of efficiency, but the processing of step S3 is not performed, and the required amount of ozone is generated without storing. An ozone generation plan may be developed.

The instruction unit 225 controls the ozone generation unit 3 according to the created plan. This makes it possible to utilize excess capacity and reduce operating costs. As an example, when X = 2.5 and Y = 0.5, that is, the design value of the ozone injection amount is 2.5 mg/L, and the target ozone injection amount after operation is a constant injection amount of 0.5 mg/L. A case of injecting ozone into the water treatment process 6 which is always operated 24 hours a day will be described. Also, the amount of treated water in the water treatment process 6 is assumed to be 150,000 tons/day. Electricity charges are divided into three time periods: peak hours (8 hours), normal hours (8 hours), and night hours (8 hours). It is assumed that the normal time zone is high and the night time zone is the lowest.

In this case, during the nighttime hours when the unit price of electricity is the lowest, the ozone generator 32 is operated to generate the ozone supply amount of 25 kg required for these eight hours, and the peak hour is the time when the unit price of electricity is the highest. Store 25 kg of the amount used in The excess capacity of the ozone generation system 1 is 2.0 mg/L, which is 2.5 mg/L minus 0.5 mg/L. Since it is possible, it is sufficient to cover the amount of 25 kg used during peak hours. For example, the ozone generator 32 may be operated at the designed ozone injection amount of 2.5 mg/L for about two hours during the night time period. However, not limited to this, create a plan for a longer period of time, such as operating for 8 hours at the design value of 2.5 mg/L of ozone injection and storing the required amount for 4 days of peak hours. You may The ozone separated during storage is reused by supplying it to the ozone generator 32 via the oxygen reuse path 38 .

During the normal time period, the ozone generator 32 is operated to generate the required ozone supply amount of 25 kg during this time period. That is, ozone is generated at a target ozone injection amount of 0.5 mg/L.

As described above, the control device 2 of the present embodiment creates a plan as described above and instructs the ozone generator 3 so that the unit price of electricity is at least part of the time period of the first value. Ozone is generated by the ozone generator 3 in a certain first time zone so that the amount of ozone generated per unit time becomes the first amount. The time zone in which the power unit price is the first value is, for example, the above-described night time zone. Then, the control device 2 causes the ozone generator 3 to inject a second amount of ozone, which is less than the first amount per unit time, into the injection target in the first time period, and, of the generated ozone, the injection target store ozone that is not injected into the Further, the control device 2 causes the ozone generator 3 to supply the stored ozone to the ozone generator 3 during a second time period that is at least part of the time period in which the unit price of electricity is a second value equal to or greater than the first value. Let it be released and injected into the injection target. The time period when the power unit price is the second value is, for example, the above-described peak time period. For example, the first amount is the amount corresponding to the aforementioned capacity of X mg/L, and the second amount is the amount corresponding to the aforementioned capacity of Y mg/L. That is, the first amount is, for example, the maximum amount that can be generated in the ozone generator 3 per unit time. In the above example, during the entire peak time period, the ozone generator 3 was caused to release the stored ozone and inject the second amount per unit time into the injection target. Stored and released ozone may be used for some time periods instead of time periods. Further, in the above example, ozone is generated at the maximum capacity during the night time zone, but this is not limited to this. reduction effect is obtained.

Further, the program for controlling the control device 2 of the present embodiment, for example, is capable of storing the generated ozone, and the computer system that controls the ozone generation unit 3 that injects ozone into an ozone injection target is supplied with electric power. a step of causing the ozone generator 3 to generate ozone so that the amount of ozone generated per unit time is the first amount in a first time period that is at least part of the time period in which the unit price is the first value; to run. Further, the program causes the computer system to inject a second amount of ozone, which is less than the first amount per unit time, into the injection target in the first time zone, and the amount of generated ozone. a step of storing ozone that is not injected into the injection target; and causing the stored ozone to be released and injected into the injection subject.

FIG. 5 is a diagram showing an example of the ozone supply amount according to this embodiment. In FIG. 5, as exemplified above, the power unit price differs in three time zones, peak time zone, normal time zone, and night time zone, and the ozone generation system 1 supplies a constant amount of ozone to the water treatment process 6 for 24 hours. It shows the amount of ozone supplied when injecting. As shown in FIG. 5, during peak hours, the ozonator 32, which is the main source of power consumption, is not operated. Then, the ozone storage unit 33 releases the ozone stored during the nighttime and supplies the ozone to the ozone injection unit 5 . The comparative example shown in FIG. 5 is an example in which a constant amount of ozone is generated for 24 hours without storing ozone.

FIG. 6 is a diagram showing an example of the operating cost reduction effect of this embodiment. The comparative example shown in FIG. 6 is an example in which a constant amount of ozone is generated for 24 hours without storing ozone, like the comparative example in FIG. As shown in FIG. 6, in the comparative example, since the amount of ozone generated is constant regardless of the time of day, the operating cost for each time zone differs according to the level of the electricity unit price. be the highest. On the other hand, in the present embodiment, ozone is not generated during the peak hours, so there is no operating cost for generating ozone during the peak hours, and ozone is generated during the hours when the unit price of electricity is low. are causing it. As a result, as shown on the right end, in this embodiment, the operating cost per day can be reduced compared to the comparative example. In addition, in the first embodiment, not only the difference in the unit price of electric power, but also the effect of reducing the raw material cost by reusing the oxygen generated during storage can be obtained.

In addition, the data input/output unit 21 can present the reduction amount of the operating cost to the user by displaying the effect of reducing the operating cost as shown in FIG. The data input/output unit 21 may display the amount of generated ozone in chronological order, or may display the operating state of the ozone generator 32 in chronological order. The amount of ozone generated and the operating state may be planned values, or data may be acquired from the ozone generator 32 and actual values may be displayed. In this manner, the data input/output unit 21 displays, for example, a screen showing the amount of reduction in electricity usage charges compared to when ozone is not stored, and the amount of generated ozone and the amount of stored ozone for each time period. At least one of the screen and the operational status of the ozone generator 32 is displayed.

<Modification>
In the example described above, the ozone used during the peak hours was stored during the night hours. 32 may be limited to nighttime hours.

FIG. 7 is a flow chart showing an example of a processing procedure in the control unit 22 according to the modified example of the present embodiment. Steps S1, S3 and S4 shown in FIG. 7 are the same as the example shown in FIG. In the case of Yes in step S1, the control unit 22 selects the time slot with the highest electricity unit price among the unselected time slots (step S5). Specifically, the plan creating unit 221 selects the time slot with the highest electricity unit price from among the unselected time slots, using the electricity unit price read in step S1.

Next, the control unit 22 determines whether or not there is a time slot in which additional ozone can be generated among the time slots in which the power unit price is lower than the power unit price of the selected time slot (step S6). Specifically, the plan creation unit 221 uses the power unit price read out in step S1 and the temporarily held plan to generate ozone during the time slot when the power unit price is lower than the power unit price of the selected time slot. Determine whether or not there is a time slot that can be additionally generated. The plan that is temporarily held is a plan that was created in step S7 to be described later and has not been finalized.

If there is no time slot in which additional ozone can be generated among the time slots in which the power unit price is lower than the power unit price in the selected time slot (step S6 No), the control unit 22 advances the process to step S4.

If there is a time slot in which the unit price of electricity is lower than the unit price of electricity in the selected time slot, and there is a time slot in which additional ozone can be generated (Yes in step S6), the control unit 22 maximizes the ozone used in the selected time slot. A plan is created to generate ozone in the time slot with the lowest electricity unit price, excluding the time slots already planned to generate ozone at capacity (step S7).

Specifically, in step S7, the plan creating unit 221 refers to the temporarily held plan, and extracts the time zone excluding the time zone already planned to generate ozone at the maximum capacity. , create a plan for generating ozone to be used in the time period selected in step S5 in the extracted time period. In step S7 for the first time, there is no temporarily held plan, and in step S5, the time zone with the highest electricity unit price is selected, so the process of step S2 in FIG. For example, a plan is created to calculate the required storage amount during the time period when the unit price of electricity is the highest, and to generate and store the required storage amount during the time period when the unit price of electricity is the lowest. The plan creating unit 221 temporarily holds the created plan. In step S7 of the second time, since the time slot for storing the required storage amount in the time slot with the highest unit price of electricity has already been determined, the maximum capacity is already set to cover the required storage amount in the time slot with the highest unit price of electricity. There is a time zone when it is decided to operate in Therefore, the control unit 22 generates ozone to be used in the selected time slot during the time slot with the lowest electricity unit price, excluding the time slot already planned to generate ozone at the maximum capacity. Create a plan to do so and keep the plan you create. The same processing is performed in step S7 for the third time or more.

After step S7, the plan creation unit 221 of the control unit 22 determines whether or not to end the plan creation (step S8), and if it ends the plan creation (step S8 Yes), the process proceeds to step S4. In step S8, for example, when step S7 is executed a predetermined number of times, it is determined that the plan creation is finished. The determined number of times is, for example, the number of power unit price categories minus one. For example, when the power unit price is determined for the three segments of the peak time period, the normal time period, and the night time period, the determined number of times is two.

If the planning is not to be completed (step S8 No), the control unit 22 repeats the process from step S5. By performing such a process, it is possible to create a plan to use stored ozone not only in the time zone with the highest unit price of electricity, but also in other time zones with the lowest unit price of electricity.

For example, the design value of the ozone injection amount described above is 2.5 mg/L, and ozone is added to the water treatment process 6 that is constantly operated for 24 hours after operation at a constant injection amount of the target ozone injection amount of 0.5 mg/L. In an example in which water is injected and the amount of treated water in the water treatment process 6 is set at 150,000 tons/day, the required storage amount for peak hours can be stored during night hours. Furthermore, the required storage amount during normal hours is 25 kg, and this amount can also be stored during night hours. Therefore, in this case, the ozone generation system 1 injects ozone into the water treatment process 6 at a target ozone injection amount of 0.5 mg/L during the nighttime, while the design value of the ozone injection amount is 2. 50 kg of ozone is stored by generating ozone at .5 mg/L. Then, the ozone generation system 1 releases the stored ozone and injects the ozone into the water treatment process 6 during peak hours and normal hours.

In this way, the control device 2 controls the ozone generating unit 3 during the third time period, which is at least part of the time period in which the power unit price is the third value higher than the first value and lower than the second value. Alternatively, the stored ozone may be released and injected into the injection target. The time period in which the power unit price is the third value is, for example, the normal time period described above.

FIG. 8 is a diagram showing an example of an ozone supply amount according to a modification of the present embodiment. The modification shown in FIG. 8 shows an example in which it is possible to store the ozone used in the peak time zone and the normal time zone during the night time zone. In this case, there is no need to generate ozone during peak hours and normal hours.

FIG. 9 is a diagram showing an example of the operating cost reduction effect in the modified example of the present embodiment. As shown in FIG. 8, FIG. 9 shows the operation cost of a modification in the case where it is possible to store the ozone used in the peak time zone and the normal time zone during the night time zone. A comparative example is an example in which a constant amount of ozone is generated for 24 hours without storing ozone. Thus, in the modified example, the operating cost can be further reduced than in the example shown in FIG.

As described above, in the present embodiment, at least the ozone that is used during the time period when the electricity unit price is the highest is stored by utilizing the surplus capacity during the time period when the electricity price is the lowest. As a result, even in a system that injects ozone for 24 hours, the operating cost can be reduced compared to the case where no storage is performed. In addition, not only in systems that inject ozone for 24 hours, but also in cases where ozone is used only in the daytime, or in cases where the amount of ozone used differs from time to time, there is a surplus during the time when the unit price of electricity is the lowest. Operational costs can be reduced by leveraging capacity to store ozone.

Embodiment 2.
FIG. 10 is a diagram showing a configuration example of a water treatment system provided with an ozone generation system according to a second embodiment. As shown in FIG. 10, the water treatment system of the present embodiment is the same as the water treatment system of the first embodiment except that an ozone generation system 1a is provided instead of the ozone generation system 1 of the first embodiment. Components having functions similar to those of the first embodiment are denoted by the same reference numerals as those of the first embodiment, and overlapping descriptions are omitted. Differences from the first embodiment will be mainly described below.

The ozone generating system 1a of the present embodiment is the same as the ozone generating system 1 of the first embodiment except that an ozone generating section 3a is provided instead of the ozone generating section 3 of the first embodiment. The ozone generator 3a of the present embodiment is the same as that of Embodiment 1 except that ozone generators 32-1 and 32-2 and a preliminary generator 39 are provided instead of the ozone generator 32 of Embodiment 1. be. Ozone generators 32-1, 32-2 and preliminary generator 39 are the same as ozone generator 32 of the first embodiment. Three ozone generators, ozone generators 32-1 and 32-2 and a standby generator 39, were delivered as the ozone generation system 1a. Suppose one pre-generator 39 is reserved.

In this way, in the ozone generation system 1a provided with the backup generator 39, in the present embodiment, the backup generator 39 is also operated during times when the unit price of electricity is low, thereby reducing operating costs. That is, in the present embodiment, the total design value of the ozone injection amount of the three ozone generators 32-1, 32-2 and the preliminary generator 39 is treated as the design value of the ozone injection amount of the first embodiment. , as in the first embodiment, ozone is stored during a time period when the unit price of electric power is low.

For example, as in the example described in Embodiment 1, the power unit price is determined in three categories: peak time zone, normal time zone, and night time zone. /L is the target value for injection into the water treatment process 6 .

In the present embodiment, the control unit 22 sets the total of the design values of the ozone injection amounts of the three ozone generators 32-1, 32-2 and the preliminary generator 39 to the design value of the ozone injection amount of the first embodiment. As X mg/L, an ozone generation plan is created in the same manner as in the first embodiment. As a result, it is possible to store ozone to be used during peak hours and use the stored ozone during nighttime hours when the unit price of electricity is low. Alternatively, as in the modification of the first embodiment, during nighttime hours when the unit price of electricity is low, the ozone used during the peak and normal time periods is stored, and the stored ozone is stored during the peak and normal time periods. may be used.

As described above, in the present embodiment, the reserve generator 39 is also used to store ozone during times when the unit price of electricity is low, so that the operating cost can be reduced and the reserve generator 39 can be effectively used. can.

Embodiment 3.
FIG. 11 is a diagram showing a configuration example of a water treatment system provided with an ozone generation system according to Embodiment 3. FIG. The water treatment system shown in FIG. 11 is a water treatment system that purifies water to be treated by the membrane separation activated sludge method. As shown in FIG. 11, the water treatment system of the present embodiment includes a membrane bioreactor (MBR) system 9 including membrane bioreactor (MBR) devices 91-1 and 91-2, and an MBR device 91-1 , and an ozone generation system 1b for supplying ozone water for cleaning the membrane units 92-1 and 92-2 provided in the respective membrane units 91-2.

In the MBR system 9, the water to be treated is biodegraded with activated sludge in a treatment tank (not shown), and then in membrane units 92-1 and 92-2 having filtration membranes, from the primary side of the separation membrane to the secondary side. It is filtered and discharged through a pipe (not shown).

Contaminants including sludge, suspended solids, microorganisms, metabolites of microorganisms, etc. adhere or adhere to the surface and inside of the filtration membranes of the membrane units 92-1 and 92-2. As a result, the membrane permeation differential pressure, which is the difference between the pressure on the secondary side of the membrane during membrane filtration and the atmospheric pressure, increases, and the filtration performance decreases, such as the flux, which is the amount of filtered water per unit time and per unit membrane filtration area. Degradation occurs over time. Therefore, in order to maintain the filtration performance of the separation membrane, it is necessary to wash and remove contaminants from the interior and surface of the separation membrane. In this embodiment, ozone water produced by the ozone generation system 1b is used as the cleaning liquid in membrane cleaning.

As shown in FIG. 11, the ozone generation system 1b is the same as the ozone generation system 1 of Embodiment 1 except that it includes a control device 2a and an ozone water production unit 8 instead of the control device 2 and the ozone injection unit 5. . Components having functions similar to those of the first embodiment are denoted by the same reference numerals as those of the first embodiment, and overlapping descriptions are omitted. Differences from the first embodiment will be mainly described below.

In the present embodiment, the ozonized water producing unit 8, like the ozone injection unit 5 of the first embodiment, contains both the ozone generated in the ozone generator 32 and the ozone released from the ozone storage unit 33. or one supplied. The ozone water production unit 8 is an injection unit that produces ozone water using supplied ozone and injects the produced ozone water into the membrane units 92-1 and 92-2. In FIG. 11, the ozonized water producing unit 8, which is the injection unit, is arranged outside the MBR system 9, but the ozonized water producing unit 8 may be arranged near the membrane units 92-1 and 92-2. good. Membrane unit cleaning is appropriately carried out according to changes in the membrane performance of the membrane units 92-1 and 92-2 over time. The timing of the membrane unit cleaning is instructed from the MBR system 9 to the control device 2a (not shown).

Also in this embodiment, for the design value of the ozone injection amount, after the water treatment system is put into operation, a necessary target value that is lower than the design value is determined. Also in this embodiment, it is assumed that the design value of the ozone injection amount is X mg/L and the target value of the ozone injection amount is Y mg/L. In cleaning the membrane units in the MBR apparatuses 91-1 and 91-2, the timing and frequency of cleaning change depending on the condition of the inflow water. For this reason, rather than generating ozone and consuming electricity each time cleaning is performed, it is necessary to generate ozone at a design value of Xmg/L and store ozone during times when the unit price of electricity is low. It is possible to save energy and reduce operating costs by releasing the gas when it becomes low. The cleaning timing may be the same for the MBR devices 91-1 and 91-2, and may be different for the MBR devices 91-1 and 91-2. Also, the frequency of washing varies, such as once/day, six times/day, and once/week.

As shown in FIG. 11, the control device 2a includes a data input/output unit 21 similar to that of the first embodiment, and a control unit 22a.

For example, as in the example described in Embodiment 1, assuming that the power unit price is set in three categories of peak time zone, normal time zone, and night time zone, the control unit 22a controls the night time of a certain day. A plan is created so that ozone is generated at the design value of the ozone injection amount and stored in the ozone storage section 33 up to the maximum amount that can be stored, and the ozone generation section 3 is controlled based on the plan. Alternatively, the control unit 22a may predict the number of washings within a certain period of time, and determine the amount of stored ozone using the predicted number of washings.

FIG. 12 is a diagram showing a configuration example of the control unit 22a of this embodiment. As shown in FIG. 12, the control unit 22a has an injection amount performance storage unit 226 and an injection amount prediction unit 227 added to the control unit 22 of the first embodiment, and plans instead of the plan creation unit 221 of the first embodiment. A creation unit 221a is provided. The actual injection amount storage unit 226 acquires and stores actual values of the injection amounts of ozone into the membrane units 92-1 and 92-2. The actual values of the injection amounts of ozone into the membrane units 92-1 and 92-2 may be received by the data input/output unit 21 from the ozone water production unit 8 or the MBR system 9 and stored in the injection amount actual storage unit 226. Alternatively, for example, the user may input, via the data input/output unit 21, an approximate actual value of the cleaning frequency, such as how many times the cleaning was performed per month.

The injection amount prediction unit 227 predicts the ozone injection amount required for cleaning the membrane unit for a certain period of time using the actual values stored in the injection amount actual storage unit 226, and outputs the prediction result to the plan creation unit 221a. . For example, an ozone injection amount used for one cleaning is assumed, and the injection amount prediction unit 227 predicts the number of membrane unit cleanings in a certain period based on the actual values stored in the injection amount performance storage unit 226. By multiplying the estimated membrane unit cleaning frequency by the ozone injection amount used for one cleaning, the ozone injection amount for a certain period of time is predicted. For example, it is possible to divide the past actual values into fixed periods, calculate the number of membrane unit cleanings in each fixed period, and use the average value of the calculated number of times as the predicted value of the number of membrane unit cleanings.

The planning unit 221a uses the prediction result received from the injection amount prediction unit 227 to create a plan so that the ozone injection amount required for cleaning the membrane unit for a certain period of time is stored in a time period when the unit price of electricity is low. At this time, the injection amount prediction unit 227 may create a plan to generate and store more ozone than the prediction result. In this case, in actual operation, even if the stored ozone remains, it can be used for cleaning for the next fixed period. Further, when the actual number of times of cleaning is larger than the predicted result, cleaning is performed by generating ozone. Even in this case, operating costs can be reduced compared to the case where storage is not performed.

For example, if the power unit price is set in three categories: peak time zone, normal time zone, and night time zone, the fixed period is one week, and the number of washings per week is predicted to be three times, The plan creating unit 221a creates a plan to generate and store ozone enough to cover at least three cleaning times during the nighttime period at the start of one week.

In addition, in the example described above, it was assumed that the amount of ozone injection used within a certain period of time could be covered during the time period when the electricity unit price was lowest. It is also possible that the lowest hour of the day may not be able to cover all of the ozone injection that is used within a certain period of time. Further, in the future, it is conceivable that the division of the power unit price will be further subdivided, or that the power unit price will fluctuate.

For this reason, the plan creation unit 221a formulates the operating cost as an evaluation function, defines constraints, and solves an optimization problem to minimize the operating cost under the constraints, thereby obtaining a plan within a certain period of time. may be defined.

FIG. 13 is a flow chart showing an example of a plan creation procedure when operating costs are formulated in this embodiment. Steps S1, S3, and S4 are the same as the example shown in FIG. 4 of the first embodiment.

In the case of Yes in step S1, the injection amount prediction unit 227 predicts the amount of ozone used within a certain period of time, that is, the injection amount of ozone (step S11). It is assumed that the prediction result is the predicted value of the injection amount for each time period within a certain period. At this time, there is no particular restriction on the time interval of each time period, and it may be in units of 30 minutes, may be in units of one hour, or may be other than these. Next, the plan creating unit 221a sets the amount of ozone to be generated for each time period within a certain period using the predicted usage amount, which is the result of the prediction by the injection amount predicting unit 227 (step S12). In step S12, not only the amount of generated ozone but also the amount of generated ozone that is used and stored is set. The initial values of these quantities to be set are set to arbitrary values within the range that satisfies the constraint conditions. Constraint conditions are, for example, conditions represented by the following formulas (1) to (6). Constraints other than these may be defined.

y(t)=A(t)+B(t) (1)
Sum of S(t) from time 0 to t−Sum of B(t) from time 0 to time t−1 ≧B(t) (2)
Sum of S(t) from time 0 to time t−Sum of B(t) from time 0 to time t≦Upper limit of ozone storage amount (3)
G(t)≦X _max (4)
S(t)≦X _max (5)
G(t)=S(t)+A(t) (6)

Note that time t is an integer indicating the time when the start time of the fixed period is 0, y(t) is the predicted value of the amount of ozone used at time t, and G(t) is time t. , that is, the amount of ozone generated by the ozone generator 32 at time t, and X _max is the maximum ozone generation amount per unit time (corresponding to the design value). Let A(t) be the amount of G(t) used at time t, i.e., the amount injected at time t, S(t) be the amount of G(t) stored at time t, and B( Let t) be the stored ozone release at time t.

In the above formula, the upper limit of the ozone storage amount and X _max are determined in advance. y(t) is input as the prediction result. For this reason, the plan creation unit 221a appropriately sets the above G(t), A(t), B(t), and S(t) within the range that satisfies the above constraint conditions.

Next, the plan creation unit 221a calculates the operation cost within a certain period (step S13). For example, the plan creation unit 221a calculates θ, which is the amount of power used in the operation cost, by using the following formula (7). Here, the amount of electricity used is considered as the operation cost, but the raw material gas cost may be added to the operation cost. Let C(t) be the power unit price at time t, P(t) be the power required to generate a unit amount of ozone, and η(t) be the efficiency expressed as a percentage. P(t) is predetermined. Note that η(t) is maximized at the design value as described above, and decreases when ozone is generated at a value smaller than the design value. For this reason, the plan creating unit 221a predetermines η(t) as a function of G(t), or holds the correspondence between η(t) and G(t) in a table. η(t) is calculated using G(t).
θ=Σ{C(t)·G(t)·P(t)·100/η(t)} (7)

Next, the planning unit 221a determines whether the search has ended (step S14). The plan creation unit 221a determines Yes in step S14 when the conditions for ending the search are satisfied. The condition for terminating the search may be determined, for example, according to the search algorithm for the optimization problem.

If the search is not to be ended (step S14 No), the set ozone generation amount is changed (step S15), and the plan creation unit 221a repeats the process from step S13. In step S15, G(t), A(t), B(t), and S(t) described above are changed within a range that satisfies the above constraint conditions. A method for changing these values is determined according to the search algorithm for the optimization problem.

If the search is to end (step S14 Yes), the plan creating unit 221a creates a plan based on the set values that minimize the operation cost (step S16), and advances the process to step S4. Specifically, the plan creating unit 221a holds the operation cost calculated in step S13 and the corresponding set values, that is, G(t), A(t), B(t), and S(t), and Now, create a plan based on the set value that minimizes the operating cost among these.

Through the above process, it is possible to create an ozone generation plan that minimizes operating costs within a certain period of time. The processing shown in FIG. 13 can be applied not only to membrane unit cleaning but also to any system using ozone. The processing shown in FIG. 13 can also be applied to the system for constantly supplying a constant amount, for example, as described in the first embodiment. In this case, the predicted value of the injection amount within a certain period may be a constant value based on time t.

In addition, the injection amount prediction unit 227 may acquire data indicating the states of the membrane units 92-1 and 92-2 and use the data to predict the amount of ozone used within a certain period of time. For example, the control unit 22a receives from the MBR system 9 the difference between the secondary side pressure of the membrane units 92-1 and 92-2 and the atmospheric pressure, the unit time of the membrane units 92-1 and 92-2, and the unit membrane filtration area. Data obtained by measuring the flux, which is the amount of filtered water per unit, may be acquired, and the acquired data may be used to predict the timing of membrane unit cleaning or the number of times of membrane unit cleaning within a certain period by machine learning.

FIG. 14 is a diagram showing a configuration example of the injection amount prediction unit 227 of the present embodiment when prediction is performed by machine learning. In the example shown in FIG. 14 , the injection amount prediction unit 227 includes a model generation unit 231 , a learned model storage unit 232 and a prediction unit 233 .

FIG. 15 is a flowchart showing an example of the operation of the model generation unit 231 of this embodiment. Although FIG. 15 illustrates an example using supervised machine learning, there are no restrictions on the machine learning algorithm to be applied, and reinforcement learning or the like may be used. The model generator 231 acquires teacher data including measurement data and correct answer data (step S31). Specifically, the model generator 231 acquires measurement data indicating the states of the membrane units 92-1 and 92-2 and corresponding correct data from the MBR system 9 via the data input/output unit 21, for example. do. For example, the model generation unit 231 acquires the measurement data of the processing target period as time-series data, and acquires the time when the membrane unit cleaning was performed in a certain period after the period as the correct data. A plurality of sets of the measurement data and the corresponding correct data are acquired.

Next, the model generation unit 231 generates a learned model (step S32). Specifically, the model generation unit 231 generates a trained model by supervised machine learning using the acquired multiple sets of data as teacher data.

Next, the model generation unit 231 stores the learned model (step S33), and ends the process. Specifically, in step S<b>33 , the model generation unit 231 stores the learned model in the learned model storage unit 232 . The learned model may be generated for each of the membrane units 92-1 and 92-2, or a common learned model may be used for the membrane units 92-1 and 92-2.

FIG. 16 is a flow chart showing an example of the operation of the prediction unit 233 of this embodiment. As shown in FIG. 16, the prediction unit 233 acquires measurement data (step S41). Specifically, the prediction unit 233 indicates the states of the membrane units 92-1 and 92-2 from the MBR system 9 when predicting the number of membrane unit cleanings performed in a certain period after the period. Measurement data is acquired via the data input/output unit 21, for example. This measurement data is time-series data for a period having the same length as the processing target period used for model generation.

Next, the prediction unit 233 inputs the measurement data to the learned model, predicts the cleaning timing within a certain period of time (step S42), and ends the process. Specifically, the prediction unit 233 uses the output of the learned model obtained by inputting the measurement data from the learned model storage unit 232 to the learned model as the predicted value of the cleaning timing within a certain period.

As the supervised learning algorithm described above, for example, a neural network (including deep learning) can be used, but not limited to this, a decision tree, multiple regression, random forest, etc., can be used. may be used. A neural network consists of an input layer made up of multiple neurons, an intermediate layer (hidden layer) made up of multiple neurons, and an output layer made up of multiple neurons. The intermediate layer may be one layer, or two or more layers.

FIG. 17 is a schematic diagram showing an example of a neural network. For example, in a three-layer neural network as shown in FIG. 17, when multiple inputs are input to the input layer (X1-X3), the value is multiplied by the weight W1 (w11-w16) and the intermediate layer ( Y1-Y2), and the result is multiplied by weight W2 (w21-w26) and output from the output layer (Z1-Z3). This output result changes depending on the values of weight W1 and weight W2.

In the present embodiment, the weight W1 and the weight W2 are adjusted so that the output from the output layer approaches the correct data when the measurement data, which is the feature amount of the teacher data described above, is input to the input layer. , the relationship between the feature amount and the correct data is learned.

In the example described above, the injection amount prediction unit 227 generated the learned model, but this is not the only option, and the learned model may be generated by a learning device (not shown). In the above example, the measurement data of the membrane units 92-1 and 92-2, which are examples of the ozone injection target, are used. Any state data indicating the state of Therefore, the injection amount prediction unit 227 uses a learned model for predicting the injection amount at each time to the injection target within a certain period from the state data indicating the state of the injection target, and the acquired state data, It is only necessary to predict the amount of injection at each time to the injection target within a certain period of time.

In the example described above, efficiency was taken into account when calculating the power usage fee as an operating cost. You can make a plan. Also, in the above example, the plan was created to minimize the electricity usage fee, but since it is only necessary to reduce operating costs compared to the case where ozone is not stored, If so, the search may end and a plan may be created. That is, the control unit 22a predicts the amount of injection to the injection target at each time within a certain period of time, and uses the prediction result and the unit price of electricity for each time period to determine the amount of ozone required to generate ozone within a certain period of time. The amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generator 3 at each time are determined so that the power usage fee is reduced compared to when the power is not stored, and the determined result is used. can be used to control the ozone generator 3 .

As described above, in the present embodiment, ozone is stored during times when the unit price of electricity is low, and the membrane units 92-1 and 92-2 in the MBR system 9 are cleaned using the stored ozone. As a result, operating costs can be reduced compared to the case where storage is not performed. In addition, by predicting the amount of ozone used, calculating the operation cost, and obtaining the amount of ozone to be generated so as to minimize the operation cost, the operation cost can be reduced regardless of the usage method.

Embodiment 4.
FIG. 18 is a diagram showing a configuration example of an ozone generation system according to a fourth embodiment. The ozone generation system of this embodiment can be applied to a water treatment system as in the first embodiment. Although not shown, the ozone injection unit 5 injects ozone into the water treatment process 6 in the same manner as in the first embodiment. In the present embodiment, the ozone generation system 1 similar to that of the first embodiment is realized by adding a function to the water treatment system in which the ozone generator 32 is already provided. Components having functions similar to those of the first embodiment are denoted by the same reference numerals as those of the first embodiment, and overlapping descriptions are omitted. Differences from the first embodiment will be mainly described below.

For example, assume that an ozone generator has already been installed using air as a raw material, and ozone has been injected from the ozone generator into the water treatment process 6 similar to that of the first embodiment. In such a water treatment system, the existing ozone generator is used as it is as the ozone generator 32 of Embodiment 1, and the ozone storage device 200 indicated by the dashed line is added. Thereby, the ozone generation system 1 similar to that of the first embodiment can be realized. Note that the control device 2 may be newly provided, or may be the control device 2 by modifying an existing control device. The ozone storage device 200 is obtained by removing the ozone generator 32 and the switching valve 34 from the control device 2 and the ozone generator 3 described in the first embodiment. As for the switching valve 34 , since it is assumed that there is some kind of valve in the existing system, an example of using this valve is shown, but the switching valve 34 may also be included in the ozone storage device 200 .

Even if the existing ozonizer is designed for dry air, it can be changed to the ozonizer 32 using oxygen as a raw material by adjusting the power supply. When oxygen is used as the raw material gas, the cost of the raw material gas increases compared to when air is used as the raw material. Therefore, the cost increase due to the change of the source gas type is small. Also, by changing the raw material gas to oxygen, the ozone generation efficiency can be greatly improved as compared with the case of using dry air, and high-concentration ozone can be obtained.

In the case of injecting ozone water into the MBR system 9 described in Embodiment 3, similarly, an ozone generation system can be realized by adding the ozone storage device 200 to the existing system. .

As described above, by adding the ozone storage device 200 shown in FIG. 18 to the existing ozone generation system using air as a raw material and making some changes, it is possible to easily produce ozone with higher efficiency and lower cost. The generation system 1 can be realized.

Embodiment 5.
FIG. 19 is a diagram illustrating a configuration example of an ozone generation system according to a fifth embodiment; The ozone generation system 1c of the present embodiment can be applied to a water treatment system as in the first embodiment. Although not shown, the ozone injection unit 5 of the ozone generation system 1c injects ozone into the water treatment process 6 as in the first embodiment. Components having functions similar to those of the first embodiment are denoted by the same reference numerals as those of the first embodiment, and overlapping descriptions are omitted. Differences from the first embodiment will be mainly described below.

In the ozone generating system 1c shown in FIG. 19, the ozone generator 3b, which is an ozone generator, also functions as the control device 2. Although not shown in FIG. 1 of Embodiment 1, a controller for controlling each part is generally provided in the ozone generator 3 . In the example shown in FIG. 19, a control unit 22b having both functions of this control unit and the control unit 22 of the first embodiment is provided, and the control unit 22b performs the same operation as the control unit 22 of the first embodiment. At the same time, it controls the ozone generator 32, switching

valves

34 and 35, etc. in the ozone generator 3b. As for the data input/output unit 21, when it is originally provided in the ozone generating unit 3b, the one in the ozone generating unit 3b may be used, or it may be newly provided. In addition, in the existing water treatment system, when diverting the existing ozone storage unit, by adding an ozone generator excluding the ozone storage unit 33 from the ozone generation unit 3b shown in Fig. 19, the ozone generation system 1c may be implemented.

In this way, the control section 22b in the ozone generation section 3b, which is an ozone generation device, may perform the same operation as in the first embodiment. Also, when applied to the MBR system 9 described in the third embodiment, similarly, the ozone generator 3b is used and the controller 22b in the ozone generator 3b performs the same operation as in the third embodiment. may

The configurations shown in the above embodiments are only examples, and can be combined with other known techniques, or can be combined with other embodiments, without departing from the scope of the invention. It is also possible to omit or change part of the configuration.

1, 1a, 1b, 1c Ozone generation system, 2, 2a Control device, 3, 3a, 3b Ozone generation unit, 5 Ozone injection unit, 6 Water treatment process, 7 Exhaust ozone treatment unit, 8 Ozonated water production unit, 9 MBR System, 21 data input/output unit, 22, 22a, 22b control unit, 31 source gas supply unit, 32, 32-1, 32-2 ozone generator, 33 ozone storage unit, 34, 35 switching valve, 36, 37 ozone Transportation route, 38 Oxygen reuse route, 39 Reserve generator, 91-1, 91-2 MBR device, 92-1, 92-2 Membrane unit, 200 Ozone storage device, 221, 221a Planning unit, 222 Electric power unit price storage 223 injection amount information storage unit 224 plan storage unit 225 instruction unit 226 injection amount performance storage unit 227 injection amount prediction unit 231 model generation unit 232 learned model storage unit 233 prediction unit.

Claims

A control device for controlling an ozone generating unit capable of storing generated ozone and injecting ozone into an ozone injection target,
causing the ozone generator to generate ozone so that the amount of ozone generated per unit time is the first amount in a first time period that is at least part of the time period in which the unit price of electricity is the first value; In the first time period, the ozone generator is caused to inject a second amount of ozone smaller than the first amount per unit time into the injection target, and the generated ozone is not injected into the injection target. Ozone is stored, and the stored ozone is released to the ozone generator during a second time period that is at least part of the time period in which the unit price of electricity is a second value equal to or greater than the first value. and injecting into the injection target.
The control device according to claim 1, characterized in that the ozone generator injects the second amount of ozone per unit time into the injection target as a constant amount regardless of the time zone.
2. The ozone generator is caused to inject the stored and released ozone into the injection target in the second amount per unit time in all the time zones in which the power unit price is the second value. The control device according to .
During a third time period, which is at least part of the time period in which the unit price of electricity is a third value higher than the first value and lower than the second value, the ozone generator releases stored ozone. 4. The control device according to claim 3, wherein the injection target is caused to inject the injection target.
Predicting the injection amount at each time to the injection target within a certain period of time, and using the result of the prediction and the unit price of electricity for each time period, the electricity usage fee required for generating ozone within the certain period of time is calculated. The amount of ozone generated, the amount of stored ozone, and the amount of discharged stored ozone in the ozone generation unit at each time are determined so that the ozone generation amount, the stored amount of ozone, and the stored ozone release amount are reduced so as to be reduced compared to when storage is not performed, and the determined result is used by the ozone generation unit. The control device according to claim 1, characterized in that it controls the
Furthermore, by using the efficiency that depends on the amount of ozone generated per unit time, each Determining the amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generation unit at the time,
The first amount is the maximum amount that can be generated per unit time in the ozone generator, and the efficiency is maximized when the amount of ozone generated per unit time is the first amount. 6. The control device according to claim 5, characterized in that:
Determining the amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generation unit at each time so that the charge for electricity required to generate ozone within the predetermined period is minimized. 7. Control device according to claim 5 or 6.
A screen showing the amount of reduction in electricity usage charges compared to when ozone is not stored, a screen showing the amount of ozone generated and stored for each time period, and the operating state of the ozone generator. a data input/output unit displaying at least one;
8. A control device according to any one of claims 1 to 7, characterized in that it comprises:
A control device for controlling an ozone generating unit capable of storing generated ozone and injecting ozone into an ozone injection target,
Predicting the injection amount at each time to the injection target within a certain period of time, and using the result of the prediction and the unit price of electricity for each time period, the electricity usage fee required for generating ozone within the certain period of time is calculated. , the amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generation unit at each time are determined so that the amount of ozone is reduced compared to when ozone is not stored; A control device for controlling an ozone generator.
Furthermore, by using the efficiency that depends on the amount of ozone generated per unit time, the above-mentioned at each time so that the usage fee for the electricity required to generate ozone within the above-mentioned fixed period is reduced compared to the case where no storage is performed. Determining the amount of ozone generated, the amount of stored ozone and the amount of released stored ozone in the ozone generator,
The first amount is the maximum amount that can be generated per unit time in the ozone generator, and the efficiency is maximized when the amount of ozone generated per unit time is the first amount. 9. The control device according to claim 8, characterized in that:
Determining the amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generation unit at each time so that the charge for electricity required to generate ozone within the predetermined period is minimized. 10. Control device according to claim 8 or 9.
11. The control device according to any one of claims 8 to 10, wherein the amount of injection to the injection target at each time within the fixed period is predicted using past injection amounts.
Acquiring state data indicating the state of the injection target, using a trained model for predicting the injection amount at each time to the injection target within the certain period from the state data, and using the acquired state data 11. The control device according to any one of claims 8 to 10, wherein the amount of injection to the injection target at each time within the fixed period is predicted.
an ozone generator for generating ozone;
an ozone storage unit for storing ozone generated by the ozone generator;
an injection unit for injecting at least one of ozone generated by the ozone generator and ozone released from the ozone storage unit into an ozone injection target;
with
The ozone generator is configured to generate a first amount of ozone per unit time in a first time period that is at least part of the time period in which the unit price of electricity has a first value. generate ozone in
The injection unit injects a second amount of ozone smaller than the first amount per unit time into the injection target in the first time period,
The ozone storage unit stores ozone that is not injected into the injection target among the ozone generated by the ozone generator during the first time period, and has a power unit price of a second value that is equal to or greater than the first value. releasing the stored ozone during a second time period that is at least part of the time period that is
The ozone generating system, wherein the injection unit injects the ozone released from the ozone storage unit into the injection target during the second time period.
An ozone storage device that stores ozone generated by an ozone generator that generates ozone,
an ozone storage unit for storing ozone generated by the ozone generator;
a control device that controls the ozone generator, the ozone storage device, and an injection unit that injects ozone into an ozone injection target;
with
The control device causes the ozone generator to generate a first amount of ozone per unit time in a first time period that is at least part of a time period in which the unit price of electricity has a first value. generating ozone, causing the ozone generator to inject a second amount of ozone less than the first amount per unit time into the injection target in the first time period, and out of the generated ozone Ozone that is not injected into the injection target is stored in the ozone storage unit, and in a second time period that is at least part of a time period in which the unit price of electricity is a second value equal to or greater than the first value, An ozone storage device, comprising: an ozone storage unit for releasing stored ozone; and an injection unit for injecting the ozone released from the ozone storage unit into the injection target.
An ozone generator capable of generating ozone and supplying the generated ozone to at least one of an ozone storage unit for storing ozone and an injection unit for injecting ozone into an ozone injection target,
an ozone generator capable of generating ozone and supplying the generated ozone to at least one of the ozone storage unit and the injection unit;
a control device that controls the ozone generator, the ozone storage unit, and the injection unit;
with
The control device causes the ozone generator to generate a first amount of ozone per unit time in a first time period that is at least part of a time period in which the unit price of electricity has a first value. generating ozone, causing the ozone generator to inject a second amount of ozone less than the first amount per unit time into the injection target in the first time period, and out of the generated ozone Ozone that is not injected into the injection target is stored in the ozone storage unit, and in a second time period that is at least part of a time period in which the unit price of electricity is a second value equal to or greater than the first value, An ozone generator, comprising: an ozone storage unit for releasing stored ozone; and an injection unit for injecting the ozone released from the ozone storage unit into the injection target.
A water treatment device that includes a membrane unit and purifies water to be treated by a membrane separation activated sludge method;
an ozone generation system for injecting ozone water used for cleaning the membrane unit into the membrane unit;
with
The ozone generation system comprises:
an ozone generator for generating ozone;
an ozone storage unit for storing ozone generated by the ozone generator;
Ozone water is generated by using at least one of ozone generated by the ozone generator and ozone released from the ozone storage unit, and the generated ozone water is supplied to the membrane unit. an ozonated water production unit that injects into
Predicting the amount of injection into the membrane unit at each time within a certain period of time, and using the result of the prediction and the unit price of electricity for each time period, the charge for the electricity required to generate ozone within the certain period of time is determined. , determining the amount of ozone generated, the amount of stored ozone, and the amount of released stored ozone in the ozone generator at each time so that the amount of ozone is reduced compared to when ozone is not stored, and using the determined results, a controller that controls the ozone generator and the ozone storage;
A water treatment system comprising:
An ozone injection control method in an ozone generation system for injecting ozone into an ozone injection target, comprising:
generating ozone so that the amount of ozone generated per unit time is the first amount in a first time period that is at least part of the time period in which the unit price of electricity is the first value;
injecting a second amount of ozone smaller than the first amount per unit time into the injection target in the first time period;
storing ozone that is not injected into the injection target among the generated ozone during the first time period;
releasing the stored ozone in a second time period that is at least part of the time period in which the unit price of electricity is a second value equal to or greater than the first value;
An ozone injection control method, comprising injecting released ozone into the injection target during the second time period.
A computer system that controls an ozone generator that can store the generated ozone and injects ozone into an object to be injected with ozone,
The step of causing the ozone generator to generate ozone so that the amount of ozone generated per unit time is the first amount in a first time period that is at least part of the time period in which the unit price of electricity is the first value. When,
In the first time period, the ozone generator is caused to inject a second amount of ozone smaller than the first amount per unit time into the injection target, and the generated ozone is not injected into the injection target. storing ozone;
During a second time period, which is at least part of the time period in which the unit price of electricity is a second value equal to or greater than the first value, the ozone generator is caused to release stored ozone to the injection target. injecting into the
A computer program characterized by causing the execution of