Comprehensive energy complementary energy-saving operation method, device and system

Abstract

The invention discloses a comprehensive energy complementation energy-saving operation method, device and system, and the method comprises the steps: determining a target hot water use amount according to a dry-bulb temperature and a wet-bulb temperature predicted in the whole day, and the occupancy rate of a room; according to the target hot water use amount, the water use peak period and the water use non-peak period, the hot water use amount needed to be used hour by hour in the Mingming day is determined; in the first time period, the first operation duration of the heat pump is determined with the minimum total cost according to the hot water using amount required to be used hourly in the whole day, the water using duration in each time period and the heat recycled by the air cooling unit; and in the second time period, the second operation time length of the heat pump is determined by minimizing the total cost according to the hot water consumption required to be used hour by hour in the whole day, the water consumption time length in each time period, the heat recovered by the air cooling unit and the heat corresponding to the solar energy. By adopting the technical scheme, the maximum economic benefit of multi-energy complementary operation can be realized.

Description

Technical Field

[0001] The present invention relates to the field of energy heating technology, and in particular to a comprehensive energy complementary energy-saving operation method, device and system. Background Art

[0002] In recent years, with the efficient use of domestic hot water, many buildings (such as hotels, hospitals and other buildings with high population density) usually adopt domestic hot water systems based on comprehensive energy complementarity of heat pumps.

[0003] However, in actual operation, the imperfect domestic hot water control strategy restricts the application of comprehensive energy complementarity, resulting in increased energy consumption in the water heating process, which is contrary to the efficient operation of domestic hot water design. Summary of the Invention

[0004] In view of this, the present invention provides a comprehensive energy complementary energy-saving operation method, device and system, which can effectively reduce the operating time of the heat pump, make full use of solar energy and recovered heat, and achieve the maximum economic benefit of multi-energy complementary operation.

[0005] The present invention provides a comprehensive energy complementary energy-saving operation method, comprising: Determine the target hot water usage based on tomorrow's predicted dry-bulb and wet-bulb temperatures, as well as the room occupancy rate; Determine the hourly hot water consumption for the current day based on the target hot water consumption, as well as the peak water consumption period and the off-peak water consumption period; In the first period, the first operating time of the heat pump is determined based on the hourly hot water consumption tomorrow, the water usage duration in each period, and the heat recovered by the air-cooled unit, and in a way that minimizes the total cost; In the second time period, the second operating time of the heat pump is determined based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, the heat recovered by the air-cooled unit and the heat corresponding to the solar energy, and with the total cost minimized. The total time of the first time period and the second time period is 24 hours.

[0006] Optionally, determining the target hot water usage based on tomorrow's predicted dry-bulb temperature, wet-bulb temperature, and room occupancy rate includes: determining a perceived temperature according to the dry-bulb temperature and the wet-bulb temperature, wherein the perceived temperature is used to characterize the frequency of hot water use; According to the reference temperature, determine the temperature enhancement coefficient; determining a temperature compensation coefficient according to the temperature enhancement coefficient, the user body temperature, and the reference temperature; Determine the basic water consumption based on the room occupancy rate, the number of rooms, and the basic per capita water consumption; The target hot water consumption is determined according to the temperature compensation coefficient and the basic water consumption.

[0007] Optionally, the target hot water consumption is determined using the following formula:

[0008] in, Indicates target hot water usage; Indicates the total number of rooms; represents the occupancy rate; represents the dry bulb temperature, represents the first weight coefficient; represents the wet bulb temperature, represents the second weight coefficient, and ; represents the temperature enhancement coefficient; represents the temperature sensitivity index; Indicates the reference temperature; represents the basic per capita water consumption; Indicates the use of body temperature.

[0009] Alternatively, the amount of hot water to be used hourly tomorrow may be determined in the following manner:

[0010] in, Indicates the moment; Indicates target hot water usage; Indicates the amount of hot water to be used hourly tomorrow; represents the basic period proportional function, which is a constant; Indicates the morning peak intensity coefficient of water use; Indicates the evening peak intensity coefficient of water use; Indicates the morning peak hour. Indicates the duration of the morning rush hour; Indicates the peak hour in the evening. Indicates the duration of the evening peak.

[0011] Optionally, determining the first operating time of the heat pump in the first time period based on the hourly hot water consumption tomorrow, the water usage duration in each time period, and the heat recovered by the air-cooled unit, and minimizing the total cost, includes: Determining the total cost during the first period based on the electricity price distribution during the first period, the rated heat output power of the heat pump, the operating time of the heat pump during each sub-period, the single startup cost and the number of startups of the heat pump, and the performance coefficient of the heat pump; Determining a first dynamic balance equation based on the heat storage capacity of the water storage container at the end of the current period, the heat storage capacity of the previous period, the heat recovered by the air-cooling unit during the current period, the heat provided by the heat pump during each period, and the hot water usage during the first period; Determining an operation logic constraint and a start / stop flag of the heat pump, wherein the operation logic constraint of the heat pump refers to whether the heat pump is running in each time period within the first time period, and the start / stop flag is used to indicate the number of times the heat pump is started; According to a mixed integer linear programming algorithm, the total cost in the first time period, the first dynamic balance equation, and the operating logic constraints and start-stop flags of the heat pump are used to traverse the feasible solution space to determine the operating time of the heat pump in each sub-time period, and the sum of the operating time of the heat pump in each time period is used as the first operating time of the heat pump.

[0012] Optionally, the total cost in the first period is:

[0013] The first dynamic equilibrium equation is:

[0014] Among them, the first dynamic equilibrium equation also satisfies:

[0015] The operation logic constraints meet the following requirements:

[0016] The start-stop mark satisfies:

[0017] in, represents the electricity price distribution in the first period; Indicates the duration of the first period; Indicates the rated power of the heat pump; Indicates the operating time of the heat pump in each sub-period; Indicates the coefficient of performance of the heat pump; represents the startup cost coefficient; Indicates the number of starts; Indicates the heat storage capacity of the water storage container at the end of the current period; Indicates the heat storage in the previous period; Indicates the heat recovery amount of the air-cooled unit; Indicates the amount of hot water used in the first period; Indicates the minimum safety thermal margin; Indicates the maximum heat storage capacity of the water storage container; Indicates the start and stop status of the heat pump, running is 1, and stopping is 0; Indicates the minimum operating time of the heat pump.

[0018] Optionally, in the second time period, determining the second operating time of the heat pump based on the hourly hot water consumption tomorrow, the water usage duration in each time period, the heat recovered by the air-cooled unit, and the heat corresponding to the solar energy, and minimizing the total cost, includes: determining the total cost during the second period based on the electricity price distribution during the second period, the rated heat output power of the heat pump, the operating time of the heat pump during each sub-period, the single startup cost and the number of startups of the heat pump, and the performance coefficient of the heat pump; Determine a second dynamic balance equation based on the amount of heat stored in the water storage container at the end of the first period, the amount of heat recovered by the air-cooled unit during the current period, the amount of heat provided by the heat pump during each period, the amount of hot water used during the second period, and the amount of solar heat used; Determining an operation logic constraint, a start / stop flag, and an operation time limit in each sub-period of the heat pump, wherein: the operation logic constraint of the heat pump refers to whether the heat pump is running in each period of the second period, and the start / stop flag is used to indicate the number of starts of the heat pump; According to a mixed integer linear programming algorithm, the total cost in the second time period, the second dynamic balance equation, the operating logic constraints of the heat pump, the start and stop flags, and the operating time limits in each sub-time period are used to traverse the feasible solution space to determine the operating time of the heat pump in each sub-time period, and the sum of the operating time of the heat pump in each time period is used as the second operating time of the heat pump.

[0019] Optionally, the heat corresponding to solar energy is determined in the following manner:

[0020] in, Indicates the heat corresponding to solar energy; Indicates the area of ​​the collector; represents the initial optical efficiency; Indicates the time periods within the second period n Correction value of sunlight incident angle; N Indicates the total number of divided time periods; represents the heat loss coefficient; Indicates the radiation amount of each divided time period in the second period; represents the mean temperature difference; represents the water temperature at the end of the first period; Indicates the target water temperature in the second period; Indicates the average temperature during the second period.

[0021] Accordingly, the present invention also provides a comprehensive energy complementary energy-saving operation device, comprising: The first processing unit is configured to determine a target hot water usage based on the predicted dry-bulb temperature, wet-bulb temperature, and room occupancy rate for tomorrow, and determine the hourly hot water usage for tomorrow based on the target hot water usage and the peak water usage period and the off-peak water usage period; The second processing unit is used to determine the first operating time of the heat pump in the first time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit, and to minimize the total cost; and is used to determine the second operating time of the heat pump in the second time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit and the heat corresponding to solar energy, and to minimize the total cost, wherein the total time of the first time period and the second time period is 24 hours.

[0022] The present invention also provides a comprehensive energy complementary energy-saving operation system, characterized by comprising: The complementary energy-saving operation device as described in any of the preceding embodiments; A solar thermal collector, a heat pump and an air cooling unit are electrically coupled to the complementary energy-saving operation device respectively.

[0023] Compared with the prior art, the technical solution of the embodiment of the present invention has the following advantages: The comprehensive energy complementary energy-saving operation method provided by the embodiment of the present invention divides 24 hours into segments and determines the first operating time of the heat pump in the first time period in combination with the heat recovered by the air-cooling unit, and determines the second operating time of the heat pump in the second time period in combination with the heat recovered by the air-cooling unit and the heat corresponding to solar energy. This comprehensively considers the solar heating amount, the heat recovered by the air-cooling unit and the heat generated by the heat pump, can maximize the utilization of solar energy resources and recovered heating amount, reasonably allocates the operating time of the heat pump, and has the opportunity to make the heat pump operate at a lower electricity price, thereby achieving the maximum economic benefit of the operation of the multi-energy complementary system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0025] Figure 1 A flow chart of a comprehensive energy complementary energy-saving operation method according to an embodiment of the present invention is shown; Figure 2 A flow chart for determining target hot water usage according to an embodiment of the present invention is shown; Figure 3 A flow chart for determining a first operating time of a heat pump according to an embodiment of the present invention is shown; Figure 4 A flow chart for determining the second operating time of a heat pump according to an embodiment of the present invention is shown; Figure 5 The figure shows a structural diagram of a comprehensive energy complementary energy-saving operation device in one embodiment of the present invention. DETAILED DESCRIPTION

[0026] As mentioned in the background technology, the existing water heating solutions consume a lot of energy. This is because: First, solar thermal collector water heating does not combine the predicted hot water volume and solar thermal collector heating capacity; when solar energy meets the hot water demand, there is still a situation where heat pumps are used to generate hot water.

[0027] Second, the water temperature heated by the air-cooled heat recovery unit does not meet the domestic hot water temperature requirements of users, so the heat recovery unit is not activated.

[0028] Third, the heat pump always runs at high temperature, which increases the operating cost.

[0029] In order to solve the above technical problems, the present invention provides a comprehensive energy complementary energy-saving operation method, which divides 24 hours into segments and combines the heat recovered by the air-cooled unit to determine the first operating time of the heat pump in the first time period, and combines the heat recovered by the air-cooled unit and the heat corresponding to solar energy to determine the second operating time of the heat pump in the second time period. This comprehensively considers the solar heating amount, the air-cooled unit heat recovery heating amount and the heat pump heating amount, can maximize the utilization of solar energy resources and recovered heating amount, reasonably allocates the operating time of the heat pump, and has the opportunity to make the heat pump operate at a lower electricity price, thereby achieving the maximum economic benefit of the operation of the multi-energy complementary system.

[0030] In order to enable those skilled in the art to better understand and implement the present disclosure, the specific schemes, principles, advantages and effects of the present disclosure are described in detail below through specific embodiments with reference to the accompanying drawings.

[0031] See also Figure 1 The flowchart shown is a comprehensive energy complementary energy-saving operation method in one embodiment of the present invention. The energy-saving operation method can be applied to hospitals and / or hotels.

[0032] like Figure 1 As shown, you can perform the following steps: S11, determine the target hot water usage based on tomorrow's predicted dry-bulb temperature, wet-bulb temperature, and room occupancy rate.

[0033] In some embodiments, dry-bulb temperature and wet-bulb temperature are two temperature concepts commonly used in meteorology and thermodynamics, wherein the dry-bulb temperature refers to the actual temperature of the air and is not affected by the humidity of the air, so it is called "dry-bulb"; the wet-bulb temperature reflects the humidity condition of the air. Usually, at the same dry-bulb temperature, the lower the wet-bulb temperature, the drier the air; the higher the wet-bulb temperature, the greater the humidity of the air.

[0034] By obtaining the predicted dry-bulb and wet-bulb temperatures, it is possible to reflect tomorrow's air comfort level, which is crucial for predicting hot water usage.

[0035] In some embodiments, dry-bulb and wet-bulb temperature forecasts may be obtained through weather applications and websites.

[0036] In some embodiments, the occupancy rate of the room defines the number of people to be served tomorrow, which is a major factor affecting the hot water consumption. In this way, after determining the number of rooms, the number of people that each room can accommodate and the occupancy rate, the number of people to be served tomorrow can be predicted.

[0037] In this way, the target hot water consumption can be determined by combining tomorrow's air comfort and tomorrow's number of people, while taking into account weather factors and the number of occupants.

[0038] In some embodiments, after determining the target hot water usage in step S11, a margin may be added to prevent unexpected situations. For example, a surge in hot water usage within a time period; another example, an occupancy rate exceeding the predicted occupancy rate; or another example, tomorrow being a weekend or holiday.

[0039] See also Figure 2 A flow chart for determining target hot water usage in one embodiment of the present invention is shown in FIG. Figure 2 Said method comprises steps S21 to S25: S21 , determining a perceived temperature according to the dry-bulb temperature and the wet-bulb temperature, where the perceived temperature is used to represent the frequency of hot water use.

[0040] In some embodiments, the dry-bulb temperature and wet-bulb temperature can reflect tomorrow's air comfort level, so the perceived temperature can reflect the temperature a person would feel. If the perceived temperature is close to or greater than room temperature, this indicates that hot water will be used less frequently tomorrow; if the perceived temperature is significantly lower than room temperature, this indicates that hot water will be used more frequently tomorrow.

[0041] In some embodiments, the following formula is used to determine the perceived temperature:

[0042] in, Indicates the use of body temperature; represents the dry bulb temperature, represents the first weight coefficient; represents the wet bulb temperature, represents the second weight coefficient, and .

[0043] In some embodiments, a It can be 0.7, b It can be 0.3. In some other embodiments, a It can be 0.6, b It can be 0.4, and this solution does not limit a and b The specific value of , as long as the sum of the two is 1.

[0044] Further, a and b can change with the seasons and there are a Less than b For example, when the temperature of some bulbs is greater than the reference value, the hot water consumption is reduced, which can be reduced. a .

[0045] S22, determining a temperature enhancement coefficient according to the reference temperature.

[0046] In some embodiments, the base temperature defines a basic reference limit for hot water use, so that the temperature enhancement factor can be adaptively adjusted. That is, the basic reference limit serves as the base temperature for hot water demand, which can be an annual average or a comfortable temperature.

[0047] In some embodiments, the temperature enhancement coefficient may be determined by linear regression based on the actual conditions of multiple sets of reference temperatures on the current day and in history.

[0048] S23: determining a temperature compensation coefficient according to the temperature enhancement coefficient, the user body temperature, and the reference temperature.

[0049] In some embodiments, the temperature compensation coefficient can be used to correct the hot water temperature in response to tomorrow's actual temperature conditions to improve prediction accuracy.

[0050] In some embodiments, the temperature compensation coefficient is determined in the following manner:

[0051] in, represents the temperature enhancement coefficient; represents the temperature sensitivity index; Indicates the reference temperature; Indicates the use of body temperature.

[0052] By using the above formula, an asymmetric response is achieved. Less than When , the exponential term increases, so more hot water is needed; Greater than When , the index term approaches 1, returning to the basic demand. To control sensitivity, it can be increased steeply at low temperatures.

[0053] S24, determines the basic water consumption according to the room occupancy rate, the number of rooms, and the basic per capita water consumption.

[0054] In some embodiments, the basic water consumption

[0055] in, Indicates the total number of rooms; represents the occupancy rate; Indicates the basic per capita water consumption. The basic per capita water consumption can be determined based on historical data. For example, the per capita water consumption within seven days can be used as the basic per capita water consumption.

[0056] S25 , determining the target hot water consumption according to the temperature compensation coefficient and the basic water consumption.

[0057] In some embodiments, the target hot water usage for:

[0058] By implementing steps S21 to S25, the nonlinear relationship between hot water demand and temperature is taken into account, particularly the characteristic that demand increases sharply at low temperatures and changes more gradually at high temperatures. Occupancy rate is also used as the primary linear driver, allowing for temperature effects while also making nonlinear adjustments based on occupancy rate.

[0059] In some embodiments, it may be possible to determine based on historical parameters and ,in:

[0060] After taking the logarithm of both sides, we can determine and .

[0061] More specifically, the target hot water consumption for multiple days and the difference between the perceived temperature on the corresponding day and the reference temperature are obtained to determine and .

[0062] S12, determining the hot water consumption to be used hourly today according to the target hot water consumption, as well as the water consumption peak period and the water consumption non-peak period.

[0063] In some embodiments, step S11 is used to determine the total amount of hot water required for tomorrow. However, the frequency and amount of hot water used vary during different time periods. Therefore, the day can be segmented according to the time period of use to determine peak water consumption periods and off-peak water consumption periods.

[0064] For example, if a day corresponds to 24 hours, the peak water usage hours may be 7:00 AM to 9:00 AM and 8:00 PM to 9:00 PM, and the remaining hours are off-peak water usage hours.

[0065] Furthermore, a basic period ratio function can be set for each period, for example, the basic period ratio function from 7:00 AM to 9:00 AM is 0.12, the basic period ratio function from 8:00 PM to 9:00 PM is 0.20, and the basic period ratio functions of the remaining periods are divided according to the ratio.

[0066] In this case, the amount of hot water to be used hourly tomorrow is:

[0067] in, t Indicates the moment; Indicates target hot water usage; Indicates the amount of hot water to be used hourly tomorrow; represents the basic period proportional function, which is a constant; Indicates the morning peak intensity coefficient of water use; Indicates the evening peak intensity coefficient of water use; Indicates the morning peak hour. Indicates the duration of the morning rush hour; Indicates the peak hour in the evening. Indicates the duration of the evening peak.

[0068] In some embodiments, The value can be 0.08~0.15, The value can be 0.10~0.20, and and The value of satisfies: the sum of the water volume in each time period does not exceed the target hot water consumption, for example, the sum of the water volume in each time period is equal to the target hot water consumption.

[0069] In some embodiments, and The value of reflects the trend of hot water consumption, Greater than , indicating that the morning peak is more concentrated; Less than , indicating that the evening peak is more concentrated. Therefore, we can adjust the and The value of .

[0070] It should be noted that the scheme illustrated in steps S11 and S12 only approximately expresses the predicted hot water usage, which is not static and can be dynamically adjusted according to the actual hot water usage tomorrow.

[0071] S13, in the first time period, determining the first operating time of the heat pump based on the hourly hot water consumption tomorrow, the water usage duration in each time period, and the heat recovered by the air-cooled unit, and minimizing the total cost.

[0072] In some embodiments, based on steps S11 and S12, the amount of hot water to be used tomorrow hour by hour can be determined, so that the water usage duration in each time period can be monitored in real time to determine the amount of hot water used when hot water is used.

[0073] In some embodiments, there is no solar energy during the first period, and thus the hot water demand is met based on the heat recovered from the air-cooled unit and the operation of the heat pump.

[0074] In some embodiments, the first time period may be: 00:00 AM to 06:00 AM, and 06:00 PM to 10:00 PM (in winter season) or 7:00 PM to 00:00 PM (in summer season).

[0075] Furthermore, in different regions, electricity prices vary at different times, and the total cost is affected by electricity prices. Therefore, the first operating time and operating time of the heat pump directly determine the total cost.

[0076] For example, in a certain area, the electricity prices are distributed as follows: valley price (0:00-8:00), flat price (8:00-10:00, 12:00-14:00, 19:00-24:00), peak price (10:00-12:00, 14:00-19:00).

[0077] Therefore, the operation time periods of the heat pump and the operation duration in each operation time period can be accurately allocated based on the first time period.

[0078] See also Figure 3 A flow chart of determining the first operating time of a heat pump in one embodiment of the present invention is shown in FIG. Figure 3 As shown, the steps are as follows: S31, determining the total cost in the first time period based on the electricity price distribution in the first time period, the rated heat output power of the heat pump, the operating time of the heat pump in each sub-time period, the single startup cost and the number of startups of the heat pump, and the performance coefficient of the heat pump.

[0079] In some embodiments, the first time period may be divided into a plurality of sub-time periods, and the lengths of the sub-time periods may be the same or different, so that each sub-time period has a corresponding electricity price.

[0080] In some embodiments, if the heat pump used remains unchanged and the corresponding parameters of the heat pump have little difference, the heat generated by the heat pump within each unit is substantially the same, so the total cost within the first period can be determined.

[0081] For example, the total cost in the first period is:

[0082] in, represents the electricity price distribution in the first period; Indicates the duration of the first period; Indicates the rated power of the heat pump; Indicates the operating time of the heat pump in each sub-period; Indicates the coefficient of performance of the heat pump; represents the startup cost coefficient; Indicates the number of startups.

[0083] In some embodiments, It is the ratio of the heat provided by the heat pump to the electrical energy consumed.

[0084] S32, determining a first dynamic balance equation based on the heat storage amount of the water storage container at the end of the current period, the heat storage amount of the previous period, the heat provided by the air-cooling unit during heat recovery in the current period, the heat provided by the heat pump in each period, and the hot water usage in the first period.

[0085] In some embodiments, when hot water is used, the heat provided by heat recovery and the heat provided by the heat pump in each time period should meet the hot water demand, thereby ensuring the continuity of water use.

[0086] Exemplarily, the first dynamic equilibrium equation is:

[0087] in, Indicates the heat storage capacity of the water storage container at the end of the current period; Indicates the heat storage in the previous period; Indicates the heat recovery amount of the air-cooled unit; Indicates the hot water usage in the first period.

[0088] In some embodiments, if t When it is 0, the heat storage capacity of the previous period is the heat storage capacity of the day, which can be read out through corresponding equipment, such as a supporting data acquisition system.

[0089] In some embodiments, It may be the amount of hot water to be used hourly in the time period (determined by step S12 ) and the water usage duration in the time period.

[0090] In some embodiments, the first dynamic equilibrium equation further satisfies:

[0091] in, Indicates the minimum safety thermal margin; Indicates the maximum heat storage capacity of the water storage container. It can be understood as the minimum safety reserve, a buffer heat to prevent water supply interruption; It can be understood as the maximum heat storage capacity of a water storage container, which is related to volume and temperature rise.

[0092] And by making, , which can maintain a higher heat storage margin during periods without solar energy.

[0093] In some embodiments, the heat recovery amount may be determined based on the refrigeration load and the heat recovery efficiency, for example, the product of the refrigeration load and the heat recovery efficiency.

[0094] In some embodiments, temperature sensors and flow meters can be installed on the inlet and outlet pipes of the heat recovery heat exchanger. The heat recovery capacity of the air-cooled unit can be:

[0095] in, represents the specific heat capacity of water; Indicates the density of water; represents the water flow rate in t hours; Indicates the water temperature at the heat exchanger outlet; Indicates the water temperature at the heat exchanger inlet; Indicates water flow time.

[0096] S33, determining the operation logic constraint and start / stop flag of the heat pump, wherein: the operation logic constraint of the heat pump refers to whether the heat pump is running in each time period within the first time period, and the start / stop flag is used to indicate the number of times the heat pump is started.

[0097] In some embodiments, the operation logic constraint is used to indicate under what circumstances the heat pump can operate; the start / stop flag limits the operation times and the minimum operation duration of the heat pump.

[0098] For example, the running logic constraints are satisfied: .

[0099] in, Indicates the start and stop status of the heat pump, running is 1, and stopping is 0; Indicates the minimum operating time of the heat pump. The minimum operating time of the heat pump refers to the minimum operating time after the heat pump is started, to prevent the heat pump from starting and stopping in short cycles.

[0100] The start-stop mark meets the following requirements: .

[0101] S34, according to the mixed integer linear programming algorithm, using the total cost in the first time period, the first dynamic balance equation, and the operating logic constraints and start-stop flags of the heat pump, by traversing the feasible solution space, the operating time of the heat pump in each sub-time period is determined, and the sum of the operating time of the heat pump in each time period is used as the first operating time of the heat pump.

[0102] In some embodiments, step S34 can be used to determine multiple expressions and limiting conditions, so that a mixed integer linear programming algorithm can be used to determine the operating time of the heat pump in each sub-period.

[0103] Exemplarily, through steps S31 to S33 , a plurality of variables and expressions can be determined, which can be used as inputs of a mixed integer linear programming algorithm.

[0104] Next, the solver configuration includes: initialization of the model to create the MILP model object, define the variable type (continuous / binary) and bounds, and set the objective function; addition of all mathematical constraint equations one by one; and optional accuracy configuration process, such as setting the optimization gap and the maximum solution time.

[0105] Finally, the branch and bound method is selected to traverse the feasible solution space and find the optimal solution, that is, the operating time of the heat pump in each sub-period.

[0106] In some embodiments, after determining the operating time of the heat pump in each sub-period, a summation operation is performed to determine the first operating time of the heat pump in the first period.

[0107] In this way, since the heat recovered by the air-cooling unit is taken into consideration, the first operating time of the heat pump in the first period can be shortened accordingly, thereby reducing the operating cost.

[0108] It should be pointed out that the reason why the first operating time of the heat pump in the first time period can be determined by the mixed integer linear programming algorithm is that: within the optimization framework, the essential process of determining the first operating time can be understood as: after clearly defining the constraints and objective function, through systematic search, find the optimal solution that meets all conditions.

[0109] S14, in the second time period, based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, the heat recovered by the air-cooled unit and the heat corresponding to the solar energy, and in order to minimize the total cost, determine the second operating time of the heat pump, wherein the total time of the first time period and the second time period is 24 hours.

[0110] In some embodiments, the second time period may be a time period other than the first time period within 24 hours.

[0111] In some embodiments, the operating scheme in the second period is different from that in the first period, the heat corresponding to solar energy is also taken into account, which will further reduce the use time of the heat pump in the second period.

[0112] It should be noted that the similarities between the operating plan of the second period and the operating plan of the first period are not described here.

[0113] See also Figure 4 A flow chart of determining the first operating time of a heat pump in one embodiment of the present invention is shown in FIG. Figure 4 As shown, the steps are as follows: S41 , determining a total cost for the second period based on the electricity price distribution during the second period, the rated heat output power of the heat pump, the operating time of the heat pump during each sub-period, the single startup cost and number of startups of the heat pump, and the performance coefficient of the heat pump.

[0114] In some embodiments, the total cost in the second period can refer to the description of the above example, except that the electricity price distribution in the second period is different from that in the first period, and the expression of the total cost is the same.

[0115] S42, determining a second dynamic balance equation based on the amount of heat stored in the water storage container at the end of the first time period, the amount of heat provided by the heat recovery of the air-cooled unit in the current time period, the amount of heat provided by the heat pump in each time period, the amount of hot water used in the second time period, and the amount of solar heat used.

[0116] Exemplarily, the second dynamic equilibrium equation is: .

[0117] in, Indicates the amount of solar heat utilized.

[0118] Furthermore, the heat corresponding to solar energy is:

[0119] in, Indicates the heat corresponding to solar energy; Indicates the area of ​​the collector; represents the initial optical efficiency; Indicates the time periods within the second period Correction value of sunlight incident angle; Indicates the total number of divided time periods; represents the heat loss coefficient; Indicates the radiation amount of each divided time period in the second period; represents the mean temperature difference; represents the water temperature at the end of the first period; Indicates the target water temperature in the second period; Represents the average temperature during the second period (extracted from the weather forecast).

[0120] For example, in general, the cold water temperature is taken as the water temperature at the end of the first period. Generally, it is a temperature that is more comfortable for the human body, for example: 45 to 55 degrees Celsius. If the water temperature at the end of the first period is higher than the cold water temperature, then The actual temperature shall prevail.

[0121] In some embodiments, the second time period can be evenly divided into multiple time periods. .

[0122] In some embodiments, the initial optical efficiency is related to the type of collector used. If the collector is a vacuum tube, then It can be 0.72~0.78; if the collector is a flat plate, then It can be 0.68~0.75.

[0123] In some embodiments,

[0124] in, and represents the IMA coefficient of the collector; It represents the incident angle of sunlight at the current time period, which is determined by the collector inclination and the sun's position (extracted from weather forecast data).

[0125] For example,

[0126] in, Indicates the azimuth of the sun; Indicates the azimuth angle of the collector; represents the solar zenith angle (changing with time); Indicates the collector inclination angle.

[0127] Accordingly, based on the utilization coefficient, the utilization amount of solar heat is determined.

[0128] For more information, please refer to the description of the above examples.

[0129] S43, determining the operation logic constraint, start / stop flag, and operation time limit of each sub-period of the heat pump, wherein: the operation logic constraint of the heat pump refers to whether the heat pump is running in each period within the second period, and the start / stop flag is used to indicate the number of times the heat pump is started.

[0130] The operating time limits within each sub-period are:

[0131] in, Expressed as a complementary margin, for example: 0.05.

[0132] S44, according to the mixed integer linear programming algorithm, using the total cost in the second time period, the second dynamic balance equation, and the operating logic constraints, start and stop flags and operating time limits of each sub-time period of the heat pump, by traversing the feasible solution space, the operating time of the heat pump in each sub-time period is determined, and the sum of the operating time of the heat pump in each time period is used as the second operating time of the heat pump.

[0133] The specific description of step S44 can refer to the above example.

[0134] In this way, since the heat recovered by the air-cooling unit and the solar energy are taken into consideration, the second operation time of the heat pump in the second period can be shortened accordingly, thereby reducing the operation cost.

[0135] It should be pointed out that the reason why the first operating time of the heat pump in the first time period can be determined by the mixed integer linear programming algorithm is that: within the optimization framework, the essential process of determining the first operating time can be understood as: after clearly defining the constraints and objective function, through systematic search, find the optimal solution that meets all conditions.

[0136] Therefore, the above scheme is adopted to achieve the maximum optimization of solar energy and the maximum utilization of air-cooled heat recovery units, and to achieve the maximum economic benefit operation of multi-energy complementary system for hot water production at the lowest electricity price, based on the three conditions of required hot water volume, solar heating capacity and air-cooled heat recovery unit heating capacity.

[0137] In some embodiments, when executing step S14, if it is determined that the solar heating amount meets the hot water usage, the second operating time of the heat pump can be directly set to 0; or, if the sum of the solar heating amount and the recovered heat meets the hot water usage, the second operating time of the heat pump can be directly set to 0.

[0138] This solution also provides a comprehensive energy-combining energy-saving operation device, see Figure 5The schematic diagram of the structure of a comprehensive energy complementary energy-saving operation device in one embodiment of the present invention is shown in FIG. Figure 5 As shown, the comprehensive energy complementary energy-saving operation device 50 may include: The first processing unit 51 is configured to determine a target hot water usage based on the predicted dry-bulb temperature and wet-bulb temperature for tomorrow and the room occupancy rate, and to determine the hourly hot water usage for tomorrow based on the target hot water usage and the peak water usage period and the off-peak water usage period; The second processing unit 52 is used to determine the first operating time of the heat pump in the first time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit, and to minimize the total cost; and to determine the second operating time of the heat pump in the second time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit and the heat corresponding to solar energy, and to minimize the total cost, wherein the total time of the first time period and the second time period is 24 hours.

[0139] For more information about the integrated energy complementary energy-saving operation device 50 , please refer to the description of the integrated energy complementary energy-saving operation method in the aforementioned example.

[0140] Correspondingly, the present invention also provides an integrated energy complementary energy-saving operation system, comprising: a complementary energy-saving operation device as described in any of the foregoing embodiments; a solar collector, a heat pump and an air-cooling unit electrically coupled to the complementary energy-saving operation device respectively.

[0141] Among them, the solar collector can be composed of a collector, a heat collection circulation pump and a heat collection tank. In order to ensure the maximum utilization of solar energy resources, temperature and liquid level measuring elements are set in the heat collection tank, and a reasonable combination of temperature and liquid level measurement values ​​is used for monitoring.

[0142] The air-cooled unit and heat pump heating combination can be composed of an air-cooled heat recovery unit, a plate exchanger, an air source heat pump, a heat recovery circulation pump, a heat pump circulation pump, a transition pump, a water supply pump, a return water pump, a heat collection tank, and a constant temperature water tank.

[0143] Therefore, the energy-saving operation control scheme of the comprehensive energy complementary system provided by the embodiment of the present invention can effectively improve the utilization rate of solar energy resources, and at the same time effectively reduce the frequent start and stop switching of each device of the solar heating module, air-cooled unit heat recovery + air source heat pump system, realize solar energy resource prediction and air conditioning heat recovery, and hot water demand prediction, and ensure the long-term stability and economical operation of the equipment.

[0144] In the present invention, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0145] In addition, in the present invention, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.

[0146] Although the embodiments of the present disclosure are disclosed above, the present invention is not limited thereto. Any person skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope defined by the claims.

Claims

1. A comprehensive energy complementary energy-saving operation method, characterized in that: include: Determine the target hot water usage based on tomorrow's predicted dry-bulb and wet-bulb temperatures, as well as the room occupancy rate; Determine the hourly hot water consumption for the current day based on the target hot water consumption, as well as the peak water consumption period and the off-peak water consumption period; In the first period, the first operating time of the heat pump is determined based on the hourly hot water consumption tomorrow, the water usage duration in each period, and the heat recovered by the air-cooled unit, and in a way that minimizes the total cost; In the second time period, the second operating time of the heat pump is determined based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, the heat recovered by the air-cooled unit and the heat corresponding to the solar energy, and with the total cost minimized. The total time of the first time period and the second time period is 24 hours.

2. The energy-saving operation method according to claim 1, characterized in that: The target hot water consumption is determined based on tomorrow's predicted dry-bulb temperature, wet-bulb temperature, and room occupancy rate, including: determining a perceived temperature according to the dry-bulb temperature and the wet-bulb temperature, wherein the perceived temperature is used to characterize the frequency of hot water use; According to the reference temperature, determine the temperature enhancement coefficient; determining a temperature compensation coefficient according to the temperature enhancement coefficient, the user body temperature, and the reference temperature; Determine the basic water consumption based on the room occupancy rate, the number of rooms, and the basic per capita water consumption; The target hot water consumption is determined according to the temperature compensation coefficient and the basic water consumption.

3. The energy-saving operation method according to claim 1, characterized in that: The target hot water consumption is determined using the following formula: in, Indicates target hot water usage; Indicates the total number of rooms; represents the occupancy rate; represents the dry bulb temperature, represents the first weight coefficient; represents the wet bulb temperature, represents the second weight coefficient, and ; represents the temperature enhancement coefficient; represents the temperature sensitivity index; Indicates the reference temperature; represents the basic per capita water consumption; Indicates the use of body temperature.

4. The energy-saving operation method according to claim 1, characterized in that: Use the following method to determine the amount of hot water to be used by the hour tomorrow: in, t Indicates the moment; Indicates target hot water usage; Indicates the amount of hot water to be used hourly tomorrow; represents the basic period proportional function, which is a constant; Indicates the morning peak intensity coefficient of water use; Indicates the evening peak intensity coefficient of water use; Indicates the morning peak hour. Indicates the duration of the morning rush hour; Indicates the peak hour in the evening. Indicates the duration of the evening peak.

5. The energy-saving operation method according to claim 1, characterized in that: In the first time period, the first operating time of the heat pump is determined based on the hourly hot water consumption tomorrow, the water usage duration in each time period, and the heat recovered by the air-cooled unit, and with the total cost minimized, including: Determining the total cost during the first period based on the electricity price distribution during the first period, the rated heat output power of the heat pump, the operating time of the heat pump during each sub-period, the single startup cost and the number of startups of the heat pump, and the performance coefficient of the heat pump; Determining a first dynamic balance equation based on the heat storage capacity of the water storage container at the end of the current period, the heat storage capacity of the previous period, the heat recovered by the air-cooling unit during the current period, the heat provided by the heat pump during each period, and the hot water usage during the first period; Determining an operation logic constraint and a start / stop flag of the heat pump, wherein the operation logic constraint of the heat pump refers to whether the heat pump is running in each time period within the first time period, and the start / stop flag is used to indicate the number of times the heat pump is started; According to a mixed integer linear programming algorithm, the total cost in the first time period, the first dynamic balance equation, and the operating logic constraints and start-stop flags of the heat pump are used to traverse the feasible solution space to determine the operating time of the heat pump in each sub-time period, and the sum of the operating time of the heat pump in each time period is used as the first operating time of the heat pump.

6. The energy-saving operation method according to claim 5, characterized in that: The total cost during the first period is: ; The first dynamic equilibrium equation is: ; Among them, the first dynamic equilibrium equation also satisfies: ; The operation logic constraints meet: ; The start-stop mark satisfies: ;in, represents the electricity price distribution in the first period; Indicates the duration of the first period; Indicates the rated power of the heat pump; Indicates the operating time of the heat pump in each sub-period; Indicates the coefficient of performance of the heat pump; represents the startup cost coefficient; Indicates the number of starts; Indicates the heat storage capacity of the water storage container at the end of the current period; Indicates the heat storage in the previous period; Indicates the heat recovery amount of the air-cooled unit; Indicates the amount of hot water used in the first period; Indicates the minimum safety thermal margin; Indicates the maximum heat storage capacity of the water storage container; Indicates the start and stop status of the heat pump, running is 1, and stopping is 0; Indicates the minimum operating time of the heat pump.

7. The energy-saving operation method according to claim 1, characterized in that: In the second period, the second operating time of the heat pump is determined based on the hourly hot water consumption tomorrow, the water usage duration in each period, the heat recovered by the air-cooled unit, and the heat corresponding to the solar energy, and with the total cost minimized, including: determining the total cost during the second period based on the electricity price distribution during the second period, the rated heat output power of the heat pump, the operating time of the heat pump during each sub-period, the single startup cost and the number of startups of the heat pump, and the performance coefficient of the heat pump; Determine a second dynamic balance equation based on the amount of heat stored in the water storage container at the end of the first period, the amount of heat recovered by the air-cooled unit during the current period, the amount of heat provided by the heat pump during each period, the amount of hot water used during the second period, and the amount of solar heat used; Determining an operation logic constraint, a start / stop flag, and an operation time limit in each sub-period of the heat pump, wherein: the operation logic constraint of the heat pump refers to whether the heat pump is running in each period of the second period, and the start / stop flag is used to indicate the number of starts of the heat pump; According to a mixed integer linear programming algorithm, the total cost in the second time period, the second dynamic balance equation, the operating logic constraints of the heat pump, the start and stop flags, and the operating time limits in each sub-time period are used to traverse the feasible solution space to determine the operating time of the heat pump in each sub-time period, and the sum of the operating time of the heat pump in each time period is used as the second operating time of the heat pump.

8. The energy-saving operation method according to claim 7, characterized in that: The heat corresponding to solar energy is determined as follows: ； in, Indicates the heat corresponding to solar energy; Indicates the area of ​​the collector; represents the initial optical efficiency; Indicates the time periods within the second period n Correction value of sunlight incident angle; N Indicates the total number of divided time periods; represents the heat loss coefficient; Indicates the radiation amount of each divided time period in the second period; represents the mean temperature difference; represents the water temperature at the end of the first period; Indicates the target water temperature in the second period; Indicates the average temperature during the second period.

9. A comprehensive energy complementary energy-saving operation device, characterized in that: include: The first processing unit is configured to determine a target hot water usage based on the predicted dry-bulb temperature, wet-bulb temperature, and room occupancy rate for tomorrow, and determine the hourly hot water usage for tomorrow based on the target hot water usage and the peak water usage period and the off-peak water usage period; The second processing unit is used to determine the first operating time of the heat pump in the first time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit, and to minimize the total cost; and is used to determine the second operating time of the heat pump in the second time period based on the amount of hot water to be used hourly tomorrow, the water usage time in each time period, and the heat recovered by the air-cooling unit and the heat corresponding to solar energy, and to minimize the total cost, wherein the total time of the first time period and the second time period is 24 hours.

10. A comprehensive energy complementary energy-saving operation system, characterized in that: include: The integrated energy complementary energy-saving operation device according to claim 9; A solar thermal collector, a heat pump and an air cooling unit are electrically coupled to the complementary energy-saving operation device respectively.

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