3899results about "Heat pumps" patented technology

The invention discloses a multi-sensor fusion heat pump full life cycle AI maintenance early warning system, and relates to the technical field of new energy utilization, and the early warning system comprises a data collection module which obtains operation parameters in a heat pump full life cycle based on a sensor array, and constructs a data set after preprocessing the parameters; the operation parameters comprise temperature, pressure, flow and micro vibration; the data fusion module is used for extracting trend correlation characteristics and parameter coupling characteristics from temperature, pressure and flow parameters by adopting a dynamic sliding window adaptive to a working condition, and preserving core nonlinear information through KPCA dimension reduction; the micro-vibration signal extraction comprises frequency domain and time domain features. According to the method, features are extracted through a working condition adaptive dynamic sliding window, then through cross-space mapping and a life cycle-working condition double-attention mechanism, the analysis and early warning module depends on a core feature mapping library and a two-dimensional dynamic baseline, through instantaneous and accumulated deviation double judgment, abnormal accurate recognition and stage division are achieved, and early warning perspectiveness is high.

The invention provides an underground heat supply system based on an air energy heat pump as a heat source and a remote monitoring method, and the system comprises a heat source dynamic tuning subsystem which carries out the dynamic parameter optimization processing of environment temperature and energy storage state data, and obtains an air energy heat pump operation instruction; first characteristic adjustment of air energy heat pump output is formed through an air energy heat pump operation instruction, and matching of the temperature of an energy storage water tank and an environment heat source is achieved. The underground hot air accurate adjusting subsystem obtains underground real-time temperature data, the underground real-time temperature data is subjected to spatial thermal field calculation processing to obtain air volume demand parameters, and dynamic balance between the air supply intensity and the underground thermal environment is formed; and the multi-stage cooperative control center subsystem performs three-stage logic verification processing on the signals of the air energy heat pump operation instruction and the fan frequency instruction to obtain an equipment regulation and control instruction set. The underground intelligent heat supply system of the air energy heat pump, which has the environment self-adaption capability, the dynamic balance capability of a thermal field and the remote monitoring characteristic, is constructed.

An automatic control system of an air source heat pump analyzes collected multi-dimensional operation parameters in real time based on a machine learning algorithm, constructs a high-precision thermal load prediction model, predicts thermal load requirements in the future 1-24 hours, controls prediction errors within 5%, and achieves minimization of energy consumption and maximization of heat storage efficiency on the premise of meeting operation constraints. The overall energy consumption is reduced by 15%-25% compared with that of a traditional system, the heat loss is reduced by dynamically adjusting the flow of a heat storage medium and optimizing the thermodynamic process of heat storage and heat release, and the heat storage efficiency is improved by 10%-15%. According to the invention, the advanced machine learning algorithm is adopted through the big data analysis module, the multi-dimensional operation parameters are analyzed in real time, a high-precision thermal load prediction model is constructed, the thermal load demand in the future 1-24 hours is predicted, and the prediction error is controlled within 5%.

The invention discloses a pressure storage and heat storage coupled regenerative heat pump power storage system and a regulation and control method thereof. The system is composed of an electric-power generation integrated unit, an energy storage compression and energy release expansion integrated unit, an energy storage expansion and energy release compression integrated unit, a high-temperature heat exchanger, a backheating heat exchanger, a cold energy absorption heat exchanger, a heat storage and cold storage storage tank, a high-pressure gas storage tank and the like. And an energy storage / energy release loop, a heat storage / heat release loop, a cold storage / cold release loop and a pressure heat coupling loop are formed by connecting pipelines. In the energy storage mode, the compressor unit is driven by electric energy to conduct multi-stage compression, and compression heat and expansion cold are stored in the high-temperature storage tank and the low-temperature storage tank correspondingly. In the energy release mode, the heat storage medium and the cold storage medium are sequentially released to supply heat or cold to the circulating working medium, and the expansion unit is driven to drive the generator to generate electricity. According to the method, bidirectional operation of energy storage and energy release is achieved through valve switching and circulation control, and power output and load change are adjusted within a second level through a pressure-heat coupling mechanism.

The invention provides a water working medium quasi-saturated compression high-temperature heat pump system based on an ejector, and belongs to the field of compression heat pumps. The problems that after an existing compression system flows through a throttling valve, the superheat degree of steam exhaust is large due to high-temperature lift compression, and the loss of available energy in the throttling process from condensate to a two-phase region is too large are solved. A multi-stage spraying atomization structure is adopted, a micro-nano liquid drop mist flow with the particle size controllable to be 50-200 nm and the liquid mass fraction adjustable to be 5%-10% is formed before compression, the airflow humidity regulation and control precision is remarkably improved, the quasi-saturation compression process is matched, and the thermal matching performance and the energy efficiency level of a system are effectively improved; a main flow inlet of the jet atomizer is changed into a compressor outlet from a condenser outlet, so that the response speed is increased, and meanwhile the jet atomizer is suitable for a complex variable-working-condition system; or single-stage compression is optimized into a two-stage compression form, so that higher heating temperature and more stable system operation are realized; or liquid from a lower-pressure position is injected, so that the injection capacity is improved.

The invention relates to the technical field of heat pump systems, in particular to a heat pump system temperature sensor fault diagnosis and fault-tolerant control method, which comprises the following steps that: a system calculates a temperature change rate based on a current temperature average value and a temperature average value in the previous second, and performs working condition identification in combination with the running state of a compressor; generating a working condition state label according to the working condition identification result; determining a current behavior template curve based on the working condition state label and the temperature change rate, extracting a temperature sliding sequence of the sensor in a second before the current moment, and generating a comprehensive behavior score by combining the current behavior template curve, the temperature sliding sequence and a sensor behavior deviation item; combining the comprehensive behavior score, the score stability adjustment item, the trend score value and the sensor behavior deviation item to generate a health score of the sensor; and the system performs normalization processing on the health score to generate a fusion weight, and the system outputs a temperature value in combination with the fusion weight and the thermal inertia offset compensation term.

The invention relates to the technical field of heat pumps, and provides an energy-saving control method and system for a solar combined heat pump, and the method comprises the steps: obtaining a heat energy feature vector according to a heat absorption power feature, a heat release power feature, an environment temperature feature, an environment humidity feature and a solar radiation intensity feature; obtaining a uniform coefficient according to the heat absorption uniformity, the heat release uniformity, the pipeline resistance coefficient and the equipment aging coefficient; a self-adaptive control target is obtained according to the heat energy feature vector, the uniformity coefficient and historical data; and operation control over the solar heat pump set is achieved according to the self-adaptive control target. According to the method, factors such as environment temperature and humidity which have remarkable influence on the performance of the heat pump are considered, the accuracy of heat pump unit uniformity identification can be improved, and the finally obtained uniformity coefficient better reflects the actual uniformity of the heat pump unit; the problems that according to an energy-saving control method of a solar combined heat pump in the prior art, heat energy characteristic analysis is limited, and a uniformity recognition model is single are solved.

The invention relates to a heat pipe energy pile, a heat pipe ground source heat pump system and an operation management method of the heat pipe ground source heat pump system, and solves the technical problems that an existing ground source heat pump needs extra power, is high in energy consumption and is difficult to adapt to winter and summer two-way energy supply, and the system comprises a pile foundation, a heat pipe, a heat exchanger and a heat pump unit. The heat pipe is combined with the pile foundation, is a vacuumized closed pipe body which is provided with a capillary core and filled with a phase change working medium, and is divided into an evaporation section at the lower part / side part of the pile foundation and a condensation section at the upper part of the pile foundation; the evaporation section exchanges heat with soil, the condensation section is connected with a heat exchanger, and the heat pump ground source side is connected with the heat exchanger; the capillary core drives a working medium to flow back autonomously through capillary force, and heat transfer or release is achieved. The system has the following effects that the contradiction between low consumption and annual energy supply in the prior art is solved, no extra power is achieved, two-way efficient energy supply in winter and summer is achieved, and energy consumption of a building cold and heat source system is greatly reduced.

The invention discloses a heat pump system state anomaly detection method based on a depth auto-encoder, and the method comprises the steps: collecting compressor data, and carrying out the standardization processing to construct a multi-dimensional time sequence; a spatial-temporal feature extraction depth auto-encoder with a thermodynamic coupling attention mechanism is constructed, coupling attention is utilized to calculate physical parameter coupling strength weights to extract spatial features, time features are extracted in combination with a long and short-term memory network, and normal state data are reconstructed and predicted through a decoder after fusion; residual vectors of predicted normal state data and original data are calculated, and a weighted mahalanobis distance is calculated by using a covariance matrix to generate an abnormal score; and constructing a sliding probability distribution model based on historical normal data, calculating a current score occurrence probability, and comparing the current score occurrence probability with a preset threshold to output an anomaly detection result. According to the method, a multi-physical parameter space coupling relationship and a time evolution rule are captured through a thermodynamic coupling attention mechanism, and the anomaly detection accuracy and robustness are improved.

The invention discloses an optimal scheduling method for a ground source heat pump system, and relates to the technical field of new energy utilization and intelligent control of a heat supply system.The method comprises the steps that the ground source heat pump system is divided into a tail end heat exchange layer, a water pump transmission and distribution layer and a source side heat pump coupling layer on the basis of a heat energy conversion and transmission path; constructing a response coupling relation and a mapping model; operating data of three layers of equipment are collected, a time sequence of each layer is established, a dynamic delay structure matching coefficient is calculated, and a multi-layer linkage response lag risk is identified based on a first threshold value; further monitoring a second derivative of the source side temperature change, calculating a thermal inertia interference index, and judging that the thermal response of the source side is abnormal in combination with a second threshold value; and the water supply flow of each branch is extracted, the target water supply value and the total flow of the system are combined, a flow deviation factor is calculated, flow distribution deviation is recognized according to a third threshold value, accurate strategy generation and intelligent scheduling control based on multi-parameter dynamic characteristics are achieved, and the response coordination and operation stability of the system are improved.

The invention relates to the technical field of heat pump system control, in particular to a heat pump system control method and system based on compressor rotating speed feedback. The method comprises the steps that a refrigerant side parameter cluster, an air side parameter cluster and a heat load side parameter cluster of the heat pump system in a preset sliding window are obtained, and a first refrigerating capacity, a second refrigerating capacity and a third refrigerating capacity are determined through the different parameter clusters so as to determine fault source positioning indexes corresponding to the different parameter clusters; comparing the fault source positioning index with a preset fault threshold value, and determining a fault sensor cluster from a refrigerant side parameter cluster, an air side parameter cluster and a heat load side parameter cluster; and controlling the rotating speed of a compressor of the heat pump system according to a determination result of the fault sensor cluster. According to the technical scheme, the rotating speed of the compressor of the heat pump system can be effectively controlled.

The invention discloses a heat allocation system based on a heat pump. The heat allocation system comprises a water tank; a water source heat pump; an air source heat pump; a cooling tower; a cooling water circulation system; a hot water circulation system; a chilled water circulation system; an exhaust heat recovery system; wherein the water tank, the water source heat pump, the air source heat pump, the cooling tower, the cooling water circulation system, the hot water circulation system, the chilled water circulation system and the exhaust heat recovery system are connected with one another to realize heat allocation, especially heat allocation of a coating pretreatment electrophoresis production line of a vehicle body or parts forming the vehicle body; according to the system, heat generated when the heat pump / refrigerating unit produces chilled water and / or heat taken away in exhaust air can be recycled and used for heating the heat using tail end. Therefore, the heat which is wasted originally can be fully utilized, the energy consumption is reduced, and the utilization efficiency of energy is improved.

The invention discloses a buried pipe heat pump system optimization method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining soil temperature data of a current buried pipe heat pump system in an operation cycle; dynamically correcting the heat exchange capacity of the current buried pipe heat pump system according to the soil temperature data to obtain actual heat exchange capacity data; the buried pipe distribution of the current buried pipe heat pump system is optimized and adjusted based on the actual heat exchange capacity data until a target buried pipe layout scheme capable of meeting the real-time heat exchange requirement is obtained; real environment parameter support is provided for dynamically correcting the heat exchange capacity by obtaining soil temperature data of an operation cycle; actual heat exchange capacity data are obtained through correction, and the problem that traditional fixed value evaluation is inaccurate is solved; and then the distribution of the buried pipes is optimized on the basis of the actual heat exchange capacity, so that the layout is accurately matched with the real-time heat exchange requirement, and finally the heat exchange efficiency of the system and the dynamic adaptability to the real-time requirement are improved.

The invention relates to the technical field of ground source heat pumps, and discloses a ground source heat pump buried pipe zoning layout and cold and heat balance control method which comprises the following steps that the current three-dimensional ground temperature field state of the area where a ground source heat pump buried pipe is located is obtained; predicting a future state sequence of the ground temperature field under different control strategies in a future prediction time domain; solving to obtain an optimal control sequence based on a multi-objective optimization function which aims at minimizing the comprehensive operation cost of the system in the prediction time domain; the multi-objective optimization function at least comprises an energy consumption item representing system short-term operation energy consumption and a balance item representing a ground temperature long-term balance state; and executing the first control action in the optimal control sequence. The prediction model constructed by the invention can combine a physical rule with a data residual continuously learned from actual operation, and ensures that prediction information on which a control decision depends always keeps high fidelity in long-term operation of the system.

The geothermal reservoir recharge system comprises a geothermal well used for discharging geothermal water; the recharge well is connected with the geothermal well through a geothermal pipeline, the distance between the recharge well and the geothermal well is larger than or equal to 100 m, and the recharge flow of geothermal water, leading to the recharge well, of the geothermal pipeline is smaller than or equal to 100 m < 3 > / h; the filtering device comprises a sand remover, a first filter and a second filter, the filtering diameter of the second filter is smaller than that of the first filter, the sand remover, the first filter and the second filter are sequentially arranged on the geothermal pipeline in the direction away from the geothermal well, the sand remover is adjacent to the geothermal well, and the first filter and the second filter are adjacent to the recharge well; and the heat exchanger is connected with the geothermal pipeline and the heated pipeline, so that geothermal water in the geothermal pipeline can heat the working medium in the heated pipeline through the heat exchanger. Therefore, according to the geothermal reservoir recharge system, blockage of the recharge well during recharge can be reduced conveniently, and the influence on the geothermal reservoir is reduced.

The invention provides a waste steam source high-temperature steam heat pump testing system based on heat energy cyclic utilization, and belongs to the field of compression heat pumps. The invention aims to solve the problems of unstable heat supply in a high-temperature lift, low energy efficiency of an evaporation end, poor temperature control effect of a low-level heat source side and limited thermal control means of an experimental platform. The system comprises a condenser, an expansion valve, a liquid storage tank, an evaporator, a compressor, a water spraying cooling tank, a steam pressure reducing valve, a circulating pump and a regulating valve, or a water mixing cooling tank and a heat supply liquid storage tank are additionally arranged, so that the dynamic balance and control of the temperature of the hot end of the system are realized; or a steam pressure reducing valve is replaced by a steam-water heat exchanger, so that heat exchange is carried out on condensed steam and working medium water to realize mild cooling, and redundant energy consumption is avoided; or a bypass adjustable shunting loop is arranged, so that partial high-temperature backwater bypass mixing is realized, and the thermal matching property and the operation stability of the system are enhanced. According to the invention, the output temperature of over 100 DEG C is realized, and the universality and debugging flexibility of experimental system design are realized.

The invention discloses a composite joint control method based on a frequency conversion air source heat pump system, and relates to the technical field of air source heat pump systems, and the method comprises the steps: building an HPF control framework, building a multi-input and single-output control model through machine learning, and coupling a PID feedback signal to generate a composite control basic signal; building load single-step forward prediction is carried out by adopting an LSTM neural network, and a building load prediction value is output through training and calculation of the neural network; the heat pump compressor is subjected to staged joint control; forward control is carried out on the load side circulating water pump; a differential switching mechanism is arranged, and water supply temperature deviation is monitored in real time. According to the variable-frequency air source heat pump composite joint control strategy, an HPF control framework, a compressor staged joint control and differential switching mechanism, load side water pump forward control and equipment cooperative linkage are integrated, model dynamic updating and switching parameter optimization are introduced, and the limitation of a traditional single control mode is broken through.

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

The invention relates to the technical field of heat pump units, in particular to a swimming pool heat pump unit with a self-adaptive defrosting function, which comprises a case body, a compressor, a condenser and a fin heat exchanger are arranged in the case body, the swimming pool heat pump unit further comprises a spray pipe, a defrosting water pump and a water pan, and the spray pipe is used for spraying water to the surface of the fin heat exchanger; the water inlet end of the defrosting water pump is connected with a water outlet of the condenser, and the water outlet end of the defrosting water pump is connected with the spraying pipe through a pipeline. The water pan is arranged below the fin type heat exchanger, and the bottom of the water pan is connected with a water inlet of the condenser through a pipeline. Water heated by the condenser is guided to the spraying pipe, then warm water is sprayed to the fin type heat exchanger through the spraying pipe to achieve defrosting, manual intervention is not needed, heat sources can be saved, and the low-power-consumption defrosting effect is achieved.

The present invention discloses a system and method for preventing and controlling frost heave damage in railway subgrades adapted to severe cold climates. This system belongs to the field of seasonal frozen soil engineering technology. The prevention and control system includes several ground-source heat pump devices consisting of heating units, heating pipes, heat collecting pipes, and a detection assembly. Several heating units are arranged at the foot of the subgrade slope along the length of the railway. The heating pipes are laid in the frost heave development layer of the subgrade, and the heat collecting pipes are installed in the stable layers of the foundation on both sides of the subgrade. A heat carrier circulates through the pipeline consisting of the heating pipes, heating units, and heat collecting pipes. Temperature sensors, pressure sensors, and displacement sensors are used to monitor the subgrade freezing temperature, heat carrier temperature, compressor intake and exhaust pressures, and track deformation, respectively. A control assembly receives signals from the detection assembly and controls the operating mode of the heating units. The present invention ensures rapid compressor superheat establishment during startup in severe cold environments and rationally controls the compressor exhaust temperature range and operating mode during normal operation.

The utility model discloses a seawater concentration bromine extraction system based on deep waste heat recovery and new energy driving, and belongs to the technical field of salt chemical industry and new energy. On the basis of an existing seawater concentration bromine extraction system, a new energy mode is adopted for process heating, and heat exchange jackets are arranged on the outer walls of a sulfur combustion furnace 1 and a high-temperature SO2 flue 3; low-temperature air is sequentially fed into a heat exchange sleeve 26 and a heat exchange sleeve 20 through an air feeder 21 and exchanges heat with high-temperature and high-corrosion flue gas in a flue and higher-temperature flue gas in a sulfur combustion furnace, then the low-temperature air is fed into a miniature high-temperature waste heat hot water boiler 10, water is fed into a heating furnace, and cooled flue gas is subjected to circulating heat exchange through the air feeder 21. High-temperature water of the miniature high-temperature waste heat hot water boiler 10 is fed into the flash tank 23 and generates flash steam, and after the temperature of outlet water is reduced, the outlet water returns to the flash tank 23 for circulating heat exchange. Flash steam of the flash tank 23 is mixed with steam produced by the high-temperature heat pump steam producing device 37 and the new energy electric heating steam furnace 38, and then the mixture is sent to the liquid chlorine water bath 51 and the like for process heating.

The invention provides a low-temperature heat pump liquid impact prevention and supercooling degree strengthening control method based on dual-mode self-adaptive regulation and control, which comprises the following steps: monitoring the bottom temperature of a gas-liquid separator and the change rate of the temperature, and controlling the supercooling degree of the gas-liquid separator on the basis of the difference value between the temperature and a preset safety critical temperature and the difference value between the change rate and a preset minimum temperature rise rate, constructing a liquid impact risk index; based on the liquid impact risk index, the pulse power excitation intensity is calculated, the number of opened spraying channels is selected according to the pulse power excitation intensity, the pulse duty ratio of each channel is adjusted, the high-temperature gas-state refrigerant is controlled to be injected into the bottom of the gas-liquid separator, and the liquid-state refrigerant is driven to evaporate; generating a mode switching score, and generating a mode switching signal when the mode switching score exceeds a mode switching threshold value and the temperature of the gas-liquid separator reaches a safety lower limit; and according to the mode switching signal, a supercooling degree strengthening mode is switched, and the opening degree of an economizer branch electronic expansion valve is adjusted according to the deviation between the current supercooling degree and the target supercooling degree.

A system for generating steam for industrial heat. The system may include a plurality of heat pump cycles in thermal communication with each other and in thermal communication with a steam generation cycle. The plurality of heat pump cycles may include first and second heat pump cycles. The first heat pump circulates a first a working fluid and includes a first heat exchanger. The second heat pump cycle circulates a second working fluid and includes a second heat exchanger. The first heat exchanger transfers heat from the first to the second working fluid. The second heat exchanger transfers heat to a third working fluid in the steam generation cycle.

The invention relates to the technical field of ground source heat pump operation control, in particular to an optimal adjustment method of a ground source heat pump system, which comprises the following steps: S1, collecting underground soil temperature and system heat load of the ground source heat pump system; s2, calculating a soil heat balance index based on the underground soil temperature; s3, according to the soil heat balance index and the system heat load, the optimized operation mode of the ground source heat pump system is judged; and S4, according to the optimized operation mode judged in the S3, the operation parameters of the ground source heat pump system are adjusted, and a corresponding execution mechanism is driven. According to the method, the operation mode is judged by introducing the soil heat balance index and combining the system heat load, meanwhile, the flow of the circulating water pump, the frequency of the compressor and the opening degree of the heat exchange valve are subjected to interval adjustment, and unification of energy efficiency optimization and long-term balance of the soil heat environment is achieved.

The invention discloses an AI-based variable frequency heat pump control method and a control system thereof. The method comprises the following steps: S1, data acquisition; s2, data preprocessing; heat demand load prediction and operation parameter dynamic optimization are achieved through the AI model, the response speed of the environment temperature and heat demand changes is effectively increased, the parameter matching precision is effectively improved, the problems that traditional control response is lagged, and adaptability is poor are effectively solved, and the control accuracy is improved. The energy consumption of the system can be reduced under complex working conditions such as extreme temperature and sudden load change through a reinforcement learning algorithm, and the self-adaptive energy-saving capability of a multi-element scene is remarkably improved; meanwhile, based on a fault diagnosis scheme of a CNN and Transform fusion model, the fault diagnosis accuracy is effectively improved, the false alarm rate is effectively reduced, the defects of traditional threshold judgment are overcome, and in addition, the method can adapt to working condition changes and equipment aging characteristics for a long time in cooperation with model self-learning and parameter online updating functions.

The invention relates to the field of uranium concentration, and discloses an energy-saving device and method for drying a first-batch centrifugal unit. According to the device, an inlet of a centrifugal machine is connected with an outlet of an evaporator through a pipeline provided with a fourth cooling valve and an eighth cooling valve and is connected to the secondary side of a cooling plate heat exchanger and the secondary side of a heating plate heat exchanger respectively; an outlet of the centrifugal machine is connected with an inlet of the evaporator through a sixth cold valve, a first cold valve and a second water pump. An inlet of the sixth cold valve is connected with the secondary side of the heat supply plate heat exchanger through a first water pump. The primary side of the cold supply plate heat exchanger is connected with a newly-built cooling tower loop, and the primary side of the heat supply plate heat exchanger, the condenser and the newly-built cooling tower form circulation. By optimizing system connection and a heat energy circulation path, the energy utilization efficiency and the equipment utilization rate are effectively improved, and the investment and operation cost is remarkably reduced.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

The present invention relates to a refrigerant circuit, in particular a refrigerant circuit for a heat pump, and to a heat pump for heating and cooling a building. The refrigerant circuit comprises a first heat exchanger (8) configured to function as an evaporator or as a condenser, and a second heat exchanger (7) also configured to function as a condenser or as an evaporator.The refrigerant circuit further comprises a compression section (90) located downstream of the first heat exchanger (8) or downstream of the second heat exchanger (7), an expansion section (20) located downstream of the second heat exchanger (8) or downstream of the first heat exchanger (7), a first directional control valve (3) configured to supply refrigerant to the expansion section (20) and to discharge refrigerant from the expansion section (20), and a second directional control valve (4) configured to supply refrigerant to the compression section (90) and to discharge refrigerant from the compression section (90).

The invention relates to a working parameter linkage regulation and control method and system for a medium-deep geothermal water source heat pump, in particular to the field of medium-deep geothermal water source heat pumps, firstly, disturbance signals are generated through reinforcement learning and injected into a geothermal loop, and therefore the dynamic mapping precision of an underground heat reservoir is improved; secondly, the thermal diffusion coefficient and the fracture rate of the rock stratum are inversed through the physical information neural network model, and real-time monitoring of underground thermal storage is achieved; secondly, predicting the difference between the heat supply load and the geothermal heat absorption capacity by using the meteorological data, the room temperature data and the heat pump operation parameters, generating a regulation and control decision, and setting a grading trigger condition; and finally, a phase change heat storage device and a compressor are precisely regulated and controlled through a double-actuator collaborative algorithm, the response speed and energy efficiency of the heat pump system are improved to the maximum extent, the room temperature fluctuation problem is relieved, frequent frequency modulation is avoided, starting of a standby boiler is reduced, and therefore the operation efficiency and stability of the heat supply system are optimized.

The invention discloses a heat pump cold and hot cycle control system based on an intelligent AI, and relates to the technical field of heat pump control, and the system comprises a heat pump system digital twinborn body module which obtains the historical operation data of a heat pump, analyzes the multi-dimensional characteristics of the heat pump under a specific working condition, couples a heat pump mechanism model, and builds a virtual simulation heat pump digital twinborn body; the dynamic load prediction curve module is used for acquiring real-time operation data of the heat pump, introducing an environmental factor as an external dynamic disturbance variable and generating a dynamic load prediction curve of the heat pump; the heat pump system optimal operation mode module is used for generating a user personality portrait, integrating a heat pump load prediction curve, real-time electricity price information and an equipment health state evaluation index, and substituting the user personality portrait, the heat pump load prediction curve, the real-time electricity price information and the equipment health state evaluation index into the virtual simulation heat pump digital twin body to obtain a heat pump optimal operation mode; and the global optimal control instruction set module is used for generating a heat pump global optimal control instruction set by taking the heat pump comprehensive energy efficiency ratio and the user comfort as collaborative optimization targets and utilizing a multi-target decision algorithm. The comprehensive energy efficiency of the system is improved.