A thermal energy scheduling management method based on waste heat recovery

Abstract

The present invention relates to the field of thermal energy scheduling technology, and in particular to a thermal energy scheduling management method based on waste heat recovery, comprising: obtaining historical waste heat data of a heat source device and thermal energy usage data of each thermal energy user end; determining the waste heat type of the heat source device and the heat source area in which it is located, obtaining the user location distribution of the thermal energy user end and the corresponding heat usage type; storing the waste heat in a corresponding thermal storage system; determining the thermal energy demand type and the temperature demand type of the thermal energy user end; determining thermal energy-related characterization parameters based on the user location distribution and the thermal energy usage data, and determining the thermal energy scheduling management area in combination with the thermal energy demand type; determining the predicted thermal energy demand within the next thermal energy scheduling cycle, and scheduling the thermal energy of each thermal storage system based on the predicted thermal energy demand. The present invention helps to balance supply and demand and reduce the risk of energy surplus or shortage through intelligent thermal energy scheduling, thereby providing a more stable and reliable thermal energy supply.

Description

Technical Field

[0001] The present invention relates to the field of thermal energy scheduling, and in particular to a thermal energy scheduling management method based on waste heat recovery. Background Art

[0002] Effective management and dispatch of thermal energy has become a crucial tool for improving energy efficiency, reducing energy consumption, and minimizing environmental pollution. As the primary provider of urban heating services, heating companies face the challenge of achieving efficient production, transmission, and distribution of thermal energy through technological means. Traditional thermal energy management methods often lack accurate forecasting of user demand and flexible scheduling of thermal energy supply, leading to frequent energy waste and insufficient heating.

[0003] With the development of intelligent technology, thermal energy scheduling and management methods based on data analysis have gradually become a research hotspot. This method realizes the intelligent scheduling of thermal energy supply by collecting and analyzing relevant data on thermal energy production, transmission, and consumption, combining user demand prediction and environmental factors. However, existing thermal energy scheduling systems often fail to fully consider the diversity and dynamic changes of user needs, and fail to fully utilize energy-saving technologies such as waste heat recovery, resulting in the efficiency and effectiveness of thermal energy scheduling to be improved. Therefore, developing a thermal energy management method that can adapt to changes in user needs, fully utilize waste heat recovery, and realize intelligent scheduling is of great significance for improving thermal energy utilization efficiency, reducing energy consumption, and reducing environmental pollution. Summary of the Invention

[0004] The purpose of the present invention is to provide a heat energy scheduling and management method based on waste heat recovery, which can solve the problem of insufficient waste heat utilization in existing waste heat utilization technologies and the inability to timely schedule excess waste heat according to heat energy demand, resulting in unnecessary heat energy waste.

[0005] To this end, the present invention provides a heat energy scheduling and management method based on waste heat recovery, the heat energy scheduling and management method based on waste heat recovery comprising:

[0006] Step S1, obtaining historical waste heat data of the heat source equipment and heat energy usage data of each heat energy user;

[0007] Step S2, determining the waste heat type of the heat source equipment and the heat source area in which it is located, obtaining the user location distribution of the heat energy user end, and determining the heat usage type of each heat energy user end;

[0008] Step S3, dividing the waste heat into high-temperature waste heat and low-temperature waste heat according to the historical waste heat data, storing the high-temperature waste heat in a high-temperature heat storage system, and storing the low-temperature waste heat in a low-temperature heat storage system;

[0009] Step S4, determining the heat energy demand type of the heat energy user end according to the heat usage type of each heat energy user end in combination with the heat energy usage data, and determining the temperature demand type of the heat energy user end according to the demand data of the heat energy user end;

[0010] Step S5, determining heat energy related characterization parameters of the heat energy users according to the user location distribution of each heat energy user and the heat energy usage data of each heat energy user, and determining a heat energy scheduling management area in combination with the heat energy demand type;

[0011] Step S6, determining a heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type of the heat energy user end;

[0012] Step S7: Determine the predicted heat energy demand in the next heat energy scheduling cycle in combination with the heat energy scheduling management area and its internal heat energy scheduling sub-areas, and schedule the heat energy of each heat storage system according to the predicted heat energy demand.

[0013] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, the high-temperature heat storage system supplies heat to the heat energy user with high-temperature heating demand, and the low-temperature heat storage system supplies heat to the heat energy user with low-temperature heating demand;

[0014] The waste heat stored in the high-temperature heat storage system and the low-temperature heat storage system are converted into each other through a temperature exchange device.

[0015] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S4, the heat energy demand type of the heat energy user includes a stable heat energy demand type and a fluctuating heat energy demand type;

[0016] The temperature demand types include high temperature heating demand and low temperature heating demand;

[0017] Wherein, each of the heat energy usage ends corresponds to only one temperature requirement type.

[0018] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S5, the heat energy scheduling management area is determined according to the heat energy related characterization parameters combined with the heat energy demand type, including:

[0019] Step S51, determining the location distribution of all heat energy users corresponding to each temperature requirement type, and determining a reference heat energy user;

[0020] Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user terminal based on heat energy usage data of each non-reference heat energy user terminal of the same heat energy demand type;

[0021] Step S53, determining a distance influence factor according to the distance between each non-reference heat energy user end and the reference heat energy user end of the same heat energy demand type;

[0022] Step S54: determining heat energy related characterization parameters according to the heat energy correlation coefficient and the distance influence factor, and dividing the heat energy scheduling area.

[0023] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S54, determining the management type of the heat energy scheduling management area includes:

[0024] If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is greater than or equal to the preset related characterization parameter, the heat energy scheduling management area is a heat energy stable scheduling area;

[0025] If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is less than a preset related characterization parameter, the heat energy scheduling management area is a heat energy fluctuation scheduling area;

[0026] If the heat energy demand type is a fluctuating heat energy demand type, the heat energy scheduling management area is a heat energy fluctuating scheduling area.

[0027] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S6, determining the heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type includes:

[0028] Obtaining the temperature demand type of each heat energy user in a single heat energy scheduling area;

[0029] Determine the boundary line of the heat energy scheduling sub-area according to the user location of the user terminal with different temperature demand types;

[0030] A heat energy scheduling sub-area in a single heat energy scheduling management area is determined according to the heat energy scheduling sub-area boundary line.

[0031] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S7, the predicted heat energy demand in the next heat energy scheduling cycle is determined based on the heat energy scheduling management area and its internal heat energy scheduling sub-areas, including:

[0032] If the heat energy scheduling management area is a stable heat energy scheduling management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy scheduling cycle based on the historical heat energy usage data;

[0033] If the thermal energy scheduling management area is a fluctuating thermal energy scheduling management area, the thermal energy demand prediction method is to determine the expected fluctuating thermal energy demand of each thermal energy scheduling sub-area in the next thermal energy scheduling cycle based on historical thermal energy data and the total number of thermal energy demand fluctuation factors.

[0034] As a preferred technical solution for the heat energy scheduling management method based on waste heat recovery, directly predicting the expected stable heat energy demand for the next heat energy scheduling cycle based on the historical heat energy usage data includes:

[0035] If the heat energy usage data of the stable heat energy scheduling management area is within the corresponding stable usage interval, the estimated stable heat energy demand of the current stable heat energy scheduling management area in the next heat energy scheduling cycle is determined according to the estimated stable heat energy of all heat energy users, and the estimated stable heat energy is the maximum value of the corresponding stable usage interval;

[0036] If the consumption trend of the thermal energy usage data of the stable thermal energy scheduling management area is the same, the estimated stable thermal energy demand of the current stable thermal energy scheduling management area in the next thermal energy scheduling cycle is obtained based on the thermal energy usage data and corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

[0037] As a preferred technical solution for the heat energy scheduling management method based on waste heat recovery, the estimated fluctuating heat energy demand of each heat energy scheduling sub-area in the next heat energy scheduling cycle is determined based on the historical heat energy data and the total number of heat energy demand fluctuation factors, including:

[0038] Determine the total number of heat energy demand fluctuation factors for the next heat energy scheduling management cycle;

[0039] The expected fluctuating heat energy demand is determined based on the historical heat energy usage data of the heat energy fluctuation scheduling area and the difference between the total number of heat energy demand fluctuation factors in the next heat energy scheduling management cycle and the total number of heat energy demand fluctuation factors in the heat energy scheduling management cycle of the same historical time.

[0040] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S7, scheduling the heat energy of each heat storage system according to the predicted heat energy demand includes:

[0041] Matching the high-temperature predicted heat energy demand and the low-temperature predicted heat energy demand corresponding to each heat energy scheduling management area with the high-temperature waste heat stored in the high-temperature heat storage system and the low-temperature waste heat stored in the low-temperature heat storage system in the nearest heat source area;

[0042] Calculate the difference in high-temperature heat energy demand and low-temperature heat energy demand based on the matching results;

[0043] The heat energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature heat energy demand difference and the low-temperature heat energy demand difference.

[0044] The beneficial effects of the present invention are:

[0045] The present invention's refined thermal energy demand analysis and forecasting optimizes the thermal energy production and distribution process. Based on real-time data and historical trends, thermal energy scheduling strategies can be dynamically adjusted to accommodate the thermal energy demand patterns of different user groups. This not only improves the efficiency of thermal energy utilization but also enhances the economy and sustainability of the heating system by reducing losses during thermal energy transmission. Furthermore, intelligent thermal energy scheduling helps balance supply and demand, reducing the risk of energy surpluses or shortages, thereby providing a more stable and reliable thermal energy supply. The present invention improves the efficiency of waste heat utilization while reducing heating costs and enhancing the flexibility of the scheduling system.

[0046] In particular, this invention divides the areas within the heating supply range into stable and fluctuating zones, which improves the flexibility and adaptability of heat scheduling, ensuring a more precise match between heat supply and demand, reducing energy waste, and improving energy efficiency. Furthermore, by adopting differentiated management strategies for different regions, the corresponding heat demand in different areas can be better met, improving heat supply efficiency. Furthermore, refined heat scheduling management helps reduce operating costs by predicting and adjusting heat supply, thereby reducing unnecessary energy consumption.

[0047] In particular, determining the thermal energy scheduling sub-areas within a single thermal energy scheduling management area based on the boundary lines of the thermal energy scheduling sub-areas makes thermal energy scheduling management more refined and efficient. The clear division of sub-areas allows for the development of more precise scheduling strategies based on the characteristics and scale of thermal energy demand in each sub-area during the thermal energy scheduling management process. For different sub-areas, the operating parameters of the heating equipment can be adjusted according to their demand characteristics, and the distribution and conversion of recovered heat energy can be reasonably arranged. For sub-areas where industrial heat use is concentrated, the heat supply can be increased during peak production periods; for sub-areas where residential heat use is the main source, heat energy can be allocated according to the residents' daily routines. This type of scheduling management can effectively improve the heating quality of the entire thermal energy scheduling management area, improve energy utilization efficiency, reduce operating costs, and achieve optimal allocation of thermal energy resources.

[0048] In particular, by accurately matching the high-temperature and low-temperature thermal energy demands of each thermal energy scheduling and management area with the waste heat storage capacity of the high-temperature and low-temperature heat storage systems in the nearest heat source area, efficient utilization and optimized scheduling of thermal energy are achieved, which can significantly improve energy utilization efficiency and reduce energy waste. In addition, the thermal energy in the high-temperature and low-temperature heat storage systems is intelligently scheduled to meet the thermal energy demands of different areas. In addition, the present invention takes into account the situation where a heat source area may correspond to multiple thermal energy scheduling and management areas, and determines the specific method of thermal energy scheduling by calculating the sum of the thermal energy demands of each area after matching, as well as the difference between the high-temperature and low-temperature thermal energy demands. It can not only balance the thermal energy supply and demand of different areas, but also achieve cross-regional scheduling of thermal energy through the temperature control device when the thermal energy demand varies greatly, thereby ensuring the stable operation and supply and demand balance of the entire thermal energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 Schematic diagram of the flow of a heat energy scheduling management method based on waste heat recovery in an embodiment of the present invention;

[0050] Figure 2 Flowchart of a heat energy scheduling management method based on waste heat recovery in an embodiment of the present invention;

[0051] Figure 3 This is a flow chart for determining a thermal energy scheduling management area in an embodiment of the present invention;

[0052] Figure 4 This is a logic diagram for determining the management type of a thermal energy scheduling management area in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. 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.

[0054] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0055] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0056] See also Figure 1 and Figure 2 As shown, Figure 1 FIG. 1 is a flow chart of a heat energy scheduling management method based on waste heat recovery in an embodiment of the present invention. Figure 2 Flowchart of a heat energy scheduling and management method based on waste heat recovery in an embodiment of the present invention; The present invention provides a heat energy scheduling and management method based on waste heat recovery, comprising:

[0057] Step S1, obtaining historical waste heat data of the heat source equipment and heat energy usage data of each heat energy user;

[0058] Step S2, determining the waste heat type of the heat source equipment and the heat source area in which it is located, obtaining the user location distribution of the heat energy user end, and determining the heat usage type of each heat energy user end;

[0059] Step S3, dividing the waste heat into high-temperature waste heat and low-temperature waste heat according to the historical waste heat data, storing the high-temperature waste heat in a high-temperature heat storage system, and storing the low-temperature waste heat in a low-temperature heat storage system;

[0060] Step S4, determining the heat energy demand type of the heat energy user end according to the heat usage type of each heat energy user end in combination with the heat energy usage data, and determining the temperature demand type of the heat energy user end according to the demand data of the heat energy user end;

[0061] Step S5, determining heat energy related characterization parameters of the heat energy users according to the user location distribution of each heat energy user and the heat energy usage data of each heat energy user, and determining a heat energy scheduling management area in combination with the heat energy demand type;

[0062] Step S6, determining a heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type of the heat energy user end;

[0063] Step S7: Determine the predicted heat energy demand in the next heat energy scheduling cycle in combination with the heat energy scheduling management area and its internal heat energy scheduling sub-areas, and schedule the heat energy of each heat storage system according to the predicted heat energy demand.

[0064] In implementation, heat source equipment can be industrial boilers, thermal power plants and other equipment that can generate and recover heat sources; heat use types include industrial heat, commercial heat and residential heat; historical waste heat data includes waste heat generation, waste heat temperature, thermal energy and other information; heat energy usage data includes heat energy usage and heat energy demand time.

[0065] To collect heat usage data at each heat-consuming end, for industrial users, high-precision temperature sensors, thermal energy sensors, and pressure sensors can be installed at key points in the production line (such as boilers and reactors) to monitor heat consumption in real time. For commercial users, smart heat meters (such as ultrasonic heat meters) can be installed in central air-conditioning systems and hot water supply pipes to record heat consumption per unit time. For residential users, smart heat meters can be installed in household heating pipes to collect real-time supply and return water temperature, heat energy, and accumulated heat. For example, LoRa or NB-IoT communication technologies can be used to upload data to a cloud platform. This is conventional technology and is not specifically limited.

[0066] Specifically, temperature sensors and heat meters monitor the temperature range and heat energy of heat source equipment in real time. High-temperature flue gas waste heat and low-temperature condensate waste heat are collected and fed into the heat storage system in stages. The high-temperature flue gas waste heat is recovered through a heat exchanger and stored in the high-temperature heat storage system using high-temperature phase change materials or high-temperature water tanks. The low-temperature condensate waste heat is raised in temperature using absorption heat pumps or heat pipes before being stored in the low-temperature heat storage system. During storage in the corresponding heat storage system, the conversion of low-temperature heat energy to high-temperature heat energy is completed through a temperature control device, enabling faster provision of supplemental heat energy when high-temperature heat demand is high to ensure heating demand.

[0067] The present invention's refined thermal energy demand analysis and forecasting optimizes the thermal energy production and distribution process. Based on real-time data and historical trends, thermal energy scheduling strategies can be dynamically adjusted to accommodate the thermal energy demand patterns of different user groups. This not only improves the efficiency of thermal energy utilization but also enhances the economy and sustainability of the heating system by reducing losses during thermal energy transmission. Furthermore, intelligent thermal energy scheduling helps balance supply and demand, reducing the risk of energy surpluses or shortages, thereby providing a more stable and reliable thermal energy supply. The present invention improves the efficiency of waste heat utilization while reducing heating costs and enhancing the flexibility of the scheduling system.

[0068] Specifically, the high-temperature heat storage system supplies heat to the heat energy user with high-temperature heat demand, and the low-temperature heat storage system supplies heat to the heat energy user with low-temperature heat demand;

[0069] The waste heat stored in the high-temperature heat storage system and the low-temperature heat storage system are converted into each other through a temperature exchange device.

[0070] In practice, waste heat is recovered from heat source equipment through waste heat recovery devices, such as heat exchangers, absorption heat pumps, and heat pipes. Heat exchangers recover waste heat from high-temperature flue gas and transfer it to cold water or other media to produce hot water or steam. Absorption heat pumps utilize low-grade thermal energy to extract heat from low-temperature heat sources (such as waste heat from condensed water), raising its temperature for utilization. Heat pipes, with their efficient heat transfer properties, rapidly recover waste heat.

[0071] Build supporting high- and low-temperature heat storage systems, using appropriate heat storage media (such as water and phase change materials). The high-temperature heat storage system stores high-temperature waste heat to meet high-temperature heating needs; the low-temperature heat storage system stores low-temperature waste heat for low-temperature heating scenarios such as preheating. Rationally design the capacity and structure of the heat storage system based on the amount of waste heat generated and fluctuations in user demand to ensure stable operation, storing heat when excess waste heat is generated and releasing it during peak demand.

[0072] In addition, the waste heat stored in the high-temperature heat storage system and the low-temperature heating demand can be converted into each other through a temperature exchange device. The temperature exchange device is either a heat exchanger or a heat converter, without specific limitation, which facilitates the provision of heat energy according to demand at a wider speed, avoids the process of heating the raw materials from the initial state, and further ensures the efficiency of heat energy supply.

[0073] Specifically, in step S4, the heat energy demand type of the heat energy user includes a stable heat energy demand type and a fluctuating heat energy demand type;

[0074] The temperature demand types include high temperature heating demand and low temperature heating demand;

[0075] Wherein, each of the heat energy usage ends corresponds to only one temperature requirement type.

[0076] It can be understood that users are divided into stable heat energy demand type and fluctuating heat energy demand type according to their heat usage characteristics and needs.

[0077] For industrial users, those with stable production processes and small fluctuations in heat demand are classified as the stable heat user group; those with seasonal production or those that are greatly affected by the market and have large fluctuations in heat demand are classified as the fluctuating heat user group.

[0078] Commercial and residential users are also classified according to this principle. For example, commercial centers and office buildings have stable heat consumption on weekdays and can be regarded as stable heat consumption groups; commercial users and residential users around tourist attractions are affected by the seasons and tourists' heat energy, and their heat consumption fluctuates greatly, so they are classified as fluctuating heat consumption groups.

[0079] See also Figure 3As shown, it is a flow chart of determining the heat energy scheduling management area in an embodiment of the present invention. In the step S5, the heat energy scheduling management area is determined according to the heat energy related characterization parameters combined with the heat energy demand type, including:

[0080] Step S51, determining the location distribution of all heat energy users corresponding to each temperature requirement type, and determining a reference heat energy user;

[0081] Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user terminal based on heat energy usage data of each non-reference heat energy user terminal of the same heat energy demand type;

[0082] Step S53, determining a distance influence factor according to the distance between each non-reference heat energy user end and the reference heat energy user end of the same heat energy demand type;

[0083] Step S54: determining heat energy related characterization parameters according to the heat energy correlation coefficient and the distance influence factor, and dividing the heat energy scheduling area.

[0084] During implementation, in all areas covered by the thermal energy storage system, various building types are determined, such as hospitals, residential buildings, industrial parks, etc., and building areas are determined based on the building types. A reference thermal energy user end is selected in the center of each building area. The reference thermal energy user end can be any thermal energy user end located in the center of the building area.

[0085] The distance impact factor is determined based on the ratio of the distance between the non-reference heat energy user end and the reference heat energy user end to the standard distance. The standard geographical distance is the average distance from the reference heat energy user end to the edge of the building area.

[0086] The thermal energy correlation coefficient is determined according to the following formula:

[0087] , where xi and yi are the heat energy usage data of the two heat energy users on the i-th day, 、 is the average value of the heat energy usage data of the two users in the corresponding heat energy scheduling period, i is an integer greater than 0, n is the total number of days included in the heat energy scheduling period, and the heat energy correlation coefficient is [0,1].

[0088] The thermal energy correlation parameter is the product of the thermal energy correlation coefficient and the distance influence factor.

[0089] See also Figure 4 As shown, it is a logic diagram for determining the management type of the thermal energy scheduling management area in an embodiment of the present invention. In the step S54, determining the management type of the thermal energy scheduling management area includes:

[0090] If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is greater than or equal to the preset related characterization parameter, the heat energy scheduling management area is a heat energy stable scheduling area;

[0091] If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is less than a preset related characterization parameter, the heat energy scheduling management area is a heat energy fluctuation scheduling area;

[0092] If the heat energy demand type is a fluctuating heat energy demand type, the heat energy scheduling management area is a heat energy fluctuating scheduling area.

[0093] In the implementation, the preset relevant characterization parameters are selected in the interval [0.9, 1.1];

[0094] The method for determining the boundary of the heat energy scheduling management area is to determine the heat energy user terminals that comply with the same heat energy scheduling management area as the boundary of the corresponding heat energy scheduling management area.

[0095] It is understandable that in heat energy scheduling management, by distinguishing the stability of heat energy demand and the magnitude of relevant characteristic parameters to determine the type of heat energy scheduling management area, more reasonable scheduling measures can be adopted based on the heat energy demand characteristics of different areas. For stable heat energy demand, if the relevant heat energy characteristic parameters are greater than or equal to the preset value, it indicates that the heat energy demand in the area is relatively stable, and it can be classified as a stable heat energy scheduling area, thereby implementing long-term planning and stable heat energy supply strategies. Conversely, if the relevant characteristic parameters are less than the preset value, even if the demand type itself is stable, it is classified as a fluctuating heat energy scheduling area, so that more flexible scheduling measures can be adopted to cope with possible demand fluctuations. For areas with inherently fluctuating heat energy demand, they are directly classified as fluctuating heat energy scheduling areas to achieve rapid response and adjustment to demand fluctuations.

[0096] It can be understood that the scope of the fluctuating flow thermal energy scheduling and management area is larger. When determining the management type of the thermal energy scheduling and management area, the types of thermal energy use ends contained in each thermal energy scheduling and management area are not the same. For the stable thermal energy management area, the number of stable thermal energy demand type use ends accounts for the largest proportion, while for the fluctuating thermal energy management area, the proportion of each type of thermal energy use end contained therein can be any proportion.

[0097] This invention divides the areas within the heating supply range into stable and fluctuating zones, improving the flexibility and adaptability of heat scheduling, ensuring a more precise match between heat supply and demand, reducing energy waste, and improving energy efficiency. Furthermore, by adopting differentiated management strategies for different regions, the corresponding heat demand in different areas can be better met, improving heat supply efficiency. Furthermore, refined heat scheduling management helps reduce operating costs by predicting and adjusting heat supply, thereby reducing unnecessary energy consumption.

[0098] Specifically, in step S6, determining the heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type includes:

[0099] Obtaining the temperature demand type of each heat energy user in a single heat energy scheduling area;

[0100] Determine the boundary line of the heat energy scheduling sub-area according to the user location of the user terminal with different temperature demand types;

[0101] A heat energy scheduling sub-area in a single heat energy scheduling management area is determined according to the heat energy scheduling sub-area boundary line.

[0102] In implementation, the boundaries of heat dispatch sub-regions are determined based on the location of users with different heat demand types, taking into account the spatial distribution and demand differences of heat users in real-world situations. Grouping users with similar heat demand types and close locations within the same heat dispatch sub-region reduces losses during heat transmission. Because heat loss occurs over distance during transmission, users in similar locations can share a more efficient heat transmission network.

[0103] For example, commercial users concentrated in a particular neighborhood can be divided into a heat dispatch sub-area, where appropriate heating facilities and dispatch plans can be configured specifically for each area. This avoids heat losses caused by long-distance transmission due to dispersed users. This division also facilitates targeted heat dispatch management based on the common needs of users within the sub-area, improving the reliability and stability of heat supply and better meeting their heating needs.

[0104] In the present invention, the thermal energy scheduling sub-area in a single thermal energy scheduling management area is determined according to the boundary line of the thermal energy scheduling sub-area, so that the thermal energy scheduling management is more refined and efficient. The clear sub-area division allows the thermal energy scheduling management process to formulate more precise scheduling strategies based on the thermal energy demand characteristics and scale of each sub-area. For different sub-areas, the operating parameters of the heating equipment can be adjusted according to their demand characteristics, and the distribution and conversion of recovered heat energy can be reasonably arranged. For sub-areas where industrial heat is concentrated, the heat supply is increased during the peak production period; for sub-areas where residential heat is mainly used, heat energy is allocated according to the residents' daily routines. This scheduling management can effectively improve the heating quality of the entire thermal energy scheduling management area, improve energy utilization efficiency, reduce operating costs, and achieve optimal allocation of thermal energy resources.

[0105] Specifically, in step S7, determining the predicted heat demand in the next heat scheduling cycle based on the heat scheduling management area and its internal heat scheduling sub-areas includes:

[0106] If the heat energy scheduling management area is a stable heat energy scheduling management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy scheduling cycle based on the historical heat energy usage data;

[0107] If the thermal energy scheduling management area is a fluctuating thermal energy scheduling management area, the thermal energy demand prediction method is to determine the expected fluctuating thermal energy demand of each thermal energy scheduling sub-area in the next thermal energy scheduling cycle based on historical thermal energy data and the total number of thermal energy demand fluctuation factors.

[0108] Specifically, directly predicting the expected stable heat energy demand in the next heat energy scheduling period based on the historical heat energy usage data includes:

[0109] If the heat energy usage data of the stable heat energy scheduling management area is within the corresponding stable usage interval, the estimated stable heat energy demand of the current stable heat energy scheduling management area in the next heat energy scheduling cycle is determined according to the estimated stable heat energy of all heat energy users, and the estimated stable heat energy is the maximum value of the corresponding stable usage interval;

[0110] If the consumption trend of the thermal energy usage data of the stable thermal energy scheduling management area is the same, the estimated stable thermal energy demand of the current stable thermal energy scheduling management area in the next thermal energy scheduling cycle is obtained based on the thermal energy usage data and corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

[0111] During implementation, each stable thermal energy scheduling management area determines the expected stable thermal energy demand, including high-temperature expected stable thermal energy demand and low-temperature expected stable thermal energy demand, and calculates the thermal energy user end of the applied heat type separately when making predictions.

[0112] The upper limit of the stable usage interval is 1.1 times the average value of the heat energy usage data of the heat energy user end of the heat type, and the lower limit of the stable usage interval is 0.9 times the average value of the heat energy usage data of the heat energy user end of the heat type;

[0113] The change trend of the heat energy usage data is determined based on the change rate of the heat energy usage data in several consecutive heat energy scheduling cycles. The change rate of the heat energy usage data is determined based on the coefficient of the linear regression equation between the heat energy usage data and time at the end of several heat energy scheduling cycles. The regression equation is determined using the least squares method. When the determination coefficient of the regression equation is greater than 0.85, it is determined that the change rate of the heat energy usage data is within the allowable change rate range.

[0114] Generally, when the coefficient of determination of a regression equation is greater than 0.8, the regression equation is considered to have good regressivity. The present invention determines that the rate of change of consumption data is within the allowable range when the regression coefficient is greater than 0.85, which further improves the regressivity requirements for thermal energy usage data, making the results predicted by the regression equation closer to the actual value, thereby improving the accuracy of the final prediction results and improving the quality of thermal energy management.

[0115] Specifically, determining the expected fluctuating heat energy demand of each heat energy scheduling sub-region in the next heat energy scheduling cycle according to the historical heat energy data and the total number of heat energy demand fluctuation factors includes:

[0116] Determine the total number of heat energy demand fluctuation factors for the next heat energy scheduling management cycle;

[0117] The expected fluctuating heat energy demand is determined based on the historical heat energy usage data of the heat energy fluctuation scheduling area and the difference between the total number of heat energy demand fluctuation factors in the next heat energy scheduling management cycle and the total number of heat energy demand fluctuation factors in the heat energy scheduling management cycle of the same historical time.

[0118] In practice, the heat demand fluctuation factor can be directly calculated based on the dates included in the heat management cycle and determined in combination with weather changes in the next heat scheduling management cycle;

[0119] The heat demand fluctuation factor can be any date different from regular working days, such as holidays or weekends, or it can be an indicator that can cause a large fluctuation in heat demand (an increase or decrease of more than 20%), such as a sudden temperature increase or decrease of 5°C or a wind speed change of more than level 3.

[0120] The expected heat energy usage impact of a single heat energy demand fluctuation factor is determined based on the historical heat energy usage data of several historical heat energy scheduling and management cycles and the corresponding total number of heat energy demand fluctuation factors. When determining the expected fluctuating heat energy demand for the next heat energy scheduling and management cycle, the difference between the total number of heat energy demand fluctuation factors in the next heat energy management cycle and the total number of historical heat energy demand fluctuation factors is calculated to determine the expected fluctuating heat energy change value, and then combined with the historical heat energy usage data of the fluctuating heat energy management area to obtain the expected fluctuating heat energy demand.

[0121] Each fluctuating heat energy scheduling management area determines the expected fluctuating heat energy demand, including high-temperature expected fluctuating heat energy demand and low-temperature expected fluctuating heat energy demand, and calculates the heat energy user end of the applied heat type separately when making predictions.

[0122] Specifically, in step S7, scheduling the heat energy of each heat storage system according to the predicted heat energy demand includes:

[0123] Matching the high-temperature predicted heat energy demand and the low-temperature predicted heat energy demand corresponding to each heat energy scheduling management area with the high-temperature waste heat stored in the high-temperature heat storage system and the low-temperature waste heat stored in the low-temperature heat storage system in the nearest heat source area;

[0124] Calculate the difference in high-temperature heat energy demand and low-temperature heat energy demand based on the matching results;

[0125] The heat energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature heat energy demand difference and the low-temperature heat energy demand difference.

[0126] In implementation, the heat source area can correspond to multiple heat energy scheduling and management areas, and matching is performed to determine all heat energy scheduling and management areas corresponding to a single heat source area, and at the same time, the sum of the high-temperature predicted heat energy demand and the sum of the low-temperature predicted heat energy demand of all heat energy scheduling and management areas after matching are settled.

[0127] The high-temperature heat energy demand difference is obtained by subtracting the total amount of high-temperature waste heat from the sum of the matched high-temperature predicted heat energy demand, and the low-temperature heat energy demand difference is obtained by subtracting the total amount of low-temperature waste heat from the sum of the matched low-temperature predicted heat energy demand.

[0128] If the difference in high-temperature heat energy demand is positive and the difference in low-temperature heat energy demand is negative, the heat energy in the high-temperature heat storage system will be cooled by the temperature control device and dispatched to the low-temperature heat storage system for storage. If the difference in high-temperature heat energy demand is negative and the difference in low-temperature heat energy demand is positive, the heat energy in the low-temperature heat storage system will be heated by the temperature control device and dispatched to the high-temperature heat storage system for storage. If both the difference in high-temperature heat energy demand and the difference in low-temperature heat energy demand are positive, heat energy will be dispatched to areas within other heat source areas that are undercompensated.

[0129] In the present invention, by accurately matching the high-temperature and low-temperature thermal energy demands of each thermal energy scheduling and management area with the waste heat storage capacity of the high-temperature and low-temperature heat storage systems in the nearest heat source area, efficient utilization and optimized scheduling of thermal energy are achieved, which can significantly improve energy utilization efficiency and reduce energy waste. In addition, the thermal energy in the high-temperature and low-temperature heat storage systems is intelligently scheduled to meet the thermal energy demands of different areas. In addition, the present invention takes into account the situation where a heat source area may correspond to multiple thermal energy scheduling and management areas, and determines the specific method of thermal energy scheduling by calculating the sum of the thermal energy demands of each area after matching, as well as the difference between the high-temperature and low-temperature thermal energy demands. Not only can it balance the thermal energy supply and demand of different areas, but it can also achieve cross-regional scheduling of thermal energy through the temperature control device when the thermal energy demand varies greatly, thereby ensuring the stable operation and supply and demand balance of the entire thermal energy system.

[0130] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions and operations of the devices, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of the code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, as well as the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based device that performs the specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0131] Obviously, the above embodiments of the present invention are merely examples for the purpose of clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. A person skilled in the art would be able to make other variations or modifications based on the above description. It is not necessary and impossible to enumerate all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the claims of the present invention.

Claims

1. A heat energy scheduling management method based on waste heat recovery, characterized in that: include; Step S1, obtaining historical waste heat data of the heat source equipment and heat energy usage data of each heat energy user; Step S2: determining the waste heat type of the heat source equipment and the heat source area in which it is located, obtaining the user location distribution of the heat energy user end, and determining the heat usage type of each heat energy user end, wherein the heat usage type includes industrial heat usage, commercial heat usage, and residential heat usage; Step S3, dividing the waste heat into high-temperature waste heat and low-temperature waste heat according to the historical waste heat data, storing the high-temperature waste heat in a high-temperature heat storage system, and storing the low-temperature waste heat in a low-temperature heat storage system; Step S4, determining the heat energy demand type of the heat energy user end according to the heat usage type of each heat energy user end in combination with the heat energy usage data, and determining the temperature demand type of the heat energy user end according to the demand data of the heat energy user end; Step S5, determining heat energy related characterization parameters of the heat energy users according to the user location distribution of each heat energy user and the heat energy usage data of each heat energy user, and determining a heat energy scheduling management area in combination with the heat energy demand type; Step S6, determining a heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type of the heat energy user end; Step S7, determining the predicted heat energy demand in the next heat energy scheduling cycle in combination with the heat energy scheduling management area and its internal heat energy scheduling sub-areas, and scheduling the heat energy of each heat storage system according to the predicted heat energy demand; In the step S4, the heat energy demand type of the heat energy user includes a stable heat energy demand type and a fluctuating heat energy demand type; The temperature demand types include high temperature heating demand and low temperature heating demand; Wherein, each of the heat energy consumption ends corresponds to only one temperature demand type; In step S5, determining the heat energy scheduling management area according to the heat energy related characterization parameters combined with the heat energy demand type includes: Step S51, determining the location distribution of all heat energy users corresponding to each temperature requirement type, and determining a reference heat energy user; Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user terminal based on heat energy usage data of each non-reference heat energy user terminal of the same heat energy demand type; Step S53, determining a distance influence factor according to the distance between each non-reference heat energy user end and the reference heat energy user end of the same heat energy demand type; Step S54: determining heat energy related characterization parameters according to the heat energy correlation coefficient and the distance influence factor, and dividing the heat energy scheduling area.

2. The heat energy scheduling and management method based on waste heat recovery according to claim 1 is characterized in that: The high-temperature heat storage system supplies heat to the heat energy user with high-temperature heat demand, and the low-temperature heat storage system supplies heat to the heat energy user with low-temperature heat demand; The waste heat stored in the high-temperature heat storage system and the low-temperature heat storage system are converted into each other through a temperature exchange device.

3. The heat energy scheduling and management method based on waste heat recovery according to claim 2 is characterized in that: In step S54, determining the management type of the thermal energy scheduling management area includes: If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is greater than or equal to the preset related characterization parameter, the heat energy scheduling management area is a heat energy stable scheduling area; If the heat energy demand type is a stable heat energy demand type, and the heat energy related characterization parameter is less than a preset related characterization parameter, the heat energy scheduling management area is a heat energy fluctuation scheduling area; If the heat energy demand type is a fluctuating heat energy demand type, the heat energy scheduling management area is a heat energy fluctuating scheduling area.

4. The heat energy scheduling and management method based on waste heat recovery according to claim 3 is characterized in that: In step S6, determining the heat energy scheduling sub-area in each heat energy scheduling management area according to the temperature demand type includes: Obtaining the temperature demand type of each heat energy user in a single heat energy scheduling area; Determine the boundary line of the heat energy scheduling sub-area according to the user location of the user terminal with different temperature demand types; A heat energy scheduling sub-area in a single heat energy scheduling management area is determined according to the heat energy scheduling sub-area boundary line.

5. The heat energy scheduling and management method based on waste heat recovery according to claim 4 is characterized in that: In step S7, the predicted heat demand in the next heat scheduling cycle is determined based on the heat scheduling management area and its internal heat scheduling sub-areas, including: If the heat energy scheduling management area is a stable heat energy scheduling management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy scheduling cycle based on the historical heat energy usage data; If the thermal energy scheduling management area is a fluctuating thermal energy scheduling management area, the thermal energy demand prediction method is to determine the expected fluctuating thermal energy demand of each thermal energy scheduling sub-area in the next thermal energy scheduling cycle based on historical thermal energy data and the total number of thermal energy demand fluctuation factors.

6. The heat energy scheduling and management method based on waste heat recovery according to claim 5 is characterized in that: The estimated stable heat energy demand for the next heat energy dispatch period is directly predicted based on the historical heat energy usage data, including: If the heat energy usage data of the stable heat energy scheduling management area is within the corresponding stable usage interval, the estimated stable heat energy demand of the current stable heat energy scheduling management area in the next heat energy scheduling cycle is determined according to the estimated stable heat energy of all heat energy users, and the estimated stable heat energy is the maximum value of the corresponding stable usage interval; If the consumption trend of the thermal energy usage data of the stable thermal energy scheduling management area is the same, the estimated stable thermal energy demand of the current stable thermal energy scheduling management area in the next thermal energy scheduling cycle is obtained based on the thermal energy usage data and corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

7. The heat energy scheduling and management method based on waste heat recovery according to claim 6 is characterized in that: Determining the estimated fluctuating heat energy demand of each heat energy scheduling sub-region in the next heat energy scheduling cycle based on the historical heat energy data and the total number of heat energy demand fluctuation factors includes: Determine the total number of heat energy demand fluctuation factors for the next heat energy scheduling management cycle; The expected fluctuating heat energy demand is determined based on the historical heat energy usage data of the heat energy fluctuation scheduling area and the difference between the total number of heat energy demand fluctuation factors in the next heat energy scheduling management cycle and the total number of heat energy demand fluctuation factors in the heat energy scheduling management cycle of the same historical time.

8. The heat energy scheduling and management method based on waste heat recovery according to claim 7 is characterized in that: In step S7, scheduling the heat energy of each heat storage system according to the predicted heat energy demand includes: Matching the high-temperature predicted heat energy demand and the low-temperature predicted heat energy demand corresponding to each heat energy scheduling management area with the high-temperature waste heat stored in the high-temperature heat storage system and the low-temperature waste heat stored in the low-temperature heat storage system in the nearest heat source area; Calculate the difference in high-temperature heat energy demand and low-temperature heat energy demand based on the matching results; The heat energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature heat energy demand difference and the low-temperature heat energy demand difference.

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