CN112561155A

CN112561155A - Technical index determination method, device, equipment and storage medium

Info

Publication number: CN112561155A
Application number: CN202011445967.2A
Authority: CN
Inventors: 丁海峰; 陈培; 陈俊丞; 陆启亮; 李易泽; 谢柠; 王朝龙; 陈伟
Original assignee: Shanghai Power Equipment Research Institute Co Ltd
Current assignee: Shanghai Power Equipment Research Institute Co Ltd
Priority date: 2020-12-08
Filing date: 2020-12-08
Publication date: 2021-03-26

Abstract

The embodiment of the invention discloses a method, a device, equipment and a storage medium for determining technical indexes. Wherein, the method comprises the following steps: acquiring a building area corresponding to each business type, a yearly preset index line graph corresponding to each business type and an energy supply period starting and ending date, and generating a yearly target load curve according to the building area, the yearly preset index line graph and the energy supply period starting and ending date; acquiring the installation condition of corresponding equipment, generating a target daily corresponding load curve according to the annual target load curve and the installation condition, and determining the multiple between the corresponding annual total energy supply and the target daily energy supply; and acquiring the running sequence of the corresponding equipment, and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the running sequence and the multiple of the corresponding equipment. According to the technical scheme provided by the embodiment of the invention, the obtained technical indexes are more accurate, and the annual operation condition of each equipment can be determined.

Description

Technical index determination method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of distributed energy utilization, in particular to a method, a device, equipment and a storage medium for determining technical indexes.

Background

The distributed energy system is a second generation energy system taking benefit scale as a rule and a distributed energy system taking natural gas as fuel, and can improve energy conversion efficiency and reduce energy transmission loss. With the rapid development of economy, the formation of urban mass spatial patterns and the improvement of living standard, the distributed energy system will be rapidly developed.

The distributed energy project needs to perform specific load analysis according to the actual cooling, heating and power load requirements of the user side, but the distributed energy system has various devices and is complicated in load analysis. The traditional method for determining the main technical indexes of the distributed energy comprises the following steps: firstly, inquiring a design manual to determine total cold load and total heat load, then selecting a load use coefficient according to experience, multiplying the total cold load by cold supply time, and then multiplying by the load use coefficient to obtain the total annual cold supply; and multiplying the total heat load by the heat supply time, then multiplying by the load use coefficient to obtain the annual total heat supply, then selecting the average refrigeration energy efficiency ratio and the heating energy efficiency ratio of the energy station according to the empirical value, and determining the annual main technical index of the energy station.

However, the problems of the above methods mainly include: (1) the result depends on experience value, and the experience value is usually a value range, which easily causes larger error; (2) the specific operation condition of each device in the energy station cannot be reflected, and data reference cannot be provided for the later operation of the energy station.

Disclosure of Invention

The embodiment of the invention provides a method, a device, equipment and a storage medium for determining technical indexes, the obtained technical indexes are more accurate, and the annual operation condition of each equipment can be determined.

In a first aspect, an embodiment of the present invention provides a method for determining a technical index, where the method includes:

acquiring a building area corresponding to each business type in an energy supply area of an energy source station, a year-round preset index line graph corresponding to each business type and an energy supply period starting and ending date corresponding to each year of the energy source station, and generating a year-round target load curve corresponding to the year-round preset index in the energy supply area of the energy source station according to the building area, the year-round preset index line graph and the energy supply period starting and ending date;

acquiring the installation condition of corresponding equipment in the energy supply area of the energy station, generating a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation condition, and determining the multiple between the corresponding annual total energy supply and the target daily energy supply;

and acquiring the running sequence of the corresponding equipment, and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the running sequence of the corresponding equipment and the multiple.

In a second aspect, an embodiment of the present invention provides a technical index determining apparatus, where the apparatus includes:

the system comprises a first curve generation module, a second curve generation module and a third curve generation module, wherein the first curve generation module is used for acquiring a building area corresponding to each business type in an energy supply area of an energy station, a yearly preset index line graph corresponding to each business type and an energy supply period starting and ending date corresponding to each year of the energy station, and generating a yearly target load curve corresponding to the yearly preset index in the energy supply area of the energy station according to the building area, the yearly preset index line graph and the energy supply period starting and ending date;

the curve and multiple determining module is used for acquiring the installation condition of corresponding equipment in the energy supply area of the energy station, generating a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation condition, and determining the multiple between the corresponding annual total energy supply and the target daily energy supply;

and the technical index determining module is used for acquiring the running sequence of the corresponding equipment and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the running sequence of the corresponding equipment and the multiple.

In a third aspect, an embodiment of the present invention provides a computer device, where the computer device includes:

one or more processors;

storage means for storing one or more programs;

when the one or more programs are executed by the one or more processors, the one or more processors implement the technical index determination method according to any embodiment of the present invention.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the technical index determination method according to any embodiment of the present invention.

The embodiment of the invention provides a method, a device, equipment and a storage medium for determining technical indexes, which comprises the steps of firstly obtaining building areas corresponding to various business types in an energy supply area of an energy station, a year-round preset index broken line graph corresponding to the various business types and energy supply period starting and ending dates corresponding to the energy station in each year, generating year-round target load curves corresponding to the year-round preset indexes in the energy supply area of the energy station according to the building areas, the year-round preset index broken line graphs and the energy supply period starting and ending dates, then obtaining the installation condition of the corresponding equipment in the energy supply area of the energy station, generating target day-corresponding load curves in the energy supply area of the energy station according to the year-round target load curves and the installation condition, determining the multiple between the corresponding year-round total energy supply and the target day energy supply, finally obtaining the operation sequence of the corresponding equipment, and obtaining the year-round target load curves, The technical indexes of the energy station and each corresponding device are determined according to the target daily corresponding load curve, the running sequence and the multiple of the corresponding device, the obtained technical indexes are more accurate, the annual running condition of each device can be determined, the control on the later-stage running strategy of the corresponding device in the energy supply area of the energy station is facilitated, and the running of the device is more reasonable.

Drawings

Fig. 1 is a flowchart of a technical index determining method according to an embodiment of the present invention;

fig. 2A is a flowchart of a technical index determining method according to a second embodiment of the present invention;

fig. 2B is a line drawing of hourly hot and cold indicators for a unit area of a whole year in an office state in the method according to the second embodiment of the present invention;

FIG. 2C is a line drawing of hourly space specific heat and cold indicators for a whole year area in a commercial business in accordance with a second embodiment of the present invention;

fig. 2D is a time-by-time unit area hot and cold index line drawing of the hotel business state in the method provided by the second embodiment of the present invention;

FIG. 2E is a time-by-time unit area hot and cold index line graph of the state of health of the academy of health provided by the second embodiment of the present invention;

fig. 2F is a time-by-time cold and heat load curve diagram of the energy source station in the method according to the second embodiment of the present invention;

fig. 2G is a graph of the target time-by-time cooling and heating loads of the energy source station in the method according to the second embodiment of the present invention;

fig. 3 is a schematic structural diagram of a technical index determining apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Example one

Fig. 1 is a flowchart of a technical indicator determination method according to an embodiment of the present invention, and this embodiment is applicable to a case where technical indicators of energy source stations and corresponding devices in an energy source station energy supply area are determined. The technical index determining method provided by this embodiment may be executed by the technical index determining apparatus provided by the embodiment of the present invention, and the apparatus may be implemented by software and/or hardware and integrated in a computer device executing the method.

Referring to fig. 1, the method of the present embodiment includes, but is not limited to, the following steps:

and S110, acquiring the building area corresponding to each business type in the energy supply area of the energy station, the annual preset index line graph corresponding to each business type and the energy supply period starting and ending date corresponding to each year of the energy station, and generating an annual target load curve corresponding to the annual preset index in the energy supply area of the energy station according to the building area, the annual preset index line graph and the energy supply period starting and ending date.

The business type mainly refers to a building form with different purposes and functions, such as offices, businesses, hospitals, schools, hotels, railway stations, airport terminals, exhibition halls, gymnasiums, residential houses, data centers, computer rooms and the like. Distributed energy is a novel energy utilization mode for providing energy supply for users by utilizing small equipment, and by the mode, energy conversion efficiency can be improved, energy transmission loss can be reduced, and resources can be saved. The energy station in the embodiment of the invention mainly refers to a distributed energy station. The preset index may be a pre-designed index. The energy supply period start-stop date can be the energy station annual cooling period start-stop date and/or heating period start-stop date determined according to the annual main meteorological data of the energy station location. The target load is a load corresponding to a preset index.

In order to determine the technical indexes of the energy station and each corresponding device in the energy supply area of the energy station, firstly, the building area corresponding to each business type, such as the building area corresponding to the office business type, can be obtained according to the relevant data of all buildings in the energy supply area of the energy station; then, modeling and simulating the buildings corresponding to the various business types by adopting load design software (such as Dest or Hongye) to obtain annual preset index line graphs corresponding to the various business types, such as annual unit area hourly cold index line graphs corresponding to office business states; and then acquiring the energy supply period starting and ending date corresponding to each year of the energy source station according to the meteorological data. And then overlapping the annual preset index line graphs corresponding to the various business types according to the building area corresponding to the various business types, the annual preset index line graph corresponding to the various business types and the energy supply period starting and ending date, so as to generate an annual target load curve corresponding to the annual preset index in the energy supply area of the energy station, for example, when the annual preset index is the annual unit area hourly cooling index, the generated annual target load curve is the annual hourly cooling load line graph.

In the case of generating the annual target load curve, the target load having a negative target load may be displayed as a positive value for smooth progress of the subsequent process.

And S120, acquiring the installation condition of corresponding equipment in the energy supply area of the energy station, generating a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation condition, and determining the multiple between the corresponding annual total energy supply and the target daily energy supply.

After the annual target load curve is obtained, the installation condition of corresponding equipment in the energy supply area of the energy station can be obtained in a query mode, the specific date of the target day is determined according to the annual target load curve and the installation condition, and then the target day corresponding load curve in the energy supply area of the energy station is generated according to the specific date of the target day. After the target daily corresponding load curve is determined, a multiple between the corresponding annual total energy supply and the target daily energy supply can be determined according to the annual target load curve and the target daily corresponding load curve.

Optionally, before the obtaining of the installed condition of the corresponding device in the energy supply area of the energy station, and generating the target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installed condition, the method may further specifically include: acquiring values of preset indexes corresponding to various business types and a load simultaneous use coefficient; for each of the various business types, multiplying a value of a preset index corresponding to the current business type by a corresponding building area to obtain a first preset load; accumulating all the first preset loads, and multiplying a second load value obtained after accumulation by a load simultaneous use coefficient to obtain a total target load of the energy station installation; and determining the installation condition of corresponding equipment in the energy supply area of the energy station according to the total target load of the energy station installation, the energy supply condition of the energy station and the energy type.

The installation condition comprises the type selection of each device, the parameters of each device and the quantity of each device. The load simultaneous use coefficient can be understood as the corresponding use rate when multiple electrical devices are used simultaneously. The first preset load corresponds to a preset index, the total target load corresponds to a first preset load, the first preset load can be understood as a preset load of a current state type corresponding to the preset index, the total target load can be understood as a total preset load of all state types corresponding to the first preset load, for example, when the preset index is a cold index, the corresponding first preset load is a cold load of the current state type, and the total target load is a total cold load of the energy station.

Specifically, the value of the preset index corresponding to each business model and the load simultaneous use coefficient, such as the value of the preset index corresponding to the office model, the value of the preset index corresponding to the business model, the value of the preset index corresponding to the hotel model, and the like, may be determined by querying the relevant design manual. And then multiplying the value of the preset index corresponding to each state type in each state type by the corresponding building area to obtain the preset load of each state type, accumulating the preset loads corresponding to each state to obtain the total preset load corresponding to all the state types, and multiplying the total preset load by the load simultaneous use coefficient to obtain the total target load of the energy station installation. The installation condition of corresponding equipment in an energy station energy supply area can be determined according to the total target load of the energy station installation, the energy supply condition (such as energy supply equipment price or energy source price) and the energy type (such as electricity, water, natural gas and the like) of the energy station, for example, the type selection of each equipment (such as an internal combustion generator, a smoke hot water type lithium bromide unit or a direct combustion type lithium bromide unit and the like), the parameter of each equipment, the quantity of each equipment and the like.

In the embodiment of the invention, the total target load of the energy station installation is determined firstly, and then the energy supply condition and the energy type are combined, so that the installation condition of the corresponding equipment in the determined energy station energy supply area is more consistent with the actual condition, the waste of energy and equipment is avoided, and the cost, the time and the energy are saved.

Further, the obtaining of the installation situation of the corresponding device in the energy supply area of the energy station, and generating a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation situation may specifically include: determining the total installed power of corresponding equipment according to the installed condition; determining a date corresponding to the situation that the difference value between the maximum value of the target load in the annual target load curve and the total installed power of the corresponding equipment does not exceed a preset threshold value as a target day; and determining the load curve corresponding to the target day as the load curve corresponding to the target day in the energy supply area of the energy station.

The preset threshold may be designed in advance, or may be determined according to specific situations. The target daily correspondence load curve may be a curve corresponding to the annual target load curve and representing a change tendency of the annual target load, for example, when the annual target load curve is a year-by-year cooling load curve, the target daily correspondence load curve is a target daily cooling load curve. The target day is understood to mean that the change situation of the load curve corresponding to the target day can represent the date corresponding to the change trend of the target load all the year around, and the target day corresponds to a natural day in a normal condition.

Specifically, the total installed power of the corresponding equipment can be determined by multiplying the corresponding power parameter of each equipment by the number of each equipment according to the installed condition; and then subtracting the total installed power of the corresponding equipment from the maximum value of the target load in the annual target load curve to obtain the difference value of the maximum value and the total installed power of the corresponding equipment, comparing the difference value with the preset threshold value, and if the difference value is smaller than or equal to the preset threshold value, determining the date corresponding to the maximum value of the target load as the target day. And determining the load curve corresponding to the target day as the load curve corresponding to the target day in the energy supply area of the energy station so as to subsequently determine the technical indexes of the energy station and each corresponding device.

In the embodiment of the invention, the mode of determining the target day can effectively represent the annual target load change trend, so that the subsequently determined corresponding technical indexes are more accurate.

Further, the annual target load curve comprises an annual cold load curve and/or an annual heat load curve, and the target day corresponding load curve comprises a first target day cold load curve and/or a second target day heat load curve; correspondingly, the determining the multiple between the corresponding annual total energy supply and the target daily energy supply may specifically include: dividing the area of the region formed by the annual cold load curve and the coordinate axis by the area of the region formed by the cold load curve and the coordinate axis of the first target day to obtain a first multiple between the corresponding annual total cooling capacity and the cooling capacity of the first target day; and/or dividing the area of the region formed by the annual heat load curve and the coordinate axis by the area of the region formed by the heat load curve and the coordinate axis of the second target day to obtain a second multiple between the corresponding annual total heat supply and the heat supply of the second target day.

Wherein the first target day and the second target day are not the same natural day in general.

Specifically, the area of an area formed by an annual cold load curve and a coordinate axis is determined and recorded as a first area; determining the area of an area formed by a cold load curve and a coordinate axis of the first target day, and recording as a second area; dividing the first area by the second area to obtain a first multiple between the annual total cooling capacity and a first target daily cooling capacity; and/or determining the area of the region formed by the annual heat load curve and the coordinate axis as a third area, and then determining the area of the region formed by the annual heat load curve and the coordinate axis as a fourth area; and dividing the third area and the fourth area to obtain a second multiple between the annual total heat supply and the heat supply of the second target day, so that the technical indexes of the corresponding energy station and the corresponding equipment can be determined conveniently according to the first multiple and the second multiple.

In the implementation of the invention, by determining the multiple between the corresponding annual total energy supply and the target daily energy supply, some technical indexes of the target day can be amplified into corresponding technical indexes of the whole year through the multiple, thereby simplifying the determination process of the technical indexes of the energy station and each corresponding device and saving time and cost.

S130, acquiring the running sequence of the corresponding equipment, and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the running sequence and the multiple of the corresponding equipment.

The technical indexes of the energy station and each corresponding device can be determined according to the energy supply condition of the energy station, the selection type of each device, the parameters of each device and the like. For example, when the equipment is an internal combustion engine generator, the corresponding technical indexes may include the annual total power generation amount of the internal combustion engine, the annual total power purchasing amount of the energy station, the annual total power supply amount of the energy station, the annual water supplement amount of the energy station, the annual energy supply amount of each corresponding equipment, and the like.

The method comprises the steps of obtaining the operation sequence of corresponding equipment in an energy supply area, determining the operation priority of each equipment, and obtaining the technical indexes of an energy station and each corresponding equipment in a corresponding mode according to a yearly target load curve, a target daily corresponding load curve, the operation priority and multiple of each equipment so as to provide an accurate data source for a scheme and an operation strategy of a distributed energy project.

Optionally, the corresponding device includes a refrigeration device and a heating device; correspondingly, the obtaining the operation sequence of the corresponding device, and determining the technical indexes of the energy station and each corresponding device according to the annual target load curve, the target daily corresponding load curve, the operation sequence of the corresponding device, and the multiple may specifically include: determining the annual cooling capacity of the energy station according to the annual cooling load curve and the area of the region formed by the coordinate axes; determining the annual heat supply quantity of the energy station according to the annual heat load curve and the area of an area formed by coordinate axes; determining the cooling power consumption of the first target day according to the cooling load curve of the first target day, the operation sequence of the refrigeration equipment and the parameters of the refrigeration equipment, and multiplying the cooling power consumption of the first target day by a first multiple to obtain the annual cooling power consumption of the energy station; determining the heat supply power consumption of the second target day according to the heat load curve of the second target day, the operation sequence of the heating equipment and the parameters of each heating equipment, and multiplying the heat supply power consumption of the second target day by a second multiple to obtain the annual heat supply power consumption of the energy station; adding the annual cooling power consumption of the energy station and the annual heating power consumption of the energy station to obtain the annual power consumption of the energy station; determining the refrigerating capacity of each refrigerating device in a first target day respectively corresponding to the refrigerating devices according to the cold load curve of the first target day and the operation sequence of the refrigerating devices, and multiplying the refrigerating capacity of each refrigerating device in the first target day respectively corresponding to the refrigerating devices by a first multiple to obtain the annual refrigerating capacity respectively corresponding to each refrigerating device; and determining the heating capacity of each heating device in the second target day according to the heat load curve of the second target day and the operation sequence of the heating devices, and multiplying the heating capacity of each heating device in the second target day by the second multiple to obtain the annual heating capacity of each heating device.

Specifically, since the point in the cold load curve of the first target day is usually the cold load corresponding to each hour in 24 hours of a natural day, the cold supply power consumption of the first target day can be determined according to the cold load corresponding to each hour, the operation sequence of the refrigeration equipment, the single-machine refrigeration parameters of each refrigeration equipment, and the energy efficiency ratio of each refrigeration equipment, and the annual cold supply power consumption of the energy station can be obtained by multiplying the cold supply power consumption of the first target day by the first multiple. The energy efficiency ratio of the refrigeration equipment refers to the ratio of rated refrigerating capacity to rated power (power consumption). Similar to the annual cooling power consumption determination process, since the point in the heat load curve of the second target day is usually the heat load corresponding to each hour in 24 hours of a natural day, the heating power consumption of the second target day can be determined according to the heat load corresponding to each hour, the operation sequence of the heating equipment, the single machine refrigeration parameters of each heating equipment and the energy efficiency ratio of each heating equipment, and the annual heating power consumption of the energy station can be obtained by multiplying the second multiple by the heating power consumption of the second target day. The energy efficiency ratio of the heating device is a ratio of a rated heating amount to a rated power (power consumption amount). And then adding the annual cooling power consumption of the energy station and the annual heating power consumption of the energy station to obtain the annual power consumption of the energy station.

Meanwhile, according to the cold load corresponding to each hour in the cold load curve of the first target day and the operation sequence of the refrigeration equipment, the use condition of each refrigeration equipment per hour can be determined, for example, all the refrigeration equipment work, and some refrigeration equipment do not work, the refrigerating capacity of the first target day corresponding to each refrigeration equipment can be obtained according to the use condition of each refrigeration equipment per hour, and the refrigerating capacity of the first target day corresponding to each refrigeration equipment is multiplied by the first multiple, so that the annual refrigerating capacity corresponding to each refrigeration equipment can be obtained; similar to the annual cooling capacity determination process corresponding to each refrigeration device, the use condition of each heating device per hour can be determined according to the heat load corresponding to each hour in the heat load curve of the second target day and the operation sequence of the heating devices, for example, all the heating devices are operated, some the heating devices are not operated, the heating capacity of the second target day corresponding to each heating device can be determined according to the use condition of each heating device per hour, and the heating capacity of the second target day corresponding to each heating device is multiplied by the second multiple, so that the annual heating capacity corresponding to each heating device can be obtained.

In this embodiment, through the use of first multiple and second multiple, can confirm the annual power consumption of energy station, the annual refrigerating output that each refrigeration plant corresponds respectively and the annual heating capacity that each heating plant corresponds respectively etc. more fast, the mode of confirming is more simple accurate, and labour saving and time saving.

Furthermore, the available hours of various types of refrigeration equipment during refrigeration can be obtained by dividing the annual refrigeration capacity corresponding to each refrigeration equipment by the single-machine refrigeration power of each refrigeration equipment and then by the number of the corresponding refrigeration equipment; the available hours of each type of heating equipment in heating can be obtained by dividing the annual heating capacity corresponding to each heating equipment by the single-mechanism heating power of each heating equipment and then dividing by the number of the corresponding heating equipment.

In the embodiment of the invention, the annual use condition of each refrigerating device and each heating device can be more accurately determined by determining the available hours of each type of refrigerating device during refrigeration and the available hours of each type of heating device during refrigeration.

The technical scheme provided by this embodiment includes first obtaining a building area corresponding to each business type in an energy supply area of an energy station, a yearly preset index line graph corresponding to each business type, and an energy supply period start-stop date corresponding to each year of the energy station, generating a yearly target load curve corresponding to the yearly preset index in the energy supply area of the energy station according to the building area, the yearly preset index line graph, and the energy supply period start-stop date, then obtaining an installation condition of corresponding equipment in the energy supply area of the energy station, generating a target day corresponding load curve in the energy supply area of the energy station according to the yearly target load curve and the installation condition, determining a multiple between corresponding yearly total energy supply and target day energy supply, and finally obtaining an operation sequence of the corresponding equipment, and according to the yearly target load curve, the target day corresponding load curve, the operation sequence and the multiple of the corresponding equipment, the technical indexes of the energy station and each corresponding device are determined, the obtained technical indexes are more accurate, the annual operation condition of each device can be determined, the control on the later-stage operation strategy of the corresponding device in the energy supply area of the energy station is facilitated, and the operation of the device is more reasonable.

Example two

Fig. 2A is a flowchart of a technical index determining method according to a second embodiment of the present invention. The embodiment of the invention is optimized on the basis of the embodiment. Optionally, the present embodiment explains in detail the process, the adjustment of the cooling strategy, and the adjustment of the heating strategy before determining the technical indexes of the energy station and each corresponding device.

Referring to fig. 2A, the method of the present embodiment includes, but is not limited to, the following steps:

s210, acquiring building areas corresponding to all business types in an energy supply area of the energy station, annual preset index line graphs corresponding to all business types and energy supply period starting and ending dates corresponding to the energy station every year, and generating annual target load curves corresponding to annual preset indexes in the energy supply area of the energy station according to the building areas, the annual preset index line graphs and the energy supply period starting and ending dates.

S220, acquiring the installation condition of corresponding equipment in the energy supply area of the energy station, generating a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation condition, and determining the multiple between the corresponding annual total energy supply and the target daily energy supply.

And S230, determining the energy efficiency ratio of each device in the corresponding device, and determining the operation sequence of the corresponding device according to the size sequence of the energy efficiency ratio.

Wherein the equipment with the largest energy efficiency ratio operates first. The energy efficiency ratio is the ratio of energy conversion efficiency, and for equipment with both cooling and heating capabilities, the energy efficiency ratio can be divided into: a cooling energy efficiency ratio and a heating energy efficiency ratio. Wherein, the refrigeration energy efficiency ratio refers to the ratio of rated refrigeration capacity to rated power (power consumption); the heating energy efficiency ratio is a ratio of a rated heating amount to a rated power (power consumption amount).

The energy efficiency ratio of each device can be determined by acquiring the installation condition of the corresponding device, and the operation sequence of the corresponding device can be determined according to the size of the energy efficiency ratio. For example, in each refrigeration device and each heating device, the device with the higher energy efficiency ratio starts to operate firstly, and more energy can be saved by the operation mode.

S240, acquiring the running sequence of the corresponding equipment, and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the running sequence and the multiple of the corresponding equipment.

Optionally, determining a first specific gravity occupied by each refrigeration device in a cold supply process according to a ratio of the annual refrigeration capacity corresponding to each refrigeration device to the annual cold supply capacity of the energy station; adjusting a later-stage cooling strategy of the energy station according to the first ratio; determining a second proportion occupied by each heating device in the heat supply process according to the ratio of the annual heating quantity corresponding to each heating device to the annual heat supply quantity of the energy station; and adjusting the later-period heat supply strategy of the energy station according to the second proportion.

In the embodiment of the invention, the cooling strategy and the heating strategy can be closer to the actual requirements of users by the first proportion adjustment later stage cooling strategy and the second proportion adjustment later stage heating strategy, so that the scheme is optimized, the requirements of the users can be met, and the satisfaction of the users is improved.

For example, assume that the respective business types and corresponding building areas in the energy supply area of an energy station are as shown in table 1 below:

TABLE 1

Serial number	Type of state	Area of building (m)²)
			1	Working in office	220000
2	Commerce	50000
			3	Hotel	20000
4	Hospital	75000

The technical index determination method in the present invention will be explained as follows:

(1) determining the annual preset index line chart corresponding to each state type (taking cold index and hot index as examples for explanation)

And obtaining a hourly hot and cold index line graph of the whole year unit area corresponding to each business type in the energy supply area of the energy station through professional building hot and cold load modeling and simulation software, such as Dest, and displaying the cold index corresponding to each business type as a negative value and the corresponding hot index as a positive value in a result simulated by the software. As shown in fig. 2B-2E: fig. 2B is a time-by-time hot and cold index line graph of the office industry state whole year unit area in the method provided by the second embodiment of the present invention, fig. 2C is a time-by-time hot and cold index line graph of the business industry state whole year unit area in the method provided by the second embodiment of the present invention, fig. 2D is a time-by-time hot and cold index line graph of the hotel industry state whole year unit area in the method provided by the second embodiment of the present invention, and fig. 2E is a time-by-time hot and cold index line graph of the hospital industry state whole year unit area in the method provided by the second embodiment of the present invention, wherein the abscissa in fig. 2B-2E represents the day of the whole year (from 1 month to 12 months), and the ordinate represents the corresponding hot and.

The cold index and the hot index can be understood as short for the cold index and the hot index.

(2) Generating a yearly target load curve corresponding to yearly preset indexes

According to the hourly cold and heat index line graph of the annual unit area corresponding to each business type obtained in the step (1), the building area (shown in table 1) corresponding to each business type and the energy supply period start and stop date (specifically, the cooling period start and stop date and the heating period start and stop date) corresponding to each year of the energy station are combined, the hourly cold and heat index line graphs of the annual unit area corresponding to each business type are superposed to obtain a hourly cold and heat load curve in the energy supply area of the whole energy station, when the load curve is generated, the cold load is also displayed as a positive value, as shown in fig. 2F, fig. 2F is a hourly cold and heat load curve graph of the energy station in the method provided by the second embodiment of the invention, wherein the horizontal coordinate in fig. 2F represents the annual date (from 1 month to 12 months), and the vertical coordinate represents the corresponding cold and heat load.

(3) Determining the installation condition of corresponding equipment in the energy supply area of the energy station

First, according to a related design manual, values of preset indexes and load simultaneous use coefficients corresponding to various business types are obtained, as shown in a cold index, a heat index and a load simultaneous use coefficient in the following table 2, and a total cold load of the energy station installation machines and a total heat load of the energy station installation machines are determined, as shown in the following table 2:

TABLE 2

Next, the total cooling load of the installed energy stations and the total heating load of the installed energy stations are obtained from table 2, and then the installed condition of the corresponding equipment in the energy supply area of the energy station is determined by combining the energy supply condition and the energy type of the energy station, as shown in table 3 below, and table 3 lists each equipment type, the single machine parameter of each equipment, the number of each equipment and the energy efficiency ratio of each equipment.

TABLE 3

Type of device	Number of	Single machine parameters	Energy efficiency ratio
				Centrifugal water chilling unit	4	5977kW (Cold)	3.88 (Cold)
Water source heat pump unit	5	1408kW (cold)/1461 kW (hot)	4.65 (Cold)/3.71 (Hot)
				Air-cooled screw type heat pump	4	1407kW (cold)/1338 kW (hot)	2.28 (Cold)/2.1 (Hot)

(4) Generating a target daily correspondence load curve within an energy supply area of an energy station

Determining the total installed power of the refrigerating equipment and the total installed power of the heating equipment according to the installed conditions of the corresponding equipment in the energy station energy supply area in the step (3), and combining the annual target load curve in the step (2) to determine the cold load curve of the first target day and the heat load curve of the second target day in the energy station energy supply area, as shown in fig. 2G, fig. 2G is a time-by-time cold and heat load curve graph of the energy station target day in the method provided by the second embodiment of the invention, wherein the abscissa in fig. 2G represents 0-23 hours (24 hours of a natural day) respectively, and the ordinate represents the corresponding cold and heat loads.

(5) Determining a multiple between a corresponding annual total energy supply and a target daily energy supply

Dividing the area of the region formed by the annual cold load curve and the coordinate axis obtained in the step (2) by the area of the region formed by the cold load curve and the coordinate axis of the first target day obtained in the step (4) to obtain a first multiple between the corresponding annual total cooling capacity and the cooling capacity of the first target day, namely 82.951; dividing the area of the region formed by the annual heat load curve and the coordinate axis obtained in the step (2) by the area of the region formed by the heat load curve and the coordinate axis of the second target day obtained in the step (4) to obtain a second multiple between the corresponding annual total heat supply amount and the heat supply amount of the second target day, namely 84.459.

(6) Determining an operating order of corresponding devices

According to the energy efficiency ratios corresponding to the devices in table 3, the operation sequence of the refrigeration device can be determined as follows: the water source heat pump unit is larger than the centrifugal water chiller unit and is larger than the air-cooled screw heat pump; the operation sequence of the heating equipment is as follows: the water source heat pump unit is an air-cooled screw type heat pump.

(7) Determining technical indexes of energy station and corresponding equipment

The technical indexes corresponding to the energy station, the refrigeration equipment and the heating equipment can be determined according to the annual target load curve in (2), the target daily corresponding load curve in (4), the multiple in (5) and the operation sequence of the corresponding equipment in (6), and are shown in the following tables 4-6.

Specifically, according to the area of an area formed by an annual cold load curve and a coordinate axis, the annual cold supply capacity of the energy station is determined to be 3846.66 ten thousand kWh; determining the annual heat supply amount of the energy station to be 1079.28 ten thousand kWh according to the area of the region formed by the annual heat load curve and the coordinate axis; determining the cooling power consumption of the first target day according to the cooling load curve of the first target day, the operation sequence of the refrigeration equipment and the parameters of the refrigeration equipment, and multiplying the cooling power consumption of the first target day by a first multiple 82.951 to obtain the annual cooling power consumption of the energy station; determining the heat supply power consumption of the second target day according to the heat load curve of the second target day, the operation sequence of the heating equipment and the parameters of each heating equipment, and multiplying the heat supply power consumption of the second target day by a second multiple 84.459 to obtain the annual heat supply power consumption of the energy station; and adding the annual cooling power consumption of the energy station and the annual heating power consumption of the energy station to obtain the annual power consumption 1212.7 kWh of the energy station. See in particular table 4 below:

TABLE 4

Name of item	Unit of	Index (I)
			Annual cooling capacity supply of energy station	Ten thousand kWh	3846.66
Annual heat supply of energy station	Ten thousand kWh	1079.28
			Annual power consumption of energy station	Ten thousand kWh	1212.7

Determining the refrigerating capacity of each refrigerating device in a first target day respectively corresponding to the refrigerating devices according to the cold load curve of the first target day and the operation sequence of the refrigerating devices, and multiplying the refrigerating capacity of each refrigerating device in the first target day respectively corresponding to the refrigerating devices by a first multiple 82.951 to obtain the annual refrigerating capacity respectively corresponding to each refrigerating device; the available hours of various types of refrigeration equipment during refrigeration can be obtained by dividing the annual refrigeration capacity corresponding to each refrigeration equipment by the single-machine refrigeration power of each refrigeration equipment and then dividing by the number of the corresponding refrigeration equipment, and the specific examples are shown in the following table 5:

TABLE 5

Device name	Refrigerating output (kWh)	Hours available for refrigeration (h)
			Centrifugal water chilling unit	1900.38	794.88
Water source heat pump unit	1930.48	2741.39
			Air-cooled screw type heat pump	15.8	28.08

Determining the heating capacity of each heating device in the second target day according to the heat load curve of the second target day and the operation sequence of the heating devices, and multiplying the heating capacity of each heating device in the second target day by the second multiple 84.459 to obtain the annual heating capacity corresponding to each heating device; the available hours of each type of heating equipment during heating can be obtained by dividing the annual heating capacity of each heating equipment by the single heating power of each heating equipment and then dividing by the number of the corresponding heating equipment, which is specifically shown in the following table 6:

TABLE 6

Device name	Heating quantity (thousands kWh)	Hours available for heating (h)
			Water source heat pump unit	1024.06	1401.69
Air-cooled screw type heat pump	55.22	103.22

It should be noted that, the steps (1) to (7) are only described as a specific example of the technical index determining method in the present invention, and are not intended to limit the scope of the present invention and some corresponding parameters, values and indexes.

The technical scheme provided by this embodiment includes first obtaining a building area corresponding to each business type in an energy supply area of an energy station, a yearly preset index line graph corresponding to each business type, and an energy supply period start-stop date corresponding to each year of the energy station, generating a yearly target load curve corresponding to the yearly preset index in the energy supply area of the energy station according to the building area, the yearly preset index line graph, and the energy supply period start-stop date, then obtaining an installation condition of a corresponding device in the energy supply area of the energy station, generating a target day corresponding load curve in the energy supply area of the energy station according to the yearly target load curve and the installation condition, determining a multiple between corresponding yearly total energy supply and target day energy supply, then determining an energy efficiency ratio of each device in the corresponding devices, determining an operation sequence of the corresponding devices according to the size sequence of the energy efficiency ratio, and finally obtaining an operation sequence of the corresponding devices, and according to the annual target load curve, the target daily corresponding load curve, the running sequence and the multiple of the corresponding equipment, the technical indexes of the energy station and the corresponding equipment are determined, the obtained technical indexes are more accurate, the annual running condition of each equipment can be determined, the later-stage running strategy of the corresponding equipment in the energy supply area of the energy station can be controlled more accurately, the equipment runs more reasonably, and meanwhile, the equipment with high energy efficiency ratio starts to run at first, so that more energy can be saved through the running mode.

EXAMPLE III

Fig. 3 is a schematic structural diagram of a technical index determining apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus may include:

the first curve generation module 310 is configured to obtain a building area corresponding to each business type in an energy supply area of an energy station, a yearly preset index line graph corresponding to each business type, and an energy supply period start-stop date corresponding to each year of the energy station, and generate a yearly target load curve corresponding to the yearly preset index in the energy supply area of the energy station according to the building area, the yearly preset index line graph, and the energy supply period start-stop date;

the curve and multiple determining module 320 is configured to obtain an installation situation of corresponding equipment in the energy supply area of the energy station, generate a target daily corresponding load curve in the energy supply area of the energy station according to the annual target load curve and the installation situation, and determine a multiple between corresponding annual total energy supply and target daily energy supply;

and a technical index determining module 330, configured to obtain an operation sequence of the corresponding device, and determine technical indexes of the energy station and each corresponding device according to the annual target load curve, the target daily corresponding load curve, the operation sequence of the corresponding device, and the multiple.

Further, the technical index determination device may further include:

the installation condition determining module may be specifically configured to: acquiring values of preset indexes corresponding to various business types and a load simultaneous use coefficient; for each of the various business types, multiplying a value of a preset index corresponding to the current business type by a corresponding building area to obtain a first preset load; accumulating all the first preset loads, and multiplying a second load value obtained after accumulation by the load simultaneous use coefficient to obtain a total target load of the energy station installation; and determining the installation condition of corresponding equipment in the energy supply area of the energy station according to the total target load of the energy station installation, the energy supply condition of the energy station and the energy type, wherein the installation condition comprises the type selection of each equipment, the parameter of each equipment and the quantity of each equipment.

Further, the curve and multiple determining module 320 may be specifically configured to: determining the total installed power of the corresponding equipment according to the installed condition; determining a date corresponding to the situation that the difference value between the maximum value of the target load in the annual target load curve and the total installed power of the corresponding equipment does not exceed a preset threshold value as a target day; and determining the load curve corresponding to the target day as the load curve corresponding to the target day in the energy supply area of the energy source station.

Further, the annual target load curve comprises an annual cold load curve and/or an annual heat load curve, and the target day corresponding load curve comprises a first target day cold load curve and/or a second target day heat load curve; accordingly, the curve and multiple determining module 320 may be specifically configured to: dividing the area of the region formed by the annual cold load curve and the coordinate axis by the area of the region formed by the cold load curve and the coordinate axis of the first target day to obtain a first multiple between the corresponding annual total cooling capacity and the cooling capacity of the first target day; and/or dividing the area of the region formed by the annual heat load curve and the coordinate axis by the area of the region formed by the heat load curve and the coordinate axis of the second target day to obtain a second multiple between the corresponding annual total heat supply and the heat supply of the second target day.

Further, the corresponding equipment comprises refrigeration equipment and heating equipment; correspondingly, the technical index determining module 330 may be specifically configured to: determining the annual cooling capacity of the energy station according to the area of the region formed by the annual cooling load curve and the coordinate axis; determining the annual heat supply quantity of the energy station according to the area of the region formed by the annual heat load curve and the coordinate axis; determining the cooling power consumption of the first target day according to the cooling load curve of the first target day, the operation sequence of the refrigeration equipment and the parameters of the refrigeration equipment, and multiplying the cooling power consumption of the first target day by the first multiple to obtain the annual cooling power consumption of the energy station; determining the heat supply power consumption of the second target day according to the heat load curve of the second target day, the operation sequence of the heating equipment and the parameters of each heating equipment, and multiplying the heat supply power consumption of the second target day by the second multiple to obtain the annual heat supply power consumption of the energy station; adding the annual cooling power consumption of the energy station and the annual heating power consumption of the energy station to obtain the annual power consumption of the energy station; according to the cold load curve of the first target day and the operation sequence of the refrigeration equipment, determining the refrigeration capacity of the first target day corresponding to each refrigeration equipment, and multiplying the refrigeration capacity of the first target day corresponding to each refrigeration equipment by the first multiple to obtain the annual refrigeration capacity corresponding to each refrigeration equipment; and determining the heating capacity of each heating device in the second target day respectively according to the heat load curve of the second target day and the operation sequence of the heating devices, and multiplying the heating capacity of each heating device in the second target day respectively by the second multiple to obtain the annual heating capacity respectively corresponding to each heating device.

Further, the technical index determination device may further include:

the first proportion determining module is used for determining a first proportion occupied by each refrigeration device in the cold supply process according to the ratio of the annual refrigerating capacity corresponding to each refrigeration device to the annual cold supply capacity of the energy station;

the cooling strategy adjusting module is used for adjusting a later-stage cooling strategy of the energy station according to the first ratio;

the second proportion determining module is used for determining the second proportion occupied by each heating device in the heat supply process according to the ratio of the annual heating quantity corresponding to each heating device to the annual heat supply quantity of the energy station;

and the heat supply strategy adjusting module is used for adjusting the later-stage heat supply strategy of the energy station according to the second proportion.

Further, the technical index determination device may further include:

and the operation sequence determining module is used for determining the energy efficiency ratio of each device in the corresponding device and determining the operation sequence of the corresponding device according to the size sequence of the energy efficiency ratio, wherein the device with the largest energy efficiency ratio operates first.

The technical index determining device provided by the embodiment can be applied to the technical index determining method provided by any embodiment, and has corresponding functions and beneficial effects.

Example four

Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention, as shown in fig. 4, the computer device includes a processor 410, a storage device 420, and a communication device 430; the number of the processors 410 in the computer device may be one or more, and one processor 410 is taken as an example in fig. 4; the processor 410, the storage 420 and the communication means 430 in the computer device may be connected by a bus or other means, and fig. 4 illustrates the connection by a bus as an example.

The storage device 420 may be used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as the modules corresponding to the technical index determination method in the embodiment of the present invention (e.g., the first curve generation module 310, the curve and multiple determination module 320, and the technical index determination module 330 in the technical index determination device). The processor 410 executes various functional applications and data processing of the computer device by executing software programs, instructions and modules stored in the storage device 420, that is, implements the technical index determination method described above.

The storage device 420 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 420 may further include memory located remotely from the processor 410, which may be connected to a computer device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

And a communication device 430 for implementing a network connection or a mobile data connection between the servers.

The computer device provided by the embodiment can be used for executing the technical index determining method provided by any embodiment, and has corresponding functions and beneficial effects.

EXAMPLE five

An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for determining a technical index in any embodiment of the present invention is implemented, where the method specifically includes:

Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the technical index determination method provided by any embodiment of the present invention.

From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.

It should be noted that, in the embodiment of the technical indicator determining apparatus, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A technical index determination method is characterized by comprising the following steps:

2. The method according to claim 1, before the obtaining of the installed condition of the corresponding equipment in the energy station energy supply area and the generating of the target daily corresponding load curve in the energy station energy supply area according to the annual target load curve and the installed condition, further comprising:

acquiring values of preset indexes corresponding to various business types and a load simultaneous use coefficient;

for each of the various business types, multiplying a value of a preset index corresponding to the current business type by a corresponding building area to obtain a first preset load;

accumulating all the first preset loads, and multiplying a second load value obtained after accumulation by the load simultaneous use coefficient to obtain a total target load of the energy station installation;

and determining the installation condition of corresponding equipment in the energy supply area of the energy station according to the total target load of the energy station installation, the energy supply condition of the energy station and the energy type, wherein the installation condition comprises the type selection of each equipment, the parameter of each equipment and the quantity of each equipment.

3. The method according to claim 2, wherein the obtaining of the installed condition of the corresponding equipment in the energy station energy supply area and the generating of the target daily corresponding load curve in the energy station energy supply area according to the annual target load curve and the installed condition comprise:

determining the total installed power of the corresponding equipment according to the installed condition;

determining a date corresponding to the situation that the difference value between the maximum value of the target load in the annual target load curve and the total installed power of the corresponding equipment does not exceed a preset threshold value as a target day;

and determining the load curve corresponding to the target day as the load curve corresponding to the target day in the energy supply area of the energy source station.

4. The method of claim 2, wherein the annual target load curve comprises an annual cold load curve and/or an annual heat load curve, and the target day corresponding load curve comprises a first target day cold load curve and/or a second target day heat load curve;

accordingly, the determining a multiple between the corresponding annual total energy supply and the target daily energy supply comprises:

dividing the area of the region formed by the annual cold load curve and the coordinate axis by the area of the region formed by the cold load curve and the coordinate axis of the first target day to obtain a first multiple between the corresponding annual total cooling capacity and the cooling capacity of the first target day; and/or dividing the area of the region formed by the annual heat load curve and the coordinate axis by the area of the region formed by the heat load curve and the coordinate axis of the second target day to obtain a second multiple between the corresponding annual total heat supply and the heat supply of the second target day.

5. The method of claim 4, wherein the corresponding devices include a refrigeration device and a heating device;

correspondingly, the obtaining the operation sequence of the corresponding equipment, and determining the technical indexes of the energy station and each corresponding equipment according to the annual target load curve, the target daily corresponding load curve, the operation sequence of the corresponding equipment, and the multiple includes:

determining the annual cooling capacity of the energy station according to the area of the region formed by the annual cooling load curve and the coordinate axis;

determining the annual heat supply quantity of the energy station according to the area of the region formed by the annual heat load curve and the coordinate axis;

determining the cooling power consumption of the first target day according to the cooling load curve of the first target day, the operation sequence of the refrigeration equipment and the parameters of the refrigeration equipment, and multiplying the cooling power consumption of the first target day by the first multiple to obtain the annual cooling power consumption of the energy station;

determining the heat supply power consumption of the second target day according to the heat load curve of the second target day, the operation sequence of the heating equipment and the parameters of each heating equipment, and multiplying the heat supply power consumption of the second target day by the second multiple to obtain the annual heat supply power consumption of the energy station;

adding the annual cooling power consumption of the energy station and the annual heating power consumption of the energy station to obtain the annual power consumption of the energy station;

according to the cold load curve of the first target day and the operation sequence of the refrigeration equipment, determining the refrigeration capacity of the first target day corresponding to each refrigeration equipment, and multiplying the refrigeration capacity of the first target day corresponding to each refrigeration equipment by the first multiple to obtain the annual refrigeration capacity corresponding to each refrigeration equipment;

and determining the heating capacity of each heating device in the second target day respectively according to the heat load curve of the second target day and the operation sequence of the heating devices, and multiplying the heating capacity of each heating device in the second target day respectively by the second multiple to obtain the annual heating capacity respectively corresponding to each heating device.

6. The method of claim 5, further comprising:

determining a first proportion occupied by each refrigeration device in a cold supply process according to the ratio of the annual refrigerating capacity corresponding to each refrigeration device to the annual cold supply capacity of the energy station;

adjusting a later-stage cooling strategy of the energy station according to the first ratio;

determining a second proportion occupied by each heating device in the heat supply process according to the ratio of the annual heating quantity corresponding to each heating device to the annual heat supply quantity of the energy station;

and adjusting the later-period heat supply strategy of the energy station according to the second proportion.

7. The method according to claim 1, further comprising, before the obtaining the operation sequence of the corresponding devices and determining the technical indicators of the energy station and each corresponding device according to the annual target load curve, the target daily corresponding load curve, the operation sequence of the corresponding devices, and the multiple, the method further comprises:

and determining the energy efficiency ratio of each device in the corresponding device, and determining the operation sequence of the corresponding devices according to the size sequence of the energy efficiency ratio, wherein the device with the largest energy efficiency ratio operates first.

8. A technical index determination device, comprising:

9. A computer device, characterized in that the computer device comprises:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the technical indicator determination method of any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the technical indicator determination method according to any one of claims 1 to 7.