KR101665614B1 - Coal Operation Management System - Google Patents

Abstract

The present invention relates to a fuel management integrated management system in connection with real-time operation information. The system of the present invention recommends autoclaving for differentiators and estimates the combustion characteristics of the main systems (differentiators, boilers, ventilation systems, environmental facilities) related to the operation of the plant and the fuel characteristics Etc.) Immediately after confirming the hint. In addition, it can easily grasp the location, inventory, etc. of the burnt ground with graphs of low-carbon, low-load and unloading status, contributes to unloading / blending plan, (Total inventory, ship management) by implementing long-term stock forecasting program for each type of coal. Realization of Coal Feeding System that is linked with real-time operation information system, contributing to stable operation of power generation by providing combustion point of next type of burnt seeds. Combustion prediction index (including operation / maintenance expense formula) through various combustion tests and driving / This system contributes to the stable operation of the plant by providing the method of real-time comparison of key system operation / prediction information such as prediction of real-time boiler efficiency and operation / combustion tips for predicted values. Combined with the measurement of electricity consumption through various combustion tests and the measurement of operating cost according to the fuel characteristics, the reduction of the lifetime of the equipment due to the fuel characteristics of each facility, and the actual maintenance cost of the GENi (power plant management system) / Implement an economic evaluation system for pre-combustion systems.

Description

{Coal Operation Management System}

The present invention relates to a fuel management integrated management system, and more particularly, to a fuel management integrated management system that considers economical efficiency, facility stability, and environmental performance in connection with real-time operation information.

As the coal supply and demand conditions deteriorated due to the rise in coal prices and the exhaustion of high-quality coal, the use of low-calorific charcoals of less than 4800K㎈, which is lower than the design standard of 6080K 기존 of existing coal thermal power plants, Of driving disorder.

Expansion of inexpensive low calorie burning is effective in reducing costs and stabilizing fuel supply and demand. However, there are problems such as equipment and environmental impacts, such as increased maintenance costs, decreased efficiency, increased power in cattle, increased recycling rate of coal ash, and compliance with environmental regulations.

In addition, in an emergency power supply situation such as these days, a facility failure due to the use of low-calorie burning may further deteriorate the power supply and demand situation.

Therefore, we are implementing fuel management related programs not only in Korea but also in Japan and the United States.

In the case of Korea, the exemption formula is applied to the excel-based system to manage the flammability and the environment mainly, but the combustion prediction items are as low as about 46, so combustion prediction and stability verification using low calorific value are insufficient. In addition, there is no inventory management function, and there is a possibility of human errors and overload of workload due to subjective blundering by one person in charge, and it is impossible to calculate the operation and maintenance cost.

In the case of Japan, it is possible to predict the coal properties accurately and predict according to the total blast ratio by providing various combustion prediction indexes. However, there is no blast and inventory management function and it is impossible to link real-time operation information and user program modification. There is no.

In the case of the United States, it is possible to classify all facilities related to fuel operation, to estimate the cost and performance effects of fuel characteristics, and to precisely evaluate the maintenance items. However, there is no prediction function of blending and confusion, user program modification is impossible, Do.

Therefore, the importance of optimum combustion of boiler facilities and the elaboration of coals such as changes in boiler combustion environment due to the increase in the use of low calorific coal and quality variability due to the diversification of the types of coal is emerging, and the purchase of economical bituminous coal And it is necessary to develop a program to increase the efficiency of the power plant.

In addition, for the economical purchase of coal, consideration should be given to the fuel cost of the coal, the operating time of the coal supply system and the exhaust system equipment, the operation cost due to the load increase, the replacement cost according to the operation life of the equipment, .

Accordingly, it is an object of the present invention to provide a method and a system for automatic blending that reflects operating constraints and characteristics of a bituminous coal in relation to fuel operation, providing predicted values and driving tips associated with real- The present invention provides a fuel management integrated management system capable of providing a trend of fuel inventory and a trend of fuel properties, and evaluating a cost of spent fuel.

In order to achieve the above object, the fuel management integrated management system of the present invention comprises: a PIS server for collecting and providing operation information in real time to a power generation facility; Wherein the fuel management integrated management system is adapted to manage coal supply and demand status including inventory status, long-term inventory trend, fuel property and mixed fuel characteristics, wiring and unloading plan, , A short-term blast scheme was established in consideration of the coal supply and demand management department, low-tender inventory, loading and unloading status, current high-grade and operating constraints for each cycle, and a long-term blast scheme was established considering low- And a control unit for controlling the burning time of the next burning coal and the combustion system of the main system of the power generation facility A cost analysis unit for analyzing the cost information, the fuel cost, the operation cost, and the maintenance cost for each date and time, the material flow cost management unit for managing through the material flow cost analysis (MFCA), and And a comprehensive report section for providing a daily report and a stock trend report of a selected date, a mixed plan report, a combustion prediction report, and a cost analysis report.

The fuel management integrated management system of the present invention recommends auto-mixing in consideration of economical efficiency, stability, and environmental friendliness, and it is possible to manage the fuel supply and demand economically by modeling inventory management by coal type.

In addition, it is possible to compare driving and forecasting values in connection with real-time operation information to provide driving tips for prediction characteristics, to evaluate the economical efficiency of the entire fuel combustion process, to modify prediction formulas and driving tips, can do.

Therefore, the present invention has the effect of reducing the fuel cost and operating the stable / economical facility through the optimum mixed combustion / real-time combustion prediction with stable low-quality plate operation.

In addition, long and short-term inventory management has the effect of increasing the efficiency of operation through stable fuel operation, reduction of the dues fee, and systemization.

In addition, it can contribute to stabilizing the people's life and enhancing the corporate image by securing the reliability of operation of the power plant, which is a national infrastructure industry in the era of power supply and demand, and low reserve ratio.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an overall configuration diagram showing a fuel management integrated management system according to the present invention;
FIG. 2 is a detailed configuration diagram of the system of FIG. 1;
FIG. 3 is a view showing a process of setting up a self-mixing /
FIG. 4 is a view showing a process for predicting the long-term stock (sulfur content, heat amount, etc.)
FIG. 5 is a view showing a process of changing a seed type, providing a real-time combustion prediction (operation value / predicted value)
6 is a view showing a process of providing economic evaluation information on the system before the fuel / combustion.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a configuration diagram of a fuel operation integrated management system in connection with real-time operation information according to the present invention, and FIG. 2 is a detailed configuration diagram of the system of FIG.

Referring to FIGS. 1 and 2, the fuel management integrated management system 100 of the present invention is connected to a plant information system (PIS) server 200 and connected to a PIS Fuel management will be integrated and managed, including long-term inventory forecasting for coal, type change of coal, and real-time combustion prediction, as well as economic evaluation for all fuel / combustion systems.

The fuel operation integrated management system 100 of the present invention includes a coal supply and demand management unit 110, a coal mining management unit 120, a combustion predicting unit 130, a cost analysis unit 140, a material flow cost management unit 150, (160).

The hybrid management system 300 is connected to the fuel operation integrated management system 100 to manage the mixed operation.

FIG. 3 is a view showing a process of setting up a self-mixing / carburizing plan.

FIG. 3 shows a constraint / goal setting step S1, a seed selection step S2, an automatic recommendation step S3, and a confusion plan determination step S4.

In the constraint / goal setting step (S1), the planning time, the operation state by each unit, the preliminary differentiator, the number of honeytones, and the target value of blending (various values such as calorific value, sulfur content and moisture can be set) are set.

In the seedling selection step S2, a usable bituminous coal is set.

In the auto recommendation step (S3), automatic recommendation of the blending plan based on the total cost / sustainable time is made (including the arrangement by the differentiator).

In the confusion plan determination step (S4), optimum cointegration is established.

4 is a view showing a process for predicting long-term stock for each denomination.

FIG. 4 shows a low carbon status step (S11), a wiring plan step (S12) for registering a main wiring plan, a low carbon status / wiring plan, and a fuel property standard. A recommendation step (S13), and a long-term stock forecasting step (S14) for estimating possible bullet-type depletion time, shuttle occurrence time, and property constraint time.

FIG. 5 is a view showing the process of providing the combustion type change point and the real-time combustion prediction (operation value / predicted value).

5, there are shown a coal tracking step S21 for providing information on the silos coal change of the current time, a combustion prediction step S22 for providing predicted values and real time operation values according to the properties of the bituminous coal and the operating conditions, (Step S23) of providing a driving tip, which provides a failure range, a cause of occurrence of a problem, a predicted problem, a check and a corrective action, and a stall curve of the fan.

FIG. 6 is a view showing a process of providing economic evaluation information on the fuel / combustion system.

FIG. 6 shows a list and a chart of cost information (fuel cost, operating cost, maintenance cost, sales amount, marginal profit) for each day / season by analyzing fuel / operation / maintenance cost for each day / And a cost / benefit analysis step (S32).

In the fuel operation integrated management system 100 of the present invention, the coal supply and demand management unit 110 manages the supply and demand status of coal including inventory status, long-term inventory trend, fuel property and mixed fuel characteristics, wiring and unloading plan. It performs the function configured as shown in Table 1 below.

Main Category Middle class Explanation
Supply and demand of coal
(Coal Supply)
management Inventory Status Chart Provides graphs of past stock trends by type of coal Inventory Status List Daily inventory, unloading status, list of consumption by coal type
Long-term inventory trend chart Based on the information stored in the long-term blending plan, we provide long-term forecasts of stocks, co-calorific value, and coarse sulfur in various graphs.
Long-term inventory list Based on the information stored in the long-term blending plan, it provides a list of long-term predicted values of coal type stock, co-calorific value, and coarse sulfur.

Fuel Properties Provides a list of the average stocks of current stocks and the average expected stocks after the current day.
The average inventory quality of the current inventory is calculated from the information input through the list of the unloading plan and inventory status, and the average expected property to be received is calculated based on the information input through the wiring plan
Molten fuel composition Provides a list of anti-discriminatory information for hunting, and it is possible to modify and inquire about the characteristics of each lane. Wiring plan inquiry Wiring plans are provided as a calendar and list, and wiring schemes can be modified.
Wiring plan registration Provides a list of existing wiring plans and new wiring plans and allows modification of the wiring plans that will be shown in wiring planning inquiries and long-term hybrid planning. Unloading plan Provides list of unloading plans and results and automatically calculates the number of days to be laid and the number of days to be laid
Inventory Trend Report Provides reports on the current highs and coal growth (current and wiring plans) of the selected date, long-term inventory trend information

As shown in Table 1, the coal supply and demand management unit 110 predicts the coal long term inventory as shown in FIG. 4 and provides it as a chart or a list. FIG. 7 shows an example of a long-term inventory trend chart.

In the chart of long term stocks shown in FIG. 7, the stock amount per day is provided in a graph form, so that the stock status can be grasped at a glance.

The coal supply and demand management unit 110 also provides a wiring plan inquiry screen as shown in Fig. 8 so as to inquire the registered wiring plan. In the wiring schedule inquiry screen shown in Fig. 8, wiring schemes are provided in the form of a calendar and a list. In the calendar, the burden and shipment amount are indicated by the day of the week, and the list includes general information including loading (wiring) , Sulfur content, and total water content. Here, the upper right corner of the screen has an information modification item, and the registered wiring plan can be modified.

The chaos management unit 120 manages the blending by setting a short-term blueprint in consideration of the low-tender inventory, the loading status, the current status, and the operating constraints for each unit. The coarse management unit 120 also manages the cointegration by establishing a long-term cointegration plan in consideration of the low-carbon inventory, the wiring plan, and the anti-discrimination characteristic. This performs the function configured as shown in Table 2 below.

Main Category Middle class Explanation Bluff
(Coal Blending)
management Low inventory Provides the status of low-fiduciary status and unloading status as of 06:00 by day.
Loading unloading sample Provides a list of sample information (5,000 tons of total water, calorific value, sulfur analysis result), heat value and coefficient of variation of sulfur (standard deviation). Invoicing materials Provides list of anti-discrimination invoice data information Inspection result Provides list of anti-discrimination analysis results Carbon unburned carbon Provides a list of untreated carbon and soot analyzes by Shift Consumption of calories Provides a list of results of spending analysis (calorific value, total moisture) by date Result Provides a list of the results of the consumption of shot by shift


Short-term blueprint planning Automatically proposes a short-term blast project considering the low-carbon inventory, the loading status, the current status, and the operating constraints for each unit
In step 1, we set the start time, the minimum use time, the sorting method, the operation / non-operation of each dispenser, the number of mixed seeds, and the target value (calorific value, sulfur content, total moisture, After selecting the available seeds in step 2, go to step 3 and automatically recommend a short-term blending plan based on total cost or sustainable time.

Long-term blueprint planning Automatically recommends a long-term hybrid plan considering low-value inventories, wiring plans and anti-discrimination
In the first stage, the planning period, O / H information, and the target value (heat value, sulfur content, total water content) are set, and when the recommendation command is issued in step 2, the bituminous coal, bituminous coal, To automatically create a long-term blending plan
Provides lists and charts of stocks, frictional heat, and coarse sulfur. Hyundai plan / view result Provides the function of adding, modifying, deleting, and querying the blueprint plan stored in the short-term blast project.

Mixed Plan / Results Report Show a report of the blueprints confirmed in the blueprint plan / results inquiry
It is composed of the screen showing the information about the characteristics of the presently used and the future mixed-use plan and the future mixed-use plan, the screen showing the main characteristic information, the screen showing the main combustion characteristic predicted value information of the blending plan,

As shown in Table 2, the coarse management unit 120 provides the low-inventory inventory status as shown in FIG.

The coarse management unit 120 also establishes a short-term blast scheme in three stages as shown in Figs. 10A to 10C.

In the first step, the target value is set as shown in FIG. 10A. At this time, the plan start time, the minimum use time, the sorting method, and the like are set, and the operation state, the operation mode of the differentiator, The target value of the mixed gas such as the calorific value, the sulfur content, and the total moisture is set.

In the second step, usable seeds are selected as shown in FIG. 10B.

In the third step, as shown in FIG. 10C, the short-term blurring plan is automatically recommended based on the total cost or the sustainable time in consideration of the contents set and selected in steps 1 and 2.

The hybrid management system 300 efficiently performs the hybrid management according to the hybrid recommended plan automatically recommended by the fuel management integrated management system 100 of the present invention.

The combustion predicting unit 130 predicts the combustion timing of the next coal seed and the combustion of the main system of the power generation facility in connection with the real time operation information input from the PIS server 200. It performs the function configured as shown in Table 3 below.

Main Category Middle class Explanation Combustion prediction
(Combustion Prediction)
Coal Feeding System Provides silo coal change information of current time
The information on the lottery information is based on the amount of coal and the level information of each lot, the time when the coal is completely consumed, and the information on the lottery provides the name and ratio of the coal to the new coal.

Differentiator Provides combustion predictions and operating values for the main items of the differentiator of the current time.
It compares the predicted combustion information and the real-time PI value through the blending scheme entered in the short-term blending plan, and provides the judgment result based on the item-based judgment criteria, and the judgment is composed of good and bad
Click on the driving tip view to provide information on the extent of fault, cause of occurrence, expected problems, inspection and remedies for each item.

Boiler Provides combustion predictive values and operating values of the main items of the boiler at the present time.
It compares the predicted combustion information and the real-time PI value through the blending scheme entered in the short-term blending plan, and provides the judgment result based on the item-based judgment criteria, and the judgment is composed of good and bad
Click on the driving tip view to provide information on the extent of fault, cause of occurrence, expected problems, inspection and remedies for each item.

Ventilation equipment Provides combustion predictive values and operating values of the main items of ventilation equipment of the present time.
It compares the predicted combustion information and the real-time PI value through the blending scheme entered in the short-term blending plan, and provides the judgment result based on the item-based judgment criteria, and the judgment is composed of good and bad
Click on the driving tip view to provide information on the extent of fault, cause of occurrence, expected problems, inspection and remedies for each item.
IDF, FDF, and BUF, and selecting the stall curve of the judgment information shows the stall curve information of the corresponding fan.

Environmental facility Provides combustion predicted values and operating values of the main items of environmental facilities of the present time.
It compares the predicted combustion information and the real-time PI value through the blending scheme entered in the short-term blending plan, and provides the judgment result based on the item-based judgment criteria, and the judgment is composed of good and bad
Click on the driving tip view to provide information on the extent of fault, cause of occurrence, expected problems, inspection and remedies for each item.

Combustion prediction
report Provides report on the combustion characteristics of major items by facility
The facility is divided into differentiator, boiler, ventilation system, and environmental system facility.
Among the main items, items without combustion prediction calculation are provided as real-time operation values.

As shown in Table 3, the combustion predicting unit 130 estimates the current amount of coal, the time at which the coal is completely consumed for each silo, It provides the charm and ratios to be offered.

The combustion predicting unit 130 also provides a driving tip through predicting major system firing. In FIG. 12, real-time boiler efficiency prediction is performed. When the driving tip view at the upper right is selected, the combustion predicting driving tip screen is popped up Is displayed.

The cost analysis unit 140 analyzes the cost information, the fuel cost, the operation cost, and the maintenance cost for each date and time, and the material flow cost management unit 150 quantifies the cost through the material flow cost analysis (MFCA) We conduct economic evaluation of all systems. This performs the function configured as shown in Table 4 below.

Main Category Middle class Explanation Cost analysis
(Cost Analysis) Cost / benefit Provides list and chart of cost information (fuel cost, operating cost, maintenance cost, sales, marginal profit) per date / time Fuel cost Provides a list of fuel cost information and power unit information by date / unit.
The fuel cost information provides a list of design char- acter, fuel cost by coal, and cost difference information for the consumer, and the cost difference is calculated as the cost of design tin-to-consumer
Power Generation Screen provides cost, coal, power, water, hydrochloric acid, caustic soda, ammonia, and limestone unit cost information by date and expiration date. Operating cost Provides list of operating cost information by date / expiry / facility
It provides a list of operating cost and cost difference information for design bullets and consumed bulbs, and the cost difference is the cost of design bullet-consumed bullet for power generation facilities and environmental facilities. Maintenance cost Provides list of maintenance expense information by date / expiry / facility
The design cost, cost difference information and cost difference information list for the design shot, consumed shot are provided on the screen of the whole machine maintenance cost and the maintenance cost for each machine. Cost Analysis Report Report on the total cost of the selected date, fuel cost, operating cost, and maintenance cost information.
The design cost, cost of consumption, and cost difference information list of the selected date are provided by each unit. Operating cost and maintenance cost are displayed in detail for each facility, and the cost difference is the same as the cost difference for each function Material Flow Cost Management
(MFCA) Material Flow Cost Information on MFCA (Material Flow Cost Analysis) is input by process, and loss and loss ratio information is provided as a graph. Main Flow MFCA provides information on input and loss of major processes on a monthly basis Detail Flow Monthly input of MFCA's total process input and loss information Maintenance cost Provides a list of maintenance cost information for each date / unit / facility. MFCA Reports Provides MFCA cost information for the selected date, MFCA analysis entered,

As shown in Table 4, the cost analysis unit 140 calculates the cost information including the fuel cost, the operation cost, the maintenance cost, and the profit information including the sales amount, the fuel cost, and the total profit by date It provides graph charts and lists.

The comprehensive report western part (160) provides the daily report and inventory report of the selected date, the mixed plan report, the combustion prediction report, and the cost analysis report. Meanwhile, the fuel operation integrated management system 100 of the present invention has a user setting function to allow a user to modify a program. This performs the function configured as shown in Table 5 below.

Main Category Middle class Explanation
Comprehensive report
(Report)
Comprehensive report Outputs daily and inventory trend reports for the selected date, mixed planning report, combustion forecast report, and cost analysis report
The daily report provides a summary of key information on coal inventory, blending plans, combustion forecasts, and cost / benefit information.

User settings
(Option) Edit formula Provides the ability to modify formulas to calculate predicted values. Modify driving tips Provides the ability to modify driving tip information
Enter maintenance costs Provides the function to calculate the actual cost and coal usage input, average coal configuration information, and the unit cost of the input information to calculate the maintenance cost. OH setting Provides the ability to modify O / H information Power Generation Unit Setting Provides the ability to input water, hydrochloric acid, and caustic soda values per unit. Update charge Provides the ability to update cost information of cost analysis again Enter sales Provides the ability to enter sales figures Enter the results It provides the function to input the differentiator ratio of coal by each unit. User rights Provides the ability to manage the addition, modification and deletion of users
User Management Information Log Provides the ability to view user log-in, log-out, and history of adding, modifying, and deleting users
Available only to system administrators

In the fuel management integrated management system 100 of the present invention, a hybridization algorithm is implemented to recommend automatic blending according to differentiators, instantaneously inquires the fuel combustion characteristics for the main system related to the operation of the power plant and the fuel characteristics for the blending, do.

In addition, it can easily visualize the type and location of stocks, inventory, etc., by using low-tinted low-carbon and graphical status of loading and unloading of vessels, contributing to the unloading / blending plan, and the long-term blending algorithm that reflects the wiring plan, low- And the long-term stock forecasting program based on the type of coal.

By implementing the coal supply system linked with real-time operation information, it contributes to the stable power generation operation by providing the burning point of the next burnt seed. It increases the burning prediction index through various burning tests and makes the operation / It also contributes to the stable operation of the plant by providing the real-time comparison function of the main system operation / prediction information such as the boiler efficiency prediction and the operation / combustion tip for the predicted value.

In addition, it is possible to quantify the cost of maintenance due to the mixed performance by combining the measurement of the operating cost with the measurement of the amount of power consumption and the fuel property through the various combustion tests, the reduction of the service life due to the fuel characteristic, It is possible to implement an economical evaluation system of the system before the combustion.

100: Fuel operation integrated management system 110: Coal supply and demand management department
120: coarse management unit 130: combustion predicting unit
140: Cost Analysis Unit 150: Material Flow Cost Management Unit
160: Comprehensive report west

Claims (10)

A PIS server for collecting and providing operation information in real time to the power plant; And
And a fuel operation integrated management system connected to the PIS server via a network and integratedly managing fuel operation in connection with real time operation information,
Wherein the fuel operation integrated management system comprises:
A coal supply and demand management department to manage the supply and demand status of coal including inventory status, long-term inventory trend, fuel property and mixed fuel characteristics, wiring and unloading plan;
It is necessary to establish a short-term blueprint plan considering the low-carbon inventory, the loading status, the current blueprint, and the operating constraints for each blast furnace, and establish a long-term blueprint plan considering low- ;
A combustion predicting unit for predicting the combustion timing of the next coal seed and the main system of the power generation facility in connection with the real time operation information;
And a cost analysis unit for analyzing cost information, fuel cost, operating cost, and maintenance cost for each date and time,
The churning management unit sets the start time, the minimum use time, the sorting method, the operation state by each unit, the number of driving the differentiator, the number of the mixed seeds, and the target value of the mixed seed in the step 1, Or short-term hybrid planning information of the future based on the sustainable time is automatically generated and displayed on the screen,
The combustion predicting unit provides the screen to the current amount of coal, the time at which the coal is completely consumed, the burnt burden to be next buried, the current burden of the current coal and the buried coal in the silo,
The combustion predicting unit provides combustion predicted values and operating values of a differentiator, a boiler, a ventilation facility, and an environmental facility. The combustion predicting unit compares the predicted combustion information and the real- And provides a driving tip including a predicted problem and a checking action on a screen. The coal supply and demand management system according to claim 1,
Based on daily inventory and unloading status, consumption by type of coal, and information stored in long-term blast furnace planning, the inventory of coal type, the calorific value of coals, the long-term predicted value of coarse sulfur, the average inventory quality after the present day, Provide a list of anti-discrimination information, cargo plans and results,
The wiring management plan is provided as a calendar and a list. The coal supply and demand management system according to claim 2,
Calculating an average inventory characteristic of the stock based on the information input from the unloading plan and inventory status list, and calculating the average property of the stock based on the information input through the wiring plan. The coal supply and demand management system according to claim 2,
It is possible to modify and inquire the characteristics of each lane in the list of the mixed fuel properties,
And the wiring plan can be modified from the wiring plan inquiry and registration list. 5. The fuel management integrated management system according to any one of claims 2 to 4, wherein the coal supply and demand management unit provides a report on the present value of the selected date, coal growth information, and long-term inventory trend information. The hybrid car according to claim 1,
Provides a picture of the status of shrinking by day and the status of unloading,
The results of analysis of unburned carbon and soot by shift, the results of analysis of spent carbon by date, the results of consumption by cargo by shift,
Long-term inventory, low-calorific value, and coarse sulfur in lists and charts. delete delete [7] The apparatus according to claim 6,
The fuel management integrated management system is characterized by showing the confirmed hybridization plan including the information about the currently used hybrid plan and the changed type of hybrid plan and the ratio, the property information, and the predicted combustion characteristics of the hybrid plan. delete

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