Energy consumption allocation calculation method and device for centralized cold and heat source system building or park

Abstract

The invention discloses an energy consumption allocation calculation method and device for a centralized cold and heat source system building or park. The method comprises the following steps: acquiring energy consumption data; calculating the total energy consumption allocation amount according to the energy consumption data; calculating an apportionment coefficient according to the energy consumption ratio and the duration ratio of each user to all users; and calculating the energy consumption allocation amount of each user according to the total energy consumption allocation amount and the allocation coefficient. According to the technical scheme, fine management of energy consumption allocation can be realized, the energy consumption of the building or the park can be allocated to each user more fairly and reasonably, and the accuracy of the allocation result and the user recognition degree are improved. Meanwhile, the allocation coefficients of different time periods are considered, the method adapts to the energy consumption difference of the users in different time periods, and the allocation reasonability is further improved. In addition, the complex relation of energy consumption data is effectively processed, powerful support is provided for energy management and cost control, and energy conservation, consumption reduction and resource optimization configuration are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy consumption management, and particularly to a method and device for calculating energy consumption sharing in a centralized cold and heat source system building or park. Background Art

[0002] With the continuous emergence of new office buildings and commercial buildings and the increasing improvement of energy conservation requirements, centralized cold and heat source systems are more widely used in large buildings and parks. Traditional energy consumption sharing methods mostly adopt overall equal sharing or distribution according to the proportion of building area. Although the cost accounting is completed to a certain extent, the actual energy consumption differences of users and the hidden energy consumption of public areas and system losses are often ignored, resulting in the lack of scientificity and fairness in the sharing results and being difficult to meet the requirements of refined management.

[0003] Specifically, there are three main problems in the existing technology: First, the hierarchical division is extensive, and independent modeling is not carried out for end-users, building public areas, and external energy purchase losses, resulting in the energy consumption of public areas (such as corridors and lobbies) being simply evenly shared without considering time period and regional differences; Second, the coupling relationship is complex, and the transmission losses of cold and hot pipe networks and the metering deviation of external energy purchases cannot be effectively decoupled from the actual usage, resulting in the distortion of the sharing coefficient and affecting the accuracy of cost settlement; Third, the data time step division is not detailed enough, and the traditional monthly total meter measurement lacks real-time or time-sharing data support, and cannot fully reflect the principle of "more use, more share", especially insufficient consideration of special energy consumption situations during overtime periods. The above problems all restrict the optimization and upgrading of centralized cold and heat source systems in aspects such as energy consumption management, cost accounting, and energy conservation and emission reduction, and there is an urgent need to develop a calculation method that can accurately reflect the actual energy consumption behavior of users and has a clearer sharing responsibility. Summary of the Invention

[0004] The present invention provides a method and device for calculating energy consumption sharing in a centralized cold and heat source system building or park, so as to achieve accurate cost sharing, improve the fairness and accuracy of sharing, and effectively improve the energy management efficiency.

[0005] According to a first aspect of the present invention, there is provided a method for calculating energy consumption sharing in a centralized cold and heat source system building or park, the method for calculating energy consumption sharing in the centralized cold and heat source system building or park comprising:

[0006] Obtain energy consumption data, the energy consumption data including first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data;

[0007] Calculate the total energy consumption sharing amount according to the energy consumption data;

[0008] Calculate a sharing coefficient according to the energy consumption ratio and duration ratio of each user to all users, the sharing coefficient including a daily sharing coefficient, a monthly sharing coefficient, and an overtime period sharing coefficient;

[0009] The energy consumption apportionment amount of each user is calculated based on the total energy consumption apportionment amount and the apportionment coefficient, and then the energy consumption apportionment fee of each user is calculated.

[0010] In one embodiment, the energy consumption data is obtained, and the energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data, including:

[0011] The first-level energy consumption calculation data includes the air supply temperature T1, room temperature T2, and air supply volume V at each time. i , air density ρ, air constant pressure specific heat capacity C p , any one or more of the terminal cold and heat statistical time interval Δt1;

[0012] The second level energy consumption calculation data includes the mixed air enthalpy value hr of return air and fresh air, the supply air enthalpy value h0 after AHU processing, and the operating air volume V at time j. j , air density ρ, cooling and heating statistical time interval Δt2 of the air-conditioning unit, FP and AHU power consumption E1, fresh air fan and exhaust fan power consumption E2, or more;

[0013] The third-level energy consumption calculation data includes the cooling and heating amount Q settled by the energy company 账单 And the instrument statistics system cumulative cooling and heating q i , the system's cooling and heating equipment transmission power consumption is E3.

[0014] In one embodiment, calculating the total energy consumption allocation based on the energy consumption data includes:

[0015] The energy consumption sharing includes the corridor cooling and heating amount shared by each room Q1, the public area cooling and heating amount shared by each room Q2, the air-conditioning cooling and heating amount shared by each room in the public area of the building Q3, the project loss cooling and heating amount shared by the user room Q4, the accumulated room cooling and heating amount during the overtime period of the day and the shared cooling and heating amount Q5.

[0016] In one embodiment, the allocation coefficient is calculated based on the energy consumption ratio and duration ratio of each user to all users. The allocation coefficient includes a daily allocation coefficient, a monthly allocation coefficient, and an overtime allocation coefficient, including:

[0017] Calculate the daily allocation coefficient based on the daily energy consumption ratio of each user to all users;

[0018] Calculate the monthly allocation coefficient based on the monthly energy consumption ratio of each user to all users;

[0019] The overtime allocation coefficient is calculated based on the ratio of the overtime electricity consumption time of each user to that of all users.

[0020] In one embodiment, it further includes:

[0021] The first level of energy consumption sharing includes corridors and public areas;

[0022] The second level of energy consumption sharing includes the energy consumption of the air conditioning processor units in the public areas;

[0023] The third level of energy consumption allocation is the deviation between the sum of the cooling and heating energy purchased by the energy company and the energy consumption statistically calculated by the property management company and the actual measurement of the system.

[0024] In one embodiment, it further includes:

[0025] Based on each user's energy consumption data, daily allocation coefficient and overtime allocation coefficient, calculate each user's electricity consumption allocation.

[0026] According to a second aspect of the present invention, there is provided an energy consumption allocation calculation device for a centralized cold and heat source system building or park, comprising:

[0027] An acquisition module is used to acquire energy consumption data, wherein the energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data;

[0028] A first calculation module calculates the total energy consumption allocation based on the energy consumption data;

[0029] The second calculation module calculates the allocation coefficient based on the energy consumption ratio and duration ratio of each user to all users, and the allocation coefficient includes a daily allocation coefficient, a monthly allocation coefficient and an overtime allocation coefficient;

[0030] The third calculation module calculates the energy consumption apportionment amount of each user according to the total energy consumption apportionment amount and the apportionment coefficient, and further calculates the energy consumption apportionment fee of each user.

[0031] In one embodiment, the acquisition module, the first calculation module, the second calculation module and the third calculation module are controlled to execute the above-mentioned energy consumption allocation calculation method for a centralized cold and heat source system building or park.

[0032] According to a third aspect of the present invention, there is provided an electronic device, the electronic device comprising: a communication interface, a processor, and a memory;

[0033] The memory is used to store program instructions, which, when executed by the processor that is communicatively connected to the memory through the communication interface, implement the above-mentioned energy consumption sharing calculation method for a centralized cold and heat source system building or park.

[0034] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having computer program instructions stored thereon, which when executed by a computer (e.g., a processor in the computer) implement the above-described method for calculating energy consumption sharing of a centralized cooling and heat source system in a building or a campus.

[0035] In summary, the present invention provides a method and device for calculating energy consumption sharing of a centralized cooling and heat source system in a building or a campus. The method includes: obtaining energy consumption data, where the energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data; calculating a total energy consumption sharing amount based on the energy consumption data; calculating sharing coefficients according to the energy consumption ratio and duration ratio of each user to all users, where the sharing coefficients include daily sharing coefficients, monthly sharing coefficients, and overtime period sharing coefficients; and calculating the energy consumption sharing amount of each user based on the total energy consumption sharing amount and the sharing coefficients, and then calculating the energy consumption sharing cost of each user. The technical solution of this application realizes refined management of energy consumption sharing through the acquisition and analysis of multi-level energy consumption data, can more fairly and reasonably allocate the energy consumption of a building or a campus to each user, improves the accuracy of the sharing result and user recognition. At the same time, considering the sharing coefficients in different time periods, it adapts to the energy consumption differences of users in different periods and further improves the sharing rationality. In addition, this method can effectively handle the complex relationships of energy consumption data, provides strong support for energy management and cost control, and helps to save energy and reduce consumption and optimize the allocation of resources.

[0036] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings.

[0037] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0038] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of a method for calculating energy consumption sharing of a centralized cooling and heat source system in a building or a campus provided by an embodiment of the present invention;

[0040] Figure 2Schematic diagram of hierarchical energy consumption sharing for a building or a park with a centralized cooling and heat source system provided by an embodiment of the present invention;

[0041] Figure 3 Schematic diagram of energy consumption sharing for user rooms in a building or a park with a centralized cooling and heat source system provided by an embodiment of the present invention;

[0042] Figure 4 Schematic diagram of the process of an energy consumption sharing system for a centralized cooling and heat source in a building or a park provided by an embodiment of the present invention;

[0043] Figure 5 Structural diagram of an energy consumption sharing calculation device for a building or a park with a centralized cooling and heat source system provided by an embodiment of the present invention;

[0044] Figure 6 Structural diagram of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0045] The features and exemplary embodiments of various aspects of the present application will be described in detail below. For the purpose of making the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present application by showing examples of the present application.

[0046] It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, elements defined by the statement "comprising..." do not exclude the presence of additional identical elements in the process, method, article or device comprising the said elements.

[0047] As Figure 1 shown, the present invention provides an energy consumption sharing calculation method for a building or a park with a centralized cooling and heat source system. The energy consumption sharing calculation method for the building or the park with the centralized cooling and heat source system includes S11 - S14:

[0048] In step S11, energy consumption data is obtained, and the energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data;

[0049] In step S12, based on the energy consumption data, the total energy consumption sharing amount is calculated;

[0050] In step S13, based on the energy consumption ratio and duration ratio of each user to all users, sharing coefficients are calculated, and the sharing coefficients include daily sharing coefficients, monthly sharing coefficients, and overtime period sharing coefficients;

[0051] In step S14, based on the total energy consumption sharing amount and the sharing coefficients, the energy consumption sharing amount of each user is calculated, and then the energy consumption sharing cost of each user is calculated.

[0052] In one embodiment, first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data are collected, and these data cover multi-level information from basic parameters such as air-conditioning supply air temperature and room temperature to the cold and heat quantity bills settled by energy companies. Based on the obtained energy consumption data, the total energy consumption to be shared is calculated, including different parts such as the cold and heat quantity shared by each room in the corridor and the cold and heat quantity in public areas. According to the energy consumption ratio and duration ratio of each user to all users, daily, monthly, and overtime period sharing coefficients are calculated respectively to adapt to the energy consumption differences in different time periods. Using the total energy consumption sharing amount and the sharing coefficients, the energy consumption sharing amount of each user is obtained, and its sharing cost is further calculated. Table 1 below shows all the parameters and parameter sources in this embodiment.

[0053] Table 1

[0054]

[0055]

[0056]

[0057] The first-level energy consumption calculation data mainly involves the basic operating parameters of the air-conditioning system, including the air-conditioning supply air temperature (T1) and the room temperature (T2). Through real-time monitoring by temperature sensors, these data reflect the difference between the cold and heat quantity delivered by the air-conditioning system to the room and the actual room temperature, and are the basis for calculating the energy consumption of the air-conditioning system. For example, in an office scenario, if T1 is 18°C and T2 is 29°C, it means that the air-conditioning is providing heat to the room to maintain a comfortable temperature. The air volume (V i ) at each moment is obtained by an air volume sensor, and the size of the air volume directly affects the energy consumption of the air-conditioning system. In large places such as shopping malls, the change in the number of people at different times will lead to different air volume requirements. For example, the air volume may be larger during the peak business hours during the day and relatively smaller at night. The air density (ρ) and the specific heat capacity at constant pressure of air (Cp ) These two physical parameters are crucial when calculating the energy consumption of an air-conditioning system for handling air. The air density is generally a known constant, approximately 1.2 kg / m 3 , and the specific heat capacity of air at constant pressure C p is approximately 1005 J / (kg·K). The statistical time interval (Δt1) for the cooling and heating capacity at the end is set according to actual needs. For example, the cooling and heating capacity exchange of the end equipment is statistically calculated every 15 minutes or 30 minutes to more accurately grasp the energy consumption dynamics of the air-conditioning system.

[0058] The energy consumption calculation data at the second level delves into the operation details of the air-conditioning handling unit. The enthalpy value (h r ) of the mixed air of the return air and fresh air refers to the enthalpy value of the mixed air, which reflects the thermal and humidity state after the mixing of the return air and fresh air. Through enthalpy value calculation, the cooling and heating capacity required for the air-conditioning system to handle air can be determined. For example, during the plum rain season with high humidity, the enthalpy value of the mixed air will increase accordingly, and the air-conditioning system needs to consume more energy for dehumidification treatment. The enthalpy value (h0) of the supply air after being processed by the AHU refers to the enthalpy value of the supply air after the AHU (air handling unit) processes the mixed air. The difference from the enthalpy value of the mixed air can calculate the cooling and heating capacity provided by the AHU during this period. The operating air volume (V j ) at time j refers to the operating air volume of the air-conditioning handling unit at different times may vary due to demand. Accurately obtaining V j can more truly reflect the energy consumption situation of the air-conditioning system. The statistical time interval (Δt2) for the cooling and heating capacity of the air-conditioning handling unit is usually different from the statistical time interval for the cooling and heating capacity at the end, and may be set to be statistically calculated once an hour to adapt to the operating characteristics of the air-conditioning handling unit. The electricity consumption (E1) of the FP and AHU, the electricity consumption (E2) of the fresh air fan and exhaust fan: These electricity consumption data directly reflect the operating energy consumption of each device in the air-conditioning system and are obtained in real time through metering devices such as electric meters. For example, if an AHU with a power of 10 kW operates for 1 hour, its electricity consumption E1 is 10 kWh.

[0059] The energy consumption calculation data at the third level mainly involves the energy supply and system transmission links. The cooling and heating capacity bill (Q 账单 ) settled by the energy company and the cumulative cooling and heating capacity (q i ) statistically calculated by the meter system refer to that the Q bill is the settlement voucher issued by the energy company according to the actual supplied cooling and heating capacity, while q i is the cooling and heating capacity data accumulated through the meters installed in the system. There may be a certain deviation between the two, which needs to be reasonably processed. The transmission electricity consumption (E3) of the system's cooling and heating equipment means that the cooling and heating equipment also consumes electric energy during the transmission process, such as the electricity consumption of equipment such as water pumps and fans. These data are also important for accurately calculating the total energy consumption sharing.

[0060] The calculation of total energy consumption apportionment covers the summary and classification of energy consumption in different areas and equipment within a building or park.

[0061] Corridor heat and cooling (Q1) is shared among each room. As a common area, the corridor's heat and cooling consumption is correlated with that of adjacent rooms. By analyzing factors such as the air volume and temperature distribution of the air conditioning system, the corridor's heat and cooling are distributed among the rooms according to a specific ratio. For example, in an apartment building, the frequency and duration of each room's door openings can be used to estimate each room's contribution to the corridor's heat and cooling, thereby determining the Q1 distribution ratio.

[0062] The shared heating and cooling capacity of public areas (Q2) is allocated to each room, including corridors and other public areas such as lobbies and elevator halls. This allocation can be done using various methods, such as area ratio and frequency of use. For example, in a hotel, the shared heating and cooling capacity for each guest room is calculated based on the number of guest rooms and the area of the public areas.

[0063] Each room shares the cooling and heating needs of the building's public areas (Q3). For some large buildings, such as office buildings, the cooling and heating needs of the public areas need to be shared taking into account factors such as the building's structure and usage function.

[0064] The user room apportionment item for heat and cooling loss (Q4) is the inevitable heat loss during the transmission and conversion process of the heat and cooling source system. This loss should be apportioned based on factors such as the user room's location and distance from the heat and cooling source equipment. For example, rooms farther from the heat and cooling source equipment may be subject to a higher heat loss apportionment due to heat loss during piping transmission.

[0065] Accumulate the room heating and cooling consumption during overtime hours and allocate the allocated heating and cooling consumption (Q5). For rooms with overtime users, the additional heating and cooling consumption during overtime hours needs to be separately calculated and allocated. Overtime information is collected through the attendance system or user self-reporting. Combined with the air conditioning system's operating data, Q5 is calculated and allocated appropriately to the relevant users.

[0066] The calculation of the allocation coefficient is the core link to achieve fair energy consumption allocation. According to the user energy consumption ratio and duration ratio in different time dimensions, the daily, monthly and overtime allocation coefficients are determined respectively.

[0067] Daily sharing coefficient calculation refers to obtaining the energy consumption data of each user within a day, including the air conditioner usage time, electricity consumption, etc. The ratio of the energy consumption value of each user to the total energy consumption of all users is used as the energy consumption ratio. For example, if the energy consumption of user A on a certain day is 1 kWh and the total energy consumption of all users is 100 kWh, then the energy consumption ratio of user A is 1%. The daily sharing coefficient is directly determined based on the energy consumption ratio, and this coefficient reflects the weight of the user in the energy consumption sharing on that day. Monthly sharing coefficient calculation collects the energy consumption data of each user within a month and accumulates and summarizes them. Similar to the daily energy consumption ratio, calculate the proportion of each user's monthly energy consumption in the total energy consumption. Considering the usage habits and energy consumption patterns of users in different months, appropriately adjust the monthly sharing coefficient. For example, some users may have a significant increase in energy consumption due to frequent air conditioner use in summer. Overtime period sharing coefficient calculation, statistics the electricity usage duration of each user during the overtime period and compares it with the total electricity usage duration of all users during the overtime period.

[0068] The energy consumption shared by users covers three mutually independent parts (corresponding to the three-level classification): end energy consumption sharing (the first level), building area energy consumption sharing (the second level), and the loss sharing between the externally purchased energy, the energy consumption statistics of the property company, and the actual measurement of the system (the third level). The system's energy use and electricity consumption are linearly allocated to each user for sharing according to the proportion of the user's energy consumption in the total energy consumption, ensuring that the model follows the principle of "more use, more sharing", and the electricity consumption and energy consumption are billed separately and independently.

[0069] The user energy consumption sharing is divided into three levels, namely: the room end is the first level, the building area is the second level, and the loss sharing part is the third level. Independent modeling and data statistics are carried out for each of the three levels, as Figure 2 shown, the three-level energy consumption sharing situation of the users in the building with a centralized cold and heat source system or the park is mainly based on the differences in space and usage formulas to divide the user energy consumption sharing into three levels. The first-level room end level includes corridors and public area rooms, and the data comes from the data monitoring of the end air conditioning equipment (FP, AHU, etc.). The end cooling and heating amount formula is used to calculate the energy consumption of the first level; the second level is the building area level, and the data comes from the data monitoring of the air conditioning unit equipment, and the cooling and heating amount formula of the entire unit is used for calculation; the third level is the loss sharing between the settlement amount and the metering amount, mainly including the deviation sharing between the monthly settlement energy consumption purchased externally by the energy company or statistically by the property company and the system metering value.

[0070] Statistics the data required for the energy consumption sharing calculation at each level of the statistical model. The first-level energy consumption calculation requires statistics: the air supply temperature T1 of the air conditioner, the room temperature T2, the air supply volume V at each moment i , the air density ρ, the specific heat capacity at constant pressure C of the air p , the end cooling and heating amount statistical time interval Δt1; the second-level energy consumption calculation requires statistics: the enthalpy value h of the mixed air of the return air and the fresh air r, the air supply enthalpy value h0 after AHU processing, the air density ρ and the operating air volume V at time j j , air conditioning unit statistics time interval Δt2, FP and AHU power consumption E1, fresh air fan and exhaust fan power consumption E2; the third level energy consumption calculation requires statistics: the total metering value of purchased cold and heat sources Q 账单 And the instrument statistics system measures the cumulative cooling and heating amount q i , the power consumption of the system's cooling and heating equipment transmission is E3. After completing the above data statistics, enter it into the calculation of energy consumption allocation for each part;

[0071] The energy consumption allocation of each part of the user's energy consumption is calculated through the formula. In specific implementation, the first level uses the terminal energy consumption calculation formula: Calculate the terminal energy consumption, including Q0, Q1, Q2 and Q5. Each part of energy consumption corresponds to an allocation coefficient ξ, where Q0 does not involve allocation, ξ = 1, Q1 and Q2 use the daily allocation coefficient ξ1, and Q5 uses the overtime allocation coefficient ξ3. The second-level energy consumption uses the air conditioning unit (AHU) cooling and heating formula: Q = ξ × ∑ [(h r -h0)×V j ×ρ×Δt2] is used for calculation. The part of the air conditioning unit (AHU) cooling and heat calculation formula includes Q3, which corresponds to the allocation coefficient ξ1. The third level of energy consumption is mainly used to allocate losses. The losses are composed of two parts, including the loss of purchased cooling and heat sources ε 外购损耗 The deviation ε between the monthly settlement of cooling and heating values by the property management company and the system measurement value 月度偏差 The energy loss formula for purchased cooling and heating sources and system metering is: ε=Q 账单 -Q 月度累计 To calculate the deviation between the cooling and heating amount settled by the property management company and the system metering value, the formula is: Calculation is performed, so the total loss is calculated as Q = ξ × (ε 月度偏差 +∈ 外购损耗 The part calculated using loss allocation includes Q4, and the allocation coefficient ξ2 is used for reasonable distribution.

[0072] Calculate the allocation coefficients for each part (ξ1, ξ2, ξ3); this model introduces a linear allocation method. Based on the user's energy consumption ratio, dynamically generate daily, monthly, and overtime allocation coefficients (corresponding to ξ1, ξ2, and ξ3, respectively) to ensure the mathematical explainability and operational feasibility of the "more use, more allocation" principle. Among them, the calculation formula for ξ1 is: ξ=Q 用户 / ∑Q 用户 , the calculation formula of ξ2 is:

[0073] The calculation formula of ξ3 is:

[0074]

[0075] Based on the calculation results of energy consumption and the calculation results of the apportionment coefficients of each part, calculate the energy consumption Q of the rooms with users 用户 and the electricity consumption E to be apportioned by the users 用户 ;

[0076] As Figure 3 shown, it shows the apportionment of each part of the total energy consumption of the users and the situation of the said level. Accumulate the energy consumption of each part to obtain the total energy consumption of the users, so the total energy consumption of the users can be Q 用户 expressed as: Q 用户 = Q0 + Q1 + Q2 + Q3 + Q4 + Q5. The calculation method of the electricity consumption used by the users is to directly apportion the electricity consumption according to the energy consumption apportionment and overtime situation of the users, and the specific calculation formula used is: E 用户 = (ξ1 + ξ2) × (E1 + E2 + E3).

[0077] According to the above calculation results, calculate the actual cost. Calculate the involved costs in two parts. The first part is the non-electric energy part, which is directly calculated according to the user energy consumption Q 用户 and the energy unit price a t to obtain the non-electric energy cost C 能源 . The second part is the electric energy part, which is calculated according to the total electric energy consumption E 用户 statistically obtained in the park and the electricity price unit b t to obtain the electricity cost C 电费 , then the calculation formula of the total cost C can be expressed as: C = C 能源 + C 电费 .

[0078] As Figure 4 shown, it shows the modules included in the cold and heat source energy consumption apportionment management and billing system and the calculation process of the system when using this model as the mathematical base. The calculation process of the whole system is as follows:

[0079] First, enter the data acquisition module, which is responsible for collecting real-time BA system air-conditioning operation data, air-conditioning energy consumption acquisition data, and air-conditioning electricity consumption acquisition data. Subsequently, this data is transmitted to the data storage module, where a real-time database and a relational database are constructed or updated.

[0080] Next, the data association module maps the equipment, users, and regions, and checks whether the configuration relationship needs to be changed. If necessary, the database will be updated. Then, the process enters the apportionment calculation module, which is responsible for cold and heat quantity apportionment, electricity quantity apportionment, room apportionment, public area apportionment, and loss apportionment.

[0081] In parallel, the calculation and analysis module deeply analyzes the data, including differentiating between working hours and overtime hours, calculating the loss of cooling and heating energy, calculating the actual cooling and heating energy at the end, and handling data anomalies. The cost calculation module is responsible for calculating the energy consumption cost and the electricity consumption cost.

[0082] Finally, all calculation results are displayed through the result output module, and the process is completed at the "end" node. Through accurate data collection, storage, association, analysis, and cost calculation, the entire system realizes the effective sharing of the energy consumption of centralized cooling and heating sources.

[0083] The technical solution in this embodiment can accurately allocate the energy consumption to each user through the acquisition and analysis of multi-level energy consumption data, avoiding the extensiveness and unfairness of traditional allocation methods. For example, in a large park with a mix of functions such as office and commerce, the energy consumption characteristics and usage times of different functional areas vary greatly. This method can perform refined allocation according to the actual situation to ensure that each user bears a reasonable energy consumption cost. Considering the allocation coefficients in different time dimensions such as daily, monthly, and overtime hours, it fully adapts to the energy consumption differences of users at different times. This is particularly important for some users with special energy usage situations such as night overtime and seasonal production, as it can more realistically reflect their energy consumption and improve the rationality of the allocation results. Covering multi-level energy consumption data from basic operating parameters to the energy supply and transmission links, it provides a comprehensive and accurate data basis for energy consumption allocation. Compared with the method of allocating based on only single data, this method can more comprehensively consider all aspects of energy consumption generation and reduce the allocation error. It is applicable to various centralized cooling and heating source system buildings or parks, regardless of their scale and functional complexity, and can be applied by adjusting parameters and allocation rules. For example, in scenarios such as small residential communities, large industrial parks, and comprehensive commercial centers, it can play its advantages in energy consumption allocation. The energy consumption allocation calculation method for centralized cooling and heating source system buildings or parks realizes a fair, reasonable, and accurate energy consumption allocation scheme through the acquisition of multi-level energy consumption data, the calculation of the total allocation amount, the determination of the allocation coefficient, and the calculation of the user's energy consumption allocation amount and cost, which can effectively improve the energy management level and cost control ability of buildings or parks, and provide strong support for promoting energy conservation, emission reduction, and sustainable development. It fairly and reasonably distributes the energy consumption of each user in the building or park, making the entire charging public and transparent, improving the management level, promoting the reduction of the energy consumption of the entire building from an economic perspective, and providing a model reference for establishing an energy consumption allocation management system.

[0084] In one embodiment, Figure 5 is a block diagram of an energy consumption allocation calculation device for a centralized cooling and heating source system building or park shown according to an exemplary embodiment. As Figure 5As shown, the energy consumption sharing calculation device for a centralized cold and heat source system building or park includes an acquisition module 51, a first calculation module 52, a second calculation module 53 and a third calculation module 54.

[0085] The acquisition module 51 is used to acquire energy consumption data, which includes first-level energy consumption calculation data, second-level energy consumption calculation data and third-level energy consumption calculation data;

[0086] The first calculation module 52 calculates the total energy consumption allocation based on the energy consumption data;

[0087] The second calculation module 53 calculates the allocation coefficient according to the energy consumption ratio and duration ratio of each user to all users, and the allocation coefficient includes a daily allocation coefficient, a monthly allocation coefficient and an overtime allocation coefficient;

[0088] The third calculation module 54 calculates the energy consumption apportionment amount of each user according to the total energy consumption apportionment amount and the apportionment coefficient, and further calculates the energy consumption apportionment fee of each user.

[0089] The acquisition module 51, the first calculation module 52, the second calculation module 53 and the third calculation module 54 included in the block diagram of the energy consumption sharing calculation device for a centralized cold and heat source system building or park are controlled to execute the energy consumption sharing calculation method for a centralized cold and heat source system building or park described in any of the above embodiments.

[0090] like Figure 6 As shown, the present invention provides an electronic device 600, which includes: a communication interface, a processor 601, and a memory 602;

[0091] In which, the memory 602 is used to store program instructions, and when the program instructions are executed by the processor 601 that is communicatively connected to the memory 602 through the communication interface, energy consumption data is obtained, and the energy consumption data includes any one or more of the first-level energy consumption calculation data, the second-level energy consumption calculation data and the third-level energy consumption calculation data; based on the energy consumption data, the total energy consumption allocation is calculated; based on the energy consumption ratio and time ratio of each user to all users, the allocation coefficient is calculated, and the allocation coefficient includes the daily allocation coefficient, the monthly allocation coefficient and the overtime allocation coefficient; based on the total energy consumption allocation amount and the allocation coefficient, the energy consumption allocation amount of each user is calculated, and then the energy consumption allocation fee of each user is calculated.

[0092] The present invention provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, energy consumption data is obtained. The energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data; according to the energy consumption data, the total energy consumption sharing amount is calculated; according to the energy consumption ratio and duration ratio of each user to all users, sharing coefficients are calculated, and the sharing coefficients include a daily sharing coefficient, a monthly sharing coefficient, and an overtime period sharing coefficient; according to the total energy consumption sharing amount and the sharing coefficients, the energy consumption sharing amount of each user is calculated, and then the energy consumption sharing cost of each user is calculated.

[0093] It should be understood that the specific features, operations, and details described above regarding the method of the present invention can also be similarly applied to the device and system of the present invention, or vice versa. In addition, each step of the method of the present invention described above can be executed by the corresponding components or units of the device or system of the present invention.

[0094] It should be understood that each module / unit of the device of the present invention can be implemented in whole or in part by software, hardware, firmware, or a combination thereof. Each module / unit can be embedded in the processor of the computer device in the form of hardware or firmware or independent of the processor, or can be stored in the memory of the computer device in the form of software for the processor to call to execute the operations of each module / unit. Each module / unit can be implemented as an independent component or module, or two or more modules / units can be implemented as a single component or module.

[0095] In one embodiment, a computer device is provided, which includes a memory and a processor. Computer instructions executable by the processor are stored on the memory. When the computer instructions are executed by the processor, the processor is instructed to execute the steps of the method of the embodiment of the present invention. The computer device can be broadly a server, a terminal, or any other electronic device having the necessary computing and / or processing capabilities. In one embodiment, the computer device may include a processor, a memory, a network interface, a communication interface, etc. connected through a system bus. The processor of the computer device can be used to provide the necessary computing, processing, and / or control capabilities. The memory of the computer device can include a non-volatile storage medium and an internal memory. The operating system, computer programs, etc. can be stored in or on the non-volatile storage medium. The internal memory can provide an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface and communication interface of the computer device can be used to connect and communicate with external devices through a network. When the computer program is executed by the processor, the steps of the method of the present invention are executed.

[0096] The present invention can be implemented as a computer-readable storage medium having a computer program stored thereon, which when executed by a processor causes the steps of the method of the embodiments of the present invention to be performed. In one embodiment, the computer program is distributed over a plurality of network-coupled computer devices or processors such that the computer program is stored, accessed, and executed by one or more computer devices or processors in a distributed manner. A single method step / operation, or two or more method steps / operations, can be executed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations can be executed by one or more computer devices or processors, and one or more other method steps / operations can be executed by one or more other computer devices or processors. One or more computer devices or processors can execute a single method step / operation, or execute two or more method steps / operations.

[0097] Those of ordinary skill in the art can understand that the method steps of the present invention can be completed by a computer program instructing related hardware such as a computer device or a processor. The computer program can be stored in a non-transitory computer-readable storage medium, and when the computer program is executed, the steps of the present invention are caused to be performed. Depending on the circumstances, any reference herein to a memory, storage, database, or other medium may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0098] The various technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification as long as such a combination does not result in a contradiction.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for calculating the energy consumption sharing of a centralized cold and heat source system in a building or a park, characterized in that, include: Obtain energy consumption data, including first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data, ensuring that all relevant coefficients are collected for subsequent allocation calculations; Calculate the total energy consumption allocation based on the energy consumption data; Calculate the allocation coefficient based on the energy consumption ratio and duration ratio of each user to all users. The allocation coefficient includes daily allocation coefficient, monthly allocation coefficient and overtime allocation coefficient. Ensure that all relevant coefficients are collected for subsequent allocation calculations; The energy consumption apportionment amount of each user is calculated based on the total energy consumption apportionment amount and the apportionment coefficient, and then the energy consumption apportionment fee of each user is calculated.

2. The energy consumption sharing calculation method for a centralized cold and heat source system building or park according to claim 1, characterized in that, The energy consumption data is obtained, wherein the energy consumption data includes any one or more of the first-level energy consumption calculation data, the second-level energy consumption calculation data, and the third-level energy consumption calculation data, including: The first-level energy consumption calculation data includes the air supply temperature T1 of the air conditioner, the room temperature T2, the air supply volume V at each moment i , the air density ρ, and the specific heat capacity at constant pressure C of the air p , any one or more of the statistical time intervals Δt1 of the cooling and heating capacity at the end; The second-level energy consumption calculation data includes the enthalpy value hr of the mixed air of the return air and the fresh air, the enthalpy value h0 of the supply air after being processed by the AHU, the operating air volume V at the jth moment j , the air density ρ, the statistical time interval Δt2 of the cooling and heating capacity of the air conditioning treatment unit, the power consumption E1 of the FP and the AHU, and the power consumption E2 of the fresh air fan and the exhaust fan; The third-level energy consumption calculation data includes the cooling and heating energy Q settled by the energy company 账单 and the cumulative cooling and heating energy q of the instrument statistical system i , and the transmission power consumption E3 of the system's cooling and heating equipment.

3. The energy consumption sharing calculation method for a building or a park with a centralized cooling and heat source system as described in claim 1, characterized in that, Calculating the total energy consumption apportionment based on the energy consumption data includes: The total energy consumption sharing includes the corridor cooling and heating amount shared by each room Q1, the public area cooling and heating amount shared by each room Q2, the air-conditioning cooling and heating amount shared by each room in the public area of the building Q3, the project loss cooling and heating amount shared by the user room Q4, the accumulated room cooling and heating amount during the overtime period of the day and the shared cooling and heating amount Q5.

4. The energy consumption sharing calculation method for a building or a park with a centralized cooling and heat source system as claimed in claim 1, wherein The allocation coefficient is calculated based on the energy consumption ratio and duration ratio of each user to all users. The allocation coefficient includes a daily allocation coefficient, a monthly allocation coefficient, and an overtime allocation coefficient, including: Calculate the daily allocation coefficient based on the daily energy consumption ratio of each user to all users; Calculate the monthly allocation coefficient based on the monthly energy consumption ratio of each user to all users; The overtime allocation coefficient is calculated based on the ratio of the overtime electricity consumption time of each user to that of all users.

5. The energy consumption sharing calculation method for a centralized cold and heat source system building or park according to claim 1, characterized in that, Also includes: The first level of energy consumption sharing includes any one or more of corridors and public areas; The second level of energy consumption sharing includes the energy consumption of the air conditioning processor units in the public areas; The third level of energy consumption allocation is the deviation between the sum of the cooling and heating energy purchased by the energy company and the energy consumption statistically calculated by the property management company and the actual measurement of the system.

6. The energy consumption sharing calculation method for a centralized cooling and heat source system building or park according to claim 1, wherein Also includes: Based on each user's energy consumption data, daily allocation coefficient and overtime allocation coefficient, calculate each user's electricity consumption allocation.

7. An energy consumption sharing calculation device for a building or a park with a centralized cold and heat source system, characterized in that, include: An acquisition module is used to acquire energy consumption data, wherein the energy consumption data includes first-level energy consumption calculation data, second-level energy consumption calculation data, and third-level energy consumption calculation data; A first calculation module calculates the total energy consumption allocation based on the energy consumption data; The second calculation module calculates the allocation coefficient based on the energy consumption ratio and duration ratio of each user to all users, and the allocation coefficient includes a daily allocation coefficient, a monthly allocation coefficient and an overtime allocation coefficient; The third calculation module calculates the energy consumption apportionment amount of each user according to the total energy consumption apportionment amount and the apportionment coefficient, and further calculates the energy consumption apportionment fee of each user.

8. The energy consumption sharing calculation device for a centralized cooling and heat source system building or park according to claim 7, characterized in that: The acquisition module, the first calculation module, the second calculation module and the third calculation module are controlled to execute the energy consumption sharing calculation method for a centralized cold and heat source system building or park according to any one of claims 1 to 6.

9. An electronic device, characterized in that, include: Communication interface, processor, memory; Wherein, the memory is used to store program instructions, and when the program instructions are executed by the processor communicatively connected to the memory through the communication interface, the electronic device implements the energy consumption sharing calculation method for the building or park of the centralized cooling and heat source system according to any one of claims 1 to 6.

10. A computer-readable storage medium having program instructions stored thereon, characterized in that, When the program instructions are executed by a computer, the computer implements the energy consumption sharing calculation method for the building or park of the centralized cooling and heat source system according to any one of claims 1 to 6.

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