19 results about "Thermal power station" patented technology

The application provides a heat absorption tower structure system of a tower type photo-thermal power station, which comprises a heat absorber, a concrete cylinder, a vertical cylinder, a steel frame, a reinforcing mechanism, a first connecting mechanism and a second connecting mechanism. The vertical cylinder is arranged in the cavity of the concrete cylinder and partially extends out of the concrete cylinder, the steel frame is arranged above the concrete cylinder and surrounds the outside of the vertical cylinder, and the heat absorber is arranged on the steel frame. The reinforcing mechanism is connected between the concrete cylinder and the steel frame to limit the movement of the steel frame relative to the concrete cylinder, thereby realizing the vertical conversion of the steel-concrete structure. The first connecting mechanism fixedly connects the concrete cylinder and the vertical cylinder to form a rigid horizontal connection of the lower tower body. The second connecting mechanism connects the steel frame and the vertical cylinder and allows the relative horizontal displacement of the two within a preset range. The heat absorption tower structure system has high stress synergy and deformation coordination capability, can reduce the construction cost, and meets the requirements of high reliability, light weight and stable support of the heat absorption tower of the tower type photo-thermal power station.

The application discloses a kind of power generation systems based on friction nanogenerator, including photo-thermal power generation system, heat storage system and friction nanogenerator component.This system is a kind of comprehensive power generation system that TENG wind power generation system is combined with photo-thermal power generation system, the application will large-area TENG power generation system be arranged in solar photo-thermal power station reflector back with array distribution, saves the support part investment of TENG power generation system.Meanwhile, the electric energy of TENG power generation is directly converted into heat energy storage and is stored in the molten salt energy storage system matched with photo-thermal, realizes the energy storage function of wind power generation, and does not need to increase energy storage investment, saves the investment of downstream power transmission and transformation equipment, inverter and other equipment equipped with TENG power generation system, finally, due to the energy storage of TENG power generation system contribution, mirror field area of photo-thermal power generation system can be reduced, and the investment of photo-thermal power station itself will be reduced.

This application provides a heliostat intelligent correction control method based on four-quadrant meteorological monitoring and an intelligent correction control system for a tower solar thermal power plant. The method includes: collecting real-time DNI values ​​from meteorological stations in the southeast, southwest, northwest, and northeast quadrants of the tower solar thermal power plant's mirror field, as well as the time-series operating parameters of the heliostat, to obtain real-time monitoring data; determining the operating status of each quadrant based on the real-time monitoring data, including real-time DNI values, DNI change slopes, and fluctuation amplitudes, whereby the operating status includes normal or abnormal; and executing a preset correction strategy based on the operating status of each quadrant. The technical solution of this application provides a heliostat correction method that simultaneously addresses systematic deviation correction and suppresses random meteorological interference, thereby improving the accuracy of angle prediction and tracking stability under complex weather conditions.

The application discloses a kind of based on attention mechanism and reinforcement learning's ultra-short-term DNI prediction method, comprising: collecting solar thermal power station historical measured direct normal irradiance data and meteorological characteristic data;Periodic time characteristics and historical lag term are introduced to enhance time series dependence;Utilize bidirectional long short-term memory network to extract DNI time series features, construct attention mechanism based on dynamic change of cloud amount, strengthen the response capability of model to weather mutation;Adopt KAN to replace traditional full connection to high-dimensional nonlinear characteristics Adaptive function approximation is carried out;Introduce PPO reinforcement learning algorithm, dynamically optimize model feature representation and parameter, realize error self-feedback correction;Output DNI prediction result, for the dispatching and operation control of concentrating solar thermal power generation system.The method can effectively improve the DNI prediction accuracy and robustness under complex weather conditions, provide high-precision prediction support for photo-thermal power generation and renewable energy grid connection.

This disclosure pertains to the field of nuclear power technology, specifically relating to a wastewater treatment system for thermal power plants. The system provided by this disclosure enables the separate treatment of condensate polishing regeneration wastewater, reducing the difficulty of treating wastewater mixed with other wastewater; it achieves resource utilization of condensate polishing, giving pollutants resource-recovery characteristics, recovering resources in the form of ammonium sulfate and sodium chloride, saving solid waste disposal costs. This not only has environmental benefits but also brings economic benefits to the power plant, reducing overall wastewater treatment costs. Furthermore, the system of this disclosure occupies less space, is easier to use, and achieves flexibility in plant layout and intensive land use.

The application provides a kind of photothermal power station steam generation system online life monitoring method and system, belong to solar photothermal power generation and industrial equipment digital twin and condition monitoring technical field, the monitoring method constructs system level zero-dimensional dynamic simulation model, by carrying out offline three-dimensional thermal coupling analysis to different heat exchanger, stress concentration parts are identified and extracted as local three-dimensional model.Online monitoring, use measured parameters and lumped parameter micro-element model to generate local boundary conditions to drive local three-dimensional model calculation.At the same time, according to the difference of running temperature life evaluation: for the equipment below threshold temperature, carry out fatigue life evaluation based on thermal coupling;For the equipment higher than or equal to threshold temperature, further carry out local creep analysis, realize high-precision life evaluation under the interaction of creep-fatigue by superposition processing.The application greatly reduces the amount of calculation, realizes the efficient, online real-time life monitoring of photothermal key equipment under high temperature complex working condition.

The application discloses a simulation method for radiation flux density distribution of a tower type photo-thermal power station receiver considering refraction influence. Since a heliostat usually adopts a silver-coated glass reflector, the method considers the refraction effect of light on the glass layer, specifically comprising the following steps: obtaining heliostat field parameters, performing heliostat rotation focusing, and performing light incidence and shielding analysis; using a pre-trained full connection neural network to infer radiation flux density distribution parameters; after sampling the mirror field, a Monte Carlo ray tracing method considering refraction is used to simulate reflected light spots on the imaging plane; an elliptical Gaussian function with a cross term is used to fit the light spots and extract parameters, and a training set is constructed based on the sampling, simulation and fitting data to optimize the neural network; finally, the radiation flux density distribution of each heliostat on the imaging plane is calculated through the neural network inference parameters and the elliptical Gaussian function with the cross term, and is projected obliquely and parallelly to the receiver surface. The application combines high-precision simulation and neural network, and realizes efficient and accurate heliostat field light spot analysis.

This disclosure proposes a Rankine cycle system for a solar thermal power plant coupled with a heat pump energy storage system. The system includes a photovoltaic power plant (01), a solar thermal power plant (02), a heat pump energy storage system, and a Rankine cycle system. The photovoltaic power plant (01) provides electricity to the heat pump energy storage system; the solar thermal power plant (02) provides a low-grade heat source to the heat pump energy storage system; and the heat pump energy storage system drives the Rankine cycle system to generate electricity. Based on this system, low-cost photovoltaic electricity can be used to drive the heat pump energy storage system to convert the low-grade heat source generated by the solar thermal power plant into a high-grade heat source. The high-temperature heat source stored in the heat pump energy storage system generates high-quality steam to drive the Rankine cycle system to generate electricity, achieving improved thermal energy quality and value, reducing solar curtailment, lowering the coal consumption level of the Rankine cycle system, and contributing to the green and low-carbon transformation of the new power system.

The application discloses a kind of based on attention mechanism and reinforcement learning's ultra-short-term DNI prediction method, comprising: collecting solar thermal power station historical measured direct normal irradiance data and meteorological characteristic data;Periodic time characteristics and historical lag term are introduced to enhance time series dependence;Using bidirectional long short-term memory network extracts DNI time series features, constructs attention mechanism based on the dynamic change of cloud amount, and strengthens the response capability of model to weather mutation;Adopt KAN to replace traditional fully connected to high-dimensional nonlinear characteristics Adaptive function approximation;Introducing PPO reinforcement learning algorithm, dynamically optimizing model feature representation and parameters, realizing error self-feedback correction;Output DNI prediction result, for the dispatching and operation control of concentrating solar thermal power generation system.The method can effectively improve the DNI prediction accuracy and robustness under complex weather conditions, and provide high-precision prediction support for photo-thermal power generation and renewable energy grid connection.

Embodiments of the present disclosure provide a heat-conducting oil photo-thermal power station reconstruction system and a reconstruction method thereof. The reconstruction method comprises adding a high-temperature heat collection mirror field for heating molten salt to 560 DEG C; reconstructing the original photo-thermal power station to replace the high-pressure evaporator and the high-pressure superheater to withstand high feed water pressure; adding a cold salt pump and a high-temperature hot salt tank; adding a hot salt pump, a molten salt steam superheater, a high-temperature steam turbine and a first generator; the high-temperature hot salt tank is pumped to the molten salt steam superheater by the hot salt pump to exchange heat and cool down; the steam output by the high-pressure superheater is sent to the molten salt steam superheater to exchange heat and warm up; the warmed-up steam is used to drive the added high-temperature steam turbine and the first generator to generate electricity; the exhaust steam of the high-temperature steam turbine is led back to the original high-pressure cylinder. Higher-level temperature photo-thermal power generation can be realized, the power generation power and the power generation capacity of the power station are improved, and the overall power generation efficiency is improved.

The application discloses a heliostat and a method for reducing shading loss in a mirror field of a tower type photo-thermal power station, the heliostat comprising a reflecting mirror, a support and a driver, the reflecting mirror comprising a main reflecting mirror and auxiliary reflecting mirrors located on both sides of the main reflecting mirror, the auxiliary reflecting mirrors and the main reflecting mirror being connected through hinges, the back of the main reflecting mirror being provided with a truss, the truss being connected to the support through the driver, the truss being provided with a fixed end of an electric telescopic rod, the output end of the electric telescopic rod being connected to the back of the auxiliary reflecting mirror, the back of the auxiliary reflecting mirror being fixed with a photosensitive device, and the photosensitive device converting light signals into electric signals and transmitting the electric signals to a control system of the mirror field. According to the method, the heliostat can be automatically adjusted according to the shading condition when the solar elevation angle is very low, so that the shading loss is reduced, the overall optical efficiency of the mirror field is improved, and the heliostat returns to the original state when no shading occurs, so that the light collecting area is effectively increased.

1. The name of the design product: heat exchanger (boiler of thermal power station). 2. The use of the design product: the design product is used for heat exchanger of boiler equipment. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

1. Name of the designed product: water cooling wall (boiler of thermal power station). 2. Use of the designed product: the designed product is used as a cooling accessory for the boiler. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application discloses a kind of dynamic rotating heliostat mirror damage identification method based on unmanned aerial vehicle;The core is to build the intelligent perception architecture of "air-ground cooperation", the video stream of moving mirror is collected in real time by visual sensor carried on unmanned aerial vehicle platform;Dynamic image stabilization algorithm based on depth feature optical flow and motion compensation is used to offset the coupling interference of unmanned aerial vehicle pose disturbance and target motion;At the same time, a kind of lightweight, attention-guided multiscale attention fusion network is designed, which realizes pixel-level sensitivity and millimeter-level identification of typical defects such as microcracks, stains and coating peeling;Finally, through the spatio-temporal correlation reasoning engine, the damage quantification atlas with geographic information label and operation and maintenance decision suggestion are output.The application breaks through the technical limitations of static or slow target detection, realizes the full-automatic, high-frequency and high-reliable health state inspection of large-scale rotating mirror array, and significantly improves the intelligent operation and maintenance level and power generation efficiency guarantee capability of the solar thermal power station.

The application discloses a kind of thermal power station regulating capacity online prediction method and system, to solve the problems such as the deviation caused by the simple splicing of AGC and unit parameters in existing system, insufficient explainability etc.The application includes: collecting thermal power station operating parameters and external dispatching signals to form multi-source data input vector;Abnormal value and missing value are processed and normalized;Encoder is constructed, and through cross attention, the time step dynamic alignment of multi-source features and load sequence is realized, and a fusion feature vector is generated;Decoder is constructed, and probabilistic prediction is realized through forward sampling, and the unit regulating capacity prediction result and confidence interval of uncertainty quantization are output;Online evaluation and adaptive update.The application can make the model learn the contribution weight of different time lag multi-source data features to load, realize the explainable "instruction-response" alignment, reduce the prediction deviation and improve the engineering explainability, and provide reliable decision basis for power grid dispatching and unit control.

This utility model discloses a centralized oxygen supply system for a solar thermal power plant in high-altitude areas, including an oxygen supply device. The oxygen outlet of the oxygen supply device is connected to an internal oxygen supply pipeline in one or more oxygen-using rooms via an external oxygen supply pipeline. The oxygen supply device is a skid-mounted VPSA oxygen generator. The internal oxygen supply pipeline includes an electrically controlled valve, and its outlet is connected to a diffused oxygen supply terminal. This utility model provides a feasible oxygen supply system for solar thermal power plants in high-altitude areas. The combination of a centralized oxygen supply system and a diffused oxygen supply terminal enables continuous oxygen concentration regulation in working and living areas. The diffused oxygen supply method can stably raise the indoor oxygen content to near-plain levels. Maintenance personnel can obtain sufficient oxygen through natural breathing without wearing nasal inhalers while working, inspecting, or sleeping, significantly reducing the incidence of acute and chronic altitude sickness, while also relieving fatigue and improving concentration, providing health protection for the safe and efficient operation of the power plant.

This invention relates to the field of pile foundation technology and provides a method for arranging pile foundations for solar thermal power plant absorber towers. The method includes: constructing pile foundation location parameters to characterize the pile foundation arrangement of the absorber tower; constructing a fitness function for pile foundation cost based on the functional relationship between pile foundation cost and pile foundation location parameters; and solving the fitness function using an intelligent optimization algorithm to obtain the pile foundation location parameters that minimize cost. This invention can meet the vertical force requirements of the absorber tower's superstructure and minimize project cost through reasonable pile placement, providing technical support for pile foundation design for absorber towers, a special structure in actual site conditions.

The application discloses a kind of virtual power plant optimization scheduling method considering carbon trading and demand response, steps include: establishing considering carbon trading and demand response of virtual power plant and the master-slave framework of centralized photo-thermal power station;Formulate the step-by-step carbon trading mode of virtual power plant;Virtual power plant demand response model is constructed based on power load and heat load characteristics;The master-slave game model of distribution system operator-virtual power plant is constructed;Solve master-slave game model, the result value of decision variable is as virtual power plant optimization scheduling strategy, and the virtual power plant is controlled to execute optimization scheduling strategy.The present application can make system carbon emission and total cost be reduced, while increasing distribution system operator income, improve the low-carbon economic benefit of virtual power plant.

The application discloses a power plant flue gas carbon dioxide capture desorption system and method, which comprises an absorption tower, an outer flue gas inlet of the absorption tower is connected with the flue gas pipeline of a thermal power plant through a flue pipe, a liquid pump one is arranged outside the absorption tower, a liquid collecting pipe is connected with the outside of the absorption tower and is used for collecting amine liquid loaded with CO2 in the absorption tower, the other end of the liquid collecting pipe is connected with the liquid pump one, a heat exchanger one is connected with the liquid outlet of the liquid pump one, an inlet of a separator one is connected with the heat exchanger one, one discharge outlet of the separator one is connected with a compressor one, and the other discharge outlet is connected with a liquid pump two, the compressor one and the liquid pump two are connected with a desorption tower, and the application combines carbon capture technology and renewable energy, realizes efficient separation and low-carbon treatment of CO2, and simultaneously considers energy recovery and storage.