CN-122015370-A - Dynamic load ground source heat pump optimization regulation and control method and system

CN122015370ACN 122015370 ACN122015370 ACN 122015370ACN-122015370-A

Abstract

The invention belongs to the technical field of energy system control, and discloses a dynamic load ground source heat pump optimization regulation and control method and a dynamic load ground source heat pump optimization regulation and control system, wherein the system comprises a data sensing and acquisition module which is responsible for acquiring the running state of the system and external environment information in real time; the system comprises a state evaluation and decision-making module for processing and evaluating collected data and making an operation mode decision, an execution and repair strategy module for receiving decision instructions and controlling specific equipment to execute heat balance repair actions, an auxiliary energy and heat exchange module for providing energy supplementing and conversion capability for the system, and an intelligent control center module for integrating and coordinating the work of the modules by adopting a hybrid intelligent algorithm architecture. By adopting the method and the system for optimizing and regulating the ground source heat pump of the dynamic load, the invention realizes the active maintenance and energy optimizing management of the heat balance of the soil of the ground source heat pump system in a cross-season manner, ensures the sustainability of the heat exchange capacity of the soil, and ensures the long-term stable and efficient operation of the ground source heat pump system.

Inventors

GE JINPENG
JIANG GUANGZHENG
Zou Luyu
YU RUYANG
CHEN JUZHOU
YANG HAIJUN
YIN YEXIN
Zheng Xinnan
YANG LONG

Assignees

成都理工大学

Dates

Publication Date: 20260512
Application Date: 20260416

Claims (10)

1. The ground source heat pump optimizing and regulating system for dynamic load is characterized by comprising a data sensing and collecting module, a state evaluating and deciding module, an executing and repairing strategy module, an auxiliary energy source and heat exchanging module and an intelligent control center module; The data sensing and collecting module is responsible for collecting the running state of the system and the external environment information in real time; the state evaluation and decision module is used for processing, evaluating and making operation mode decisions on the collected data; The execution and repair strategy module receives the decision instruction and controls the specific equipment to execute the heat balance repair action; The auxiliary energy and heat exchange module provides energy supplementing and converting capabilities for the system; and the intelligent control center module adopts a hybrid intelligent algorithm architecture, integrates and coordinates the work of each module.
2. The ground source heat pump optimizing and regulating system for dynamic load according to claim 1, wherein the data sensing and collecting module comprises a soil temperature field monitoring unit, a system operation parameter monitoring unit, a calendar information interface unit and an environment parameter collecting unit; (1) The soil temperature field monitoring unit consists of distributed temperature sensor arrays which are arranged at different depths and horizontal positions of the buried pipe field and is used for acquiring three-dimensional temperature distribution data of soil in real time; (2) The system operation parameter monitoring unit is used for integrating sensors and monitoring the operation parameters of inlet and outlet water temperature, flow and system pressure of the buried pipe circulating medium; (3) The calendar information interface unit is connected with the building energy management system or the calendar database through a standard data interface, automatically acquires structured building use calendar information, and identifies a use period and a vacant period; (4) The environment parameter acquisition unit comprises an outdoor temperature and humidity sensor and a solar radiation sensor and is used for acquiring meteorological data and providing environment basis for the optimization of a repair strategy.
3. The ground source heat pump optimization regulating system of dynamic load according to claim 1, wherein the state evaluation and decision module comprises a thermal imbalance ETD calculation engine and an intelligent mode decision device; (1) The heat unbalance degree calculation engine is internally provided with an integral heat balance algorithm, and calculates the accumulated net heat exchange amount of soil from the last balance point in real time as follows: ; Wherein, the Is a thermal imbalance value; specific heat capacity of the circulating medium; Is the density of the circulating medium; is the circulation flow; And Real-time monitoring temp. of inlet and outlet of buried pipe respectively , And is an integration interval; (2) The intelligent mode decision device is used for automatically judging and switching the system operation mode based on the rule engine by taking a calendar event as a first trigger condition and combining with the real-time building load rate, and specifically comprises an energy supply mode and a repair mode.
4. The system of claim 3, wherein the execution and repair strategy module comprises a strategy executor and a pulse operation controller; (1) And the strategy executor is used for calling a preset repairing strategy program according to the thermal unbalance evaluation result, and specifically comprises the following steps: an active heat storage strategy program is that when ETD < -Eth1 > is adopted, the solar energy double-effect component is controlled to be switched to a heat collection mode, and the heated working medium flows into the buried pipe through the adjusting valve, wherein-Eth 1 is a cold deficiency threshold value; an active heat dissipation strategy program, wherein when ETD > +Eth2, the active heat dissipation strategy program controls the solar module to switch to a radiation heat dissipation mode or start a cooling tower, wherein +Eth2 is a heat accumulation threshold; (2) And the pulse operation controller is used for controlling the circulating pump and the valve equipment to work according to the pulse period of operation-stop in the repairing mode so as to optimize the heat transfer efficiency and the energy consumption.
5. The ground source heat pump optimizing and controlling system for dynamic load according to claim 1, wherein the auxiliary energy and heat exchanging module comprises a basic buried pipe heat exchanging loop and a multi-mode auxiliary energy unit; (1) The foundation buried pipe heat exchange loop consists of an underground buried pipe heat exchanger, a user side circulating system and a heat pump host machine, and realizes heat exchange with soil; (2) The multi-mode auxiliary energy unit comprises a solar energy double-effect assembly and an auxiliary heat dissipation device; the solar energy double-effect component is used for intelligently switching between a heat collection mode and a radiation heat dissipation mode; and the auxiliary heat dissipation device strengthens the heat dissipation effect through evaporative cooling.
6. The dynamic load ground source heat pump optimization regulating system according to claim 1, wherein the intelligent control center module comprises a hybrid core algorithm, a system coordination and communication hub and a man-machine interaction and report generation unit; (1) The hybrid core algorithm is used for fusing a rule engine, a prediction model, an optimizer and a self-adaptive learning module; (2) The system coordination and communication hub is responsible for data transfer and instruction distribution among the modules; (3) And the man-machine interaction and report generation unit is used for providing a system state monitoring interface and automatically generating a repair report containing accumulated heat exchange amount and energy consumption analysis content after repair is completed.
7. The optimization control method of a dynamic load ground source heat pump optimization control system according to any one of claims 1 to 6, comprising the steps of: Step S1, data acquisition and state evaluation are carried out through a multi-source data fusion technology, so that comprehensive perception of the system state is realized; Step S2, based on a switching decision of a multi-condition triggering operation mode, intelligent mode switching is realized, and the system is ensured to always operate in an optimal state; step S3, corresponding repairing strategies are formulated and executed aiming at different heat unbalance states; s4, realizing the integrity of the repair process and smooth system transition; S5, adopting a hybrid intelligent algorithm based on combination of rules and model predictive control to realize intelligent control; and S6, realizing system optimization based on a cross-season energy balance equation.
8. The optimization control method of a dynamic load ground source heat pump optimization control system according to claim 7, wherein in step S2, the switching logic based on the multi-condition triggering operation mode specifically includes: Step S21, a service period energy supply mode, namely when the following conditions are simultaneously met, the system is switched to the service period energy supply mode: A. Calendar dates are within the lifetime of the building; B. The real-time load rate of the building is more than or equal to 60%, wherein the load rate=real-time load/design load; In a service life energy supply mode, taking indoor environment requirements as a first priority, and taking auxiliary energy equipment as a peak regulation means to be put into operation only when a load is in a peak; step S22, an idle period repair mode, wherein when the following conditions are continuously and simultaneously met for more than 24 hours, the system is switched to the idle period repair mode: a. Calendar dates enter a building empty period; b. building load rate is continuously less than 20%; in the empty repair mode, the system operation priority is changed into soil heat balance repair, and the building load requirement is met by other standby systems.
9. The optimization and control method of a dynamic load ground source heat pump optimization and control system according to claim 7, wherein in step S3, a pulse operation strategy is adopted, operation parameters are symmetrical to a heat storage cycle, and a single pulse heat exchange amount calculation formula is: ; Wherein, the Heat exchange amount is carried out for single pulse; specific heat capacity of the circulating medium; Is the density of the circulating medium; is the circulation flow; And Respectively monitoring the temperature of an inlet and an outlet of the buried pipe in real time; For the duration of the pulse run.
10. The optimization control method of a dynamic load ground source heat pump optimization control system according to claim 7, wherein in step S6, a cross-season energy saving balance equation is as follows: ; Wherein, the The change value of the heat storage capacity of the soil; To at the initial time Heat storage in soil; To at the end time Heat storage in soil; And Building load and active repair power respectively; And The heat exchange efficiency of building load and active restoration is respectively.

Description

Dynamic load ground source heat pump optimization regulation and control method and system Technical Field The invention relates to the technical field of energy system control, in particular to a ground source heat pump optimization regulation and control method and system for dynamic load. Background The Ground Source Heat Pump (GSHP) system uses underground rock-soil mass as a huge energy storage body, and performs heat exchange through a buried pipe heat exchanger (BHE). The thermodynamic basis for its efficient operation is the annual periodic equilibration of the soil temperature field. However, in practical engineering applications, especially for buildings with significant periodic usage characteristics for university campuses, stadiums, vacation hotels, etc., the cold-heat load often presents serious asymmetry. From the perspective of soil heat transfer, the rock-soil mass has smaller heat conductivity coefficient and slow heat diffusion speed. If the heat extraction amount in summer is continuously larger than the heat extraction amount in winter, excessive heat cannot be timely diffused to far-field soil, a heat accumulation area is formed around the buried pipe, the average temperature of the soil drifts year by year to rise, and otherwise, cold deficiency is formed. The heat unbalance phenomenon can cause the condensation temperature or the evaporation temperature of the ground source heat pump unit to be increased, so that the pressure ratio of the compressor is increased, the coefficient of performance (COP) of the system is exponentially attenuated, even the high-pressure protection shutdown of the unit is initiated, and the full life cycle life of the system is seriously shortened. The existing scheme for solving the soil heat unbalance is mainly divided into two types, namely design side optimization and operation side compensation. On the design side, a hybrid ground source heat pump system is generally adopted, wherein the space between buried pipes is increased, the length of the buried pipes is increased or auxiliary cold and heat sources (such as a cooling tower and a boiler) are arranged. On the operating side, threshold control based on transient parameters is mainly used. For example, when the temperature of the backwater of the buried pipe is monitored to exceed 35 ℃, the cooling tower is forced to start for auxiliary heat dissipation, or when the temperature of the backwater is lower than 4 ℃, the auxiliary heat source is started. However, the existing system still has three major defects, namely, firstly, the hysteresis of control logic, the existing threshold control belongs to a fault response strategy, and intervention is only performed after the soil thermal environment is deteriorated and the system performance is obviously reduced. Because of the extremely large thermal inertia of the soil, the restoration at this time is often performed with half effort, and it is difficult to restore the ground temperature field in a short time. Secondly, the energy quality matching degree is low, the operation cost is high, the existing system is often overlapped to start auxiliary heat dissipation equipment in the peak load period (such as the hottest summer) of the building, the environmental wet bulb temperature is high, the cooling tower efficiency is low, and the peak electric charge is increased greatly due to the contention of energy resources with the tail end of the building. Thirdly, the resource waste in the time dimension is that the prior art completely ignores the idle period of periodic buildings (such as cold summer holidays of schools) for a plurality of months. The system is in an idle state during the period, and in fact, the system is an optimal gold window for restoring the heat balance of soil with extremely low energy consumption by utilizing natural environment cold and heat sources (such as night low-temperature air and summer strong solar radiation). The lack of overall planning based on a time axis is the largest short board of the current ground source heat pump control strategy. Therefore, in order to solve the above problems, there is a need for a method and a system for optimizing and controlling a ground source heat pump with dynamic load, so as to realize active maintenance and energy optimization management of the heat balance of the soil of the ground source heat pump system across seasons. Disclosure of Invention The invention aims to provide a ground source heat pump optimizing and regulating method and a system for dynamic load, which eliminate the heat imbalance accumulation effect, control annual net heat flux in a range close to zero through seasonal energy handling, maintain long-term stability of a soil temperature field, offset a power grid peak and a building load peak by using a building empty period, finish reconstruction of soil heat energy with the lowest marginal cost, avoid long-term operation of a compressor under extreme working condi