JPH113112A - Operation supporting device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support operation so as to improve total efficiency. SOLUTION: A load distribution calculation processing part 7 is equipped with a means for finding total energy consumption for each energy class at present in an energy consumption facility 2 based on plant data fetched from a process input processing part 6 and based on the current total energy consumption for each energy class provided by this means and the characteristic data of subplant, a load amount to be partially charged for each subplant and the class of energy are calculated as a load distribution value so as to most improve efficiency at the current time point. An operation guide preparation processing part 8 finds operating manipulation contents required for providing the load distribution value calculated by the load distribution calculation processing part 7 and reports them to an operator.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a sub-plant such as a cogeneration plant, a boiler, and an ice heat storage system,
The present invention relates to a combined energy plant for supplying energy such as electric power, steam, hot water, cold water, and the like, and a driving support device for supporting a driving operation in energy consuming equipment that consumes the energy and performs production activities.

[0002]

2. Description of the Related Art For example, FIG. 23 is a configuration diagram of a conventional driving support device. In the figure, the operation support device includes a plurality of sub-plants A, sub-plants B,..., Sub-plants Z, and a combined energy plant 1 that produces electric power, steam, hot water, cold water, and the like, and electric power, steam, hot water, and cold water. The energy consuming equipment 2 and the combined energy plant 1 that consume the same are configured by an operation console 3 according to operation commands.

When an operation command is issued from the operation console 3, the sub-plant A, the sub-plant B,..., The sub-plant Z of the combined energy plant 1 are operated, and the electric power and steam produced by the combined energy plant 1 are generated. It is supplied to the energy consuming equipment 2 and consumed.

[0004] With regard to such a combined energy plant that supplies energy such as electric power and steam to a production facility, which has been increasing in recent years, the operating characteristics and the like of the whole plant are often not accurately grasped and empirical. The operation record is not always abundant. Therefore, the operation method for each sub-plant, particularly the output energy sharing, has conventionally been determined based on the intuition and experience of the operator. In addition, it was not exactly known how to operate more efficiently.

[0005] In addition, when the operation rate of energy consuming equipment increases and the amount of energy actually consumed increases, it has been difficult to know in advance whether the energy amount that can be output from the combined energy plant will be enough.

[0006]

However, in the above-described conventional situation, the operator operates the operation panel 3 shown in FIG.
It is difficult to efficiently supply energy from the combined energy plant 1 according to the demand of the operator, and the operation burden on the operator is excessive.

That is, the energy demands of the energy consuming equipment 2 vary from time to time due to complicated factors.
It is difficult for an operator to accurately predict and grasp demand. Further, since each sub-plant of the combined energy plant 1 has different characteristics depending on various types such as steam and electric power, it has been extremely difficult to desire an efficient operation according to a demand that changes according to an operator's judgment.

Further, when the demand is rapidly increased, the operation plan of the combined energy plant 1 is artificially changed, for example.
Again, it was difficult and could hurt the production plan.

Therefore, the present invention provides a driving support device that supports the operation of a combined energy plant that can supply various types of energy efficiently and accurately according to the demand of energy consuming equipment, while reducing the operation load. The purpose is to:

[0010]

According to the first aspect of the present invention, there is provided a composite energy comprising a plurality of sub-plants for producing and supplying various kinds of energy to energy consuming equipment consuming various kinds of energy such as electric power and steam. In an operation support device for assisting operation of a plant, a process input processing unit that takes in plant data from a combined energy plant and energy consuming equipment, and a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant Means for obtaining the total energy consumption of each energy type of the energy consuming equipment based on the plant data taken from the process input processing unit; and the current total energy consumption of each energy type obtained by this means. Based on the sub-plant characteristic data A load distribution calculation processing unit that calculates a load amount and an energy type assigned to each sub-plant as a load distribution value so that the overall efficiency is highest, and a load distribution value calculated by the load distribution calculation processing unit. An operation guide creation processing unit is provided for automatically operating the operation required for realizing the operation or for notifying the operator of the operation. According to this means, the current total energy consumption for each energy type is obtained, and based on the current total energy consumption and the characteristic data of the subplant, each subplant is designed to have the highest overall efficiency at the present time. Is calculated as a load distribution value. Then, the contents of the driving operation for realizing the calculated load distribution value are notified to the operator. This allows the operator to operate with high efficiency at the present time by operating in accordance with the notified driving operation details, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. Can be reduced.

According to a second aspect of the present invention, there is provided an operation support system for operating a combined energy plant comprising a plurality of sub-plants for producing and supplying various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from a complex energy plant and energy consuming equipment, a subplant characteristic data table that stores characteristic data for each subplant of the complex energy plant, and an increase or decrease in energy consumption. A past operation results data table that stores past operation results data according to the factor items that cause the above, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Energy consumption based on data Means for determining the total energy consumption of current energy each type of Bei, current and the total energy consumption for each energy type obtained by this means,
A load prediction processing unit comprising means for predicting a future load for each energy type from future operation plan data extracted from the energy consumption equipment operation plan data table and past operation result data extracted from the past operation result data table And a predicted load distribution value assigned to each sub-plant such that the overall efficiency is highest based on the future load prediction for each energy type obtained by the load prediction processing unit and the characteristic data of the sub-plant. A load distribution calculation processing unit for calculating the predicted load distribution value as a predicted load distribution value, and automatically driving or informing an operator of a driving operation content required to realize the predicted load distribution value calculated by the load distribution calculation processing unit And an operation guide creation processing unit for performing the operation guide creation. According to this means, based on the plant data, the total energy consumption for each current energy is obtained, and a future load prediction for each energy type is obtained from these, the future operation plan data and the past operation result data. . Further, based on the obtained future load prediction and the characteristic data of the sub-plant, the load amount and the energy type assigned to each sub-plant are calculated as the predicted load distribution value so that the overall efficiency becomes highest. Then, the contents of the driving operation are notified so that the calculated predicted load distribution value can be realized. This allows the operator
If the operation is performed according to the notified operation content, a highly efficient operation can be performed at the present time, and the highly efficient operation can be performed without relying on intuition and experience as in the related art, and the burden on the operator can be reduced.

According to a third aspect of the present invention, there is provided an operation support system for operating a combined energy plant including a plurality of sub-plants for producing and supplying various types of energy to energy consuming equipment that consumes various types of energy such as electric power and steam. A process input processing unit that captures plant data from a complex energy plant and energy consuming equipment, a subplant characteristic data table that stores characteristic data for each subplant of the complex energy plant, and an increase or decrease in energy consumption. A past operation results data table that stores past operation results data according to the factor items that cause the above, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Energy consumption based on data Means for calculating the total energy consumption for each current energy type of the equipment, the total energy consumption for each current energy type obtained by this means, and the future operation plan data extracted from the energy consumption equipment operation plan data table. A load prediction processing unit comprising means for predicting a load within a certain period for each energy type from past operation result data extracted from the past operation result data table, and for each energy type obtained by the load prediction processing unit. Based on the load forecast for a certain period and the characteristic data of the sub-plants, the time-series forecast load distribution value shared by each sub-plant is calculated so that the efficiency for the certain period is the highest overall. A load distribution calculation unit for calculating a distribution value, and a predicted load distribution for a certain period calculated by the load distribution calculation unit. A driving operation contents necessary to achieve the value is obtained so as to provide an operation guide creation processing unit for notifying to the operator. According to this means, a load prediction for each energy type is obtained from the current total energy consumption for each energy type, future operation plan data, and actual operation data. Next, a load prediction for each energy type is obtained, and based on the load prediction and the characteristic data of the sub-plant, the load amount and the energy type assigned to each sub-plant are determined so that the overall efficiency becomes highest in a certain period. It is calculated as a predicted load distribution value. Then, the details of the driving operation for realizing the calculated predicted load distribution value are notified to the operator. This allows the operator to operate with high efficiency in a certain period of time by operating in accordance with the notified operation content of operation, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past.
The burden on the operator can be reduced.

According to a fourth aspect of the present invention, in the driving support apparatus according to the second or third aspect, each predicted load value for each energy type obtained by the load prediction processing section is compared with the composite energy suppliable capacity. Thus, the operation plan is reviewed before the predicted load value exceeds the combined energy supply capacity. According to this means, the predicted load value for each energy type and the available capacity of the composite energy plant are compared, and the predicted load value is reviewed so as not to exceed the available capacity of the composite energy plant. As a result, the situation where the actual load value exceeds the supply capacity of the combined energy plant is avoided, and immediately before the load value is exceeded, the load amount is sharply reduced to lower the plant efficiency, or the energy consuming equipment is greatly affected. Can be prevented.

According to a fifth aspect of the present invention, there is provided an operation support system for operating a combined energy plant comprising a plurality of sub-plants for producing and supplying various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from a combined energy plant and energy consuming equipment, a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant, and a plant input processing unit Means for calculating each actual load corresponding to the current energy type in the sub-plant based on the plant data taken from the apparatus, and the actual load and sub-plant characteristic data table for each sub-plant obtained by this means. Supply of each sub-plant from characteristic data of each sub-plant Competence is obtained so as to provide a load state organization process unit comprising a means for calculating in accordance with the energy type to. According to this means, the actual load amount corresponding to the current energy type is calculated for each sub-plant, and the surplus supply amount of each sub-plant is calculated from this and the characteristic data of the sub-plant. The remaining supply amount is notified to the operator. Thus, the actual load amount and the surplus supply amount of the combined energy plant can be known, so that the operator can accurately grasp the operation state.

According to a sixth aspect of the present invention, there is provided an operation support system for operating a combined energy plant comprising a plurality of sub-plants for producing and supplying various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from a complex energy plant and energy consuming equipment, a subplant characteristic data table that stores characteristic data for each subplant of the complex energy plant, and an increase or decrease in energy consumption. A past operation results data table that stores past operation results data according to the factor items that cause the above, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Energy consumption based on data Means for calculating the total energy consumption for each current energy type of the equipment, the total energy consumption for each current energy type obtained by this means, and the future operation plan data extracted from the energy consumption equipment operation plan data table. A load prediction processing unit comprising: means for performing a load prediction for each energy type from past operation result data extracted from the past operation result data table; and a load prediction for each energy type obtained by the load prediction processing unit. The load for calculating the time-series predicted load distribution value shared by each sub-plant as the predicted load distribution value for a certain period so that the efficiency for the certain period is the highest overall based on the data and the characteristic data of the sub-plant. A distribution calculation processor, and each predicted load value and composite energy for each energy type obtained by the load prediction processor; Review the operation plan before the predicted load value exceeds the combined energy suppliable capacity by comparing the achievable capacity with the achievable capacity. On the other hand, the actual load amount for each subplant and the characteristic data of each subplant in the subplant characteristic data table And a load condition rearranging processing unit comprising means for calculating the remaining supply capacity of each sub-plant according to the energy type, and an operation of creating operating operation information obtained by each processing unit as an operation guide and informing the operator of the operation operation information A guide creation processing unit is provided.
According to this means, a load prediction for each energy type is obtained from the current total energy consumption for each energy type, future operation plan data, and actual operation data. next,
A load prediction for each energy type is obtained, and based on the load prediction and the characteristic data of the sub-plant, the load amount and the energy type assigned to each sub-plant are estimated and distributed so that the overall efficiency is maximized in a certain period. It is calculated as a value. Then, the details of the driving operation for realizing the calculated predicted load distribution value are notified to the operator. This allows the operator to operate with high efficiency for a certain period of time by operating in accordance with the notified operation details of the operation, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. Can also be reduced. Further, the predicted load value for each energy type and the suppliable capacity of the composite energy plant are compared, and the predicted load value is reviewed so as not to exceed the suppliable capacity of the composite energy plant.
As a result, the situation where the actual load value exceeds the supply capacity of the combined energy plant is avoided.
Alternatively, it is possible to prevent a large impact on the energy consuming equipment. Further, each actual load corresponding to the current energy type is calculated for each sub-plant, and the surplus supply amount of each sub-plant is calculated from this and the characteristic data of the sub-plant, and the actual load amount and the surplus supply amount are calculated. Is notified to the operator. Thus, the actual load amount and the surplus supply amount of the combined energy plant can be known, so that the operator can accurately grasp the operation state.

[0016]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of a driving support system according to a first embodiment of the present invention. In a system comprising a complex energy plant 1, an energy consuming facility 2, and an operation console 3, By providing the support device 4, the operator can display drivingly meaningful driving support information on the display unit 5 for the operator.

The driving support device 4 includes a process input processing unit 6
, Load distribution calculation processing unit 7, operation guide creation processing unit 8, display output processing unit 9, and subplant characteristic data table 10.
Consists of

Here, the process input processing unit 6 includes the combined energy plant 1 and the combined energy plant 1
Import plant data from The sub-plant characteristic data table 10 stores characteristic data for each sub-plant of the combined energy plant 1. The load distribution calculation processing unit 7 includes means for calculating the total energy consumption for each current energy type of the energy consuming equipment 2 based on the plant data fetched from the process input processing unit 6, and for each energy type obtained by this means. Based on the current total energy consumption and the characteristic data of the sub-plant, the load amount and the energy type assigned to each sub-plant are calculated as the load distribution value so that the efficiency is highest overall at the present time. The operation guide creation processing unit 8 obtains the contents of the driving operation required to realize the load distribution value calculated by the load distribution calculation processing unit 7 and notifies the operator of the content.

Next, the load distribution calculation processing section 7 will be described with reference to FIG.

First, the current values of the loads of electric power, steam, hot water, and cold water consumed by the energy consuming equipment 2 are received from the process input processing unit 6. And the combined energy plant 1 which is an aggregate of several sub-plants
Calculates the energy output amount for each sub-plant that realizes this energy output amount most efficiently.

First, the current load amount (electric power) 50a is allocated to each sub-plant by the electric power production amount division processing means 51a. Similarly, the current load amount (electric power) 50b is also allocated by the steam production amount division processing means 51b. Other current load (**) 50n also *
* Allocated by the production amount division processing means 51n. At that time, for example, in order to produce cold water in a certain sub-plant, it may be necessary to consume steam produced in another sub-plant. In consideration of the increased energy, the load sharing process is performed so that the amount of energy output to the energy consuming equipment 2 becomes the current value of the load.

Next, as described above, the subplant A equipment characteristic calculation processing means 52a calculates the plant efficiency when all the energy including the power and steam allocated to the subplant A is produced. . This efficiency calculation process is calculated for all sub-plants.

Next, the overall efficiency of the combined energy plant 1 is calculated by the total efficiency calculation processing means 53 from the plant efficiency of these sub-plants, thereby evaluating the above-mentioned state of sharing the energy output.

With such a procedure, the efficiency of the entire plant is calculated for all possible distribution of the energy output. Among them, the load distribution value calculation processing unit 54 outputs the distribution of the energy output amount that maximizes the overall plant efficiency.

The load distribution calculation processing section 7 calculates, for example, the plant efficiency for all conceivable combinations of the current load amounts (power, steam, chilled water, etc.) within the limits of the respective sub-plants. Among them, the most efficient load sharing is sought.

For example, it is assumed that the sub-plant A is a cogeneration plant as shown in FIG. 3, and is a facility for producing electric power and steam. Maximum production of each is 6MW, 15t
/ H.

It is assumed that the sub-plant B is a facility for producing only steam in a boiler plant as shown in FIG. 4, and its maximum production is 9 t / h.

It is assumed that the sub-plant C is a facility that produces only electric power in a fuel cell plant as shown in FIG. 5, and its maximum production is 2 MW.

Further, it is assumed that the plant characteristic is known to follow the following graph when producing each energy.

Therefore, for example, the load amount (power 5 MW,
Consider load sharing for the case of steam 4t / h). The possible combinations in that case are as shown in FIG. That is, looking at the characteristics of the sub-plant A, there is a relationship between the electric power and the steam production amount. When producing 5 MW of electric power, the steam production amount is limited to 3 to 7 t / h. Further, the fuel consumption at that time is about eight. Considering this way, it can be seen that all possible load sharing combinations can be exhausted in the above table. Therefore, the smallest fuel consumption among these cases is 6, 0 in case, and this case can be determined as the most efficient operation as a total plant.

The obtained load distribution value is passed to the operation guide creation processing unit 8. The operation guide creation processing unit 8 compares the current load state received from the process input processing unit 6 with the load distribution value obtained as described above for each subplant so that the load distribution value is obtained. Perform a process to determine a suitable driving operation method.

As described above, the current value of the total energy consumption of the energy consuming equipment 2 is fetched from the process input processing unit 6. Next, for all cases of energy output sharing for each sub-plant that can be considered when this combined energy plant 1 outputs this total energy consumption,
Calculate the efficiency of the whole plant. Then, among the energy sharing methods for all the sub-plants, a sharing with the highest plant efficiency is found. Next, by calculating the difference between the operating state capable of outputting the energy for each sub-plant determined as described above and the current actual operating state, the operating operation method to be performed by the operator is determined. Here, by instructing the operator on the operation method determined by the driving support device, the operator can easily operate the combined energy plant in the highest efficiency state.

For example, in the example of FIG. 6 of the first embodiment, assuming that the current state and the optimum state of the load sharing are shown in FIG. 7, the present state and the optimum state are plotted and the display 5 is displayed as shown in FIGS. Display to

As described above, according to the first embodiment, the current total energy consumption for each energy type is obtained, and based on the current total energy consumption and the characteristic data of the sub-plant, the most comprehensive efficiency at present is obtained. Is calculated as a load distribution value such that the load amount and the energy type assigned to each sub-plant become higher. Then, the contents of the driving operation for realizing the calculated load distribution value are notified to the operator. This allows the operator to operate with high efficiency at the present time by operating in accordance with the notified driving operation details, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. Can be reduced.

FIG. 11 is a block diagram of a driving support apparatus according to a second embodiment of the present invention. In a system including a complex energy plant 1, energy consuming equipment 2, and a driving operation panel 3, driving support is provided. Equipped with the device 4A, the display 5 displays drivingly meaningful driving support information to the operator.

The driving support apparatus 4A has a load prediction processing unit 11, a past operation result data table 12, and an energy consumption facility operation plan table 13 added to the first embodiment shown in FIG.

Here, the past operation result data table 12
Stores a factor item that causes an increase or a decrease in energy consumption and past operation result data corresponding to the factor item.
The energy consumption equipment operation plan table 13 stores energy consumption equipment plan data. Load prediction processing unit 11
Means for calculating the total energy consumption for each current energy type of the energy consuming equipment 2 based on the plant data fetched from the process input processing unit 6, and each total energy consumption for each current energy type obtained by this means. Means for predicting the future load for each energy type from the future operation plan data extracted from the quantity and energy consumption equipment operation plan table 13 and the past operation result data extracted from the past operation result data table 12. . The load distribution calculation processing unit 7 assigns each sub-plant such that the efficiency becomes highest overall based on the future load prediction for each energy type obtained by the load prediction processing unit 11 and the characteristic data of the sub-plant. The predicted load distribution value amount and the energy type to be calculated are calculated as predicted load distribution values.

Next, the load prediction processing section 11 performs the processing shown in FIG.

The actual operation data search processing means 56 refers to the operation plan of the day and finds out how many of the operation results of the plant on the day when the same load of the energy consuming equipment 2 was loaded in the past from the past operation result data table 12. Or search. Then, among them, the operation result data having the closest load state or fluctuation is selected.

For example, the actual operation data search processing means 56
Then, as items related to energy consumption, past energy consumption data on the day when the day of the week, scheduled overtime, planned production amount of the day, etc. are the same are searched from accumulated data for the past 10 years, and the average value is obtained.

For example, in the actual operation data search processing means 56, the factors affecting the energy consumption in the past data obtained by the search include the temperature of the day: 0. A correction of 01 MW / ° C. is made to the power consumption. Production: 0.06 MW / SET, 0.003 when the actual value fluctuates with respect to the planned production
The correction of t / h / SET is performed for the power consumption and the steam consumption, respectively.

Next, the operation data correction processing means 57
Current load amount 59 received from the process input processing unit 6
(a) Using various current values such as the current temperature value 59b, processing is performed in which special factors of the day that are not covered in the operation plan are added to the prediction. In this way, the energy consumption of the energy consuming equipment 2 on the day is predicted and passed to the load prediction calculation processing means 58.

Next, the load distribution calculation processing section 7 performs the processing shown in FIG. 13 and receives the predicted value of the load from the load prediction processing section 11, and the combined energy plant 1, which is an aggregate of several sub-plants, The energy output amount for each sub-plant that efficiently realizes this energy output amount is obtained.

That is, the predicted load amount (power) 61a received from the load prediction processing unit 11 is allocated to each sub-plant by the power production amount division processing means 62a. Similarly, allocation is performed based on the predicted load amount (steam) 61b. For other predicted load amounts (**) 61n,
Allocate. At that time, for example, in order to produce cold water in a certain sub-plant, it may be necessary to consume steam produced in another sub-plant. In consideration of the increased energy, the respective allocation / sharing processes are performed such that the amount of energy output to the energy consuming equipment 2 becomes the current value of the load.

Next, as described above, the plant efficiency in the case where all the energy including the power and steam allocated to the subplant A is produced by the subplant A device characteristic calculation processing means 63a. . This efficiency calculation process is calculated for all sub-plants.

Next, the overall efficiency calculation processing means 64 calculates the efficiency of the entire combined energy plant from the plant efficiency of these sub-plants, thereby evaluating the energy output amount in the shared state.

With such a procedure, the overall plant efficiency is calculated for all possible energy output amounts. Among them, the load distribution value calculation processing unit 66 outputs the distribution share of the energy output amount that maximizes the overall plant efficiency as the predicted load distribution value.

The obtained predicted load distribution value is passed to the operation guide creation processing section 18. The operation guide creation processing unit 18 compares the current load state received from the process input processing unit 6 with the predicted load distribution value obtained as described above for each sub-plant, thereby obtaining the predicted load distribution value. A process for obtaining such a driving operation method is performed.

This operation method is notified to the operator through the display output processing section 9 by the display 5.

As described above, the future energy consumption is predicted using the past operation result data, the operation plan data of the energy consuming equipment of the day, and the current value of the process received from the process input processing unit 6. Next, the efficiency of the entire plant is calculated for all the cases of the energy output sharing for each sub-plant that can be considered when the combined energy plant 1 outputs the predicted energy consumption. In this way, among the energy shares for all the sub-plants, the one with the highest plant efficiency is found.

Next, by calculating the difference between the operating state capable of outputting the energy for each sub-plant determined as described above and the current actual operating state, the operating operation method to be performed by the operator is determined.

Here, by instructing the operator on the operation method determined by the driving support device, the operator can easily operate the combined energy plant in the highest efficiency state.

As described above, according to the second embodiment, the total energy consumption for each current energy is obtained based on the plant data, and the energy type is calculated based on these data, future operation plan data, and past operation result data. A future load forecast is required for each. Further, based on the obtained future load prediction and the characteristic data of the sub-plant, the load amount and the energy type to be shared for each sub-plant are calculated as the predicted load distribution value so that the overall efficiency becomes highest. Then, the contents of the driving operation are notified so that the calculated predicted load distribution value can be realized. This allows the operator to operate with high efficiency at the present time by operating in accordance with the notified driving operation details, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. Can be reduced.

FIG. 14 is a block diagram of a driving support system according to a third embodiment of the present invention.
In the system comprising the energy consuming equipment 2 and the driving operation panel 3, the driving support device 4 is provided, so that the operator can display drivingly meaningful driving support information on the display 5 for the operator.

The operation support device 4B includes a process input processing unit 6, a sub-plant characteristic data table 10, a past operation result data table 12, an energy consumption equipment operation plan table 13, a load distribution calculation processing unit 7, and a load prediction processing unit 1.
1, an operation guide creation processing unit 8 and a display output processing unit 9.

The past operation result data table 12 stores a factor item that causes an increase or a decrease in energy consumption and past operation result data corresponding to the factor item. The energy consumption equipment operation plan table 13 stores energy consumption equipment plan data. The load prediction processing unit 11 is means for calculating the total energy consumption of each of the current energy types of the energy consuming equipment based on the plant data taken from the process processing unit. A future load prediction for each energy type is performed based on the total energy consumption, the operation plan data for a certain period in the future extracted from the energy consumption equipment operation plan data table, and the past operation result data extracted from the past operation result data table. Means. The load distribution calculation processing unit 7 performs a calculation for each sub-plant so that the efficiency is highest for a certain period based on the future load prediction for each energy type obtained by the load prediction processing unit 11 and the characteristic data of the sub-plant. Is calculated as a predicted load distribution value for a certain period of time.

The load prediction processing unit 11 predicts a future energy load using the past operation result data table 12 and the energy consuming equipment operation plan table 13 as shown in FIG.

The actual operation data search processing means 56 refers to the operation plan of the day and finds out how many operation results of the plant on the day when the same load of the energy consuming equipment 2 was loaded in the past from the past operation result data table 12. Or search. Then, among them, the operation result data having the closest load state or fluctuation is selected.

Next, the operation data correction processing means 57
Current load amount 59 received from the process input processing unit 6
(a) Using various current values such as the current temperature value 59b, processing is performed in which special factors of the day that are not covered in the operation plan are added to the prediction. In this way, the energy consumption of the energy consuming equipment 2 on the day is predicted.

Next, as shown in FIG. 15, the load distribution calculation processing unit 7 receives the predicted value of the load from the load prediction processing unit 11, and the combined energy plant 1, which is an aggregate of several sub-plants, The energy output amount for each sub-plant that efficiently realizes this energy output amount is obtained.

That is, the predicted load amount (power) 67a received from the load prediction processing unit 11 over a certain period (24 hours) is allocated to each sub-plant by the power production amount dividing processing means 68a. Similarly, regarding the predicted load amount (steam) 67b, the steam production amount division processing means 68
At b, allocation is performed. Other energy ** is also allocated. At that time, for example, in order to produce cold water in a certain sub-plant, it may be necessary to consume steam produced in another sub-plant. In consideration of the increased energy, the respective allocation / sharing processes are performed such that the amount of energy output to the energy consuming equipment 2 becomes the current value of the load.

Next, as described above, the equipment efficiency calculation processing means 69a calculates the plant efficiency in the case of producing all the energy including electric power and steam allocated to the subplant A to the subplant. . This efficiency calculation process is calculated for all sub-plants. When the allocated energy is zero and the operation of starting and stopping the sub-plant is involved, the cost related to the operation is also considered in the efficiency calculation.

Next, the overall efficiency calculation processing means 70 calculates the efficiency of the entire complex energy plant from the plant efficiencies of these sub-plants, thereby evaluating the energy output amount in the shared state.

With such a procedure, the overall efficiency of the plant is calculated by the total efficiency maximum value calculation means 71 for all possible energy output amounts. Among them, the load distribution value calculation processing means 72 outputs the distribution share of the energy output amount that maximizes the overall plant efficiency.

Here, in particular, a case where the predicted value of the load greatly fluctuates in a short time and the start / stop operation of the sub-plant is accompanied will be described.

For example, when the predicted steam demand of the energy consuming equipment 2 fluctuates as indicated by A1 in FIG. 16 and this steam amount is produced in the sub-plants A, B, and C, the load split 1 (see FIG. B1 to B3) and load division 2 shown in FIG.
Consider (C1 to C3). In the load division 1 of FIG. 17, the low-load sub-plants B and C are stopped, but in the load division 2 of FIG. 18, all the sub-plants continue to operate at a low load.

FIG. 16 shows the plant equipment characteristics of the sub-plant.
When the plant efficiency is higher as the output steam amount is larger and the plant efficiency is higher, the load division 1 can be said to be a more preferable operation method when only the time t1 is considered. Considering that a large cost is required, it is understood that the operation method of the load division 2 is actually more desirable. In this way, the load distribution calculation processing unit 7 finds the best driving method over a certain period.

The obtained current load distribution value is passed to the operation guide creation processing unit 8. The operation guide creation processing unit 8 compares the current load state received from the process input processing unit 6 with the load distribution value for a certain period obtained as described above for each subplant, thereby obtaining the load distribution value. A process for obtaining a driving operation method that becomes

This operation method is notified to the operator through the display output processing section 9 by the display 5.

As described above, the energy consumption for a certain period in the future is predicted using the past operation result data, the operation plan data of the energy consuming equipment of the day, and the current value of the process received from the process input processing unit. . Next, the efficiency of the entire plant is calculated for all cases of energy output sharing for each sub-plant that can be considered when this predicted energy consumption is output by this combined energy plant. In this way, among the energy shares for all the sub-plants, the most plant-efficient share is found throughout a certain period in the future.

Next, by calculating the difference between the operating state capable of outputting the energy for each sub-plant determined as described above and the current actual operating state, the operating operation method to be performed by the operator is determined.

As described above, according to the third embodiment, a load prediction for a certain period for each energy type is obtained from the current total energy consumption for each energy type, future operation plan data, and actual operation data. Next, a load prediction for a certain period for each energy type is obtained, and based on the load prediction for the certain period and the characteristic data of the sub-plant, the load to be shared by each sub-plant so that the overall efficiency is highest in the certain period. The quantity and the energy type are calculated as predicted load distribution values. Then, the operator is notified of the details of the driving operation for realizing the calculated predicted load distribution value for the certain period. This allows the operator to operate with high efficiency for a certain period of time by operating in accordance with the notified operation details of the operation, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. Can also be reduced.

FIG. 19 is a block diagram of a driving support system according to a fourth embodiment of the present invention.
In the system including the energy consuming equipment 2 and the driving operation panel 3, the driving support device 4C is provided, so that the operator can display drivingly meaningful driving support information on the display 5 for the operator.

The driving support device 4C includes a load prediction processing unit 11
The operation plan is reviewed before the predicted load value exceeds the combined energy suppliable capacity by comparing each predicted load value for each energy type obtained by the above with the combined energy suppliable capacity.

The load prediction processing unit 11 predicts a future energy load using the past operation result data table 12 and the energy consuming equipment operation plan table 13 as shown in FIG.

The actual operation data search processing means 56 refers to the operation plan of the day and finds out the number of operation results of the plant on the day when a similar load was imposed on the energy consuming equipment 2 from the past operation result data table 12. Or search. Then, among them, the operation result data having the closest load state or fluctuation is selected. Next, the current load amount 5 received from the process input
Using various current values such as 9a and the current temperature value 59b, a process is performed in which special factors of the day that are not covered in the operation plan are added to the prediction. In this way, the energy consumption of the energy consuming equipment 2 on the day is predicted.

The obtained predicted load value is compared with the supply capacity of the combined energy plant 1, and if the predicted load value is larger, an alarm is output. The predicted load value and the alarm are notified to the operator via the display output processing unit 9 on the display unit 5.

The operator knows the predicted load value and the warning through the screen, and when the warning is output, can change the operation plan of the energy consuming equipment 2 in advance.

Thus, the energy consumption for a certain period in the future is predicted using the past operation result data, the operation plan data of the energy consuming equipment of the day, and the current value of the process received from the process input processing unit. Next, it is determined whether or not the predicted energy consumption exceeds the maximum value that can be output by the combined energy plant, and in the case where the predicted energy consumption exceeds the maximum value, the operator is instructed so that the energy consumption is not exceeded in advance. The operation plan can be changed as follows.

As described above, according to the fourth embodiment, the predicted load value for each energy type is compared with the suppliable capacity of the composite energy plant, and the predicted load value is reviewed so as not to exceed the suppliable capacity of the composite energy plant. Is done. As a result, the situation where the actual load value exceeds the supply capacity of the combined energy plant is avoided, and immediately before the load value is exceeded, the load amount is sharply reduced to lower the plant efficiency, or the energy consuming equipment is greatly affected. Can be prevented.

FIG. 20 is a block diagram of a driving support system according to a fifth embodiment of the present invention.
In the system including the energy consuming equipment 2 and the driving operation panel 3, the driving support device 4D is provided, so that the operator can display drivingly meaningful driving support information on the display 5 for the operator.

The operation support device 4D has a load condition rearranging processing unit 15, and uses the actual load amount of each sub-plant and the characteristic data of each sub-plant in the sub-plant characteristic data table 10 to supply the remaining capacity of each sub-plant. Is calculated according to the energy type.

Using the sub-plant characteristic data table 10 and the current sub-plant status received from the process input processing unit 6, the load status reduction processing unit 15 calculates the current sub-plant status in detail. The status of the sub-plant is notified to the operator via the display output processing unit 9 on the display 5.

FIG. 21 shows an example of the steam output displayed on the display 5. The special graph of D1 in the drawing shows the current values of the steam amount output to the energy consuming equipment for the sub-plant A, the steam amount passed to the other sub-plants, and the output surplus amount. The line graph on the right side shows the efficiency of the sub-plant in each steam output state.

When the operator looks at the graph of D1,
At a glance, not only the plant efficiency in the current operation state of the sub-plant but also the effect on the efficiency when the load is increased or decreased from the current load state can be grasped.

The graph of D3 is a similar graph relating to the whole plant, and by comparing this with the graph of each subplant, it is possible to see at a glance which subplant is pulling the whole leg in terms of efficiency. .

The operator can easily grasp the plant state necessary for operating the plant with high efficiency. As described above, using the current value of the process and the characteristic data of the subplant received from the process input processing unit 6, the current actual operating state of each subplant, the remaining energy output of each subplant, and the efficiency of the subplant are determined. calculate.

Next, by displaying to the operator the operating state that can output the energy for each sub-plant determined as described above and the current actual operating state, the operator can easily operate the current operation of the combined energy plant. The state can be grasped.

As described above, according to the fifth embodiment, each actual load corresponding to the current energy type is calculated for each sub-plant, and the available supply capacity of each sub-plant is calculated from this and the characteristic data of the sub-plant. The calculated actual load amount and the remaining supply amount are notified to the operator. Thus, the actual load amount and the surplus supply amount of the combined energy plant can be known, so that the operator can accurately grasp the operation state.

FIG. 22 is a view showing a sixth embodiment of the present invention. The sixth embodiment is a combination of the first to fifth embodiments.

According to this embodiment, a load prediction for each energy type is obtained from the current total energy consumption for each energy type, future operation plan data and actual operation data. Next, a load prediction for each energy type is obtained, and based on the load prediction and the characteristic data of the sub-plant, the load amount and the energy type assigned to each sub-plant are estimated load distribution so that the overall efficiency becomes highest. It is calculated as a value. Then, the details of the driving operation for realizing the calculated predicted load distribution value are notified to the operator. This allows the operator to operate with high efficiency by operating in accordance with the notified operation operation details, and furthermore, high efficiency operation can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced. .

Further, the predicted load value for each energy type and the suppliable capacity of the composite energy plant are compared, and the predicted load value is reviewed so as not to exceed the suppliable capacity of the composite energy plant. As a result, the situation where the actual load value exceeds the supply capacity of the combined energy plant is avoided, and immediately before the load value is exceeded, the load amount is sharply reduced to lower the plant efficiency, or the energy consuming equipment is greatly affected. Can be prevented.

Further, each actual load corresponding to the current energy type is calculated for each sub-plant, and the surplus supply capacity of each sub-plant is calculated from this and the characteristic data of the sub-plant. The remaining supply amount is notified to the operator. Thus, the actual load amount and the surplus supply amount of the combined energy plant can be known, so that the operator can accurately grasp the operation state.

[0095]

As described above, according to the first aspect of the present invention, the load amount and the energy type assigned to each sub-plant are calculated as load distribution values so that the total efficiency becomes highest at the present time. Since the operator is notified of the contents of the driving operation for realizing the load distribution value, highly efficient driving can be performed without relying on intuition and experience as in the related art, and the burden on the operator can be reduced.

According to the second aspect of the present invention, the load and energy type assigned to each sub-plant are calculated as predicted load distribution values so that the total efficiency is maximized, so that the predicted load distribution values can be realized. Since the details of the driving operation are announced, highly efficient driving can be performed at the present time, and the highly efficient driving can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced.

According to the third aspect of the present invention, the load and the energy type assigned to each sub-plant are calculated as a predicted load distribution value so that the total efficiency is highest in a certain period, and the predicted load distribution value is calculated. Since the details of the driving operation to be realized are announced, highly efficient driving can be performed in a certain period, and highly efficient driving can be performed without relying on intuition and experience as in the past, and the burden on the operator can be reduced.

According to the fourth aspect of the present invention, since the predicted load value is reviewed so as not to exceed the suppliable capacity of the combined energy plant, a situation where the actual load value exceeds the suppliable capacity of the combined energy plant is avoided. It is also possible to prevent a sudden decrease in the load immediately before the overrun, thereby lowering the plant efficiency or preventing the energy consuming equipment from being severely damaged.

According to the fifth aspect of the present invention, the surplus supply amount of each sub-plant is calculated, and the actual load amount and the surplus supply amount are notified to the operator, so that the operator can accurately grasp the operation state.

According to the sixth aspect of the present invention, highly efficient operation can be performed without relying on intuition and experience as in the prior art, and the burden on the operator can be reduced. In addition, it is possible to avoid a situation where the actual load value exceeds the supply capacity of the combined energy plant, and to immediately reduce the load immediately before exceeding the load to reduce plant efficiency, or to have a large impact on energy consuming equipment. Can be prevented. Further, since the actual load amount and the surplus supply amount of the combined energy plant are known, the operator can accurately grasp the operation state.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a driving support device according to a first embodiment of the present invention.

FIG. 2 is an explanatory diagram illustrating a process of a load distribution calculation processing unit provided in the driving support device of FIG. 1;

FIG. 3 is an explanatory diagram showing processing of a subplant A in FIG. 2;

FIG. 4 is an explanatory diagram showing processing of a subplant B in FIG. 2;

FIG. 5 is an explanatory diagram showing processing of a subplant C in FIG. 2;

FIG. 6 is an explanatory diagram showing the processing of FIG. 2;

FIG. 7 is an explanatory diagram showing a process of an operation guide creation processing unit provided in the driving support device of FIG. 1;

FIG. 8 is a display example of a subplant A displayed on the display of FIG. 1;

FIG. 9 is a display example of a sub-plant B displayed on the display of FIG. 1;

FIG. 10 is a display example of a subplant C displayed on the display of FIG. 1;

FIG. 11 is a configuration diagram of a driving support device according to a second embodiment of the present invention.

FIG. 12 is an explanatory diagram illustrating a process of a load prediction processing unit provided in the driving support device of FIG. 11;

FIG. 13 is an explanatory diagram illustrating a process of a load distribution calculation processing unit provided in the driving support device of FIG. 11;

FIG. 14 is a configuration diagram of a driving assistance device according to a third embodiment of the present invention.

FIG. 15 is a first explanatory diagram showing a process of a load distribution calculation processing unit provided in the driving support device of FIG. 14;

FIG. 16 is a second explanatory diagram illustrating the processing of the load distribution calculation processing unit provided in the driving support device of FIG. 14;

FIG. 17 is a third explanatory diagram showing the processing of the load distribution calculation processing unit provided in the driving support device of FIG. 14;

FIG. 18 is a fourth explanatory diagram showing the processing of the load distribution calculation processing unit provided in the driving support device of FIG.

FIG. 19 is a configuration diagram of a driving assistance device according to a fourth embodiment of the present invention.

FIG. 20 is a configuration diagram of a driving support device according to a fifth embodiment of the present invention.

FIG. 21 is an explanatory diagram illustrating a process of a load state arrangement processing unit provided in the driving support device of FIG. 20;

FIG. 22 is a configuration diagram of a driving assistance device according to a sixth embodiment of the present invention.

FIG. 23 is a configuration diagram showing a conventional example.

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 combined energy plant 2 energy consuming equipment 3 operation control panel 4 operation support device 5 display 6 process input processing unit 7 load distribution calculation processing unit 8 operation guide creation processing unit 9 display output processing unit 10 sub-plant characteristic data table 11 load prediction Processing unit 12 Past operation result data table 13 Energy consumption equipment operation plan table 15 Load state arrangement processing unit

Claims (6)

[Claims] 1. An operation support apparatus for assisting the operation of a complex energy plant including a plurality of sub-plants for producing and supplying various types of energy to energy consuming equipment that consumes various types of energy such as electric power and steam. A process input processing unit that captures plant data from the combined energy plant and the energy consuming equipment; a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant; and the process input processing unit Means for calculating the total energy consumption for each current energy type of the energy consuming equipment based on the plant data taken in from the apparatus; and the current total energy consumption for each energy type and the characteristic data of the sub-plant obtained by this means. At the moment based on A load distribution calculation processing unit that calculates a load amount for each type of energy shared by each sub-plant as a load distribution value so that the efficiency is highest, and a load distribution value calculated by the load distribution calculation processing unit. A driving support device comprising: an operation guide creation processing unit that automatically drives the vehicle to obtain the details of the driving operation required for the operation or notifies the operator of the driving operation. 2. An operation support device for operating and supporting the operation of a complex energy plant comprising a plurality of sub-plants for producing and supplying the various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from the combined energy plant and the energy consuming equipment; a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant; and a change in energy consumption. A past operation result data table that stores past operation result data according to the factor item that is a factor, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Based on the data Means for calculating the total energy consumption of each energy type of the energy consuming equipment, and the total energy consumption for each current energy type obtained by this means and the future operation extracted from the energy consumption equipment operation plan data table. A load prediction processing unit comprising means for predicting a future load for each energy type from the plan data and the past operation result data extracted from the past operation result data table; and an energy type obtained by the load prediction processing unit. A load distribution calculation processing unit that calculates, as a predicted load distribution value, a predicted load distribution value to be shared for each sub-plant so that the overall efficiency is highest on the basis of future load prediction for each sub-plant and characteristic data of the sub-plant. And a driving operation required to realize the predicted load distribution value calculated by the load distribution calculation processing unit. A driving support device comprising: an operation guide creation processing unit that automatically drives the vehicle to determine the driving condition or notifies the operator. 3. An operation support device for operating and supporting the operation of a complex energy plant comprising a plurality of sub-plants for producing and supplying the various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from the combined energy plant and the energy consuming equipment; a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant; and a change in energy consumption. A past operation result data table that stores past operation result data according to the factor item that is a factor, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Based on the data Means for calculating the total energy consumption of the current energy type of the energy consuming equipment, the total energy consumption for each current energy type obtained by this means, and the future operation plan extracted from the energy consumption equipment operation plan data table A load prediction processing unit comprising: means for predicting a load for a certain period for each energy type from data and past operation result data extracted from the past operation result data table; and an energy type obtained by the load prediction processing unit. Based on the load prediction for each fixed period and the characteristic data of the sub-plant, the time-series predicted load distribution value to be shared by each sub-plant so that the efficiency for the fixed period becomes the highest overall based on the predicted load for the fixed period. A load distribution calculation processing section that calculates the distribution value, and a predetermined period of time calculated by the load distribution calculation processing section. A driving support device comprising: an operation guide creation processing unit that notifies an operator of the contents of a driving operation necessary to realize a measured load distribution value. 4. A method for comparing an estimated load value for each energy type obtained by the load prediction processing unit with a composite energy suppliable capacity to determine an operation plan before the predicted load value exceeds the composite energy suppliable capacity. The driving support device according to claim 2 or 3, wherein the driving support device is reviewed. 5. An operation support device for operating and supporting the operation of a complex energy plant comprising a plurality of sub-plants for producing and supplying the various types of energy to energy consuming equipment consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from the combined energy plant and the energy consuming equipment; a sub-plant characteristic data table that stores characteristic data for each sub-plant of the combined energy plant; and the plant input processing unit Means for calculating each actual load corresponding to the current energy type in the sub-plant based on the plant data taken from, and each actual load for each sub-plant obtained by this means and the sub-plant characteristic data table From each sub-plant's characteristic data And a load state arrangement processing unit comprising means for calculating the remaining supply capacity of the plant according to the energy type and means for notifying the operator of the remaining supply capacity of each plant for each energy type. . 6. An operation support device for operating and supporting the operation of a complex energy plant including a plurality of sub-plants for producing and supplying the various types of energy to energy consuming facilities consuming various types of energy such as electric power and steam. A process input processing unit that captures plant data from the combined energy plant and the energy consuming equipment; a subplant characteristic data table that stores characteristic data for each subplant of the combined energy plant; and a change in energy consumption. A past operation result data table that stores past operation result data according to the factor item that is a factor, an energy consumption equipment operation plan data table that stores energy consumption equipment operation plan data, and a plant imported from the process processing unit Based on the data Means for calculating the total energy consumption of the current energy type of the energy consuming equipment, the total energy consumption for each current energy type obtained by this means, and the future operation plan extracted from the energy consumption equipment operation plan data table A load prediction processing unit comprising: means for predicting a load for each energy type from the data and past operation result data extracted from the past operation result data table; and a load for each energy type obtained by the load prediction processing unit. Based on the prediction and the characteristic data of the sub-plant, a time-series predicted load distribution value shared by each sub-plant is calculated as a predicted load distribution value for a certain period so that the efficiency for a certain period is the highest overall. A load distribution calculation processing unit; and a prediction load value for each energy type obtained by the load prediction processing unit. The operation plan is reviewed before the predicted load value exceeds the combined energy suppliable capacity by comparing the combined energy suppliable capacity with each actual load amount for each subplant and each subload in the subplant characteristic data table. A load state rearranging processing unit comprising means for calculating the remaining supply capacity of each sub-plant from the characteristic data of the plant according to the energy type, and operating operation information obtained by each processing unit is created as an operation guide. A driving support device comprising: an operation guide creation processing unit that notifies an operator.