1515results about "Boiler control" patented technology

In an intelligent pollution and carbon reduction method based on combustion control and load distribution, a data processing layer, a multi-unit load distribution and operation optimization layer and a single-unit boiler multi-objective combustion optimization layer are used. The data processing layer, the multi-unit load distribution and operation optimization layer and the single-unit boiler multi-objective combustion optimization layer are embedded in a power plant information system in the form of modules. A load distribution and operation optimization method for a multi-source fuel blending combustion unit with economy as an objective is provided to overcome the operation optimization difficulty of the key production process of a multi-source fuel blending combustion cogeneration unit, such as sludge drying-steam distribution.

The invention provides a cooking utensil superheated steam system and a temperature control method thereof, and relates to the technical field of steam cooking. The superheated steam system of the cooking utensil comprises the cooking utensil, a steam module, an ultrasonic heating module, a temperature monitoring module, a cooking data acquisition module, a data analysis module, a model prediction module, a display module, a dynamic adjustment heating strategy, a waste heat recovery module and a preheating box. Ultrasonic vibration is used for assisting heating, water molecules rapidly vibrate in a microwave field to generate heat, the waste heat recovery module captures heat generated in the cooking process through a heat exchanger and is used for preheating the next batch of food, the energy utilization efficiency is remarkably improved, energy waste and carbon emission are reduced, the heating strategy is dynamically adjusted, and the energy utilization rate is increased. According to the real-time sensor data and the prediction model, the heating power, the steam flow and the heating time parameters are automatically optimized, unnecessary energy consumption is avoided, and accurate temperature control and energy consumption optimization are achieved.

The invention discloses a digital twinning-based thermal heat supply system defense cooperative protection method and system, particularly relates to the technical field of industrial control system safety, and is used for solving the problems of hidden attack missing detection and response delay caused by splitting of energy flow and data flow in an existing protection mechanism. Physical-network behavior collaborative verification is realized by constructing a digital twinborn model, and precise protection is realized by quantifying coupling failure characteristics of energy flow and instruction flow. The method specifically comprises the following steps: collecting production data, industrial control logs and network traffic; constructing a digital twin model to simulate expected behaviors of equipment, communication and physical states; comparing and detecting abnormal data in real time; extracting a thermodynamic potential gradient characteristic quantity and a path integral characteristic quantity from the abnormal data; calculating a covariant difference value of the two characteristic quantities, and judging an external attack when the covariant difference value exceeds a threshold value; when an attack is triggered, a micro-isolation gateway is deployed, dynamic access control is implemented based on an equipment fingerprint, a user behavior sequence and an environment fingerprint, and an attack chain is blocked.

The invention discloses a method for preventing main steam pressure fluctuation on the basis of controlling the coal combustion amount. The method comprises the following steps: acquiring running state data of the coal-fired boiler in real time; based on the operation state data and a preset boiler dynamic prediction model, predicting a steam pressure sequence of the boiler in a future preset time range, and judging whether to trigger a control action or not in combination with an event triggering strategy obtained by learning of a reinforcement learning agent; if it is judged that the control action is triggered, the reinforcement learning agent outputs an adjustment instruction of the total coal feeding amount according to the current operation state data; and controlling the total coal feeding amount of the boiler according to the adjusting instruction. According to the method, the timing and the force of control intervention can be intelligently determined according to the real-time state and future trend prediction of the boiler, and the accuracy and the foresight of main steam pressure control are improved.

The invention provides a combustion optimization method and system for a coal-fired boiler, electronic equipment and a storage medium. The combustion optimization method for the coal-fired boiler comprises the steps that historical operation data and operation condition data of the boiler are obtained; determining the combustion efficiency of the boiler according to the historical operation data of the boiler; working condition division is carried out according to the boiler combustion efficiency and the operation working condition data, and information of all working condition intervals is obtained; constructing a combustion efficiency prediction model driven by time series data according to the information of each working condition interval; the combustion efficiency prediction model is embedded into a deep reinforcement learning method framework for training, and an optimization model is generated; and inputting real-time operation data of the boiler into the optimization model to generate optimization decision data.

The invention discloses a two-phase cold plate liquid cooling ORC waste heat recovery and photovoltaic cooperative energy supply system and method, and relates to the technical field of energy management and waste heat utilization. The two-phase cold plate liquid cooling ORC waste heat recovery and photovoltaic cooperative energy supply system and method comprises the following steps that S1, thermal parameters and electric power states related to cooperative energy supply are collected, and a thermoelectric cooperative input data set is constructed and preprocessed; s2, the supply and demand difference of the high-temperature steam in the main condensation branch and the ORC branch is recognized; s3, coordinating a photovoltaic power supply structure and a cooperative energy supply sequence, and judging the matching degree of cooperative energy supply to a load; and S4, evaluating a cooling, heating and power cooperation and double-source coupling state in combination with a load matching condition and an output behavior. The problems that in an existing two-phase cold plate liquid cooling structure, high-temperature steam is not recycled, photovoltaic power generation does not participate in linkage energy supply, the power source is single, waste heat waste is serious, and energy collaboration is insufficient are solved.

The invention discloses a thermal power generating unit operation state detection method and system, and relates to the technical field of operation state detection, and the method comprises the steps: S100, building a working condition variable label; s200, carrying out statistics on correlation coefficients of sensors and faults under various working conditions in historical operation data of the thermal power generating unit, dynamically updating weights, and storing the weights in a working condition database; s300, based on the energy transfer chain of the thermal power generating unit, establishing a parameter incidence matrix between devices; according to the method, the data weights of different sensors are adaptively adjusted according to the real-time operation state of the equipment, the defect that the traditional multi-sensor fusion adopts fixed weight or simple weighted average and is difficult to adapt to the working condition change is overcome, a physical relationship network between the equipment is constructed, key associated parameters are identified in an energy transfer form, and the fault identification accuracy is improved. The robustness of anomaly monitoring under complex working conditions is improved, and the false alarm rate is reduced.

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

An energy storage system (TES) converts variable renewable electricity (VRE) to continuous heat at over 1000° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. In one application, there are thermal energy storage units that provide existing power plants with greater system efficiency, safety, and reduced fuel consumption.

The invention discloses a thermal power plant boiler combustion optimization method and system, and the method comprises the steps: obtaining historical combustion data and historical control data of a thermal power plant boiler, and carrying out the analysis to determine control parameters affecting the combustion; extracting features of the control parameters, and constructing a combustion data prediction model based on the features and a preset neural network model for prediction to obtain combustion prediction data; analyzing the combustion prediction data, determining combustion data characteristics, and determining a combustion state coefficient of the thermal power plant boiler based on the combustion data characteristics; an expected combustion state coefficient preset in advance by the thermal power plant boiler is obtained, and the difference value between the combustion state coefficient and the expected combustion state coefficient is determined; and determining a parameter control optimization coefficient according to the difference value to optimize the current control parameter. According to the invention, refined and intelligent monitoring and optimal control of the combustion process can be realized, so that the combustion efficiency of the thermal power plant boiler is improved, the cost is reduced, the emission is reduced, and the stability and the safety of boiler operation are improved.

Systems and methods for generating electrical power in an organic Rankine cycle (ORC) operation include one or more heat exchangers incorporated into mobile heat generation units, and which will receive a heated fluid flow from one or more heat sources, and transfer heat therefrom to a working fluid that is circulated through an ORC unit for generation of power. In embodiments, the mobile heat generation units comprise pre-packaged modules with one or more heat exchangers connected to a pump of a recirculation system, including an array of piping, such that each mobile heat generation unit can be transported to the site and installed as a substantially stand-alone module or heat generation assembly.

【Problem】To provide a method for diagnosing faults in an industrial boiler based on a physics knowledge adversarial generation network even when boiler fault data is of poor quality or insufficient. 【Solution】First, step 1 of obtaining historical operation data of the industrial boiler and performing preprocessing of the data; step 2 of constructing a physics knowledge neural network model, constructing a mass and energy conservation formula related to the boiler, and simulating the operation of the boiler by the physics knowledge neural network; step 3 of constructing an improved adversarial generation network model, where the adversarial generation network generates good data using the competition between a generator and a discriminator, and its parameters are alternately trained by the generator and the discriminator; step 4 of training a diagnostic model using a training sample set, performing a fault diagnosis test using a test set, and verifying the effectiveness and superiority of the method by algorithm comparison. 【Selected Drawing】Figure 1

The invention relates to the technical field of automatic control, and discloses an intelligent ash deposition prevention self-cleaning system for a flue of a low-temperature economizer of a coal-fired power plant. According to the system, data such as temperature, humidity and flue gas components in a flue are acquired in real time through the data acquisition module, the dust deposition condition and cleaning requirements of the flue are accurately evaluated, the omission phenomenon caused by misjudgment in the manual cleaning process is avoided, the data processing and analysis module improves the data processing precision, and the data processing and analysis efficiency is improved. The system can also monitor the running state of the flue in real time, so that a cleaning instruction is automatically sent out when necessary, the timeliness and effectiveness of cleaning work are ensured, the cleaning execution module can efficiently remove accumulated dust while reducing the temperature of the flue through a mode of combining high-pressure airflow, a vibration device and a water spraying system, the time needed by cleaning is remarkably shortened, and the cleaning efficiency is improved. And the monitoring feedback module evaluates the cleaning effect, it is ensured that each time of cleaning can reach the preset standard, and the intelligent level and safety of flue cleaning are further improved.

The invention discloses a thermal power plant boiler fault monitoring and early warning method and system, and the method comprises the steps: obtaining and analyzing the operation monitoring data of a thermal power plant boiler, and determining an abnormal operation parameter; performing data prediction on each abnormal operation parameter according to a preset prediction model to obtain corresponding abnormal prediction data, and performing analysis to determine abnormal features; evaluating the abnormal state of the thermal power plant boiler based on each abnormal feature to obtain an abnormal state evaluation value, and judging whether the thermal power plant boiler has a fault according to the abnormal state evaluation value; after the thermal power plant boiler is judged to have the fault, determining the fault type based on the abnormal operation parameters; and determining a fault level based on the fault type, and determining an early warning coping strategy according to the fault level. According to the invention, prediction is carried out by analyzing the operation monitoring data, the future change condition of the boiler is determined, and the fault is determined by evaluation based on the change condition, so that early warning is carried out, the fault risk can be effectively reduced, the safety, reliability and operation efficiency of the boiler are improved, and the production benefit is increased.

The invention discloses a single-tank hanging basket type immersion resistance type fused salt electric heating device, which belongs to the technical field of high-temperature heat storage equipment, and comprises a heat storage tank body, a tank cover, an electric heater, a stirring mechanism, a lifting execution mechanism and a control system, the electric heater comprises a connecting disc and a plurality of electric heating pipes which are integrated on the bottom surface of the connecting disc and are distributed radially and symmetrically; the stirring mechanism comprises a stirring shaft and stirring blades, and the upper end of the stirring shaft is in transmission connection with the first driving motor; the lifting executing mechanism comprises a lifting connecting rod correspondingly connected to the top end of the connecting disc. The lifting connecting rod penetrates through the tank cover through a sealing sleeve and is in transmission connection with a second driving motor. And the control system is electrically connected with the first driving motor, the second driving motor, the electric heater and the temperature sensor, is used for adjusting the immersion depth and power-on and power-off of the electric heater, and is linked with the stirring mechanism. Fused salt multi-gradient temperature field balance control is achieved by dynamically adjusting the immersion depth of the electric heating pipe, and thermal stress is reduced.

Disclosed in the present invention are a main steam temperature control method and system for an incineration boiler of a waste incineration power plant. The method comprises: forming a cascade PID control dual-loop on the basis of a primary desuperheater, a primary superheater, a main PID controller and an auxiliary PID controller, and tuning the cascade PID control dual-loop; obtaining the current main steam flow rate, the current main steam temperature and the current boiler hearth temperature, and the main steam temperature and the boiler hearth temperature after a set delay time; obtaining the current actual waste treatment amount and the density of waste entering the incineration boiler, and calculating a predicted value of the current waste incineration heat; calculating a temperature feedforward value of the main steam temperature; and superimposing the temperature feedforward value and a temperature adjustment value output by the auxiliary PID controller in the cascade PID control dual-loop, generating a control value on the basis of the superimposed value, and controlling the water spraying amount of the primary desuperheater on the basis of the control value. In the present invention, on the basis of conventional PID cascade dual-loop control, correction value feedforward compensation is added to the control loop, thereby effectively improving the stability of the main steam temperature in waste incineration power generation.

The invention discloses a coal-fired boiler intelligent optimization method, system, equipment and medium based on multi-source perception, and belongs to the technical field of thermal power generation, and the method comprises the steps: carrying out the collection of boiler coal data of a coal-fired boiler, and carrying out the feedback compensation; collecting hearth data to reconstruct a combustion field, formulating an optimization control strategy, and constructing an optimization target to perform tail flue multi-component cooperative control; and carrying out dynamic adjustment based on an implementation result of the control strategy, and carrying out real-time monitoring to carry out coking early warning. According to the method, full-closed-loop intelligent control of coal quality perception, combustion optimization and coking prevention and control is formed, and by means of edge calculation layering processing, the boiler efficiency is improved, the power supply coal consumption is reduced and the cost is saved while it is ensured that emission reaches the standard.

The invention discloses a method for optimizing the AGC load regulation rate of a power station, and the method comprises the steps: building a digital twinborn body of a unit, building a boiler thermal positive and negative balance model, a fuel heat value prediction model and a self-adaptive control parameter library based on the historical operation data of a target unit, and receiving and processing the operation data of the unit in real time; dynamically predicting a boiler theoretical calorific value demand corresponding to the AGC instruction by using a long-short-term memory recurrent neural network, and calculating a deviation between an actual calorific value and a theoretical calorific value; when the deviation exceeds a preset threshold value, multi-mode cooperative compensation control of feed-forward compensation, parameter self-tuning and energy closed-loop calibration is implemented in parallel; the AGC instruction response time is controlled within 50-55 seconds, and model self-updating is achieved through online tracking. According to the method, the defects that traditional thermal power station fuel calorific value calibration is slow in response, a single control model is difficult to deal with complex problems, AGC response time is long and the like are overcome, the power station AGC load regulation rate and thermal power generating unit frequency modulation performance are remarkably improved, and power grid frequency stability is guaranteed.

The invention provides a coal-fired boiler digital twin modeling and intelligent control method, system, equipment and medium, and belongs to the technical field of thermal equipment intelligent control. The method comprises the steps that coal element analysis data, boiler operation parameters and environment parameters of a coal-fired boiler are collected in real time and preprocessed; calculating an external heat source sum and a heat loss sum, and outputting boiler heat efficiency; a twinborn model is constructed, model parameters are calibrated through data collected in real time and calculated boiler thermal efficiency, and boiler indexes are dynamically simulated and output; taking the collected data and the analog output boiler indexes as input characteristics, predicting boiler operation parameters through an LSTM model, generating an optimization control instruction by adopting a multi-objective optimization algorithm, inputting twin model simulation, outputting prediction parameters, and executing the control instruction when the prediction parameters meet preset constraints; and updating LSTM model training data according to the operation result. Intelligent monitoring optimization of the boiler is achieved, and efficiency, safety and environmental protection performance are improved.

The invention provides an optimization method of a magnesium slag sensible heat recovery system, which comprises the following steps: acquiring particle size distribution data of magnesium slag particles, and judging whether the problem of non-uniform particle size distribution exists or not according to a preset particle size threshold value; aiming at the problem of non-uniform particle size distribution, magnesium slag particles are classified by adopting a clustering algorithm, and the distribution areas of large particles and small particles are determined; according to the distribution area of the large particles, the rotating speed of the cooling roller is dynamically adjusted, and the accumulation probability of the large particles in the roller is reduced; the temperature change trend of the inner wall of the cooling roller is monitored in real time, and if it is detected that the local temperature abnormally rises, it is judged that local hot spots exist; when a local hot spot is detected, a spraying cooling system in the roller is started, and intensified cooling is conducted on a local area; pressure and temperature data of high-pressure and high-temperature water are collected in real time through a pressure sensor and a temperature sensor, and whether fluctuation exists or not is judged.

The invention discloses a once-through boiler separator water inlet intelligent early warning method based on dynamic fusion of ceiling temperature, feed water temperature and separator pressure, and belongs to the field of thermal power plant unit once-through boiler operation control. According to the method, parameters such as the ceiling temperature, the economizer feed water temperature, the separator pressure change rate, the feed water flow and the steam flow are collected in real time, a dynamic enthalpy value calculation model is built to solve the separator inlet working medium enthalpy, and a water inlet risk index evaluation model is built. Setting a working condition self-adaptive coefficient according to different loads, and when the risk index absolute value is greater than or equal to 50, triggering an alarm to prompt to increase the fuel quantity and reduce the feed water flow. According to the method, the problem of misjudgment caused by excessive dependence of false water level compensation on the pressure change rate under the deep adjustment working condition is solved, the water inlet risk identification precision of the separator is improved, the early warning response time is advanced by 10-15 seconds, misoperation under the deep adjustment working condition can be effectively avoided, and the method is suitable for the deep peak regulation working condition of the supercritical / ultra-supercritical once-through boiler.

The invention relates to the technical field of control regulation, in particular to a supercritical unit variable load rate dynamic compensation control method, which comprises the following steps: acquiring unit operation data, performing credibility restoration, and outputting a credible parameter set; a time sequence mapping table is constructed based on the credible data, and boiler heat storage lag time, steam turbine control valve delay and a steam temperature interstage coupling coefficient are quantified; correcting the boiler water supply feedforward instruction by using the heat storage lag time to generate a compensated water supply instruction; according to the time sequence mapping table and the main steam pressure change rate, a multi-genetic algorithm is adopted to optimize a control valve constraint rule, and a dynamically constrained control valve action instruction is generated; an inter-stage coupling coefficient is called to generate a swing angle compensation amount, and water spraying temperature reduction disturbance is blocked; safety locking parameters are monitored to trigger buffering intervention in a grading mode, and compensation instructions are integrated to implement cooperative correction. The problem of out-of-step response of multiple execution units under the variable load working condition is solved, and the unit adjusting rate and the control stability are remarkably optimized.

The invention belongs to the technical field of boiler monitoring, and discloses a boiler expansion control method and device. The method comprises the following steps: collecting expansion displacement data and environmental parameter data of each sensor group in real time; determining an abnormal expansion area corresponding to the boiler based on the expansion displacement data and the environmental parameter data; acquiring temperature distribution data of the abnormal expansion area; according to the temperature distribution data, output parameters of a combustor are dynamically adjusted, and sectional type temperature rising control is conducted in the temperature rising stage of the boiler; and when it is detected that the temperature of the abnormal expansion area is abnormal in the temperature rising process, a compensation combustion mode is executed so as to control abnormal expansion of the boiler. By means of the mode, dynamic adjustment and sectional type temperature rise control can be conducted on expansion, the expansion coordination control capacity under the complex working condition is remarkably improved, and leakage accidents caused by abnormal expansion of the boiler can be effectively prevented.

The invention relates to a fused salt heat storage system based on heat energy grading matching. The system comprises a first-stage heat exchange unit, a second-stage heat exchange unit, a third-stage heat exchange unit and a mixing unit, and the first-stage heat exchange unit comprises a first-stage fused salt heat storage loop and a first-stage heat exchange adjusting valve and is used for absorbing and storing high-grade heat of exhaust gas of an exhaust pipeline of a boiler furnace; the second-stage heat exchange unit comprises a second-stage fused salt heat storage loop and a second-stage heat exchange regulating valve and is used for absorbing and storing high-grade heat of main steam extraction of a main steam extraction pipeline of a high-pressure cylinder of the steam turbine; the third-stage heat exchange unit comprises a third-stage fused salt heat storage loop and a third-stage heat exchange regulating valve and is used for absorbing and storing low-grade heat of air exhaust of an intermediate-pressure cylinder of an air exhaust pipeline of the intermediate-pressure cylinder of the steam turbine; the mixing unit mixes the three kinds of exhaust heat and outputs working medium fluid meeting the target temperature so as to adapt to different preset operation working conditions of the thermal power generating unit. Therefore, heat energy can be stored and released in a gradient mode through the system, wide-temperature-range efficient utilization is achieved, and the flexibility and energy efficiency of the thermal power generating unit are improved.

The utility model provides a steam system which comprises a steam generator and an inner container, and the steam generator is used for generating steam; the steam pipe fitting is arranged on the inner container in a penetrating mode, and one end of the steam pipe fitting is connected with the steam generator; the flow blocking piece is arranged at the other end of the steam pipe fitting, at least part of the flow blocking piece and a steam outlet of the steam pipe fitting are opposite and arranged in a spaced mode, a flow blocking channel is defined by the flow blocking piece and at least part of the steam pipe fitting, and the flow blocking channel is communicated with a cavity of the inner container. And steam in the steam pipe fitting passes through the flow blocking channel and then enters the cavity of the inner container. By means of the technical scheme, the technical problem that in the prior art, noise of a steam system is large can be solved.

The invention discloses a fused salt steam generation system and a control method thereof. A high-temperature molten salt tank, a salt feeding pump, a molten salt channel of a second-stage superheater, a molten salt channel of a first-stage superheater, a molten salt channel of an evaporator, a molten salt channel of a preheater and a low-temperature molten salt tank of the system are communicated in sequence; the water supply end, the water supply pump, a steam-water channel of the preheater, the steam pocket, the pressure regulating valve, a steam-water channel of the first-stage superheater, the water spraying and temperature reducing device, a steam-water channel of the second-stage superheater and the steam removal end are sequentially communicated, and a descending pipe and an ascending pipe of the steam pocket are communicated with a steam-water channel of the evaporator. The control method aims at the system. The method has the advantages that the steam pocket pressure is actively adjusted during load rising, the liquid working medium is flashed, a load instruction can be quickly responded, steam is stably generated according to the instruction and merged into the steam turbine, and the stability and safety of the steam turbine are improved; the steam pocket of the evaporation system is used as steam storage equipment, so that an independent steam storage pocket is prevented from being arranged in the evaporation system, the cost is reduced, and the control logic is simplified.

The invention relates to the technical field of peak regulation of coal-fired power units, and discloses a self-adaptive regulation method and system for full-load peak regulation of a coal-fired power unit. The method comprises the steps of collecting unit operation parameters such as boiler temperature, turbine rotating speed and generator voltage, and power grid peak regulation instructions such as real-time load demand and predicted load fluctuation; analyzing a peak regulation state based on the collected data, and dividing the peak regulation state into three types of stable operation, transition regulation and limit peak regulation; then calculating an adjustment characteristic quantity according to the current state and the operation parameters, wherein the characteristic quantity reflects the matching relationship between the unit performance and the peak regulation requirement; generating a plurality of groups of adjustment schemes including combustion optimization, steam adjustment and power control based on the characteristic quantity and the peak regulation instruction; and selecting and executing an optimal scheme by evaluating indexes such as efficiency loss, stability influence and maintenance cost. The method can dynamically respond to the load change of the power grid, accurately adapt to the peak regulation requirement in the full load range, and enable the peak regulation of the unit to be more flexible and harmonious.

A method and system for boiler modification under deep peak regulation of a coal-fired power plant, comprising: before deep peak regulation of a coal-fired boiler of a coal-fired power plant, conducting boiler performance calculations under deep peak regulation; carrying out laboratory tests on the combustion characteristics of pulverized coal under a low load to obtain kinetic parameters related to the combustion characteristics of the pulverized coal, and using a numerical simulation method to study and obtain design parameters of a burner under the low load; carrying out on-site optimization tests for deep peak regulation on the coal-fired boiler of the coal-fired power plant to obtain on-site test data; with reference to the kinetic parameters related to the combustion characteristics of the pulverized coal and the design parameters of the burner under the low load, on the basis of the results of boiler performance calculations and the on-site test data, carrying out engineering modification under deep peak regulation; and carrying out on-site optimization to achieve optimal operation. By studying and obtaining the combustion characteristics of the pulverized coal and the design parameters of the burner under the low load, the method provides a basis for on-site engineering modification and can adapt to boiler modification under low-load deep peak regulation.

Systems and methods for generating and a controller for controlling generation of geothermal power in an organic Rankine cycle (ORC) operation in the vicinity of a wellhead during hydrocarbon production to thereby supply electrical power to one or more of in-field operational equipment, a grid power structure, and an energy storage device. In an embodiment, during hydrocarbon production, a temperature of a flow of wellhead fluid from the wellhead or working fluid may be determined. If the temperature is above a vaporous phase change threshold of the working fluid, heat exchanger valves may be opened to divert flow of wellhead fluid to heat exchangers to facilitate heat transfer from the flow of wellhead fluid to working fluid through the heat exchangers, thereby to cause the working fluid to change from a liquid to vapor, the vapor to cause a generator to generate electrical power via rotation of an expander.

The invention discloses a heating network heater drainage multi-path switching and water quality standard reaching control technology, and relates to the field of path switching and water quality control, and the technology comprises the steps: configuring a foundation of a heating network heater drainage system, including a conventional drainage path and an accident drainage path, the conventional drainage path is composed of a drainage pump, a drainage pipeline, a drainage control valve and a pipeline connected with a condensate water mother pipe, and the accident drainage path is composed of a drainage pipeline, an accident drainage control valve and a discharge connector connected with a waste heat boiler fixed discharge pipeline. A tubular heat supply network heater is arranged in a heat supply network circulating water system, and a multi-path drainage drainage system comprising a conventional drainage path and an accident drainage path is established on the outlet side of the heat supply network heater, so that graded recovery and abnormal isolation of drainage are realized; and continuously monitoring the hydrophobicity by combining an on-line conductivity analyzer, an on-line pH analyzer and an on-line iron ion analyzer.