KR101532580B1 - Optimization System of Energy Network - Google Patents

Abstract

According to an embodiment of the present invention, an energy network optimization system that forms an energy network in a visual modeling environment and performs energy balance, simulation, and optimization using the energy network, performs energy balance and optimization, A ENeTOpt main module for script calculation and information management, an ENeTOpt section including an enthalpy, an energy balance, and an operation module for computing an optimization, a Visio section for providing a diagram of a user interface while being connected to the ENeTOpt section, an ENeTOpt An RDB unit for monitoring and storing data on enthalpy, energy balance, and optimization from the control unit, an RTDB unit for providing an interface to at least one equipment, and a data access interface unit for relaying the ENeTopt unit to the RTDB unit .

Description

Optimization System of Energy Network [0002]

The present invention relates to an energy network optimization system, and more particularly, to an energy network optimization system capable of constructing an energy network in a visual modeling environment and performing energy balance, simulation, and optimization using the ENeTOpt will be.

In general, energy networks are energy supply networks commonly found in industries such as petrochemicals, refining and chemical industries, and district heating, such as thermal-combined power generation. They are used to produce steam through boilers or furnaces, Heat supply and supply to external heat source, heat exchanger, flash tank, let down facility, and users.

Efficient management of the energy network was needed to meet the energy demand in the energy network and reduce the overall energy intensity. To reduce energy intensity, various methods should be applied such as efficient use of high-temperature high-pressure steam with high potential energy, efficient management of each energy use, improvement of efficiency of production equipment, and optimum distribution of steam.

Effective management of these energy networks requires precise calculation of energy production, consumption and loss, simulation of energy production or distribution due to changes in operating conditions or equipment, and optimization techniques for minimum unit costs. In this way, In order to apply the optimization technique, there is a problem that system configuration, change and maintenance are very difficult.

Korean Published Patent No. 10-2011-0035006 (April 4, 2011)

Intelligent Building Optimization Energy Management System Algorithm Implementation (2012)

The present invention has been conceived to solve the problems of the prior art as described above, and it is an object of the present invention to provide an energy management system capable of performing energy balance based on data reconciliation for accurate calculation of energy production and consumption in an energy network, , It is possible to simulate the new operation conditions according to the change of the energy production and the distribution change of the new operation condition, and the energy optimization of the energy network can be performed by using the power of each production and external link energy, It is an object of the present invention to provide an energy network optimization system capable of obtaining optimum operating conditions in consideration of the effects of power generation and energy distribution.

According to an embodiment of the present invention, there is provided an energy network system for constructing an energy network in a visual modeling environment and using the energy network to minimize energy balance, simulation, and operation unit cost,
An ENeTOpt main module 111 for performing internal balance management, script calculation, and information management for performing energy balancing to meet the energy consumption, minimizing the operation unit cost, energy balance of the energy network, An ENeTopt unit 110 including a computation module 121 for computing a minimum required enthalpy, an energy balance, and an overall operating unit; A Visio unit 130 connected to the ENeTopt unit and providing a user interface (UI) and providing a diagram design function; An RDB unit (relational database) 150 for receiving and monitoring data for minimizing enthalpy, energy balance, and overall operation unit load from the ENeTopt unit; An RTDB unit (real-time database) 170 for providing an interface to at least one device; And a data access interface unit (data link interface) 190 serving as a relay for connecting the ENeTopt unit 110 to the RTDB unit 170,
The ENeToPT main module 111 is connected to the Visio part, the RDB part, the RTDB part, and the data access interface part, and controls and manages the information of each component
A module manager (module manager) 113; An Automation (Automation) 115 and an RTDB interface, which performs the energy balancing and the entire operation unit at a minimum in a predetermined period according to a preset cycle, a Variable Handler 117)
The calculation module 121 includes a steam table 123 for calculating enthalpy; A QP solver (secondary programming method) 125 for computing the energy balance; And a MILP Solver (Mixed Integer Linear Programming) 127 for computing the total operating unit cost to be minimum,
The ENeTopt unit 110 creates an energy network using a drag-and-drop visual modeling in a multi-layered structure. Data is generated such that the energy balance and the operation unit are internally minimized, and the ENeTOpt The ENeTOpt Toolbar (a), which executes each function of ENeTOpt on the design screen, and the ENeTOpt Shape (b), which constitutes an element constituting the energy network,
The ENeTOpt Toolbar (a) consists of an ENeTOpt Version that displays the ENeTOpt version, an Interface Parameter that links and manages the data interface of the current project, a Database Parameter that manages SQL database connection information and attributes, (Database parameter), Calculate Total Balance to calculate the total energy balance, Calculate Total Balance by layer to calculate energy balance in units of layers, and Simulation by inputting the new operation condition of the equipment desired by the user Calculate Simulated Balance and Calculate Simulated Balance by layer to perform simulation in hierarchical unit (Layer unit), Optimize (Optimize) to perform minimum unit of operation under the current facility configuration and information and input constraint, And an energy balance and a driving unit level according to a frequency determined by the user Standard Deviation Manager that adjusts the weight of the flow using the standard deviation obtained by obtaining the standard deviation of the flow so that the energy balance result value is proportional to the variation range of the flow rate, Variable Manager that manages variables used in ENeTOpt by Import and Export functions in Excel, Tag Manager which manages all tags used in ENeTOpt, Default values that set the unit of measure and various parameters of ENeTopt, Data display to update the value of Data Display module, and Property Editor to display icon property window of selected network component. ≪ / RTI &
The ENeTopt Shape (b) is a flow that represents the flow of steam or condensate or fresh water, an Ethylene Cracking Heater (Furnace), an Extraction-Condensing Turbine, A heat pump that discharges heat at a low temperature by supplying electricity from the outside and discharges heat to a high temperature; a back pressure type turbine; a heat exchanger; a pressure header; a boiler; , Heat demand (Heat Demand), Let Down (Decompression facility) to supply the pressure of the steam from the Higher Pressure Header to maintain the pressure of the Pressure Header, Steam ) And Deaerator (air separator) which removes air from hot water, Import which is used to receive steam or condensate from external process, and steam or condensate to be connected with other process Export ), Combine to combine two steam flows (Steam Flow), Split to split Steam Flow (Steam Flow), Link to connect steam line (Steam Line) Loss, which defines a value for a steam loss that can not be done. Section, which calculates and manages the energy for a specific unit or plant unit by unit. ENeTOpt In a workspace, (Data Display) used for monitoring a plurality of devices, and a subprocess for configuring an ENeToTt in a multi-layer structure.

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The energy network optimization system according to an embodiment of the present invention can perform energy balance based on data reconciliation for accurate calculation of energy production and consumption in an energy network, and can perform a new operation And it can predict the energy production and distribution change of the new operating condition through this, and the unitary optimization of the energy network can be used for the production of power or power according to the unit of each production and external link energy, It is possible to obtain an optimum operating condition in consideration of the effects of the above-mentioned problems.

1 is a configuration diagram of an energy network optimization system according to an embodiment of the present invention;
2 is a simplified flow diagram of an energy network optimization system in accordance with an embodiment of the present invention.
Figures 3 to 53d are detailed flowcharts of an energy network optimization system according to an embodiment of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings, with reference to the parts necessary for understanding the operation and operation according to the present invention.

1 to FIG. 53d, an energy network optimization system 100 for constructing an energy network in a visual modeling environment and performing energy balance, simulation, and optimization using the energy network according to an embodiment of the present invention And includes an ENeTopt unit 110, a Visio unit 130, an RDB unit 150, an RTDB unit 170, and a data access interface unit 190.

The ENeTopt unit 110 includes an ENeTop main module 111 for performing internal variable management, script computation, and information management while performing energy balance and optimization, and a computation module 121 for computing enthalpy, energy balance, and optimization . The operation module 121 includes a Steam Table 123, a QP Solver 125, and a MILP Solver 127. The Steam Table 123 includes a Module Manager 113, an Automation 115, and a Variable Handler 117. [ ). A detailed description thereof will be described later.

The Visio unit 130 is connected to the ENeTopt unit 110 to provide a UI to provide a diagram design function. The Visio unit 130 can provide a user UI and a diagram design function so that the user can conveniently use the ENeTopt unit 110. [

The RDB unit 150 receives enthalpy, energy balance, and optimization data from the ENeTopt unit 110, and monitors and stores the data. The RDB unit 150 receives data on enthalpy, energy balance, and optimization, which are calculated data, in order to optimize the energy balance and can monitor and store the data in real time. At this time, data on enthalpy, energy balance, and optimization can be stored by classifying by date, time, place, and so on, but they can be stored as events.

The RTDB unit 170 provides an interface to at least one or more devices. The RTDB unit is substantially connected to a plurality of devices and can provide an interface to the devices actually connected.

The data access interface unit 190 serves as a relay for connecting the ENeTopt unit 110 to the RTDB unit 170. That is, the data access interface unit 190 is disposed between the ENeTopt unit 110 and the RTDB unit 170 and can perform RTDB access requests, read runtime data, and write calculation results.

The energy network optimization system 100 according to an embodiment of the present invention includes an ENeTOpt unit 110, a Visio unit 130, an RDB unit 150, an RTDB unit 170, (190), which can easily constitute an energy network, and efficiently perform energy balance, simulation, and optimization.

The ENE module main module 111 includes a module manager 113, an automation 115 and a variable handler 117. The operation module 121 includes a steam table 123, a QP solver 125, and a MILP solver 127 ).

That is, the module manager 113 in the ENeTop main module 111 is connected to the Visio module 130, the RDB module 150, the RTDB module 170, and the data access interface module 190 to control and manage information. The module manager 113 may be disposed in the ENeTopt unit 110 to manage information of each component constituting the energy network optimization system 100.

The automation 115 may preset and periodically perform energy balancing and optimization of the network according to a specified period. Such an automation 115 can set the energy balance of the network and the period for performing the optimization differently according to the environment. When the period is set, the energy balance and optimization of the network are automatically calculated by calculating the information provided regularly Can be performed.

Variable Handler 117 can control RTDB interface, internal variable management, and script.

The calculation module 121 includes a steam table 123, a QP solver 125 and a MILP solver 127. The steam table 123 can calculate enthalpy and the QP solver 125 calculates the energy balance And the MILP Solver 127 can compute the optimization. A detailed description thereof will be given while describing the operation.

The operation of the energy network optimization system according to an embodiment of the present invention described above is as follows.

Referring to FIG. 2, the operation of the energy network optimization system according to an embodiment of the present invention is briefly shown.

The ENeTopt unit 110 can configure the energy network in a visual modeling environment. As described above, when the ENeTopt unit 110 configures an energy network in a visual modeling environment, it is a program that can perform energy balance, simulation, and optimization using the energy network.

First, the ENeTopt unit 110 configures an energy network using Drag-and-drop visual modeling (S111). The material balance (S112), the energy balance (S113), the simulation (S114), and the optimization (S115). Here, the energy balance can be associated with enthalpy, entropy, saturation, properties, humidity, and issentropic relations of each flow of the energy network, and the simulation can be associated with each energy network model to improve the efficiency of the plant.

That is, the ENeTopt unit 110 configures each energy network component in a stencil based on the VISIO, and configures the energy network in the form of a drag-and-drop design screen. Here, since the energy network can be configured as a multi-layer, an overview of the whole process and each unit factory can be created in a multi-layer structure.

In addition, the energy network configured on the design screen can internally generate data for energy balancing and optimization automatically. This can be combined with the Calculation Solver to perform balancing and optimization.

Since the ENeTopt unit 110 is an Equation based instead of a Successive method, which is often used in a process simulator, it can be designed to obtain a solution at once without repeated calculation converging to an error range even in the case of a recycle flow.

Here, the energy balance can be set based on the data reconciliation technique and the QP (Quadratic Programming) to set the reconciliation weight according to the instrument accuracy of each energy flow.

Therefore, the reconciliation weight can be set according to the variance of each field value. For this, the ENeTopt unit 110 can calculate and reflect the standard deviation for the user-defined period for each field value.

Energy network optimizations can also use the MILP engine to handle integer variables such as On / Off of the energy configuration facility.

In addition, a multi-layered energy network can perform energy balancing and optimization for each layer or for the entire energy. It can be operated with the energy intensity of whole process of the energy network or each unit process of each layer, and user can set the boundary of specific process site and calculate it as energy intensity. Accordingly, the efficiency of the main equipment can be calculated in the energy balance calculation.

3 to 55r, the operation of the energy network optimization system according to an embodiment of the present invention is shown in order.

First, the ENeTopt part may include an ENeTopt toolbar (a), an ENeTopt Shape (b), and a Sub process tab (c) as shown in FIG. Here, ENeTOpt Toolbar (a) executes each function of ENeTOpt, and ENeTOpt Shape (b) consists of equipment elements constituting energy network. Sub process tab (c) can be a sub process network screen in multi-layer configuration.

The ENeTopt Toolbar (a) can be formed as a function for the icon configuration, the icon name, and the icon, as shown in FIG.

ENETOpt Version can display ENeTOpt version, Interface Parameter can configure and manage RTDB data interface such as OPC, PHD, Database Parameter can manage SQL Database connection information, and Calculate Total Balance can manage total energy network balance And Calculate Total Balance by layer can calculate the energy balance in units of layers.

In addition, Calculate Simulated Balance can perform simulation, and Calculate Simulated Balance by layer can perform simulation in layer unit.

In addition, Optimize can optimize the energy network, and Automation can automatically perform field data read / write, balancing and optimization according to the user-defined frequency.

In addition, Standard Deviation Manager can calculate and manage standard deviations of each flow, Variable Manager can define and manage variables used in ENeTOpt, and Tag Manager can manage all tags used in ENeTOpt.

 The default values can be set to the unit of measurement of the ENeTopt and the default values of various parameters, the data display updates the values of the Data Display module, and the Property Editor can display the properties window of the selected shape.

Referring to FIG. 5, in the interface parameter, not only can it be confirmed that the data interface of the current project is connected and modified, but also can be modified. At this time, Interface Parameter can connect with multiple interfaces (OPC, PHD, CIM-IO, PI, etc.).

In addition, as shown in FIG. 6, connection parameters and attributes for the SQL database can be defined in the database parameter. At this time, when the connection account information of SQL Server is input, Balance and Optimize result can be saved in SQL Database while register balance / Optimize Value to DB at the bottom is activated.

In the Calculate Total Balance, as shown in FIG. 7, it is possible to set a minimum value, a maximum value, a data reconciliation weight parameter, and a restriction condition for whether or not a fault gauge is required based on the current facility configuration. The energy balance can be calculated. The results can be saved as a separate Excel file.

At this time, Calculate Total Balance by layer function is substantially the same as Calculate Total Balance, but Balance object is different in that balancing is performed for each layer. Accordingly, the order in which the Calculate Total Balance by layer performs balancing can perform the Balance of each Sub Process after performing the Overview Balance.

As shown in Fig. 8, Optimize can perform optimization such that the total operating unit cost is minimized under the current facility configuration and information and input limit conditions.

At this time, Calculate Simulation Balance is able to perform simulation by inputting new operation condition of the equipment desired by the user in the present equipment configuration, not the value of the current field, but the function of Total Balance is substantially the same. Calculate Simulation Balance by Layer is calculated by Calculate Simulation You can perform operations on each layer while being substantially equal to the balance.

In addition, as shown in FIG. 9, in Automation, it is possible to set the data sampling rate, balancing, and optimization to be performed automatically at a predetermined frequency, and can be automatically performed when a desired frequency is selected and then started.

At this time, as shown in FIG. 10, the standard deviation of each field value can be used to determine a data reconciliation weight parameter when balancing is performed.

The Standard Deviation can be used to obtain the standard deviation of the flow so that the Balance result is proportional to the daily variation of the flow, and the Weight can be adjusted using the standard deviation thus obtained.

If the designated weight is w0, the standard deviation of the corresponding flow is s, and the newly adjusted weight is w1, the relationship between them is expressed by Equation 1 below.

In this manner, the balance is corrected using the standard deviation of the flow rate so that the balance value can be included in the existing variation width

The variable manager can define variables used in the program, as shown in FIG. 11A. These defined variables can then be used in energy network configurations.

That is, as shown in FIG. 11B, all the set variables have an import and export function in the form of Excel, so that it is possible to easily add or change many variables at once.

All the variables set here are displayed in Excel format using the function of "Excel". If you import and delete variables in the Excel file, the variables used in ENeTOpt can be automatically updated.

The Tag Manager can display a list of all RTDB TAGs (including flow, pressure, temperature) used in the ENeTopt portion, as shown in FIG.

At this time, pressing the SCAN TAG button will display all the entered tags and pressing the export button will save the used tag list in a separate Excel file.

You can also use Module and Module Desc. To see where the tag is being used.

The Default Values are the default values of the various units of measure and the units used in the ENeTopt unit, and these default values can be changed.

The Default Values, as shown in FIG. 13A, can define a unit for the basic information of Steam.

In addition, as shown in FIG. 13B, the maximum flow rate of each stream flow and the maximum load of Turbine can be defined when balancing and optimizing are performed.

Here you can adjust the Constraint Margin when optimizing.

In this case, as shown in FIG. 13C, the Error (%) can be optimized by setting the margin of error (%) input when selecting "Fix as Balance Value" before executing Optimize. Min. In the case of Delta, the value calculated by the set Error (%) is set to Min. If it is smaller than Delta, the error value is set to Min. Delta. Or Max. For Delta Min. It is the maximum Delta value of the error value in the same way as Delta.

As shown in FIG. 14, after setting the Data Display Shape, the corresponding value can be updated by pressing the Data Display button on the Toolbar.

In ENeTOpt Shape, each equipment constituting an energy network is configured as shown in FIG. 15A, and an energy network can be created in a design screen in a drag-and-drop manner.

Referring to FIG. 15B, the ENeTopt unit can construct an energy network using Drag & Drop, and each facility must be connected using Flow Shape.

As shown in FIG. 15C, when the flow can not be connected, the connection point of the facility may be filled with red or blue. At this time, the color of the Connection Point means the flow out of the facility in case of red, and the flow in case of blue.

If you connect the flow to the connection point, it turns green and you can see that the connection is normal. Therefore, the user can see the color of the connection point and determine whether the connection is normal.

If the user reverses the flow, a warning message is displayed as shown in FIG. 15D to notify the user that the flow is incorrectly connected.

In addition, the attributes of each Shape constructed in the ENeTOpt section are as follows.

First, referring to FIG. 16A, the Model Tab has a setting item unique to each shape.

As shown in FIG. 16A, the upper left corner of the window is composed of a unique module name (eg, HDR0001) of the corresponding Shape and an item that allows the user to input the name of the Shape. In the center lower part, have.

As shown in FIG. 16B, each Shape connectable to the Flow can have a Balance Tab in common.

In the Balance Tab, the shape of the Shape is displayed in the middle of the window as shown in FIG. 16B, and the item about the Input / Output Flow connected to the Shape is displayed in the bottom of the Table. At this time, if you press the Balance button, Balance of the equipment can be performed and the result value can be displayed.

Referring to FIGS. 17A and 17B, the ENeTopt part can input the main values of each facility as a local value, and can directly bind the field value from the RTDB set in the interface parameter. At this time, the value of Steam or Tag can be defined in Flow Shape. The Source Column of the Flow Shape shown in FIGS. 17A to 17B shows a method of defining the value of Steam.

This ENeTopt part can directly input Steam information numerically, and it can be easily used when there is no measuring device in the field, no change of value, or in simulation.

Also, it is possible to recall the constant field value by inputting the Tag of the DCS. At this time, Tag value can be arithmetic operation. If a Tag value contains +, -, *, / or ends with a period (.), It recognizes that one Tag ends. Therefore, when an operation symbol or a period is included in a tag, the tag can be written using a bracket [] to be recognized as a single tag. For example, if you have a tag named "TIC-101.PV", you can recognize it as a single tag by typing [TIC-101.PV].

In addition to the method of directly inputting a Tag in the Source, a value can be defined through arithmetic operation using a Tag. For example, if the output value of a specific facility is 90% of the input value, input.pv * 0.9 can be used, and arithmetic operations between tags can be possible.

That is, it can be displayed by TIC102.PV + 3, PIC403.PV * 0.94, FIC205.PV + FIC204.PV, and the like.

Flow can also represent flow of steam / condensate or fresh water. At this time, the properties of Flow can be composed of 3 tabs: Model, Tag Assign, and DataSheet.

In the Fluid Status of the Model tab, the state of steam / condensate can be determined as shown in FIG. 17C. Enthalpy, Energy, Saturated Temperature and Saturated Pressure can be calculated automatically according to the determined Steam / Condensate status.

In the Flow Information Table, as shown in FIG. 17D, a description of the physical property value (flow rate, temperature, pressure) of the flow, a source and a unit can be input. Where the unit may be selected from predefined values. In addition, Enthalpy, Energy, Saturated Temperature, and Saturated Pressure are calculated automatically based on the input steam information.

Here, the calculation rule is as follows.

1. In the case of Superheated Steam, Enthalpy can be calculated by applying given temperature and pressure.

2. For Saturated Steam and Condensate, Enthalpy can be calculated using given temperature. Alternatively, pressure can be applied if no temperature is given. Thus, if the temperature is used to calculate the enthalpy, the saturation pressure can be calculated, and if the pressure is used, the saturation temperature can be calculated.

3. When the vapor vapor is selected, the gas-liquid vapor mixture Enthalpy can be calculated automatically according to the given wetness.

As shown in FIG. 17E, in the Tag Assign tab, a tag to store the result calculated by the ENeTopt unit can be arbitrarily designated.

The Furnace property in the Ethylene Cracking Heater (Furnace) can be composed of Model, Balance, Cost, and DataSheet tabs as shown in FIG. 18A.

First, in the Model property, you can input the information of the flow associated with Furnace.

In the Cost tab, as shown in FIG. 18B, a start ratio and a cost slope (fuel cost charged per generated steam amount) can be input, and a maximum / minimum steam production amount can be set.

There are two types of Extraction-Condensing Turbine, which produce electricity from High Pressure Steam and some of them are the same as the type that discharges to Lower Pressure Steam and Condensate. There may be a Type. Here, we will describe the form in which electricity is produced. If you do not produce electricity, you do not have to enter the information to input electricity information.

As shown in FIG. 19A, the Extraction-Condensing Turbine may be composed of Model, Balance, Cost, Efficiency, and DataSheet tabs.

In the cost tab, as shown in FIG. 19B, it is possible to set the start-up cost, the price of the electricity sales and the processing cost of the condensate, and the minimum / maximum electricity production amount. .

You can also select Use Constraints and Use Balanced Outputs if you want to keep the same amount of electricity produced during the optimization. On the other hand, if you do not want to place any constraints on the optimization, do not select Use Constraints and Use Balanced Output. In other words, if Use Constraints and Use Balanced Output are left as empty space, no constraint may be generated when performing optimization.

There are two types of back pressure type turbine, one for producing electricity and the other for producing no electricity, as in the case of Extraction-Condensing Turbine. In this invention, . In the case of not producing electricity, it is only necessary to leave the item blank, so a description thereof will be omitted.

As shown in FIG. 20, the back pressure type turbine may be composed of Model, Balance, Cost, Tag, Efficiency, and DataSheet tabs.

In the Cost tab, you can set the start-up cost, electricity sales unit price, and minimum / maximum electricity production. Each item can be tagged instead of numerical value.

Also, a multi-stage turbine can be a two-stage turbine with an MP stage as a modification of the Extraction-Condensing Turbine.

Two types of heat exchanger can be configured in the shape of the heat exchanger when the steam and condensate heat exchange and the heat exchanger 2 when the steam / condensate and the process fluid are exchanged.

Such a heat exchanger may be composed of Balance, Tag, Efficiency and Datasheet tab as shown in FIG. 21A.

In the Model tab, the type of the heat exchanger can be selected from Counter Current Flow, Co-Current Flow, 1-2 Multipass Flow, 2-4 Multipass Flow and Cross Flow Type in Heat Exchanger Flow Type as shown in FIG.

In addition, in the heat exchanger Tag tab, various information calculated in the module can be written to the RTDB for secondary processing and utilized as information necessary for operation. Items for which a Tag to be stored can be specified are shown in FIG.

In other words, Data and Result Table can be provided differently for each Heat Exchanger Type in order to calculate Heat Exchanger Efficiency.

Further, as shown in Figs. 22A to 22D, Efficiency calc. required specifies the surface area of the heat exchanger, and the remaining conditions can be displayed automatically from the connected Flow.

That is, in the calculated efficiency data, heat exchanger characteristics calculated under the current input temperature pressure condition such as Fouling factor, heat duty, Corrected LMTD are displayed.

Moreover, Efficiency calc. Required is to enter the surface area of the heat exchanger and enter the Tag of the temperature and pressure of the process fluid instead of the steam SIDE. Thus, when the Tag of the temperature and pressure flow rate of the process fluid is input, the remaining conditions can be automatically displayed from the connected stream, as shown in FIG. 22D.

In the calculated efficiency data, calculated heat exchanger characteristics under the current input temperature pressure condition such as Fouling factor, heat duty, Corrected LMTD are displayed.

Gas turbine produces electricity using the energy generated when the fuel is burned, and the high-temperature Effluent gas is a facility that can produce steam by recovering the waste heat using a heat exchanger.

This gas turbine can be divided into two types of gas generators, one with two waste heat recovery systems and one with one.

The gas turbine can be composed of Model, Balance, Cost, Tag, Efficiency and Datasheet tab as shown in FIGS. 23A to 23B.

In the Model tab, you can input the flow tag of the fuel. At this time, the units can be selected together.

COST tab is used to input various information. After inputting Start-up Cost, Fuel Price, Fuel Heating Value and Power Unit Price, it is regulated based on operation data of input heat quantity (Q) and produced electricity quantity (KW) C1 coefficient can be obtained.

Thus, if the coefficients C0 and C1 coefficients are obtained by regression, finally, the minimum and maximum values of the power generation and the input heat quantity can be input.

As shown in FIG. 24, the pressure header can be composed of a model, a balance, and a data sheet tab, and an In / Out table can be automatically generated according to the number of input / output.

25A to 25B, the Boiler attribute may be configured with a Model, Balance, Cost, and DataSheet tabs.

In the Model tab, you can enter the equipment name of the corresponding boiler. At this time, the information input from the connected Flow Shape can be automatically displayed in the remainder of the inputted Boiler's equipment name.

Start-up cost in the cost tab. Fuel price and the heating value of the fuel, and the amount of steam generated at the maximum, and finally, the efficiency coefficient can be obtained by referring to the actual operation data.

In addition, the heat pump can supply electricity from the outside, and can absorb heat at a low temperature and emit heat at a high temperature. The attributes of the heat pump can be configured as Model, Balance, Cost, Tag assign, Efficiency, Datasheet tab as shown in Figs. 26A to 26C.

In the Cost tab, you can enter the start-up cost, the electricity cost, the maximum minimum steam production, and the maximum minimum electricity usage. required and Efficiency calculated data. At this time, COP (coefficient of performance) can be calculated automatically by inputting consumed power Tag.

Also, the heat demand (Heat Demand) is a Shape representing the heat demand amount as shown in Figs. 27A to 27B, and the attribute may be composed of Model, Balance and Datasheet tabs.

Enter the heat demand in the Model tab and then press Balance in the Balance tab to calculate the flow rate of the steam / condensate that satisfies the input heat demand.

In addition, Let Down can be supplied by lowering the pressure of the steam from the Higher Pressure Header to maintain the pressure of the pressure headers. Letdown In many cases, there is a flow meter in the input or output part, and there is often no DMW (Demineralized Water) flow meter. In this way, if the DMW flow meter is not available, the DMW flow rate can be predicted automatically by applying the material & energy balance.

As shown in FIG. 28, Let Down (pressure reduction facility) can be configured by Model, Balance, and DataSheet tabs. Flow In02 measured and Flow In02 not measured can be formed in the DMW Model.

First, in case of Flow In02 measured, there is measurement data value of In02 flow entering Let Down. At this time, the flow value of In02 can be fixed to the flow value coming in In02.

Or Flow In02 not measured, there is no measurement data value of In02 flow. In this case, the flow value of In02 can be automatically calculated so as to match the material and energy balance of Let Down.

In addition, the flash tank can produce a lower pressure steam by lowering the pressure of the high pressure condensate, and the remainder can be discharged to the condensate.

Such a Flash Tank attribute may be composed of a Model, a Balance, and a DataSheet, as shown in FIG.

Here, as in the case of the FLOW TANK's Flow Measurement Model, the Flow value can be used when the All Flow quantity measured is selected, and the Flow values of Out01 and Out02 when the Flow Out01 and Out02 not measured are selected. .

Deaerator can also remove air from incoming steam and hot water. At this time, the weight of the exhaust air can be ignored. As shown in FIG. 30, the Deaerator may be configured with a Model, Balance, and DataSheet tabs.

In addition, Import can be used to receive Steam / condensate from other sites when receiving the supply and demand, and Export can be used to supply. These imports and exports can be connected to only one input or output node, and can be composed of Model, Cost, and DataSheet Tab as shown in FIG.

Usage can also use Steam, but it can mean Plant or User.

Usage 1 can supply remaining energy to other facilities and can be composed of Model, Balance, Tag Assign, Energy and DataSheet as shown in FIG. 32A.

In this case, as shown in FIG. 32B, there is a term to input a formula for calculating the energy intensity in the energy tab, and the calculated value can be received as a temporary tag. For example, assuming that the input of Equation 2 is as follows, the calculation value can be displayed by pressing the Calculate button.

Usage 2 can be different from Usage 1 in that Steam can be used in the same way as Usage 1, meaning Plant or User, but consuming all the supplied energy.

Usage 2 can consume all the supplied energy and can be composed of Model, Balance, Tag Assign and DataSheet as shown in FIG.

In addition, as shown in FIG. 34A, Combine can serve to combine two steam flows, and Split can play a role of dividing. As shown in FIG. 34B, Combine and Split can be composed of Tabs of Model, Balance, and DataSheet.

Also, the Link can be used to connect the steam line, as shown in FIG. 35A. There is no inherent function of this link, but it can be used to calculate the energy loss from one end of the pipe to the other. Such a Link may be composed of a Model, a Balance, and a DataSheet tab as shown in FIG. 35B.

Loss can also be used to define values for Steam Loss. In other words, there are terms related to the efficiency of the energy-related equipment, but such a loss can be used when applying the effect of other heat loss or an unknown steam loss. Here, Loss is a model, a cost, a data sheet tab. At this time, as shown in FIG. 36B, the unit cost of Steam / Condensate of cost due to loss can be written in the cost tab of Loss.

In addition, a Section can be used to group specific plants or factories and to calculate and manage energy for that unit in a single unit. Such a section may be composed of a Model and a DataSheet Tab, as shown in FIG. 37A.

At this time, as shown in FIG. 37B, the product flow can input a tag or a value of a product flow of a unit for viewing energy intensity. Unit can be input in units of corresponding Tag (value).

In this case, the Energy Consumption Equation item can be used to input the energy consumption formula of the unit to view the energy intensity. Here, the expressions for calculating the energy consumption can be prepared by referring to the Module / Flow Data Access Format as shown in FIGS. 37C to 37D.

In the case of FLW0017.ENR + FLW0020.ENR shown in FIG. 37C, the energy Raw value of Flow 0017 and the Energy Raw value of Flow 0020 can be added.

As shown in FIG. 37E, Energy Consumption and Energy Intensity can be obtained by tag assigning energy consumption amount and energy intensity calculated in a section similarly to other shapes. Here, you can enter the unit to be assigned to the unit and the tag to assign to the Result Tag.

Also, as shown in FIGS. 38A to 38B, the Data Display can be used to monitor a specific tag in the ENeTopt workspace. At this time, if you press the Data Display button on the Toolbar, you can update the tag information.

As shown in FIG. 38B, the Data Display can be composed of a Model and a DataSheet tab. You can check the value by typing the tag to monitor in the Source area of the Model tab and clicking Read Value.

Subprocesses can be used when constructing ENeTOpt in a multi-layer structure as shown in FIG. 39A. That is, it can be used when the supplied steam is passed back to the complex site. Such SubProcess may be composed of a Model and a DataSheet tab as shown in FIG. 39B. Enter the desired page name in the Subprocess page of the Model tab, and click the Create button to create a new page with that name. When a new page is generated as described above, an Inlet Complex and an Outlet Complex Shape can be generated as shown in FIG. 39C.

Here, as shown in FIG. 39D, a separate SubProcess can be constructed by connecting the Inlet / Outlet Complex and inputting new facilities therebetween.

In order to perform total balance by layer, internal parameter of corresponding subprocess should be entered in the Parameters tab. As shown in FIG. 39E, through an operation between a number and a tag.

Such a steam generation can generate steam in a subprocess. In addition, import is the case where steam or demineralized water is introduced into the system from the outside, Export is the opposite concept to the import, loss is the unknown loss of steam, and internal usage can mean internal usage by Usage 2. An example of this is when steam is introduced into the stripper.

In addition, parameter setting of sub process is to be able to perform balancing considering the amount of energy inputted or outputted by Material / Energy Balance Boundary when energy balance is performed for each layer.

Here, you can add all the relevant numbers or tags to the Source field.

Next, as shown in FIG. 39F, the energy consumption and the energy intensity of the subprocess can be calculated using the Energy item. That is, the Energy item can be composed of Energy Consumption and Energy Intensity items, and an Equation field can be provided to obtain each value. After you enter the equation needed for this Equation, you can press Calculate and the value can be calculated by the formula you entered. As shown in FIG. 39G, the value thus calculated can be written to the RTDB using Tag Assign.

In addition, the Inlet / Outlet Complex is automatically generated when a SubProcess Page is created, as shown in FIGS. 40A to 40B. It is not used alone and can always be used with SubProcess. These Inlet / Outlet Complexes can be composed of Model and DataSheet tabs.

In addition, Text and Annotation have separate properties as shown in FIG. 41, but can be used when a comment or annotation is required in the Project.

In addition, the Efficiency attribute exists only in the energy production and use equipment facility, and the efficiency function and the parameter are different for each facility, but it can have substantially the same screen configuration. That is, the flow rate used in the efficiency calculation can use the energy balance calculation result value instead of the measurement value.

These Efficiency tabs include the following items in common.

- Efficiency Design Value

- Efficiency Calc Required

- Efficiency Calculated Data

In addition, you can enter Output Measurement, Load Measurement and Efficiency Parameters separately. Each item can be configured as shown in FIG.

In addition, the Efficiency design value field can be used to input the efficiency of the equipment and the efficiency of the current operation. Such an Efficiency design value item may be configured as a table type as shown in FIG. 43, where original is an efficiency value of the design of the equipment, and Updated may be an efficiency value of the current operation state updated by the user. Thus, all of the obtained values can be modified by the user and are the reference data for drawing the graph of the Efficiency Monitoring.

As shown in FIG. 44A, the Efficiency calc required is calculated as Efficiency Calc. It consists of internal tabs of Parameters item, and it can display Field data and Coefficient for calculating Efficiency.

Here, the configuration of the Item can refer to the details of each Equipment as shown in FIG. 44B. Value, Unit, and tag can refer to the contents defined in the flow shape connected to the corresponding equipment shape and the parameter value of the corresponding module. Data interworking for each item of the table can be configured as shown in FIG. 44B.

As shown in FIG. 45, the efficiency calculated data is calculated as efficiency Calc. It can be composed of internal tab of Parameters item, and it is calculated and calculated to calculate efficiency. Enthalpy can also be shown here.

Here, Value is the result calculated from the efficiency expression, and Unit and Tag can refer to the value from Flow Shape.

46, Efficiency Calc. It is composed of internal Tab of Parameters item. It can monitor the current efficiency and compare the design value with actual value of efficiency according to load.

At this time, the graph displays the reference graph based on Original and Updated determined in the Efficiency Design Value item, and the current calculated efficiency can be displayed. The Current Load can be linked with the flow rate value flowing into the corresponding equipment, and Max Load Load can be linked to the maximum value of the flow corresponding to the load, and the load can represent the actual flow rate value in% with respect to the maximum value of the incoming flow rate. Equation 3 used is as follows.

Efficiency can be computed for both isentropic efficiency and thermal efficiency, where isentropic efficiency is the ratio of actual enthalpy to enthalpy during expansion of the iso-ene, and thermal efficiency is the ratio of the energy of the generated power to actual input enthalpy have.

The Calc button can calculate the Efficiency when clicked.

In addition, as shown in FIG. 47, when Turbine produces electric power, it is possible to input a power totalizer Tag, a maximum load of several tones per hour, and an efficiency parameter K (bias). Where Bias is the difference between the calculated efficiency and the actual efficiency, or usually Bias can be entered as zero.

Up to now, the configuration of the ENeTOpt unit has been described in accordance with an embodiment of the present invention, and a procedure for performing the steam balance, simulation, and optimization through the configuration of the ENeTopt unit will be described.

Referring to FIG. 48, the energy network receives high pressure steam from the outside, generates necessary power by using the turbine, and supplies some of the low pressure header to let down the low pressure header. Can be released.

At this time, the steam balance can minimize the error by using Quadratic Programming based on the measured value of the steam input amount of each individual according to the weight value designated by the user.

In addition, the simulation can establish a new steam balance according to the arbitrary change of operating conditions of the energy network, and the optimization can minimize the whole unit of the energy network. In this energy network, the total energy consumption can be minimized by controlling the turbine exhaust and condensate flow rate in order to meet the electric production or to meet the power production conditions of the turbine and to minimize the unit cost.

As shown in FIG. 49A, the ENeTopt unit can perform balancing for each unit before balancing the entire process. That is, Balance for each unit can be performed by pressing Balance button.

By changing the Min / Max Limit and Weight, you can obtain the desired value. If unit condition balancing is performed by changing the restriction condition based on the above initial value, it is as follows.

- Change Min / Max Limit

If Balance is performed after changing the restriction condition under the assumption that the maximum value of OutO1 should not exceed 2500, it can be confirmed that Balance is performed within a range where the value of OutOl does not exceed 2500 as shown in FIG. 49B.

- Weight change

The weight can be weighted for the factors that are important to the Steam Balance. When the weight of In02 is inputted as 100 in the same min / max constraint condition as the initial value and Balance is performed, the Balance value of In02 is same as before and the balance values of the other elements are changed as shown in FIG. .

In addition, as shown in FIG. 50A, balancing can be performed by selecting Calculate Total Balance or Calculate Total Balance by layer of the ENeTOpt Toolbar. This example consists of a single layer, so you can press the Total balance button to perform steam balancing.

At this time, if Total Balance is selected, a pop-up window may be displayed as shown in FIG. 50B.

In addition, Balance is a button that can perform Plant Wide Balancing. Balance can be performed according to current facility configuration, value, and min / max / weight limit conditions. When the balance is completed, a pop-up window as shown in FIG. 50C may be displayed.

In addition, the Reset Parameters button in Reset Parameters can initialize the entered constraints. As shown in FIG. 50D, pressing the Reset All button initializes the corresponding button value of all pages, and pressing the Page button initializes the corresponding value of the current page. At this time, each initial value of Min / Max / Weight is 0/1000/1.

In this way, after changing the restriction condition, the setting value can be saved when the popup window is closed regardless of whether or not the balance is performed.

The Energy Unit can also change the energy unit of the Balance Table. After changing to the desired unit and performing Balance, Energy value is displayed in the corresponding unit. Supported units may include cal, kcal, Gcal, J, kJ, GJ, Btu, and so on.

In addition, the Report can generate Plant Wide Balancing results as an Excel file. When the corresponding button is pressed, a pop-up window informing completion of report generation may be displayed as shown in FIG. 50E.

These pop-up windows can provide a report generation path and a hyperlink to open the report. If the hyperlink is clicked, a report in the form of an Excel file as shown in FIG. 50F can be confirmed.

In addition, as shown in FIG. 50G, various information such as each equipment name, instance name, and in / out status can be displayed in the balance table. The contents of gray cells other than Min / Max / Weight shown in white can not be changed. That is, the total balance can be performed by changing the limiting condition at the current value.

Min / Max can input both numbers and tags. If you give a weight value bigger, you can get a balance result close to the current Measured value. Min / Max can set the Balance value to a certain value when you want a value within a certain range. You can use it when you want.

Also, as shown in FIG. 50H, the Faulty Gauge can determine that the flow is locked when the process flow reading value is less than 0, and can automatically fix the flow rate to 0 at the time of calculating the balance. However, the flow due to the fault of the instrument can be checked by the user checking the fault gauge, and in this case, the weight can be internally changed to the minimum value (0.001). If the user clears the meter error mark, the user can calculate the condition.

In addition, Standard Deviation can consider the reliability of the flowmeter by adjusting the weight factor when performing balancing in ENeTOpt section. When setting the weight factor, balancing can be done considering the standard deviation of each field value. In this way, when balancing is performed considering the standard deviation of each field value, Standard Deviation for each flow POINT in the set period can be calculated and applied to balancing using this value.

At this time, the smaller the standard deviation, the more the weight factor can be increased. Or Standard deviation is applied, a screen as shown in FIG. 50I can be generated by selecting "STD" in the Tool bar.

As described above, 3% of the flow meter value is set as the default value. To apply the standard deviation of the specified period, as shown in FIG. 50i, if the Updae All button located at the top of the screen is pressed, The screen is popped up as shown in FIG. 50J, and the period can be arbitrarily set.

If you set the Start date and End data here and press the OK button, the period is set and you can perform balancing based on the standard deviation of the set period.

Also, the standard deviation reflects the flow tag in the RTDB, and the temporary value set for the temporary tag set as needed when the network is configured as the ENeTopt part can be applied to the default value.

Simulation Balance is very similar to Total Balance but can be changed by directly changing Field Value. That is, it can be used to check the total balance when the field value changes in the current environment.

As shown in FIG. 51A, there are two methods, a simulated balance and a simulated balance by layer, as in the case of the balance. The principle is substantially the same as Balance.

In addition, Simulation can perform Simulation Balance based on the currently input information. When the simulation is completed, a popup window as shown in FIG. 51B may be displayed.

In addition, the simulation table is substantially similar to the balance table, but the value part can be modified by the user. In other words, the area of Value / Min / Max / Weight indicated in white in FIG. 51C can be changed.

Accordingly, the user can perform the total balance by applying the virtual field value by modifying the value portion. In this way, Simulation Balance can be efficiently applied by performing the Total Balance by applying the modified virtual field value.

In addition, you can place the Get Balance Parameters button in addition to Balance in Simulation. These Get Balance Parameters buttons can import the parameters specified on the Balance screen.

Referring to FIG. 51D, simulation results are shown in a state in which values and all constraints are initialized.

Also, if Optimize is selected in the ENeTopt Toolbar, a popup window as shown in FIG. 52A may appear.

At this time, the information of the optimization time and the cost can be displayed in the Title, as shown in Fig. 52B. The Balanced Cost can be expressed as the running cost when operating with the current balance value, and the Optimal Cost can indicate the running cost when operating as the optimization result.

The Reset Parameter is a button that can initialize the entered restriction condition, as shown in Figure 52C. Pressing the Reset All button initializes the corresponding button values on all pages, and pressing the Reset button initializes the corresponding values on the current page.

As shown in FIG. 52D, the Get Balance parameter is a button that can bring the constraint defined by Total Balance.

The Fix as Balance Value is a button for fixing the Optimize result of the selected Steam Flow to the Balance result as shown in FIG. 52E.

The Energy Unit can change the Energy unit of the Optimize Table. After changing to the desired unit and performing optimization, Energy value is displayed in the unit. Supported units can be displayed as cal, kcal, Gcal, J, kJ, GJ, Btu and so on.

Also. As shown in FIG. 52F, On / Off status and Output of Furnace and Turbine can be displayed according to the optimization result in the On / Off Status Table. If the optimization result shows that the specific facility is Off, it may be advantageous to economically operate the facility to terminate the facility.

Optimization can be performed by selecting Optimize. If you do not set Constraints at this time, the Optimize button will not be activated. If you set Constraint, Optimize button can be activated. As such, when the optimization is completed, a popup window as shown in FIG. 52G may be displayed.

In addition, if Constraints is selected, a pop-up window as shown in FIG. 52H appears and additional constraints for optimization can be set.

Equation 4 for Constraints is as follows.

where C i : Coefficient, M i : Module's input / output, bias : Bias value,

=: Depends on the condition specified by Condition.

In addition, the coefficient table can give a condition to the In / Out ratio that defines the coefficient table value. For example, as shown in FIG. 52I, if the amount of steam entering the turbine No. 1 which is the Out01 of the HP header is 1 and the amount of steam entering the turbine No. 2 is equal to that of the turbine No. 1, .

 Use can be used to apply the defined coefficient to the optimization. For example, as shown in FIG. 52J, when the C002 and C003 coefficients are to be applied, the use of the corresponding region can be checked. When creating a Multi-layer project, 20 Coefficient Columns are created per page, and maximum Coefficient of 100 can be applied.

Also, Bias is a constant condition that is additionally applied to the ratio condition entered in the coefficient. If the optimization is performed under the conditions shown in FIG. 52K, the amount of steam supplied to Turbine # 1 and # 2 Turbine may be the same.

 That is, it can have a relation of Out01 - Out02 = 0.

Also, the report can generate the optimization result as an Excel file type report. When the Report button is pressed, a pop-up window indicating completion of report generation may be displayed as shown in FIG.

These pop-up windows can provide a report generation path and a hyperlink to open the report. If the hyperlink is clicked, a report in the form of an Excel file as shown in FIG. 52M can be confirmed.

In addition, as shown in FIG. 52N, various information such as facility name, Instance Name, In / Out status and the like can be displayed in the Optimize Table. The contents of gray cells other than Min / Max indicated in white can not be changed. In other words, optimization can be done by changing Constraints and Min / Max from the current value.

Referring to FIG. 53A, optimization is performed without adding constraints after performing TOTAL BALANCE. Thus, it can be easily confirmed that the running cost is reduced compared to the existing total balancing through FIG. 53B.

When optimization is performed by applying Constraints under these conditions, the following is shown in FIG. 53C. In this way, when Constraints is applied, a restriction condition is added to keep the usage amount of User02 equal to the balance value. FIG. 53C shows that optimization is performed after the restriction condition is added.

Accordingly, it can be easily confirmed that optimization has been performed again after the addition of the restriction condition, and the optimized amount has also changed through FIG. 53D.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but is capable of various modifications within the scope of the invention. Therefore, the scope of the present invention should not be limited by the illustrated embodiments, but should be determined by the scope of the appended claims and equivalents thereof.

Claims (3)

1. An energy network system for constructing an energy network in a visual modeling environment and using the energy network to minimize energy balance, simulation, and operation unit cost,
(1) an ENeTOpt main module 111 for performing internal balance management, script computation, and information management for performing energy balancing so as to be suitable for energy consumption, performing minimum energy consumption, and energy balance of the energy network and An ENeTOpt unit 110 including a computation module 121 for computing the enthalpy, energy balance, and overall operating unit required for the minimum of the operating unit; A Visio unit 130 connected to the ENeTopt unit and providing a user interface (UI) and providing a diagram design function; An RDB unit (relational database) 150 for receiving and monitoring data for minimizing enthalpy, energy balance, and overall operation unit load from the ENeTopt unit; An RTDB unit (real-time database) 170 for providing an interface to at least one device; And a data access interface unit (data link interface) 190 serving as a relay for connecting the ENeTopt unit 110 to the RTDB unit 170,
The ENeToPT main module 111 is connected to the Visio part, the RDB part, the RTDB part, and the data access interface part, and controls and manages the information of each component
A module manager (module manager) 113; An Automation (Automation) 115 and an RTDB interface, which performs the energy balancing and the entire operation unit at a minimum in a predetermined period according to a preset cycle, a Variable Handler 117)
The calculation module 121 includes a steam table 123 for calculating enthalpy; A QP solver (secondary programming method) 125 for computing the energy balance; And a MILP Solver (Mixed Integer Linear Programming) 127 for computing the total operating unit cost to be minimum,
The ENeTopt unit 110 creates a multi-layer energy network using drag-and-drop visual modeling. The energy network internally generates data such that the energy balance and the operation unit are minimized internally. The ENeTOpt Toolbar (a), which executes each function of ENeTOpt, and the ENeTOpt Shape (b), which constitutes an element constituting the energy network, are included in the ENeTOpt design screen,
The ENeTOpt Toolbar (a) consists of an ENeTOpt Version that displays the ENeTOpt version, an Interface Parameter that links and manages the data interface of the current project, a Database Parameter that manages SQL database connection information and attributes, (Database parameter), Calculate Total Balance to calculate the total energy balance, Calculate Total Balance by layer to calculate energy balance in units of layers, and Simulation by inputting the new operation condition of the equipment desired by the user Calculate Simulated Balance and Calculate Simulated Balance by layer to perform simulation in hierarchical unit (Layer unit), Optimize (Optimize) to perform minimum unit of operation under the current facility configuration and information and input constraint, And an energy balance and a driving unit level according to a frequency determined by the user Standard Deviation Manager that adjusts the weight of the flow using the standard deviation obtained by obtaining the standard deviation of the flow so that the energy balance result value is proportional to the variation range of the flow rate, Variable Manager that manages variables used in ENeTOpt by Import and Export functions in Excel, Tag Manager which manages all tags used in ENeTOpt, Default values that set the unit of measure and various parameters of ENeTopt, Data display to update the value of Data Display module, and Property Editor to display icon property window of selected network component. ≪ / RTI &
The ENeToPt Shape (b) is the flow that represents the flow of steam or condensate or fresh water, the Ethylene Cracking Heater (Furnace), the Extraction-Condensing Turbine, Back pressure type turbine, heat exchanger, pressure header, boiler, heat pump which extracts heat at low temperature by supplying electricity from outside and emits heat to high temperature (Heat Pump ), Heat demand (Heat Demand), Let Down (Decompression facility) to supply the pressure of the steam from the Higher Pressure Header to maintain the pressure of the Pressure Header, Deaerator to remove air from steam and hot water, Import to use steam or condensate in connection with external process, and to supply steam or condensate to other process. Export ), Combine to combine two steam flows (Steam Flow), Split to split Steam Flow (Steam Flow), Link to connect steam line (Steam Line) Loss, which defines a value for a steam loss that can not be done. Section, which calculates and manages the energy for a specific unit or plant unit by unit. ENeTOpt In a workspace, (Data Display) used for monitoring the network, and Subprocess for configuring ENeToTt in a multi-layer structure. delete delete

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