CN113899036A - Method and device for planning cold accumulation project - Google Patents

Method and device for planning cold accumulation project Download PDF

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Publication number
CN113899036A
CN113899036A CN202111163466.XA CN202111163466A CN113899036A CN 113899036 A CN113899036 A CN 113899036A CN 202111163466 A CN202111163466 A CN 202111163466A CN 113899036 A CN113899036 A CN 113899036A
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cold
project
cold accumulation
peak
condition
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伍宇铿
李春宝
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Ganghua Energy Investment Co ltd
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Ganghua Energy Investment Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F5/00Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
    • F24F5/0007Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
    • F24F5/0017Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52Indication arrangements, e.g. displays
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56Remote control
    • F24F11/58Remote control using Internet communication
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61Control or safety arrangements characterised by user interfaces or communication using timers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F5/00Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
    • F24F5/0007Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
    • F24F5/0017Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
    • F24F2005/0032Systems storing energy during the night
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/14Thermal energy storage

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application discloses a method and a device for planning a cold accumulation project. The method may comprise the steps of: acquiring an electricity price system of the location of the project point; under the condition that the electricity price system is peak-valley time-of-use electricity price, acquiring the cold load of the location of the project site; and under the condition that the coincidence degree of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition, determining that a cold accumulation project is planned at the place where the project point is located. By implementing the method and the device, whether the cold accumulation project is planned at the place where the project point is located is determined according to the contact ratio of the peak-valley time period of the cold load at the place where the project point is located and the peak-valley time period of the peak-valley time-of-use electricity price, and the cold accumulation project can be planned more objectively.

Description

Method and device for planning cold accumulation project
Technical Field
The embodiment of the application relates to the field of energy sources, in particular to a method and a device for planning a cold accumulation project.
Background
The cold storage technology is to utilize the night valley point for refrigeration, store cold energy in the form of ice, cold water or a solidified phase-change material, and partially or completely utilize the stored cold energy to supply cold to an air conditioning system in the peak load period of the air conditioner, so as to achieve the purposes of reducing the installation capacity of refrigeration equipment, reducing the operation cost and cutting the peak and filling the valley of the power load.
Therefore, the basis for determining whether or not a cold storage air conditioning system is applicable to a project is to study the degree of overlap between the peak periods of the distribution of the cold load and the distribution of the power load. At present, the method for judging which places meet the requirement of cold storage economy is qualitatively determined according to the state of the industry. For example, a hotel is judged to be a place where the cold accumulation project is not properly planned because the overlapping degree is not high; due to the high contact ratio of the office places, the office places are judged to be suitable for planning the cold storage project. However, this method has high subjective judgment and low objectivity.
Disclosure of Invention
The embodiment of the application provides a method and a device for planning a cold accumulation project, which can be used for determining whether to plan the cold accumulation project at the location of a project point according to the contact ratio of the peak-valley time period of the cold load at the location of the project point and the peak-valley time period of the peak-valley time-of-use electricity price, so that the cold accumulation project can be planned more objectively.
In a first aspect, an embodiment of the present application provides a method for planning a cold storage project, where the method includes:
acquiring an electricity price system of the location of the project point;
under the condition that the electricity price system is peak-valley time-of-use electricity price, acquiring the cold load of the location of the project site;
and under the condition that the coincidence ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition, determining that a cold accumulation project is planned at the place where the project point is located.
Further, in the case where the coincidence degree of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity prices satisfies the first condition, the determining to plan the cold storage project at the project site includes:
acquiring 24-hour hourly cooling load of a day where the maximum value of the cooling load is located within a preset time range;
marking the time intervals corresponding to the hourly cooling loads as a cold load peak time interval, a cold load leveling time interval and a cold load valley time interval respectively according to the hourly cooling loads;
and under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period meet the first condition, determining that a cold accumulation project is planned at the place where the project point is located.
Further, before the obtaining the cooling load of the location of the project site, the method further comprises:
the step of acquiring the cooling load at the location of the item point is performed in a case where a ratio of the peak-time electricity prices to the valley-time electricity prices satisfies a second condition.
Further, before the determining to plan the cold storage project at the project site, the method further includes:
determining cold accumulation amount according to the cold accumulation rate and the daily cold load;
determining profit margin according to the cold accumulation amount;
determining the floor area of the cold accumulation equipment according to the cold accumulation amount;
and in the case that the profit margin meets a third condition and the floor area meets a fourth condition, executing the step of determining to plan the cold storage project at the project site.
Further, the determining the profit margin according to the cold accumulation amount comprises:
determining the type of the cold accumulation equipment according to the cold accumulation amount;
and determining the profit margin according to the price of the cold accumulation equipment, the cold accumulation expenditure and the cold accumulation income, wherein the price of the cold accumulation equipment is determined according to the model of the cold accumulation equipment.
Further, the determining the floor area of the cold accumulation device according to the cold accumulation amount comprises:
determining the cold accumulation amount of the unit volume cold accumulation equipment;
determining the cold accumulation amount of the cold accumulation equipment per unit area according to the cold accumulation amount of the cold accumulation equipment per unit volume and the height of the cold accumulation equipment;
and determining the occupied area according to the cold accumulation amount and the cold accumulation amount of the unit area cold accumulation equipment.
Further, the step of determining that the cold storage project is planned at the project site in the case that the profit margin satisfies a third condition and the floor space satisfies a fourth condition includes:
adjusting the cold accumulation rate according to a preset step length, and calculating according to different cold accumulation rates to obtain corresponding cold accumulation amount, occupied area and profit rate;
sorting the calculated different profit margins from high to low to obtain a profit margin ranking table, and obtaining a cold accumulation rate ranking table corresponding to the profit margin ranking table according to the profit margin ranking table;
whether the floor area corresponding to each cold accumulation rate meets the fourth condition is sequentially judged according to the cold accumulation rate sorting table;
when the first floor space corresponding to the first cold accumulation rate in the cold accumulation rates meets the fourth condition, judging whether the first profit margin corresponding to the first cold accumulation rate meets the third condition;
when the first profit margin satisfies the third condition, the step of determining that a cold storage project is planned at the project site is performed.
In a second aspect, an embodiment of the present application provides an apparatus for planning a cold storage project, the apparatus including:
the acquisition module is used for acquiring the electricity price system of the location of the project point;
the acquisition module is further used for acquiring the cold load of the location of the project point under the condition that the electricity price system is peak-valley time-of-use electricity price;
and the processing module is used for determining that a cold accumulation project is planned at the place where the project point is located under the condition that the overlap ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a processor, a memory and a bus, the processor and the memory being connected via the bus, wherein the memory is configured to store a set of program codes, and the processor is configured to call the program codes stored in the memory to perform the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored therein instructions that, when executed on a computer, implement the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, the computer being operable to cause a computer to perform the method according to the first aspect.
In the embodiment of the application, the cold load of the place where the project point is located is obtained by obtaining the electricity price system of the place where the project point is located under the condition that the electricity price system is peak-valley time-of-use electricity price; and determining that the cold accumulation project is planned at the place where the project point is located by judging whether the contact ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition or not under the condition that the first condition is met. The contact ratio of the peak-valley time period of the cold load at the location of the project point and the contact ratio of the peak-valley time period of the peak-valley time-of-use electricity price at the location of the project point are judged, and then whether to plan the cold storage project at the location of the project point is determined, rather than qualitatively determining whether to plan the cold storage scheme at the location of the project point according to the state of trade, so that the cold storage project can be planned more objectively. Further, whether the ratio of the peak-hour electricity price to the valley-hour electricity price satisfies the second condition or not is judged, so that the economy of the cold storage project can be improved. Furthermore, the feasibility of the project is obtained on the aspect of area by judging whether the floor area is smaller than or equal to the area available for construction. Furthermore, the profit margin is judged, so that the economy of the cold accumulation project can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for planning a cold storage project according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another method for planning a cold storage project according to an embodiment of the present application;
fig. 3 is a schematic composition diagram of an apparatus for planning a cold storage project according to an embodiment of the present application;
fig. 4 is a schematic composition diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application are described below clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects. Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design method described herein as "exemplary" or "e.g.," should not be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion. In the examples of the present application, "A and/or B" means both A and B, and A or B. "A, and/or B, and/or C" means either A, B, C, or means either two of A, B, C, or means A and B and C.
A method for planning a cold storage project according to an embodiment of the present application will be described in detail with reference to steps in fig. 1 to fig. 2.
Referring to fig. 1, a schematic flow chart of a method for planning a cold storage project according to an embodiment of the present application may include the following steps:
step S101: and acquiring the electricity price system of the place where the project point is located.
The electricity price system comprises a single electricity price system, two electricity prices system, a peak-valley time-of-use electricity price, a full-dry season electricity price and a stepped electricity price system. The single electricity making rate is an electricity rate system directly multiplying the copied electricity consumption by the electricity rate. The two electricity rates are an electricity rate system for determining an electricity rate by combining a basic electricity rate corresponding to a capacity and an electricity rate corresponding to a used amount of electricity. The peak-valley time-of-use electricity price means that 24 hours per day are divided into a plurality of time periods such as a peak, a flat period and a valley according to the load change condition of a power grid, and electricity price systems with different electricity price levels are formulated for each time period. The electricity price saving in the rich dry season refers to an electricity price system which divides the time of one year into three seasons of rich, flat and dry seasons according to the water flow, and carries out seasonal differential pricing according to the difference of hydroelectric power generation cost, and is called as the rich dry electricity price for short. The step-type electricity price is short for step-type incremental electricity price or step-type progressive electricity price, also called step-type electricity price, and refers to an electricity price system for setting the electricity consumption of each user as a plurality of step sections or grading times for pricing and calculating the cost.
Step S102: and under the condition that the electricity price system is peak-valley time-of-use electricity price, acquiring the cold load of the location of the project point.
The cold storage project is to utilize the night valley point for refrigeration, store cold energy in the form of ice, cold water or a solidified phase-change material, and partially or completely utilize the stored cold energy to supply cold to an air conditioning system during the peak load period of the air conditioner. Therefore, when a cold accumulation project is planned, whether the electricity price system is the peak-valley time-of-use electricity price or not needs to be judged, and when the electricity price system is the electricity price system without the peak-valley time-of-use electricity price, for example, under the condition of a single electricity price system, the cold accumulation at the valley period of the electricity price is not provided at the place of the project, and the cold is released at the peak period, so that the purposes of reducing the installation capacity of refrigeration equipment, reducing the operation cost and cutting the peak and filling the valley of the power load are achieved.
In one possible implementation manner, the step of acquiring the cooling load at the location of the entry point is performed in a case where a ratio of the peak-time electricity rate and the valley-time electricity rate satisfies a second condition before the step of acquiring the cooling load at the location of the entry point.
In one example, if the peak-time electricity price is 0.50 and the valley-time electricity price is 0.25, then the ratio of the peak-time electricity price to the valley-time electricity price is 2, and if the ratio required in the second condition is greater than or equal to 3.5, then in this case, it indicates that the ratio of the peak-time electricity price to the valley-time electricity price does not satisfy the second condition, then the step of acquiring the cooling load at the location of the item point is not performed, that is, it is determined that the cold storage item is not planned at the location of the item point. In another example, if the peak-time electricity rate is 1.2 and the valley-time electricity rate is 0.3, the ratio of the peak-time electricity rate to the valley-time electricity rate is 4, and if the ratio required in the second condition is 3.5 or more, in this case, it is indicated that the ratio of the peak-time electricity rate to the valley-time electricity rate satisfies the second condition, the step of acquiring the cooling load at the location of the item point is performed. By judging the ratio of the peak-hour electricity price to the valley-hour electricity price, whether the cold accumulation project has preliminary project economy can be preliminarily judged.
Step S103: and under the condition that the coincidence ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition, determining that a cold accumulation project is planned at the place where the project point is located.
In one possible implementation, in a case where a degree of coincidence of a peak-valley period of the cooling load and a peak-valley period of the peak-valley time-of-use electricity prices satisfies a first condition, the method of determining that a cold storage project is planned at a place where the project point is located includes: acquiring 24-hour hourly cooling load of a day where the maximum value of the cooling load is located within a preset time range; marking the time intervals corresponding to the hourly cooling loads as a cold load peak time interval, a cold load leveling time interval and a cold load valley time interval respectively according to the hourly cooling loads; and under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period meet the first condition, determining that a cold accumulation project is planned at the place where the project point is located.
The preset time range includes, but is not limited to, the time range of the last year in the historical data. The day of the maximum value of the cooling load refers to the day of the maximum total value of the cooling load within the preset time range within 24 hours.
For example, the total value of the cooling load of 24 hours on day a in the preset time range is the maximum, and then day a is the day where the maximum value of the cooling load is located in the preset time range. The 24-hour hourly cooling loads for day A were A1-A24, respectively. The cooling load at the time of a1, the cooling load at the time of A8, the cooling load at the time of a1, the cooling load at the time of a9, the cooling load at the time of a16, the cooling load at the time of a9, the cooling load at the time of a 3538, the cooling load at the time of a17, the cooling load at the time of a24, the cooling load at the time of a17, the cooling load at the time of A8, the cooling load at the time of a day, the cooling load at the time of a chronologically successive cooling load at the time of a day, the cooling load at the time of a17 th to 24 th in the sequence from high to low. That is, the maximum value of the cooling load for day a is a1 in the hour, and the minimum value of the cooling load for day a is a24 in the hour. The time A1-A8 is the peak time of the cold load, the time A9-A16 is the flat time of the cold load, and the time A17-A24 is the valley time of the cold load.
In the peak-valley time-of-use electricity price, each day is divided into three time periods, and each period is preferably 8 hours. Each power supply company can specifically define each time period according to the principle according to the respective season and the occurrence time of the peak-to-valley load. For example, the case of M-grid implementation is: peak period per day was 7: 00-11:00, 19: 00-23: 00; flat period 11: 00-19: 00; the valley period was 23: 00-day 7: 00. the M-grid peak-valley period is divided into: peak period: 8: 00-11:00, 11: 00-21: 00; in the valley period: 22: 00-day 5: 00; the rest time is a flat time period, and the time periods are Beijing time.
The a-day cooling load peak period, that is, a1 hour-A8 hour, is matched with the peak period of the peak-valley time-of-use electricity prices at the place of the project point, and the a-day cooling load valley period, that is, a17 hour-a 24 hour, is matched with the valley period of the peak-valley time-of-use electricity prices at the place of the project point. And obtaining the coincidence degree of the peak-valley time period of the day of the maximum value of the cold load and the peak-valley time period of the time-of-day electricity price of the peak and valley according to the matching result.
In one possible implementation, if the peak time of the cooling load and the peak time of the peak-valley time of the electricity prices are equal to or greater than one hour and the valley time of the cooling load and the valley time of the peak-valley time of the electricity prices are equal to or greater than one hour, then it is determined that the degree of coincidence of the peak-valley time of the cooling load and the peak-valley time of the electricity prices satisfies the first condition.
In one example, one hour of A1-A8 is Beijing time 10:00-11:00, and one hour of A17-A24 is Beijing time 3:00-4: 00. The cold accumulation project is located at M place. Then according to the situation of the M-grid implementation, it can be known that the beijing time 10:00-11:00 is the peak period, and 3:00-4:00 is the valley period. That is, the cold load peak period exists when the peak period of the electricity prices at peak and valley times is the same hour, and the cold load valley period exists when the valley period of the electricity prices at peak and valley times is the same hour, then the coincidence degree of the peak and valley periods representing the cold load and the peak and valley periods of the electricity prices at peak and valley times satisfies the first condition in this case. And under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period meet the first condition, determining that a cold accumulation project is planned at the place where the project point is located. In another example, 8 hours of the peak period of the cold load represented by a 1-A8 are 8 hours of beijing time 9:00-17:00, respectively, and the 8 hours are all in the valley period or the flat period of the peak-valley time-of-use electricity price at the place of the project, which indicates that the peak period of the cold load is not the same as the peak period of the peak-valley time-of-use electricity price at the place of the project, and in this case, the degree of coincidence of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price does not satisfy the first condition regardless of whether the peak period of the cold load and the valley period of the peak-valley time-of-use electricity price at the place of the project are the same. And under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period do not meet the first condition, determining not to plan the cold storage project at the project point. In another example, the 8 hours of the cold load trough period represented by a 17-a 24 are 8 hours of beijing time 0:00-6:00 and 22:00-24:00, respectively, and the 8 hours are both in the peak period or the flat period of the peak-valley time-of-use electricity price at the location of the item point, which indicates that the cold load trough period does not have the same hour as the trough period of the peak-valley time-of-use electricity price at the location of the item point, and in this case, the degree of coincidence of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price at the location of the item point does not satisfy the first condition regardless of whether the cold load peak period and the peak period of the peak-valley time-of the electricity price at the location of the item point have the same hour. And under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period do not meet the first condition, determining not to plan the cold storage project at the project point.
Referring to fig. 2, a schematic flow chart of another method for planning a cold storage project according to an embodiment of the present application may include the following steps:
step S201: and acquiring the electricity price system of the place where the project point is located.
Step S202: and under the condition that the electricity price system is peak-valley time-of-use electricity price, acquiring the cold load of the location of the project point.
In one possible implementation manner, the step of acquiring the cooling load at the location of the entry point is performed in a case where a ratio of the peak-time electricity rate and the valley-time electricity rate satisfies a second condition before the step of acquiring the cooling load at the location of the entry point.
Step S203: and under the condition that the coincidence ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition, determining that a cold accumulation project is planned at the place where the project point is located.
The specific implementation of steps S201 to S203 may refer to the specific implementation of steps S101 to S103 shown in fig. 1, and details are not repeated here.
In a possible implementation manner, before the determination that the cold storage project is planned at the project site, the method further includes steps S204 to 207.
Step S204: and determining the cold accumulation amount according to the cold accumulation rate and the daily cold load.
The calculation method of the cold accumulation amount is as follows: the cold accumulation amount is the cold accumulation rate × the daily cold load.
In one possible implementation, the daily cooling load is the total cooling load of 24 hours of the day on which the maximum value of the cooling load is located within the preset time range. That is, if the total 24-hour cooling load value of day a is the maximum within the preset time range, day a is the day where the maximum cooling load value is located within the preset time range, and the daily cooling load is the total 24-hour cooling load value of day a.
Step S205: and determining the profit margin according to the cold accumulation amount.
In one possible implementation, the method for determining the profit margin according to the cold storage amount includes: determining the type of the cold accumulation equipment according to the cold accumulation amount; and determining the profit margin according to the price of the cold accumulation equipment, the cold accumulation expenditure and the cold accumulation income, wherein the price of the cold accumulation equipment is determined according to the model of the cold accumulation equipment.
Since the cost performance/cold storage capacity of each cold storage device is different, the type of the cold storage device can be determined according to the cold storage amount.
In one possible implementation, the model of the cold storage device is determined according to the range of the cold storage amount. It should be noted that, the determination of the model of the cold storage device may be performed in different models of the same cold storage device, or may be performed in different models of different devices, and the embodiment of the present application is not limited at all.
Illustratively, if the cold storage amount is in the range of 5000-10000 kwh, the model of the cold storage device is determined as device E1; if the cold accumulation amount is in the range of 10000-15000 kilowatt-hour, the type of the cold accumulation equipment is determined as equipment E2. If the cold storage amount determined from the cold storage rate is 12500 kw, the model number of the cold storage device determined in this case is E2.
In one possible implementation mode, a list of the energy storage equipment meeting the requirement of the cold storage amount is determined and displayed according to the cold storage amount, and a selection instruction input by a user is obtained to determine the model of the cold storage equipment, wherein the selection instruction is used for selecting the model of the cold storage equipment.
For example, if the cold storage amount is 125 kwh, the models of the cold storage devices meeting the cold storage amount requirement include device E1, device E2, and device E3, and the model of the cold storage device selected in the selection instruction obtained by the user is E3, then the model of the cold storage device determined in this case is E3.
The profit margin calculation method comprises the following steps:
Figure BDA0003290617900000061
the income refers to the income generated when the cold energy is provided for the user within a period of time, the expenditure refers to the electricity and water charges generated by electricity and water consumption in the cold storage process within a period of time, and the total cost comprises the price of the cold storage equipment, the cost for installing the cold storage equipment and the like determined according to the type of the cold storage equipment.
Step S206: and determining the floor area of the cold accumulation equipment according to the cold accumulation amount.
In one possible implementation, the method for determining the floor area of the cold storage device according to the cold storage amount comprises the following steps: determining the cold accumulation amount of the unit volume cold accumulation equipment; determining the cold accumulation amount of the cold accumulation equipment per unit area according to the cold accumulation amount of the cold accumulation equipment per unit volume and the height of the cold accumulation equipment; and determining the occupied area according to the cold accumulation amount and the cold accumulation amount of the unit area cold accumulation equipment.
The method for calculating the floor area of the cold accumulation equipment comprises the following steps:
Figure BDA0003290617900000062
the cold accumulation amount of the unit area cold accumulation equipment is calculated in the following mode: the cold storage amount per unit area of the cold storage device is equal to the cold storage amount per unit volume of the cold storage device × the height of the cold storage device.
In one possible implementation, the cold accumulation amount of the average cold accumulation device per unit volume determined according to the cold accumulation industry sample statistics can be used as the cold accumulation amount of the cold accumulation device per unit volume. For example, if the cold storage capacity per unit volume of the cold storage device is expressed as 50 kwh/cubic meter on average, the cold storage capacity per unit volume of the cold storage device may be expressed as 50 kwh/cubic meter. The height of the cold storage device can be set according to the general height of the basement where the cold storage device is located. For example, the general height of a basement where the cold storage device is located is 2.5 meters, and the height of the cold storage device can be considered to be 2.5 meters. The cold accumulation amount of the cold accumulation equipment per unit area can be obtained according to the cold accumulation amount of the cold accumulation equipment per unit volume and the height of the cold accumulation equipment.
For example, the cold storage amount per unit area of the cold storage device is 50 kwh/cubic meter, the height of the cold storage device is 2.5 meters, and then the cold storage amount per unit area of the cold storage device is 125 kwh/square meter. If the cold storage amount obtained from the cold storage rate is 12500 kilowatt-hour, the floor area of the cold storage device is 100 square meters.
Step S207: and in the case that the profit margin meets a third condition and the floor area meets a fourth condition, executing the step of determining to plan the cold storage project at the project site.
In one possible implementation, in a case where the profit margin satisfies a third condition and the floor space satisfies a fourth condition, the method of performing the step of determining that a cold storage project is planned at the project site includes: adjusting the cold accumulation rate according to a preset step length, and calculating according to different cold accumulation rates to obtain corresponding cold accumulation amount, occupied area and profit rate; sorting the calculated different profit margins from high to low to obtain a profit margin ranking table, and obtaining a cold accumulation rate ranking table corresponding to the profit margin ranking table according to the profit margin ranking table; whether the floor area corresponding to each cold accumulation rate meets the fourth condition is sequentially judged according to the cold accumulation rate sorting table; when the first floor space corresponding to the first cold accumulation rate in the cold accumulation rates meets the fourth condition, judging whether the first profit margin corresponding to the first cold accumulation rate meets the third condition; when the first profit margin satisfies the third condition, the step of determining that a cold storage project is planned at the project site is performed.
Illustratively, the preset step size includes, but is not limited to, 5%, 10%, etc. The preset step size is exemplified as 5%. Setting the initial cold accumulation rate to be 5%, and calculating the corresponding cold accumulation amount, the occupied area and the profit margin under the condition that the cold accumulation rate is 5%. The calculation method refers to a specific implementation method of steps S204 to S206 shown in fig. 2, and is not described herein again. Adjusting the cold accumulation rate to 10% according to the preset step length of 5%, and calculating the corresponding cold accumulation amount, the occupied area and the profit margin under the condition that the cold accumulation rate is 10%. Adjusting the cold accumulation rate to 10% according to the preset step length of 5%, and calculating the corresponding cold accumulation amount, the occupied area and the profit rate under the condition that the cold accumulation rate is 15%; and sequentially calculating the cold accumulation amount, the occupied area and the profit margin under different cold accumulation rates until the corresponding cold accumulation amount, the corresponding occupied area and the corresponding profit margin under the condition that the cold accumulation rate is 100 percent are obtained through calculation. It can be known that each cold accumulation rate corresponds to a profit margin, and the profit margin ranking table can be obtained by ranking according to the profit margins from high to low. The cold accumulation rate and the profit margin are in one-to-one correspondence, so that a cold accumulation rate sorting table corresponding to the profit margin sorting table can be obtained. For example, the profit margin ranking table has profit margins pr1-pr20 in order from high to low. That is, pr1 is largest, pr1 is greater than pr2, pr2 is greater than pr3, pr3 is greater than pr4, and pr20 is smallest. A cold storage rate ranking table comprising scr1-scr20 can be obtained according to the profit margin ranking table pr1-pr 20. Wherein, scr1-sccr20 all represent cold storage rates, pr1 is obtained according to scr1, pr2 is obtained according to scr2, and the like, and pr20 is obtained according to scr 20. It can be known that scr1-scr20 do not have strict sequence relationship in value, but have the sequence corresponding to the sequence relationship of profit margins. It is known. A corresponding occupied area s1-s20 can be obtained according to the cold accumulation rate scr1-scr 20. Where s1 is obtained from scr1, s2 is obtained from scr2, and so on, and s20 is obtained from scr 20. Whether the occupied areas s1-s20 satisfy the fourth condition is sequentially judged according to the sequence of the profit margins scr1-scr 20. Wherein the fourth condition is whether the floor space is less than or equal to the area available for construction. Wherein the area available for construction can be preset. And when the first occupied area corresponding to the first cold accumulation rate in the cold accumulation rates meets the fourth condition, judging whether the first profit margin corresponding to the first cold accumulation rate meets a third condition. For example, s1 does not satisfy the fourth condition, then a determination is made as to whether s2 satisfies the fourth condition; if s2 still does not satisfy the fourth condition, determining whether s3 satisfies the fourth condition; if s4 satisfies the fourth condition, s4 can find s4 corresponding scr4, and s4 can find pr4 corresponding pr4, and determine whether pr4 satisfies the third condition. Illustratively, the third condition may be a profit margin of 12% or more. If pr4 satisfies the third condition, the judgment is stopped, and the cold accumulation project is planned at the project site and scr4 corresponding to pr4 is used as the cold accumulation rate when the project is planned. If pr4 does not satisfy the third condition, then determine whether s5 satisfies the fourth condition, and if s5 satisfies the fourth condition, determine whether pr5 satisfies the third condition. And if the judgment result shows that the s20 still does not satisfy the fourth condition or the pr20 still does not satisfy the third condition, determining that the cold accumulation project is not planned at the place where the project point is located.
And the feasibility of the project is obtained on the aspect of area by judging whether the floor area is less than or equal to the area available for construction. By judging the profit margin, the economy of the cold accumulation project can be improved.
The following describes an apparatus according to an embodiment of the present application with reference to the drawings.
Referring to fig. 3, a schematic composition diagram of an apparatus for planning a cold storage project according to an embodiment of the present application is shown, where the apparatus 300 for planning a cold storage project includes:
the obtaining module 301 is configured to obtain an electricity price system of a location of the project point;
the obtaining module 301 is further configured to obtain a cold load of a location where the project point is located when the electricity price system is peak-valley time-of-use electricity prices;
and the processing module 302 is used for determining that a cold storage project is planned at the place where the project point is located under the condition that the coincidence degree of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition.
Optionally, the obtaining module 301 is further configured to obtain 24-hour hourly cooling loads of a day on which the maximum value of the cooling load is located within a preset time range;
the processing module 302 is further configured to mark time periods corresponding to the hourly cooling loads as a cold load peak time period, a cold load leveling time period, and a cold load valley time period according to the hourly cooling loads;
the processing module 302 is further configured to determine that a cold storage project is planned at the project site if the overlap ratio of the cold load peak time period and the electricity price peak time period and the overlap ratio of the cold load valley time period and the electricity price valley time period satisfy the first condition.
Optionally, the processing module 302 is further configured to execute the step of obtaining the cooling load at the location of the item point when a ratio of the peak-time electricity price to the valley-time electricity price satisfies a second condition.
Optionally, the processing module 302 is further configured to determine a cold storage amount according to the cold storage rate and the daily cold load;
the processing module 302 is further configured to determine a profit margin according to the cold accumulation amount;
the processing module 302 is further configured to determine a floor area of the cold storage device according to the cold storage amount;
the processing module 302 is further configured to execute the step of determining that the cold storage project is planned at the project site if the profit margin satisfies a third condition and the floor area satisfies a fourth condition.
Optionally, the processing module 302 is further configured to determine a model of the cold storage device according to the cold storage amount;
the processing module 302 is further configured to determine the profit margin according to the price of the cold storage device, the cold storage expenditure and the cold storage profit, wherein the price of the cold storage device is determined according to the model of the cold storage device.
Optionally, the obtaining module 301 is further configured to determine a cold storage amount of the cold storage device per unit volume;
the processing module 302 is further configured to determine the cold storage amount of the cold storage device per unit area according to the cold storage amount of the cold storage device per unit volume and the height of the cold storage device;
the processing module 302 is further configured to determine the floor area according to the cold accumulation amount and the cold accumulation amount of the unit area cold accumulation device.
Optionally, the processing module 302 is further configured to adjust the cold accumulation rate according to a preset step length, and calculate and obtain corresponding cold accumulation amount, occupied area and profit margin according to different cold accumulation rates;
the processing module 302 is further configured to sort the calculated different profit margins from high to low to obtain a profit margin ranking table, and obtain a cold storage rate ranking table corresponding to the profit margin ranking table according to the profit margin ranking table;
the processing module 302 is further configured to sequentially determine whether the floor area corresponding to each cold accumulation rate meets the fourth condition according to the cold accumulation rate sorting table;
the processing module 302 is further configured to determine whether a first profit margin corresponding to a first cool storage rate of the respective cool storage rates satisfies the third condition when a first floor space corresponding to the first cool storage rate satisfies the fourth condition;
the processing module 302 is further configured to execute the step of determining that the cold storage project is planned at the project site when the first profit margin satisfies the third condition.
The specific implementation function of the apparatus 300 for planning a cold storage device may refer to the method steps corresponding to fig. 1-2, which are not described herein again.
Please refer to fig. 4, which is a schematic composition diagram of an electronic device according to an embodiment of the present disclosure. Can include the following steps: a processor 110, a memory 120; wherein, the processor 110, the memory 120 and the communication interface 130 are connected by a bus 140, the memory 120 is used for storing instructions, and the processor 110 is used for executing the instructions stored by the memory 120 to implement the corresponding method steps as described above in fig. 1-2.
The processor 110 is configured to execute the instructions stored in the memory 120 to control the communication interface 130 to receive and transmit signals, thereby implementing the steps of the above-described method. The memory 120 may be integrated in the processor 110, or may be provided separately from the processor 110.
As an implementation manner, the function of the communication interface 130 may be realized by a transceiver circuit or a dedicated chip for transceiving. The processor 110 may be considered to be implemented by a dedicated processing chip, processing circuit, processor, or a general-purpose chip.
As another implementation manner, a manner of using a general-purpose computer to implement the apparatus provided in the embodiment of the present application may be considered. Program code that will implement the functions of the processor 110 and the communication interface 130 is stored in the memory 120, and a general-purpose processor implements the functions of the processor 110 and the communication interface 130 by executing the code in the memory 120.
For the concepts, explanations, details and other steps related to the technical solutions provided in the embodiments of the present application related to the electronic device, reference is made to the description of the method or the contents of the method steps executed by the apparatus in the other embodiments, which is not described herein again.
As another implementation of the present embodiment, a computer-readable storage medium is provided, on which instructions are stored, which when executed perform the method in the above-described method embodiment.
As another implementation of the present embodiment, a computer program product is provided that contains instructions that, when executed, perform the method in the above-described method embodiments.
Those skilled in the art will appreciate that only one memory and processor are shown in fig. 4 for ease of illustration. In an actual terminal or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, and the like, which is not limited in this application.
It should be understood that, in the embodiment of the present Application, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like.
It will also be appreciated that the memory referred to in the embodiments of the application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct bus RAM (DR RAM).
It should be noted that when the processor is a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, the memory (memory module) is integrated in the processor.
It should be noted that the memory described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The bus may include a power bus, a control bus, a status signal bus, and the like, in addition to the data bus. But for clarity of illustration the various buses are labeled as buses in the figures.
It should also be understood that reference herein to first, second, third, fourth, and various numerical designations is made only for ease of description and should not be used to limit the scope of the present application.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here.
In the embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various Illustrative Logical Blocks (ILBs) and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of planning a cold storage project, the method comprising:
acquiring an electricity price system of the location of the project point;
under the condition that the electricity price system is peak-valley time-of-use electricity price, acquiring the cold load of the location of the project site;
and under the condition that the coincidence ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition, determining that a cold accumulation project is planned at the place where the project point is located.
2. The method of claim 1, wherein determining that a cold storage project is planned at the project site with a degree of coincidence of a peak-valley period of the cold load and a peak-valley period of the peak-valley time-of-use electricity prices satisfying a first condition comprises:
acquiring 24-hour hourly cooling load of a day where the maximum value of the cooling load is located within a preset time range;
marking the time intervals corresponding to the hourly cooling loads as a cold load peak time interval, a cold load leveling time interval and a cold load valley time interval respectively according to the hourly cooling loads;
and under the condition that the coincidence degree of the cold load peak time period and the electricity price peak time period and the coincidence degree of the cold load valley time period and the electricity price valley time period meet the first condition, determining that a cold accumulation project is planned at the place where the project point is located.
3. The method of claim 1, wherein prior to said obtaining the cooling load at the location of the project site, the method further comprises:
the step of acquiring the cooling load at the location of the item point is performed in a case where a ratio of the peak-time electricity prices to the valley-time electricity prices satisfies a second condition.
4. The method of claim 3, wherein prior to said determining to plan a cold storage project at the project site, the method further comprises:
determining cold accumulation amount according to the cold accumulation rate and the daily cold load;
determining profit margin according to the cold accumulation amount;
determining the floor area of the cold accumulation equipment according to the cold accumulation amount;
and in the case that the profit margin meets a third condition and the floor area meets a fourth condition, executing the step of determining to plan the cold storage project at the project site.
5. The method of claim 4, wherein determining a profit margin based on the cold storage capacity comprises:
determining the type of the cold accumulation equipment according to the cold accumulation amount;
and determining the profit margin according to the price of the cold accumulation equipment, the cold accumulation expenditure and the cold accumulation income, wherein the price of the cold accumulation equipment is determined according to the model of the cold accumulation equipment.
6. The method of claim 4, wherein determining a footprint of the cold storage device based on the cold storage amount comprises:
determining the cold accumulation amount of the unit volume cold accumulation equipment;
determining the cold accumulation amount of the cold accumulation equipment per unit area according to the cold accumulation amount of the cold accumulation equipment per unit volume and the height of the cold accumulation equipment;
and determining the occupied area according to the cold accumulation amount and the cold accumulation amount of the unit area cold accumulation equipment.
7. The method of claim 4, wherein the step of determining that a cold storage project is planned at the project site if the profit margin satisfies a third condition and the floor space satisfies a fourth condition comprises:
adjusting the cold accumulation rate according to a preset step length, and calculating according to different cold accumulation rates to obtain corresponding cold accumulation amount, occupied area and profit rate;
sorting the calculated different profit margins from high to low to obtain a profit margin ranking table, and obtaining a cold accumulation rate ranking table corresponding to the profit margin ranking table according to the profit margin ranking table;
whether the floor area corresponding to each cold accumulation rate meets the fourth condition is sequentially judged according to the cold accumulation rate sorting table;
when the first floor space corresponding to the first cold accumulation rate in the cold accumulation rates meets the fourth condition, judging whether the first profit margin corresponding to the first cold accumulation rate meets the third condition;
when the first profit margin satisfies the third condition, the step of determining that a cold storage project is planned at the project site is performed.
8. An apparatus for planning a cold storage project, the apparatus comprising:
the acquisition module is used for acquiring the electricity price system of the location of the project point;
the acquisition module is further used for acquiring the cold load of the location of the project point under the condition that the electricity price system is peak-valley time-of-use electricity price;
and the processing module is used for determining that a cold accumulation project is planned at the place where the project point is located under the condition that the overlap ratio of the peak-valley period of the cold load and the peak-valley period of the peak-valley time-of-use electricity price meets a first condition.
9. An electronic device, comprising:
a processor, a memory and a bus, the processor and the memory being connected by the bus, wherein the memory is configured to store a set of program code, and the processor is configured to call the program code stored in the memory to perform the method according to any one of claims 1-7.
10. A computer-readable storage medium, comprising:
the computer-readable storage medium has stored therein instructions which, when run on a computer, implement the method of any one of claims 1-7.
CN202111163466.XA 2021-09-30 2021-09-30 Method and device for planning cold accumulation project Pending CN113899036A (en)

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58133542A (en) * 1982-02-03 1983-08-09 Hitachi Ltd Heat pump type air conditioner
US4922998A (en) * 1987-11-05 1990-05-08 Peter Carr Thermal energy storage apparatus
JP2007085629A (en) * 2005-09-21 2007-04-05 Taikisha Ltd Operating method of ice thermal storage equipment and ice thermal storage equipment
CN201753965U (en) * 2010-08-02 2011-03-02 肖安 Central air-conditioning chilled water storage peak-shifting and valley-filling energy-saving system
CN106197114A (en) * 2016-07-13 2016-12-07 同济大学 A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN205980188U (en) * 2016-08-05 2017-02-22 上海冰核时代科技中心(有限合伙) Ice cold -storage optimal control system based on load forecast
CN107388667A (en) * 2017-08-22 2017-11-24 中国科学院广州能源研究所 A kind of new ice slurry preparation facilities and preparation method thereof
CN207422525U (en) * 2017-10-17 2018-05-29 上海阿尔西空调系统服务有限公司 Water cold storage water systems for air conditioning with recuperation of heat
CN110657512A (en) * 2018-06-29 2020-01-07 清华大学 Ice storage air conditioner economic analysis method and device based on thermoelectric combined scheduling
CN112393341A (en) * 2020-11-13 2021-02-23 珠海格力电器股份有限公司 Ice storage control method and device, air conditioning system, storage medium and processor
CN112784439A (en) * 2021-02-09 2021-05-11 清华大学 Energy internet planning method and device based on discretization model
CN112856634A (en) * 2021-01-25 2021-05-28 珠海格力电器股份有限公司 Control method, device, controller and system of ice storage air conditioning system
CN113188182A (en) * 2021-05-06 2021-07-30 北京汇英恒信科技有限公司 Energy storage component and multi-split air conditioning system

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58133542A (en) * 1982-02-03 1983-08-09 Hitachi Ltd Heat pump type air conditioner
US4922998A (en) * 1987-11-05 1990-05-08 Peter Carr Thermal energy storage apparatus
JP2007085629A (en) * 2005-09-21 2007-04-05 Taikisha Ltd Operating method of ice thermal storage equipment and ice thermal storage equipment
CN201753965U (en) * 2010-08-02 2011-03-02 肖安 Central air-conditioning chilled water storage peak-shifting and valley-filling energy-saving system
CN106197114A (en) * 2016-07-13 2016-12-07 同济大学 A kind of combination type phase change cold-storage device and use the air conditioning system of this cold-storage device
CN205980188U (en) * 2016-08-05 2017-02-22 上海冰核时代科技中心(有限合伙) Ice cold -storage optimal control system based on load forecast
CN107388667A (en) * 2017-08-22 2017-11-24 中国科学院广州能源研究所 A kind of new ice slurry preparation facilities and preparation method thereof
CN207422525U (en) * 2017-10-17 2018-05-29 上海阿尔西空调系统服务有限公司 Water cold storage water systems for air conditioning with recuperation of heat
CN110657512A (en) * 2018-06-29 2020-01-07 清华大学 Ice storage air conditioner economic analysis method and device based on thermoelectric combined scheduling
CN112393341A (en) * 2020-11-13 2021-02-23 珠海格力电器股份有限公司 Ice storage control method and device, air conditioning system, storage medium and processor
CN112856634A (en) * 2021-01-25 2021-05-28 珠海格力电器股份有限公司 Control method, device, controller and system of ice storage air conditioning system
CN112784439A (en) * 2021-02-09 2021-05-11 清华大学 Energy internet planning method and device based on discretization model
CN113188182A (en) * 2021-05-06 2021-07-30 北京汇英恒信科技有限公司 Energy storage component and multi-split air conditioning system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴若飒: "公共建筑中蓄冷空调系统能效经济性评价与保障体系研究", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅱ辑》 *
常珠: "冰蓄冷空调设计要点分析", 《建材技术与应用》 *

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Application publication date: 20220107