Heat energy dispatching management method based on waste heat recovery

Abstract

The invention relates to the technical field of heat energy dispatching, in particular to a heat energy dispatching management method based on waste heat recovery, which comprises the following steps: acquiring historical waste heat data of heat source equipment and heat energy use data of each heat energy use end; determining a waste heat type of heat source equipment and a heat source area where the heat source equipment is located, and obtaining user position distribution of a heat energy use end and a corresponding heat use type; the waste heat is stored in a corresponding heat storage system; determining a heat energy demand type and a temperature demand type of the heat energy use end; heat energy related characterization parameters are determined according to the user position distribution and the heat energy use data, and a heat energy dispatching management area is determined in combination with the heat energy demand type; according to the intelligent heat energy dispatching method and system, through intelligent heat energy dispatching, supply and demand balance is facilitated, the risk of energy excess or shortage is reduced, and therefore more stable and reliable heat energy supply is provided.

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 an important means to improve energy efficiency, reduce energy consumption and reduce environmental pollution. As the main provider of urban heating services, thermal power companies are faced with the challenge of how to achieve efficient production, transmission and distribution of thermal energy through technical means. Traditional thermal energy management methods often lack accurate prediction of user needs and flexible dispatch of thermal energy supply, resulting in frequent energy waste and insufficient heating.

[0003] With the development of intelligent technology, thermal energy scheduling management methods based on data analysis have gradually become a research hotspot. This method realizes intelligent scheduling of thermal energy supply by collecting and analyzing relevant data on thermal energy production, transmission and consumption, combined with 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 make full use of energy-saving technologies such as waste heat recovery, resulting in the need to improve the efficiency and effect of thermal energy scheduling. Therefore, developing a thermal energy management method that can adapt to changes in user needs, make full use of 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 management method based on waste heat recovery, which can solve the problem of insufficient waste heat utilization in existing waste heat utilization technology and failure 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 management method based on waste heat recovery, and the heat energy scheduling management method based on waste heat recovery includes: 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 where it is located, obtaining the user location distribution of the heat energy user end, and determining the heat type of each heat energy user end; 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 demand type of the heat energy user end according to the heat use type of each heat energy user end in combination with the heat energy use 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 user end according to the user location distribution of each heat energy user end and the heat energy usage data of each heat energy user end, and determining the heat energy scheduling management area in combination with the heat energy demand type; Step S6, determining the heat energy scheduling sub-area in each of the heat energy scheduling management areas according to the temperature demand type of the heat energy user end; Step S7, determining the predicted thermal energy demand in the next thermal energy scheduling cycle in combination with the thermal energy scheduling management area and its internal thermal energy scheduling sub-areas, and scheduling the thermal energy of each heat storage system according to the predicted thermal energy demand.

[0006] 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 end with high-temperature heating demand, and the low-temperature heat storage system supplies heat to the heat energy user end with low-temperature heating demand; Wherein, 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.

[0007] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, 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; Among them, each of the heat energy usage ends corresponds to only one temperature requirement type.

[0008] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, 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: Step S51, determining the position distribution of all heat energy usage ends corresponding to each temperature requirement type, and determining a reference heat energy usage end; Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user end according to heat energy usage data of each non-reference heat energy user end of the same heat energy demand type; Step S53, determining a distance influence factor according to the distance between each of the non-reference heat energy usage ends and the reference heat energy usage end in 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.

[0009] 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: 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 the 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.

[0010] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, in step S6, the heat energy scheduling sub-area in each heat energy scheduling management area is determined according to the temperature demand type, including: 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 thermal energy scheduling sub-area in a single thermal energy scheduling management area is determined according to the thermal energy scheduling sub-area boundary line.

[0011] 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: If the heat energy dispatch management area is a stable heat energy dispatch management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy dispatch 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 estimated 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.

[0012] As a preferred technical solution of the heat energy scheduling management method based on waste heat recovery, directly predicting the expected stable heat energy demand in the next heat energy scheduling cycle according to the historical heat energy usage data includes: 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 the corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

[0013] As a preferred technical solution of 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 according to the historical heat energy data and the total number of heat energy demand fluctuation factors, including: Determine the total number of heat demand fluctuation factors for the next heat dispatch management cycle; The expected fluctuating heat demand is determined based on the historical heat usage data of the heat fluctuation scheduling area and the difference between the total number of heat demand fluctuation factors in the next heat scheduling management cycle and the total number of heat demand fluctuation factors in the heat scheduling management cycle of the same historical time.

[0014] 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: Matching the high-temperature predicted heat demand and the low-temperature predicted heat demand of each heat energy dispatch 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 high temperature heat energy demand difference and the low temperature heat energy demand difference according to the matching results; The thermal energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature thermal energy demand difference and the low-temperature thermal energy demand difference.

[0015] The beneficial effects of the present invention are: The present invention refines the analysis and prediction of thermal energy demand and optimizes the thermal energy production and distribution process. It can dynamically adjust the thermal energy scheduling strategy based on real-time data and historical trends to adapt to the thermal energy demand patterns of different user groups. It 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. In addition, intelligent thermal energy scheduling helps to balance supply and demand and reduce the risk of energy surplus or shortage, thereby providing a more stable and reliable thermal energy supply. The present invention improves the efficiency of waste heat use, while reducing heating costs and enhancing the flexibility of the scheduling system.

[0016] In particular, the present invention divides the areas within the heating range into stable areas and fluctuating areas, which can improve the flexibility and adaptability of heat energy scheduling, ensure a more accurate match between heat energy supply and demand, reduce energy waste, and improve energy utilization efficiency. At the same time, by adopting differentiated management strategies for different areas, the corresponding heat energy needs of different regions can be better met and the heat energy supply efficiency can be improved. In addition, refined heat energy scheduling management can also help reduce operating costs and reduce unnecessary energy consumption by predicting and adjusting heat energy supply.

[0017] In particular, the thermal energy dispatch sub-area in a single thermal energy dispatch management area is determined according to the boundary line of the thermal energy dispatch sub-area, making the thermal energy dispatch management more refined and efficient. The clear sub-area division allows the thermal energy dispatch management process to formulate more precise dispatch strategies according to the characteristics and scale of the thermal energy demand 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 residents mainly use heat, the heat is allocated according to the residents' daily routines. This dispatch management can effectively improve the heating quality of the entire thermal energy dispatch management area, improve energy utilization efficiency, reduce operating costs, and achieve optimal allocation of thermal energy resources.

[0018] 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, and meet the thermal energy demands of different areas by intelligently scheduling the thermal energy in the high-temperature and low-temperature heat storage systems. In addition, the present invention takes into account the situation that the 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 supply and demand of thermal energy in different areas, but it can also achieve cross-regional scheduling of thermal energy through the temperature control device when the difference in thermal energy demand is large, thereby ensuring the stable operation and supply and demand balance of the entire thermal energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It 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 Flow chart of a heat energy scheduling management method based on waste heat recovery in an embodiment of the present invention; Figure 3 A flow chart for determining a thermal energy scheduling management area in an embodiment of the present invention; Figure 4This 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

[0020] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Embodiments of the present invention are described in detail below, examples of which 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 only used to explain the present invention, and cannot be understood as limiting the present invention.

[0023] See also Figure 1 and Figure 2 As shown, Figure 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 Flow chart of a heat energy scheduling management method based on waste heat recovery in an embodiment of the present invention; The present invention provides a heat energy scheduling management method based on waste heat recovery, including: 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 where it is located, obtaining the user location distribution of the heat energy user end, and determining the heat type of each heat energy user end; 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 demand type of the heat energy user end according to the heat use type of each heat energy user end in combination with the heat energy use 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 user end according to the user location distribution of each heat energy user end and the heat energy usage data of each heat energy user end, and determining the heat energy scheduling management area in combination with the heat energy demand type; Step S6, determining the heat energy scheduling sub-area in each of the heat energy scheduling management areas according to the temperature demand type of the heat energy user end; Step S7, determining the predicted thermal energy demand in the next thermal energy scheduling cycle in combination with the thermal energy scheduling management area and its internal thermal energy scheduling sub-areas, and scheduling the thermal energy of each heat storage system according to the predicted thermal energy demand.

[0024] In implementation, the 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 include waste heat generation, waste heat temperature, thermal energy and other information; heat energy usage data include heat energy usage and heat energy demand time.

[0025] The heat energy usage data of each heat energy user end is obtained. For industrial users, high-precision temperature sensors, heat energy sensors and pressure sensors are installed in key links of the production line (such as boilers and reactors) to monitor heat energy consumption in real time; for commercial users: smart heat meters (such as ultrasonic heat meters) are installed in central air-conditioning systems and hot water supply pipes to record the heat energy consumption per unit time; for residential users, smart heat meters are installed in household heating pipes to collect supply and return water temperature, heat energy and accumulated heat in real time. For example, using LoRa or NB-IoT communication technology to upload data to the cloud platform is an existing technology and is not specifically limited.

[0026] Specifically, the temperature range and heat energy of the heat source equipment are monitored in real time through temperature sensors and heat meters, and the high-temperature flue gas waste heat and low-temperature condensed water waste heat are collected and input into the heat storage system in stages. The high-temperature flue gas waste heat is recovered through the heat exchanger and stored in the high-temperature heat storage system, using high-temperature phase change materials or high-temperature water tanks for storage; the low-temperature condensed water waste heat is stored in the low-temperature heat storage system after the temperature is increased by absorption heat pumps or heat pipe technology. In the process of storing in the corresponding heat storage system, the conversion of low-temperature heat energy to high-temperature heat energy is completed through the temperature control device, which can provide supplementary heat energy faster when the high-temperature heat demand is high to ensure the heating demand.

[0027] The present invention refines the analysis and prediction of thermal energy demand and optimizes the thermal energy production and distribution process. It can dynamically adjust the thermal energy scheduling strategy based on real-time data and historical trends to adapt to the thermal energy demand patterns of different user groups. It 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. In addition, intelligent thermal energy scheduling helps to balance supply and demand and reduce the risk of energy surplus or shortage, thereby providing a more stable and reliable thermal energy supply. The present invention improves the efficiency of waste heat use, while reducing heating costs and enhancing the flexibility of the scheduling system.

[0028] Specifically, the high-temperature heat storage system supplies heat to the heat energy user end with high-temperature heat demand, and the low-temperature heat storage system supplies heat to the heat energy user end with low-temperature heat demand; Wherein, 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.

[0029] In practice, the waste heat that can be used is recovered at the heat source equipment through waste heat recovery devices, such as heat exchangers, absorption heat pumps, heat pipe technology equipment, etc. The heat exchanger is used to recover the waste heat of high-temperature flue gas, transfer the heat to cold water or other media, and produce hot water or steam; the absorption heat pump is driven by low-grade thermal energy, extracts heat from low-temperature heat sources (such as condensed water waste heat), and uses it after raising its temperature; the heat pipe technology relies on efficient heat conduction performance to quickly recover waste heat.

[0030] Construct high-temperature and low-temperature heat storage systems and use appropriate heat storage media (such as water, phase change materials, etc.). The high-temperature heat storage system is used to store high-temperature waste heat to meet high-temperature heat demand; the low-temperature heat storage system stores low-temperature waste heat for preheating and other low-temperature heat scenarios. Rationally design the capacity and structure of the heat storage system, and ensure that the heat storage system can operate stably based on the amount of waste heat generated and fluctuations in user demand, store heat when there is excess waste heat, and release heat when demand peaks.

[0031] 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 is convenient for providing heat energy according to demand at a wider speed, avoiding the process of heating the raw materials from the initial state, and further ensuring the efficiency of heat energy supply.

[0032] Specifically, 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; Among them, each of the heat energy usage ends corresponds to only one temperature requirement type.

[0033] 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.

[0034] 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.

[0035] 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 users. 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 users.

[0036] See also Figure 3 As shown, it is a flow chart of determining the thermal energy scheduling management area in an embodiment of the present invention. In the step S5, the thermal energy scheduling management area is determined according to the thermal energy related characterization parameters combined with the thermal energy demand type, including: Step S51, determining the position distribution of all heat energy usage ends corresponding to each temperature requirement type, and determining a reference heat energy usage end; Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user end according to heat energy usage data of each non-reference heat energy user end of the same heat energy demand type; Step S53, determining a distance influence factor according to the distance between each of the non-reference heat energy usage ends and the reference heat energy usage end in 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.

[0037] In implementation, in all areas covered by the thermal energy provided by the thermal storage system, various building types are determined, such as hospitals, residential buildings, industrial parks, etc., and building areas are determined according to the building types. In each building area, a reference thermal energy usage end in the center of the building area is selected. The reference thermal energy usage end can be any thermal energy usage end in the center of the building area.

[0038] The distance influencing 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.

[0039] The thermal energy correlation coefficient is determined according to the following formula: , 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].

[0040] The thermal energy correlation parameter is the product of the thermal energy correlation coefficient and the distance influence factor.

[0041] 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: 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 the 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.

[0042] In the implementation, the preset relevant characterization parameters are selected in the interval [0.9, 1.1]; The method of determining the boundary of the heat energy dispatching management area is to determine the heat energy user terminals that meet the same heat energy dispatching management area as the boundary of the corresponding heat energy dispatching management area.

[0043] It is understandable that in thermal energy scheduling management, by distinguishing the stability of thermal energy demand and the size of relevant characterization parameters to determine the type of thermal energy scheduling management area, more reasonable scheduling measures can be taken according to the characteristics of thermal energy demand in different regions. For stable thermal energy demand types, if the thermal energy-related characterization parameters are greater than or equal to the preset value, it indicates that the thermal energy demand in the area is relatively stable, and it can be divided into a thermal energy stable scheduling area, so as to implement long-term planning and stable thermal energy supply strategies. On the contrary, if the relevant characterization parameters are less than the preset value, even if the demand type itself is stable, it is divided into a thermal energy fluctuation scheduling area, so as to take more flexible scheduling measures to cope with possible demand fluctuations. For areas that are themselves fluctuating thermal energy demand types, they are directly divided into thermal energy fluctuation scheduling areas to achieve rapid response and adjustment to demand fluctuations.

[0044] It is understandable 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 included in each thermal energy scheduling and management area are not the same. For the stable thermal energy management area, the proportion of the number of stable thermal energy demand type use ends is the largest, while for the fluctuating thermal energy management area, the proportion of each type of thermal energy use end contained therein can be any proportion.

[0045] The present invention divides the areas within the heating range into stable areas and fluctuating areas, which can improve the flexibility and adaptability of heat energy scheduling, ensure that the matching between heat energy supply and demand is more accurate, reduce energy waste, and improve energy utilization efficiency. At the same time, by adopting differentiated management strategies for different areas, the corresponding heat energy needs of different regions can be better met and the heat energy supply efficiency can be improved. In addition, refined heat energy scheduling management can also help reduce operating costs and reduce unnecessary energy consumption by predicting and adjusting heat energy supply.

[0046] Specifically, in step S6, determining the thermal energy scheduling sub-area in each thermal 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 thermal energy scheduling sub-area in a single thermal energy scheduling management area is determined according to the thermal energy scheduling sub-area boundary line.

[0047] In the implementation, the boundary lines of the heat dispatch sub-areas are determined according to the user locations of users with different types of heat demand, taking into account the spatial distribution and demand differences of heat users in actual daily life. Grouping users with similar heat demand types and close locations into the same heat dispatch sub-area can reduce the loss during heat transmission. Because heat will be lost as the distance increases during transmission, users in similar locations can share a more efficient heat transmission network.

[0048] For example, commercial users concentrated in a certain block can be divided into a heat energy dispatch sub-area, and suitable heating facilities and dispatch plans can be specially configured for them, thus avoiding the long-distance transmission loss of heat energy caused by the dispersion of users. At the same time, such division is also conducive to targeted heat energy dispatch management based on the common needs of users in the sub-area, improving the reliability and stability of heat supply, and better meeting the heat needs of users.

[0049] 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 accurate scheduling strategies according to the characteristics and scale of the thermal energy demand 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, the heat 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.

[0050] 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: If the heat energy dispatch management area is a stable heat energy dispatch management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy dispatch 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 estimated 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.

[0051] Specifically, directly predicting the expected stable heat energy demand in the next heat energy scheduling cycle based on the historical heat energy usage data includes: 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 the corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

[0052] 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 users of the applied heat type separately when making predictions.

[0053] The upper limit of the stable use 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 use interval is 0.9 times the average value of the heat energy usage data of the heat energy user end of the heat type; The change trend of the heat energy usage data is determined according to 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 according to 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 by the least square 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. Generally, when the determination coefficient of the regression equation is greater than 0.8, it is considered that the regression equation has 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.

[0054] Specifically, determining the estimated fluctuating heat energy demand of each heat energy scheduling sub-area 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: Determine the total number of heat demand fluctuation factors for the next heat dispatch management cycle; The expected fluctuating heat demand is determined based on the historical heat usage data of the heat fluctuation scheduling area and the difference between the total number of heat demand fluctuation factors in the next heat scheduling management cycle and the total number of heat demand fluctuation factors in the heat scheduling management cycle of the same historical time.

[0055] In implementation, the heat demand fluctuation factor can be directly counted based on the dates included in the heat management cycle and determined in combination with weather changes in the next heat scheduling management cycle; The heat demand fluctuation factor can be any date different from regular working days, such as holidays or holidays, 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 rise / fall of 5°C or a wind speed change of more than level 3.

[0056] The estimated 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 estimated 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 estimated fluctuating heat energy change value, and then the estimated fluctuating heat energy demand is obtained in combination with the historical heat energy usage data of the fluctuating heat energy management area.

[0057] Each fluctuating heat energy dispatching 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 users of the applied heat type separately when making predictions.

[0058] Specifically, 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 demand and the low-temperature predicted heat demand of each heat energy dispatch 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 high temperature heat energy demand difference and the low temperature heat energy demand difference according to the matching results; The thermal energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature thermal energy demand difference and the low-temperature thermal energy demand difference.

[0059] In implementation, a heat source area may correspond to multiple heat energy scheduling and management areas, which are matched 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.

[0060] 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.

[0061] 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 is cooled by the temperature regulating 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 is heated by the temperature regulating 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 is dispatched to areas that are insufficiently compensated within other heat source areas.

[0062] In the present invention, by accurately matching the high-temperature and low-temperature thermal energy demands of each thermal energy scheduling 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, and meet the thermal energy demands of different areas by intelligently scheduling the thermal energy in the high-temperature and low-temperature heat storage systems. In addition, the present invention takes into account the situation that the heat source area may correspond to multiple thermal energy scheduling 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 supply and demand of thermal energy in different areas, but it can also achieve cross-regional scheduling of thermal energy through the temperature control device when the difference in thermal energy demand is large, thereby ensuring the stable operation and supply and demand balance of the entire thermal energy system.

[0063] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, 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, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order 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, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based device that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0064] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope 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 where it is located, obtaining the user location distribution of the heat energy user end, and determining the heat type of each heat energy user end; 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 user end according to the user location distribution of each heat energy user end and the heat energy usage data of each heat energy user end, and determining the heat energy scheduling management area in combination with the heat energy demand type; Step S6, determining the heat energy scheduling sub-area in each of the heat energy scheduling management areas according to the temperature demand type of the heat energy user end; Step S7, determining the predicted thermal energy demand in the next thermal energy scheduling cycle in combination with the thermal energy scheduling management area and its internal thermal energy scheduling sub-areas, and scheduling the thermal energy of each heat storage system according to the predicted thermal energy demand.

2. The heat energy scheduling 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 end with high-temperature heat demand, and the low-temperature heat storage system supplies heat to the heat energy user end with low-temperature heat demand; Wherein, 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 management method based on waste heat recovery according to claim 2 is characterized in that: 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; Among them, each of the heat energy usage ends corresponds to only one temperature requirement type.

4. The heat energy scheduling management method based on waste heat recovery according to claim 3 is characterized in that: In the 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 position distribution of all heat energy usage ends corresponding to each temperature requirement type, and determining a reference heat energy usage end; Step S52, determining a heat energy correlation coefficient of a corresponding heat energy user end according to heat energy usage data of each non-reference heat energy user end of the same heat energy demand type; Step S53, determining a distance influence factor according to the distance between each of the non-reference heat energy usage ends and the reference heat energy usage end in 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.

5. The heat energy scheduling management method based on waste heat recovery according to claim 4 is characterized in that: In the 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 the 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.

6. The heat energy scheduling management method based on waste heat recovery according to claim 5 is characterized in that: In the 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 thermal energy scheduling sub-area in a single thermal energy scheduling management area is determined according to the thermal energy scheduling sub-area boundary line.

7. The heat energy scheduling management method based on waste heat recovery according to claim 6 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 dispatch management area is a stable heat energy dispatch management area, the heat energy demand prediction method is to directly predict the expected stable heat energy demand in the next heat energy dispatch 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 estimated 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.

8. The heat energy scheduling management method based on waste heat recovery according to claim 7 is characterized in that: The estimated stable heat demand for the next heat dispatch cycle is directly predicted based on the historical heat 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 the corresponding change rate of each thermal energy usage end at the end of the current thermal energy scheduling cycle.

9. The heat energy scheduling management method based on waste heat recovery according to claim 8 is characterized in that: Determining the estimated fluctuating heat energy demand of each heat energy dispatching sub-area in the next heat energy dispatching cycle according to the historical heat energy data and the total number of heat energy demand fluctuation factors includes: Determine the total number of heat demand fluctuation factors for the next heat dispatch management cycle; The expected fluctuating heat demand is determined based on the historical heat usage data of the heat fluctuation scheduling area and the difference between the total number of heat demand fluctuation factors in the next heat scheduling management cycle and the total number of heat demand fluctuation factors in the heat scheduling management cycle of the same historical time.

10. The heat energy scheduling management method based on waste heat recovery according to claim 9 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 demand and the low-temperature predicted heat demand of each heat energy dispatch 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 high temperature heat energy demand difference and the low temperature heat energy demand difference according to the matching results; The thermal energy scheduling mode of the high-temperature heat storage system and the low-temperature heat storage system is determined according to the high-temperature thermal energy demand difference and the low-temperature thermal energy demand difference.

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