57 results about "Embodied carbon" patented technology

The invention relates to the technical field of building energy conservation and carbon emission, in particular to a building full-life-period carbon emission calculation method based on running carbon and implicit carbon, and the method specifically comprises the following steps: building carbon emission calculation models of a reference building and a design building; the whole life period of the building is divided into running carbon and implicit carbon; constructing a three-level index system, namely a total amount index, a strength index and a relative index; respectively calculating the emissions of operating carbon and implicit carbon of the two carbon emission calculation models; respectively carrying out carbon reduction calculation on the two carbon emission calculation models; calculating a total carbon emission amount index and an intensity index of the two carbon emission models, and further calculating a relative index; and judging whether the carbon emission of the designed building reaches the standard or not according to the third-level index result, and if not, readjusting. According to the method, a building full-life-period carbon emission calculation model containing running carbon and implicit carbon is constructed, the calculation precision is improved in combination with a three-level index system, and design optimization of zero-carbon buildings and green buildings can be assisted.

The invention discloses a coal-fired boiler combustion optimization method, system and equipment based on machine learning and a medium, and belongs to the technical field of boiler operation optimizing.The method comprises the steps that operation parameter data and generated fly ash carbon content data are collected; constructing a machine learning model, and performing primary training on the machine learning model; the number of operation parameter data is reduced, secondary training is performed on the machine learning model, and the optimal parameter number is determined according to the fitting effect; screening the operation parameter data, and reserving the operation parameter data of which the quantity accords with the optimal parameter quantity; the method comprises the following steps: constructing a fly ash carbon content prediction model, optimizing an extreme value of the fly ash carbon content prediction model through an optimization algorithm, and determining an optimal boiler combustion operation parameter, and solves the problems that the actual measurement workload is large and the lowest fly ash carbon content cannot be obtained by only depending on a thermal-state multi-working-condition test and easily deviating from the optimal working condition; the existing prediction method has the problems that a local optimal solution is easy to generate and the generalization ability of a model is low.

The invention provides an evaluation method and system for carbon emission factors of fuel and a storage medium, and relates to the technical field of environmental protection and energy conservation, and the method comprises the steps: obtaining a plurality of historical carbon emission factors corresponding to the fuel and historical data of external factors; based on the historical carbon emission factors and the historical data of the external factors, screening out influence factors corresponding to the carbon emission factors from the external factors; based on the influence factors, determining significant influence factors corresponding to the carbon emission factors; matching each significant influence factor with different weight coefficients, and acquiring actual data of each significant influence factor; and determining an actual carbon emission factor based on the weight coefficient and the actual data. Under the condition that the carbon emission does not need to be accurately measured, a professional laboratory is not needed to carry out chemical analysis on the carbon content and the carbon oxidation rate of fossil fuel to obtain the fuel carbon emission factor, the time hysteresis of carbon emission accounting is effectively shortened, and the requirements of enterprises for real-time monitoring of carbon emission and dynamic adjustment of the production process are met.

The invention belongs to the technical field of carbon materials, particularly relates to an application of a carbon material taking soot as a carbon source in an energy storage device, and provides a preparation method of a regenerated carbon material for soot particulate matters discharged by a diesel engine, for the first time, the soot is put forward as a nanoscale conductive carbon material source, the raw material source is stable, and the cost is nearly zero; as the diesel soot is a carbonized product (the carbon content is greater than 80%), the independent activation or pre-carbonization step required by preparing a carbon material by taking biomass or a polymer precursor as a raw material is omitted, the production process can be simplified, and the energy consumption can be reduced; the carbon material obtained after one-step activation and carbonization process treatment is carried out on soot particles discharged by a diesel engine, and the carbon material obtained after treatment is good in conductivity and can be used as a supercapacitor electrode material, a lithium ion battery negative electrode material, a conductive agent or other conductive carbon materials.

The application discloses a circulating fluidized bed boiler with ash partition measurement, comprising: a furnace, a separator and an ash parameter analysis system; the furnace has at least two regions in the circumferential direction, and a bottom slag sampling device for obtaining a bottom slag sample of each region is arranged below each region; a separator is correspondingly arranged above each region, and a fly ash sampling device is arranged at the separator outlet flue at the top of each separator, which is used for obtaining a fly ash sample of the corresponding region; the ash parameter analysis system is in communication with the bottom slag sampling device and the fly ash sampling device. The ash parameter partition measurement method is adopted to quickly obtain the particle size distribution and carbon content of the ash in different regions, the obtained data are used to guide the operation personnel to accurately adjust the fuel quantity, air quantity, circulating material and slag discharge quantity of different regions, the local fluidization is reduced, the combustion in the oxygen deficiency region is improved, the content of combustible substances in the ash is reduced, and the overall fuel combustion efficiency is improved.

The invention discloses a simplified online monitoring method for the combustion efficiency of a power station boiler, and belongs to the technical field of thermal equipment performance state monitoring and diagnos.The method comprises the steps that unit generation power, the fuel quantity, the total air volume and coal composition parameters are collected; calculating fuel converted carbon content, lower calorific value, theoretical air quantity and excess air coefficient; defining a carbon burnout coefficient and a fuel characteristic coefficient, and constructing and iteratively solving an incomplete combustion equation taking the carbon burnout coefficient as an unknown number; and calculating the combustion efficiency of the boiler according to the solved carbon burnout coefficient. According to the method, the carbon contents of the fly ash and the slag are unified to the carbon burn-out coefficient, and based on combustion mechanism derivation, high-precision and all-working-condition online monitoring of the boiler combustion efficiency can be realized without an additional expensive monitoring instrument, and the technical problem that the boiler combustion efficiency is difficult to accurately monitor online is solved.

The invention relates to the technical field of bituminous coal carbon content prediction, and discloses a bituminous coal coal quality industrial analysis-based unit calorific value carbon content prediction method, which comprises the following steps of 1, sampling a target coal type for industrial analysis, and detecting the total moisture Mt, the ash content Aar, the volatile component Var and the fixed carbon FCar content of the target coal type; measuring the calorific value of the sampled coal to obtain the lower calorific value Qnet, ar of the coal type; step 2, calculating a dry ash-free basis volatile component Vdaf and a lower calorific value Qnet, daf of the target coal type; 3, predicting the carbon content CQdaf of the dry ash-free basis unit calorific value of the target coal type; and step 4, calculating the unit calorific value carbon content CQar of the target coal type. According to the method, the unit calorific value carbon content of the bituminous coal can be accurately predicted, and coal purchase is guided; the coal carbon content is further calculated by using the unit calorific value carbon content calculated by the method, the prediction precision is very high, and the correlation coefficient can reach 1-10-10.

This invention discloses a low-carbon peak-shaving system and method for using ammonia-blended fuel. The low-carbon peak-shaving system includes a coal-fired boiler, a coal-fired burner, an ammonia burner, a coal-fired generator, a clean energy generator, an ammonia preparation device, an ammonia storage system, ammonia pipelines, a first switch, a second switch, a third switch, a first transformer, a second transformer, a third transformer, output lines, and a power grid. The ammonia preparation device, the ammonia storage system, and the ammonia burner are connected via ammonia pipelines. This invention utilizes the excess electricity generated by the coal-fired unit to produce ammonia, enabling the actual grid-connected power of the coal-fired unit to reach the required grid-connected power. Under full load of the coal-fired unit, ammonia is injected into the main combustion zone of the furnace using a suitable flow rate and method, while controlling the combustion stability within the furnace and the NO at the furnace outlet. X Under the premise that the concentration and carbon content of fly ash have a relatively small impact, the system's renewable energy absorption capacity and carbon emissions can be effectively improved.

The invention discloses a coal gasification fine slag incineration system which comprises a sorting device, a first drying device, a conveying device, a granulating device and an incineration device. Wherein the sorting device is used for separating the gas refining slag into a first material and a second material, and the carbon content of the first material is larger than that of the second material; the first drying device is used for drying a first material, and the first drying device is communicated with the black water tank; the conveying device is used for conveying the dried first material; the granulating device is used for treating the dried first material and obtaining a granular material; the incineration device is used for incinerating particle materials. According to the coal gasification fine slag incineration system, due to the fact that the first material is sorted out and incinerated, the heat value of the material entering the incineration device can be increased; the first material forms a particle material and enters the incineration device, so that the retention time of the material in the incineration device can be prolonged. Therefore, the combustion efficiency and the burn-off rate of the coal gasification fine slag can be improved.

Composite materials and methods of manufacturing the same are described herein. The composite materials include electrochemically synthesized carbon structures manufactured using CO2 as a carbon source. The composite structures can further include cellulosic fibers and carbon waste fibers. The composite materials are manufactured using a method which provides negative embodied carbon in the composite material.

The application discloses a multi-parameter regulated boiler combustion efficiency dynamic optimization method. The specific operation steps are as follows: real-time acquisition of combustion parameters from a power plant system, pre-processing of the collected original data, and feature selection after data pre-processing; the feature data selected and pre-processed are taken as input according to time sequence to construct an IGWO-transformer prediction model; taking the degree of electricity coal consumption, nitrogen oxide emission concentration and fly ash carbon content as optimization targets, a NSGA-III algorithm is used for multi-objective optimization; aiming at the control requirements of the feature data, an independent PID controller is configured for each control object, the actual value collected is compared with the target set value, the control deviation is calculated as the input signal of the PID controller, and the controller is driven to perform dynamic adjustment. The application has the beneficial effects that the data processing and generalization ability are enhanced, accurate prediction and regulation are realized, and the combustion efficiency is improved; the economy and environmental protection are balanced, and dynamic optimization is realized.

The application discloses a method for determining a blast furnace gas blending ratio of a coal-fired power plant boiler, which comprises the following steps: firstly, assuming a mass ratio z of the blast furnace gas entering the boiler to the actual burned coal; secondly, performing CO2 balance calculation by using the input coal quality characteristic parameters, the blast furnace gas characteristic data, the fly ash carbon content, the slag carbon content, the existing operation flue gas dry basis oxygen content, the dry basis CO2 volume fraction and the dry basis CO volume fraction; thirdly, obtaining the real mass ratio z of the blast furnace gas entering the boiler to the actual burned coal by iterative calculation of the CO2 balance; and finally, determining the final blast furnace gas blending ratio by combining the unburned combustible material with the supplied fuel mass ratio l u The application can determine the blast furnace gas blending ratio of the coal-fired power plant boiler, so as to meet the thermal state operation requirements of the coal-fired power plant, improve the economic operation level of the unit, and also can strengthen the accurate supervision on the blast furnace gas blending ratio.

The application discloses a biomass efficient low-nitrogen staged coupling combustion boiler with a double-layer arrangement, which comprises a lower reciprocating water tube boiler and an upper WNS fire tube boiler, wherein the WNS fire tube boiler is installed on the upper portion of the reciprocating water tube boiler; the reciprocating water tube boiler is composed of a biomass gasification furnace located at the front half portion and a mixed combustion furnace located at the rear half portion; a water-cooled furnace wall interval is arranged between the biomass gasification furnace and the mixed combustion furnace, and the bottom portions are communicated through a reciprocating grate; and a biomass gas outlet of the biomass gasification furnace is connected with a biomass burner installed in the WNS fire tube boiler. The biomass efficient low-nitrogen staged coupling combustion boiler with the double-layer arrangement has the advantages of simple structure, high operation efficiency, suitability for raw materials with different shapes and sizes, stable operation, small production intensity, easy processing and manufacturing, high matching property with a subsequent gas utilization system, safe and stable work, extremely low carbon content of the finally discharged residues, zero emission of pollutants, and the like, and is a model of circular economy and is suitable for various industries with steam demand.

Various embodiments include cementitious compositions with low levels of embodied greenhouse gas emissions, in particular carbon dioxide, as a result of its production and / or use compared to conventional cementitious materials, such as portland cement. Various embodiments include any cementitious material or materials with low embodied carbon, as well as any material produced using this cement.

The application discloses a kind of boiler combustion monitoring method and device, including to monitoring unit injection flue gas;Carbon dioxide concentration is detected to air inlet end and data is recorded;By injecting oxygen in reaction furnace, carbon particles in flue gas can be fully combusted in furnace;Carbon dioxide concentration is detected to air outlet end and data is recorded;The difference of carbon dioxide concentration in different ports determines how much residual carbon carried in flue gas.The beneficial effects of the present application are that by real-time detection of fly ash carbon content, it is convenient for staff to quickly record data and feedback maintenance, which is beneficial to guide the correct adjustment of wind-coal ratio and improve the level of boiler combustion control;Reasonably control the index of fly ash carbon content, which is beneficial to reduce power generation cost and improve the economy of unit operation.

This invention discloses a method, system, and medium for calculating emissions from fuel engines based on the hydrogen balance method, relating to the field of data processing technology. The method first acquires data such as fuel composition, emission concentration, intake air flow rate, temperature, and humidity; then calculates the actual exhaust mass flow rate based on the intake air flow rate or fuel flow rate; finally, it combines the exhaust molar mass and NO... x The system calculates pollutant mass flow rate by applying correction factors and pollutant concentrations. It includes data acquisition, exhaust flow calculation, and pollutant flow calculation units. This invention replaces carbon balance with hydrogen balance, is not limited by fuel carbon content, and is compatible with low-carbon and zero-carbon fuels such as highly hydrogen-blended fuels, methanol, pure hydrogen, and pure ammonia. Coupled with intake air humidity, turbocharging and intercooling, and exhaust component correction, it significantly improves the accuracy of exhaust flow rate and pollutant emission calculations, solving the problem of traditional carbon balance methods failing under zero-carbon fuel conditions. It is suitable for accurate emission measurement and certification of various engines.

Disclosed in the present invention is a systematic carbon emissions reduction method for a whole process of steel production and casting, comprising the steps of: hydrogen injection in a blast furnace. Hydrogen comes from a nuclear hydrogen production system, hydrogen production based on water electrolysis, and hydrogen production based on coke oven gas-steam reforming; electric energy consumed by hydrogen production based on water electrolysis comes from gas power generation, steam residual pressure power generation, solar power generation, wind energy power generation, and nuclear power generation; combustible gas used for gas power generation is coke oven gas, blast furnace gas, and converter gas; steam in steam residual pressure power generation comes from a sintering waste heat boiler; steam in hydrogen production based on coke oven gas-steam reforming is low-pressure steam after residual pressure power generation; the final product is a cast steel profile, a casting material of a high-carbon spheroidal graphite cast iron profile having a carbon content of 2-4% and a silicon content of 2-4%, and a casting material of a high-carbon spheroidal graphite cast steel profile having a carbon content of 1-2% and a silicon content of 1-1.9%; the waste of the final product enters a converter or an electric furnace for cyclic smelting.

The invention discloses an in-furnace low-cost and high-efficiency desulfurization operation method of a sintering flue gas collaborative purification device, explores a desulfurization method for creating an oxygen-deficient atmosphere in a hearth, and realizes stable combustion and high-efficiency and stable operation of a boiler at the same time. The oxygen content of tail smoke is adjusted to 3%-4%, the carbon content of furnace bottom slag is adjusted to 2% or below, and the carbon content of fly ash is adjusted to 6% or below; the supply amount of sintering flue gas input into a hearth is gradually reduced, the excess air coefficient of the boiler is adjusted to be 1.1 or below according to the ratio of the supply amount of the solid waste fuel of the boiler to the supply amount of the sintering flue gas, and the boiler is made to work in the state that the oxygen content of tail flue gas is 3%-4%, the carbon content of furnace bottom slag is 2% or below, and the carbon content of fly ash is adjusted to be 6% or below; and gradually reducing the injection of the CaCO3 desulfurizer into the hearth, and determining the flow of the CaCO3 desulfurizer injected into the hearth on the premise of meeting the environmental protection index of the sulfur content in the tail flue gas of the boiler.

The invention discloses a sintering method and system for grading carbon distribution. Comprising a batching unit, a mixing unit and a grading storage unit, the batching unit consists of a plurality of sintering batching bins and is used for preparing various sintering raw materials with different carbon contents in different time periods according to process requirements; the mixing unit at least comprises a primary mixing chamber and a secondary mixing chamber, raw materials are preliminarily mixed in the primary mixing chamber, so that various raw material components are preliminarily and uniformly distributed, and then the raw materials enter the secondary mixing chamber to be deeply mixed, so that the mixing uniformity of the raw materials is ensured; the graded storage unit comprises an unloader and a plurality of blending bins, the mixed materials are conveyed to the graded storage unit through a sealing-tape machine, the unloader unloads the materials to the corresponding blending bins, and graded storage of the materials with different carbon contents is achieved; wherein each blending bin is used for storing a material with one carbon content. According to the method, accurate carbon supply can be achieved in a graded carbon distribution mode, waste of carbon resources is reduced, sintering energy consumption is remarkably reduced, and the economical efficiency of sintering production is improved.

The invention discloses a method for predicting unit calorific value carbon content based on coal quality industrial analysis data. The method comprises the following steps: 1, acquiring multi-database coal type industrial analysis data, element analysis data and calorific value; 2, calculating dry ash-free basis volatile components, hydrogen elements, carbon elements, sulfur elements and lower calorific values of the database coal types; step 3, calculating a carbon hydrogen ratio and a unit calorific value carbon content of a dry ash-free base of the coal type in the database; step 4, through linear fitting, respectively obtaining a function relationship between a volatile component, a sulfur content, a calorific value and a carbon content per unit calorific value of the coal type drying ash-free basis in the database; 5, a new parameter A0 is obtained, and the new parameter and the unit calorific value carbon content are subjected to linear fitting; 6, sampling the target coal for industrial analysis, and detecting the calorific value and the sulfur content of the target coal at the same time; step 7, calculating dry ash-free basis volatile sulfur content, lower calorific value and parameter A0 of the target coal type; 8, predicting the dry ash-free basis unit calorific value carbon content of the target coal type; step 9, calculating the unit calorific value carbon content of the target coal type; the method can accurately predict the unit calorific value carbon content of the bituminous coal, and guides the coal purchase.

The invention relates to a pulverized coal fluidized bed gasifier and an operation method, in particular to a pulverized coal fluidized bed gasifier capable of improving circulation ratio and an operation method. The invention aims to solve the problems of high specific coal consumption and low carbon conversion rate caused by the fact that gas in the gasification furnace flows back into a blanking pipe and the circulating ratio of fly ash is too low. The material return unit is installed in the material return pipe, the pressure is reduced and the speed is increased after a water vapor laval nozzle is sprayed, and circulating ash at the inlet of the gradually-shrinking inlet section is injected into the second throat pipe. Mixed working media are violently mixed in the second throat pipe, and the speed is reduced after energy and momentum exchange, so that the pressure in the material return pipe is increased, and airflow in the furnace is prevented from reversely flowing to the cyclone separator; meanwhile, more fly ash particles are introduced into the gasification furnace, so that the carbon content of fly ash is reduced, the amount of ash circulating back to the gasification furnace is increased, and the carbon conversion rate is improved. The method is applied to the fields of production of chemical synthesis or fuel oil synthesis feed gas, industrial fuel gas, civil gas, metallurgical reducing gas, combined cycle power generation fuel gas and the like.

The application provides a building construction unit-based building materialization stage carbon emission calculation method, according to building design and building construction atlas, the building is divided into several building construction units, and the carbon emission of the building construction unit in the building materialization stage is calculated, and the calculation result is taken as the carbon emission factor of the building construction unit; the building construction unit family coding information is given in the Revit model, and the number of various building construction units is obtained by using the detail table. Then the carbon emission of the building materialization stage is calculated by using the Excel VBA program. The application provides the building construction unit carbon emission factor, by means of the building construction unit carbon emission factor, the carbon emission calculation process of the building in the materialization stage is simplified; the building construction unit carbon emission factor database is formed, which can be used for multiple times of the same type of project, so that the carbon emission calculation work of the building materialization stage of the subsequent project is simplified.

This invention provides a highly efficient combustion control method and system based on deep convolutional neural networks. It uses an all-around camera inside the furnace to image the flame, and then utilizes a deep convolutional neural network model to learn and diagnose combustion efficiency indicators. This obtains key combustion information without intrusive flame detection inside the furnace, and boasts advantages such as low latency and high reliability. Furthermore, the combustion control method, which uses predicted CO and ash carbon content as the core control benchmarks, has a natural advantage in improving combustion efficiency and maintains CO emissions at a highly controllable level, representing a major direction for future combustion control technology development. Additionally, using existing waste heat boiler outlet oxygen content and chimney CEMS as auxiliary control indicators ensures the entire combustion control mode is flawless and safe. This solution addresses the challenges of large load fluctuations in incinerators, difficulty in controlling instantaneous CO exceedances, and high excess air coefficients, thereby increasing combustion safety and improving combustion efficiency.

The invention relates to a fly ash carbon content prediction method and device, computer equipment and a storage medium. Comprising the following steps: determining a plurality of key influence factors influencing the coal-fired boiler fly ash carbon content; at the target moment, multiple pieces of target operation data, corresponding to the key influence factors, of the coal-fired boiler are obtained; and inputting the plurality of target operation data into a pre-trained target fly ash carbon content prediction model to obtain a target fly ash carbon content corresponding to the target moment. In this way, redundant influence factors can be eliminated, and then the subsequent calculation complexity of key influence factors is reduced; and the prediction accuracy of the carbon content of the fly ash is improved.

The present invention relates to a solar energy harvesting system preferably mounted in a relatively flat position and isolated from its external operating weather environment to maximize automated installation, minimize embodied carbon dioxide footprint, and minimize deployment and environmental uncertainties driving up total installed system cost. The environmental weather isolation further empowers solar design features by minimizing and isolating structural design load requirements away from the objects receiving the solar energy through a multifunctional film that isolates the objects receiving solar energy from the weather.

This application discloses a method and related equipment for adjusting carbon content, relating to the field of industrial control technology. The method is used in a sintering process, which includes a primary batching process and a secondary batching process. The secondary batching chamber for performing the secondary batching process is closer to the sintering machine than the primary batching chamber for performing the primary batching process. The method includes: obtaining actual and target index values ​​for the sintered ore, wherein the actual index value is related to the carbon content of the sintered material; and adjusting the secondary target carbon content in the secondary batching process when a first difference between the actual index value and the target index value is greater than a first preset threshold, so that the first difference is less than or equal to a second preset threshold, wherein the second preset threshold is less than the first preset threshold.

A construction system utilizes a post-and-beam structure that supports major gravity loads of a building in combination with prefabricated exterior and / or interior wall panels that are not required to support gravity loads beyond self-weight. Studs within the prefabricated wall panels are oriented such that a widest face thereof is other than normal to the wall surfaces attached thereto. Such an orientation of the wall studs reduces or eliminates thermal bridging in the structure without adding materials, thereby reducing embodied carbon and embodied energy content. The orientation of the wall studs also maximizes the available space within the wall panels to accommodate electrical and plumbing utilities and insulation material and utilizes the studs along their strong axis to resist lateral loads.

The utility model discloses a flexible and adjustable ammonia-doped pulverized coal boiler combustion system, which comprises a pulverizing device, a combustor and a horizontal boiler which are connected in sequence, a plurality of ammonia injection devices are arranged below the horizontal boiler, each ammonia injection device comprises a nozzle with adjustable angle, flow and / or flow velocity, and the nozzle is connected with the combustor. The input end of the ammonia injection device is connected with the ammonia storage device through an ammonia conveying pipeline; and the tail part of the horizontal boiler is connected with the SNCR denitration device. According to the utility model, the combustion efficiency of pulverized coal is improved by doping ammonia, and particularly, stable combustion is ensured by adjusting the proportion of ammonia under the condition that the coal quality changes greatly; ammonia and nitrogen oxide can react to generate nitrogen and water, so that the emission of NOx is reduced; ammonia is injected from the lower portion of the boiler, the mixing uniformity of pulverized coal particles and air is improved, an outlet of the combustor is in a local air-rich area, combustion and burnout of pulverized coal are facilitated, the carbon content of fly ash is reduced, and the higher the ammonia doping proportion is, the higher the burnout rate of the pulverized coal is.

The application relates to the field of carbon emission operation and maintenance analysis, and specifically discloses a carbon emission operation and maintenance data calling and analysis method, which comprises the following steps: obtaining carbon emission intensity of a power plant in an accounting period and comparing the carbon emission intensity with historical same period and industry average level to identify abnormal power plants; determining an abnormal reason based on fuel carbon content deviation as fuel quality fluctuation or unit operation abnormality; if the reason is fuel problem, correcting an emission factor through a machine learning model and recalculating the carbon emission intensity; if the reason is unit fault, drawing a load-emission intensity curve to identify an inefficient unit with emission sudden increase and obtaining an abnormal period and abnormal degree of the unit; determining whether the inefficient unit is single to determine whether a source point is a unit equipment or a shared auxiliary equipment, and then formulating a reasonable troubleshooting order in combination with historical fault records; the method solves the problems of difficult carbon emission abnormality attribution of the power plant, slow operation and maintenance response, realizes dynamic correction of the emission factor, accurate positioning of a fault source point and optimization of a troubleshooting path, and improves carbon management efficiency.

The application relates to the technical field of energy control, in particular to a boiler combustion carbon reduction and pollution reduction control method, device, equipment, medium and program, wherein the method comprises the following steps: acquiring coal quality data, fly ash images and boiler operation parameters of a boiler; inputting the fly ash images into a carbon content prediction model, and outputting corresponding fly ash carbon contents by the carbon content prediction model; determining boiler efficiency and carbon emission intensity according to the coal quality data, the fly ash carbon contents and the boiler operation parameters; taking maximization of the boiler efficiency, minimization of the carbon emission intensity, minimization of operation coal consumption and minimization of nitrogen oxide emission concentration as targets, and calculating corresponding target control parameters under different working conditions; and controlling the boiler to perform corresponding carbon reduction and pollution reduction control operations according to the target control parameters. Therefore, the problems, such as low combustion efficiency, increased pollutants and carbon emissions, caused by the fact that the artificial experience and PID control strategy in the related art lead to combustion regulation lag and insufficient precision and are difficult to adapt to coal quality fluctuation and load change, are solved.