JP2001273006A - Operation evaluation system of energy plant - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an operation evaluation system of an energy plant that can realizes highly precise and highly reliable plant operation evaluation and can compare and verify economic efficiency and energy saving to operate the plant. SOLUTION: The operation evaluation system of the energy plant in which the evaluation of the plant operation is performed on the basis of a plant model and load data simulating the plant characteristic of the energy plant, is provided with a plant model generator displaying or setting the plant model, and an optimum operation plan means for calculating the maximum evaluation value or the minimum evaluation value of the plant operation by using actual or virtual plant load data.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] The present invention relates to an energy plant for supplying cooling and heating energy and electric power, which analyzes and evaluates actual plant operation results using an optimal calculation technique, and further compares the actual plant operation results with a virtual plant. The present invention relates to an energy plant operation evaluation system capable of comparing and verifying operation economics and energy saving.

[0002]

2. Description of the Related Art FIG. 9 is an explanatory diagram showing a configuration of a conventional plant optimal operation control system. That is, the past heat load data of the energy plant 11 is stored in the heat load data storage unit 13 based on the plant operation data input from the energy plant 11 that supplies the cooling / heating heat and the electric power via the plant operation data input unit 12. Is done. The heat load predicting means 16 is based on the past heat load data stored in the heat load data storage means 13 and the weather data input from the human interface 14 via the weather data input unit 15, based on the current day or the next day. The plant heat load is predicted. The values representing the input / output performance of the plant component equipment stored in the plant component equipment characteristic coefficient storage means 17 (hereinafter referred to as characteristic coefficients) and the predicted plant heat load value predicted by the heat load prediction means 16 are optimal. It is input to the operation planning means 18. The optimal operation planning means 18 calculates plant control data for controlling the number of operating plants and load control of each plant component by an optimization method based on the input information, and converts the plant control data into plant control data. The data is sent to the energy plant 11 via the data output unit 19. The energy plant 11 controls the number of operating plants and the load according to the plant control data sent from the optimal operation planning means 18. In addition,
The characteristic coefficients of the plant components are input from the human interface 14.

[0003] In such a cooling and heating and power supply energy plant, an operation evaluation system using an optimization technique such as mathematical programming has been conventionally seen, but has the following problems. In other words, a plant model that mathematically simulates the operation of an energy plant or plant component equipment used for optimal calculation does not strictly simulate the operation of a real plant, but inevitably approximates the equipment characteristics by a linear expression. Although a modeling error such as an error occurs, conventionally, since the modeling error is not considered, there is a possibility that the evaluation of the past operation results becomes inappropriate.

[0004] Conventional simulations of optimal operation are limited to comparisons with limited objects such as past operation results in the same plant, and effects on economics and energy saving based on comparisons with alternative plants are measured. There was a problem that it was difficult.

[0005] Further, there is another problem that it is difficult for a skilled person to construct a plant model required for optimal operation.

[0006]

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and eliminates modeling errors and performs an optimal operation simulation based on actual operation results data to achieve high accuracy and reliability. Provides an energy plant operation evaluation system that can achieve high plant operation evaluations, and can compare and verify the economics and energy savings of plant operation through comparison between a real plant and a virtual plant as an alternative. The purpose is to provide an evaluation system. Also, by providing means capable of displaying and setting a plant model when evaluating alternatives, an operation evaluation system for an energy plant capable of easily and quickly comparing alternatives is provided. Aim.

[0007]

In order to achieve the above object, the present invention provides an energy plant operation evaluation system for evaluating plant operation based on a plant model simulating plant characteristics of an energy plant and load data. A plant model generator for displaying or setting the plant model; and optimal operation planning means for calculating a maximum evaluation value or a minimum evaluation value of plant operation using actual or virtual plant load data. It is a feature.

The present invention is also an energy plant operation evaluation system for evaluating plant operation based on a plant model simulating plant characteristics of an energy plant and load data, wherein the plant model displays or sets the plant model. Selecting a model generator, a plant model storage means for storing the plant model, and an arbitrary plant model stored in the plant model storage means, and using actual or virtual plant load data to perform plant operation for each plant model. Optimum operation planning means for calculating the maximum evaluation value or the minimum evaluation value of the above, and comparison means for comparing and analyzing the evaluation value for each plant model calculated by the optimum operation planning means. .

Further, the present invention provides an energy plant operation evaluation system for evaluating plant operation based on a plant model simulating actual plant characteristics of an energy plant and basic input data including operation data and load data of the energy plant. A plant model generator for displaying or setting the plant model, actual operation evaluation means for calculating an evaluation value of plant operation using only actual plant operation data as the basic input data, and the basic input data A first optimal operation evaluation means for calculating a maximum evaluation value or a minimum evaluation value of plant operation using actual plant operation data and actual plant load data, and only actual plant load data as the basic input data. Use of plant operation A second optimum operation evaluation unit that calculates a large evaluation value or a minimum evaluation value is compared with an evaluation value calculated by the actual operation evaluation unit, the first optimum operation evaluation unit, and the second optimum operation evaluation unit. And a comparing means for analyzing.

According to the present invention, in the operation evaluation system for an energy plant, the comparing means compares and analyzes the evaluation value of the actual operation evaluation means and the evaluation value of the first optimum operation evaluation means, and generates a modeling error of the plant model. And the evaluation value of the first optimum operation evaluation means and the second evaluation value.
The evaluation value of the optimal operation evaluation means is compared and analyzed to evaluate the effect of the optimal operation of the plant.

Further, according to the present invention, in the energy plant operation evaluation system, the plant model generator uses equipment object storage means for storing equipment objects defining basic setting values of plant constituent equipment, and uses the equipment objects. System diagram drawing means for drawing a plant diagram which is drawn, and setting values of plant constituent devices and connection relations between the plant constituent devices are extracted from the plant system diagram drawn by the system diagram drawing device and converted and output to a plant model. And a plant model converting means.

The present invention also relates to the operation evaluation system for an energy plant, wherein the plant model generator converts a plant system diagram into a system diagram based on a plant model and plant component equipment arrangement data converted and output by a plant model converting means. It is characterized by drawing on drawing means.

According to the present invention, in the energy plant operation evaluation system, the plant model generator is drawn on a system diagram drawing means based on equipment object connection rules stored in equipment object connection rule storage means. And a device connection check unit for checking whether or not the device objects in the plant system diagram can be connected.

The present invention is also characterized in that in the energy plant operation evaluation system, the plant model generator includes equipment object definition means for setting a data structure of the equipment object so as to be able to create or change the data structure. is there.

Further, in the present invention, in the energy plant operation evaluation system, the evaluation value may be a combination of one or more of a plant energy consumption, a plant operation cost, and a plant environmental load emission. It is a feature.

[0016]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the present invention will be described below in detail with reference to the drawings.

FIG. 1 is a structural explanatory view showing an embodiment of the present invention. Load data 26 such as electric power, cold heat, and heat stored in the energy plant optimal operation control system 25
From the operation data 27 and the plant component equipment operation data, the load data and the operation data on the examination target day are
Is output to The optimum operation planning means 24 calculates the operation cost required for the actual operation of the energy plant (hereinafter referred to as the actual operation) based on these data, and also executes the load data and the operation data related to the control output of the plant components. The optimum plant operation cost (hereinafter referred to as “sub-optimal operation”) when the conditions are given and the optimum operation (hereinafter referred to as “optimal operation”) when only the load data is given conditions The optimal operation planning process is performed so as to be inexpensive, and the data at the time of actual operation, at the time of suboptimal operation, and at the time of optimal operation are output to the operation result comparison unit 29. The operation result comparison unit 29 compares the operation results of the actual operation, the sub-optimal operation, and the optimal operation, and presents the comparison result to the user via the user interface 21.

This energy plant optimum operation evaluation system not only analyzes and evaluates actual plant operation results using an optimal calculation technique in an energy plant, but also compares the actual plant operation results with a virtual plant, thereby realizing the economics of plant operation. Comparability can be verified. That is, the plant configuration is input to the plant model generator 22 from the user interface 21 with the user for changing / setting the operation policy / limit value, confirming the past operation state, and the like.
A plurality of virtual plant models 23 are generated from the plant model generator 22. The virtual plant model 23 includes a storage unit for storing characteristic coefficients of plant components. The virtual plant model 23 is selected and applied according to the purpose, and is used by the optimal operation planning means 24.

By utilizing this function, the following comparisons are made according to a predetermined evaluation criterion for each plant to be examined: the actual operation result and the operation after adding equipment to the current plant configuration.・ Comparison of actual operation results with operation under the optimization plan ・ Comparison of actual operation results with operation under other assumed conditions It is possible to perform a specific numerical comparison between the devices within an appropriate time. As an optimization evaluation criterion used by the optimal operation planning means 24, an environmental load emission amount of the plant may be set in addition to the above-mentioned plant operation cost. In this case, the environmental load unit data 28 is used for the purpose of converting the energy consumption accompanying the plant operation into the environmental load emission.

FIG. 2 is an explanatory diagram showing the operation of the operation result comparison section in FIG. 1, and shows a method of comparing the quality of operation with respect to past operation results. That is, as shown in FIG. 2 (a), the operating cost of the actual operation corresponds to the actual energy consumption of gas, electric power, heavy oil, tap water, etc. extracted from the accumulated actual operation data. It is calculated by multiplying the energy unit price. The operating costs for sub-optimal operation are the accumulated actual operation data, actual load data such as power demand, cold heat demand, and heat demand, and output data of each device (power generation and production heat).
Is applied to the plant model to perform the optimal calculation. Further, the operating cost of the optimal operation is calculated by applying the accumulated actual load data to a plant model and performing an optimal calculation. FIG. 2B shows actual driving,
This graph shows a general trend when comparing plant operation costs between sub-optimal operation and optimal operation, and a difference due to modeling errors occurs in the comparison of operating costs between actual operation and sub-optimal operation. In the comparison of the operation cost between the optimal operation and the optimal operation, a difference occurs due to the difference in the operation pattern.
Therefore, it is possible to compare the operating costs of actual operation and sub-optimal operation, and to compare the operating costs of sub-optimal operation and optimal operation. Therefore, the two cannot be simply compared.

Hereinafter, a method of evaluating the operation result by the sub-optimal operation and the optimal operation will be described.

The most representative index of the quality of the operation result by the optimal operation is the plant operation cost. In the optimal calculation, a plant operation that minimizes the evaluation value is obtained by using the following evaluation function that uses this as an evaluation value.

Plant operation cost = Σ (Each energy [gas / electric power / heavy oil / water supply, etc.] consumption × each energy unit price) On the other hand, in the suboptimal operation, actual operation data is used. However, what should be compared with the optimal operation is the “plant operation cost estimated backward through the plant model used in the optimal operation plan”.

"Inverse calculation" means that an optimum calculation is performed using a plant model in which the value on the output side is fixed, and the energy consumption value on the input side is obtained. The following equations apply to each device.

I) The amount of heat actually output by the equipment = the characteristic coefficient used in the optimization × the energy consumption of the equipment ii) Σ (the energy consumption of each equipment) × the unit energy price In this way, ii) is calculated through the plant model. By doing so, it is possible to compare the result of the optimal operation with the result of the actual operation.

Conventionally, without using the plant operation cost during the suboptimal operation, the plant operation cost during the actual operation was compared with the plant operation cost during the optimal operation. However, direct comparisons are not valid because this comparison may include modeling errors.

The comparison between the plant operation cost at the time of optimal operation and the plant operation cost at the time of sub-optimal operation is to use the same characteristic coefficient at the time of operation calculation of both, and the plant operation cost caused only by the difference in the operation pattern is pure. The differences in costs can be extracted and compared. In addition, by comparing the energy consumption of each device obtained in the calculation at the time of this sub-optimal operation with the calculation result at the time of the actual operation, there is a possibility that a large error occurs or an erroneous calculation that makes calculation impossible It is also possible to check whether there is a description of the plant model. This is effective as a method for eliminating modeling errors.

FIG. 3 is an explanatory diagram showing a comparison between the optimal operation and the conventional operation in the operation result comparison section of FIG. That is, the energy plant is composed of the devices 1 to 4, and the optimal operation plan is optimally calculated by the optimal operation planning means 24 based on the actual plant model and load data, and is supplied to the operation result comparison unit 19, The conventional operation plan 1 and the conventional operation plan 2 are optimally calculated by the optimal operation planning means 24 based on the virtual plant model 23 and the load data, and then supplied to the operation result comparison unit 19. Here, the feature of the optimal operation is that the device does not have the priority of starting and stopping the device, and that the load factor (actual output ratio with respect to the maximum capacity) at the time of operating the device is calculated to be an optimal ratio. Further, the features of the conventional operation 1 are that there is a priority order for starting and stopping the device, and that after starting the device, the rated operation is performed as high as possible (load factor = 100%). Furthermore, the feature of the conventional operation 2 is that there is a priority order for starting and stopping the equipment,
And the same load factor between the starting devices.

Conventionally, the result of actual operation has been used as a plant operation pattern to be compared with an optimal operation plan.
For this reason, it was only possible to compare with a single result and not with plant operation patterns based on various operation policies.However, in the present invention, instead of using the actual operation results, the conventional operation policy was modeled. By generating the operation plan, it became possible to compare with the optimal operation result.

The following are two typical policies taken as conventional operation policies.

I) "Equipment with start / stop priority and start-up devices operate at rated speed" ii) "Equipment with start / stop priority and start-up devices operate at the same load factor" policy In the operation plan, the equipment to be started was changed by calculation or changed by giving explicit instructions such as `` start this equipment '', but by describing the operation policy as follows, It is possible to start and stop devices with a priority order according to the load amount. Specifically, if the description to realize i) is {load amount-1st unit upper limit capability <2nd unit upper limit capability}, then {1st unit startup, 2nd unit startup, 1st unit output = rated output} Description to realize ii) If {load amount-1st unit upper limit capability <2nd unit upper limit capability}, then 1st unit start, 2nd unit start, 1st unit output = 1st unit's rated output x load factor A Second output = second rated output × load factor A｝ This process is repeated for the number of devices. The rated output usually indicates the design capability of the device.

As described above, by performing the optimum calculation for the conventional operation, it is possible to compare the plan with a specific numerical value for the future load state that has not been operated yet, and it does not yet exist. Even in a plant having a configuration (virtual plant), a comparison between the conventional operation and the optimal operation can be made.

FIG. 4 is an explanatory diagram showing a comparison between the current operation and the operation under virtual conditions in the operation result comparison section of FIG. That is, the energy plant is composed of the devices 1 to 4, and the optimal operation plan is optimally calculated by the optimal operation plan means 24 based on the model and the load data L of the actual plant, and then the operation result comparison unit 19 Supplied. Also,
The operation assuming future load conditions is optimally calculated by the optimal operation planning means 24 based on the model of the actual plant and the assumed future load data L, and then the operation result comparison unit 19
Supplied to In addition, for operations that assume changes in the performance and specifications of a certain device, a plant model that assumes changes in the device state, that is, when the performance of a certain device changes, a certain device cannot be used, or a certain device is to be forcibly used After optimal calculation by the optimal operation planning means 24 based on the plant model and the load data L according to the assumed conditions such as
9.

Conventionally, when updating or introducing plant components, or when planning a new plant, it is difficult to know numerically the quality of the operation pattern after the introduction and the effect of the introduction. Met. Further, even in the same plant, it is difficult to estimate the influence on the entire plant operation, assuming that the load condition will change significantly or the characteristic coefficient will change in the future.

According to the present invention, an operation result under virtual plant conditions for which actual data has not been obtained can be obtained by using a different plant model for each desired device configuration in optimum operation. In addition, even in the same plant, operation results under each condition can be obtained by setting virtual load states and equipment states.

This makes it possible to compare various operation patterns with each other and specifically.

FIG. 5 is an explanatory diagram showing the structure of the plant model generator shown in FIG. That is, the equipment objects stored in the equipment object storage means 31 are selected and arranged in the system diagram drawing means 32 via the user interface 21 and line segments with arrows are arranged so as to connect the equipment objects to each other. A schematic device connection diagram is created.

FIG. 7 is a flowchart showing the use of the plant model generator according to the present invention.

In the system diagram drawing means 32, as shown in FIG. 6, the set values of each device arranged in the drawn plant system diagram are internally set for each device. When a model generation command is input to the plant model generator 22 via the user interface 21, the equipment setting value acquisition means 33 reads the internal setting values of each equipment from the system diagram drawing means 32 and connects the connection node analysis means. The connection relationship between the devices is read by 34. The plant system diagram drawn by the system diagram drawing means 32 is constantly monitored by the connection availability check means 35, and the setting values / connections for each device are referred to by referring to the connection rules between device objects from the connection rule storage device 36. Inspect whether there is any deficiency, input the inspection result to the device setting value acquisition unit 33 and the connection node analysis unit 34, and notify the user 37
To notify the user via the user interface 21. If there is no deficiency in all device-specific setting values / connections, the model description-related file generating means 38 converts the connection relationships between the devices and the internal setting values of each device into constraint expression descriptions, as shown in FIG. A plant model is automatically generated from a plant system diagram, a set of related files is generated, and recorded in the virtual plant model 23. In the case of a plant model created by the above procedure, the plant system diagram is rearranged on the system diagram drawing unit 32 by using the plant component device arrangement data generated by the model description related file generating unit 38. It is possible to do.

FIG. 8 is a flowchart showing the above-described system diagram analysis processing.

In an operation planning system using an optimization method, it is necessary to construct a "plant model" having an "objective function" and a "constraint equation", and to solve this by an optimization calculation. Conventionally, this plant model has been manually described by a person who is skilled in model construction. However, users who are unfamiliar with the construction of plant models or ordinary users are not immediately familiar with them, and must use the help of experts and experts to write a plant model that expresses the desired plant configuration. There was much waste in terms of time and cost.

The present invention realizes a function of semi-automatically generating a plant model from an “equipment system diagram” showing the equipment configuration of a plant.

In general, it is easy to describe an equipment system diagram as long as it is related to plant operations. Much information necessary for the plant model is included in this system diagram. Therefore, by drawing a system diagram on software, it is possible to convert information on the system diagram into a description expression of a plant model.

When creating a plant model, pay attention to the following points so that the description does not contradict the actual plant configuration.

I) Which devices are connected to which devices ii) What media (gas, cold water, etc.) are connected iii) What values are present in each device (auxiliary power, etc.) On the system diagram, the information of i) and ii) is usually described, and the information such as iii) which is read by the connection node analyzing means 34 but not represented on the system diagram is
A screen for internal setting of each device as shown in FIG. 6 for setting these for each device is provided, and by inputting the screen, original information for conversion into a constraint description expression is created.

Such a method of setting and managing a value for each target device (object) is called object-oriented in the field of software. The automatic generation of constraint expressions makes effective use of this object-oriented concept. For example, as a method of reading the connection relation of the medium, a naming rule of “cool water is“ device name + QC2 ”” is provided,
By determining the variables in the plant model such as the first chiller chilled water output = R1QC2 and the second chiller chilled water output = R2QC2, the connection relationship can be easily configured for each device or medium.

A combination of connectable variables is also registered as a rule. These rules are stored in the device object connection rule storage means 36.

The plant model generator can read which equipment object is connected to which equipment object. The variables held in each of the connected objects are referred to, and if the above rule is satisfied, a description of a constraint expression that matches the connection relationship is generated.

[0049]

As described above, according to the present invention, a highly accurate and highly reliable plant operation evaluation is realized by eliminating a modeling error and performing an optimum operation simulation based on actual operation result data. To provide an energy plant operation evaluation system that can compare and verify the economics and energy savings of plant operation by comparing a real plant with its alternative virtual plant. it can. Also, by providing a means capable of displaying and setting a plant model when evaluating alternatives, it is possible to provide an operation evaluation system for an energy plant that can easily and quickly compare alternatives. it can.

[Brief description of the drawings]

FIG. 1 is a configuration explanatory diagram showing an embodiment of the present invention.

FIG. 2 is an explanatory diagram illustrating an operation of an operation result comparison unit in FIG. 1;

FIG. 3 is an explanatory diagram showing a comparison between an optimal operation and a conventional operation in an operation result comparison unit of FIG. 1;

FIG. 4 is an explanatory diagram showing a comparison between a current operation and an operation under virtual conditions in an operation result comparison unit of FIG. 1;

FIG. 5 is a configuration explanatory view showing the plant model generator of FIG. 1;

FIG. 6 is an explanatory diagram showing a system diagram drawing means of FIG. 5;

FIG. 7 is a use flowchart of the plant model generator according to the present invention.

FIG. 8 is a flowchart showing a system diagram analysis process of FIG. 7;

FIG. 9 is a configuration explanatory diagram showing a conventional plant optimal operation control system.

[Explanation of symbols]

 Reference Signs List 21 User interface 22 Plant model generator 23 Virtual plant model 24 Optimal operation planning means 25 Energy plant optimal operation control system 26 Accumulated load data 27 Accumulated operation data of plant component equipment 28 Environmental load intensity unit data 29 Operation result comparison unit

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Kazuhide Kamata, 390 Kita-Nagai, Miyoshi-cho, Iruma-gun, Saitama Prefecture Inside (72) Inventor Hisashi Saito 390 Kita-Nagai, Miyoshi-cho, Iruma-gun, Saitama prefecture Daidan Co., Ltd. 5B049 BB00 CC21 EE01 EE07 EE31 EE41 5H004 GA34 GA36 GB06 KA16 KC03 KC06 KC28 LA15 MA04 9A001 CC09 GG16 HH32 LL08

Claims (9)

[Claims] An energy plant operation evaluation system for evaluating plant operation based on a plant model simulating plant characteristics of an energy plant and load data, comprising: a plant model generator for displaying or setting the plant model. An operation evaluation system for an energy plant, comprising: optimal operation planning means for calculating a maximum evaluation value or a minimum evaluation value of plant operation using actual or virtual plant load data. 2. An energy plant operation evaluation system for evaluating plant operation based on a plant model simulating plant characteristics of an energy plant and load data, comprising: a plant model generator for displaying or setting the plant model. A plant model storage means for storing the plant model, and an arbitrary plant model stored in the plant model storage means, and a maximum evaluation of plant operation for each plant model using actual or virtual plant load data. An operation evaluation system for an energy plant, comprising: an optimum operation planning means for calculating a value or a minimum evaluation value; and a comparing means for comparing and analyzing the evaluation value for each plant model calculated by the optimum operation planning means. . 3. An energy plant operation evaluation system for evaluating a plant operation based on a plant model simulating actual plant characteristics of an energy plant and basic input data including operation data and load data of the energy plant. A plant model generator for displaying or setting the plant model; actual operation evaluation means for calculating an evaluation value of plant operation using only actual plant operation data as the basic input data; actual plant evaluation data as the basic input data Using the plant operation data and the actual plant load data, a first optimal operation evaluation means for calculating the maximum evaluation value or the minimum evaluation value of the plant operation, using only actual plant load data as the basic input data, Maximum evaluation value of plant operation Or a second optimum operation evaluation unit for calculating a minimum evaluation value, and an evaluation value calculated by the actual operation evaluation unit, the first optimum operation evaluation unit, and the second optimum operation evaluation unit. An operation evaluation system for an energy plant, comprising: a comparison unit. 4. The comparison means evaluates the modeling error of the plant model by comparing and analyzing the evaluation value of the actual operation evaluation means and the evaluation value of the first optimum operation evaluation means, and evaluates the first optimum operation evaluation. The operation evaluation system for an energy plant according to claim 3, wherein the evaluation value of the means and the evaluation value of the second optimum operation evaluation means are compared and analyzed to evaluate the effect of the plant optimum operation. 5. The apparatus according to claim 1, wherein said plant model generator comprises: an equipment object storage means for storing equipment objects defining basic setting values of plant constituent equipment; and a system diagram drawing means for drawing a plant system diagram using said equipment objects. And plant model conversion means for extracting a set value of a plant component device and a connection relationship between the plant component devices from a plant system diagram drawn by the system diagram drawing device, and converting and outputting the plant model to a plant model. Claim 1,
The operation evaluation system for an energy plant according to 2, 3, or 4. 6. The plant model generator, based on a plant model and plant component device arrangement data converted and output by a plant model converting unit.
The operation evaluation system for an energy plant according to claim 5, wherein the plant system diagram is drawn by a system diagram drawing means. 7. The plant model generator determines whether or not the device objects in the plant system diagram drawn by the system diagram drawing device can be connected based on the connection rules of the device objects stored in the device object connection rule storage device. The operation evaluation system for an energy plant according to claim 5, further comprising a device connection checking unit for checking. 8. The operation evaluation of an energy plant according to claim 5, wherein the plant model generator includes equipment object definition means for setting a data structure of the equipment object to be able to be created or changed. system. 9. The method according to claim 1, wherein the evaluation value is a combination of one or more of a plant energy consumption, a plant operation cost, and a plant environmental load emission. Operation evaluation system for the energy plant described.