Novel energy storage capacity design and calculation method for discrete manufacturing industry

Abstract

The invention provides a discrete type manufacturing industry novel energy storage capacity design calculation method, which comprises the following steps of S100, performing statistical arrangement on electrical energy data of the discrete type manufacturing industry, and establishing an electrical energy power load data set, S200, performing statistical arrangement on all high-power electric equipment of the discrete type manufacturing industry, establishing a high-power power load data set, and S200, performing calculation on the high-power electric equipment of the discrete type manufacturing industry. The method comprises the following steps: S300: comparing a kilowatt-hour electric quantity power load data set with a high-power power load data set, and calculating the total power # imgabs1 # of a compressed air energy storage compression unit according to the load power # imgabs0 # not less than 330 days, and S400: respectively selecting parameters of each component according to the total power # imgabs2 # of the compression unit and the total power # imgabs3 # of an expansion unit in the step S300, and calculating the volume or volume of each component according to the parameters. The matching degree of the power and capacity of the compressed air energy storage system and the actual production demand of a user can be improved according to multiple influence factors including the capacity of the transformer, the maximum demand, high-energy-consumption production equipment and the space area.

Description

Technical Field

[0001] The present invention belongs to the field of electric power, and particularly relates to a novel energy storage capacity design and calculation method for discrete manufacturing. Background Art

[0002] In the new power system, energy storage has become a crucial part, which is necessary for new energy consumption and power grid safety guarantee. It will be widely applied on the power generation side, grid side and user side, with broad demand space. As a very important energy storage technology in the new energy storage technology system, compressed air energy storage shows a rapid growth trend due to its advantages such as long-duration energy storage, low cost, excellent environmental protection performance and high safety performance.

[0003] Compared with the power generation side and grid side, the application cases of compressed air energy storage technology on the user side are less, mainly concentrated in some demonstration projects and specific application scenarios. Due to its "valley storage and peak release" characteristics, it is used for peak-valley arbitrage, capacity electricity charge management and improving power supply reliability. For the calculation of the power and capacity of the user-side compressed air energy storage system, the existing schemes mainly use the peak-section electricity load as the constraint basis, and combine the peak-valley price difference and duration to calculate the overall project implementation and economic benefits. However, for discrete manufacturing, there are many influencing factors for the electricity load, and the discreteness of the electricity load is high, and the following problems exist:

[0004] (1) For users with relatively stable electricity loads, the existing method uses weighted average to calculate the peak-section electricity load, but ignores that the power load of discrete manufacturing changes greatly with production tasks and is greatly affected by high-energy-consuming production stations. The electricity power derived from the weighted average value can cover fewer actual dispatching frequencies, and situations such as power generation being unable to be locally consumed and low-condition operation will occur, directly affecting the actual dispatching economic benefits of compressed air energy storage; (2) Only focusing on the peak-section electricity load conditions in the production link and ignoring the valley-section load and new charging load, it is very easy to increase the basic electricity cost or exceed the transformer limit, resulting in potential safety hazards or negative economic benefits.

[0005] Finally, for user-side compressed air energy storage, the floor area of the gas storage device is a key factor, which directly affects whether there is available land for the user-side compressed air energy storage to meet the project implementation, is related to the user's land use cost, and the gas storage device accounts for nearly 30% of the system investment. Summary of the Invention

[0006] To solve the above technical problems, the present invention provides a new method for designing and calculating the energy storage capacity of discrete manufacturing, which can improve the matching degree of the power and capacity of the compressed air energy storage system with the actual production demand of users according to multiple influencing factors including transformer capacity, maximum demand, high-energy-consuming production equipment, and open space area, and improve the actual dispatching response frequency of the system on the user side, thereby improving the economic benefits on the user side.

[0007] The technical solution of the present invention includes the following steps: S100: Statistically organize the power consumption data of discrete manufacturing within 365 days, establish a power consumption power load data set, and find the load power that appears no less than 330 days in the peak section power load data set PP. 。

[0008] S200: Statistically organize the usage of all high-power electrical equipment in discrete manufacturing within 365 days, establish a high-power electrical load data set, and find the load power of the electrical equipment with the most usage days. S300: Compare the number of days when the load power appears and the number of usage days of the load power , and determine the load power with the most days as the load power . Take the load power as the total power of the compressed air energy storage expansion unit, and calculate the total power of the compressed air energy storage compression unit based on the load power . 。

[0009] S400: Determine the parameters of each component according to the total power of the compression unit and the total power of the expansion unit , and calculate the volume or volume of each component in the energy storage device according to the parameters, so as to calculate the total floor area A corresponding to each component.

[0010] Furthermore, in the power consumption power load data set of step S100, the data set is sliced by hour according to the peak, flat, and valley periods of 24 hours per day into: Peak section power load data set PP = { …… } Flat section power load data set OP = { ……, } Valley section power load data set VP = { ……, } where i + m + n = 8760.

[0011] Determine the load power that appears no less than 330 days in the peak-section power load dataset PP through time series analysis and the load power that appears no less than 330 days in the valley-section power load dataset VP .

[0012] Furthermore, in step S100, the basic power consumption data of the discrete manufacturing industry within 365 days is also statistically sorted to establish a basic power consumption power load dataset and find the maximum power consumption load TR or the minimum value of the maximum demand load data for 12 months , where: When settling according to the capacity electricity fee standard, the maximum power consumption load TR is 85% of the rated capacity of the transformer

[0013] When settling according to the maximum demand standard, take the minimum value of the maximum demand load data for 12 months in the user's recent natural year .

[0014] Furthermore, the high-power power load dataset in step S200 includes the usage time Time, load power Power, usage times Usage, and usage duration Duration of all high-power electrical equipment. Through time series analysis, find the load power of the electrical equipment with the most usage days , the usage times of this electrical equipment and the maximum usage duration of this electrical equipment .

[0015] Furthermore, the number of days of the load power is less than or equal to the production schedule cycle .

[0016] Furthermore, the total power of the compressed air energy storage compression unit is less than the existing capacity or maximum demand power during valley-section charging: For settlement according to the capacity electricity fee standard: For settlement according to the maximum demand standard: .

[0017] Furthermore, determine the parameters of the compressor and expander according to the total power of the compression unit and the total power of the expansion unit , and then determine the initial gas storage pressure , initial temperature , gas release flow rate , gas release duration and the deflation duration The pressure in the gas storage device , so as to calculate the volume of the gas storage device , according to the calculated gas storage volume Determine the single-beam wall thickness t, single-beam outer diameter D, and single-beam tube length L of the container parameters, and thus determine the layout parameters of the gas storage device according to the container parameters. The layout parameters include the series-parallel form, the number of single-layer tube bundles M, the number of layers N, and the spacing S. Finally, confirm the floor area of the container according to the layout parameters of the gas storage device .

[0018] Furthermore, according to the total power of the compression unit and the total power of the expansion unit , determine the layout parameters of the compressor unit, the layout parameters of the expansion unit, the layout parameters of the heat storage system, the layout parameters of the heat exchange system, the layout parameters of the electrical system, the layout parameters of the water supply system, and the layout parameters of the water treatment system in the gas storage device in sequence, and then determine the floor area of the compressor unit according to the above layout parameters , the floor area of the expansion unit , the floor area of the heat storage system , the floor area of the heat exchange system , the floor area of the electrical system , the floor area of the water supply system and the floor area of the water treatment system The total floor area of the gas storage device = .

[0019] Furthermore, the total floor area A is less than or equal to the available open space area .

[0020] The technical solution provided by the embodiment of the present invention has the following advantages compared with the prior art: 1. Statistically organize the electricity consumption data of discrete manufacturing industries within 365 days, establish an electricity consumption power load dataset, and establish a high-power electricity load dataset for the usage of all high-power electrical equipment in discrete manufacturing industries within 365 days. Compare the number of days when the load power appears and the number of usage days of the load power , and determine the load power with the most days as the load power . Use the load power as the total power of the compression air energy storage expansion unit, and at the same time calculate the total power of the compression air energy storage compression unit with the load power ​, it can ensure that the expansion power generation can be locally consumed within the user side area, and at the same time, it can ensure that the generated power meets the actual production demand. Moreover, when the compressed air energy storage is charged during the valley period, after the existing production power load on the user side valley period is superimposed with the newly added charging load of the compressed air energy storage, it will not cause an increase in capacity electricity charges or maximum demand electricity charges, thus avoiding bringing negative benefits.

[0021] 2. Select the parameters of each component according to the total power of the compression unit and the total power of the expansion unit respectively, calculate the volume or volume of each component according to the parameters, and then calculate the total floor area A of each component accordingly, optimize the selection parameters and engineering layout of the metal container, and adjust the overall floor area of the gas storage device. The present invention can improve the matching degree between the power and capacity of the compressed air energy storage system and the actual production demand of users according to multiple influencing factors including transformer capacity, maximum demand, high-energy-consuming production equipment, and open space area, improve the actual dispatching response frequency of the system on the user side, and thus improve the economic benefits on the user side.

[0022] 3. Statistically organize the basic electricity data of the discrete manufacturing industry within 365 days, establish a basic electricity power load data set, and find the maximum electricity load TR when settling according to the capacity electricity charge standard or the minimum value of the maximum demand load data within 12 months when settling according to the maximum demand standard , so as to determine the maximum value of the total power of the compression unit of the compressed air energy storage through calculation , it can ensure that when the compressed air energy storage is charged during the valley period, after the existing production power load on the user side valley period is superimposed with the newly added charging load of the compressed air energy storage, it will not cause an increase in capacity electricity charges or maximum demand electricity charges, thus avoiding bringing negative benefits.

[0023] Other advantages, objectives and features of the present invention will be partially reflected by the following description, and partially will also be understood by those skilled in the art through the research and practice of the present invention. Specific Embodiments

[0024] A specific embodiment of the present invention will be described in detail below, but it should be understood that the protection scope of the present invention is not limited by the specific embodiment.

[0025] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", etc. is based on the orientation or positional relationship shown, and is only for the convenience of describing the technical solution of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0026] In the description of the embodiments of the present invention, unless otherwise specified, the meaning of "a plurality of" refers to two or more.

[0027] The present invention provides a new method for designing and calculating the energy storage capacity of discrete manufacturing, including the following steps: Step 1: Establish a power load data set. According to the two-part electricity price system for large industries, the data sets of electricity consumption and basic electricity are sorted out respectively.

[0028] (1) Statistically analyze the electricity consumption and electricity price data of the user side for 24 hours a day for 365 days in the past natural year. Through the intelligent platform on the user side or the power load ledger, collect the peak-valley power load data for 8760 hours, and divide the data set into hourly segments according to the peak-valley periods of 24 hours a day: Peak period power load data set PP = { …… } Off-peak period power load data set OP = { ……, } Valley period power load data set VP = { ……, } Wherein, i + m + n = 8760.

[0029] In addition, the total duration of the peak period , off-peak period , and valley period per day is 24 hours, that is, . Through time series analysis, find the load power with a frequency of not less than 330 days in the peak period power load data set PP, and the load power with a frequency of not less than 330 days in the valley period power load data set VP.

[0030] (2)Statistically analyze the basic electricity consumption of the user side to avoid additional charges for capacity / demand caused by energy storage requirements, which may result in negative benefits. Collect data sets through the user-side intelligent platform or billing statements. For those settled according to the capacity electricity fee standard, calculate the maximum electricity load TR based on 85% of the rated capacity of the transformer. For those settled according to the maximum demand standard, take the minimum value of the maximum demand load data for the 12 months of the user's previous natural year, i.e.:

[0031] ={ …… }.

[0032] Step 2: Establish a power load data set for high-power electrical equipment. For high-power electrical equipment on the user side of discrete manufacturing, including but not limited to commissioning equipment, experimental equipment, etc., collect data through the user-side intelligent platform or load ledger, and statistically analyze the usage within 365 days of the previous natural year to establish a list containing usage time Time, equipment power Power, usage frequency Usage, and usage duration Duration. Use time series analysis to find the load power of the electrical equipment with the most usage days The usage frequency of this electrical equipment and the maximum usage duration of this electrical equipment .

[0033] Step 3: Based on Steps 1 and 2, compare the number of days when the load power appears and the load power , and use the load power as the total power of the compressed air energy storage expansion unit, while ensuring that does not exceed the annual production schedule cycle of discrete manufacturing , so that: In this way, it can be ensured that the expansion power generation can be locally consumed within the user-side area, and at the same time, it can be ensured that the generated electricity meets the actual production demand. Among them, represents the corresponding number of usage days.

[0034] In addition, for the total power of the compressed air energy storage compression unit, it is necessary to ensure that it does not exceed the existing capacity / maximum demand power during valley charging. At the same time, comprehensively consider the existing power load situation of discrete manufacturing users during the valley period, i.e.:

[0035] Discrete manufacturing users paying basic electricity fees according to capacity: Discrete manufacturing users paying basic electricity charges according to maximum demand: In this way, it can be ensured that when the compressed air energy storage is charged during the valley period, after the existing production power load on the user side during the valley period is superimposed with the newly added charging load of the compressed air energy storage, it will not cause an increase in capacity electricity charges or maximum demand electricity charges, and avoid bringing negative benefits.

[0036] Step Four: Based on the total power of the compression unit derived in Step Three and the total power of the expansion unit , conduct the parameter selection of each stage of the compressor and expander, including but not limited to the intake temperature / pressure, exhaust temperature / pressure, air mass flow rate, etc. at each stage. Further determine the initial storage pressure , initial temperature , gas release flow rate , gas release duration , and the pressure inside the gas storage device at the gas release duration , and thus derive the volume of the gas storage device, that is:

[0037] Among them, is the gas constant of air, is the specific heat ratio of air, 10% is the safety margin for the gas storage capacity design, represents the corresponding single-use duration.

[0038] In this design, the gas storage device of discrete manufacturing users considers the gas storage method of above-ground metal containers. Using the gas storage volume to conduct the selection of metal containers, including but not limited to the single-wall thickness t, single-wall outer diameter D, single-wall tube length L, etc., and thus further derive the engineering layout of the gas storage device, including but not limited to the series-parallel form, the number M of single-layer tube bundles, the number N of layers, the spacing S, etc., and finally confirm the floor area :

[0039] Among them, is the given safety spacing. In this part, the overall floor area of the gas storage device can be adjusted by optimizing the selection parameters and engineering layout of the metal containers.

[0040] Step Five: On the basis of Step Four, further confirm the floor area of the compressor unit and the floor area of the expander unit , floor area of the heat storage system , floor area of the heat exchange system , floor area of the electrical system , floor area of the water supply system , floor area of the water treatment system , and other floor areas (including but not limited to pipe networks, inspection and maintenance intervals, safety intervals, workshops, etc.). The total floor area of the compressed air energy storage system is:

[0041] Due to the limited planned land use on the user side, the total floor area of the compressed air energy storage system cannot exceed the available open space area , that is: To sum up, from step one to step five, the influencing factors, calculation logics, correlation relationships, calculation formulas, and optimization methods involved in the capacity calculation of the user-side compressed air energy storage system are all listed. On the premise that the electricity generated during the peak period is close to the actual production demand of the user, it will neither cause negative benefits due to exceeding the capacity / maximum demand after superimposing new loads, nor avoid the total floor area of the system exceeding the available floor area, thereby reducing the project operability or increasing the land cost. At the same time, considering the engineering implementation and safety code requirements, factors such as safety margins and safety intervals are taken into account.

[0042] It should be noted that in this article, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitations, the element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article, or device including that element.

[0043] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the field, additional modifications can be easily achieved. Therefore, without departing from the general concept defined by the claims and the equivalent scope, the present invention is not limited to specific details and those shown and described herein.

Claims

1. A new method for designing and calculating the energy storage capacity of discrete manufacturing, characterized in that, Including the following steps: S100: Statistically organize the power consumption data of the discrete manufacturing industry within 365 days, establish a power consumption and power load dataset, and find the load power with a frequency of no less than 330 days in the peak-section power load dataset PP ; S200: Statistically analyze the usage of all high-power electrical equipment in discrete manufacturing within 365 days, establish a high-power electrical load dataset, and find the load power of the electrical equipment with the most usage days ; S300: Compare the load power The number of days it appears and the load power For the number of usage days, determine the load power with the most days as the load power Use the load power As the total power of the compressed air energy storage expansion unit, and use the load power Calculate the total power of the compressed air energy storage compression unit ; S400: Determine the parameters of each component according to the total power of the compression unit and the total power of the expansion unit Determine the parameters of each component, and calculate the volume or capacity of each component in the energy storage device according to the parameters, so as to calculate the corresponding total floor area A of each component.

2. The novel energy storage capacity design and calculation method for discrete manufacturing industries according to claim 1, characterized in that In the electric energy, power load dataset of step S100, the dataset is sliced by hour according to the peak, valley and flat periods of 24 hours a day into: Peak period power load dataset PP = { …… } Flat-section power load data set OP = { ……, } Valley-section power load dataset VP = { ……, } where i + m + n = 8760; Determine the load power with a frequency of no less than 330 days in the peak - segment power - load data set PP through time - series analysis and the load power with a frequency of no less than 330 days in the valley - segment power - load data set VP .

3. A novel energy storage capacity design calculation method for discrete manufacturing, as described in claim 2, characterized in that, In step S100, the basic power consumption data within 365 days of discrete manufacturing is also statistically sorted out, a basic power consumption load dataset is established, and the maximum power consumption load TR or the minimum value of the maximum demand load data for 12 months is found. , where: When settling accounts according to the capacity electricity charge standard, the maximum power load TR is 85% of the rated capacity of the transformer; When settling accounts according to the maximum demand standard, the minimum value of the maximum demand load data of the user in the 12 months of the most recent natural year is taken .

4. A novel energy storage capacity design and calculation method for discrete manufacturing industries as described in claim 3, characterized in that, Total power of the compressed air energy storage compression unit Less than the existing capacity or maximum demand power during valley charging periods: For settling accounts according to the capacity electricity charge standard: ， For settling accounts according to the maximum demand standard: 。 5. A novel energy storage capacity design and calculation method for discrete manufacturing industries according to claim 1, characterized in that In step S200, the high-power power load data set includes: the usage time, load power, usage frequency, and usage duration of all high-power electrical devices. By using the time series analysis method, the load power of the electrical device with the most usage days is found , the usage frequency of this electrical device and the maximum usage duration of this electrical device .

6. A novel energy storage capacity design and calculation method for discrete manufacturing industries as described in claim 5, characterized in that, Load power Number of days Less than or equal to the production schedule cycle .

7. A novel energy storage capacity design and calculation method for discrete manufacturing industries as described in claim 1, characterized in that, According to the total power of the compression unit and the total power of the expansion unit determine the parameters of the compressor and expander, and then determine the initial gas storage pressure , initial temperature , gas release flow rate , gas release duration as well as the pressure inside the gas storage device at the gas release duration , so as to calculate the volume of the gas storage device; According to the calculated gas storage volume Determine the single-beam wall thickness t, single-beam outer diameter D, and single-beam tube length L of the container parameters, and thus determine the layout parameters of the gas storage device according to the container parameters. The layout parameters include the series-parallel form, the number of single-layer tube bundles M, the number of layers N, and the spacing S. Finally, confirm the floor area of the container according to the layout parameters of the gas storage device .

8. A novel energy storage capacity design and calculation method for discrete manufacturing industries as described in claim 7, characterized in that, According to the total power of the compression unit and the total power of the expansion unit , successively determine the layout parameters of the compressor unit, expansion unit, heat storage system, heat exchange system, electrical system, water supply system, and water treatment system in the gas storage device, and then determine the floor area of the compressor unit , the floor area of the expansion unit , the floor area of the heat storage system , the floor area of the heat exchange system , the floor area of the electrical system , the floor area of the water supply system and the floor area of the water treatment system ; Total floor area of the gas storage device = 。 9. A novel energy storage capacity design and calculation method for discrete manufacturing industries according to claim 8, characterized in that The total floor area A is less than or equal to the available open space area .

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