Method, device and equipment for determining energy cost of integrated energy station based on database

Abstract

The present invention relates to a method, device and equipment for determining the energy cost of an integrated energy station based on a database, the method comprising: determining temperature-related parameters corresponding to the cold and hot load indicators and the hourly temperature of the area to be determined according to the cold and hot load indicators and the database, determining the cumulative heating and cooling capacity of the building to be determined on a daily, monthly and energy supply season basis according to the cold and hot load indicators, the temperature-related parameters and the hourly temperature of the area to be determined; determining the energy consumption of the integrated energy station of the building to be determined on a daily, monthly and energy supply season basis according to the determined cumulative heating and cooling capacity, the performance parameters of the energy supply equipment and the supply and return water temperature of the cooling season and the heating season; determining the energy cost of the integrated energy station of the building to be determined on a daily, monthly and energy supply season basis according to the energy consumption of the integrated energy station of the building to be determined on a daily, monthly and energy supply season basis and the cost price of each energy in the integrated energy station. The method of the present invention improves the work efficiency of designers.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device and equipment for determining the energy cost of an integrated energy station based on a database. Background Art

[0002] The main calculation methods at present are: statistical analysis of the annual cumulative energy consumption of existing projects; long-term projects mainly calculate energy costs by manually predicting the energy consumption of energy stations. The above two methods are traditional calculation methods, with complex calculation processes and low levels of artificial intelligence, and it is difficult to follow the growth rate of existing projects. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method, device and equipment for determining the energy cost of an integrated energy station based on a database, aiming to solve at least one of the above technical problems.

[0004] The technical solution of the present invention to solve the above technical problem is as follows: a method for determining the energy cost of an integrated energy station based on a database, the method comprising:

[0005] Obtain the cooling and heating load indicators, energy supply equipment performance parameters, and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined;

[0006] Determine the temperature-related parameters corresponding to the building to be determined and the hourly temperature of the area to be determined throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year;

[0007] Determine the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined based on the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year;

[0008] According to the daily, monthly and energy supply season accumulated heating and cooling capacity, the energy supply equipment performance parameters and the supply and return water temperature in the cooling and heating seasons, respectively determine the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the comprehensive energy station of the building to be determined, wherein the energy consumption includes at least one of the electricity consumption, gas consumption and water consumption;

[0009] According to the daily energy consumption, monthly energy consumption, energy consumption during the energy supply season of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station, the daily energy cost, monthly energy cost and energy cost during the energy supply season of the integrated energy station of the building to be determined are determined.

[0010] The beneficial effect of the present invention is that in the process of determining the daily energy cost, monthly energy cost and energy cost of the energy supply season of the comprehensive energy station of the to-be-determined building, no manual calculation is required. The daily energy cost, monthly energy cost and energy cost of the energy supply season of the comprehensive energy station of the to-be-determined building can be determined through the cold and heat load indicators corresponding to the to-be-determined building in the to-be-determined area and a pre-established database. The determination process is simple and can improve data processing efficiency.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Further, the temperature-related parameters include temperature-related parameters for the cooling season and temperature-related parameters for the heating season, and the hourly temperature of the area to be determined throughout the year includes the outdoor hourly temperature for the cooling season and the outdoor hourly temperature for the heating season; the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined is determined based on the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year, including:

[0013] Determine the cumulative cooling capacity of the building to be determined in the cooling season according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the cooling season;

[0014] According to the heating and cooling load index, the heating season temperature-related parameters and the outdoor hourly temperature of the area to be determined during the heating season, the cumulative heating supply of the building to be determined during the heating season is determined, and the daily, monthly and energy season cumulative heating and cooling supply includes the cumulative cooling supply in the cooling season and the cumulative heating supply in the heating season.

[0015] The beneficial effect of adopting the above further scheme is that the cumulative cooling supply of the cooling season and the cumulative heating supply of the heating season can be calculated respectively based on the temperature-related parameters of the cooling season and the temperature-related parameters of the heating season, as well as the hourly outdoor temperature of the cooling season and the hourly outdoor temperature of the heating season, so that the cumulative heating and cooling supply on a daily, monthly, and energy supply season basis can be calculated separately for the cooling season and the heating season, thereby reducing the amount of calculation.

[0016] Further, the above-mentioned cooling season temperature-related parameters include the start and end time of the cooling season and the indoor temperature of the cooling season, and the cooling and heating load indicators include the cooling load indicator and the heating load indicator; the determining the cooling season cumulative cooling capacity of the to-be-determined building according to the cooling and heating load indicators, the cooling season temperature-related parameters and the outdoor hourly temperature of the to-be-determined area during the cooling season includes:

[0017] Determine the maximum temperature of the cooling season according to the outdoor hourly temperature of the cooling season in the area to be determined;

[0018] According to the cooling load index, the indoor temperature in the cooling season, the start and end time of the cooling season, the outdoor hourly temperature in the cooling season and the maximum temperature in the cooling season, the cumulative cooling capacity of the building to be determined in the cooling season is determined by a first formula, wherein the first formula is:

[0019] Q1=∑q a1 =q1(t a1 -t s1 ) / (t max -t s1 )]S

[0020] Among them, Q1 represents the cumulative cooling capacity in the cooling season, q a1 represents the instantaneous heat consumption of the building, q1 represents the cooling load index, t s1 Indicates the indoor temperature in the cooling season, t a1 Indicates the outdoor hourly temperature during the cooling season, t max It represents the maximum temperature in the cooling season, and S represents the cooling area.

[0021] The beneficial effect of adopting the above further solution is that, based on the first formula, the cumulative cooling capacity during the cooling season can be accurately calculated.

[0022] Further, the above-mentioned heating season temperature-related parameters include the number of heating days in the heating season and the indoor temperature in the heating season, the cooling and heating load indicators include the cooling load indicator and the heating load indicator, and the heating season cumulative heating amount of the to-be-determined building is determined according to the cooling and heating load indicators, the heating season temperature-related parameters and the outdoor hourly temperature in the heating season of the to-be-determined area, including:

[0023] Determine the minimum temperature of the heating season according to the outdoor hourly temperature of the heating season in the area to be determined;

[0024] According to the heat load index, the indoor temperature in the heating season, the number of heating days in the heating season, the outdoor hourly temperature in the heating season and the minimum temperature in the heating season, the cumulative heating supply in the heating season of the building to be determined is determined by a second formula, wherein the second formula is:

[0025] Q2=∑q a2 =q2(t s2 -t a2 ) / (t s2 -t min )]S

[0026] Among them, Q2 represents the cumulative heat supply during the heating season, q a2 represents the instantaneous heat consumption of the building, q2 represents the heat load index, t s2 represents the indoor temperature in the heating season, t a2 represents the outdoor hourly temperature during the heating season, t min It represents the lowest temperature in the heating season, and S represents the heating area.

[0027] The beneficial effect of adopting the above further solution is that, based on the second formula, the cumulative heating amount during the heating season can be accurately calculated.

[0028] Furthermore, the hourly temperatures of each area in the above database throughout the year are obtained based on the Dest software.

[0029] The beneficial effect of adopting the above further solution is that the hourly temperature of each area throughout the year can be accurately obtained from the Dest software.

[0030] Furthermore, the above database is established in the following way:

[0031] Obtaining cooling and heating load indicators corresponding to different buildings in different areas, temperature-related parameters corresponding to each cooling and heating load indicator, and hourly temperatures of each area throughout the year;

[0032] Determine the outdoor hourly temperature in the cooling season and the outdoor hourly temperature in the heating season corresponding to the different buildings in the different areas according to the hourly temperatures throughout the year of each of the areas corresponding to the different buildings in the different areas;

[0033] The database is constructed according to the cooling and heating load indicators corresponding to different buildings in the different areas, the temperature-related parameters corresponding to each of the cooling and heating load indicators, and the outdoor hourly temperatures in the cooling season and the outdoor hourly temperatures in the heating season corresponding to different buildings in the different areas.

[0034] The beneficial effect of adopting the above further scheme is that a database is constructed based on the heating and cooling load indicators corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the heating and cooling load indicators, and the hourly temperatures of each of the areas throughout the year, which can facilitate the determination of the energy costs corresponding to different buildings in different areas.

[0035] In a second aspect, in order to solve the above technical problems, the present invention also provides a device for determining the energy cost of an integrated energy station based on a database, the device comprising:

[0036] A parameter acquisition module is used to obtain the cooling and heating load indicators, energy supply equipment performance parameters and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined;

[0037] A parameter determination module, for determining the temperature-related parameters corresponding to the to-be-determined building and the hourly temperature of the to-be-determined area throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year;

[0038] The cumulative heating and cooling capacity determination module is used to determine the daily, monthly and energy supply season cumulative heating and cooling capacity of the to-be-determined building according to the cooling and heating load index, the temperature-related parameters and the hourly temperature of the to-be-determined area throughout the year;

[0039] An energy consumption determination module is used to determine the daily energy consumption, monthly energy consumption and energy consumption of the integrated energy station of the to-be-determined building according to the daily, monthly and energy supply season cumulative heating and cooling amounts, the energy supply equipment performance parameters and the supply and return water temperatures in the cooling and heating seasons, respectively, wherein the energy consumption includes at least one of electricity consumption, gas consumption and water consumption;

[0040] The energy cost determination module is used to determine the daily energy cost, monthly energy cost and energy supply season cost of the integrated energy station of the building to be determined based on the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station.

[0041] Furthermore, the temperature-related parameters include cooling season temperature-related parameters and heating season temperature-related parameters, and the annual hourly temperature of the area to be determined includes the outdoor hourly temperature in the cooling season and the outdoor hourly temperature in the heating season;

[0042] The energy consumption determination module is specifically used to determine the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined based on the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year:

[0043] Determine the cumulative cooling capacity of the building to be determined in the cooling season according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the cooling season;

[0044] According to the heating and cooling load index, the heating season temperature-related parameters and the outdoor hourly temperature of the area to be determined during the heating season, the cumulative heating supply of the building to be determined during the heating season is determined, and the daily, monthly and energy season cumulative heating and cooling supply includes the cumulative cooling supply in the cooling season and the cumulative heating supply in the heating season.

[0045] In the third aspect, in order to solve the above-mentioned technical problems, the present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method of determining the energy cost of an integrated energy station based on a database of the present application is implemented.

[0046] In a fourth aspect, in order to solve the above-mentioned technical problems, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method of determining the energy cost of an integrated energy station based on a database of the present application is implemented.

[0047] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for describing the embodiments of the present invention are briefly introduced below.

[0049] Figure 1 A schematic flow chart of a method for determining the energy cost of an integrated energy station based on a database provided by one embodiment of the present invention;

[0050] Figure 2 A flowchart of another method for determining the energy cost of an integrated energy station based on a database provided by an embodiment of the present invention;

[0051] Figure 3 A schematic diagram of the structure of a device for determining the energy cost of an integrated energy station based on a database provided by one embodiment of the present invention;

[0052] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The principles and features of the present invention are described below. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0054] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0055] The solution provided by the embodiment of the present invention can be applied to any application scenario where the energy cost of a comprehensive energy station of a building in a certain area needs to be calculated. The solution provided by the embodiment of the present invention can be executed by any electronic device, for example, it can be a user's terminal device, including at least one of the following: a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, a smart TV, and a smart car device.

[0056] The embodiment of the present invention provides a possible implementation method, such as Figure 1 As shown, a flowchart of a method for determining the energy cost of an integrated energy station based on a database is provided. The solution can be executed by any electronic device, for example, a terminal device, or jointly executed by a terminal device and a server. For the convenience of description, the method provided by the embodiment of the present invention will be described below using a terminal device as an example of an execution subject. Figure 1 The method may include the following steps:

[0057] Step S110, obtaining the cooling and heating load indexes, energy supply equipment performance parameters, and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined;

[0058] Step S120, determining the temperature-related parameters corresponding to the to-be-determined building and the hourly temperature of the to-be-determined area throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year;

[0059] Step S130, determining the daily, monthly, and energy supply season cumulative heating and cooling capacity of the to-be-determined building according to the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the to-be-determined area throughout the year;

[0060] Step S140, according to the daily, monthly and energy supply season cumulative heating and cooling amounts, the energy supply equipment performance parameters and the supply and return water temperatures in the cooling and heating seasons, respectively determine the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the integrated energy station of the to-be-determined building, wherein the energy consumption includes at least one of electricity consumption, gas consumption and water consumption;

[0061] Step S150, determining the daily energy cost, monthly energy cost and energy supply season cost of the integrated energy station of the building to be determined based on the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station.

[0062] Through the method of the present invention, in the process of determining the daily energy cost, monthly energy cost and energy cost of the energy supply season of the integrated energy station of the to-be-determined building, no manual calculation is required. The daily energy cost, monthly energy cost and energy cost of the energy supply season of the integrated energy station of the to-be-determined building can be determined through the cold and heat load indicators corresponding to the to-be-determined building in the to-be-determined area and a pre-established database. The determination process is simple and can improve data processing efficiency.

[0063] The scheme of the present invention is further described below in conjunction with the following specific embodiments. In this embodiment, in order to deepen the understanding of the scheme of the present application, the various terms appearing in the text are explained below:

[0064] National civil building heating, ventilation and air conditioning meteorological design parameters:

[0065] Cooling and heating load index: the amount of cooling, heating and electricity consumed per unit building area

[0066] Energy supply equipment performance parameters: performance parameters of heating or cooling equipment, water pumps and other equipment in the energy station.

[0067] Supply and return water temperatures in cooling and heating seasons: supply and return water temperatures in cooling or heating seasons.

[0068] Hourly temperature throughout the year: refers to the outdoor temperature at every moment of the year;

[0069] Daily energy consumption: refers to the energy consumption in one day;

[0070] Monthly energy consumption: refers to the energy consumption in one month;

[0071] Energy consumption in the energy supply season: refers to the energy consumption in the energy supply season, where the energy supply season refers to the cooling season or the heating season;

[0072] Outdoor hourly temperature during cooling season: refers to the outdoor temperature at every moment during cooling season;

[0073] Outdoor hourly temperature during the heating season: refers to the outdoor temperature at each moment during the heating season;

[0074] See also Figure 1 and Figure 2 The provided method for determining the energy cost of an integrated energy station based on a database may include the following steps:

[0075] Step S110, obtaining the cooling and heating load indexes, energy supply equipment performance parameters, and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined;

[0076] The area to be determined refers to the area where the energy cost of the integrated energy station needs to be determined. The area can be a city or a street, which is not limited in this application. The building to be determined refers to a building in the area to be determined where the energy cost of the integrated energy station needs to be determined, such as a shopping mall or a residential building, which is not limited in this application.

[0077] Before executing this application plan, you need to build a database first, that is, Figure 2 The new database shown in the figure is constructed as follows:

[0078] Get the cooling and heating load indicators corresponding to different buildings in different areas ( Figure 2 ), the temperature-related parameters corresponding to each of the cold and hot load indicators and the hourly temperatures of each of the areas throughout the year;

[0079] According to the hourly temperatures of each area throughout the year corresponding to the different buildings in the different areas, the outdoor hourly temperatures in the cooling season and the outdoor hourly temperatures in the heating season corresponding to the different buildings in the different areas are determined ( Figure 2 Hourly outdoor meteorological parameters for cooling and heating seasons as shown in );

[0080] The database is constructed according to the cooling and heating load indicators corresponding to the different buildings in the different areas, the temperature-related parameters corresponding to each of the cooling and heating load indicators, and the outdoor hourly temperatures in the cooling season and the outdoor hourly temperatures in the heating season corresponding to the different buildings in the different areas. Figure 2 ) as shown in .

[0081] Optionally, the hourly temperature throughout the year of each of the areas in the above database is obtained based on the Dest software. Based on the Dest software, the hourly temperature data throughout the year of typical cities across the country can be obtained.

[0082] Among them, one area may include multiple buildings, and the cooling and heating load indicators corresponding to each building may be different, and the temperature-related parameters corresponding to each cooling and heating load indicator may also be different.

[0083] Among them, the above temperature-related parameters include cooling season temperature-related parameters and heating season temperature-related parameters. The cooling season temperature-related parameters include the start and end time of the cooling season and the indoor temperature of the cooling season. The heating season temperature-related parameters include the start and end time of the heating season and the indoor temperature of the heating season.

[0084] Among them, the indoor temperature in the cooling season and the indoor temperature in the heating season can be based on Figure 2 The national civil building heating, ventilation and air conditioning meteorological design parameters are determined as shown in .

[0085] Step S120, determining the temperature-related parameters corresponding to the building to be determined and the hourly temperature of the area to be determined throughout the year according to the cold and heat load index and a preset database, wherein the database stores the cold and heat load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and heat load indicators, and the hourly temperature of each of the areas throughout the year.

[0086] Step S130, determining the daily, monthly, and energy supply season cumulative heating and cooling capacity of the to-be-determined building according to the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the to-be-determined area throughout the year;

[0087] The daily, monthly and seasonal cumulative heating and cooling capacity refers to the daily cumulative heating and cooling capacity, monthly cumulative heating and cooling capacity, and the total energy consumed in the cooling and heating seasons of the building to be determined within one year. Figure 2 The annual cumulative cooling and heating capacity of the project shown in .

[0088] Step S140, dividing the daily, monthly, and seasonal cumulative heating and cooling capacity by the energy supply equipment performance parameter ( Figure 2 The comprehensive energy station energy supply equipment performance parameters (i.e. comprehensive efficiency) shown in the figure can be used to determine the power or gas consumption of the energy supply equipment; the circulating water volume can be determined by the supply and return water temperatures in the cooling and heating seasons, and then the power and water consumption can be determined by the water pump power and the overall leakage rate of the cooling and heating systems. Figure 2 The cooling season and heating season supply and return water temperatures shown in ), the daily energy consumption, monthly energy consumption and energy consumption of the comprehensive energy station of the building to be determined can be determined respectively, and the energy consumption includes at least one of the electricity consumption, gas consumption and water consumption ( Figure 2 The daily, monthly and seasonal electricity, gas and water consumption of the comprehensive energy station shown in the figure);

[0089] Step S150, according to the daily energy consumption, monthly energy consumption, energy consumption in the energy supply season of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station, determine the daily energy cost, monthly energy cost and energy cost of the integrated energy station of the building to be determined ( Figure 2 The daily, monthly and seasonal energy costs of the comprehensive energy station shown in ).

[0090] Among them, the cost price of each energy source includes the cost price of water, the cost price of gas and the cost price of electricity, that is, Figure 2 The electricity, gas and water prices at the energy stations shown in .

[0091] Optionally, since the temperature-related parameters include the temperature-related parameters of the cooling season and the temperature-related parameters of the heating season, the hourly temperature of the area to be determined throughout the year includes the outdoor hourly temperature of the cooling season and the outdoor hourly temperature of the heating season; then the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined is determined according to the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year, including:

[0092] Determine the cumulative cooling capacity of the building to be determined in the cooling season according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the cooling season;

[0093] According to the heating and cooling load index, the heating season temperature-related parameters and the outdoor hourly temperature of the area to be determined during the heating season, the cumulative heating supply of the building to be determined during the heating season is determined, and the daily, monthly and energy season cumulative heating and cooling supply includes the cumulative cooling supply in the cooling season and the cumulative heating supply in the heating season.

[0094] Optionally, since the above cooling season temperature-related parameters include the start and end time of the cooling season and the indoor temperature of the cooling season; the cooling and heating load index includes a cooling load index and a heating load index, the merchant determines the cooling season cumulative cooling capacity of the to-be-determined building according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the to-be-determined area during the cooling season, including:

[0095] Determine the maximum temperature of the cooling season according to the outdoor hourly temperature of the cooling season in the area to be determined;

[0096] According to the cooling load index, the indoor temperature in the cooling season, the start and end time of the cooling season, the outdoor hourly temperature in the cooling season and the maximum temperature in the cooling season, the cumulative cooling capacity of the building to be determined in the cooling season is determined by a first formula, wherein the first formula is:

[0097] Q1=∑q a1 =q1(t a1 -t s1 ) / (t max -t s1 )]S

[0098] Among them, Q1 represents the cumulative cooling capacity in the cooling season, q a1 represents the instantaneous heat consumption of the building, q1 represents the cooling load index, t s1 Indicates the indoor temperature in the cooling season, t a1 Indicates the outdoor hourly temperature during the cooling season, t max It represents the maximum temperature in the cooling season, and S represents the cooling area.

[0099] Optionally, since the above-mentioned heating season temperature-related parameters include the number of heating days in the heating season and the indoor temperature in the heating season, and the cooling and heating load indicators include the cooling load indicator and the heating load indicator, the above-mentioned determination of the heating season cumulative heating amount of the to-be-determined building according to the cooling and heating load indicators, the heating season temperature-related parameters and the outdoor hourly temperature in the heating season of the to-be-determined area includes:

[0100] Determine the minimum temperature of the heating season according to the outdoor hourly temperature of the heating season in the area to be determined;

[0101] According to the heat load index, the indoor temperature in the heating season, the number of heating days in the heating season, the outdoor hourly temperature in the heating season and the minimum temperature in the heating season, the cumulative heating supply in the heating season of the building to be determined is determined by a second formula, wherein the second formula is:

[0102] Q2=∑q a2 =q2(t s2 -t a2 ) / (t s2 -t min )]S

[0103] Among them, Q2 represents the cumulative heat supply during the heating season, q a2 represents the instantaneous heat consumption of the building, q2 represents the heat load index, t s2 represents the indoor temperature in the heating season, t a2 represents the outdoor hourly temperature during the heating season, t min It represents the lowest temperature in the heating season, and S represents the heating area.

[0104] It should be noted that the energy cost of a certain area can also be determined through the present application scheme. When determining the energy cost of a certain area, the energy cost of each building in the area can be determined based on the database in the manner described above, and then the energy cost of the area can be determined based on the energy cost of each building in the area.

[0105] Compared with the prior art, the solution of the present invention has the following advantages:

[0106] 1) Through the pre-established database, data can be automatically stored and read, which enhances the reproducibility and versatility of the project and improves the work efficiency of designers.

[0107] 2) By automatically calculating the energy consumption of the energy station, the annual comprehensive energy cost of the energy station can be accurately obtained.

[0108] Based on Figure 1 The same principle as the method shown in , the embodiment of the present invention also provides a device 20 for determining the energy cost of the integrated energy station based on a database, such as Figure 3 As shown in , the device 20 for determining the energy cost of the integrated energy station based on the database may include a parameter acquisition module 210, a parameter determination module 220, a cumulative heating and cooling capacity determination module 230, an energy consumption determination module 240 and an energy cost determination module 250, wherein:

[0109] The parameter acquisition module 210 is used to obtain the cooling and heating load indicators, energy supply equipment performance parameters and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined;

[0110] The parameter determination module 220 is used to determine the temperature-related parameters corresponding to the building to be determined and the hourly temperature of the area to be determined throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year;

[0111] The cumulative heating and cooling capacity determination module 230 is used to determine the cumulative heating and cooling capacity of the building to be determined on a daily, monthly, and energy supply season basis according to the heating, cooling, and electric heating load indicators, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year;

[0112] The energy consumption determination module 240 is used to determine the daily energy consumption, monthly energy consumption and energy consumption of the integrated energy station of the to-be-determined building according to the daily, monthly and energy supply season cumulative heating and cooling amounts, the energy supply equipment performance parameters and the supply and return water temperatures in the cooling and heating seasons, respectively, wherein the energy consumption includes at least one of electricity consumption, gas consumption and water consumption;

[0113] The energy cost determination module 250 is used to determine the daily energy cost, monthly energy cost and energy supply season cost of the integrated energy station of the building to be determined based on the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station.

[0114] Optionally, the temperature-related parameters include cooling season temperature-related parameters and heating season temperature-related parameters, and the annual hourly temperature of the area to be determined includes the outdoor hourly temperature in the cooling season and the outdoor hourly temperature in the heating season;

[0115] The energy consumption determination module 240 is specifically used to determine the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined based on the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year:

[0116] Determine the cumulative cooling capacity of the building to be determined in the cooling season according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the cooling season;

[0117] According to the heating and cooling load index, the heating season temperature-related parameters and the outdoor hourly temperature of the area to be determined during the heating season, the cumulative heating supply of the building to be determined during the heating season is determined, and the daily, monthly and energy season cumulative heating and cooling supply includes the cumulative cooling supply in the cooling season and the cumulative heating supply in the heating season.

[0118] Optionally, the above-mentioned cooling season temperature-related parameters include the start and end time of the cooling season and the indoor temperature of the cooling season; the cooling and heating load indicators include the cooling load indicator and the heating load indicator. When the above-mentioned energy consumption determination module 240 determines the cooling season cumulative cooling capacity of the to-be-determined building according to the cooling and heating load indicators, the cooling season temperature-related parameters and the outdoor hourly temperature of the to-be-determined area in the cooling season, it is specifically used to:

[0119] Determine the maximum temperature of the cooling season according to the outdoor hourly temperature of the cooling season in the area to be determined;

[0120] According to the cooling load index, the indoor temperature in the cooling season, the start and end time of the cooling season, the outdoor hourly temperature in the cooling season and the maximum temperature in the cooling season, the cumulative cooling capacity of the building to be determined in the cooling season is determined by a first formula, wherein the first formula is:

[0121] Q1=∑q a1 =q1(t a1 -t s1 ) / (t max -t s1 )]S

[0122] Among them, Q1 represents the cumulative cooling capacity in the cooling season, q a1 represents the instantaneous heat consumption of the building, q1 represents the cooling load index, t s1 Indicates the indoor temperature in the cooling season, t a1 Indicates the outdoor hourly temperature during the cooling season, t max It represents the maximum temperature in the cooling season, and S represents the cooling area.

[0123] Optionally, the heating season temperature-related parameters include the number of heating days in the heating season and the indoor temperature in the heating season, the cooling and heating load indicators include the cooling load indicator and the heating load indicator, and the energy consumption determination module 240 is specifically used to determine the heating season cumulative heating supply of the to-be-determined building according to the cooling and heating load indicators, the heating season temperature-related parameters and the outdoor hourly temperature in the heating season of the to-be-determined area:

[0124] Determine the minimum temperature of the heating season according to the outdoor hourly temperature of the heating season in the area to be determined;

[0125] According to the heat load index, the indoor temperature in the heating season, the number of heating days in the heating season, the outdoor hourly temperature in the heating season and the minimum temperature in the heating season, the cumulative heating supply in the heating season of the building to be determined is determined by a second formula, wherein the second formula is:

[0126] Q2=∑q a2 =q2(t s2 -t a2 ) / (t s2 -tmin )]S

[0127] Among them, Q2 represents the cumulative heat supply during the heating season, q a2 represents the instantaneous heat consumption of the building, q2 represents the heat load index, t s2 represents the indoor temperature in the heating season, t a2 represents the outdoor hourly temperature during the heating season, t min It represents the lowest temperature in the heating season, and S represents the heating area.

[0128] Optionally, the hourly temperatures throughout the year for each of the areas in the above database are obtained based on Dest software.

[0129] Optionally, the above database is established by:

[0130] Obtaining cooling and heating load indicators corresponding to different buildings in different areas, temperature-related parameters corresponding to each cooling and heating load indicator, and hourly temperatures of each area throughout the year;

[0131] Determine the outdoor hourly temperature in the cooling season and the outdoor hourly temperature in the heating season corresponding to the different buildings in the different areas according to the hourly temperatures throughout the year of each of the areas corresponding to the different buildings in the different areas;

[0132] The database is constructed according to the cooling and heating load indicators corresponding to different buildings in the different areas, the temperature-related parameters corresponding to each of the cooling and heating load indicators, and the outdoor hourly temperatures in the cooling season and the outdoor hourly temperatures in the heating season corresponding to different buildings in the different areas.

[0133] The device for determining the energy cost of an integrated energy station based on a database in an embodiment of the present invention can execute the method for determining the energy cost of an integrated energy station based on a database provided in an embodiment of the present invention, and the implementation principle is similar. The actions performed by each module and unit in the device for determining the energy cost of an integrated energy station based on a database in each embodiment of the present invention correspond to the steps in the method for determining the energy cost of an integrated energy station based on a database in each embodiment of the present invention. For the detailed functional description of each module of the device for determining the energy cost of an integrated energy station based on a database, please refer to the description of the corresponding method for determining the energy cost of an integrated energy station based on a database shown in the previous text, and will not be repeated here.

[0134] Among them, the above-mentioned device for determining the energy cost of the integrated energy station based on the database can be a computer program (including program code) running in a computer device. For example, the device for determining the energy cost of the integrated energy station based on the database is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present invention.

[0135] In some embodiments, the device for determining the energy cost of an integrated energy station based on a database provided in an embodiment of the present invention can be implemented in a combination of software and hardware. As an example, the device for determining the energy cost of an integrated energy station based on a database provided in an embodiment of the present invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the method for determining the energy cost of an integrated energy station based on a database provided in an embodiment of the present invention. For example, the processor in the form of a hardware decoding processor can adopt one or more application specific integrated circuits (ASIC, Application Specific Integrated Circuit), DSP, programmable logic device (PLD, Programmable Logic Device), complex programmable logic device (CPLD, Complex Programmable Logic Device), field programmable gate array (FPGA, Field-Programmable Gate Array) or other electronic components.

[0136] In other embodiments, the device for determining the energy cost of the integrated energy station based on the database provided in the embodiment of the present invention can be implemented in a software manner. Figure 3 A device for determining the energy cost of an integrated energy station based on a database stored in a memory is shown, which may be software in the form of a program and a plug-in, and includes a series of modules, including a parameter acquisition module 210, a parameter determination module 220, a cumulative heating and cooling capacity determination module 230, an energy consumption determination module 240 and an energy cost determination module 250, for implementing the method for determining the energy cost of an integrated energy station based on a database provided in an embodiment of the present invention.

[0137] The modules involved in the embodiments of the present invention may be implemented by software or hardware, wherein the name of a module does not limit the module itself in some cases.

[0138] Based on the same principle as the method shown in the embodiments of the present invention, an electronic device is also provided in the embodiments of the present invention, which may include but is not limited to: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the method shown in any embodiment of the present invention by calling the computer program.

[0139] In an alternative embodiment, an electronic device is provided, such as Figure 4 As shown, Figure 4The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present invention.

[0140] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0141] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0142] The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this.

[0143] The memory 4003 is used to store the application code (computer program) for executing the solution of the present invention, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the application code stored in the memory 4003 to implement the content shown in the above method embodiment.

[0144] The electronic device may also be a terminal device. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0145] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding contents of the aforementioned method embodiment.

[0146] According to another aspect of the present invention, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for determining the energy cost of an integrated energy station based on a database provided in the implementation of the above-mentioned various embodiments.

[0147] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0148] It should be understood that the flow charts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the module, the program segment, or a part of the code contains one or more executable instructions for realizing 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 sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0149] The computer-readable storage medium provided by the embodiment of the present invention may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0150] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0151] The above description is only a preferred embodiment of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the disclosure scope involved in the present invention is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) by each other.

Claims

1. A method for determining the energy cost of an integrated energy station based on a database, characterized in that: The following steps are involved: Obtain the cooling and heating load indicators, energy supply equipment performance parameters, and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined; Determine the temperature-related parameters corresponding to the building to be determined and the hourly temperature of the area to be determined throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year; Determine the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined based on the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year; According to the daily, monthly and energy supply season accumulated heating and cooling capacity, the energy supply equipment performance parameters and the supply and return water temperature in the cooling and heating seasons, respectively determine the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the comprehensive energy station of the building to be determined, wherein the energy consumption includes at least one of the electricity consumption, gas consumption and water consumption; Determine the daily energy cost, monthly energy cost and energy cost of the integrated energy station of the building to be determined according to the daily energy consumption, monthly energy consumption and energy consumption of the energy supply season of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station; The temperature-related parameters include temperature-related parameters for the cooling season and temperature-related parameters for the heating season, and the hourly temperature of the area to be determined throughout the year includes the outdoor hourly temperature for the cooling season and the outdoor hourly temperature for the heating season; the daily, monthly, and energy supply season cumulative heating and cooling capacity of the building to be determined is determined according to the cooling and heating load index, the temperature-related parameters, and the hourly temperature of the area to be determined throughout the year, including: Determine the cumulative cooling capacity of the building to be determined in the cooling season according to the cooling and heating load index, the cooling season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the cooling season; Determine the cumulative heating supply of the building to be determined in the heating season according to the cooling and heating load index, the heating season temperature-related parameters and the outdoor hourly temperature of the area to be determined in the heating season, wherein the daily, monthly and energy supply season cumulative heating and cooling supply includes the cumulative cooling supply in the cooling season and the cumulative heating supply in the heating season; The cooling season temperature related parameters include the start and end time of the cooling season and the indoor temperature of the cooling season, and the cooling and heating load index includes a cooling load index and a heating load index; determining the cooling season cumulative cooling capacity of the to-be-determined building according to the cooling and heating load index, the cooling season temperature related parameters and the outdoor hourly temperature of the to-be-determined area during the cooling season, includes: Determine the maximum temperature of the cooling season according to the outdoor hourly temperature of the cooling season in the area to be determined; According to the cooling load index, the indoor temperature in the cooling season, the start and end time of the cooling season, the outdoor hourly temperature in the cooling season and the maximum temperature in the cooling season, the cumulative cooling capacity of the building to be determined in the cooling season is determined by a first formula, wherein the first formula is: Q1=∑q a1 =q1(t a1 -t s1 ) / (t max -t s1 )]S Among them, Q1 represents the cumulative cooling capacity in the cooling season, q a1 represents the instantaneous heat consumption of the building, q1 represents the cooling and heating load index, t s1 Indicates the indoor temperature in the cooling season, t a1 Indicates the outdoor hourly temperature during the cooling season, t max It represents the maximum temperature in the cooling season, and S represents the cooling area.

2. The method according to claim 1, characterized in that The heating season temperature related parameters include the number of heating days in the heating season and the indoor temperature in the heating season, the cooling and heating load indicators include the cooling load indicator and the heating load indicator, and determining the heating season cumulative heating amount of the to-be-determined building according to the cooling and heating load indicators, the heating season temperature related parameters and the outdoor hourly temperature in the heating season of the to-be-determined area includes: Determine the minimum temperature of the heating season according to the outdoor hourly temperature of the heating season in the area to be determined; According to the heat load index, the indoor temperature in the heating season, the number of heating days in the heating season, the outdoor hourly temperature in the heating season and the minimum temperature in the heating season, the cumulative heating supply in the heating season of the building to be determined is determined by a second formula, wherein the second formula is: Q2=∑q a2 =q2(t s2 -t a2 ) / (t s2 -t min )]S Among them, Q2 represents the cumulative heat supply during the heating season, q a2 represents the instantaneous heat consumption of the building, q2 represents the heat load index, t s2 represents the indoor temperature in the heating season, t a2 represents the outdoor hourly temperature during the heating season, t min It represents the lowest temperature in the heating season, and S represents the heating area.

3. The method according to claim 1, characterized in that The hourly temperatures of each area in the database throughout the year are obtained based on the Dest software.

4. The method according to claim 1, characterized in that: The database is established in the following way: Obtaining cooling and heating load indicators corresponding to different buildings in different areas, temperature-related parameters corresponding to each cooling and heating load indicator, and hourly temperatures of each area throughout the year; Determine the outdoor hourly temperature in the cooling season and the outdoor hourly temperature in the heating season corresponding to the different buildings in the different areas according to the hourly temperatures throughout the year of each of the areas corresponding to the different buildings in the different areas; The database is constructed according to the cooling and heating load indicators corresponding to different buildings in the different areas, the temperature-related parameters corresponding to each of the cooling and heating load indicators, and the outdoor hourly temperatures in the cooling season and the outdoor hourly temperatures in the heating season corresponding to different buildings in the different areas.

5. A device for determining the energy cost of an integrated energy station based on a database, characterized in that: The method for determining the energy cost of an integrated energy station based on a database as described in claim 1 is applicable, and the device comprises: A parameter acquisition module is used to obtain the cooling and heating load indicators, energy supply equipment performance parameters and supply and return water temperatures in the cooling and heating seasons corresponding to the buildings to be determined in the area to be determined; A parameter determination module, for determining the temperature-related parameters corresponding to the to-be-determined building and the hourly temperature of the to-be-determined area throughout the year according to the cold and hot load index and a preset database, wherein the database stores the cold and hot load indexes corresponding to different buildings in different areas, the temperature-related parameters corresponding to each of the cold and hot load indexes, and the hourly temperature of each of the areas throughout the year; The cumulative heating and cooling capacity determination module is used to determine the daily, monthly and energy supply season cumulative heating and cooling capacity of the to-be-determined building according to the cooling and heating load index, the temperature-related parameters and the hourly temperature of the to-be-determined area throughout the year; An energy consumption determination module is used to determine the daily energy consumption, monthly energy consumption and energy consumption of the integrated energy station of the to-be-determined building according to the daily, monthly and energy supply season cumulative heating and cooling amounts, the energy supply equipment performance parameters and the supply and return water temperatures in the cooling and heating seasons, respectively, wherein the energy consumption includes at least one of electricity consumption, gas consumption and water consumption; The energy cost determination module is used to determine the daily energy cost, monthly energy cost and energy supply season cost of the integrated energy station of the building to be determined based on the daily energy consumption, monthly energy consumption and energy supply season energy consumption of the integrated energy station of the building to be determined and the cost price of each energy in the integrated energy station.

6. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 4 when executing the computer program.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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