Intelligent energy-saving control method and device for heat pump water heater, electronic equipment and storage medium

Abstract

The invention discloses an intelligent energy-saving control method and device for a heat pump water heater, electronic equipment and a storage medium, and the method comprises the steps that the required total heating capacity is calculated, associated data corresponding to each unit time period in idle time and rated heating data of a hot water unit at the standard temperature are obtained, and the associated data comprise the predicted temperature and the real-time electricity price; the rated heating data comprises rated heating capacity and rated consumption power, the actual heating capacity and actual consumption power of each unit time period are calculated according to the predicted temperature and the rated heating data, the actual heating capacity represents the heating capacity of the unit time period, and the actual consumption power represents the power consumption capacity of the unit time period; the real-time electricity price represents the electricity economy of the unit time period, the target time period meeting the total heating capacity requirement is screened out according to the actual heating capacity, the actual consumption power and the real-time electricity price with the aim of minimizing the total electricity price during operation of the hot water unit, and therefore electricity consumption can be reduced and the electricity economy can be improved on the basis that the heating requirement is met.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump water heaters, and particularly to an intelligent energy-saving control method, device, electronic device and storage medium for a heat pump water heater. Background Art

[0002] There are usually clear and detailed water usage peaks for household hot water or industrial hot water, etc., and heat pump water heaters are often used to supply hot water. A heat pump water heater has a hot water storage tank. As long as the water temperature in the hot water storage tank reaches the target demand during the water usage peak, there is no need for immediate heating. However, the current situation often directly controls the operation of the unit according to the water temperature in the hot water storage tank. When the water temperature in the hot water storage tank is lower than the target water temperature, the unit will be turned on for operation. After the end of the water usage peak time, the water temperature in the hot water storage tank may be lower than the target water temperature, and the unit will operate. The environmental temperature is relatively low in some time periods. The working efficiency of a heat pump water heater depends on the environmental temperature. When the temperature decreases, the heat that can be extracted from the air decreases, resulting in a decrease in the coefficient of performance (COP). The lower the environmental temperature, the worse the energy efficiency of the water heater may be, which may lead to an increase in electricity consumption. On the other hand, when the temperature of the heat exchanger is lower than the dew point temperature of the ambient air, condensed water or frost will form on the surface of the radiator (especially when the air humidity is high), which will affect the heat exchange efficiency and also the energy efficiency of the water heater. When it is difficult to meet the heating demand of users due to condensed water, frost or lack of heat source, auxiliary electric heating needs to be started, increasing the electricity cost. Generally speaking, if the operation of the hot water unit is controlled only according to the water temperature in the hot water storage tank, there are problems of low energy efficiency and high cost. Summary of the Invention

[0003] The present invention provides an intelligent energy-saving control method for a heat pump water heater to solve the problems of low energy efficiency and high cost of the unit operation when the operation of the hot water unit is controlled only according to the water temperature in the hot water storage tank.

[0004] In a first aspect, the present invention provides an intelligent energy-saving control method for a heat pump water heater, including:

[0005] At the end of a preset water usage peak time, calculate the total heat output of the hot water unit required to heat the water in the hot water storage tank to a preset target water temperature, where the target water temperature is the water temperature required at the time of reaching the water usage peak time;

[0006] Obtain the associated data corresponding to each unit time period within a preset idle time and the rated heat output data of the hot water unit at a standard temperature. The associated data includes predicted temperature and real-time electricity price, and the rated heat output data includes rated heat output and rated power consumption;

[0007] For each unit time period, calculate the actual heat output and actual power consumption of the unit time period according to the corresponding predicted temperature and the rated heat output data;

[0008] With the goal of minimizing the total electricity cost during the operation of the hot water unit, at least one unit time period in which the sum of the heating capacities reaches the total heating capacity is selected according to the actual heating capacity, the actual power consumption, and the real-time electricity price to obtain a target time period;

[0009] Control the hot water unit to operate during the target time period.

[0010] In a second aspect, the present invention provides an intelligent energy-saving control device for a heat pump water heater, including:

[0011] A total heating capacity calculation module, configured to calculate the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to a preset target water temperature at the end of the preset water usage peak time, where the target water temperature is the water temperature required at the time of reaching the water usage peak time;

[0012] A data acquisition module, configured to acquire the associated data corresponding to each unit time period within a preset idle time and the rated heating data of the hot water unit at a standard temperature, where the associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating capacity and the rated power consumption;

[0013] An actual heating data calculation module, configured to calculate the actual heating capacity and the actual power consumption of each unit time period according to the corresponding predicted temperature and the rated heating data;

[0014] A target time period determination module, configured to select at least one unit time period in which the sum of the heating capacities reaches the total heating capacity with the goal of minimizing the total electricity cost during the operation of the hot water unit according to the actual heating capacity, the actual power consumption, and the real-time electricity price to obtain a target time period;

[0015] A hot water unit control module, configured to control the hot water unit to operate during the target time period.

[0016] In a third aspect, the present invention provides an electronic device, where the electronic device includes:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent energy-saving control method for a heat pump water heater according to the first aspect of the present invention.

[0020] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a processor to implement the intelligent energy-saving control method of the heat pump water heater according to the first aspect of the present invention when executed.

[0021] The beneficial effects of the embodiments of the present invention are as follows: calculate the total required heating capacity, obtain the associated data corresponding to each unit time period during the idle time and the rated heating data of the hot water unit at the standard temperature. The associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating capacity and the rated power consumption. Then, calculate the actual heating capacity and the actual power consumption of each unit time period according to the predicted temperature and the rated heating data. The actual heating capacity represents the heating capacity of the unit time period, the actual power consumption represents the power consumption ability of the unit time period, and the real-time electricity price represents the electricity economy of the unit time period. With the goal of minimizing the total electricity cost during the operation of the hot water unit, at least one unit time period whose sum of heating capacities reaches the total heating capacity is selected according to the actual heating capacity, the actual power consumption and the real-time electricity price to obtain the target time period. Thus, power consumption can be reduced and electricity economy can be improved on the basis of meeting the heating demand, which not only improves the operation energy efficiency of the water heater but also reduces the operation cost.

[0022] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 is a flowchart of an intelligent energy-saving control method for a heat pump water heater provided by an embodiment of the present invention;

[0025] Figure 2 is a schematic structural diagram of an intelligent energy-saving control device for a heat pump water heater provided by an embodiment of the present invention;

[0026] Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Detailed Embodiments

[0027] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solution in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0028] Figure 1 FIG. is a flowchart of an intelligent energy-saving control method for a heat pump water heater provided in an embodiment of the present invention. This embodiment is applicable to the situation of intelligent energy-saving control of a heat pump water heater. This method can be executed by an intelligent energy-saving control device for a heat pump water heater. The intelligent energy-saving control device for a heat pump water heater can be implemented in the form of hardware and / or software, and the intelligent energy-saving control device for a heat pump water heater can be configured in an electronic device. As Figure 1 shown, the intelligent energy-saving control method for the heat pump water heater includes:

[0029] S101. At the end of the preset peak water usage time, calculate the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to the preset target water temperature.

[0030] The preset peak water usage time refers to a period of time when the user's hot water usage is relatively large. The user can be a household resident, a hotel, a factory, etc. The peak water usage can be obtained based on the user's historical water usage data, and the peak water usage time may be different for different users. Exemplarily, when the user is a household user, usually the hot water usage is relatively large when the user takes a bath, so the peak water usage time can be set to 19:00 - 22:00.

[0031] Among them, the target water temperature is the water temperature required at the peak water usage time. Exemplarily, assuming the peak water usage time is 19:00 - 22:00, then the water in the hot water storage tank needs to be heated to the target water temperature before 19:00 (latest at 19:00). The target water temperature is set according to actual needs. Exemplarily, for household residents (with a bathing requirement), the target water temperature can be set at 60°C.

[0032] At the end of the preset peak water usage time, calculating the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to the preset target water temperature specifically includes: at the end of the preset peak water usage time, calculate the heat required to heat the water to the preset target water temperature according to the temperature and volume of the water in the hot water storage tank to obtain the target heat; convert the target heat into heating capacity to obtain the total heating capacity of the required hot water unit.

[0033] The unit of the target heat is KJ or J, while the unit of the (total) heating capacity is W (watt). The calculation of the target heat according to the range of water temperature change adopts the formula Q = cm(t2 - t1). In the formula, c represents the specific heat capacity of water, usually set to 4.18×10 3 J / (kg·℃); m represents the mass of water, and the mass of 1 liter of water is approximately 1 kg; (t2 - t1) is the range of water temperature change. For example, if the water temperature rises from 10℃ to 20℃, then (t2 - t1) is 10℃.

[0034] The formula for converting the target heat (unit J) to the heating capacity (unit W) is: 1W·h = 3600J;

[0035] Exemplarily, the water tank capacity is 300L, the water tank temperature is 20℃, the target water temperature is 60℃, and the density of water is 1000kg / m 3 ;

[0036] The target heat can be calculated as 4180 * 0.3m 3 * 1000kg / m 3 *(60℃ - 20℃) = 50160×10 3 J;

[0037] Then the heating capacity = 50160×10 3 J / 3600 = 13933W.

[0038] It should be noted that the hot water storage tank in the present invention can be a closed water tank or an open water tank. The water level in the closed water tank is relatively fixed (the water level is close to or equal to the maximum water level of the hot water storage tank, and specifically, it can be calculated according to the maximum water level), while the open water tank adds cold water when the water level is lower than the preset water level. For the hot water storage tank in the embodiment of the present invention, a water level detector can be installed in the hot water storage tank, and then the specific water level can be detected by the water level detector to calculate the volume of water. In addition, when the hot water storage tank is an open water tank, when the peak water consumption time ends, regardless of whether the water level in the hot water storage tank is lower than the preset water level, the water level of the hot water storage tank can be controlled to reach the set value, which can be close to or equal to the maximum water level of the hot water storage tank (the maximum water level can be used for calculating the water volume), so as to pre-store a sufficient amount of hot water for the convenience of users.

[0039] It should also be noted that during the peak water consumption time, ensuring the water supply for users is the most basic, so the hot water unit is controlled based on the target water temperature during the peak water consumption time.

[0040] S102. Obtain the associated data corresponding to each unit time period within the preset idle time and the rated heating data of the water heater at the standard temperature. The associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating capacity and the rated power consumption.

[0041] The time length of the unit time period can be set according to actual needs. For example, for the convenience of calculation, the time length of the unit time period is usually 1 h. To calculate more precisely the influence of the ambient temperature change on heating, the time length of the unit time period can be set to 0.5 h. The present invention does not limit this.

[0042] On the one hand, the working efficiency of the heat pump water heater depends on the ambient temperature. When the temperature decreases, the heat that can be extracted from the air decreases, resulting in a decrease in the coefficient of performance (COP). The lower the ambient temperature, the worse the energy efficiency of the water heater may be, which may lead to an increase in electricity consumption. When the ambient humidity is relatively high, it is easy for the heat exchanger in the water heater to frost, which will affect the heat exchange efficiency and also the energy efficiency of the water heater. When it is difficult to meet the heating demand of users due to frosting or lack of heat source, the auxiliary electric heating needs to be started, which increases the electricity cost. Therefore, to reduce the electricity cost, the water heater can be controlled in combination with the predicted temperature.

[0043] On the other hand, there are peak electricity prices, valley electricity prices and flat electricity prices for the electricity price. To reduce the electricity cost, it is also necessary to control the water heater in combination with the real-time electricity price.

[0044] Regarding the predicted temperature and the real-time electricity price, the heat pump water heater can be connected to the network to obtain the local predicted temperature and the real-time electricity price through the network. In addition, the heat pump water heater can include a temperature detector and a control center. After detecting the temperature signal, the temperature detector sends it to the control center, and the control center processes it to obtain the predicted temperature of the environment, which can improve the data accuracy of the predicted temperature.

[0045] Regarding the rated heating data, by way of example, the standard temperature is 20 °C, the rated heating capacity of the water heater at 20 °C is 3000 W (unit: watt), and the rated power consumption is 800 W (unit: watt). Here, it should be noted that in the present invention, the units of the heating capacity and the power consumption use the same letter, but watt is the unit representing energy transfer, while watt is the unit identifying power, and the two have different meanings.

[0046] In an alternative embodiment, the associated data further includes the air humidity. When the air humidity is relatively high, it is easier for the heat exchanger to produce condensation and frost. Therefore, the water heater can also be controlled in combination with the air humidity.

[0047] S103. For each unit time period, calculate the actual heating capacity and the actual power consumption of the unit time period according to the predicted temperature and the rated heating data.

[0048] Specifically, it includes: determining the heating coefficient and consumption coefficient of the predicted temperature in each unit time period relative to the standard temperature; for each unit time period, calculating the actual heating capacity of the unit time period according to the rated heating capacity and the heating coefficient corresponding to the predicted temperature; and calculating the actual power consumption of the unit time period according to the rated power consumption and the consumption coefficient corresponding to the predicted temperature.

[0049] In one example, if the ambient temperature is above 30°C, for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 1.5%, and the power consumption increases / decreases by 1%.

[0050] When the ambient temperature is in the range of 20°C - 30°C, for every 1°C increase in the ambient temperature, the heating capacity increases by 2%, and the power consumption increases by 1%.

[0051] When the ambient temperature is in the range of 10°C - 20°C, for every 1°C decrease in the ambient temperature, the heating capacity decreases by 2.5%, and the power consumption decreases by 0.9%.

[0052] When the ambient temperature is in the range of 0°C - 10°C, for every 1°C decrease in the ambient temperature, the heating capacity decreases by 3%, and the power consumption increases / decreases by 0.95%.

[0053] When the ambient temperature is below 0°C, for every 1°C decrease in the ambient temperature, the heating capacity decreases by 2.5%, and the power consumption decreases by 1%.

[0054] It should be noted that the increase or decrease in the ambient temperature is relative to the standard temperature of 20°C.

[0055] Exemplarily, if the predicted temperature is 22°C, then the heating coefficient W Q is (1 + 0.02)^2, and the consumption coefficient W p is (1 + 0.01)^2.

[0056] If the predicted temperature is 17°C, then the heating coefficient W Q is (1 - 0.025)^3, and the consumption coefficient W p is (1 - 0.009)^3.

[0057] The actual heating capacity Qa = W Q Qe, where Qe is the rated heating capacity, and W Q is the heating coefficient;

[0058] The actual power consumption Pa = W p Pe, where Pe is the rated power consumption, and W p is the consumption coefficient.

[0059] S104. With the goal of minimizing the total electricity cost during the operation of the hot water unit, at least one unit time period whose sum of heat production reaches the total heat production is selected according to the actual heat production, actual power consumption, and real-time electricity price to obtain the target time period.

[0060] In an optional embodiment, since the actual heat production of each unit time period is different, multiple combination schemes can be obtained by combining different unit time periods. First, select the combination schemes whose sum of the actual heat production of each unit time period reaches (is greater than or equal to) the total heat production as alternative schemes, and calculate the total electricity cost required for each alternative scheme. Then, take the unit time periods in the alternative scheme with the minimum total electricity cost as the target time period, which can not only meet the total heat production requirement but also minimize the total electricity cost during the operation of the hot water unit.

[0061] In another optional embodiment, with the goal of minimizing the total electricity cost during the operation of the hot water unit, at least one unit time period whose sum of heat production reaches the total heat production is selected according to the actual heat production, actual power consumption, and real-time electricity price to obtain the target time period, including:

[0062] Calculate the heat production per unit amount corresponding to each unit time period according to the actual heat production, actual power consumption, and real-time electricity price; select the first N unit time periods with the largest heat production per unit amount and whose sum of heat production reaches the total heat production to obtain the target time period, where N is a positive integer greater than or equal to 1.

[0063] Among them, the heat production per unit amount is calculated according to the following formula:

[0064] Y i =H i / (P i *y i *T i )

[0065] In the formula, Y i 、H i 、P i 、y i 、T i are the heat production per unit amount, actual heat production, actual power consumption, real-time electricity price, and duration corresponding to the i-th unit time period respectively.

[0066] The larger the heat production per unit amount, the higher the heat production under the same electricity cost, and the lower the electricity cost generated when starting the hot water unit during this unit time period. Therefore, the unit time period with a larger heat production per unit amount is the preferred time period for starting the hot water unit. To meet the total heat production requirement, the first N unit time periods with the largest heat production per unit amount can be selected and the sum of the heat production of these unit time periods can reach the total heat production, which can quickly screen out the target time period that meets the goal of minimizing the total electricity cost during the operation of the hot water unit.

[0067] Specifically, the first N unit time periods with the largest heat production per unit amount of money and the sum of heat production reaching the total heat production are screened out to obtain the target time period, including: sorting the unit time periods in reverse order according to the heat production per unit amount of money; after the sorting is completed, cumulatively calculating the actual heat production of each unit time period from the front to the back to obtain the cumulative heat production; when the cumulative heat production reaches the total heat production, the traversed unit time periods are used as the target time period.

[0068] S105. Control the hot water unit to operate during the target time period.

[0069] After obtaining the target time period, the hot water unit can be controlled to operate during the target time period.

[0070] In the embodiment of the present invention, at the end of the preset water usage peak time, the total heat production of the hot water unit required to heat the water in the heat storage water tank to the preset target water temperature is calculated, the associated data corresponding to each unit time period during the idle time and the rated heat production data of the hot water unit at the standard temperature are obtained, the associated data includes the predicted temperature and the real-time electricity price, the rated heat production data includes the rated heat production and the rated power consumption, and then the actual heat production and the actual power consumption of each unit time period are calculated according to the predicted temperature and the rated heat production data. The actual heat production represents the heat production capacity of the unit time period, the actual power consumption represents the power consumption capacity of the unit time period, and the real-time electricity price represents the electricity usage economy of the unit time period. With the goal of minimizing the total electricity cost during the operation of the hot water unit, at least one unit time period with the sum of heat production reaching the total heat production is screened out according to the actual heat production, the actual power consumption and the real-time electricity price to obtain the target time period, so that the power consumption can be reduced and the electricity usage economy can be improved on the basis of meeting the heat production demand, which not only improves the operation energy efficiency of the water heater but also reduces the operation cost.

[0071] In an optional embodiment, before screening out the first N unit time periods with the largest heat production per unit amount of money and the sum of heat production reaching the total heat production to obtain the target time period, it further includes: obtaining the disabled time of the hot water unit; excluding the unit time periods located within the disabled time.

[0072] The disabled time can be set according to different requirements. For example, for household users, usually the night is the rest time, and the operation of the hot water unit generating noise will affect the user's rest, so 00:00 - 7:00 can be set as the disabled time.

[0073] In an optional embodiment, controlling the hot water unit to operate during the target time period includes: obtaining the end moment of the water usage peak time; taking the target time period near the end moment as the starting point, sorting the target time period clockwise to obtain the operation route; controlling the hot water unit to operate according to the operation route.

[0074] Regarding the operation route, the starting moment of the water usage peak can also be obtained. Taking the target time period adjacent to the starting moment as the end point, the operation route is obtained by sorting the target time period in a clockwise direction. Generally speaking, within the time period between the end moment and the starting moment, the heating process needs to be completed. When the starting moment arrives, the temperature of the water in the hot water storage tank needs to reach the target water temperature to prepare for the high hot water usage demand during the water usage peak time.

[0075] To clearly illustrate the intelligent energy-saving control method of the heat pump water heater of the present invention, an example in the scenario of a household user is now used for illustration:

[0076] The heat pump water heater in this example is matched with a 300L hot water storage tank, the standard ambient temperature is 20°C, and the rated heating data of the hot water unit: the rated heating capacity Q e = 4000w, the rated power consumption P e = 909w.

[0077] The relationship between the heating capacity and the power consumption of the hot water unit at different ambient temperatures is as follows:

[0078] When the ambient temperature is above 30°C, for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 1.5%, and the power consumption increases / decreases by 1%;

[0079] When the ambient temperature is in the range of 20°C - 30°C (excluding the endpoints), for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 2%, and the power consumption increases / decreases by 1%;

[0080] When the ambient temperature is in the range of 10°C - 20°C (excluding the right endpoint), for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 2.5%, and the power consumption increases / decreases by 0.9%;

[0081] When the ambient temperature is in the range of 0°C - 10°C (excluding the endpoints), for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 3%, and the power consumption increases / decreases by 0.95%;

[0082] When the ambient temperature is below 0°C, for every 1°C increase / decrease in the ambient temperature, the heating capacity increases / decreases by 2.5%, and the power consumption increases / decreases by 1%;

[0083] The local real-time electricity price distribution is as follows:

[0084] Valley electricity price: 0.25 yuan / kWh, corresponding time period 0:00 - 8:00;

[0085] Flat electricity price: 0.65 yuan / kWh, corresponding time periods 13:00 - 14:00; 22:00 - 0:00;

[0086] Peak electricity price: 1 yuan per kWh, corresponding time periods: 9:00 - 12:00; 15:00 - 21:00;

[0087] The currently set disabled time for the customer is 0:00 - 7:00;

[0088] The peak water - using time for the user is 19:00 - 22:00, that is, it starts at 19:00 and ends at 22:00. Therefore, it is necessary to analyze the predicted temperature, real - time electricity price, and heating - related data between 22:00 on the current day and 19:00 on the next day.

[0089] First, obtain the local temperature situation. The temperature distribution from 22:00 on the current day to 19:00 on the next day is shown in Table 1.

[0090] Table 1. Predicted Temperature Table for Local Time

[0091] Time Predicted Temperature (°C) Time Predicted Temperature (°C) 22:00-23:00 19 9:00-10:00 16 23:00-24:00 18 10:00-11:00 17 0:00-1:00 17 11:00-12:00 18 1:00-2:00 16 12:00-13:00 20 2:00-3:00 15 13:00-14:00 21 3:00-4:00 14 14:00-15:00 22 4:00-5:00 14 15:00-16:00 24 5:00-6:00 14 16:00-17:00 24 6:00-7:00 14 17:00-18:00 23 7:00-8:00 14 18:00-19:00 22 8:00-9:00 15

[0092] Secondly, through the above - mentioned known data, the actual heat output, actual power consumption, electricity cost, and heat output per unit amount can be calculated for each time period. The specific data is shown in Table 2.

[0093] Table 2. Heating - Related Data for Each Unit Time Period

[0094]

[0095]

[0096] Regarding the electricity cost in Table 2, it is the electricity cost consumed by the hot - water unit during the entire unit time period. The electricity cost is the product of the actual power consumption Pa, the real - time electricity price, and the time length of the unit time period. Calculating the electricity cost can facilitate the calculation of the heat output per unit amount.

[0097] Taking the data in Table 2 for the unit time period 22:00 - 23:00 as an example, the temperature corresponding to this unit time period is 19°C. During the unit time period:

[0098] Heating coefficient W Q is (1 - 0.025)^1 = 0.975;

[0099] Consumption coefficient W p is (1 - 0.001)^1 = 0.991;

[0100] The actual heat output is 4000W * 0.975 = 3900W;

[0101] The actual power consumption is 909W * 0.991 = 900.8W = 0.9008kW;

[0102] The electricity cost is 0.65 yuan / (kW·h) * 0.9008 kW * 1 h = 0.59 yuan;

[0103] The heat per unit amount of money is 3900 W / 0.59 yuan = 6660.6 W / yuan.

[0104] As can be seen from the above table, excluding the disabled time, the most economical unit time periods for operating the hot water unit, sorted from high to low, are: 8:00 - 9:00, 14:00 - 15:00, 13:00 - 14:00, 22:00 - 23:00, 23:00 - 0:00...

[0105] The capacity of the hot water storage tank is 300 L, and the target water temperature is 60 °C. At the end of the peak water usage time (22:00), the measured water tank temperature is 20 °C. The target heat Q can be calculated as Q = 4180 * 0.3 m 3 * 1000 kg / m 3 *(60 °C - 20 °C) = 50160 * 10 3 J; Then the total heating capacity is 50160 * 10 3 J / 3600 = 13933 W.

[0106] Take the sum of the heating capacities of the first 4 unit time periods with the highest heat per unit amount of money for calculation and verification: 4686.6 + 4080 + 3900 + 3524.4 = 16191 > 13933;

[0107] It can be obtained that the optimal operation route of the unit is: 22:00 - 23:00 → 8:00 - 9:00 → 13:00 - 14:00 → 14:00 - 15:00.

[0108] Figure 2 This is a schematic structural diagram of an intelligent energy-saving control device for a heat pump water heater provided by an embodiment of the present invention. As Figure 2 shown, the intelligent energy-saving control device for the heat pump water heater includes:

[0109] A total heating capacity calculation module 201, configured to calculate the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to a preset target water temperature at the end of the preset peak water usage time, where the target water temperature is the water temperature required at the peak water usage time;

[0110] A data acquisition module 202, configured to acquire the associated data corresponding to each unit time period within the preset idle time and the rated heating data of the hot water unit at a standard temperature, where the associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating capacity and the rated power consumption;

[0111] The actual heating data calculation module 203 is configured to calculate the actual heat production and actual power consumption per unit time period for each unit time period according to the corresponding predicted temperature and rated heating data.

[0112] The target time period determination module 204 is configured to, with the goal of minimizing the total electricity cost during the operation of the water heater, screen out at least one unit time period whose sum of heat production reaches the total heat production according to the actual heat production, the actual power consumption, and the real-time electricity price, to obtain the target time period.

[0113] The water heater control module 205 is configured to control the water heater to operate during the target time period.

[0114] Optionally, the total heat production calculation module 201 includes:

[0115] The target heat calculation sub-module is configured to, at the end of the preset peak water usage time, calculate the heat required to heat the water in the hot water storage tank to the preset target water temperature according to the temperature and volume of the water in the hot water storage tank, to obtain the target heat.

[0116] The total heat production calculation sub-module is configured to convert the target heat into heat production, to obtain the total heat production required for the water heater.

[0117] Optionally, the actual heating data calculation module 203 includes:

[0118] The coefficient calculation sub-module is configured to determine the heating coefficient and consumption coefficient of the predicted temperature of each unit time period relative to the standard temperature.

[0119] The actual heat production calculation sub-module is configured to calculate the actual heat production per unit time period according to the rated heat production and the heating coefficient corresponding to the predicted temperature for each unit time period.

[0120] The actual power consumption calculation sub-module is configured to calculate the actual power consumption per unit time period according to the rated power consumption and the consumption coefficient corresponding to the predicted temperature.

[0121] Optionally, the target time period determination module 204 includes:

[0122] The heat production per unit amount calculation sub-module is configured to calculate the heat production per unit amount corresponding to each unit time period according to the actual heat production, the actual power consumption, and the real-time electricity price.

[0123] The target time period determination sub-module is configured to screen out the first N unit time periods with the largest heat production per unit amount and whose sum of heat production reaches the total heat production, to obtain the target time period, where N is a positive integer greater than or equal to 1.

[0124] Optionally, the unit amount of heat is calculated according to the following formula:

[0125] Y i =H i / (P i *y i *T i )

[0126] In the formula, Y i 、H i 、P i 、y i 、T i are the unit amount of heat, the actual heat output, the actual power consumption, the real-time electricity price, and the duration corresponding to the i-th unit time period, respectively.

[0127] Optionally, the target time period determination module 204 further includes:

[0128] A disabled time acquisition sub-module, configured to acquire the disabled time of the water heater;

[0129] A disabled time exclusion sub-module, configured to exclude the unit time periods within the disabled time.

[0130] Optionally, the water heater control module 205 includes:

[0131] An end time determination sub-module, configured to acquire the end time of the water usage peak time;

[0132] An operation route determination sub-module, configured to use the target time period adjacent to the end time as a starting point, and perform a clockwise sorting on the target time period to obtain an operation route;

[0133] The heat pump water heater intelligent energy-saving control device provided by the embodiments of the present invention can execute the heat pump water heater intelligent energy-saving control method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0134] Figure 3 FIG. shows a schematic structural diagram of an electronic device 40 that can be used to implement an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples, and are not intended to limit the implementation of the present invention described herein and / or claimed.

[0135] AsFigure 3 As shown, the electronic device 40 includes at least one processor 41 and a memory communicatively connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 into the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. The input / output (I / O) interface 45 is also connected to the bus 44.

[0136] Multiple components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disc, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0137] The processor 41 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 41 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the intelligent energy-saving control method for a heat pump water heater.

[0138] In some embodiments, the intelligent energy-saving control method for a heat pump water heater can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the intelligent energy-saving control method for a heat pump water heater described above can be executed. Alternatively, in other embodiments, the processor 41 can be configured to execute the intelligent energy-saving control method for a heat pump water heater in any other appropriate manner (for example, by means of firmware).

[0139] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0140] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0141] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0142] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0143] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0144] The computing system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0145] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0146] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent energy-saving control method for a heat pump water heater, characterized in that: include: At the end of the preset peak water consumption time, calculate the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to a preset target water temperature, where the target water temperature is the water temperature required to reach the peak water consumption time; Obtaining the associated data corresponding to each unit time period in the preset idle time and the rated heating data of the water heater at the standard temperature, wherein the associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating amount and the rated power consumption; For each unit time period, calculating the actual heating amount and the actual power consumption of the unit time period according to the corresponding predicted temperature and the rated heating data; With the goal of minimizing the total electricity cost when the water heater is in operation, at least one unit time period in which the sum of the heating amount reaches the total heating amount is selected according to the actual heating amount, the actual power consumption and the real-time electricity price to obtain a target time period; The water heater is controlled to operate during the target time period.

2. The method according to claim 1, characterized in that The calculation of the total heating amount of the hot water unit required to heat the water in the hot water storage tank to the preset target water temperature at the end of the preset water consumption peak time includes: At the end of the preset water consumption peak time, the heat required to heat the water to the preset target water temperature is calculated according to the temperature and volume of the water in the hot water storage tank to obtain the target heat; The target heat is converted into a heating amount to obtain the required total heating amount of the hot water unit.

3. The method according to claim 1, characterized in that The calculating, for each unit time period, the actual heating amount and the actual power consumption of the unit time period according to the corresponding predicted temperature and the rated heating data includes: Determining a heating coefficient and a consumption coefficient of the predicted temperature relative to the standard temperature in each unit time period; For each unit time period, the actual heating capacity per unit time period is calculated according to the rated heating capacity and the heating coefficient corresponding to the predicted temperature; The actual power consumption per unit time period is calculated according to the rated power consumption and the consumption coefficient corresponding to the predicted temperature.

4. The method according to claim 1, characterized in that The goal is to minimize the total electricity cost when the water heater is running, and to select at least one unit time period in which the sum of the heating amount reaches the total heating amount according to the actual heating amount, the actual power consumption and the real-time electricity price, and obtain the target time period, including: Calculate the unit amount of heating capacity corresponding to each unit time period according to the actual heating capacity, the actual power consumption and the real-time electricity price; The first N unit time periods in which the heating amount per unit amount is the largest and the sum of the heating amount reaches the total heating amount are screened out to obtain a target time period, where N is a positive integer greater than or equal to 1.

5. The method according to claim 4, characterized in that The unit amount of heating capacity is calculated according to the following formula: Y i =H i / (P i *y i *T i ) Where Y i , H i , P i ,y i , T i They are the unit amount of heating, actual heating, actual power consumption, real-time electricity price and duration corresponding to the i-th unit time period.

6. The method according to claim 4, characterized in that Before the first N unit time periods with the largest heating amount per unit amount and the sum of the heating amount reaching the total heating amount are screened out to obtain the target time period, the method further includes: Obtaining the disabled time of the hot water unit; The unit time period within the prohibited time is eliminated.

7. The method according to any one of claims 1 to 6, characterized in that: The controlling the water heater to operate in the target time period includes: Obtaining the end time of the peak water consumption time; Taking the target time period adjacent to the end time as the starting point, the target time periods are sorted clockwise to obtain a running route; The water heater is controlled to operate according to the operation route.

8. An intelligent energy-saving control device for a heat pump water heater, characterized in that: include: A total heating calculation module is used to calculate the total heating capacity of the hot water unit required to heat the water in the hot water storage tank to a preset target water temperature at the end of the preset water consumption peak time, wherein the target water temperature is the water temperature required when the water consumption peak time is reached; A data acquisition module, used to acquire the associated data corresponding to each unit time period in the preset idle time and the rated heating data of the water heater at the standard temperature, wherein the associated data includes the predicted temperature and the real-time electricity price, and the rated heating data includes the rated heating amount and the rated power consumption; An actual heating data calculation module is used to calculate the actual heating amount and actual power consumption of each unit time period according to the corresponding predicted temperature and the rated heating data; a target time period determination module, configured to minimize the total electricity cost when the water heater is running, and select at least one unit time period in which the sum of the heating amount reaches the total heating amount according to the actual heating amount, the actual power consumption and the real-time electricity price, so as to obtain a target time period; The hot water unit control module is used to control the hot water unit to operate in the target time period.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent energy-saving control method for the heat pump water heater according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the intelligent energy-saving control method for a heat pump water heater according to any one of claims 1 to 7 when executed.

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