KR101767368B1 - Supporting method and system of sewage disposal for energy saving - Google Patents

Abstract

The present invention relates to a method and system for supporting the operation of a sewage treatment plant for energy saving using standardized process operation data and process simulation, and more particularly to a method and system for supporting the operation of a sewage treatment plant, From the process operation data, we derive the third quartile representing the distribution characteristics of each data item, set new operating conditions to save energy, and process it according to new operating conditions through process simulation composed of mathematical model A method of supporting the operation of the sewage treatment plant for energy saving by using standardized process operation data and process simulation that can confirm the occurrence of disturbance of the effluent by operation and obtain the optimum energy saving effect within the range of allowable effluent quality and ≪ / RTI >

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method of operating a sewage treatment plant for energy saving using standardized process operation data and process simulation,

The present invention relates to a method and system for supporting the operation of a sewage treatment plant for energy saving using standardized process operation data and process simulation, and more particularly to a method and system for supporting the operation of a sewage treatment plant, From the process operation data, we derive the third quartile representing the distribution characteristics for each data item, set new operating conditions to save energy, and process it according to new operating condition through process simulation composed of mathematical model A method of supporting the operation of the sewage treatment plant for energy saving by using standardized process operation data and process simulation that can confirm the occurrence of disturbance of the effluent by operation and obtain the optimum energy saving effect within the range of allowable effluent quality and ≪ / RTI >

The most important factor affecting the energy consumption of the sewage treatment plant is aeration of the biological reactor, which is frequently reported to account for more than 50% of the total energy consumption. The aeration flow rate in the bioreactor is greatly influenced by the organic matter and the total nitrogen concentration and the flow rate in the influent water since it is operated so that the aeration amount of the organic matter contained in the influent water is oxidized and the ammonia nitrogen is supplied to the nitrate source. . Therefore, if the aeration capacity of the wastewater treatment plant is insufficient, it can not be guaranteed stable water quality. Therefore, it has been recognized that it should always be supplied in sufficient quantity, and at the same time, it has been pointed out as a main cause of the energy consumption of the sewage treatment plant.

Another major factor is the amount of pump operation, which is largely influenced by the influent flow, which is generally determined by the weather conditions and the characteristics of the treatment area. In general, the concentrated sludge in the secondary settler is returned to the bioreactor at a flow rate multiplied by a certain ratio to the influent flow rate, and the flow rate of the nitrate return from the anaerobic tank to the anoxic tank in the bioreactor is determined by the same method. The influent flow rate and the fluctuating amount of pump operation have a great influence on the energy consumption of the sewage treatment plant.

As the social interest in energy conservation has increased, there have been reported cases in which the energy consumed in the sewage treatment plant is reduced to the utmost by utilizing the digestion gas obtained from the proper operation of the digester in the sewage treatment plant as an energy source. In addition, the application of new and renewable energy to the sewage treatment plant, such as the use of solar power by building a solar cell system on the aeration tank of the sewage treatment plant, or the application of small hydroelectric power when a drop of a certain height occurs in the effluent outlet of the sewage treatment plant It has also been reported actively.

In order to reduce the energy consumption of wastewater treatment plant, it is actively reported that the process of conversion of ammonia nitrogen into nitrate nitrogen is reduced, so that the process of anaerobic digestion And the concept of a fuel cell capable of generating electricity by moving electrons generated in the electrode through the electrode has been introduced.

However, these schemes do not take into account the possibility of energy savings through optimization of the operation in the sewage treatment plant based on activated sludge process currently installed and operated. Application of new and renewable energy and improvement of process have disadvantages such as recovering initial investment cost until energy saving effect is obtained. Therefore, measures should be taken to maximize energy savings without additional facilities or process improvement projects.

Until now, the sewage treatment process has focused only on the production of effluent water in compliance with the effluent water quality regulations. Since all operating conditions have been set and operated solely for the purpose of producing a stable level of effluent quality, modifying the operating conditions for energy conservation can not identify the degree of disturbance of the effluent water resulting therefrom, .

Korean Patent Publication No. 10-2009-0078502 (published on July 20, 2009)

In order to solve the above problems, the present invention has been made to solve the above problems, and it is an object of the present invention to provide a driving method for detecting energy consumption of a sewage treatment plant, , Which determines which operating variables should be adjusted first based on the size of the standardized values and confirms whether there will be disturbance of the runoff quality due to the adjustment of the operating variables using a mathematical model, The purpose is to do.

The operation support system for the energy saving sewage treatment plant using the standardized process operation data and the process simulation according to the present invention is a system for operating the main operation of the water quality item, water temperature, sewage treatment facility representing the influent flow rate and inflow water quality of the sewage introduced into the sewage treatment plant A data storage unit for storing the daily average value of the variables, the outflow water quality item, the standardized value of each item, the standardization reference value of each item necessary for standardizing the data, and the energy consumption value of each item for sensing the energy consumption status ; A data input unit for transmitting a value generated daily for each item to a data storage unit; A reference generator for generating a third value of the updated standardization reference value by uploading the standardization reference value as a comparison value; An energy consumption condition sensing unit for sensing an energy consumption state using the stored energy consumption value; A cause search unit for searching the cause of the process operation variable or influent item affecting the energy consumption when the energy consumption state is high, by a predetermined rule; An alternative generating unit for setting a control amount by selecting a variable whose standardized score is equal to or larger than a predetermined value in adjusting an operation variable according to the discovered cause; A process simulator that simulates the effects on the sewage treatment performance when the process is operated according to the selected alternative; An alternative decision unit for interpreting the process simulation results and determining an alternative to reduce energy within a range satisfying the target water quality; And an information display unit for transmitting an alternative to the driver.

In addition, the data input unit may include an inlet flow rate and a water temperature of a sewage treatment plant, a biological oxygen demand (BOD), a chemical oxygen demand (COD), a suspended solid (SS) The concentration of the influent and the effluent concentration of the effluent such as Nitrogen, TN and Total Phosphorus (TP) affect the processing performance of the process, and the aeration amount in the biological treatment process, which is also related to the energy consumption, The data of oxygen (Dissolved Oxygen), sludge transport flow rate, nitrate return flow rate, primary sludge flow rate and waste sludge flow rate are received from the driver or inputted from the automatic operation system and input to the data storage section.

Meanwhile, the data storage unit may upload the standardization reference value, transfer the accumulated data set to the reference generation unit, update the comparison values for sensing the reference values for data standardization and the energy over consumption status, and use the reference value and the comparison values Thereby standardizing each item.

로 하되, 상기

는 각 항목의 당면한 날의 측정값이고,

는 각 항목의 당면한 날이 포함된 누적자료들의 평균이며,

는 각 항목의 당면한 날이 포함된 누적자료들의 표준편차로 됨을 특징으로 한 것이다.The above-

,

Is the measured value of the current day of each item,

Is the average of cumulative data, including the day immediately preceding each item,

Is the standard deviation of the cumulative data including the current day of each item.

Meanwhile, the reference generator may calculate the average and standard deviation of each item data stored in the data storage unit, calculate the average and standard deviation of the item data stored in the data storage unit, calculate the influent flow rate affecting energy consumption and energy consumption, And the reference value for selecting the control variable for energy saving is set as the comparison value for diagnosing the energy over consumption condition.

Meanwhile, the energy consumption condition sensing unit may calculate an average by calling the energy consumption recorded in the corresponding period from the data storage unit at regular intervals, and compare the calculated average value with a comparison value for diagnosing the energy over consumption condition. And diagnoses that it is in a state of excessive energy consumption.

On the other hand, the cause search unit searches for the process operation parameters influencing energy consumption from the data storage unit at predetermined intervals, influent water flow rate, and standardized values of water quality data, In order to judge the variables having the standardized value above the third quartile as the most likely cause, two operating variables, aeration rate, return sludge flow rate, nitrate return flow rate and waste sludge flow rate, And the selection is made according to the rank.

In the case where a plurality of parameters are searched in the cause search unit, the alternative generation unit adjusts the selected parameters in the cause search unit to a certain ratio from the currently operated value, The sludge flow rate, and the sludge flow rate.

On the other hand, the process simulator uses a model composed of a set of differential equations to generate effluents of an activated sludge process called Activated Sludge Models, and calculates a mean value of past inflow water flow rate and inflow water quality from the present day Is used as an influent condition, and the effluent water quality is calculated by using the adjusted values of the process operation variables provided in the alternative generation unit.

Meanwhile, the alternative decision unit compares the effluent water quality predicted by the process simulator and the target water quality set in the sewage treatment facility, and if there is at least one item having a higher predicted water quality value than the target water quality, it is excluded from the alternative And if the various alternatives meet the target water quality, the alternative is transmitted to the information display unit except for the alternative where the variation of the process operation variable is the largest.

Meanwhile, the information display unit has a function of delivering the alternatives received from the alternative determination unit to the user, and the means of delivery can utilize an alarm message in an operating system or an SMS function of a mobile phone.

The method for supporting the operation of the sewage treatment plant for energy saving using the standardized process operation data and the process simulation according to the present invention includes a data input step (S110) for inputting the inflow flow rate, the concentration of influent component and the operation data from the sewage treatment plant; A reference value recalculating step (S120) of uploading an average and a standard deviation for each of the input data items as a standardization reference value, and uploading an energy consumption value of each item for detecting the energy consumption state and the standardization reference value that occurs every day; A standardization data generation step (S130) of generating an updated standardization reference value of each item as a comparison value of the standardization data (third quartile); An energy consumption condition sensing step (S140) of determining a size of a comparison value between the average value calculated by calling energy consumption amount data during a predetermined period and the standardized data; A step S150 of searching for a normalized value during a certain period of the process operation variables influencing the energy consumption and calculating an average to select two variables having the highest standardized value according to the priority; An alternative selection step (S160) of setting various alternatives by adjusting the current operation value of the selected variable in the cause search step (S150) or an average value between predetermined periods to a certain ratio; A step S170 of applying the selected alternative to a process model made up of a set of mathematical differential equations to virtually simulate the process effluent quality for the selected alternative; An alternative determination step (S180) of determining an alternative to be provided to the user except an alternative including the largest change amount among the alternatives satisfying the condition not exceeding the target water quality of the sewage treatment plant through the process simulation step; And the like.

The alternative selection step may include a parameter adjustment step (S161) of updating the parameters of the process model using the process influent water related items, the runoff water quality items, and the driving variable items accumulated for a predetermined period.

 By using the standardized process operation data and process simulation according to the present invention, it is possible to provide a method for supporting the operation of the sewage treatment plant for energy saving, and by energy saving method without disturbance of the effluent while adjusting operating variables secured from the sewage treatment plant, It is possible to secure an alternative to water quality and to save energy. In addition, priority is given to the variables that have the greatest effect on energy saving to control the operating variables, The alternative has the advantage and effect of avoiding major disturbances to the process through the act of presenting it to the driver, except for the alternative with the greatest adjustment.

1 is a block diagram illustrating a system for supporting an operation of a sewage treatment plant for energy saving using standardized process operation data and process simulation according to an embodiment of the present invention.
FIG. 2A is a configuration diagram showing a data preparation unit of the present invention. FIG.
2B is a block diagram showing a process simulation unit of the present invention.
FIG. 3 is a block diagram illustrating a method of supporting operation of a sewage treatment plant for energy saving using standardized process operation data and process simulation according to an embodiment of the present invention.
FIGS. 4A through 4G are views illustrating an embodiment of sensing an energy over-consumption state according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating an example of generating a standardization data, a third quartile, and a cause discovery step for selecting a control variable according to an exemplary embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, in adding reference numerals to constituent elements of each drawing, it should be noted that the same constituent elements are denoted by the same reference numerals even though they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

1 is a block diagram illustrating a system for supporting an operation of a sewage treatment plant for energy saving using standardized process operation data and process simulation according to an embodiment of the present invention.

1, an energy saving sewage treatment plant operation support system (A) using standardized process operation data and process simulation includes a data preparation unit 100, an energy consumption condition sensing unit 200, a cause search unit 300, An alternative generation unit 400, a process simulation unit 500, an alternative determination unit 600, and an information display unit 700.

The data preparation unit 100 collects daily flow data of the sewage treatment plant, the concentration of the influent component, the concentration of the outflow component, and the set value of the operation parameter, and standardizes each item to prepare and hold standardization data. And calculates and holds the third quartile as a reference for the selection of the operating parameters to be controlled as an alternative.

Referring to FIG. 2A, the data preparation unit 100 includes a data input unit 110, a data storage unit 120, and a reference generation unit 130. That is, the data input unit 110 calculates the influent flow rate and the influent component concentrations BOD5, CODMn, SS, TN, TP and the outflow component concentrations BOD5, CODMn, SS, TN, TP ), Process operation variable values (aeration rate, transport sludge flow rate, nitrate return sludge amount, waste sludge amount). The data storage unit 120 accumulates and stores the data of each item received from the data input unit 110. The reference generation unit 130 stores the newly input values in the data storage unit 120, The average value and the standard deviation value for each item are calculated every day and transmitted to the data storage unit 120. The data storage unit 120 uses the average value and the standard deviation value to calculate the average value and the standard deviation value for each item Generate and retain standardization data. The reference generator 130 calculates the third quartile of the energy consumption stored in the data storage unit 120 and the standardization value of each item generated through the standardization process and transmits the third quartile to the data storage unit 130 . The standardization procedure for each item is as follows.

<Formula 1>

는 각 항목의 당면한 날의 측정값이며,

는 각 항목의 당면한 날이 포함되어 누적된 자료들의 평균이고,

는 각 항목의 당면한 날이 포함되어 누적된 자료들의 표준편차이다.here,

Is the measured value of the current day of each item,

Is the average of the cumulative data including the current day of each item,

Is the standard deviation of the cumulative data, including the current day of each item.

Meanwhile, the reference generator 130 is an average and a standard deviation of each item stored in the data storage unit 120.

The energy consumption condition sensing unit 200 calculates an average by calling an energy consumption amount generated in the immediately preceding cycle from the data storage unit 120 with a predetermined period that is set in advance and outputs the calculated average value to the energy over- And comparing the comparison value with the comparison value, it is detected that there is an energy over consumption condition. In detail, it is preferable to calculate the average of the energy consumption amount of the last week from the data storage unit 120 every Monday, and diagnose the energy over consumption status based on the calculated value. The reference value used as a criterion for the determination is a third quartile derived from the energy consumption accumulation data. The reference value is calculated again every day by the reference generating unit 130 and is transmitted to the data storage unit 120 for storage do.

Meanwhile, the cause search unit 300 calls the values stored in the data storage unit 120 for the process operation parameters influencing the energy consumption of the immediately preceding cycle and the influent water flow rate and the water quality data, The results of this study are summarized as follows. Firstly, it is considered that the most probable cause is a variable having a value higher than the third quartile of the standardized score based on the calculated average value. The aquifers, the return sludge flow rate, The two operating variables of the sludge flow rates are selected in order of priority. In this case, the priority order is a rank given in order of variables having a large influence on the energy consumption, and it is preferable that the priority is set in the order of the aeration amount, the nitrate return sludge flow amount, the transport sludge flow amount, and the waste sludge flow amount.

Meanwhile, the alternative generation unit 400 generates an alternative using a method of adjusting the selected variable in the cause search unit 300 by 5% from the currently operated value. More specifically, an alternative is generated by simultaneously adjusting the two operation variables selected in the cause search unit 300 by 5%.

The process simulator 500 includes a differential equation for generating an effluent of an activated sludge process called Activated Sludge Models developed by the International Water Association (IWA) The average value of each of the seven past inflow water flow rates and influent water quality recorded from one day prior to the present day is used as the inflow condition and the controlled variable of the process operation variable provided in the alternative generation unit 400 The mathematical model used in this case is to use the design specifications of the sewage treatment plant and the operation data of at least one year to simulate the treatment performance of the sewage treatment plant similarly. And the model parameters are adjusted.

Referring to FIG. 2B, the process simulation unit 500 includes a process model unit 510 and a model parameter storage unit 520, and the process model unit 510 is a mathematical model And the model parameter storage unit 520 periodically calls the inflow water flow amount of the sewage treatment plant, the influent water quality items, the outflow water quality items, and the operation variable values from the data storage unit 120 And the parameter of the model is adjusted and held. The appropriate period of parameter adjustment is preferably one year.

The alternative decision unit 600 examines the effluent water quality predicted by the process simulator 500 by using an alternative provided in the alternative generation unit 400 and compares it with the target water quality set and operated in the corresponding sewage treatment facility In the case that there is at least one item with a higher quality water quality than the target water quality, it is excluded from the alternative. If the alternative water quality satisfies the target water quality, To the display unit.

Meanwhile, the information display unit 700 transmits the alternatives received from the alternative determination unit 600 to the user, and the means for delivering may utilize an alarm message in an operating system or an SMS function of a mobile phone .

Therefore, in the present invention, by standardizing the average and standard deviation of the accumulated operating data used for operating the target sewage treatment plant, the position of the current operating variable is represented, and the variable operated at a high level is selected In considering the measures to reduce energy consumption, a mathematical process model is used to simultaneously estimate the energy consumption of the process and the stability of the effluent water quality by simultaneously taking into consideration the effect on the effluent quality. It will be done.

Next, referring to FIG. 3, a description will be made of a method of operating a sewage treatment plant for energy saving using standardized process operation data and process simulation according to the present invention.

The method for supporting operation of an energy saving sewage treatment plant using standardized process operation data and process simulation according to the present invention includes a data input step S110, a reference value recalculation step S120, a standardization data generation step S130, An energy consumption condition sensing step S140, a cause search step S150, an alternative selection step S160, a process simulation step S170, and an alternative decision step S180.

First, the data input step (S110) of the present invention comprises inputting flow rate, inflow concentration and process operation data from a sewage treatment plant, that is, inflow flow rate and inflow component concentration (BOD5, CODMn, SS, TN, TP), the concentration of outflow components (BOD5, CODMn, SS, TN, TP), and the process operation variable values (aeration rate, transport sludge flow rate, nitrate return sludge amount and waste sludge amount).

In addition, the reference value recalculating step (S120) uploads the average and the standard deviation for each of the input data items to the standardization reference value, uploads the energy consumption value of each item for detecting the energy consumption state, and the standardization reference value generated every day .

The standardization data generation step (S130) generates the standardization standard value updated for each item as a comparison value of the standardization data (the third quartile), and based on the standardized data of each item and the energy consumption data, And a third quartile representing the distribution characteristics of the third quartile.

The energy consumption condition sensing step S140 is a step of determining a magnitude of a comparison value between the average value calculated by invoking the energy consumption amount data during a predetermined period and the standardization data and the average value calculated by calling the energy consumption amount data If it is larger or smaller than the third quartile, the process proceeds to a cause search step (S150), which will be described later. If it is small, the process is fed back to the data input step (S110) , Amount of nitrate return sludge, amount of waste sludge).

Next, in the cause search step (S150), the average value is calculated by calling a normalization value between predetermined periods of the process operation variables that affect the energy consumption, so that the two variables having the highest standardization value are relatively less energy It is possible to apply the process operation variable consumed.

 In the alternative selection step S160 of the present invention, various alternatives can be selected within a variation amount of up to 20% by adjusting the current operation value selected in the cause search step (S150) or the average value between predetermined periods by 5% , Thereby further increasing the energy saving efficiency. The alternative selection step S160 further includes a parameter adjustment step (S161) of updating the parameters of the process model using the process influent water related items accumulated in a predetermined period, the outflow water quality items, and the driving parameter items It goes without saying that the selection range for the alternative of the invention can be further extended.

The process simulation step S170 of the present invention applies the selected alternative to a process model made up of a set of mathematical differential equations to previously check the process runoff water quality for the selected alternative to reduce energy and deteriorate the water quality of the runoff .

In the alternative decision step S180 of the present invention, among the alternatives satisfying the conditions not exceeding the target water quality of the sewage treatment plant through the process simulation step, It is possible to provide variable values (aeration rate, transport sludge flow rate, nitrate return sludge amount, waste sludge amount).

Hereinafter, the method for predicting the influent flow rate and the influent component concentration in the sewage treatment plant referred to in the present invention will be described with reference to the embodiments.

First, a sewage treatment plant with a treatment capacity of about 500,000 m3 / day was selected as a target sewage treatment plant for proposing energy saving measures using sewage treatment plant and standardization data.

(Flow rate, BOD5, CODMn, SS, TN, and TP), effluent water quality data, and process operation variable values through the data input unit 110 at the target sewage treatment plant for 2014 And stored in the data storage unit 120. The reference generator 130 calculates an average and a standard deviation for each data item stored in the data storage unit 120 and stores the mean and the standard deviation in the data storage unit 120 as a reference value for calculating the standardization data, , The standard data is generated and retained using the recalculated and provided comparison values including the daily input data. The reference generator 130 calculates a third quartile of the energy consumption and transmits the calculated energy to the data storage unit 120, and the data storage unit 120 stores the third quartile.

FIG. 4A is a graph showing the relationship between the amount of electricity consumed (energy consumption) and the amount of energy consumed per unit time Quantile) of the population. At the beginning of the graph, in July 2014, the electricity consumption exceeding the reference value was detected by the energy consumption condition sensing unit 200.

FIGS. 4B to 4G show changes in the influent water quality data (flow rate, BOD5, CODMn, SS, TN, TP) from July 2014 to August 2014.

Then, in the cause search unit 300, the standardized value of the date of the operating variable that affects the amount of energy consumption stored in the data preparation unit 100 and the change thereof according to the third quartile of the standardized value are shown in FIG. 5 It will be called as shown.

As shown in FIG. 5, when the value of the standardized operating variable at the time when the energy over consumption condition is detected exceeds the third quartile of the item, it is selected as an alternative variable for reducing the energy consumption (value of 1 ). According to the embodiment shown in the above table, the energy oversupply detection period is from July 2 to 4 and from 8 to 23, and when the energy oversuppence detection is carried out every day, Therefore, the present invention must detect energy consumption with a certain period of time, since it may cause a large disturbance to the sewage treatment plant.

In addition, most of the regulated variables found due to the period of energy oversupply are influent flow. It is impossible to artificially control the flow rate at the sewage treatment plant, so that the alternative selection unit 400 performs adjustment of the selected aeration amount. The alternative selection unit 400 selects 5% lowering of the braking amount as the first alternative, 10% lowering as the second order, 15% lowering as the third order, and 20% lowering as the fourth alternative do.

Accordingly, the process simulator 500 simulates the change of the effluent caused when the aeration amount of the proposed aeration is applied to the wastewater treatment process, and changes the effluent as shown in Table 1 below.

Examples of process simulation results of the process simulation unit 500 BOD COD SS T-N T-P Initial value 0.2 5.8 One 9.402 0.142 Alternative 1 0.2 5.8 One 8.673 0.142 Alternative 2 0.4 6 One 8.541 0.168 Alternative 3 0.5 6.1 2 9.583 0.248 Alternative 4 0.7 6.2 2.5 10.438 0.312 Target water quality 3 7 3 10 0.25

Based on the results of the process simulation unit 500 as shown in Table 1 above, in determining the alternatives in the alternative decision unit 600, as described above, even if one item is compared with the target water quality, Alternative 4, which has a value greater than the TN target water quality of 10 mg / L in the sewage treatment plant, is excluded. Alternative 3 is excluded as described above for the purpose of avoiding a large adjustment of the control variables, although all items are present in the target water quality, and an alternative to be presented to the driver at the end is Alternative 2, The driver is advised to "drive 10% less".

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. Therefore, the embodiments disclosed in the present specification are intended to illustrate rather than limit the present invention, and the scope and spirit of the present invention are not limited by these embodiments. The scope of the present invention should be construed according to the following claims, and all the techniques within the scope of the present invention should be construed as being included in the scope of the present invention.

100: Data preparation unit
110: Data input unit 120: Data storage unit
130:
200: Energy consumption condition sensing unit
300:
400: alternative generation unit
500: Process simulation unit
510: process model unit 520: model mediator storage unit
600: alternative decision unit
700: information display section
S100: Data input step S110: Reference value recalculation step
S130: Standardized data generation step S140: Energy consumption condition detection step
S150: cause search step S160: alternative selection step
S161: Parameter adjustment step S170: Process simulation step
S180: Alternative determination step

Claims (13)

A data input unit for collecting data on each of the water quality items of the sewage flowing into / out of the sewage treatment plant and the main operation parameter items of the sewage treatment facility, and a data input unit for deriving and storing the average value and the standard deviation of each data as the standardization reference value A data storage unit for storing and storing energy predicted consumption values and a reference generator for generating a comparison value of a third quartile of the updated standardization reference value by uploading the standardization reference value;
An energy consumption condition sensing unit that senses an energy consumption state by utilizing the energy predicted consumption value;
A cause search unit for extracting a change range of the energy predicted consumption value by a change of the water quality item and the process operation variable item;
An alternative generation unit for changing the operation variable item to another operation variable item according to the change range of the energy prediction consumption value extracted by the cause search unit to set the adjustment amount for the energy prediction consumption value;
A process simulator for simulating the effect on the sewage treatment performance when the process is operated according to an alternative selected by the alternative generation unit;
An alternative decision unit for analyzing the process simulation result to determine an alternative that can reduce energy in a range satisfying a target water quality; And
And an information display unit for transmitting an alternative to the driver,
Wherein the data storage unit stores the average value and the standard deviation of each data,

(here,

Is the measured value of the current day of each item,

Is the average of the cumulative data including the current day of each item,

Is the standard deviation of the cumulative data, including the current day of each item.)
And the standardization value of each data by the standardized process operation data and the process simulation. The method according to claim 1,
The data input unit may include an inlet flow rate and a water temperature of a sewage treatment plant, a biological oxygen demand (BOD), a chemical oxygen demand (COD), a suspended solid (SS), a total nitrogen, TN), Total phosphorus (TP), influent concentration of effluent and concentration of effluent in the effluent, and the amount of aeration in the biological treatment process and the dissolved oxygen in the aerobic tank Dissolved Oxygen (DO), sludge transport flow rate, nitrate return flow rate, primary sludge flow rate, and waste sludge flow rate are received from the driver or received from the automatic operation system and input to the data storage section. Sewage treatment plant operation support system using energy and process simulation. delete delete The method according to claim 1,
The reference generator may calculate the average and standard deviation of each item data stored in the data storage unit, calculate a third quartile of the standardized reference value for the influent flow rate and various operating parameters that affect energy consumption and energy consumption And the reference value for selecting the control variable for energy saving is set as the comparison value for diagnosing the energy over consumption condition and the standardization process operation data and the process simulation for the energy saving sewage treatment plant operation support system. delete delete The method according to claim 1,
Wherein the alternative generation unit adjusts the selected parameter in the cause search unit to a predetermined ratio from the currently operated value, and when a plurality of parameters are searched in the cause search unit, the aeration amount, the nitrate return sludge flow amount, the return sludge flow amount, , And an alternative in which a maximum of two variables are simultaneously adjusted downward is created in the order of priority. The system for supporting the operation of the sewage treatment plant for energy saving using standardized process operation data and process simulation. The method according to claim 1,
The process simulator uses a model consisting of a set of differential equations to generate the effluent of an activated sludge process called Activated Sludge Models and calculates the mean value of each influent water flow rate and influent water quality from the current date And the effluent water quality is calculated using the adjusted values of the process operation variables provided in the alternative generation unit. The system for supporting the operation of the sewage treatment plant for energy saving using the standardized process operation data and process simulation. The method according to claim 1,
The alternative decision unit compares the effluent water quality predicted by the process simulator and the target water quality set in the sewage treatment facility to exclude the water quality predicted from the target water quality when there is at least one of the predicted water quality values, If alternatives satisfying the target water quality are satisfied, the selected alternative is transferred to the information display unit, except for the alternative where the variation of the process operation variable is the largest. The standardized process operation data and the process simulation are used for the energy saving sewage treatment plant Operational Support System. The method according to claim 1,
Wherein the information display unit transmits the alternatives received from the alternative decision unit to the user, and the means for delivering can utilize an alarm message in an operating system or an SMS function of a mobile phone, And Sewage Treatment Plant Operation Support System for Energy Saving Using Process Simulation. delete delete

Images