Steam heat supply system capable of self-driving and boosting and on-demand optimization matching method

Abstract

The invention discloses a self-driven boosting steam heat supply system and an on-demand optimization matching method, and belongs to the technical field of industrial steam centralized heat supply and energy conservation. Comprising a steam heat source, a steam turbine, a steam compressor, user areas with different pressure requirements, an electric pressure reducing valve, an electric adjusting valve and a data acquisition control center. The system utilizes a steam turbine and a steam compressor to convert surplus energy of steam in front of a low-pressure user area into power for increasing steam pressure of a high-pressure user area, and gradient utilization of steam energy is achieved. According to the on-demand optimization matching method, user partitions are divided by analyzing user demands, a pipe network model is established by adopting pipe network mechanism modeling or data modeling, an intelligent adjustment algorithm is constructed, and a closed loop is regulated and controlled by means of a data acquisition control center. The problems that a traditional steam heat supply system wastes energy and cannot accurately match user requirements are effectively solved, heat source supply parameters and system energy consumption can be reduced, the energy utilization efficiency is improved, and good economic benefits and social benefits are generated.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial steam centralized heating energy conservation, and in particular relates to a steam heating system capable of self-driven pressure boosting and an on-demand optimization matching method. Background Art

[0002] In my country's industrial energy structure, centralized steam heating systems at the park and even city levels are a crucial foundation and guarantee for industrial production. Within the context of the "dual carbon" strategy, achieving precise, on-demand heating through technological means, thereby improving energy efficiency, is one of the technical directions for achieving carbon peak and carbon neutrality goals.

[0003] The essential energy source in the production process of industrial parks is mainly heat, and the heat used for production is mainly provided by the heating system. The heating system uses energy supply enterprises such as "thermal power plants" as the heat source output side and the heating pipeline network as the transmission channel to centrally supply heat to steam heat users. However, due to factors such as different industries and production processes, different heat users have very different requirements for steam parameters, especially pressure parameters. Steam is transported from the heat source output side through long-distance pipelines, and there will be heat and pressure losses along the way. The different geographical distribution of heat users will also affect the steam user experience. For example, when steam is transported from the heat source to users far away from the heat source, due to the long-distance transportation, the resistance along the way is large, resulting in lower pressure for users far away from the heat source. Conversely, the pressure for users close to the heat source is too high and needs to be reduced. Therefore, in traditional steam heating systems, to meet the steam pressure requirements of users with special pressures or those located far from the heat source, the heat source's heating pressure is set based on the worst-case scenario. This often requires a very high pressure. As a result, most heat users, especially those closer to the heat source plant, need to reduce the steam pressure after receiving it, resulting in throttling losses and ineffective utilization of this energy. Conversely, the heat source plant's need to supply high-parameter steam to external users impairs its power generation efficiency and maintains high heating energy consumption. In summary, the inability to precisely deliver heat on demand results in significant energy losses.

[0004] In the current industrial steam heating sector, energy waste and inaccurate heat supply in traditional systems have become bottlenecks in the industry's development. On the one hand, due to the inability to accurately meet the diverse steam pressure requirements of different heat users, the heat source's heating pressure must be increased to ensure steam supply to users with special pressures and those located far away. This forces users near the heat source to reduce the steam pressure after receiving it, resulting in significant throttling losses and low energy efficiency. On the other hand, the need to supply high-performance steam at heat source plants compromises power generation efficiency, leading to high heating energy consumption, which seriously impacts the economic benefits of enterprises and the sustainable use of energy.

[0005] Under this severe situation, it is urgent to develop a technical solution that can break through traditional limitations. If a self-driven steam heating system with pressure boosting can be successfully invented, the surplus energy of the steam in front of the low-pressure user area can be fully utilized to increase the steam pressure in the high-pressure user area, and the cascade utilization of steam energy can be realized, it will effectively balance the steam demand of different parameters and significantly reduce overall energy consumption. Furthermore, developing a matching on-demand optimization matching method, using models and algorithms to achieve intelligent and adaptive regulation and control, and achieve on-demand precise heating, will not only save costs and improve economic benefits for enterprises, but will also effectively promote the development of the industrial steam heating industry in a green and efficient direction, helping to achieve the strategic goals of carbon peak and carbon neutrality, which has extremely important practical significance and social value. Summary of the Invention

[0006] In view of this, the present invention aims to overcome the shortcomings of the aforementioned prior art by providing a self-propelled steam heating system and a method for on-demand optimization matching. This system and method effectively utilizes excess steam energy near low-pressure user areas near the heat source output side. This energy is converted into power to increase the steam pressure for delivery to high-pressure user areas by using a steam turbine to drive a steam compressor, thereby fully utilizing the steam energy in a cascaded manner. Simultaneously, the system can adaptively match steam supplied from a single heat source to heat users with different steam pressure requirements, meeting the varying steam pressure requirements arising from industry and production process differences. Furthermore, the system can reduce heat source supply parameters, minimize throttling losses, and thereby reduce overall energy consumption in the heating network and energy consumption on the heat source output side, thereby improving energy efficiency. Furthermore, by establishing a pipeline network model through pipeline mechanism modeling or data modeling, combined with intelligent regulation algorithms, and utilizing a data acquisition and control center, adaptive optimization matching control of the entire system is achieved, achieving intelligent on-demand regulation, reducing overall energy consumption in the heating network, and generating significant economic and social benefits.

[0007] To achieve the above-mentioned object, the first aspect of the present invention provides a steam heating system capable of self-driven pressure increase, comprising: a steam heat source, a steam turbine, a steam compressor, a low-pressure user area, a high-pressure user area, other user areas, an electric pressure reducing valve, an electric regulating valve and a data acquisition and control center; wherein

[0008] The steam heat source is used to output superheated steam with relatively stable pressure and temperature, and supply heat to heat users through the heating pipe network;

[0009] The electric pressure reducing valve has its input end connected to the steam heating main pipe, and is used to receive steam from the steam heating main pipe and realize pressure reduction regulation as needed;

[0010] An electric regulating valve, the input end of which is connected to the output end of the electric pressure reducing valve, for receiving steam from the electric pressure reducing valve and realizing on-demand flow regulation;

[0011] A steam turbine, whose input end is connected to the output end of the electric regulating valve, and whose output end is connected to the input end of the low-pressure user area; the steam turbine is connected to the steam compressor via a rigid shaft. Under the action of steam, the steam turbine utilizes the enthalpy difference between its inlet and outlet steam to perform work. On the one hand, the steam parameters after the work is reduced in pressure are adapted to the steam demand of the low-pressure user area, so that it can be used by users in the low-pressure user area; on the other hand, the mechanical energy generated by the work is transmitted to the steam compressor, and the steam compressor is driven by the turbine to operate;

[0012] The steam compressor has its input connected to the steam heating main pipe and its output connected to the input of the high-pressure user area. Driven by the steam turbine, the steam compressor performs work on the steam entering it, raising the steam pressure to meet the needs of the high-pressure user area for use by users in the high-pressure user area.

[0013] Other user areas are for users without special parameter requirements, and steam is supplied by the main pipe of the heating network;

[0014] The data acquisition and control center is used to collect sensor measurement data in real time, perform processing and calculation, and output control signals to the electric pressure reducing valve and the electric regulating valve, thereby intelligently regulating the operation of the system and achieving balanced matching of heating parameters.

[0015] Furthermore, the steam heat source, steam turbine, steam compressor, low-pressure user area, high-pressure user area, other user areas, electric pressure reducing valve, and electric regulating valve are all connected through a heating steam pipeline.

[0016] Furthermore, the input and output ends of the steam turbine are both provided with sensor components, and the input and output ends of the steam compressor are both provided with sensor components, and the sensor components are electrically connected to the data acquisition and control center.

[0017] Furthermore, the sensor assembly includes a pressure sensor, a temperature sensor and a flow sensor, and each assembly is numbered a, b, c, d, e.

[0018] A second aspect of the present invention provides an on-demand optimization matching method for a steam heating system capable of self-driven pressure boosting, comprising:

[0019] Step S1: Analyze steam user demand pressure, geographical location, etc., and divide users into zones, based on user groups with strong steam pressure characteristics and clustering, into low-pressure user zones, high-pressure user zones, and other user zones;

[0020] Step S2: Select the base pressure P of the steam used in the low-pressure user area. tar1 , select the reference pressure P of steam used in the high-pressure user area tar2 ;

[0021] Step S3: Use the network mechanism modeling method or data modeling method to establish a network model to meet the base pressure P of the steam used in the low-pressure user area. tar1 , Base pressure P of steam used in high-pressure user area tar2 And the base pressure P of steam used in other user areas tar3 As a constraint condition, the valve characteristic curve is used as the boundary condition, and the measured data of the sensor components is used as the calculation basis. An accurate optimization algorithm for the steam supply pressure of the steam heat source and an intelligent adjustment algorithm for the opening of the electric pressure reducing valve and the electric control valve are established.

[0022] Step S4: Set the algorithm execution cycle, and the data acquisition control center issues control instructions in real time to complete the control closed loop.

[0023] Furthermore, the simulation function of the intelligent adjustment algorithm in step S3 is as follows:

[0024] P 功 =f(P tar2 ,Pb,Tb,Fb,Pd,Td,Fd)

[0025] Among them, P 功 is the shaft power required by the steam compressor, Pb, Tb, Fb, Pd, Td, and Fd are the measured data of sensor b and sensor assembly d, respectively;

[0026] [Op,Of,Py]=f(P tar1 , P tar3 , P 功 , Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, Fe, Cp, Cf)

[0027] Where Op is the opening of the electric pressure reducing valve, Of is the opening of the electric control valve, Py is the recommended value of the steam heat source supply pressure, Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, and Fe are the measured data of sensor a, sensor component c, and sensor component e, respectively; Cp is the characteristic curve of the electric pressure reducing valve; and Cf is the characteristic curve of the electric control valve.

[0028] The present invention adopts the above technical solution, which has at least the following beneficial effects:

[0029] 1. The present invention captures the surplus energy of steam in front of the low-pressure user area through the coordinated operation of the steam turbine and the steam compressor, converts it into steam pressure-boosting power in the high-pressure user area, realizes the cascade utilization of steam energy, avoids energy waste, and gives full play to the value of steam energy;

[0030] 2. The on-demand optimization matching method provided by the present invention adapts to steam demand and provides adaptive steam pressure for users in different regions based on their steam pressure characteristics and geographical location, ensuring the stability and continuity of production for heat users and improving the quality of heating services. It also significantly reduces system energy consumption, breaks the traditional heating thinking, reduces the pressure on heat source supply, reduces the energy consumption of high-parameter steam produced by heat source plants and the energy loss of pressure reduction at heat users, and alleviates the energy burden of enterprises.

[0031] 3. The on-demand optimization matching method provided by the present invention realizes intelligent and precise control. With the help of the data acquisition and control center, the pipe network model and the intelligent adjustment algorithm, it can sense the changes in the steam demand of heat users in real time, adjust the equipment parameters, ensure that the heating parameters match the user needs, and improve the automation level and operational stability of the heating system; create significant economic and social benefits, reduce energy consumption and reduce the energy costs of enterprises, and improve production efficiency and enhance the market competitiveness of enterprises through stable steam supply. At the same time, it meets the requirements of the "dual carbon" strategy, reduces carbon emissions, and promotes the green and efficient development of the industrial heating industry;

[0032] 4. The present invention also divides users into zones based on the characteristic pressure requirements of pipeline users and the geographical distribution of heat users, selects appropriate low-pressure and high-pressure user areas, and uses steam turbines to drive steam compressors to convert surplus steam energy in front of the low-pressure user area into power to increase the steam pressure in the high-pressure user area, thereby achieving full cascade utilization of steam energy, effectively reducing the steam parameters supplied on the heat source output side, and reducing the overall energy consumption of the heat network and the heat source output side, thereby achieving better economic and social benefits.

[0033] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 This is a schematic diagram of a steam heating system capable of self-driving and pressurizing according to the present invention;

[0037] Figure 2 The present invention is a flow chart of an on-demand optimization matching method for a steam heating system capable of self-driven pressure boosting.

[0038] In the figure, 1. Steam heat source, 2. Steam turbine, 3. Steam compressor, 4. Low-pressure user area, 5. High-pressure user area, 6. Other user areas, 7. Electric pressure reducing valve, 8. Electric regulating valve, 9. Data acquisition and control center. DETAILED DESCRIPTION

[0039] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0040] In the description of the embodiments of the present invention, unless otherwise specified or limited, the terms "connected" and "connection" should be understood broadly. For example, they can refer to electrical connection, direct connection, indirect connection through an intermediate medium, or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention.

[0041] Example 1

[0042] like Figure 1 As shown, this embodiment provides a steam heating system with a self-driven pressure-boosting function, the system including a steam heat source 1, a steam turbine 2, a steam compressor 3, a low-pressure user area 4, a high-pressure user area 5, other user areas 6, an electric pressure reducing valve 7, an electric regulating valve 8 and a data acquisition and control center 9.

[0043] The steam heat source 1 is capable of outputting superheated steam with relatively stable pressure and temperature, and supplying heat to heat users through the heating pipeline network. The steam parameters supplied by the steam heat source are determined by the demand parameters of the heat users. For example, among the heat users supplied by a certain heating network, the heat users in the area closer to the steam heat source require a steam pressure of 2MPa, and this area is called the low-pressure user area 4; while in the area farther away from the steam heat source, the heat users require a steam pressure of 3MPa, and this area is called the high-pressure user area 5. In the traditional steam heating network supply system, in order to take into account the heat dissipation and resistance loss of long-distance transmission pipelines, the superheated steam pressure output by the steam heat source 1 may need to reach 3.5MPa or even higher to meet the pressure requirements of the high-pressure user area 5;

[0044] In this embodiment, the system adds the following structure:

[0045] The input end of the electric pressure reducing valve 7 is connected to the steam heating main pipe, which is used to receive steam from the steam heating main pipe and realize pressure reduction regulation as needed;

[0046] The input end of the electric regulating valve 8 is connected to the output end of the electric pressure reducing valve 7, and is used to receive steam from the electric pressure reducing valve 7 and realize on-demand flow regulation;

[0047] The input end of the steam turbine 2 is connected to the output end of the electric regulating valve 8, and the output end is connected to the input end of the low-pressure user area 4. The steam turbine uses the steam enthalpy difference before and after to perform work. The steam parameters after the work is reduced in pressure match the needs of the low-pressure user area 4 and are used by users in the low-pressure user area 4.

[0048] The steam turbine 2 is connected to the steam compressor 3 via a rigid shaft. The steam turbine 2 acts as a driving machine, utilizing the steam enthalpy difference before and after to do work, and then drives the steam compressor 3 to realize the steam compression process.

[0049] The input end of the steam compressor 3 is connected to the steam heating main pipe, and the output end is connected to the input end of the high-pressure user area 5. The steam compressor 3 is driven by the steam turbine 2 to increase the steam pressure to meet the demand of the high-pressure user area 5 for use by users in the high-pressure user area 5.

[0050] Other user area 6 is for users without special parameter requirements, and steam is supplied by the main pipe of the heating network;

[0051] The data acquisition and control center 9 is used to collect sensor measurement data in real time, process and calculate it, and output control signals to the electric pressure reducing valve 7 and the electric regulating valve 8, thereby intelligently regulating the operation of the system and achieving balanced matching of heating parameters;

[0052] In this embodiment, the basic form of most industrial steam pipe networks is a branched pipe network, that is, a plurality of branches are branched from a main pipe to supply heat to different heating areas. The steam turbine (2) and steam compressor (3) described in this embodiment are installed on the branch line from the main pipe to the low-pressure user area (4). The steam pressure drop of the branch line is used to work and is transmitted to the coaxial steam compressor (3). The steam source of the steam compressor (3) is the branch steam of the branch line (from the attached Figure 1 As can be seen in the figure, the steam is pressurized and sent to the high-pressure user area (5) through the pipeline, so there is no problem of long-distance transmission of mechanical energy. What is transmitted over long distances is the pressurized steam transmitted through the steam pipeline.

[0053] Specifically, sensor components are provided at the input and output ends of the steam turbine 2, and sensor components are also provided at the input and output ends of the steam compressor 3. The sensor components are electrically connected to the data acquisition and control center 9;

[0054] Specifically, the sensor assembly includes a pressure sensor (P), a temperature sensor (T), and a flow sensor (F);

[0055] Based on the above structure, an electric pressure reducing valve 7, an electric regulating valve 8 and a steam turbine 2 are added to the branch pipeline between the heating steam main pipe and the low-pressure user area 4; a steam compressor 3 is added to the branch pipeline between the heating steam main pipe and the high-pressure user area 5; the steam enthalpy difference between the heating steam main pipe and the low-pressure user area 4 can be effectively utilized to drive the steam turbine 2 to do work, and drag the steam compressor 3 to increase the steam pressure, thereby dividing the steam of the same parameters supplied by the steam main pipe into two, making full use of the steam energy in a cascade manner, realizing accurate on-demand supply of steam, and achieving balanced matching of steam parameters. The entire process is intelligently controlled by the data acquisition and control center 9, which can effectively reduce the steam parameters supplied by the steam heat source 1, reduce throttling losses, reduce comprehensive energy consumption, and improve comprehensive energy efficiency.

[0056] Example 1 only uses the example of distinguishing a single group of high-pressure user areas and low-pressure user areas. In actual implementation, the division of high / low-pressure user areas can be gradually refined according to different heating network structures or geographical distribution of users. In some heating networks, multiple groups of pressure users can be divided according to different geographical locations, or even multiple levels of pressure users can be divided, thereby achieving matching optimization of step-by-step utilization of steam with smaller granularity.

[0057] Example 2

[0058] like Figure 2 As shown, the on-demand optimization matching method of the steam heating system capable of self-driven pressure boosting includes:

[0059] Step S1: Analyze steam user demand pressure, geographical location, etc., and divide users into zones, based on user groups with strong steam pressure characteristics and clustering, into low-pressure user zones, high-pressure user zones, and other user zones;

[0060] Step S2: Select the base pressure P of the steam used in the low-pressure user area. tar1 , select the reference pressure P of steam used in the high-pressure user area tar2 ;

[0061] Step S3: Use the network mechanism modeling method or data modeling method to establish a network model to meet the base pressure P of the steam used in the low-pressure user area. tar1 And the base pressure P of steam used in high-pressure user area tar2 As the constraint condition, the valve characteristic curve is used as the boundary condition, and the measured data of the sensor component is used as the calculation basis to establish the intelligent adjustment algorithm for the opening of the electric pressure reducing valve and the electric control valve;

[0062] Step S4: Set the algorithm execution cycle, and the data acquisition control center issues control instructions in real time to complete the control closed loop.

[0063] Specifically, the simulation function of the intelligent adjustment algorithm in step S3 is as follows:

[0064] P 功 =f(P tar2 ,Pb,Tb,Fb,Pd,Td,Fd)

[0065] Among them, P 功 is the shaft power required by the steam compressor, Pb, Tb, Fb, Pd, Td, and Fd are the measured data of sensor b and sensor assembly d, respectively;

[0066] [Op,Of,Py]=f(P tar1 , P tar3 , P 功 , Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, Fe, Cp, Cf)

[0067] Where Op is the opening of the electric pressure reducing valve, Of is the opening of the electric control valve, Py is the recommended value of the steam heat source supply pressure, Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, and Fe are the measured data of sensor a, sensor component c, and sensor component e, respectively; Cp is the characteristic curve of the electric pressure reducing valve; and Cf is the characteristic curve of the electric control valve.

[0068] Similar to Example 1, Example 2 only uses the example of distinguishing a single group of high-pressure user areas and low-pressure user areas. In actual implementation, the division of high / low-pressure user areas can be gradually refined according to different heating network structures or geographical distribution of users. In some heating networks, multiple groups of pressure users can be divided according to different geographical locations, or even multiple levels of pressure users can be divided, thereby achieving matching optimization of step-by-step utilization of steam with smaller granularity.

[0069] like Figure 2 As shown, the present invention relates to an on-demand optimization matching method for a steam heating system capable of self-driven pressure boosting, which comprises:

[0070] Step S1: Analyze steam user demand pressure, geographical location, etc., and divide users into low-pressure user areas, high-pressure user areas, and other user areas based on user groups with strong steam pressure characteristics and clustering;

[0071] Step S2: Determine the base pressure P of the steam used in the low-pressure user area. tar1 , and the reference pressure P of steam used in the high-pressure user area tar2 ;

[0072] Step S3: Establish a pipe network model by using a pipe network mechanism modeling method or a data modeling method, and use the reference pressure P of the steam used in the low-pressure user area as the reference pressure. tar1 And the base pressure P of steam used in high-pressure user area tar2As the constraint condition, the valve characteristic curve is used as the boundary condition, and the measured data of the sensor component is used as the calculation basis to construct the intelligent adjustment algorithm for the opening of the electric pressure reducing valve and the electric control valve;

[0073] Step S4: Set the algorithm execution cycle, and the data acquisition control center issues control instructions in real time to complete the control closed loop.

[0074] Specifically, the simulation function of the intelligent adjustment algorithm in step S3 is as follows:

[0075] P 功 =f(P tar2 ,Pb,Tb,Fb,Pd,Td,Fd)

[0076] Where Pwork represents the shaft power required by the steam compressor, and Pb, Tb, Fb, Pd, Td, and Fd represent the measured data of sensor b and sensor assembly d, respectively;

[0077] [Op,Of,Py]=f(P tar1 , P tar3 , P 功 , Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, Fe, Cp, Cf)

[0078] Among them, Op represents the opening of the electric pressure reducing valve, Of represents the opening of the electric control valve, Py represents the recommended value of the steam heat source supply pressure, Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, and Fe represent the measured data of sensor a, sensor component c, and sensor component e, respectively, Cp represents the characteristic curve of the electric pressure reducing valve, and Cf represents the characteristic curve of the electric control valve.

[0079] Similar to Example 1, Example 2 is only illustrated by distinguishing a single group of high-pressure user areas and low-pressure user areas. In actual operation, the division of high / low-pressure user areas can be gradually refined according to different heating network structures or geographical distribution of users. In some heating networks, multiple groups of pressure users can be divided according to different geographical locations, or even multiple levels of pressure users can be divided, thereby achieving matching optimization of step-by-step utilization of steam with smaller granularity.

[0080] Example 3

[0081] In a large-scale comprehensive industrial plant, there are many heat users and their steam demand is complex and changeable. The production processes of some heat users will be adjusted according to order requirements, resulting in fluctuations in steam pressure and flow in a short period of time.

[0082] like Figure 1 and Figure 2 As shown, the system composition and connection relationship:

[0083] Steam heat source 1: It can output superheated steam with relatively stable pressure and temperature. It serves as the steam source for the entire heating system and supplies heat to various heat users through the heating pipeline network.

[0084] Electric pressure reducing valve 7: The input end is connected to the steam heating main pipe, used to receive steam from the steam heating main pipe and adjust the steam pressure according to system requirements.

[0085] Electric regulating valve 8: The input end is connected to the output end of the electric pressure reducing valve 7, receives steam from the electric pressure reducing valve 7, and realizes on-demand adjustment of steam flow.

[0086] Steam turbine 2: Its input is connected to the output of electric control valve 8, and its output is connected to the input of low-pressure user zone 4. The steam turbine utilizes the steam enthalpy difference between the front and rear ends to generate power. The steam parameters after this power generation and pressure reduction match the needs of low-pressure user zone 4 and are then used by users in low-pressure user zone 4. Steam turbine 2 is connected to steam compressor 3 via a rigid shaft. Steam turbine 2 acts as a driver, utilizing the steam enthalpy difference to generate power, and then drives steam compressor 3 to achieve steam compression.

[0087] Steam compressor 3: Its input is connected to the steam heating main pipe, and its output is connected to the input of high-pressure user area 5. Steam compressor 3, driven by steam turbine 2, raises the steam pressure to match the demand of high-pressure user area 5 for consumption by users in high-pressure user area 5.

[0088] Low-pressure user zone 4, high-pressure user zone 5, and other user zone 6 represent heat user areas with different steam pressure requirements. Low-pressure user zone 4 primarily consists of light industrial manufacturers, such as food processing and textile printing and dyeing, whose production processes have relatively low steam pressure requirements. High-pressure user zone 5 includes machinery manufacturing and chemical synthesis enterprises, which have higher steam pressure requirements. Other user zone 6 is for users with non-special parameter requirements, and steam is supplied by the main pipe of the heating network.

[0089] Data Acquisition and Control Center 9: This collects sensor measurement data in real time, processes and calculates it, and outputs control signals to the electric pressure reducing valve 7 and the electric regulating valve 8, thereby intelligently regulating the operation of the system and achieving balanced matching of heating parameters. Sensor assemblies are installed at the input (sensor assembly a) and output (sensor assembly c) of the steam turbine 2, the input (sensor assembly b) and output (sensor assembly d) of the steam compressor 3, and the steam inlet of other user areas 6 (sensor assembly e). The sensor assemblies include a pressure sensor (P), a temperature sensor (T), and a flow sensor (F), and are electrically connected to the data acquisition and control center 9.

[0090] Operation process: When the steam demand of heat users in the factory area changes, for example, a manufacturing enterprise (located in the high-pressure user area 5) receives a new order and needs to add a production line, resulting in a temporary increase in the steam pressure demand from 3MPa to 3.2MPa. At the same time, a food processing plant (located in the low-pressure user area 4) reduces its steam consumption by half due to equipment maintenance.

[0091] At this time: sensor components a, b, c, d, e collect the pressure, temperature and flow data of steam at various locations in real time, and transmit the data to the data acquisition control center 9.

[0092] The data acquisition and control center 9 analyzes and processes the collected data, and calculates the optimal opening adjustment values ​​of the electric pressure reducing valve 7 and the electric regulating valve 8 based on the established pipeline network model and intelligent adjustment algorithm (the algorithm takes into account the real-time steam demand of heat users, steam quality requirements and the dynamic characteristics of the pipeline network).

[0093] The data acquisition and control center 9 sends control signals to the electric pressure reducing valve 7 and the electric regulating valve 8, adjusting the valve openings. The electric pressure reducing valve 7 reduces the pressure of the steam entering the branch of steam turbine 2 as needed, while the electric regulating valve 8 regulates the steam flow. Steam turbine 2 utilizes the enthalpy difference between the upstream and downstream steam to generate work, driving the steam compressor 3 to compress more steam to meet the new pressure requirements of the high-pressure user area 5. During this process, the data acquisition and control center 9 continuously monitors the data from various sensors to ensure that the steam parameters in the low-pressure user area 4 remain stable within the appropriate range to meet the heat needs of users in this area.

[0094] The self-propelled, pressure-boosted steam heating system and on-demand optimization matching method of this embodiment effectively addresses the complex and ever-changing steam demands of heat users within the plant. Compared to traditional heating methods, while meeting the same heating demand, precise control ensures stable production for heat users with high steam quality requirements, thereby improving the reliability and energy efficiency of the entire plant heating system.

[0095] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0096] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0097] Those skilled in the art will clearly understand that, for the sake of convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0098] With the above-described preferred embodiments of the present invention as a guide, and with reference to the above description, relevant personnel are fully capable of making various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the contents of the specification and must be determined according to the scope of the claims.

Claims

1. A steam heating system capable of self-driven pressure increase, characterized by: include: A steam heat source (1) is used to output superheated steam with relatively stable pressure and temperature to supply heat to heat users through a heating pipe network; An electric pressure reducing valve (7), the input end of which is connected to the steam heating main pipe, is used to receive steam from the steam heating main pipe and realize pressure reduction regulation according to demand; An electric regulating valve (8), the input end of which is connected to the output end of the electric pressure reducing valve (7), for receiving steam from the electric pressure reducing valve (7) and realizing on-demand flow regulation; The steam turbine (2) has an input end connected to the output end of the electric regulating valve (8), and an output end connected to the input end of the low-pressure user area (4); the steam turbine (2) is connected to the steam compressor (3) via a rigid shaft. Under the action of steam, the steam turbine (2) uses the enthalpy difference between its inlet and outlet steam to perform work, on the one hand, making the steam parameters after the work is reduced in pressure adapt to the steam demand of the low-pressure user area (4) for use by users in the low-pressure user area (4); on the other hand, the mechanical energy generated by the work is transferred to the steam compressor (3), and the steam compressor (3) is driven to operate as a driving machine; A steam compressor (3) has an input end connected to a steam heating main pipe and an output end connected to an input end of a high-pressure user area (5); driven by a steam turbine (2), the steam compressor (3) performs work on steam entering the steam compressor, thereby increasing the steam pressure to a level that matches the demand of the high-pressure user area (5) for use by users of the high-pressure user area (5); Other user areas (6) are for users without special parameter requirements, and steam is supplied by the main pipe of the heating network; The data acquisition control center (9) is used to collect sensor measurement data in real time, perform processing and calculation, and output control signals to the electric pressure reducing valve (7) and the electric regulating valve (8), thereby intelligently regulating the operation of the system and achieving balanced matching of heating parameters.

2. The self-driven and pressurized steam heating system according to claim 1, characterized in that: The steam heat source (1), the steam turbine (2), the steam compressor (3), the low-pressure user area (4), the high-pressure user area (5), the other user areas (6), the electric pressure reducing valve (7), and the electric regulating valve (8) are all connected via a heating steam pipeline.

3. The self-driven and pressurized steam heating system according to claim 1, characterized in that: The input and output ends of the steam turbine (2) are both provided with sensor components, and the input and output ends of the steam compressor (3) are both provided with sensor components, and the sensor components are electrically connected to the data acquisition control center (9).

4. The self-driven and pressurized steam heating system according to claim 3, characterized in that: The sensor assembly includes a pressure sensor (P), a temperature sensor (T) and a flow sensor (F), and each assembly is numbered a, b, c, d, e.

5. A method for optimizing and matching steam heating systems with self-driven pressure boosting, characterized by: include: Step S1: Analyze the steam user demand pressure and geographical location, divide the user into zones, and classify the user groups with strong steam pressure characteristics and concentrated concentrations into low-pressure user zones (4), high-pressure user zones (5), and other user zones (6); Step S2: Select the base pressure P of the steam used in the low-pressure user area (4) tar1 , select the reference pressure P of the steam used in the high-pressure user area (5) tar2 ; Select the base pressure P of steam for other user areas (6) tar3 ; Step S3: Use the network mechanism modeling method or data modeling method to establish a network model to meet the base pressure P of the steam used in the low-pressure user area (4). tar1 、High-pressure user area (5) Steam base pressure P tar2 and the base pressure P of steam used in other user areas (6) tar3 As a constraint condition, the valve characteristic curve is used as a boundary condition, and the measured data of the sensor component is used as a calculation basis to establish a precise optimization algorithm for the steam supply pressure of the steam heat source (1) and an intelligent adjustment algorithm for the opening of the electric pressure reducing valve (7) and the electric control valve (8); Step S4: Set the algorithm execution cycle, and the data acquisition control center (9) issues control instructions in real time to complete the control closed loop.

6. The on-demand optimization matching method for a self-driven and pressure-boosted steam heating system according to claim 5, characterized in that: The simulation function of the intelligent adjustment algorithm in step S3 is as follows: P 功 =f(P tar2 ,Pb,Tb,Fb,Pd,Td,Fd) Among them, P 功 is the shaft power required by the steam compressor (3), and Pb, Tb, Fb, Pd, Td, and Fd are the measured data of sensor b and sensor assembly d, respectively. [Op,Of,Py]=f(P tar1 ,P tar3 ,P 功 ,Pa,Ta,Fa,Pc,Tc,Fc,Pe,Te,Fe,Cp,Cf) Wherein, Op is the opening of the electric pressure reducing valve (7), Of is the opening of the electric regulating valve (8), Py is the recommended value of the supply pressure of the steam heat source (1), Pa, Ta, Fa, Pc, Tc, Fc, Pe, Te, Fe are the measured data of sensor a, sensor component c and sensor component e respectively, Cp is the characteristic curve of the electric pressure reducing valve (7), and Cf is the characteristic curve of the electric regulating valve (8).

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