CN117391336A - Method and related equipment for determining combustion blending result of thermal generator set - Google Patents
Method and related equipment for determining combustion blending result of thermal generator set Download PDFInfo
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Abstract
The embodiment of the application discloses a thermal power generating unit combustion blending result determining method and related equipment, which can reduce the operation cost of a power-assisted thermal power plant, thereby improving the capacity of resisting the operation risk of the thermal power generating unit. The application comprises the following steps: acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel for combustion no matter how much the heat value is; determining target marginal conditions of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture; obtaining benefits generated by the various coal types under the target marginal condition; and carrying out income analysis on various coal types to obtain income results.
Description
Technical Field
The embodiment of the application relates to the technical field of generator sets, in particular to a method for determining a combustion blending result of a thermal generator set and related equipment.
Background
In order to meet the requirement of urban green development, green low-carbon development is an important target for the improvement of enterprise technology based on a double-carbon background, wherein in the field of power generation of a generator, a circulating fluidized bed boiler is valued for a long time in China due to the advantages of excellent fuel type adaptability, pollution control economy, operation range flexibility and the like, and in recent years, great progress is achieved, and the international development of the field is led. However, due to the fact that the conventional circulating fluidized bed boiler for burning single coal is limited by the price of fuel for a long time, the current severe operating situation is not supported, and the existing treatment mode is to consider the furnace standard list singly to be changed into the comprehensive cost of coal, the problem that other fees rise due to the fact that the standard list is pursued on one side, the maximum marginal contribution cannot be obtained, and the capability of the thermal generator set for resisting the operating risk is low.
Disclosure of Invention
The embodiment of the application provides a method and related equipment for determining a combustion blending result of a thermal power generating unit, which are used for quantitatively calculating the combustion comprehensive cost by changing a single consideration of a furnace standard bill into consideration of coal comprehensive cost, so that the optimal blending result of each coal type is determined, the problem that other fees rise due to pursuing a low standard bill on one side is avoided, the operation cost of a power-assisted thermal power plant is reduced, and the capacity of resisting the operation risk of the thermal power generating unit is improved.
The first aspect of the application provides a method for determining a combustion blending result of a thermal generator set, which comprises the following steps:
acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel for combustion no matter how much the heat value is;
determining target marginal conditions of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
obtaining benefits generated by the various coal types under the target marginal condition;
obtaining a benefit result by carrying out benefit analysis on various coal types, wherein the benefit result comprises a power generation marginal benefit and a fuel marginal benefit, the power generation marginal benefit is a benefit of generating one-degree power without considering fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering fixed cost;
sorting the income results from high to low, and selecting the coal with the top rank as an alternative for blended combustion fuel;
substituting the alternatives of the blended fuel into a blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain an optimal blending result.
Optionally, obtaining the benefits generated by the various coal types under the target marginal condition includes:
acquiring the use cost of various coal types;
under the target marginal condition, acquiring electricity selling income and carbon quota surplus income according to the energy efficiency of the unit;
and obtaining the benefits generated by various coal types under the target marginal condition according to the electricity selling income, the carbon quota surplus income and the use cost.
Optionally, the obtaining the use cost of various coal types includes:
the method comprises the steps of obtaining the factory cost, the receiving and unloading cost, the maintenance material cost of the coal conveying system equipment, the maintenance material cost of the boiler system equipment, the urea cost, the limestone cost, the byproduct disposal cost and the financial cost for various coal types.
Optionally, under the target marginal condition, the obtaining electricity selling income and carbon culture surplus income according to the unit energy efficiency includes:
under the target marginal condition, electricity selling income and surplus income of carbon quota are obtained according to the energy efficiency of the unit, wherein the electricity selling income T=S (1-Y) V, T represents electricity selling income, S represents electricity generating capacity, Y represents comprehensive station service electricity consumption, and V represents electricity selling unit price;
y=y1+y2+y3+y4+y5, wherein Y1 represents the electricity consumption rate of electric dust removal, Y2 represents the electricity consumption rate of a boiler, Y3 represents the electricity consumption rate of conveying various coal types, Y4 represents the electricity consumption rate of desulfurization, and Y5 represents the electricity consumption rate of other equipment;
the carbon quota surplus revenue g= (P-J) W, where G represents carbon quota revenue, P represents carbon quota, J represents carbon emission, and W represents carbon quota trading average.
Optionally, after substituting the alternatives of the blended fuel into the blending model, calculating the target benefits after blending, and sorting according to the target benefits, so as to obtain an optimal blending result, the method further includes:
substituting the optimal blending result into a marginal profit calculation model;
and comparing the benefits obtained by calculating the marginal benefit calculation model with the benefits obtained by the conventional coal types fed into the furnace, and calculating an actual blending creation value result.
Optionally, the determining the target marginal condition of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data includes:
determining an initial marginal condition according to the combustion test data, the boiler operation history data and the design value;
and correcting the moisture correction data to the initial marginal condition to obtain a target marginal condition, wherein the moisture correction data is data for correcting the moisture of various coal types to the same moisture.
Optionally, substituting the alternatives of the blended fuel into a blending model, calculating a target gain after blending, and sorting according to the target gain to obtain an optimal blending result, including:
substituting the alternatives of the blended fuel into a blending model, and calculating the target benefits after blending through the blending model;
and sequencing the target benefits from large to small so as to obtain an optimal blending result, wherein the optimal blending result is the blended fuel with the maximum target benefits.
The second aspect of the application provides a thermal generator set combustion blending result determining system, comprising:
the first acquisition unit is used for acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel combustion no matter how much in heat value;
a determining unit for determining target marginal conditions of combustion according to the combustion test data, boiler operation history data, design values and moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
the second acquisition unit is used for acquiring the benefits generated by the various coal types under the target marginal condition;
a third obtaining unit, configured to obtain a benefit result by performing a benefit analysis on various coal types, where the benefit result includes a power generation marginal benefit and a fuel marginal benefit, where the power generation marginal benefit is a benefit of generating a degree of electricity without considering a fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering a fixed cost;
the ranking unit is used for ranking the benefit results from high to low, and selecting the coal types ranked at the front as the alternatives of the blended combustion fuel;
and the substituting unit is used for substituting the alternatives of the blended fuel into the blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain the optimal blending result.
A third aspect of the present application provides a thermal power generating set combustion blending result determining device, including:
a processor, a memory, an input-output unit, and a bus;
the processor is connected with the memory, the input/output unit and the bus;
the memory stores a program, and the processor calls the program to execute the thermal power generation set combustion blending result determination method according to any one of the first aspect and the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having a program stored thereon, which when executed on a computer performs the thermal power generation set combustion blending result determination method according to any one of the first aspect and the first aspect.
From the above technical solutions, the embodiments of the present application have the following advantages:
the combustion blending result determining method of the thermal generator set firstly obtains combustion test data of a boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler, and various coal types can be used as a single fuel combustion working condition no matter how much in heat value; then determining target marginal conditions of combustion according to combustion test data, boiler operation history data, design values and moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture; obtaining the benefits generated by various coal types under the target marginal condition; then carrying out gain analysis on various coal types to obtain gain results, wherein the gain results comprise power generation marginal gain and fuel marginal gain, the power generation marginal gain is the gain of generating one-time electricity without considering the fixed cost, and the fuel marginal gain is the gain of combusting one ton of fuel without considering the fixed cost; finally, sorting the income results from high to low, and selecting the coal with the top rank as an alternative for blending the fuel; substituting the alternatives of the blended fuel into the blending model, calculating the target benefits after blending, and sequencing according to the size of the target benefits to obtain the optimal blending result.
Furthermore, the method and the device have the advantages that the single consideration of the furnace standard list is changed into the consideration of the comprehensive cost of coal, and the comprehensive cost of combustion is quantitatively calculated, so that the optimal blending result of various coals is determined, the problem that other fees rise due to the pursuit of low standard list on one side is avoided, the operation cost of a power-assisted thermal power plant is reduced, and the capability of resisting the operation risk of a thermal generator set is improved.
Drawings
FIG. 1 is a schematic diagram of one embodiment of a method for determining combustion blending results of a thermal power generation unit according to the present application;
FIG. 2 is a schematic diagram of an embodiment of a method for determining a combustion blending result of a thermal power generation unit according to the present application;
FIG. 3 is a schematic diagram of the relationship between the boiler efficiency and the load factor in the method for determining the combustion blending result of the thermal generator set;
FIG. 4 is a schematic diagram of ash and boiler efficiency relationship in the method for determining combustion blending results of a thermal power generating unit according to the present application;
FIG. 5 is a schematic diagram of the relationship between the heat consumption and the load factor of a steam turbine in the method for determining the combustion blending result of the thermal generator set;
FIG. 6 is a schematic diagram of predicting a reference value of a carbon quota emission factor power supply in a method for determining a combustion blending result of a thermal generator set according to the present application;
FIG. 7 is a schematic diagram of unit cost of maintenance materials of a coal conveying system in the method for determining the combustion blending result of the thermal generator set;
FIG. 8 is a schematic diagram of a unit cost of a maintenance material of a coal conveying system in a method for determining a combustion blending result of a thermal generator set according to the present application;
FIG. 9 is a schematic diagram of an embodiment of a thermal genset combustion blending result determination system of the present application;
FIG. 10 is a schematic view of an embodiment of a combustion blending result determination device for a thermal power generation set according to the present application.
Detailed Description
At present, the traditional circulating fluidized bed boiler for burning single coal type is not enough to support the current severe operation situation, and the existing treatment mode is to consider the single consideration of the furnace standard list to be changed into the consideration of the comprehensive cost of coal, so that the problem that the pursuit of low standard list on one side causes the rise of other fees can occur, the maximum marginal contribution can not be obtained, and the capacity of the thermal generator set for resisting the operation risk is lower.
Based on the method, the method and the related equipment for determining the combustion blending result of the thermal power generating unit are provided, the single consideration of the furnace standard list is changed into the consideration of the coal comprehensive cost, and the combustion comprehensive cost is quantitatively calculated, so that the optimal blending result of each coal type is determined, the problem that other fees rise due to the fact that the standard list is pursued to be low on one side is avoided, the operation cost of a power-assisted thermal power plant is reduced, and the capacity of resisting the operation risk of the thermal power generating unit is improved.
Referring to fig. 1, fig. 1 is a schematic diagram of an embodiment of a method for determining a combustion blending result of a thermal generator set according to a first aspect of the present application, including:
101. acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel for combustion no matter how much the heat value is;
for a thermal generator set, how to blend and burn the most valuable fuel is a key factor for determining the profit or the loss of an enterprise, the blended and burned fuel can be gangue, sludge or other non-coal fuel, the factors affecting the comprehensive cost of the enterprise fuel are scientifically and comprehensively enumerated, various relations among the factors are effectively checked, and the method is a key point for accurately calculating the blending and burning creation value of the thermal generator set.
At present, the traditional calculation of the blended combustion wound value of the fuel only considers the influence of the calorific value of the coal on the economy of the boiler, namely, the calorific value and the price of the blended combustion fuel are converted into the standard coal unit price, and then the standard coal unit price is compared with the standard coal unit price converted from raw coal purchased from a coal mine, so that the wound value is simply calculated, only the most required standard form is on one side, and the influence of other elements in the fuel on the economy of a thermal generator set is ignored. Therefore, a scientific and comprehensive calculation scheme of the blending combustion value of the thermal generator set is required for realizing quantitative calculation of blending combustion factors of the coal blending of the thermal generator set.
Firstly, combustion test data of a boiler under a target working condition is required to be acquired, wherein the target working condition is to carry out limit processing on the combustion working condition of the boiler, under the target working condition, the heat values generated when various coal types are combusted in the boiler can be acquired, the acquired heat values of the various coal types generated by combustion in the boiler are acquired under the limit state, the heat values possibly achieved in practical application are different from the acquired heat values under the limit working condition, and the numerical values of the differences are not particularly limited in the application. In the present application, the combustion heat value of the obtained coal under the limiting working condition is taken as the combustion test data, and after the combustion test data of various coals under the target working condition of the boiler is obtained, step 102 is executed.
102. Determining target marginal conditions of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
in the embodiment of the application, after combustion test data of various coal types are obtained, boiler operation history data, design values and moisture correction data are further obtained, wherein it is required to be noted that initial marginal conditions are determined according to the combustion test data of various coal types, the boiler operation history data and the design values, after the initial marginal conditions are determined, in order to avoid different moisture among the various coal types, measuring and calculating accuracy is affected, therefore, all the coal types are corrected to the same moisture, moisture correction data are obtained, and after the moisture correction data are substituted into the initial marginal conditions, target marginal conditions are obtained.
103. Obtaining benefits generated by the various coal types under the target marginal condition;
after the target marginal condition is determined, calculating the benefits generated by various coal types according to the target marginal condition, specifically, firstly obtaining the use cost of the various coal types, then obtaining electricity selling income and carbon quota surplus income according to unit energy efficiency under the target marginal condition, adding the obtained electricity selling income and carbon quota surplus income to obtain total income, and subtracting the use cost from the obtained total income to obtain the benefits generated by various coal types under the target marginal condition.
It should be noted that, under the target marginal condition, electricity selling income and carbon quota surplus income are obtained according to unit energy efficiency, and the electricity selling income and carbon quota surplus income are obtained by separately calculating various coal types, for example: the method comprises the steps of calculating the total of 5 kinds of coal, and calculating the use cost, electricity selling income and surplus income of carbon quota of the 5 kinds of coal respectively, so as to obtain the income of each kind of coal under the target marginal condition.
104. Obtaining a benefit result by carrying out benefit analysis on various coal types, wherein the benefit result comprises a power generation marginal benefit and a fuel marginal benefit, the power generation marginal benefit is a benefit of generating one-degree power without considering fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering fixed cost;
in the embodiment of the application, after obtaining the income situation of each coal type, the income situation of each coal type is analyzed to obtain the income result, wherein the income result is divided into the power generation marginal income and the fuel marginal income, the two kinds of income are obtained under the condition of not considering the fixed cost, and then the income of burning one ton of fuel under the condition of not considering the fixed cost according to the heat value converted into standard coal.
105. Sorting the income results from high to low, and selecting the coal with the top rank as an alternative for blended combustion fuel;
in the embodiment of the present application, after obtaining the revenue receiving result, the revenue results are ranked from high to low, that is, the power generation marginal revenue and the fuel marginal revenue are ranked from high to low, and then the coal with the top rank is selected as an alternative for blended fuel, for example: the ten top coal types or five top coal types of the profit result ranking are selected as alternatives of the blended fuel, and specific ranking can be set according to actual conditions without specific limitation.
106. Substituting the alternatives of the blended fuel into a blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain an optimal blending result.
In the embodiment of the application, the alternative of the blended fuel is substituted into the blending model, the target benefits after blending are calculated through the blending model, then the target benefits are ordered from large to small, so that an optimal blending result is obtained, the optimal blending result is the blended fuel with the maximum target benefits, after the optimal blending result is obtained, the optimal blending result is substituted into the marginal benefit calculation model, the benefits calculated by the marginal benefit calculation model are compared with the benefits obtained by the conventional coal types, and the actual blending creation value result is calculated. Therefore, the problem that other fees rise due to the fact that a low standard bill is pursued on one side is avoided, the operation cost of a power-assisted thermal power plant is reduced, and accordingly the capacity of resisting operation risks of a thermal power generating unit is improved.
Referring to fig. 2, fig. 2 is a schematic diagram of another embodiment of a method for determining a combustion blending result of a thermal power generating unit according to a first aspect of the present application, including:
201. acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel for combustion no matter how much the heat value is;
in the embodiment of the present application, step 201 is similar to step 101 described above, and will not be described herein.
202. Determining target marginal conditions of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
the method comprises the steps of firstly determining initial marginal conditions according to combustion test data, boiler operation history data and design values, and determining the initial marginal conditions through secondary marginal conditions and primary marginal conditions, wherein the marginal conditions comprise constant variables and relative variables.
Constant amount: the fuel to plant contains no tax unit price, fuel (received base) heating value, fuel (received base) ash, fuel (received base) moisture, fuel (received base) sulfur mass fraction, fuel (received base) carbon mass fraction, fuel (received base) nitrogen mass fraction.
Relative variables: basic total moisture, basic ash, basic boiler efficiency, turbine heat rate, pipeline efficiency, load rate, net electricity price (without tax), ash variation impact unit value on boiler efficiency, unit charge for receiving and discharging, unit charge for coal transportation, unit charge for boiler, unit charge for electric dust removal, unit charge for desulfurization, other system power consumption, urea unit price, S conversion rate, beggar sulfur mole ratio (out of furnace), beggar sulfur mole ratio (in furnace), in-furnace desulfurization efficiency, limestone unit price (without tax), carbon quota average price (without tax), coal transportation system maintenance cost, boiler system maintenance cost, unit charge for urea, average SO2 emission, average smoke emission, average NOx emission, SO2 emission unit price, smoke emission unit price, mechanical incomplete loss, slag occupation proportion, fly ash occupation proportion, slag water content, gypsum external water content, whole plant desulfurization efficiency, byproduct disposal unit price, tax (atmosphere, solid) rate, and financial and environmental protection rate of loan.
The secondary marginal conditions may be referred to in table 1, and the primary marginal conditions may be referred to in table 2:
TABLE 1
TABLE 2
Correcting the first-level marginal condition to data under the same moisture to obtain a target marginal condition, uniformly correcting the first-level marginal condition to 5% moisture in the example, and calculating by using the following formula:
heat value of fuel (5% moisture) = (100-5) received base heat value/(100-received base moisture)
Mass fraction of fuel elemental sulfur (5% moisture) = (100-5)/(mass fraction of base elemental sulfur/(100-base moisture)
Mass fraction of fuel element carbon (5% moisture) = (100-5) ×mass fraction of base element carbon received/(100-base moisture received)
Mass fraction of fuel element nitrogen (5% moisture) = (100-5)/(mass fraction of base element nitrogen/(100-base moisture)
Plant-in fuel ash (5% moisture) = (100-5) received base plant fuel ash/(100-received base moisture)
To-factory tax free (5% moisture) = (100-5) received base to-factory tax free/(100-received base moisture).
According to the above formula, the following data are derived:
| logical calculated value | Unit (B) | Ore 1 | Ore 2 | Ore 3 | Ore 4 |
| Heat value of fuel to be supplied into factory | kcal/kg | 4053.28 | 4187.88 | 693.45 | 1945.61 |
| Mass fraction of elemental sulfur of fuel | ％ | 0.56 | 2.10 | 2.30 | 0.97 |
| Mass fraction of elemental carbon of fuel | ％ | 44.38 | 45.85 | 7.59 | 21.30 |
| Mass fraction of elemental nitrogen of fuel | ％ | 0.60 | 0.59 | 0.58 | 0.60 |
| Incoming fuel ash | ％ | 38.91 | 37.22 | 73.30 | 57.12 |
| Tax-containing price to the factory | Yuan/ton | 370.15 | 372.24 | 4.27 | 139.87 |
Molar ratio of calcium to sulfur: refers to the amount of sulfur dioxide produced by combustion of coal removed by a calcium-based desulfurizing agent, and the amount of sulfur dioxide added to the desulfurizing agent to increase the desulfurizing efficiency is the ratio of the number of moles of calcium oxide to the number of moles of sulfur dioxide. In the example, the desulfurization removal rate in the furnace is 70 percent, and the molar ratio of calcium to sulfur is 2; the removal rate outside the furnace is 30 percent, and the molar ratio of calcium to sulfur is 1.05.
Calculate the integrated calcium sulfur molar ratio= (in-furnace removal rate x in-furnace calcium sulfur molar ratio + out-of-furnace removal rate x out-of-furnace calcium sulfur molar ratio).
203. Obtaining benefits generated by the various coal types under the target marginal condition;
in the embodiment of the application, the income generated by various coal types under the target marginal condition is obtained through electricity selling income, carbon quota surplus income and use cost, and the method is specific:
the use cost includes: the fuel to plant cost, the receiving and unloading cost, the coal conveying system equipment maintenance material cost, the boiler system equipment maintenance material cost, the urea cost, the limestone cost, the environmental tax (atmosphere), the byproduct disposal cost, the environmental tax (solid waste) and the financial cost. Wherein:
1. fuel to plant cost
Fuel to plant cost = fuel to plant unit price (without tax) raw coal charge;
and correcting and calculating the raw coal quantity entering the furnace according to the energy efficiency and ash influence of the unit.
2. Cost of connection and disconnection
Charge-discharge cost = charge-discharge unit cost = charge-in raw coal amount.
3. Maintenance material cost of coal conveying system equipment
Coal conveying system equipment maintenance material cost = coal conveying system maintenance material unit cost;
calculating the unit cost of the maintenance materials of the coal conveying system: the maintenance material cost in the statistical period, the ash content of the coal fed into the furnace in the statistical period, the coal quantity fed into the furnace in the statistical period and the ash content and the coal quantity are used as fitting functions.
4. Maintenance material cost for boiler system equipment
Boiler system equipment maintenance material cost = boiler system maintenance material unit cost × raw coal quantity charged into boiler
Calculating the unit cost of the maintenance materials of the boiler system: and (3) counting the normal maintenance material cost and period of the boiler, counting the ash content of the boiler coal in the maintenance period, counting the coal content of the boiler coal in the maintenance period, and taking the ash content and the coal content as fitting functions.
5. Cost of urea
Urea cost = urea unit consumption (t/t) × raw coal amount charged to furnace × urea unit price;
counting urea unit consumption (g/kWh), and measuring and calculating the urea unit consumption by taking the unit consumption in a counting period as a reference;
the urea consumption is measured by urea unit consumption, nitrogen element mass fraction and coal feeding amount.
6. Cost of limestone
Limestone cost = ((raw coal amount sulfur conversion rate/sulfur molecular mass-SO 2 emission amount/SO 2 molecular mass) × calcium sulfur molar ratio × limestone molecular mass/limestone purity) × limestone unit price.
7. Environmental protection tax (atmosphere)
1) SO2 emission tax = SO2 average outlet emission amount x smoke amount (standard condition)/pollution equivalent number x tax rate;
2) Smoke emission tax = smoke average outlet emission amount × smoke amount (standard condition)/pollution equivalent number × tax rate;
3) NOx emission tax = NOx average outlet emission amount x smoke amount (standard condition)/pollution equivalent x tax rate.
8. Environmental protection tax (solid waste)
Environmental tax (solid waste) =byproduct disposal amount tax rate.
9. By-product disposal fees
Byproduct disposal fee = byproduct disposal amount × disposal unit price.
10. Financial cost
The coal purchasing occupies financial funds.
The electricity sales income includes: the electricity selling income T=S (1-Y) V, wherein T represents the electricity selling income, S represents the electricity generating capacity, Y represents the comprehensive plant power utilization rate, and V represents the electricity selling unit price.
Comprehensive power utilization rate: y=y1+y2+y3+y4+y5, where Y1 represents the electricity consumption of the electric dust collector, Y2 represents the electricity consumption of the boiler, Y3 represents the electricity consumption of conveying various kinds of coal, Y4 represents the electricity consumption of desulfurization, and Y5 represents the electricity consumption of other equipment.
The carbon quota surplus revenue includes: g= (P-J) W, where G represents carbon quota revenue, P represents carbon quota, J represents carbon emissions, and W represents carbon quota trading average.
204. Obtaining a benefit result by carrying out benefit analysis on various coal types, wherein the benefit result comprises a power generation marginal benefit and a fuel marginal benefit, the power generation marginal benefit is a benefit of generating one-degree power without considering fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering fixed cost;
205. sorting the income results from high to low, and selecting the coal with the top rank as an alternative for blended combustion fuel;
206. substituting the alternatives of the blended fuel into a blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain an optimal blending result.
207. Substituting the optimal blending result into a marginal profit calculation model;
208. and comparing the benefits obtained by calculating the marginal benefit calculation model with the benefits obtained by the conventional coal types fed into the furnace, and calculating an actual blending creation value result.
To further illustrate the blending results, the present application provides the following examples for specific illustration, and the data obtained in the above examples are further illustrated:
the fuel take-off costs typically consist of labor and loader lease costs, with a fuel take-off unit cost of about 0.54 yuan/ton, based on the environmental budget of the present example.
Fuel charge = fuel charge per unit charge;
taking a 350MW thermal generator set as an example, the generating capacity is calculated according to a load rate of 60% in one hour;
generating capacity = installed capacity = crew load rate = 350mwh 60%;
referring to fig. 3, a graph of load factor and boiler efficiency of a thermal generator set according to an embodiment of the present application calculates a 60% load factor of a boiler.
Boiler efficiency (basis) = (3.4042 ln (load factor x 100) + 78.683)/100;
referring to fig. 4, a graph of a relationship between ash of a thermal power generating unit and boiler efficiency is provided in an embodiment of the present application, and an effect of ash of a fuel entering the boiler on the boiler efficiency is calculated.
Ash effect on boiler efficiency = 0.06% > (base ash-fuel ash);
actual boiler efficiency = boiler efficiency (base) + ash impact on boiler efficiency.
Referring to fig. 5, a graph of a load rate and a turbine heat rate of a thermal generator set according to an embodiment of the present application calculates a turbine heat rate:
turbine heat rate = -0.0033 x power (load rate, 3) +0.874 x power (load rate, 2) -82.456 x load rate +10681;
calculating the power generation coal consumption according to the power industry standard DL/T904-2015;
power generation coal consumption = turbine heat rate/(boiler efficiency duct efficiency 29307.6) 106;
according to the obtained solutions, the coal consumption of the computer group is calculated;
total standard coal consumption in furnace = generated coal consumption;
total raw coal charge = total standard coal charge 7000/calorific value of fuel charged;
since the calculation of marginal benefits of fuel is pursued in this example, the loss of the heat value of the in-plant fuel is not considered, and the heat value of the in-plant fuel is assumed to be the heat value of the in-plant fuel;
calculating electricity selling income of the unit according to the obtained solutions;
electricity revenue = electricity amount x electricity unit price;
sales amount = generation amount (1-comprehensive station service power);
comprehensive power consumption = production power consumption + non-production power consumption = boiler system power consumption + desulfurization system power consumption + dust removal power consumption + coal conveying system power consumption + steam turbine system power consumption + chemical system power consumption + non-production power consumption;
power consumption rate of boiler system= (unit power consumption of boiler system total standard coal amount for system combustion)/power generation amount;
power consumption rate of desulfurization system= (unit consumption of desulfurization system total raw coal amount for combustion of system fuel sulfur content)/power generation amount;
power consumption of the dust removing system= (unit consumption of the dust removing system, fly ash production amount)/power generation amount;
power consumption rate of coal conveying system= (coal conveying system unit consumption total raw coal amount for system combustion)/power generation capacity;
the power consumption rate of the gas turbine system, the power consumption rate of the chemical system and the power consumption rate of non-production are calculated by taking a fixed value because no specific relation exists between the power consumption rate and the fuel quantity;
as the carbon quota is already incorporated into the power industry and the quota price goes high along with the tightening of the policy, the carbon quota is deduced according to the current market situation in the case and is incorporated into calculation;
spreading quota revenue= (carbon quota-carbon emission) carbon quota trade unit price;
(network electricity quantity x network electricity quantity carbon quota factor x correction factor-total raw coal quantity for system combustion x raw coal element content x 44/12/100) carbon quota trade unit price/10000;
according to fig. 6, the online electric quantity carbon quota factor in this case is predicted to be 0.9253;
the correction coefficient is calculated and selected according to a function in the energy consumption limit of the cogeneration unit product of GB 35574-2017;
calculating fuel cost;
fuel cost = fuel to plant unit price total raw coal for combustion;
maintenance cost of the coal conveying system;
coal conveying system equipment maintenance material cost = coal conveying system maintenance material unit cost ash ratio total raw coal amount for combustion;
calculating and obtaining the maintenance material unit cost of the coal conveying system according to FIG. 7;
the maintenance cost of the boiler system;
boiler system equipment maintenance material cost = boiler system maintenance material unit cost ash ratio total raw coal quantity for combustion;
calculating and obtaining the maintenance material unit cost of the coal conveying system according to FIG. 8;
calculating the fuel combustion auxiliary material cost, wherein the material cost of the current thermal power plant mainly comprises urea for denitration and limestone for desulfurization in order to meet the environmental protection requirement;
urea cost for denitration=urea unit consumption (t/t) ×raw coal amount charged to furnace×urea unit price;
limestone cost for desulfurization= ((raw coal amount sulfur separation sulfur conversion rate/sulfur molecular mass-SO 2 emission amount/SO 2 molecular mass) ×calcium sulfur molar ratio limestone molecular mass/limestone purity) ×limestone unit price;
environmental protection tax (atmosphere)
SO2 emission tax = SO2 average outlet emission amount x smoke amount (standard condition)/pollution equivalent number x tax rate;
smoke emission tax = smoke average outlet emission amount × smoke amount (standard condition)/pollution equivalent number × tax rate;
NOx emission tax = NOx average outlet emission amount x smoke amount (standard condition)/pollution equivalent x tax rate;
smoke amount (standard condition) = (0.01 (mass fraction of 1.867 carbon+0.7 sulfur+100+0.8 nitrogen) + (0.2413 received base heat value/1000 4.1868+0.5) 0.79+0.74) total raw coal consumption 1000;
environmental tax (solid waste);
environmental tax (solid waste) =byproduct disposal amount tax rate;
byproduct amount = boiler produced ash amount + gypsum amount;
byproduct disposal fees;
byproduct disposal fee = byproduct disposal amount × disposal unit price;
financial cost, accounting for financial funds of coal purchasing;
financial cost = fuel procurement cost × pre-payment ratio × 1.85/100/12 × pre-payment period (month).
Obtaining various values according to the calculation logic function, and analyzing the marginal gain of power generation and the marginal gain of fuel
Marginal benefit = income-cost) = electricity selling income + carbon quota income-unloading cost-fuel cost-coal conveying system equipment maintenance material cost-boiler system equipment maintenance material cost-urea cost-limestone cost-environmental tax by-product disposal cost-financial cost;
power generation marginal benefit = marginal benefit/power generation;
fuel marginal benefit = marginal benefit/fuel raw coal amount;
according to the above calculation logic, the following data are obtained:
| unit (B) | Ore 1 | Ore 2 | Ore 3 | Ore 4 | |
| Marginal power generation collectionBenefit (benefit) | Yuan/WankWh | 1302.90 | 1228.33 | 1067.24 | 1384.59 |
| Marginal benefit of fuel (raw coal) | Yuan/ton | 250.8 | 244.5 | 34.3 | 126.4 |
| Marginal benefit of fuel (standard coal) | Yuan/ton | 433.1 | 408.8 | 346.6 | 454.7 |
Referring to fig. 9, fig. 9 is a schematic diagram of an embodiment of a combustion blending result determining system of a thermal power generating unit according to a second aspect of the present application, including:
the first obtaining unit 901 is configured to obtain combustion test data of the boiler under a target working condition, where the target working condition is a working condition that a limit is processed on a combustion working condition of the boiler, and it is assumed that various kinds of coal can be used as a single fuel for combustion no matter how much of a heat value is;
a determining unit 902 for determining target marginal conditions of combustion based on the combustion assay data, boiler operation history data, design values, and moisture correction data, the moisture correction data being data for correcting moisture of various coal species to the same moisture;
a second obtaining unit 903, configured to obtain benefits generated by the various coal types under the target marginal condition;
a third obtaining unit 904 configured to obtain a benefit result including a power generation marginal benefit and a fuel marginal benefit, the power generation marginal benefit being a benefit of generating a degree of electricity without considering a fixed cost, the fuel marginal benefit being a benefit of burning one ton of fuel without considering a fixed cost;
the ranking unit 905 is configured to rank the benefit results from high to low, and select a coal with a top rank as an alternative for blended combustion of fuel;
and a substituting unit 906, configured to substitute the alternatives of the blended fuel into a blending model, calculate a target benefit after blending, and rank the blending according to the target benefit, so as to obtain an optimal blending result.
Referring to fig. 10, fig. 10 is a schematic diagram of an embodiment of a combustion blending result determining apparatus of a thermal power generating unit according to a third aspect of the present application, including:
a processor 1001, a memory 1002, an input/output unit 1003, and a bus 1004;
the processor 1001 is connected to the memory 1002, the input-output unit 1003, and the bus 1004;
the memory 1002 stores a program, and the processor 1001 calls the program to execute the thermal generator set combustion blending result determination method according to any one of the first aspect and the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having a program stored thereon, which when executed on a computer performs the thermal power generation set combustion blending result determination method according to any one of the first aspect and the first aspect.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM, random access memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Claims (10)
1. A method for determining combustion blending results of a thermal generator set is characterized by comprising the following steps:
acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel for combustion no matter how much the heat value is;
determining target marginal conditions of combustion according to the combustion test data, the boiler operation history data, the design value and the moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
obtaining benefits generated by the various coal types under the target marginal condition;
obtaining a benefit result by carrying out benefit analysis on various coal types, wherein the benefit result comprises a power generation marginal benefit and a fuel marginal benefit, the power generation marginal benefit is a benefit of generating one-degree power without considering fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering fixed cost;
sorting the income results from high to low, and selecting the coal with the top rank as an alternative for blended combustion fuel;
substituting the alternatives of the blended fuel into a blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain an optimal blending result.
2. The method for determining combustion blending results of a thermal power generator according to claim 1, wherein obtaining the gains generated by the various kinds of coal under the target marginal condition comprises:
acquiring the use cost of various coal types;
under the target marginal condition, acquiring electricity selling income and carbon quota surplus income according to the energy efficiency of the unit;
and obtaining the benefits generated by various coal types under the target marginal condition according to the electricity selling income, the carbon quota surplus income and the use cost.
3. The method for determining combustion blending results of a thermal power generator according to claim 2, wherein the obtaining of the usage cost of various kinds of coal comprises:
the method comprises the steps of obtaining the factory cost, the receiving and unloading cost, the maintenance material cost of the coal conveying system equipment, the maintenance material cost of the boiler system equipment, the urea cost, the limestone cost, the byproduct disposal cost and the financial cost for various coal types.
4. The method for determining combustion blending results of a thermal power generator according to claim 2, wherein the obtaining electricity selling income and carbon culture surplus income according to unit energy efficiency under the target marginal condition comprises:
under the target marginal condition, electricity selling income and surplus income of carbon quota are obtained according to the energy efficiency of the unit, wherein the electricity selling income T=S (1-Y) V, T represents electricity selling income, S represents electricity generating capacity, Y represents comprehensive station service electricity consumption, and V represents electricity selling unit price;
y=y1+y2+y3+y4+y5, wherein Y1 represents the electricity consumption rate of electric dust removal, Y2 represents the electricity consumption rate of a boiler, Y3 represents the electricity consumption rate of conveying various coal types, Y4 represents the electricity consumption rate of desulfurization, and Y5 represents the electricity consumption rate of other equipment;
the carbon quota surplus revenue g= (P-J) W, where G represents carbon quota revenue, P represents carbon quota, J represents carbon emission, and W represents carbon quota trading average.
5. The method for determining a combustion blending result of a thermal power generating unit according to claim 1, wherein after substituting the candidate of the blended fuel into a blending model, calculating a target gain after blending, and sorting according to the target gain, the method further comprises:
substituting the optimal blending result into a marginal profit calculation model;
and comparing the benefits obtained by calculating the marginal benefit calculation model with the benefits obtained by the conventional coal types fed into the furnace, and calculating an actual blending creation value result.
6. The method for determining a combustion blending result of a thermal power generation unit according to claim 1, wherein the determining a target boundary condition of combustion based on the combustion assay data, boiler operation history data, design values, and moisture correction data comprises:
determining an initial marginal condition according to the combustion test data, the boiler operation history data and the design value;
and correcting the moisture correction data to the initial marginal condition to obtain a target marginal condition, wherein the moisture correction data is data for correcting the moisture of various coal types to the same moisture.
7. The method for determining a combustion blending result of a thermal power generating unit according to claim 1, wherein substituting the alternatives of the blended fuel into a blending model, calculating a target gain after blending, and sorting according to the target gain to obtain an optimal blending result, comprises:
substituting the alternatives of the blended fuel into a blending model, and calculating the target benefits after blending through the blending model;
and sequencing the target benefits from large to small so as to obtain an optimal blending result, wherein the optimal blending result is the blended fuel with the maximum target benefits.
8. A thermal power generation unit combustion blending result determination system, comprising:
the first acquisition unit is used for acquiring combustion test data of the boiler under a target working condition, wherein the target working condition is a working condition of carrying out limit treatment on the combustion working condition of the boiler and assuming that various coal types can be used as single fuel combustion no matter how much in heat value;
a determining unit for determining target marginal conditions of combustion according to the combustion test data, boiler operation history data, design values and moisture correction data, wherein the moisture correction data is data for correcting moisture of various coal types to the same moisture;
the second acquisition unit is used for acquiring the benefits generated by the various coal types under the target marginal condition;
a third obtaining unit, configured to obtain a benefit result by performing a benefit analysis on various coal types, where the benefit result includes a power generation marginal benefit and a fuel marginal benefit, where the power generation marginal benefit is a benefit of generating a degree of electricity without considering a fixed cost, and the fuel marginal benefit is a benefit of combusting one ton of fuel without considering a fixed cost;
the ranking unit is used for ranking the benefit results from high to low, and selecting the coal types ranked at the front as the alternatives of the blended combustion fuel;
and the substituting unit is used for substituting the alternatives of the blended fuel into the blending model, calculating the target benefits after blending, and sequencing according to the target benefits to obtain the optimal blending result.
9. A thermal power generating set combustion blending result determining device, characterized by comprising:
a processor, a memory, an input-output unit, and a bus;
the processor is connected with the memory, the input/output unit and the bus;
the memory holds a program, and the processor calls the program to execute the thermal power generation set combustion blending result determination method according to any one of claims 1 to 7.
10. A computer-readable storage medium having a program stored thereon, which when executed on a computer performs the thermal genset combustion blending result determination method according to any one of claims 1 to 7.
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