279 results about "Heat consumption" patented technology

The invention provides a dynamic adjustment method and system for steam extraction energy storage and heat release in a thermodynamic system, and relates to the technical field of energy consumption adjustment, and the method comprises the steps: obtaining multi-dimensional operation parameters of the thermodynamic system and heat consumption demand data of a user side, predicting a steam load state in a specific time period in the future, and dynamically dividing a load time period according to the predicted steam load state; on the basis of the divided load time periods, steam extraction energy storage and heat release operation is carried out in the corresponding load time periods according to the optimal operation strategies of all the time periods; and continuously optimizing the load prediction model according to the deviation data, based on the optimized load prediction model, integrating the real-time operation state of the thermodynamic system, the actual heat consumption condition of the user side and the energy market price information, constructing a multi-target optimization model, and adaptively adjusting the operation parameters of steam extraction energy storage and heat release by using the multi-target optimization model. And dynamic adjustment of steam extraction energy storage and heat release in the thermodynamic system is realized.

The invention relates to a centralized heating balanced regulation and control method, device and equipment and a medium. The method comprises the steps that firstly, the heat supply area of a user and the heat use state of a neighbor are collected, the basic flow of the jet device is calculated according to an industrial standard formula, and final flow containing resistance characteristic data is obtained through secondary correction by combining a neighbor heat use state correction coefficient and an environment temperature influence factor. Extracting flow and inlet and outlet pressure difference from jet device parameters, adjusting a valve to enable the resistance proportion to reach a preset interval, calculating parameters such as unit area heat consumption by combining real-time flow and supply and return water temperature difference, generating regulation and control basic data through coupling analysis, adjusting the jet device when the regulation and control basic data reach the standard, and generating a dynamic scheme by combining a thermal load prediction model. And finally, capturing the flow pulse signal according to a fixed period to calculate a difference value, generating a valve control signal according to a threshold value, acquiring the water supply and return temperature after execution, and coupling with a dynamic scheme to generate a regulation feedback signal. By adopting the method, accurate regulation and control can be realized through multi-dimensional analysis, and the flow distribution accuracy and the heat supply balance are improved.

Provided is a carbon dioxide capture system using heat pumps for waste heat recovery and utilization. In the system, waste heat recovery and upgrading are performed, by means of a first waste heat recovery heat pump, on a lean solution in a medium-temperature section that has been cooled by means of a lean-rich solution heat exchanger, and / or waste heat recovery and upgrading are performed, by means of a third waste heat recovery heat pump, on reaction waste heat of an absorption solution; and recovered waste heat is used for heating a medium-lean solution at the bottom of a desorption tower to perform carbon dioxide desorption, thereby realizing the recovery and full upgrading of low-grade waste heat, and thus achieving the aim of full utilization of low-grade waste heat. By means of a first coupled heat exchanger and / or a second coupled heat exchanger, the system further makes the working medium, which is obtained after recovered heat energy is reused for carbon dioxide desorption, further exchange heat with a split cold rich solution to preheat the cold rich solution, thereby realizing coupled utilization of energy inside the carbon dioxide capture system, and thus effectively reducing the heat consumption and operating costs of the carbon dioxide capture system.

The invention provides a thermal power generating unit operation initial pressure optimization method and device, and relates to the technical field of optimization control. The method comprises the following steps: acquiring working parameters of a thermal power generating unit in a use stage; and processing the working parameters in the use stage based on an optimized random forest model to obtain the main steam pressure flow when the heat consumption rate reaches the minimum value, and taking the main steam pressure flow at the moment as the initial pressure of operation of the thermal power generating unit. The device executes the method. According to the thermal power generating unit operation initial pressure optimization method and device provided by the embodiment of the invention, the response speed and the control precision of thermal power generating unit operation initial pressure control can be improved.

The bypass ventilation system comprises an air taking opening formed in a smoke chamber, a quench cooler, a cyclone dust collector, a bag dust collector, an ash bin and a pneumatic conveying device. The quench cooler adopts a volute structure, and an air inlet port of the quench cooler is connected with a quench fan; high-temperature flue gas passing through the quench cooler enters the cyclone dust collector, coarse particles in the flue gas are returned to the decomposing furnace by the cyclone dust collector, and relatively coarse particles are returned to the kiln tail, so that partial material consumption and heat consumption are reduced; fine particle dust separated by the cyclone dust collector enters a cloth bag dust collector to be collected, and clean air is directly discharged into a kiln tail chimney through an exhaust fan; ash collected in the cloth bag dust collector is firstly conveyed into the ash bin, and then the ash is conveyed to the steel bin at the clinker conveying belt or conveyed to the ash temporary storage bin of the water washing workshop and then is subjected to water washing. According to the bypass ventilation system, the skinning problem can be effectively relieved, and stable operation of a production line is guaranteed; and the quality of the cement is ensured.

The invention discloses a heat supply system for mine building heat supply and shaft freezing prevention, comprising: a heat collection module for collecting heat by using solar energy; the heat storage module exchanges heat with the heat collection module, is used for storing the heat source transferred by the heat collection module and can transfer the heat source to a heat terminal for the mining area building for heating around the clock; the power supply module is used for generating power by using solar energy and storing electric energy; and the wellhead heating modules are arranged at the shaft positions of the main inclined shaft and the auxiliary inclined shaft, and heat exchange is conducted between the wellhead heating modules and the heat storage module. The water source heat pump is used for heating the main inclined shaft and the auxiliary inclined shaft, comprehensive utilization of energy is achieved, a photovoltaic renewable power source is built in combination with the mining area space to provide clean power for mining area heat supply and power utilization systems such as the water source heat pump, and when the mining area power load and the heating load are low in the non-heating season, the water source heat pump can be used for heating the heat storage system. Zero-carbon heat supply for mine area building heat supply and shaft freezing prevention is achieved.

The invention discloses a hydraulic intelligent balance regulation and control method and platform for multiple systems of a heat exchange station, and relates to the technical field of hydraulic balance of central heating systems, and the method comprises the steps: obtaining the real-time operation data of multiple heating systems of the heat exchange station, calculating the heat consumption data of a unit area, analyzing the hydraulic unbalance, and obtaining a hydraulic supply state parameter set; temperature change parameters of the heat exchange station are monitored, and a climate compensation adjustment curve is constructed in combination with hydraulic unbalance indexes; collaboratively optimizing the two to generate a multi-system valve control instruction set; adjusting and monitoring according to the instruction set and then feeding back and backtracking, and constructing a hydraulic balance regulation and control strategy to realize intelligent control. The technical problems that due to the fact that regulation and control of the multiple heat supply systems of the heat exchange station are lack of pertinence and collaboration and inaccurate in state judgment, heat supply is uneven and energy consumption is too high are solved, and the technical effects that the operation states of the multiple systems of the heat exchange station are precisely controlled and cooperatively adjusted, heat supply balance is improved, and overall energy consumption is reduced are achieved.

The invention relates to a method and a system for producing ceramsite by comprehensively utilizing coal-based solid waste. The method specifically comprises the following steps: 1) a two-step pelletizing process; 2) fluidized drying and preheating process; 3) a fluidized cooling process; and 4) application of the biomass fuel in ceramsite production. The method has the advantages that (1) when the coal-based solid waste is treated in the prior art, the (air dry basis) proportion is about 60%, and the coal gangue proportion can be increased to 70%-95%; (2) the cylinder compressive strength of the coal-based high-strength ceramsite produced in the prior art is mostly 3.0-10.0 MPa, and the cylinder compressive strength can be improved to 12.0-25.0 MPa by applying the technology, so that the requirements of the high-strength ceramsite are easily met; (3) the heat consumption (the product of the mass consumed by unit ceramsite and the accumulated value of the heat value of the ceramsite) in the prior art is averagely about 4500 KJ / kg, and the firing heat consumption of the ceramsite is reduced to below 2781 KJ / kg; and (4) the main fuel of the invention is biomass fuel which is a clean and renewable energy form.

The invention discloses an immersion phase change cooling device and cooling method for a net-forming type energy storage converter. The device comprises a power module phase change cooling unit, a condensation module, a liquid storage tank and a heat exchanger, the power module heating element is soaked in a refrigerant of the power module phase change cooling unit, the refrigerant absorbs heat and is heated to generate phase change vaporization, and a liquid refrigerant is converted into a gas refrigerant to be used for reducing the temperature of the power module heating element. A gaseous refrigerant flows to a condensation module, the condensation module exchanges heat with the gaseous refrigerant, so that the gaseous refrigerant is converted into a liquid refrigerant through phase change, and the liquid refrigerant flows to a heat exchanger and exchanges heat with air in the cabinet to reduce the temperature of elements in the cabinet; and the liquid refrigerant continues to flow into the power module phase change cooling unit to cool the power module, so that the immersion phase change cooling circulation process of the structure network type energy storage converter is realized. According to the invention, through phase-change heat exchange, the heat dissipation problem of sudden increase of heat consumption caused by short-time multi-time overload of the grid-forming type energy storage converter is solved, and the heat dissipation efficiency and reliability are improved.

The invention discloses a heat and power cogeneration user group energy efficiency optimization method and system based on bidirectional cooperation, relates to the technical field of heat and power cogeneration, and provides the following scheme that the method comprises the steps of setting a historical period, collecting historical electricity and heat consumption data of a user in the period, and constructing a strategy feature vector; the strategy feature vector comprises an electricity and heat utilization behavior feature, a demand response participation degree feature and an economic benefit feature; classifying the user strategy feature vectors by adopting a clustering algorithm, and identifying information island users and main group users; the method is based on historical electricity and heat consumption data of island users. Three-dimensional features of power utilization behaviors, demand response participation degree and economic benefits are extracted through historical power utilization and heat utilization data, strategy feature vectors are constructed, accurate description of the power utilization and heat utilization behaviors of users is achieved, limitation of traditional single-dimensional analysis is broken through, an accurate data basis is provided for user clustering and strategy optimization, feature recognition accuracy is improved, and user experience is improved. And the system can accurately analyze the electricity and heat utilization rule.

A collaborative optimization method for an Electric and Heating Networks (EHN) and a building user includes: establishing a coordinated optimization scheduling framework of the EHN and a building in a park; based on the coordinated optimization scheduling framework, constructing an optimal thermal power flow scheduling model of the EHN, and constructing a building model to simulate thermal characteristics and energy consumption of the building; based on the optimal thermal power flow scheduling model and the building model, taking the lowest operation cost of EHN and the lowest heat consumption of building user as a goal, constructing a collaborative optimization model of the EHN and the building user; outputting a collaborative optimization scheme of the optimal thermal power flow scheduling of the EHN and the heat consumption of the building user through the collaborative optimization model of the EHN and the building user.

The invention belongs to the technical field of aviation electric propulsion, and provides a power and thermal management parameter optimization integrated framework suitable for a high-power hydrogen electric propulsion aircraft, which mainly comprises an overall design and parameter optimization module, a power distribution and control module and a comprehensive thermal management analysis module, the overall design and parameter optimization module realizes optimal balance of thrust, energy efficiency and stability of the aircraft through aerodynamic design, mission profile analysis, propulsion system configuration and weight estimation; the power distribution and control module dynamically distributes power output of power sources such as a lithium battery, a hydrogen fuel cell and a hydrogen turbine engine based on a model predictive control method and by means of cooperative work of a top energy management controller and component control units, and the optimal power utilization rate of different flight stages is ensured. The comprehensive heat management analysis module integrates a low-temperature cooling loop, a non-low-temperature heat management system and a temperature monitoring and heat recovery unit, accurately controls and adjusts the temperature and heat consumption of key components, and ensures that the key components always run in a safe temperature range; through parameter transmission and feedback iterative optimization between the modules, the energy efficiency and stability of the aircraft under the high-load condition are remarkably improved, and the development requirements of future high-power hydrogen-electric propulsion aircrafts for high efficiency, low carbon emission and multi-working-condition adaptability are met.

The present disclosure relates to a method and apparatus for predicting the heat consumption of clinker sintering based on a LightGBM model, and relates to the technical field of predicting the heat consumption of clinker sintering. The main objectives of the present disclosure are to improve the prediction accuracy and detection efficiency of the heat consumption of clinker sintering, and to reduce memory usage, so that the method and apparatus can be better practically applied in factories.The main technical solutions of the present disclosure include: obtaining corresponding target production data based on preset process parameters, wherein the preset process parameters are process parameters meeting preset requirements, selected from process parameters related to the heat consumption of clinker sintering; and outputting a prediction result of the heat consumption of clinker sintering by means of the preset LightGBM model, based on the target production data. The method and apparatus of the present disclosure are used for predicting the heat consumption of clinker sintering. Figure 1.

The invention discloses a gas turbine performance improvement control method and system under a deep peak shaving working condition, the system comprises an AUMA motor, an IGV connecting rod, an IGV ring mechanical limit, an IGV execution mechanism limit switch and an IGV angle transmitter, the adjustable range of the IGV is improved, and the IGV can be closed to an opening IGVmin1 smaller than the original design 0%. After the transformation is completed, after the load instruction of the gas turbine is gradually reduced and the IGV is reduced to 0%, if the AGC load instruction still requires further reduction of the load of the gas turbine, the IGV can continue to be reduced, and along with reduction of the amount of air entering a combustion chamber, the turbine outlet temperature correction value OTC is still expected to be maintained within the designed temperature range. According to the method, hardware and control logic of an existing IGV and a deicing valve are transformed, the method for improving the low-load performance of a Siemens gas turbine is provided, the lower limit of peak-load operation load of a unit is increased, heat consumption in the low-load operation period is reduced, combustion stability is improved, NOx emission is continuously improved, and safe and efficient operation of the unit is ensured.

The invention discloses a distributed electric-thermal-hydrogen comprehensive energy storage system and an energy storage method. The energy storage system comprises a wind-photovoltaic power generation subsystem, an energy storage battery subsystem, a water electrolysis hydrogen production subsystem, a fuel cell subsystem, a solid hydrogen storage subsystem, a comprehensive energy control subsystem and a comprehensive energy allocation subsystem. The energy storage method comprises the steps of obtaining current power generation data and a user side energy storage layout scheme, generating an electrothermal hydrogen energy storage scheme, and sending an energy storage regulation and control signal. According to the system, the water electrolysis hydrogen production subsystem is directly connected with the fuel cell subsystem in series, so that the heat exchange loss is effectively reduced, and the energy utilization efficiency of the system is improved; the solid hydrogen storage system can be used as a heat consumption device, and when a user has an electricity demand, does not have a heat demand or the heat storage water tank is saturated, the solid hydrogen storage system absorbs heat during hydrogen release to supply heat generated by the fuel cell subsystem to the solid hydrogen storage subsystem, so that the energy consumption required by additional heat dissipation of the fuel cell subsystem is effectively reduced, and the operation cost of the system is reduced.

The invention discloses a building thermal load calculation method based on a GRU-Res network and a giant regular ensemble. The method is realized based on a building thermal load calculation model based on a GRU-Res network and a giant regular ensemble. The construction method of the model comprises the following steps: S1, obtaining parameters of a building envelope, a meteorological data matrix and a building thermal load historical operation data matrix; s2, solving the one-dimensional steady-state heat transfer equation to obtain heat consumption of the building envelope, and constructing a heat consumption matrix of the building envelope; s3, constructing a penetration load calculation model based on a giant regular ensemble theory, solving the model to obtain penetration loads at all moments, and constructing a penetration load matrix; s4, constructing a feature matrix based on the heat consumption matrix, the penetration load matrix and the meteorological data matrix; a GRU-Res network model is built; and S5, training a GRU-Res network by taking the feature matrix as input and taking the building thermal load historical operation data matrix as a label, and finally obtaining a calculation model. According to the method, the precision and efficiency of building thermal load calculation can be remarkably improved.

The invention discloses an industrial park carbon emission dynamic accounting method and system, and belongs to the field of carbon emission accounting. The method comprises the steps that dynamic carbon emission results of industrial park fossil fuel combustion, the industrial process, waste treatment, electricity utilization and heat utilization are obtained in real time, specifically, the dynamic carbon emission results of industrial park fossil fuel combustion are obtained according to the consumption of each fuel and corresponding carbon emission factors; according to the industrial process activity level data and the corresponding production process carbon emission factors, a dynamic carbon emission result of industrial park fossil fuel combustion is obtained; calculating a dynamic carbon emission result of waste treatment according to the amount of solid waste and sewage generated at each moment in the industrial park; calculating a dynamic carbon emission result of power utilization of the industrial park according to the comprehensive power utilization carbon emission factor; and calculating a dynamic carbon emission result of heat consumption of the industrial park according to the comprehensive heat consumption carbon emission factor. According to the invention, the carbon emission results of different carbon emission sources at different moments in the industrial park can be obtained.

The invention discloses a boiler soot blowing test and optimization system and method, and the method comprises the steps: judging a heating surface pipe wall temperature and a contamination factor in an effective space range of a current soot blower in a soot blowing process, and outputting a current soot blowing safety signal if the heating surface pipe wall temperature and the contamination factor are in a safe definite range; after the safety module takes effect, soot blowing modes preset based on the arrangement condition of soot blowers on the heating surface of the boiler are tested one by one, test data of each test are recorded, and a soot blowing relation database is formed; according to the soot blowing relation database obtained in the test process, the difference value between the total income brought by soot blowing of the unit and the soot blowing energy consumption loss is calculated, and the soot blowing net income is obtained; the total benefit brought by soot blowing of the unit comprises the benefit brought by heat consumption reduction of a steam turbine and heat load increase of a boiler; and outputting an optimized soot blowing mode according to the soot blowing net income. According to the method, online test and optimization of the soot blowing strategy can be adaptively carried out according to the soot blowing test, and the operation economy and safety of the generator set boiler are improved.

The invention provides a method and system for evaluating and analyzing the heat storage capacity of a steam pipe network, and belongs to the technical field of heat storage capacity evaluation.The method specifically comprises the steps that the heat storage capacity in the steam pipe network is obtained in real time, and the evaluation time period of the heat storage capacity is determined according to the coincidence condition of the heat storage capacity and the evaluation target interval; determining an evaluation deviation heat storage capacity interval in the evaluation target interval based on the evaluation time period data and the matching condition of the evaluation data of the heat storage capacity of different evaluation time periods and an evaluation analysis strategy, and determining a control processing scheme of the thermal equipment of the steam pipe network in the evaluation deviation heat storage interval according to the distribution condition of the evaluation deviation heat storage interval in an evaluation target interval adjacent to the evaluation deviation heat storage interval, evaluation time period data and a monitoring result of heat consumption data of a heat user. And the reliability of evaluating, analyzing and processing the heat storage capacity of the steam pipe network is improved.

The invention relates to an absorption stabilization system and a separation method of a wax oil hydrocracking unit, which are characterized in that an original naphtha separation tower is changed into a heavy naphtha tower, a feed stream is adjusted into a mixture of top oil of a steam stripping tower, top oil of a pre-fractionating tower and top oil of a main fractionating tower, and heavy naphtha is produced at the bottom of the tower; tower top distillate and tower bottom oil of the deethanizer are mixed and then enter a debutanizer, liquefied gas is obtained at the tower top after separation, light naphtha is obtained at the tower bottom, and part of the light naphtha serves as an absorbent to be recycled. By changing the top oil feeding position of the main fractionating tower, reducing the processing amount and the energy consumption of the debutanizer, and adopting pure light naphtha as an absorbent in the absorption tower, the adsorption effect is better, and the composition of the bottom of the debutanizer is changed, so that a reboiling heat source is changed from middle-section reflux of the main fractionating tower to product diesel oil, and the heat consumption level is reduced. The method does not change the reaction and main fractionating tower system process, has strong applicability in the aspects of new device construction and old device transformation, effectively solves the problem of high energy consumption in the traditional process, and improves the overall benefits of the device.

The present application relates to the field of blast furnace alchemy technology and discloses a method for using blast furnace coal powder. The method comprises: obtaining a first type of coal powder, burning the first type of coal powder through a blast furnace; calculating a first effective value for the heat supply of the blast furnace tuyere raceway; calculating a second effective value for the heat supply of the blast furnace block belt; calculating a heat consumption value of the blast furnace slag-iron interface; calculating an evaluation value K of the first type of coal powder based on the first effective value, the second effective value, and the heat consumption value; obtaining multiple groups of coal powders of different types, and calculating the corresponding evaluation values K of the multiple groups of coal powders in turn; the blast furnace selects suitable coal powder for use based on the evaluation value K. The present application calculates the corresponding evaluation value K of different types of coal powders, evaluates the impact of coal powder on various areas of the blast furnace through the evaluation value K, and the purchasing personnel select the appropriate type of coal powder for purchase and use based on the evaluation value K.

The invention discloses a calcining furnace for large-scale production of type II anhydrite from industrial byproduct gypsum, which is characterized in that a plurality of material inlets are formed in the calcining furnace and used for receiving materials from different sources, so that the fine powder circulation volume in a system is greatly reduced, and dust collection return materials directly enter the lower part of the calcining furnace, so that the productivity of the system is increased; the air inlet part of the calcining furnace adopts high-temperature flue gas, part of heat energy is recycled, and the use of air can be reduced, so that the oxygen content in the calcining furnace is always below the explosion limit, and the safety is improved; by means of temperature, pressure, oxygen content, air volume and other instruments, frequency conversion fan rotating speed, valve opening and the like, automatic control is adopted, and raw material amount, fuel consumption and mixed total air volume entering a calcining furnace are metered and controlled, so that the system has the advantages of reducing total air volume of the system, reducing total air displacement, reducing heat consumption, saving energy, improving heat exchange efficiency, improving effective utilization rate of energy, improving productivity and the like. And the product quality is improved.

The utility model discloses a cement clinker calcining and decomposing device, which relates to the technical field of cement clinker production and comprises a supporting frame, a plurality of supporting rods are arranged on one side of the top end of the supporting frame, a fuel connecting cylinder is arranged at the top ends of the supporting rods, a feeding cylinder is arranged at one end of the fuel connecting cylinder, and a preheating assembly is arranged at the top end of the feeding cylinder. A fixing rod is arranged on the other side of the top end of the supporting frame, a discharging box is arranged at the top end of the fixing rod and connected with the feeding cylinder through a furnace cylinder assembly, and an exhaust pipe is arranged at the top end of the discharging box. According to the utility model, by arranging the preheating assembly, the cement raw material can be preheated, so that the cement raw material can reach the firing temperature more quickly, thereby effectively shortening the time required by calcination and decomposition, not only improving the production efficiency, but also reducing the heat consumption of clinker firing, and further improving the overall production benefit.

The invention discloses a dust screen detection method and detection system for an energy storage converter, and belongs to the field of energy storage of new energy power systems. In order to overcome the defects that a detection device needs to be additionally arranged for existing dustproof net detection, and only fixed heat consumption of equipment can be detected through temperature difference judgment, an aging experiment is carried out before an energy storage converter leaves a factory, and an air volume flow reference value is obtained to enable the energy storage converter to reach a heat balance state; setting a second altitude of the current use place, enabling the energy storage converter to stably operate for a preset time length under a certain power, and calculating an air volume flow detection value at the moment; calculating a dust screen blockage reference value according to the air volume flow reference value and the air volume flow detection value; and presetting a dust screen blockage alarm threshold value, and judging the blockage condition of the dust screen according to a comparison result of the dust screen blockage reference value and the dust screen blockage alarm threshold value. The method is mainly used for detecting the blockage condition of the dust screen of the energy storage converter.

This disclosure provides a digital twin system and method for solar high-temperature heat pump steam supply with energy storage coupling, belonging to the field of solar high-temperature heat pump technology. The system includes a data acquisition module, a time-series prediction module, a digital twin module, a system control module, and a feedback verification module. The data acquisition module collects and preprocesses historical and real-time multi-source data. The time-series prediction module predicts solar irradiance and heat consumption at multiple future moments based on machine learning. The digital twin module calculates future terminal parameters using real-time and predicted data based on a physical information model. The system control module generates and executes a heat pump advance control scheme based on optimization objectives. The feedback verification module compares actual and predicted parameters to correct the digital twin model. This invention achieves proactive prediction, advance control, and closed-loop optimization of industrial steam supply systems, solving the control lag and energy-saving optimization problems caused by solar energy volatility and complex system coupling.

The application relates to a heat user abnormal behavior monitoring method and system. The method comprises the following steps: acquiring influence factors affecting heat consumption of a heat user, screening the influence factors, and determining a characteristic vector; preprocessing the characteristic vector to generate a preprocessed characteristic vector; dividing the preprocessed characteristic vector into a training set, a test set and a prediction set; constructing a variation prediction learning machine prediction model by using the training set; inputting the test set into the variation prediction learning machine prediction model to output optimal input layer weights and optimal hidden layer thresholds; inputting the prediction set, the optimal input layer weights and the optimal hidden layer thresholds into the variation prediction learning machine prediction model to determine a predicted value of the heat consumption of the heat user; acquiring an actual value of the heat consumption of the heat user, and determining a current operation state of the heat user according to a deviation between the predicted value of the heat consumption of the heat user and the actual value of the heat consumption of the heat user. The application can effectively improve prediction precision and improve monitoring accuracy.

The invention relates to a thermal power generating unit control method and device, a medium, equipment and a program product, and relates to the technical field of power generation. The method comprises the following steps: acquiring operation data of a thermal power generating unit, the operation data comprising actual values of first operation data and second operation data, the first operation data comprises a historical power instruction value, a power grid frequency, an active power actual value, boiler thermal efficiency, load response time, a steam turbine heat consumption rate, a thermal power generating unit power generation coal consumption rate, a power supply coal consumption rate, coal feeding system parameters and the like, and the second operation data comprises equipment operation data of a thermal power generating unit; inputting the first operation data into the trained prediction model to obtain a prediction value of the second operation data; when the difference value between the actual value and the predicted value is smaller than a first preset threshold value, determining a current power instruction value according to the actual value and the predicted value; and the coal feeding amount and the air feeding amount are adjusted according to the current power instruction value. The method can improve the response speed of power regulation of the thermal power generating unit.

The invention relates to the technical field of gas turbine efficiency, in particular to a gas turbine heat rate soft measurement method and system based on a machine learning model, and the method comprises the steps: collecting the operation parameters of a gas turbine in real time; establishing a heat rate model, and training the heat rate model to obtain a trained heat rate model; and inputting the extracted feature vectors into the trained heat rate model to obtain a heat rate prediction value. According to the method, feature extraction is carried out on the operation parameters, feature vectors with higher correlation with the heat consumption rate can be screened out, interference of redundant information on the model is reduced, and the prediction performance of the model is improved. The heat rate model is based on a machine learning model, common characteristics among different working conditions can be better captured, dependence on specific working conditions is reduced, and the accuracy of a predicted value is improved.

The utility model discloses a solid electric heat storage boiler with a sectional skid-mounted combined structure, which comprises a first combination mode, a second combination mode, a third combination mode and a fourth combination mode, and the four combination modes are respectively composed of a plurality of sections of heat storage box bodies which are connected and combined through the box bodies. According to the container, the multiple sections of heat storage box bodies are arranged, on the premise that the heat storage capacity is guaranteed, the requirement for weight limitation of the container during marine transportation can be met, the transportation cost is reduced, the multiple sections of heat storage box bodies and the heat exchange section box bodies are of skid-mounted structures, standardized production of equipment in a factory can be achieved, and the production efficiency is improved. Combined application is carried out according to construction conditions and heat consumption parameters of a user site, multi-layer stacking type assembly construction can be carried out, and the site occupied area is reduced.

The application provides an output power limit value calculation method and a semiconductor process equipment, which are applied to a heating disc, the heating disc comprising a first heating element and a temperature sensor, the temperature sensor being used for detecting the temperature of the first heating element, the method comprising: obtaining historical operation data of the first heating element; wherein the historical operation data comprises historical output power and a temperature value detected by the temperature sensor; determining a heat consumption power required when the first heating element is heated based on the output power and the heating speed of the first heating element in the historical operation data, taking the heat consumption power as a power lower limit value of the first heating element in the heating stage; and calculating a heat supply power of the first heating element at a preset heating speed based on the heat consumption power, taking the heat supply power as a power upper limit value of the first heating element in the heating stage. The application can avoid large fluctuations in the temperature of the first heating element, and improves the stability of temperature control.