Intelligent heating method based on geothermal energy and supplementary heat source and related device

Abstract

The application discloses a kind of wisdom heat supply method and related device based on geothermal energy and supplementary heat source, comprising: predicting future 72 hours heat load, according to the current real-time weather forecast, the future 72 hours heat load obtained by prediction is corrected, to obtain the future 72 hours heat load after correction;According to the heat source characteristics of geothermal energy heat supply unit, solar heat supply system, wind energy heat supply system and industrial waste heat heat supply system, the coupling ratio of geothermal energy heat supply unit, solar heat supply system, wind energy heat supply system and industrial waste heat heat supply system is determined;Determine the operation quantity of geothermal heat exchange pipeline in geothermal heat exchange unit;According to the future 72 hours heat load after correction and the coupling ratio, the determined operation data amount of geothermal heat exchange pipeline is used to heat, and the method and related device can coordinate multiple heat sources to realize stable heating.

Description

Technical Field

[0001] This invention belongs to the field of geothermal energy comprehensive utilization and smart energy management technology, and relates to a smart heating method and related devices based on geothermal energy and supplementary heat sources. Background Technology

[0002] Current geothermal heating technology has the following core shortcomings in terms of intelligence: Weak intelligent control capabilities: Traditional systems rely heavily on manual parameter setting, lack the ability to learn autonomously based on historical data, have large errors in heat load prediction, and do not take into account weather factors to predict heat load fluctuations (such as insufficient heating when the temperature drops sharply).

[0003] Lack of multi-heat source coordination: The coupling of geothermal energy with intermittent heat sources such as solar and wind energy is limited to simple parallel connection, without forming a dynamic scheduling mechanism based on energy characteristics. For example, it is impossible to utilize the electricity generated during peak wind power generation to convert it into heat energy.

[0004] Insufficient self-handling capability for faults: When equipment malfunctions (such as leaks in heat exchange pipelines) or heat source fluctuates (such as sudden drops in solar irradiance), the system cannot automatically switch to backup energy or reconstruct the heating logic, requiring manual intervention, which increases the risk of heating interruption.

[0005] Low energy allocation efficiency: There is a lack of intelligent analysis of the periodic patterns of heat sources such as solar energy, wind energy, and industrial waste heat (e.g., changes in solar irradiance during the day, changes in wind power, and changes in industrial waste heat with industrial production load), resulting in low comprehensive energy utilization rate.

[0006] Based on the above issues, how to coordinate multiple heat sources to achieve stable heating has become an important research direction in this industry. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide a smart heating method and related device based on geothermal energy and supplementary heat sources. This method and related device can coordinate multiple heat sources to achieve stable heating.

[0008] To achieve the above objectives, this invention discloses a smart heating method based on geothermal energy and supplementary heat sources, comprising: The heat load for the next 72 hours is predicted, and then corrected based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours. Based on the heat source characteristics of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system, determine the coupling ratio of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system. Determine the number of geothermal heat exchange pipelines in the geothermal heat exchange unit; Heating is provided using geothermal heat exchange pipelines based on the revised future 72-hour heat load and the aforementioned coupling ratio, using the determined amount of operating data.

[0009] The further improvement of the smart heating method based on geothermal energy and supplementary heat sources described in this invention lies in: Furthermore, the process of predicting the heat load for the next 72 hours is as follows: Obtain weather and heat load data for the past 5 heating seasons, and predict the heat load for the next 72 hours based on the aforementioned weather and heat load data.

[0010] Furthermore, the process of determining the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is as follows: With the goal of achieving a comprehensive system thermal efficiency of ≥85% and the lowest operating cost, the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is optimized in real time.

[0011] Furthermore, it also includes: If any equipment in the local thermal energy heating unit, solar heating system, wind energy heating system, or industrial waste heat heating system fails, the system will switch to the backup equipment.

[0012] Furthermore, it also includes: control of geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems based on multi-agent technology, so as to ensure stable heating supply from geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems.

[0013] This invention discloses a smart heating system based on geothermal energy and a supplemental heat source, comprising: The learning and prediction module is used to predict the heat load for the next 72 hours. It corrects the predicted heat load for the next 72 hours based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours. The adaptive control module is used to determine the coupling ratio of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system based on the heat source characteristics of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system. The self-optimization module is used to determine the number of geothermal heat exchange pipelines in the geothermal heat exchange unit. The control module is used to provide heat through the geothermal heat exchange pipeline based on the corrected future 72-hour heat load and the coupling ratio, using the determined operating data.

[0014] A further improvement of the smart heating system based on geothermal energy and supplementary heat sources described in this invention is as follows: Furthermore, it also includes: The self-recovery management module is used to switch to backup equipment when any equipment in the local thermal energy heating unit, solar heating system, wind energy heating system, or industrial waste heat heating system fails.

[0015] Furthermore, it also includes: The self-organizing coordination module is used to control geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems based on multi-agent technology, so as to ensure stable heating supply from these systems.

[0016] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the smart heating method based on geothermal energy and supplementary heat source.

[0017] The present invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the smart heating method based on geothermal energy and supplementary heat sources.

[0018] The present invention has the following beneficial effects: In practical operation, the intelligent heating method and related devices based on geothermal energy and supplementary heat sources of this invention determine the coupling ratio of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system according to the heat source characteristics of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system. Then, based on the corrected future 72-hour heat load and the coupling ratio, heat is supplied using the geothermal heat exchange pipeline with the determined operating data, thereby achieving the goal of coordinating multiple heat sources to achieve stable heating. Attached Figure Description

[0019] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a diagram of the heating structure of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0022] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0024] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0025] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0027] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0028] Example 1 refer to Figure 1 The intelligent heating method based on geothermal energy and supplementary heat sources described in this invention includes: 1) Predict the heat load for the next 72 hours, and correct the predicted heat load for the next 72 hours based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours. 2) Determine the coupling ratio of the geothermal heating unit, solar heating system, wind heating system and industrial waste heat heating system based on the heat source characteristics of the geothermal heating unit, solar heating system, wind heating system and industrial waste heat heating system. 3) Determine the number of geothermal heat exchange pipelines in operation within the geothermal heat exchange unit; 4) Based on the revised future 72-hour heat load and the aforementioned coupling ratio, heat is supplied using the geothermal heat exchange pipeline with the determined operating data.

[0029] In this embodiment, the process of predicting the heat load for the next 72 hours is as follows: Obtain weather and heat load data for the past 5 heating seasons, and predict the heat load for the next 72 hours based on the aforementioned weather and heat load data.

[0030] In this embodiment, the process of determining the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is as follows: With the goal of achieving a comprehensive system thermal efficiency of ≥85% and the lowest operating cost, the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is optimized in real time.

[0031] In this embodiment, it is also included that if any equipment in the local thermal energy heating unit, solar energy heating system, wind energy heating system and industrial waste heat heating system fails, the system will switch to the backup equipment.

[0032] In this embodiment, it also includes: control of the geothermal heating unit, solar heating system, wind heating system and industrial waste heat heating system based on multi-agent technology, so as to ensure stable heating supply from the geothermal heating unit, solar heating system, wind heating system and industrial waste heat heating system.

[0033] Example 2 refer to Figure 2 The intelligent heating system based on geothermal energy and supplementary heat sources described in this invention includes: The learning and prediction module reads the weather data and heat load data of the past 5 heating seasons, predicts the heat load for the next 72 hours based on the weather data and heat load data of the past 5 heating seasons, and corrects the predicted heat load for the next 72 hours based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours.

[0034] The adaptive control module establishes heating priorities for geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems based on their heat source characteristics. It also determines the coupling ratio of geothermal, industrial waste heat, solar, and wind energy using a fuzzy control algorithm. During the day, solar and wind energy are prioritized for direct heating, while industrial waste heat is recovered in real-time as a supplementary heat source for geothermal coupling. At night, geothermal energy serves as the base heat load, with wind energy and off-peak industrial waste heat used in combination. Overall, geothermal energy meets 50%-70% of the stable base load heat demand, while solar, wind, and industrial waste heat serve as supplementary heat sources to meet the heating gap.

[0035] Self-optimization module: With the goal of achieving a system overall thermal efficiency of ≥85% and the lowest operating cost, it optimizes in real time the number of geothermal heat exchange pipelines in the geothermal heat exchange unit and the coordinated output ratio of multiple heat sources.

[0036] Self-recovery management module: Real-time monitoring of whether each heating device is malfunctioning. When any heating device malfunctions, the backup device of that heating device is activated to maintain the stability of the heating network water supply temperature.

[0037] Self-organizing and coordinating module: Based on multi-agent technology, it realizes the control of geothermal heating units, solar heating systems, wind heating systems and industrial waste heat heating systems to meet heating needs.

[0038] Geothermal heat exchange unit: includes a shell and several sets of geothermal heat exchange pipelines installed inside the shell. Each set of geothermal heat exchange pipelines consists of 2-4 pipelines connected in parallel. The outlets of the geothermal heating unit, solar heating system, wind heating system and industrial waste heat heating system are connected to the geothermal heat exchange pipelines through parallel pipelines.

[0039] The solar heating system converts solar energy into heat energy through a solar thermal conversion panel, and prioritizes its use for daytime heating.

[0040] When the wind speed meets the requirements, the wind power heating system converts wind energy into heat energy by driving an electric heating device through a wind turbine.

[0041] The industrial waste heat heating system recovers waste heat from the factory in real time, matching the industrial production load, and serves as a supplementary cascade heat source for the heating network.

[0042] When solar heating fails, the system prioritizes automatically increasing wind power heating, simultaneously increasing the proportion of industrial waste heat recovery, and finally utilizing geothermal energy for heating to maintain the water temperature fluctuation of the heating network at ≤2℃.

[0043] The equipment failures include leaks in geothermal heat exchange pipelines, malfunctions in solar collectors, and malfunctions in wind power heating equipment. The heat source fluctuations include sudden drops in solar irradiance, sudden decreases in wind power, and changes in industrial waste heat load.

[0044] Example 3 Taking a certain park that requires heating as an example, the configuration of the smart heating system is as follows: The system operates through an intelligent control system, which reads weather (temperature, sunshine, wind speed) and heat load data from the past 5 heating seasons. It uses AI big data to predict the heat load for the next 72 hours and combines real-time weather forecasts to make real-time corrections. The system collects data every 10 minutes.

[0045] The self-learning prediction module predicts a peak daytime heat load of 1000kW, and the adaptive control module allocates 500kW (base load) to geothermal energy, 200kW to solar energy, 150kW to wind power electric heating, and 150kW to industrial waste heat, maintaining a high overall thermal efficiency for the entire park.

[0046] During the daytime heat load trough, the self-organizing module coordinates the reduction of geothermal and industrial waste heat supply, and the system automatically reduces the number of operating heat exchange pipeline groups, thereby reducing overall energy consumption.

[0047] At night or during rainy weather, the self-recovery module detects solar energy failure, automatically increases the industrial waste heat supply, and starts all geothermal pipelines to maintain the heating network water supply temperature and overall heating load.

[0048] Example 4 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the smart heating method based on geothermal energy and supplementary heat sources. For example, the steps include: predicting the heat load for the next 72 hours; correcting the predicted heat load for the next 72 hours based on current real-time weather forecasts to obtain a corrected heat load for the next 72 hours; determining the coupling ratio of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system based on the heat source characteristics of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system; determining the number of geothermal heat exchange pipelines operating in the geothermal heat exchange unit; and providing heating using the determined number of geothermal heat exchange pipelines based on the corrected heat load for the next 72 hours and the coupling ratio. The memory may include main memory, such as high-speed random access memory (RAM), or non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, or an extended industry-standard architecture bus. The bus can be categorized as an address bus, data bus, or control bus. The memory stores programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0049] Example 5 A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the smart heating method based on geothermal energy and supplementary heat sources. For example, the method includes: predicting the heat load for the next 72 hours; correcting the predicted heat load for the next 72 hours based on current real-time weather forecasts to obtain a corrected heat load for the next 72 hours; determining the coupling ratio of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system based on the heat source characteristics of the geothermal heating unit, solar heating system, wind power heating system, and industrial waste heat heating system; determining the number of geothermal heat exchange pipelines operating in the geothermal heat exchange unit; and providing heating using the determined number of operating geothermal heat exchange pipelines based on the corrected heat load for the next 72 hours and the coupling ratio. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0050] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0051] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0052] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0053] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0054] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0055] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0056] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A smart heating method based on geothermal energy and supplemental heat sources, characterized in that, include: The heat load for the next 72 hours is predicted, and then corrected based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours. Based on the heat source characteristics of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system, determine the coupling ratio of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system. Determine the number of geothermal heat exchange pipelines in the geothermal heat exchange unit; Based on the revised future 72-hour heat load and the aforementioned coupling ratio, heating is provided using the determined number of geothermal heat exchange pipelines in operation. The process of determining the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is as follows: With the goal of achieving a comprehensive system thermal efficiency of ≥85% and the lowest operating cost, the number of geothermal heat exchange pipelines in the geothermal heat exchange unit is optimized in real time. During the day, solar and wind energy are prioritized for direct heating by conversion into thermal energy, while industrial waste heat is recovered in real time as a supplementary heat source for geothermal coupling. At night, geothermal energy is used as the base heat load, with wind energy and industrial waste heat during off-peak hours being utilized in combination.

2. The smart heating method based on geothermal energy and supplementary heat sources according to claim 1, characterized in that, The process of predicting the heat load for the next 72 hours is as follows: Obtain weather and heat load data for the past 5 heating seasons, and predict the heat load for the next 72 hours based on the aforementioned weather and heat load data.

3. The smart heating method based on geothermal energy and supplementary heat sources according to claim 1, characterized in that, Also includes: If any equipment in the local thermal energy heating unit, solar heating system, wind energy heating system, or industrial waste heat heating system fails, the system will switch to the backup equipment.

4. The smart heating method based on geothermal energy and supplementary heat sources according to claim 1, characterized in that, Also includes: Based on multi-agent technology, the system controls geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems to ensure stable heating.

5. A smart heating system based on geothermal energy and a supplementary heat source, used to implement the smart heating method based on geothermal energy and a supplementary heat source as described in claim 1, characterized in that, include: The learning and prediction module is used to predict the heat load for the next 72 hours. It corrects the predicted heat load for the next 72 hours based on the current real-time weather forecast to obtain the corrected heat load for the next 72 hours. The adaptive control module is used to determine the coupling ratio of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system based on the heat source characteristics of the geothermal heating unit, solar heating system, wind heating system, and industrial waste heat heating system. The self-optimization module is used to determine the number of geothermal heat exchange pipelines in the geothermal heat exchange unit. The control module is used to provide heat using a determined number of geothermal heat exchange pipelines based on the corrected future 72-hour heat load and the coupling ratio.

6. The intelligent heating system based on geothermal energy and supplementary heat source according to claim 5, characterized in that, Also includes: The self-recovery management module is used to switch to backup equipment when any equipment in the local thermal energy heating unit, solar heating system, wind energy heating system, or industrial waste heat heating system fails.

7. The intelligent heating system based on geothermal energy and supplementary heat source according to claim 5, characterized in that, Also includes: The self-organizing coordination module is used to control geothermal heating units, solar heating systems, wind heating systems, and industrial waste heat heating systems based on multi-agent technology, so as to ensure stable heating supply from these systems.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the smart heating method based on geothermal energy and supplementary heat sources as described in any one of claims 1-4.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the smart heating method based on geothermal energy and supplementary heat sources as described in any one of claims 1-4.

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