310 results about "Thermal power station" patented technology

The invention discloses a meta-learning Bayesian optimization prediction method for multi-modal displacement of a tank body of a photo-thermal power station, and the method comprises the steps: collecting the data of displacement, temperature, vibration and the like through a multi-modal sensor, separating a displacement sequence into trend, season and residual components through STL decomposition, and carrying out the fusion with the data of the sensor, thereby constructing a 6-dimensional spatial-temporal characteristic matrix; a two-way LSTM-attention mechanism model is adopted, time sequence dependence is captured in a two-way mode, and key cross-modal features are dynamically weighted. And introducing meta-learning-guided working condition adaptive Bayesian optimization: pre-training a meta-model by using a historical working condition to establish a mapping relationship between working condition characteristics and hyper-parameters, dynamically dividing working conditions by real-time data, then activating a corresponding Gaussian sub-model, initializing a search space through meta-learning prior, and optimizing hyper-parameters in combination with an adaptive acquisition function. The test set evaluates the performance of the model through RMSE and MAPE, and finally three-way displacement real-time prediction and safety early warning are achieved. The prediction precision and the dynamic adaptability of the tank body of the photo-thermal power station under the complex working condition are remarkably improved.

The invention belongs to the technical field of island integrated energy systems, and particularly discloses a short-time scale low-carbon optimal scheduling method and system for an island integrated energy system, and the method comprises the steps: constructing an electricity-hydrogen-heat multi-energy coupled island integrated energy system model; constructing a real-time stepped carbon transaction model based on the interval to which the carbon emission quota participating in the carbon emission transaction belongs by using an island integrated energy system model; on the basis of a real-time stepped carbon transaction model, deviation penalty of new energy prediction is considered, one day is divided into n scheduling cycles, n is an integer larger than 1, a target function is constructed with the highest total income of a system as an optimization target, the optimization target is solved, and an optimized scheduling result is obtained. According to the invention, wind energy, solar energy, wave energy, stored energy, a photo-thermal power station and other energy sources are co-scheduled with electricity, hydrogen and water loads to form a dynamically balanced energy system; and high consumption and low carbon emission are kept as far as possible.

The invention relates to the technical field of peak regulation of power generation systems, in particular to a multi-mode power generation system for a new energy large base and an operation method of the multi-mode power generation system. The multi-mode power generation system comprises a thermal power station and a fused salt energy storage power station. The thermal power station comprises a boiler, a first turbine, a first water return unit and a first generator; the fused salt energy storage power station comprises a high-temperature fused salt tank, a low-temperature fused salt tank, a fused salt heating unit, a steam-water heating unit, a second water return unit, a second steam turbine and a second generator; an air inlet of the fused salt heating unit is configured to obtain steam flowing out of the boiler, and a second discharging opening of the fused salt heating unit is connected with the first water return unit; an air outlet of the steam-water heating unit is connected with the first steam turbine and the second steam turbine. The first water return unit and the second water return unit are connected with a second feeding port of the steam-water heating unit. The multi-mode power generation system can set different operation modes according to different requirements, so that the new energy large base can meet higher requirements.

The utility model provides a thermal power and compressed air energy storage coupled deep peak regulation coaxial unit which comprises a thermal power station boiler and further comprises a power generator, a steam turbine unit, a compressor unit, a motor / power generator and an expansion unit which are coaxially connected in sequence. The gas output end of the compressor unit is connected with the input end of the gas storage tank, and the output end of the gas storage tank is connected with the gas input end of the expansion unit; the steam turbine unit comprises a high-pressure cylinder, an intermediate-pressure cylinder and a low-pressure cylinder which are coaxially connected in sequence; a superheated steam pipeline of a thermal power station boiler is communicated with the gas input end of a high-pressure cylinder, the gas output end of a low-pressure cylinder is connected with the shell pass input end of a condenser, and the shell pass output end of the condenser is connected with the tube pass of a low-pressure heater through a condensate pump. The tube pass of the low-pressure heater is sequentially connected with the tube pass of the deaerator and the tube pass of the high-pressure heater, and the tube pass of the high-pressure heater is connected with the thermal power station boiler to form a loop. The advantages of the compressed air energy storage technology are fully exerted, peak regulation can be achieved on the premise that the operation efficiency of the thermal power generating unit is not reduced, meanwhile, the rapid regulation characteristic and flexibility of the unit are improved, and the capacity of the unit for responding to the peak regulation requirement of a power grid is greatly improved.

The invention relates to the technical field of photo-thermal power generation, in particular to a photo-thermal power station heat collection field power generation efficiency evaluation method and system, which can provide more accurate and real-time power generation efficiency evaluation. The method comprises the steps that design parameters, historical operation data and historical heat collection efficiency of a heat collection field of the photo-thermal power station are collected; according to the design parameters of the heat collection field of the photo-thermal power station, a simulation model of the heat collection field is constructed to simulate the operation condition of the heat collection field of the photo-thermal power station, and the simulation model comprises a minute-level mechanism model and an artificial intelligence correction module; inputting the historical operation data into the simulation model to obtain historical predicted heat collection efficiency; performing deviation analysis on the historical predicted heat collection efficiency and the historical heat collection efficiency to obtain a model correction index; the model correction index is substituted into the simulation model, the model is corrected, and a heat collection efficiency evaluation model is obtained; and acquiring real-time operation data, and inputting the real-time operation data into the heat collection efficiency evaluation model to obtain the power generation efficiency of the heat collection field.

The invention discloses a building carbon emission habit analysis method, device and equipment and a storage medium, and relates to the technical field of electric digital data processing. According to the method, the total energy consumption, such as the power consumption and the fuel combustion amount, of the building is obtained from resource purchasing which is easy to inquire, the total energy consumption, such as the power consumption and the fuel combustion amount, of the building can be obtained simply, and then each energy consumption device is separated to a thermal power station and a nuclear power station and to household appliances, cooking benches and the like of a residential building. The linear relation between the starting-up duration and the total carbon emission of each device is analyzed through linear regression, meanwhile, the size of a linear regression coefficient reflects the carbon emission of the device in unit time, and the larger the linear regression coefficient is, the larger the carbon emission of the device in unit time is. The carbon emission per unit time of each device can also be obtained from linear regression, and necessary data support is provided for the fields of subsequent large-scale carbon emission research and the like.

The invention discloses a centralized control system and method for production equipment of a thermal power plant, relates to the technical field of power plant monitoring, and solves the problems that when an existing thermal power plant control system monitors the production equipment in real time, due to the fact that the number of the production equipment is large and the number of monitoring items is large, the data size needing to be monitored is large, and the monitoring efficiency is high. The technical problem that the safety of the thermal power station is reduced due to the fact that part of emergency data cannot be quickly processed due to the fact that congestion possibly occurs during data transmission is solved. The data acquisition module is used for acquiring corresponding monitoring data in real time; the central processing module is used for generating a priority grade score corresponding to each piece of production equipment and generating an abnormal coefficient score corresponding to each piece of production equipment; generating a real-time transmission priority of each piece of monitoring data according to the priority grade score and the abnormal coefficient score; and the data transmission module is used for transmitting the real-time monitoring data to the data supervision module according to the real-time transmission priority.

The invention provides a thermal power steam turbine output checking method and system based on data correction, and the method comprises the steps: obtaining a water vapor enthalpy value through calculation according to the measurement point data of a thermal power station steam turbine set, and obtaining an enthalpy value vector of the thermal power station steam turbine set through the water vapor enthalpy value, calculating by utilizing the enthalpy value vector and a flow vector constructed by the corresponding through-flow flow to obtain output data of the turboset; according to a preset uncertainty coefficient, the measuring point data of the thermal power station steam turbine set are adjusted by using a deviation correction technology to obtain calibration data, and a residual error between the measuring point data and the calibration data is calculated by using a preset redundancy balance equation through the calibration data; correcting output data of the turboset according to the residual error to obtain a checking result of the turboset; and completing the output checking of the thermal power steam turbine according to the checking result.

The invention discloses an automatic cleaning system and method for a reflector of a photo-thermal power station. The automatic cleaning system and method are suitable for cleaning tower type photo-thermal electric field heliostats and linear Fresnel photo-thermal reflecting mirror surfaces. According to the scheme, the system is mainly composed of a water (gas) distribution vehicle, a reflective mirror area management point, a mirror surface cleaning module and a control system. The mode of combining the Internet of Things technology and remote control is adopted, work of water supply, air supply (blow-drying of the mirror surface) and facilities of scraping plates and spraying is achieved, and the purpose of cleaning the mirror surface is achieved. Wherein the center of the tower-type photo-thermal heliostat surface is provided with a rotating shaft and a spraying scraper blade; the linear Fresnel photo-thermal reflecting mirror surface is provided with a reciprocating type driving mechanism and additionally provided with a water spraying scraper blade facility. According to the system, cleaning equipment is integrated on the reflective mirror, water (gas) is supplied by the water (gas) supply vehicle, full-automatic and efficient cleaning is achieved, and the cleaning efficiency and quality of the reflective mirror are improved.

The invention discloses a hierarchical large model architecture and adaptive reinforcement learning fused multi-modal industrial operation and maintenance system and method and application, and relates to the technical field of industrial automation and artificial intelligence, the system comprises an expert layer module, a system layer module, a total work layer module, an adaptive reinforcement learning engine and a Bayesian collaborative network, the expert layer module is used for receiving equipment time sequence data and local knowledge manual word vectors and generating a preliminary operation and maintenance decision; the system layer module receives decision output of the at least two expert layer modules and corresponding system-level documents, and executes multi-modal data fusion and conflict resolution; according to the system and the method, the limitation of a single-layer model architecture, the obstacle of multi-modal data fusion and the low-efficiency defect of dynamic resource allocation are broken through, the intelligent level of the system is improved, the industrial operation and maintenance efficiency is optimized, and the system and the method have the advantages that the system and the method are easy to popularize and use. The method can be applied to hydropower stations, thermal power stations and intelligent manufacturing production lines.

The invention relates to the technical field of solar photo-thermal utilization, in particular to a photo-thermal power station fused salt circulation system and a regulation and control method.The system comprises light condensation and heat collection units which are connected in parallel, and a hot fused salt module comprises a hot fused salt main pipe and a hot fused salt tank which are arranged in a low position; the cold molten salt module comprises a high-terrain cold molten salt mother pipe, a low-position cold molten salt tank and a mother pipe communicating pipe for connecting the high-terrain cold molten salt mother pipe and the low-position cold molten salt tank, and the cold molten salt tank, the mother pipe communicating pipe, the hot molten salt mother pipe, the light condensation and heat collection unit and the cold molten salt mother pipe are sequentially communicated and circulate back to the cold molten salt tank to form a salt filling circulation path; the cold molten salt tank, the cold molten salt mother pipe, the light-gathering heat-collecting unit, the hot molten salt mother pipe and the hot molten salt tank are sequentially communicated to form a heat storage path, and the light-gathering heat-collecting unit, the hot molten salt mother pipe, the mother pipe communicating pipe and the cold molten salt tank are sequentially communicated to form a salt dredging path. The scale of hot molten salt pipelines needing expensive stainless steel materials can be reduced, the matched electric heat tracing and heat preservation requirements are synchronously reduced, and the material cost and the construction complexity are remarkably reduced.

The invention relates to the technical field of equipment state monitoring, in particular to a heating station equipment health state monitoring system and method. The method comprises the following steps: acquiring structural data of heating station equipment; carrying out topological structure analysis on the heating station based on the heating station equipment structure data to generate heating station equipment topological data; carrying out virtual simulation modeling on the structural data of the heating station equipment by utilizing the topological data of the heating station equipment to generate a three-dimensional model of the heating station equipment; extracting a heat exchanger area of the three-dimensional model of the heating station equipment, and performing heat exchange pipeline path analysis on the heat exchanger area to generate heat exchange circulation data; and surface acoustic wave sensor data acquisition is carried out based on the heat exchanger area to obtain heat exchange surface wave group speed change data. According to the method, through structural topology modeling, fine heat exchange area monitoring, dynamic damage accumulation analysis and closed-loop operation optimization, the accurate monitoring and risk early warning capability of the health state of the heating station equipment is comprehensively improved.

The invention discloses an electricity-hydrogen coupling system optimization scheduling method considering heat recovery and a photo-thermal power station. The method comprises the following steps: constructing an electricity-heat-hydrogen multi-energy flow collaborative model based on an electricity-hydrogen coupling system; the electric-heat-hydrogen multi-energy flow collaborative model transfers reaction waste heat to the photo-thermal power station through a heat recovery device while realizing conversion from electric energy to hydrogen energy and chemical energy; operation parameters of the heat recovery device are obtained, output of the photo-thermal power station is optimized based on the operation parameters, and an optimized electricity-heat-hydrogen multi-energy-flow collaborative model is obtained; and simulating the power flow distribution of the power distribution network in the optimization model by using a linear power flow model, and constraining and solving the optimization model to obtain an optimal scheduling scheme. The energy utilization efficiency and economical efficiency are improved through heat recovery and dynamic adjustment of the photo-thermal power station, and the system energy utilization rate, economical efficiency and wind and light fluctuation coping capacity are improved.

The invention discloses a prediction method for the anti-condensation heat demand of a fused salt storage tank based on a physical information neural network, and belongs to the technical field of operation management of a fused salt heat storage system of a photo-thermal power station. The method comprises the following steps: constructing a physical information neural network model of a fused salt storage tank system; environment parameters and tank body temperature field parameters of the fused salt storage tank system are collected, model training is carried out, the number of model iterations is set according to the composite loss function, and the dynamic mapping relation between the environment parameters and a tank body temperature field is obtained; on the basis of weather forecast data and the dynamic mapping relation, the temperature change of the fused salt in the storage tank during shutdown is predicted; and a heat loss integral equation is established in combination with freezing point characteristics, and the minimum anti-condensation heat demand during the shutdown period is calculated. According to the method, the problem of prediction misalignment of a traditional empirical model and a pure data driving method under complex meteorological conditions is effectively solved, and accurate calculation of the minimum anti-condensation energy is realized.

The invention relates to a molten salt groove type heat collecting device, an operation method of the molten salt groove type heat collecting device and a molten salt groove type photo-thermal power station, and belongs to the field of molten salt groove type photo-thermal power stations. The heat collection mechanism comprises a plurality of heat collectors which are connected in series through pipelines to form a heat collector group, and the two ends of the heat collector group are communicated to the molten salt tank; the heat collector set is arranged in a U shape, a pipeline at the bottom of the U shape is a middle jumper pipe, and the middle jumper pipe is located at the highest position. And a gas outlet of the gas heating mechanism is communicated with the middle jumper pipe. The two ends of the U-shaped heat collector set are communicated with the fused salt tank, the highest position of the heat collector set is communicated with the gas heating mechanism, heating and salt injection can be conveniently conducted on the heat collectors, the automation degree is high, and convenience and rapidness are achieved.

The invention belongs to the field of new energy power generation systems, and discloses a forced circulation steam generation system variable load operation optimization method and related equipment.The method includes the steps that a tube shell type evaporator numerical calculation model and a forced circulation system hydrodynamic balance model are established, and high evaporation capacity, evaporator efficiency and minimum cost serve as optimization targets; a multi-objective optimization model is constructed by combining the change of the flow of the fused salt and the flow of the circulating water; the model is solved by adopting a Pareto dominating method, and a Pareto optimal solution set can be output, so that optimized operation schemes of the forced circulation system under different loads can be formulated according to the optimal solutions; by the adoption of the method, high evaporator efficiency and evaporation capacity can be achieved, meanwhile, pump work loss can be effectively reduced, the key target in operation of the photo-thermal power station is achieved, namely, balance of high efficiency and low loss is achieved, and powerful support is provided for stable operation and economic benefits of the photo-thermal power station.

The invention discloses a photo-thermal power station key equipment failure consequence assessment method, device and equipment and a medium, and relates to the technical field of risk assessment, and the method comprises the steps: collecting and integrating the historical accident data of a photo-thermal power station, building an accident scene model, and recognizing key nodes such as equipment failure factors, response measures and states. The model is converted into a Bayesian network, the device state is a child node, and the influence factor is a father node; and determining the weight and conditional probability of each factor according to expert opinions by applying an interval type-2 fuzzy logic reasoning model, and evaluating the severity of the equipment failure consequence. According to the method, the historical accident data of the photo-thermal power station are collected and integrated, and the Bayesian network and the interval type-2 fuzzy logic reasoning model are combined, so that the potential risk of equipment failure can be identified and evaluated more accurately, and a scientific basis is provided for safe operation of the power station.

The application discloses a kind of zero carbon scheduling method of virtual power plant with photothermal power station considering and multi-element resource game, first, according to the different division of resource, the park controlled by the virtual power plant with photothermal power station is divided into park 1, park 2, park 3;Establish the game architecture of virtual power plant with photothermal power station and its internal multi-element resource;Establish the output model of photothermal power station containing organic rankine cycle ORC, heat collection mirror field HF, heat storage tank TES;Establish the output model of combined heat and power unit CHP, combined cooling heating and power unit CCHP, and establish actual carbon emission model based on it;Carbon responsibility on power supply side is apportioned to park 1, park 2 by position fair apportionment rule;Establish carbon capture-electricity to gas coupling model;Establish carbon trading model and green certificate income model after responsibility apportionment;According to photothermal power station output model, carbon capture-electricity to gas coupling model, carbon trading model and green certificate income model after responsibility apportionment, construct the master-slave game model of one master and multiple slaves with power balance as constraint condition, leader with realizing zero carbon operation and total income maximum as target, follower with income maximum as target;And solve the maximum income of leader and follower in master-slave game, obtain scheduling scheme.

The utility model relates to the technical field of solar photo-thermal power generation, in particular to a compressed carbon dioxide heat pump and heat conduction oil groove type photo-thermal coupled power generation system. The compressed carbon dioxide heat pump and heat conduction oil groove type photo-thermal coupled power generation system comprises a solar groove type heat collection module, a carbon dioxide heat conduction oil heat exchanger, a compressed carbon dioxide heat pump module, a fused salt heat storage module, a power generation module and a low-temperature heat storage module. The solar trough type heat collection module exchanges heat with the compressor compressed carbon dioxide heat pump module through the carbon dioxide heat conduction oil heat exchanger. The compressed carbon dioxide heat pump module exchanges heat with the low-temperature heat storage module through the fused salt heat storage module and the power generation module. The temperature of the fused salt in the trough type solar photo-thermal power station can be increased to 560 DEG C or above, the use amount of the fused salt is greatly reduced, the investment cost is reduced, and meanwhile steam parameters are improved, so that the power generation efficiency is improved.

The invention provides a thermal power station draught fan fault diagnosis method and system and a storage medium. The method comprises the steps that vibration, sound, temperature and pressure data of draught fans are collected and subjected to time-space alignment; constructing a three-dimensional physical model of the fan; carrying out sparse representation on the vibration and sound signals by adopting an improved K-SVD (K-Singular Value Decomposition) algorithm to generate codes for representing bearing fatigue and blade cracks; analyzing temperature and pressure data through heat conduction and CFD flow field simulation, and identifying an overheating area and a pressure abnormal path; establishing a multi-physical field coupling relationship through a tensor fusion algorithm, and constructing a deep belief network diagnosis model; and outputting a fault type and a three-dimensional space positioning result by using the diagnosis model. Through the steps of multi-physics field data acquisition, three-dimensional model construction, improved algorithm sparse representation, heat conduction and flow field simulation analysis, deep belief network model construction, real-time diagnosis and the like, the accuracy and efficiency of fault diagnosis are remarkably improved.

The invention provides an error compensation method for a heat absorption screen of a tower type photo-thermal power station and an automatic operation system for the tower type photo-thermal power station. The method is applied to a control system of a tower-type photo-thermal power station, and comprises the following steps: dividing an annual time interval to obtain a plurality of characteristic time periods; according to corresponding target point positions configured by a control system, compensation parameters used for adjusting the target point positions in the different characteristic time periods are generated, and the compensation parameters are stored in the control system; in the preheating stage of the tower type photo-thermal power station, the compensation parameter of the corresponding target point is read according to the characteristic time period to which the current date belongs; and sending the compensation parameters to a control system of the tower-type photo-thermal power station, adjusting the target point positions of the heat absorption areas through the control system, and sending the target point positions to corresponding heliostat controllers so as to carry out attitude adjustment compensation on the heliostats. According to the technical scheme, the preheating efficiency can be improved.

The invention provides a concrete construction method for a foundation raft of a heat absorption tower of a photo-thermal power station, which comprises the following steps of: laying a circulating cooling water system in a raft foundation through a water supply pipe, and uniformly arranging a plurality of temperature monitoring points in the longitude and latitude directions of the foundation raft; before concrete is poured, a cooling water pipe is filled with cooling water in advance, pouring is conducted through an inclined plane layering method, the thickness of each layer is 400 mm, and the layers are vibrated compactly; after concrete pouring is completed, the surface of concrete is covered with a layer of plastic film and then covered with a layer of cotton felt or regenerated blanket for heat preservation and maintenance, the internal and external temperatures of the concrete are measured regularly, the internal and external temperature difference of the concrete does not exceed 25 DEG C through water cooling, the internal temperature of the concrete is not larger than 70 DEG C, and the cooling speed of the concrete is controlled to be smaller than or equal to 2.0 DEG C / d. According to the method, concrete cracks caused by uneven heat dissipation inside and outside the concrete in the construction process are remarkably reduced.

The invention provides a foundation structure of a fused salt storage tank of a photo-thermal power station, which comprises a composite thermal insulation layer and a reinforced concrete retaining wall, the composite thermal insulation layer is arranged below a tank bottom plate of the fused salt storage tank, and the composite thermal insulation layer comprises a top cushion layer, ceramic fiber cloth and a ceramsite soil layer which are sequentially arranged downwards; an annular beam is arranged at the top of the composite heat preservation layer and composed of an annular steel plate and a heat-resisting concrete layer which are sequentially arranged below the tank bottom plate, a protective ring wall is arranged in the circumferential direction of the composite heat preservation layer, and a concrete foundation cushion layer with a built-in ventilation pipe and a built-in temperature measuring sleeve is arranged below the composite heat preservation layer. A circle of retaining wall is arranged on the periphery of the retainer wall, and the space between the retaining wall and the retainer wall is filled with compacted plain soil. The foundation structure reduces the leakage risk of molten salt.

The invention relates to a site selection method for a photo-thermal power station, and the method comprises the following steps: S1, simulating to select a target region on a map, and obtaining a topographic data set and an environment data set of the target region; s2, gridding the target area to obtain a plurality of grids; s3, extracting topographic data and environmental data of each grid according to the topographic data set and the environmental data set; s4, screening the plurality of grids by combining a plurality of preset threshold conditions according to the topographic data and the environmental data corresponding to each grid to obtain one or more candidate areas; s5, according to the topographic data and the environmental data of the grids contained in each candidate area, obtaining a comprehensive score of each candidate area; and S6, carrying out secondary site selection on the candidate region with the highest comprehensive score, and obtaining and outputting a site selection result. According to the site selection method of the photo-thermal power station, the optimal construction position of the photo-thermal power station can be obtained more scientifically.

The invention provides a one-key start and stop control method and system for a tower type photo-thermal power station, and belongs to the technical field of tower type photo-thermal power stations. Molten salt pipeline electric heat tracing preheating sequence control, steam generator water feeding temperature control sequence control, mirror field starting sequence control, cold salt pump starting sequence control, heat absorption tower molten salt bypass salt filling sequence control, heat absorber main path salt filling sequence control, vacuum system sequence control, steam generator cold salt filling sequence control, steam generator hot salt feeding sequence control and shaft seal system input sequence control are started in sequence. A steam bypass system is put into sequence control, and a turbine starts sequence control; and during stopping, sequentially starting steam turbine stop sequence control, mirror field stop sequence control, heat absorber salt dredging sequence control, cold salt pump stop sequence control, vacuum system stop sequence control, steam generator salt dredging sequence control, shaft seal system stop sequence control and auxiliary machine system stop sequence control. The operation process of the power station is simplified, the possibility of manual operation errors is reduced, and the operation accuracy is improved.

The invention discloses a steam temperature control method for a tower type solar photo-thermal power station, which fuses the control of a hot molten salt delivery pump and the control of inlet hot molten salt regulating valves of a superheater and a reheater according to the control characteristics of a regulating loop so as to effectively relieve the influence of temperature lag. Compared with the prior art, the method provided by the invention is based on an independent and decoupled operation mode of a superheated steam and reheated steam temperature adjusting loop so as to efficiently respond to the requirement of power change of the steam turbine generator unit. Meanwhile, the operation state and the change trend of the superheated steam temperature adjusting loop and the reheated steam temperature adjusting loop can adjust the operation of the hot salt pump flow adjusting loop. In order to organically coordinate the mutual relation, a control method based on the valve position of a regulating valve and the deviation characteristic of a control loop is set, and the valve position relation characteristic of the regulating valve in the superheated steam and reheated steam temperature regulating loop and the deviation state and trend information of the regulating loop are introduced into a combined valve position integrator and a combined monitor; operation of the hot salt pump flow adjusting loop is adjusted in real time through monitoring and judgment of the two.

The utility model discloses a cooling water waste heat recovery system for cultivation, and relates to the technical field of cooling water waste heat recovery, the cooling water waste heat recovery system for cultivation comprises a temperature adjusting device and a first pipeline, the temperature adjusting device is provided with a first water flow channel, an outlet of the first water flow channel is used for being communicated with a cultivation pool, and the first pipeline is provided with a second water flow channel. The temperature adjusting device is used for heating water flowing into the first water flow channel, an inlet of the first pipeline is used for being communicated with a circulating cooling water outlet of a thermal power plant, and an outlet of the first pipeline is selectively communicated with the inlet of the first water flow channel and one of the breeding ponds. According to the cooling water waste heat recovery system for breeding, the waste heat of the circulating cooling water is used for fishery breeding, recycling of the waste heat of the circulating cooling water can be achieved, energy is saved, huge economic benefits can be generated, meanwhile, a natural water area can be prevented from being affected by heat pollution, and the environment is protected.

The invention relates to the field of weather forecast, and discloses a DNI prediction method based on all-sky imaging and clear sky DNI fitting, which comprises the following steps: screening clear sky DNI data from DNI historical data, fitting a clear sky DNI model, and then carrying out clear sky DNI calculation by using the clear sky DNI model obtained by fitting to obtain clear sky DNI at each time point; inputting an all-sky image obtained in real time and an all-sky image obtained in the previous one minute into the trained double-picture convolutional neural network model, and predicting to obtain a clear sky index after # imgabs0 # minute; and multiplying the predicted clear sky index of the # imgabs 1 # after the minute by the corresponding clear sky DNI to obtain a predicted DNI value of the # imgabs 2 # after the minute. The method disclosed by the invention can reflect the change of actual DNI more accurately, has better prediction accuracy and strong adaptability, can be used for tower type solar thermal power generation systems in different regions, and is beneficial to reducing the operation cost of a photo-thermal power station.

The invention discloses a photo-thermal comprehensive utilization system based on artificial intelligence, which relates to the technical field of photo-thermal utilization and comprises a mode division unit, an energy analysis unit, a model construction unit and an energy prediction unit. The mode division unit divides the power generation modes into three modes according to the solar radiation intensity, the three modes are the sunshine sufficient mode, the sunshine insufficient mode and the sunshine lack mode, redundant energy is stored on the premise that normal operation of power generation equipment is guaranteed, the photo-thermal utilization rate is increased, and the power generation efficiency is improved. Meanwhile, the energy analysis unit combines the air pressure value, the temperature value, the humidity value, the wind speed value, the receiver parameter value, the solar altitude angle, the azimuth angle and the radiation intensity with the actual energy value, so that a correlation function is determined, and a subsequent LSTM prediction model can conveniently analyze the corresponding radiation intensity according to the meteorological data; the power generation mode of the photo-thermal power station is determined through the radiation intensity, the photo-thermal power station can be set in advance, and the overall operation efficiency of the system is improved.

The invention is suitable for the technical field of integrated energy scheduling, and provides an integrated energy scheduling method, system and device based on biomass gas and electricity-to-gas coupling. The mathematical model comprises a biomass gas and electricity-to-gas coupling model, a combined heat and power generation unit model, an electric heater model, a photo-thermal power station model and an electric energy storage model; a target function and constraint conditions are set, the target function takes the minimum scheduling cost as a target, and the constraint conditions comprise an electric power balance constraint, a thermal power balance constraint, a gas amount balance constraint, a carbon balance constraint, a power-to-gas constraint, a cogeneration unit constraint, an electric heater and photo-thermal power station constraint, a thermal energy storage and electric energy storage constraint and an energy purchase and sale constraint; and determining a low-carbon optimal scheduling scheme of the integrated energy system. According to the invention, the energy utilization rate in the low-carbon operation process of the comprehensive energy system containing biogas is effectively improved.