185 results about "Geothermal heat pump" patented technology

The invention discloses a heating control system based on solar energy-heat pump-building collaborative optimization and a construction method, and belongs to the technical field of renewable energy source heating. Comprising a parameter acquisition module, a dynamic prediction module and an optimization control module. The method comprises the following steps: constructing a building heat transfer dynamic prediction model, a solar energy performance prediction physical model, constructing a ground source heat pump performance prediction model and a solar energy-ground source heat pump system collaborative optimization control model, and predicting and optimizing system operation parameters in the next day. Through cooperative work of the parameter acquisition module, the dynamic prediction module and the optimization control module, intelligentization and high efficiency of building heating are achieved, solar energy and the heat pump efficiency can be utilized to the maximum extent, the ground source heat pump efficiency is improved, and energy consumption is reduced while the indoor comfort degree is guaranteed. In addition, a time-of-use electricity price mechanism is utilized to further optimize system operation parameters, the system operation cost is reduced, and the energy efficiency and the response capability of the system are improved.

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.

The invention discloses a near-zero energy consumption building energy supply method and system based on multi-objective optimization, and relates to the technical field of building energy efficiency and renewable energy application, and the method comprises the steps: collecting energy consumption data in a building, and constructing a multi-objective evaluation system according to the energy consumption data; performing weight optimization on the multi-target evaluation system to obtain an optimal weight coefficient; combining the optimal weight coefficient with a solar photovoltaic system and a ground source heat pump system, and establishing a renewable energy supply strategy model; and outputting an energy supply scheduling instruction of the building in each time period based on the renewable energy energy supply strategy model, and adjusting operation parameters of a solar photovoltaic system and a ground source heat pump system. According to the invention, by adjusting the operation mode of the equipment in real time, the balance between the energy efficiency and the comfort level is ensured, the common problem of energy efficiency waste or insufficient comfort level in the traditional method is avoided, and by means of intelligent scheduling and optimization, the energy consumption of the building can be effectively reduced, and the sustainability of energy utilization of the building is improved.

The invention discloses a ground source heat pump system optimization scheduling method based on a probability graph digital twinborn model, and belongs to the field of ground source heat pump system operation optimization, and the method comprises the following steps: S1, constructing a digital twinborn model based on a dynamic probability graph decision network in a modeling stage; s2, calibrating the digital twin model in a calibration stage; and S3, the digital twinborn model is updated in the operation stage, and the optimal operation method of the ground source heat pump system is output in real time through the updated digital twinborn model. A physical entity-twin system is abstracted into a group of coupled dynamic systems, and the systems evolve along with time in a physical state space and a digital state space and interact with each other through observation data and control input; the problems that multi-physical-field coupling modeling and dynamic optimization control of the ground source heat pump system are complex in calculation and high in calculation resource requirement are solved, and real-time and automatic optimization control of the ground source heat pump system under the complex and changeable underground environment and load requirement is achieved.

The invention discloses an energy-saving ground source heat pump control method and system, and the method comprises the steps: building a ground source heat pump system dynamic model which comprises an indoor heat balance model, a ground source heat pump unit model and a soil heat exchange model, obtaining a topological network through coupling, designing a distributed control and fault-tolerant operation strategy according to the topological network structure, and carrying out the control of the ground source heat pump system. Each node is locally controlled according to the position and adjacent node information, a state space model is constructed, an optimal control action sequence is solved through quadratic programming to balance energy consumption and an indoor and outdoor temperature deviation objective function, the optimal operation state is obtained, and the mapping relation between the optimal operation state and environment parameters is learned through a neural network; a ground source circulation flow control algorithm is designed, and circulation pump flow distribution and unit working parameter automatic adjustment are achieved. According to the method, the control precision and stability of the ground source heat pump system can be effectively improved, reliable operation of the ground source heat pump system under complex working conditions is ensured, the energy utilization efficiency is remarkably improved, energy conservation and consumption reduction are achieved, and meanwhile good interpretability is achieved.

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 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 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 energy management and intelligent control, and provides a ground source heat pump system end load prediction and adaptive correction method and system.The method comprises the steps that a day-ahead load prediction model is built, and a day-ahead load prediction value is obtained through calculation; constructing a day-ahead load prediction deviation correction model to obtain a day-ahead load prediction deviation correction value; obtaining a day-ahead load prediction value vector based on the day-ahead load prediction deviation correction value; constructing an intra-day load prediction model, and calculating to obtain an intra-day load prediction value; and respectively calculating the credibility of the intra-day load predicted value, the predicted value at the corresponding moment in the day-ahead load predicted value vector and the historical actually measured load data, and calculating to obtain a predicted load issuing value based on the intra-day load predicted value, the predicted value at the corresponding moment in the day-ahead load predicted value vector and the credibility. According to the invention, by constructing the double-layer load prediction model and combining the meteorological parameter correction model, the adaptability of the system to the dynamic change of the environment is improved, and the load prediction precision is improved.

The invention relates to the technical field of heat exchangers, and particularly discloses an efficient heat transfer device of a heat exchanger for a geothermal source heat pump, which comprises a heat exchanger shell, a water tank and a buried pipe, end covers are installed at the two ends of the heat exchanger shell, and heat exchange pipes are arranged in the heat exchanger shell. A cold source water inlet pipe and a cold source water outlet pipe are arranged on the outer wall of the heat exchanger shell; the water tank is arranged outside the heat exchanger shell; the buried pipe is buried in soil; a heat source water inlet pipe communicated with the buried pipe is arranged on the end cover at one end of the heat exchanger shell, and a heat source water outlet pipe communicated with the water tank is arranged on the outer wall of the end cover at the other end; a water conveying mechanism is further arranged outside the heat exchanger shell. A descaling mechanism is arranged in the heat exchanger shell; in the long-time working process of the heat exchange pipe, the outer wall of the heat exchange pipe is cleaned through the descaling mechanism, water scales on the outer wall of the heat exchange pipe are scraped off, and the heat exchange efficiency is improved.

The invention discloses an energy shaft heat exchange efficiency optimization method based on stratum thermophysical property intelligent analysis, and the method comprises the steps: constructing a structured thermophysical property parameter database through integrating laboratory testing, on-site exploration and literature data, and covering key parameters such as a heat conductivity coefficient, specific heat capacity, a thermal diffusion coefficient and the like; a heat transfer model is verified and expanded by combining a reduced scale physical experiment and multi-parameter coupling numerical simulation; machine learning algorithms such as a random forest and a neural network are utilized to establish a nonlinear prediction model of the thermophysical parameters and the heat exchange efficiency of the energy shaft, the contribution degree of the parameters is quantified, and an adaptability threshold value is defined. Through similarity matching of drilling exploration data and a database, the optimal stratum depth is recommended, and finally a cloud intelligent platform is integrated, so that real-time data updating, online calculation and construction suggestions are realized. According to the method, the precision of stratum suitability evaluation in energy shaft ground source heat pump system development is remarkably improved, and the geothermal energy development efficiency is remarkably improved.

The invention relates to a solar cross-seasonal heat storage and release ground source heat pump system and a balance control method and device, and relates to the technical field of ground source heat pump systems. The ground source heat pump subsystem comprises a ground heat exchanger group which is arranged in a partitioned manner; and the cross-seasonal heat storage device is used for storing and releasing solar heat and is thermally coupled with the buried pipe heat exchanger group, the cross-seasonal heat storage device is of an underground concrete structure, and three temperature gradient areas of a high-temperature layer, a medium-temperature layer and a low-temperature layer are arranged in the cross-seasonal heat storage device. Through the synergistic effect of the dynamic load distribution mechanism and the layered heat storage strategy, the problem of soil cold and heat accumulation caused by long-term operation of the ground source heat pump system can be effectively relieved. Differential design of the core heat exchange area and the buffer temperature adjustment area is combined with a multi-objective optimization algorithm, so that the difference value of annual accumulated heat taking capacity and heat supplementing capacity is controlled within 5%, and the self-recovery capacity of the soil thermal field is remarkably improved.

According to the charging station heat exchange method based on the ground source system, a ground source heat pump system is adopted as heat exchange equipment, and the heat exchange efficiency of a charging station is effectively improved through underground low-temperature heat energy; real-time regulation and control of the battery temperature of the new energy automobile are achieved by regulating and controlling the operation parameters of the ground source heat pump unit in real time, and safe operation of the battery is guaranteed; the heat generated by the charging pile and the new energy automobile is recovered and recycled, the energy consumption of the charging station is reduced, and the problems that the heat dissipation effect of an existing charging station heat dissipation mode is greatly influenced by the environment temperature, and the heat dissipation effect is poor in high-temperature weather are solved; an air cooling system is loud in noise and affects the surrounding environment; a water cooling system needs to replace cooling liquid at regular intervals, and the maintenance cost is high.

The invention discloses a method for constructing a heat transfer model of a buried pipe heat exchanger and determining the hole depth of the buried pipe heat exchanger, and aims to solve the technical problem that the drilling depth of the current buried pipe heat exchanger is unreasonable. According to the technical scheme, based on the heat transfer model of the ground heat exchanger, the interval approximation method is adopted, the better burial depth range is gradually refined, so that the optimal arrangement hole depth within the specific depth range is found, the method is simple and scientific, the accuracy of predicting the performance of the ground heat exchanger can be improved, and then the efficiency and reliability of a ground source heat pump system are improved.

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 relates to the technical field of ground source heat pump control, in particular to an intelligent cooperative control system for a ground source heat pump system and building energy management. The method comprises the steps that a data collecting and preprocessing unit collects multiple types of data in real time and preprocesses the data to form system state vectors; the load and power generation prediction unit predicts future cooling and heating load and photovoltaic power generation power of the building through a machine learning regression model and a time sequence prediction model; the operation optimization unit generates an optimal operation strategy of the ground source heat pump based on a depth deterministic strategy gradient algorithm; and the multi-source energy coordinated control unit realizes multi-device coordinated control through multi-target mixed integer linear programming. Through combination of prediction data and an optimization algorithm, a dynamic matching relation between load fluctuation and energy supply is fully considered, and the problems of soil heat imbalance and unstable comprehensive energy efficiency ratio of the ground source heat pump system in a traditional fixed parameter operation mode are solved.

The invention discloses an evaluation method of a solar coupling medium-deep ground source heat pump hot water supply system, which relates to the technical field of heat supply systems and comprises the following steps: acquiring various performance indexes based on historical environment parameters, historical system operation parameters and historical energy consumption parameters; the comprehensive energy efficiency ratio, the heat utilization efficiency and the comprehensive performance score of the system are obtained through the multiple performance parameters; and taking the historical environment parameters, the historical system operation parameters and the historical energy consumption parameters as inputs, taking the corresponding system comprehensive energy efficiency ratio, the heat utilization efficiency and the system comprehensive performance score as outputs, and training the neural network model to obtain an evaluation model. According to the method, comprehensive performance evaluation under cooperative work is emphasized, the concept of the comprehensive energy efficiency ratio of the system is put forward, the relation between effective heat output of the system and various input energy consumption of solar energy, the ground source heat pump, auxiliary energy and the like is comprehensively considered, the system performance is comprehensively evaluated, and compared with a single ground source heat pump system, the performance evaluation index is more comprehensive.

The invention provides a solar energy-ground source heat pump coupled intelligent phase change energy storage heat supply method and system which comprises a solar heat collection unit, a ground source heat pump unit, a phase change energy storage unit, a user side heat exchange unit and an AI intelligent control unit. Wherein the solar heat collection unit and the ground source heat pump unit are connected into the input end of the phase change energy storage unit in parallel through a closed-loop pipeline, and the output end of the solar heat collection unit and the output end of the phase change energy storage unit are both connected with the user side heat exchange unit. The AI intelligent control unit is electrically connected with the solar heat collection unit, the ground source heat pump unit, the phase change energy storage unit and the user side heat exchange unit. According to the system, on the premise that the heat supply quality is guaranteed, solar energy which is clean energy is utilized to the maximum extent, dependence on the ground source heat pump and traditional electric power is reduced, operation cost and carbon emission are reduced, and remarkable energy-saving benefits, economical efficiency and environment-friendly value are achieved.

The invention relates to the technical field of ground source heat pumps, and discloses a safety monitoring method and device of a ground source heat pump system, multi-dimensional real-time data such as the rotating speed of a circulating pump, the pipeline pressure and the environment temperature are collected through a multi-point sensor, and dynamic monitoring of the running state is achieved through noise filtering and time sequence analysis. When abnormity is detected, a comprehensive operation matrix is constructed in combination with historical operation records, and stress distribution of the underground pipeline is reversely calculated through the structured grid division technology. Based on a stress distribution sequence, a future stress evolution trend is analyzed and predicted by adopting linear regression, and a potential safety risk level is determined. And finally, dynamically adjusting the data acquisition frequency according to the risk level, and generating a self-adaptive safety monitoring strategy. Intelligent safety monitoring of the ground source heat pump system is achieved, potential risks can be found in time, prevention measures can be taken, and the operation safety and reliability of the system are effectively improved.

The invention belongs to the technical field of heat pump units, and particularly relates to a high-efficiency middle-deep layer geothermal heat pump unit which comprises a unit body and a heat exchange pipe fixedly communicated to the unit body, and a water temperature sensor is further arranged at the position, corresponding to a water return opening, of the heat exchange pipe. The system further comprises a water softening mechanism, a bactericide supplementing mechanism, a water pressure real-time monitoring feedback mechanism, a water pressure descending speed monitoring feedback mechanism, an alarm grade dividing mechanism, an automatic water supplementing and pressure stabilizing mechanism and a working frequency self-regulating mechanism. Heat exchange water can be automatically softened, the content of ions such as calcium and magnesium is reduced, scaling is prevented, the heat exchange efficiency is maintained, the service life of equipment is prolonged, and cost is reduced; the regeneration frequency of the water softening mechanism and the bactericide adding frequency can be automatically regulated and controlled according to the water temperature, and the softening and sterilizing effects are guaranteed; and leakage of the heat exchange tube can be effectively monitored, graded warning is performed according to the size of leakage points, workers can respond and process in time conveniently, and the fault risk is reduced.

The invention discloses an optimization method of a ground source heat pump, electronic equipment and a program product, and the method comprises the steps: collecting the operation data and environment data of a ground source heat pump system in real time through an edge computing gateway deployed on site; constructing a multi-objective optimization model of the ground source heat pump system on the cloud server; solving the optimization model by adopting a self-adaptive multi-target genetic algorithm, and outputting a Pareto optimal solution set; selecting a final execution scheme from the Pareto optimal solution set according to a preset decision preference weight, generating a control instruction, and issuing the control instruction to the field executor through the edge computing gateway; the soil temperature field evolution is predicted through the buried pipe heat transfer model, and a prediction result is fed back to the optimization model and used for correcting the soil heat balance objective function, and long-term dynamic optimization is achieved. According to the method, collaborative optimization of economy, environmental protection and sustainability can be realized by constructing the multi-objective optimization model fusing the operation cost, the soil heat balance and the carbon emission.

The utility model provides cooling and heating equipment of a composite energy underground structure, and relates to the field of geothermal heat pumps. The cooling and heating equipment of the composite energy underground structure comprises a building body and an underground water tank, an underground heat exchange chamber is formed in the bottom end of the building body, a heat exchange mechanism is arranged in the underground water tank and comprises a heat conduction plate and a heat conduction column, and a water circulation mechanism is arranged at the bottom of the building body. According to the cooling and heating equipment of the composite energy underground structure, the temperature of facilities in the underground water tank is exchanged with the temperature of underground soil through the underground water tank, and the underground water tank and the building body are subjected to heat exchange operation through the underground heat exchange chamber, so that the heating and cooling efficiency of the building is improved; the temperature of liquid in the underground water tank can be better exchanged with the temperature of underground soil, cold or heat is supplied to a building by adjusting an air conditioner and an adjusting coil pipe, and the temperature suitable for living is provided for the building.

The invention discloses a solar energy and ground source heat pump coupling heat supply method and system based on machine learning, and relates to the technical field of heat supply energy management, and the method comprises the steps: taking the minimum system energy consumption as the target, and using a double-delay depth deterministic strategy gradient neural network model to optimize the output distribution of the solar energy and the ground source heat pump. The model adapts to dynamic working conditions, solar energy is utilized preferentially, and the high-energy-consumption operation time of the ground source heat pump is shortened. Multi-dimensional data are collected through the Internet of Things and an environment monitoring system to construct a state space, a heat supply temperature deviation and equipment operation efficiency reward function is introduced, it is guaranteed that the heat supply temperature is stable, efficient operation of the ground source heat pump is guaranteed, and complex working conditions are dealt with. And full-process automation is realized by relying on a machine learning model, a load distribution sequence is generated through an optimal heat supply load distribution model, and dynamic adjustment is automatically completed by combining a PI controller to output total demand power.

The invention provides a control method and device for a solar ground source heat pump system. The control method and device can be applied to the technical field of building energy conservation and intelligent control. The method comprises the steps that nonlinear conversion is conducted on state information of the solar ground source heat pump system, and multiple pieces of control action information are obtained; executing equipment in the solar ground source heat pump system is controlled based on the target action information, and the running state of the solar ground source heat pump system is updated or kept; wherein the control agent is obtained by training in the following mode: an initial agent executes a current action in a virtual environment, and obtains reward information and post state information of the current action based on a reward function; and updating the intermediate agent based on interaction information obtained by interaction between the intermediate agent and the real environment to obtain a control agent meeting a preset condition.

The invention discloses a control method and device of a ground source heat pump system, the ground source heat pump system, a storage medium and a computer program product, the ground source heat pump system comprises a water tank, a floor heating device, an indoor heat exchanger and a ground source heat pump unit, and the method comprises the steps that the energy supply priority of the ground source heat pump unit is determined according to the outdoor environment temperature, the ground source heat pump unit is controlled to supply energy to the water tank, the indoor heat exchanger and the floor heating device according to the energy supply priority; in the process, the heat supply distribution proportion of the ground source heat pump unit is determined according to the temperature of the water tank, and the ground source heat pump unit is controlled to supply heat to the water tank and the floor heating device according to the heat supply distribution proportion. According to the scheme, by dynamically adjusting the energy supply priority and the heat supply distribution proportion of the ground source heat pump unit, the problems of fixed control priority and control lag are solved, and the system energy efficiency is improved.

The invention relates to the technical field of heat pump unit control, and particularly discloses a ground source heat pump unit performance test system which comprises a four-dimensional temperature sensing network, a dual-channel flow detection unit, a data acquisition module, a trend prediction module and a compressor frequency regulation and control module. Comprehensive application of the control system for the performance of the ground source heat pump unit has important significance in improving energy efficiency, reducing energy consumption and guaranteeing system stability. And through accurate monitoring, intelligent regulation and control and future trend prediction, the ground source heat pump system can be more efficient. And the operation state of the system can be monitored and adjusted in real time by monitoring the frequency of the compressor. By monitoring the frequency of the compressor, the system can know the operation condition of the compressor in time, and therefore adjustment can be conducted according to the actual condition, and the system is kept in the optimal working state. The real-time monitoring and adjustment can effectively improve the operation efficiency of the system, reduce the energy consumption and prolong the service life of the equipment.

The invention discloses a ground source heat pump buried pipe backfilling compactness real-time monitoring method, and relates to the technical field of ground source heat pump system construction quality control. The method comprises the following steps: acquiring grouting port pressure time sequence data Pin (t), measuring point pore pressure time sequence data Pi (t), slurry density rho and grouting port space coordinates in real time, extracting pressure wave propagation time to calculate the wave velocity, constructing a physical model for describing the corresponding relation between the wave velocity vp and the compactness D, inverting the measuring point compactness, and calculating the density of the grouting port. And a three-dimensional compactness distribution field is generated through spatial interpolation to identify a defect area, and after defect coordinates are converted into global coordinates, the grout supplementing amount and the grouting pressure are calculated, so that directional grout supplementing is achieved. The method is mainly used for real-time monitoring of compactness, accurate defect recognition and targeted reinforcement in ground source heat pump buried pipe backfilling construction, and construction quality is guaranteed.

The invention relates to the technical field of geothermal energy utilization, and discloses a geological stratification-based deep and shallow coupling ground source heat pump system optimization design method, which comprises the following steps of S1, acquiring geological stratification information of a target site, and thermophysical parameters, hydraulic parameters and mechanical parameters of each stratification; s2, aiming at a deep heat exchanger element and a shallow heat exchanger element; s3, an operation weight vector is introduced and used for defining the dynamic distribution proportion of building loads borne by the deep heat exchange system and the shallow heat exchange system in the whole life cycle; s4, establishing an optimization model taking the minimization of the total cost of the whole life cycle as a target function; s5, solving the optimization model by adopting an optimization strategy to obtain an optimal solution; and S6, outputting an integrated optimization design scheme according to the optimal solution. The physical layout design and the dynamic operation strategy are subjected to integrated collaborative optimization, the stratum heat-water-force coupling effect is comprehensively considered, and the cost of the whole life cycle is minimized.

The invention discloses a ground source heat pump electric heating power calculation method considering heat exchange characteristics of a buried pipe network, which comprises the following steps of: 1, establishing a model of a single U-shaped vertical buried pipe, and obtaining a linear relation among the fluid temperature at an outlet of the single U-shaped vertical buried pipe, the fluid temperature at an inlet of the single U-shaped vertical buried pipe and the temperature of a drill hole wall; 2, on the basis of the step 1, the linear relation between the temperature of fluid at the terminal outlets of the multiple U-shaped vertical buried pipe systems and the temperature of fluid at the head end inlets and the temperature of the drill hole walls is obtained through popularization; 3, calculating the sum of heat transmitted among the ground source heat pump, the wall of the drill hole and the soil according to the fluid temperature difference between the outlet and the inlet of each U-shaped vertical buried pipe; and 4, accurately modeling the ground source heat pump system, and obtaining the relationship between the heating capacity, the refrigerating capacity and the temperature and power of the fluid at the outlet of the terminal in the heating and refrigerating modes of the ground source heat pump system. According to the method, the efficient and accurate heat transfer model can be constructed, so that accurate control and optimal scheduling of the ground source heat pump system are realized.

The invention relates to the technical field of ground source heat pump system operation control, and provides a ground source heat pump system operation simulation prediction and actual measurement data feedback fusion control method, which comprises the following steps: S1, constructing a ground source heat pump system model, and inputting model parameters and initial boundary conditions; s2, selecting boundary conditions for long-period operation scheduling in the initial boundary conditions, and calculating to obtain a current long-period operation scheduling scheme; s3, selecting boundary conditions for short-period control in the initial boundary conditions, and calculating and issuing a short-period control strategy scheme; and S4, after the control of one short period is finished, acquiring field measured data, and circularly executing the steps S2-S4 until the operation of the current long period is finished. The operation energy efficiency of the combined type ground source heat pump system can be improved, the load prediction and scheduling strategy of the system is optimized, seamless connection between a long period and a short period is achieved, the intelligence and automation level of the system is improved, and the stability and safety of the ground source heat pump system are guaranteed.