9247 results about "Heat pump" patented technology

A vacuum insulating panel may include: a first substrate; a second substrate; a plurality of spacers provided in a gap between at least the first and second substrates, wherein the gap is at pressure less than atmospheric pressure; a pump-out / evacuation tube extending at least partly into an aperture in one of the substrates; and a pump-out / evacuation tube seal. The pump-out / evacuation tube seal may include at least one of: (a) from about 20-80 wt. % tellurium oxide, the tellurium oxide comprising TeO4 and TeO3, wherein the pump-out tube seal comprises more TeO3 than TeO4 by wt. %; and / or (b) tellurium oxide and from about 10-50 wt. % vanadium oxide, wherein the pump-out tube seal by wt. % comprises more tellurium oxide than vanadium oxide, and wherein the vanadium oxide comprises VO2 and V2O5, and wherein more V in the pump-out tube seal is in a form of VO2 than V2O5. A substantially donut-shaped laser beam may be used to heat pump-out tube material in order to form a pump-out tube seal.

The present invention provides a multi-drum washing machine, comprising a first drum, a second drum, and an electric heating system. The electric heating system is capable of generating a hot air flow, and the hot air flow of the electric heating system can be delivered to the first drum and / or the second drum simultaneously or separately. The multi-drum washing machine also comprises a first drum and a heat pump system. The heat pump system is capable of generating a hot air flow, and the hot air flow of the heat pump system can be delivered to the first drum. Compared with the prior art, the multi-drum washing machine described in the present invention uses a common electric heating system for drying the first and second drums, thereby reducing the manufacturing cost and space occupied by the multi-drum washing machine. The first drum uses the heat pump system for drying, avoiding the need for three drums to be dried simultaneously using a single drying system, thereby improving the drying effect of the clothes, shortening the drying time, and enhancing the user experience.

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 a ground source heat pump buried pipe system design method based on building load change, comprising the following steps: S1, acquiring geological survey data, meteorological data and building load data, and presetting buried pipe heat exchange system parameters; s2, establishing a multi-physics field coupling numerical model; s3, transient simulation is carried out through a multi-physics field coupling numerical model, and system short-term thermal response characteristic data corresponding to each candidate length are acquired and stored; s4, constructing and training a long-term dynamic performance prediction model through the long and short-term memory network model; and S5, based on a multi-objective optimization algorithm, solving a multi-objective optimization problem, obtaining a group of Pareto optimal buried pipe total length solution sets, and selecting a final buried pipe optimal total length from the optimal solution sets. According to the method, the design precision of the ground source heat pump buried pipe can be remarkably improved, the long-term dynamic prediction capacity is achieved, the reliability, economical efficiency and environment friendliness of long-term operation of a ground source heat pump system can be guaranteed, and the design efficiency and reliability are improved.

A heat pump system of a vehicle includes a first cooling device including a battery module and a first line for circulating a coolant, an air conditioner unit including a compressor, an internal condenser, a main heat exchanger, a first expansion valve, and an evaporator that are interconnected through a refrigerant line for circulating a refrigerant, and a chiller connected to the first cooling device through the first line, connected to the refrigerant line through a first connection line, and configured to adjust a coolant temperature through heat-exchanging a selectively introduced coolant with the refrigerant. The air conditioner unit further includes a second expansion valve, a first valve, a second valve, a second connection line, a third connection line, and a fourth connection line.

The invention discloses a sewage waste heat recovery heating control method and system based on a digital twinning heat pump. The method comprises the steps that a digital twinning platform of a sewage waste heat recovery heating system is constructed; based on the operation parameters of the entity equipment of the sewage waste heat recovery heating system, establishing a digital twinborn model of the sewage waste heat recovery heating system; deploying the established digital twinborn model of the sewage waste heat recovery heating system in the established digital twinborn platform of the sewage waste heat recovery heating system; based on the physical equipment operation parameters of the sewage waste heat recovery heating system and the virtual data of the digital twinborn model, an optimization target model of the sewage waste heat recovery heating system is constructed, and an optimal control strategy is obtained; dynamic optimization control is carried out on the heating system entity equipment according to the optimal control strategy; the prediction precision is improved through real-time data calibration, model prediction control is fused, second-level response and multivariable cooperative regulation and control are achieved, and the problems that a traditional sewage waste heat recovery heating system is low in energy efficiency, slow in response and high in maintenance cost are effectively solved.

A heat pump system of a vehicle is provided to adjust a temperature of a battery module by using a single chiller where a refrigerant and a coolant exchange heat, waste heat of the electrical component and the battery module are recollected, and a plurality of coolant flowing lines are formed by using a single valve according to a selected mode of the vehicle. The heat pump system includes: a valve; a first cooling apparatus; a second cooling apparatus; a third cooling apparatus; a first connection line; a second connection line; and a third connection line. The valve may be configured to operate such that one line among the first line, the second line, the third line, and the first connection line may be connected to another line or the same line, depending on a selected mode among the at least one mode.

The invention provides a method and equipment for predicting the heat exchange performance of a buried pipe ground source heat pump thermal camouflage system. The method comprises the steps that S1, a multi-physics field coupling heat exchange mathematical model of a buried pipe heat exchange system is established; s2, based on the multi-physics field coupling heat exchange mathematical model, a control equation and boundary conditions are constructed; s3, on the basis of the control equation and the boundary conditions, a multi-physics field numerical model is constructed, and simulation and calibration are carried out; and S4, based on the calibrated numerical model, designing a simulation test and carrying out main control factor analysis to obtain a prediction effect of the heat exchange performance. By establishing a rock-soil body-fluid multi-physical field coupling model, the interaction mechanism of underground heat conduction, working medium flow and ground surface heat radiation is completely represented, and the hiding efficiency of the thermal camouflage system is remarkably improved.

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.

A heat pump system for a vehicle may efficiently adjust the temperature of heating elements by using a chiller where a refrigerant and a coolant exchange heat. At the same time, the heat pump system may efficiently perform cooling and heating of a rear seat by using a rear heating, ventilation, and air conditioning (HVAC) module provided with a heat-exchanger.

The invention provides a heat storage heat pump system control method based on a physical information neural network, and belongs to the technical field of heat storage pump system intelligent control. Aiming at the problems that in the prior art, an algorithm is difficult to adapt to dynamic energy consumption requirements, engineering application of a model is difficult due to building space heterogeneity, high-order RC model prediction credibility is weak, engineering feasibility is poor and the like, a solution combining a physical information sequence to sequence neural network technology and a finite-state machine control strategy is provided. On the model level, a 2R2C resistance-capacitance RC model of building temperature change is established, and then a PI-Seq2seq prediction model is proposed based on the physical model. On the control flow optimization level, on the basis of an industrial and commercial time-of-use electricity price policy, an FSM control model is designed, a system state set is defined, parameters and a transfer function are input, and a control rule is constructed in combination with the working period of a building heat pump and the characteristics of a heat storage tank. And finally, energy consumption cost optimization and indoor temperature stabilization under the peak-valley electricity price are realized.

A heat pump system for a vehicle is configured by including a valve, a first cooling apparatus, a second cooling apparatus, and a flow control line, to be configured for adjusting a temperature of a battery module by use of a single chiller where a refrigerant and a coolant are heat-exchanged, selectively recollecting waste heat of the electrical component and the battery module and using the same for heating of the vehicle interior, and forming a plurality of coolant flowing lines by a single valve according to selected mode of the vehicle.

The invention discloses a heat pump environment temperature self-adaptive regulation and control system oriented to peak-valley electricity price difference, and relates to the technical field of environment temperature regulation and control, and the system comprises a disturbance recognition module, a sampling scheduling module, a temperature correction module, a multi-source checking module, a regulation and control inhibition module and a self-optimization feedback module. And the change rate feature, the frequency spectrum mutation feature and the temperature measurement probe self-heating feature of the continuous external environment temperature sequence are extracted, a sampling risk index is generated, and a rapid oscillation mark is formed. Through adaptive sampling, probe self-heating compensation, multi-source consistency checking and feedback optimization mechanisms, dynamic response of the heat pump system to environment changes is achieved, data accuracy and control decision reliability are improved, and stability, energy saving performance and comfort control capacity under complex working conditions are remarkably enhanced.

A heat pump system for a vehicle may include an ejector configured to increase the pressure of the introduced refrigerant and discharge the refrigerant with the increased pressure to increase the pressure and flow amount of the refrigerant, thereby being capable of decreasing the refrigerant load of the compressor by reducing the compression ratio of the compressor, and reducing the cooling load and improving the cooling performance.

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 discloses a dynamic identification system and method for fault nodes of a heat pump measurement and control network, and aims to solve the problems of one-sided weight distribution, lack of directional modeling and insufficient dynamic adaptability in the prior art. The system comprises an energy transfer topology network model building module which is used for respectively quantifying the physical connection strength and the directional energy transfer path of the heat pump system by building an undirected graph and directed graph bimodal model; the multi-dimensional weight distribution module adopts a subjective and objective fusion strategy and combines a complex network theory, an entropy weight method and an analytic hierarchy process to distribute comprehensive weights for nodes and explicit modeling directivity dependence; the dynamic robustness analysis module is used for simulating and positioning structural hub nodes through static attacks, simulating and tracking cascade failure and topology reconstruction processes through dynamic attacks, and comprehensively evaluating the robustness of the system; and the fault simulation verification module verifies weight rationality and method effectiveness from four dimensions of objectivity, center matching degree, interpretability and robustness based on a fuzzy comprehensive evaluation framework. According to the method, through fusion topology modeling, dynamic weight distribution and dynamic and static combination robustness analysis, key fault nodes are accurately recognized, the system vulnerability is revealed, a data driving basis is provided for redundancy design, intelligent operation and maintenance and reliability improvement of the heat pump system, and the operation and maintenance cost is remarkably reduced.

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 utility model relates to the technical field of heat pump rectification, and particularly discloses a heat pump rectification system which comprises a rectification tower; the tower top gas liquefaction system comprises a compressor connected with a gas phase at the top of the rectifying tower, and a reboiler, a throttling device, a condenser and a flow divider which are sequentially connected with the compressor; liquid phase connection at the bottom of the rectifying tower is communicated with the reboiler, the tower bottom reboiling system comprises an auxiliary reboiler and a flash evaporator which are sequentially communicated with the reboiler, and the flash evaporator is communicated to the rectifying tower; and the gas phase at the top of the rectifying tower is heated by the compressor and then enters the reboiler to exchange heat with the liquid phase at the bottom of the rectifying tower, so that the rectifying energy consumption can be reduced, and the energy-saving effect is achieved.

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 discloses an analogue simulation system for operation of a ground source heat pump and a gas boiler in a severe cold area. The analogue simulation system comprises a heat supply correction model building module, a ground source / gas heat supply estimation module, a heat supply dispatching distribution module and a correction model optimization module. According to historical operation data of a ground source heat pump subsystem, heat supply correction models associated with soil geology and environmental climate are constructed based on a single variable principle, a heat supply amount estimated value of the ground source heat pump subsystem is dynamically corrected, heat supply amount of a gas boiler subsystem and heat load required by a building group are estimated, heat supply output of the two subsystems is intelligently distributed, and heat supply efficiency is improved. And the heat supply amount correction model is optimized through the actual heat supply amount deviation. The method can effectively overcome the problem of ground source heat pump heat supply amount deviation caused by soil heat unbalance and climate fluctuation in a severe cold area, further improves the energy efficiency estimation precision of a heat supply system, facilitates optimization of a scheduling strategy, has dynamic compensation and model self-evolution capabilities, and can adapt to complex environmental changes.

The invention relates to the technical field of swimming pool heat pump control, and provides an electric heating coupling control method and system based on a swimming pool heat pump. The method comprises the following steps: collecting multi-source monitoring data of a swimming pool in real time; calculating a comprehensive temperature difference value and a heat loss rate based on the multi-source monitoring data; the comprehensive temperature difference value and the heat loss rate of the swimming pool are input into a coupling heating model based on a space-time attention mechanism, and dynamic heat pump power control parameters are generated; inputting multi-source monitoring data into the water quality and temperature linkage control model, and solving an optimal heat pump cycle adjustment strategy by adopting a Nash equilibrium algorithm with maximization of a water quality standard-reaching rate and minimization of temperature control energy consumption as a game target; according to the optimal heat pump cycle adjusting strategy and the heat pump power control parameters, electric heating control is conducted on the swimming pool heat pump, so that the temperature control efficiency of the swimming pool is improved, the operation safety of the swimming pool is guaranteed, and energy consumption minimization can be achieved on the premise that it is guaranteed that the water quality reaches the standard.

The invention discloses a deep learning-based middle-deep layer geothermal pipe group multi-field coupling simulation method, which comprises the following steps: carrying out numerical simulation cross mutual verification to obtain a middle-deep layer buried pipe heat pump system model, and carrying out system configuration by adopting a Monte Carlo method to obtain a first parameter environment set; screening the first parameter environment set according to a parameter environment function to obtain a second parameter environment set, performing data augmentation to obtain mid-deep layer geothermal pipe group simulation data, constructing a mid-deep layer geothermal pipe group multi-field coupling deep learning model, and obtaining simulation heat exchange data and prediction coupling heat exchange data; and adaptive grid optimization is carried out to obtain an optimized grid size, and the optimized grid size is adopted to adjust the mid-deep layer buried pipe heat pump system model to output the mid-deep layer buried pipe multi-field coupling model. According to the method, accurate and rapid simulation of the multi-field coupling process of the medium-deep geothermal pipe group can be realized under complex geological conditions, and the method has important practical significance for promoting large-scale development and utilization of medium-deep geothermal resources.

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 utility model is suitable for the technical field of household appliances, and provides a drying module and clothes processing equipment, the drying module comprises a moisture absorption and discharge system and a heat pump system, the moisture absorption and discharge system comprises a moisture absorption and discharge part and a moisture absorption and discharge shell, one axial end face of the moisture absorption and discharge shell is provided with a first opening, and the other axial end face of the moisture absorption and discharge shell is provided with a second opening; a first opening is formed in one axial end face of the moisture absorbing and discharging shell, a second opening is formed in the other axial end face of the moisture absorbing and discharging shell, the first opening and the second opening are communicated through the moisture absorbing and discharging part in the axial direction of the moisture absorbing and discharging part, and a first heat exchanger of the heat pump system is arranged on the upstream of the first opening in the wind direction. The second heat exchanger is arranged on the downstream of the second opening and used for exchanging heat with air which passes through the moisture absorption and exhaust part and is used for drying clothes, the air can vertically penetrate through the moisture absorption and exhaust part, the moisture absorption and exhaust part has a larger air passing area and is used for absorbing moisture, the loss of the air speed is reduced, and the dehumidification efficiency and the drying efficiency are improved.

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.

An embodiment heat pump system of a vehicle includes a first cooling device including an electrical component and a first line for circulating a coolant, a second cooling device including a battery module and a second line for circulating the coolant, a HVAC module connected through a refrigerant line and internally provided with an opening / closing door that adjusts a selective flow of ambient air according to a cooling, heating, or heating and dehumidifying mode of a vehicle interior, a heat-exchanger connected to the internal condenser through the refrigerant line, a first expansion valve on the refrigerant line and connecting the heat-exchanger and the evaporator, a compressor connected between the evaporator and the internal condenser through the refrigerant line, an accumulator on the refrigerant line between the evaporator and the compressor, a chiller, a second expansion valve, a third expansion valve, and a second connection line.

The invention discloses a rock-soil temperature field rapid solving method suitable for a ground source heat pump system, and the method comprises the steps: firstly building a three-dimensional unsteady-state heat transfer model in consideration of a buried pipe coaxial structure, a porous arrangement form and the characteristics of a multilayer heterogeneous soil body in the ground source heat pump system; then simulating a thermal response process by using the model, constructing a multi-domain coupled thermal conduction augmentation matrix, performing POD on the matrix, extracting a dominant mode function of a temperature field, and constructing a low-dimensional POD-based mode space; and finally, constructing a POD-Galerkin low-order model, simulating a buried pipe group soil temperature field, performing inversion of a heat source function, and outputting stratum thermophysical parameters. According to the method, the calculation efficiency and the simulation precision of the porous coupling and long-period unsteady state heat transfer process are remarkably improved, the problem that traditional finite element and finite difference methods are high in time consumption in porous strong coupling modeling is solved, and rapid prediction of the soil temperature and robust recognition of the heat source function under a complex stratum and a heat exchange structure can be achieved.

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.

A vacuum dryer not requiring a vacuum pump according to an embodiment of the present invention comprises: a drying chamber in which a drying rack is installed, and an exhaust valve communicating with the interior is provided on the outside of the other side; a steam generator located outside the drying chamber, having a water tank, and connected to a steam inlet; and a heat pump interlocked with the inside and outside of the drying chamber and configured by including a condenser provided in a high-temperature area, a first heat exchanger connected to the condenser outside the drying chamber, an evaporator provided in a low-temperature area, a second heat exchanger connected to the evaporator outside the drying chamber, a compressor connecting the first heat exchanger and the second heat exchanger, and an expansion valve connecting the condenser and the evaporator.

The invention discloses a refrigeration host parallel system prediction and energy efficiency control method and system, relates to the technical field of refrigeration system energy efficiency optimization control, and is used for solving the problem that energy efficiency optimization and load dynamic response are difficult to cooperate when a plurality of refrigeration hosts are in parallel operation under variable working conditions. According to the method, a working condition-load-energy efficiency mapping relation is established by constructing a refrigeration host three-dimensional energy efficiency mapping table, day-ahead and intra-day load prediction is executed in parallel based on historical data and environmental parameters, and a comprehensive load value is obtained through prediction error inverse proportion dynamic weighted fusion. And enumerating an optimal host operation combination and issuing a control instruction by taking the maximization of the comprehensive revenue function as a target, and updating prediction model parameters on line by utilizing a residual error of an actual load and a prediction value. The method is mainly used for energy efficiency optimization and self-adaptive control of a central air conditioning system, a ground source heat pump system or an industrial refrigerating unit group, the overall energy efficiency of the system can be effectively improved, and frequent start and stop are reduced.