JP6791767B2 - Photovoltaic power generation equipment cooperation hot water storage type hot water supply system and solar power generation equipment cooperation hot water storage type hot water supply equipment - Google Patents

Description

The present invention relates to a photovoltaic power generation device linked hot water storage type hot water supply system and a photovoltaic power generation device linked hot water storage type hot water supply device that perform boiling operation using electric power generated by photovoltaic power generation.

Conventionally, in this type of photovoltaic power generation device linked hot water storage type hot water supply system, as described in Patent Document 1, based on the current information such as temperature and humidity, the power generated by the photovoltaic power generation device is changed to other than the hot water supply device. Some have predicted the temporal fluctuation of the surplus power value after deducting the load power consumption value consumed by the electric load, and determined the time zone in which the boiling operation in the hot water storage type hot water supply device can be executed.

Japanese Unexamined Patent Publication No. 2013-110951

In the above-mentioned prior art, in the hot water storage type hot water supply device, a heat pump type heating means for exchanging heat between the outside air and hot water is provided, and a boiling operation for heating the hot water in the hot water storage tank is performed via a circulation circuit. At this time, it is known that the energy consumption efficiency (COP) of the heat pump type heating means fluctuates according to the outside air temperature. Therefore, even if a time zone in which the boiling operation can be performed is found by the above prediction, if the outside air temperature in that time zone is relatively low, the energy consumption efficiency during the boiling operation becomes low. There was a problem that it would end up.

In order to solve the above problems, claim 1 of the present invention includes a solar power generation device, a hot water storage tank for storing hot water, a heat pump type heating means for exchanging heat between the outside air and the hot water, and a heating circulation circuit. In a solar power generation device-linked hot water storage type hot water supply system having a hot water storage type hot water supply device in which the heat pump type heating means heats hot water in the hot water storage tank via the heating circulation circuit, the weather in a specific period Meteorological information acquisition means for acquiring information, temperature prediction means for determining a temperature prediction value that fluctuates over time in the specific period corresponding to the weather information, the weather information acquired by the weather information acquisition means, and Based on the temperature prediction value determined by the temperature prediction means, a specific time division in which the hot water storage type hot water supply device should perform the boiling operation is determined by the electric power from the solar power generation device in the specific period. The time division determination means, the predicted value of the generated power of the solar power generation device in the specific period based on the weather information acquired by the weather information acquisition means, and the electric load excluding the hot water storage type hot water supply device in the specific period. The surplus power prediction means for determining the time-varying surplus power predicted value in the specific period and the device power consumption prediction consumed by the hot water storage type hot water supply device in the specific period using the load power consumption predicted value consumed by The device power consumption predicting means for determining a value, and the time division determining means, in at least one time zone in which the surplus power predicted value is equal to or greater than the device power consumption predicted value in the specific period. The specific value in which the length of time during which the hot water storage type hot water supply device can continuously perform the boiling operation is equal to or greater than a predetermined value, and the average value of the temperature prediction values determined by the temperature prediction means is the highest. It determines the time division of .

Further, in claim 2 , the power generation power prediction means for determining the power generation power prediction value that fluctuates with time in the specific period based on the weather information acquired by the weather information acquisition means, and the load consumption in the specific period. It further has a load power consumption prediction means for determining a power prediction value, and the surplus power prediction means is determined by the power generation prediction value determined by the power generation prediction means and the load power consumption prediction means. The surplus power prediction value is determined by using the load power consumption prediction value, and the time division determination means includes a time zone determination means for determining at least one time zone in the specific period, and the time zone determination means. The specific time division is determined from the at least one time zone determined by the band determining means.

Further, in claim 3 , the hot water storage type hot water supply device is provided in a specific power consumption facility, and the load power consumption prediction means determines the load power consumption prediction value of the power consumption facility in the specific period. Then, the surplus power prediction means consumes the generated power predicted value determined by the generated power predicting means and the load consumption of the electric load of the power consuming facility determined by the load power consumption predicting means. The surplus power predicted value of the power consuming facility is determined by using the power predicted value.

Further, in claim 4 , the weather information acquisition means acquires the weather information of the next day as the specific period, and the temperature prediction means determines the temperature prediction value in the next day as the specific period. , The time division determining means determines the specific time division in the next day as the specific period.

Further, in claim 5 , the hot water storage tank for storing hot water, a heat pump type heating means for exchanging heat between the outside air and the hot water, and a heating circulation circuit are provided, and the heating circulation circuit is provided in cooperation with a solar power generation device. In a solar power generation device linked hot water storage type hot water supply device that performs a boiling operation in which the heat pump type heating means heats hot water in the hot water storage tank, the weather information in a specific period and the weather information are supported in the specific period. Based on the time-varying temperature prediction value, there is a time division determining means for determining a specific time division in which the hot water storage type hot water supply device should perform the boiling operation by the electric power from the solar power generation device in the specific period. Then, in the specific period, the time division determining means consumes the power generation predicted value of the solar power generation device in the specific period based on the weather information and the electric load excluding the hot water storage type hot water supply device in the specific period. At least one time zone in which the surplus power predicted value that fluctuates over time in the specific period determined by using the load power consumption predicted value is equal to or greater than the device power consumption predicted value consumed by the hot water storage type hot water supply device in the specific period. Among them, the specific time division is determined in which the length of time during which the hot water storage type hot water supply device can continuously perform the boiling operation is equal to or longer than a predetermined value and the average value of the temperature prediction values is the highest. To do.

According to claim 1 of the present invention, a photovoltaic power generation device and a hot water storage type hot water supply device are provided. When the sunshine conditions are good, the photovoltaic power generation device can receive sunlight to generate electricity, and the hot water storage type hot water supply device uses the electric power generated by this photovoltaic power generation device to provide a heat pump type heating means. A boiling operation for heating the hot water in the hot water storage tank can be performed via a heating circulation circuit.

When the boiling operation is performed using the electric power generated by solar power generation in this way, at least the generated electric power value is large to some extent (specifically, the electric power value supplied to the hot water storage type hot water supply device, for example, the hot water storage type from the generated electric power value. The surplus power value after deducting the load power consumption value consumed by the electric load excluding the hot water supply device is large to some extent). Therefore, in order to smoothly perform the boiling operation, according to claim 1, a weather information acquisition means is provided. The weather information acquisition means acquires weather information (weather forecast information, sunshine duration information, etc.) in a specific period in the future (for example, one day of the next day). Since the weather information in the specific period reveals the temporal fluctuation of the sunshine condition in the specific period, it is possible to predict the temporal fluctuation of the generated power value in the photovoltaic power generation device correspondingly. As a result, when the generated power value fluctuates with time in the specific period, the time zone (specifically, the surplus power value is the hot water storage type hot water supply device) that becomes the generated power value at which the boiling operation can be executed. It is possible to predict the time zone in which the power consumption value of the device consumed by the above is equal to or higher than the power consumption value of the device.

By the way, it is known that the energy consumption efficiency (hereinafter, appropriately referred to as "COP") of the heat pump type heating means for exchanging heat between the outside air and hot water varies depending on the outside air temperature. Therefore, even if a boiling time zone is found by the above prediction, if the outside air temperature fluctuates with time in the boiling time zone, during the boiling operation of the heat pump type heating means in the time zone. There are times when the COP is relatively high, and there are times when the COP is relatively low.

Therefore, according to claim 1, a temperature prediction means and a time division determination means are provided. The temperature prediction means determines a temperature prediction value corresponding to the weather information, which fluctuates with time in the specific period. Then, the time division determining means is derived from the photovoltaic power generation device in the specific period based on the weather information acquired by the weather information acquiring means and the temperature predicted value determined by the temperature predicting means. The specific time division (hereinafter, appropriately referred to as “boiling time division”) in which the boiling operation should be performed is determined by the electric power of. As a result, in the boiling time zone found by the prediction, the time division in which the COP becomes relatively high during the boiling operation (specifically, the outside air temperature becomes relatively high) is defined as the boiling time division. Can be decided. As a result, the boiling operation using the electric power generated by the photovoltaic power generation can be executed with high energy consumption efficiency.

Further, according to claim 1 , the surplus power prediction means determines the power generation prediction value of the photovoltaic power generation device based on the weather information and the load power consumption prediction value consumed by the electric load (excluding the hot water storage type hot water supply device). To determine the predicted value of surplus power in the specific period. On the other hand, the device power consumption prediction means determines the device power consumption prediction value consumed by the hot water storage type hot water supply device in the specific period. Then, the time division determining means finds at least one time zone in which the surplus power predicted value is equal to or higher than the device power consumption predicted value in the specific period, and further, in that time zone, the boiling operation is performed. The time division in which the length of time that can be performed becomes a predetermined value (for example, 2 to 3 hours) or more and the average value of the predicted temperature values is the highest is defined as the boiling time division.

As a result, the time division determining means can find the time division having the highest COP for a certain long time continuously, so that the boiling operation can be surely executed with high energy consumption efficiency.

Further, according to claim 2 , the surplus power prediction means accurately determines the surplus by using the power generation power prediction value determined by the power generation power prediction means and the load power consumption prediction value determined by the load power consumption prediction means. The predicted power value can be determined. Then, using the determined surplus power predicted value, at least one time zone in which the surplus power predicted value is equal to or higher than the device power consumption predicted value can be determined with high accuracy by the time zone determining means.

Further, according to claim 3 , the hot water storage type hot water supply device provided in the power consumption facility composed of a specific building or the like is found for the hot water storage time zone, and the hot water storage time zone is further found during the boiling operation. It is possible to determine the boiling time division in which the COP of the water heater is relatively high. As a result, the boiling operation of the hot water storage type hot water supply device of the power consumption facility using the electric power generated by the photovoltaic power generation device can be executed with high energy consumption efficiency.

Further, according to claim 4 , the hot water storage type hot water supply device's hot water storage type hot water supply device's COP is compared during the boiling operation during the hot water storage type hot water supply device. It is possible to determine the boiling time division to be higher. As a result, the next day's hot water storage type hot water supply device can be boiled with high energy consumption efficiency by using the power generated by the photovoltaic power generation device by using the weather information and the temperature prediction value of the next day.

System configuration diagram of the hot water storage type hot water supply system linked with the photovoltaic power generation device according to the embodiment of the present invention Functional block diagram of HEMS equipment and control unit Graph diagram conceptually showing the temporal behavior of the predicted value of the amount of power generated by photovoltaic power generation and the predicted value of the amount of power consumption in the electric load equipment when the weather on the next day is predicted to be fine Graph diagram conceptually showing the temporal behavior of the predicted value of the amount of power generated by photovoltaic power generation and the predicted value of the amount of power consumption in the electric load equipment when the weather on the next day is predicted to be rainy or cloudy. Graph diagram showing the change behavior of energy consumption efficiency in a heat pump device depending on the outside air temperature Conceptual behavior of predicted value of surplus electric energy and predicted value of outside air temperature for explaining an example of a method in which the surplus boiling time classification determination unit determines the boiling time classification from the available boiling time zones Graph diagram shown in The temporal behavior of the predicted value of surplus electric energy and the predicted value of the outside air temperature for explaining another example of the method in which the surplus boiling time classification determination unit determines the boiling time classification from the available boiling time zones. Graphical representation conceptually Flow chart showing the control procedure executed by the HEMS device Flow chart showing the first half of the control procedure performed by the control unit Flow chart showing the detailed procedure of step S15 Flow chart showing the detailed procedure of step S20 Flow chart showing the second half of the control procedure performed by the control unit

Next, an embodiment of the present invention will be described with reference to FIGS. 1 to 12.

FIG. 1 shows the system configuration of the hot water storage type hot water supply system linked with the photovoltaic power generation device of the present embodiment. In addition, in FIG. 1, in order to prevent the complexity of the illustration, a part of the signal transmission / reception described later is omitted. In FIG. 1, the photovoltaic power generation device linked hot water storage type hot water supply system 100 of the present embodiment includes a heat pump type hot water storage type hot water supply device 1 installed in a building (corresponding to a specific power consumption facility) such as a house (not shown). A sun equipped with a distribution board 2 connected to a commercial power supply 49, a photovoltaic power generation panel 4 installed on the roof of the house, and an inverter 5 for converting the power generated by the photovoltaic power generation panel 4 into an AC power supply. An electric load device 6 (indicated simply as "inverter" in FIG. 1) constituting a photovoltaic power generation device 3 and a load other than the hot water storage type hot water supply device 1, for example, an air conditioner, and the inside of the house. It has a HEMS (= Home Energy Management System) device 7 for performing power management, a network communication network 8, and a server 9.

The HEMS device 7 is connected to the hot water storage type hot water supply device 1 and the solar power generation device 3 in both directions (see the broken line; the same applies hereinafter). As a result, the HEMS device 7 can collect the usage status of the hot water storage type hot water supply device 1, the power generation information of the photovoltaic power generation device 3, and the power consumption information of each branch circuit of the distribution board 2. Further, the HEMS device 7 is further connected to the server device 9 via the network communication network 8 so that necessary information can be exchanged with each other. Instead of the HEMS device 7 collecting the generated power information by communication with the photovoltaic power generation device 3, the HEMS device 7 inputs the generated power to the distribution board 2 or commercializes the distribution board 3 with the distribution board 3. By monitoring the transfer of electric power to and from the power source 49, the generated electric power information of the photovoltaic power generation device 3 may be collected.

The hot water storage type hot water supply device 1 includes a remote control device 50 (corresponding to a remote control means), a hot water storage tank 10 for storing hot water, a water supply pipe 11 for supplying water to the bottom of the hot water storage tank 10, and a top of the hot water storage tank 10. The hot water supply pipe 12 for hot water supply, the water supply bypass pipe 13 branched from the water supply pipe 11, the hot water from the hot water supply pipe 12 and the water from the water supply bypass pipe 13 are brought to the hot water supply set temperature set by the remote control device 50. A mixing valve 14 for mixing so as to be, a hot water supply pipe 15 for supplying hot water to a hot water supply terminal (not shown), a hot water supply flow rate sensor 16 for detecting the hot water supply flow rate and outputting a corresponding detection signal, and a hot water supply flow rate sensor 16 for detecting the hot water supply temperature and corresponding detection signals. It has a hot water supply temperature sensor 17 that outputs hot water, and a hot water storage temperature sensor 18 that detects the hot water storage temperature of hot water in the hot water storage tank 10 and outputs a corresponding detection signal. A plurality of the hot water storage temperature sensors 18 are provided on the side surface of the hot water storage tank 10 at different height positions. When each of the plurality of hot water storage temperature sensors 18 detects, for example, a hot water temperature equal to or higher than a predetermined threshold value set in advance corresponding to the temperature of the hot water in a sufficiently heated state, the corresponding detection signal Is configured to be output to the control device 31. As a result, the control device 31 is in a sufficiently heated state in the hot water storage tank 10 based on how many of the plurality of hot water storage temperature sensors 18 output the detection signal. The amount of hot water (that is, the amount of hot water stored) can be detected.

Further, the hot water storage type hot water supply device 1 further has a heat pump device 19 (corresponding to a heat pump type heating means) for heating the hot water in the hot water storage tank 10 to a boiling target temperature. The heat pump device 19 includes a compressor 20 that compresses and conveys the refrigerant to a high temperature and a high pressure, a water refrigerant heat exchanger 21 that exchanges heat between the high temperature and high pressure refrigerant and water from the hot water storage tank 10, and the water refrigerant. An expansion valve 22 that decompresses and expands the refrigerant after heat exchange in the heat exchanger 21, an air heat exchanger 23 that exchanges heat between the outside air and the low-pressure refrigerant to evaporate the low-pressure refrigerant, and the air heat exchanger 23 with the outside air. The blower 24 that blows air, the discharge temperature sensor 25 that detects the temperature of the refrigerant discharged from the compressor 20 and outputs the corresponding detection signal to the control device 31, and the discharge temperature sensor 25 that detects the outside air temperature and outputs the corresponding detection signal. It includes an outside air temperature sensor 30 that outputs to the control device 31.

Further, the hot water storage type hot water supply device 1 further connects the control device 31 that controls the operation of the entire hot water storage type hot water supply device 1 to the lower portion of the hot water storage tank 10 and the water side inlet of the water refrigerant heat exchanger 21. A heating return pipe 27 connecting the water side outlet of the water refrigerant heat exchanger 21 and the upper part of the hot water storage tank 10, a heating circulation pump 28 provided in the middle of the heating going pipe 26, and a heating circulation pump 28. It has a boiling temperature sensor 29 provided in the heating return pipe 27 and outputting a detection signal to the control device 31. The heating circulation circuit is composed of the heating going pipe 26, the heating return pipe 27, and the heating circulation pump 28 (hereinafter, as appropriate, simply referred to as “heating circulation circuits 26, 27, 28”).

As described above, the photovoltaic power generation device linked hot water storage type hot water supply system 100 of the present embodiment includes the photovoltaic power generation device 3 and the hot water storage type hot water supply device 1. When the sunshine conditions are good, the photovoltaic power generation device 3 can receive sunlight from the photovoltaic power generation panel 4 to generate electricity, and the hot water storage type hot water supply device 1 can be generated by the photovoltaic power generation device 3. Using the generated power, the heat pump device 19 can perform a boiling operation for heating the hot water in the hot water storage tank 10 via the heating circulation circuits 26, 27, 28. When the boiling operation is performed using the electric power generated by solar power generation in this way, at least the generated electric power value is large to some extent (specifically, the electric power value supplied to the hot water storage type hot water supply device 1, that is, the generated electric power value is used to store hot water. It is necessary that the surplus power value obtained by subtracting the load power consumption value consumed by the electric load device 6 excluding the type hot water supply device 1 is large to some extent (described later). Therefore, in order to smoothly perform the boiling operation, the photovoltaic power generation device linked hot water storage type hot water supply system 100 is provided with the functional units shown in FIG. 2 in the HEMS device 7 and the control device 31.

That is, as shown in FIG. 2, the HEMS device 7 includes a weather information acquisition unit 32A, a generated power prediction unit 32B, a load power consumption prediction unit 32C, a device power consumption prediction unit 32D, and a surplus power prediction unit. 32E is provided. Further, the control device 31 includes a surplus boiling time zone setting unit 33A, a surplus boiling time classification determination unit 33B, a surplus boiling control unit 40, a surplus boiling capacity calculation unit 37, and a hot water amount learning unit 34. A required heat amount determining unit 35, a night boiling capacity calculation unit 36, a corrected night boiling capacity calculation unit 38, a night boiling control unit 39, and a daytime boiling increase control unit 42 are provided. The outside air temperature prediction unit 32F will be described later. Further, the allocation (allocation) of each of these functional units in the HEMS device 7 and the control device 31 is not limited to the illustrated example, and for example, by enhancing the communication content between the HEMS device 7 and the control device 31. A part of the functions of the above-mentioned functional units 32A to 32E provided in the HEMS device 7 may be provided in the control device 31, or conversely, each of the above-mentioned functions provided in the control device 31. The HEMS device 7 may be provided with a part of the functions of the parts 33A, 33B, 34 to 42.

The weather information acquisition unit 32A (corresponding to the weather information acquisition means) acquires, for example, weather information (for example, weather forecast information, sunshine duration information, etc.) emitted from the server 9. Note that weather information as publicly known information may be acquired from an appropriate location other than the server 9.

The generated power prediction unit 32B (corresponding to the generated power prediction means) acquires the amount of generated power for each unit time that has fluctuated over time in the past predetermined period, which has been acquired from the photovoltaic power generation device 3, and the weather information acquisition unit 32A. Based on the obtained weather information, a specific period to be determined (in this example, for example, one day following the desired day when the control procedure according to the flow shown in FIGS. 8 to 12 described later is executed. The predicted value of the generated power for each unit time in the generated power behavior of the photovoltaic power generation device 3 that fluctuates with time on the “next day”) is determined (calculated).

The load power consumption prediction unit 32C (corresponding to the load power consumption prediction means) consumes the electric load device 6 such as an air conditioner in the building for each unit time in the past predetermined period, which has been acquired from the distribution board 2. Based on the amount of electric power, the predicted value (including the case where the time fluctuates and the case where it does not fluctuate with time) representing the power consumption of the electric load device 6 for each unit time on the next day is determined (calculated).

The device power consumption prediction unit 32D (corresponding to the device power consumption prediction means) is based on the power consumption of the hot water storage type hot water supply device 1 for each unit time in the past predetermined period, which has been acquired from the hot water storage type hot water supply device 1. The predicted value (including whether or not the time fluctuates) of the power consumption of the hot water storage type hot water supply device 1 representing the power consumption of the hot water storage type hot water supply device 1 on the next day is determined (calculated).

The surplus power prediction unit 32E (corresponding to the surplus power prediction means) has the generated power predicted value determined by the generated power prediction unit 32B and the load used power predicted value determined by the load used power prediction unit 32C. Based on (specifically, the load power consumption prediction value is subtracted from the power generation power prediction value), the surplus power prediction value for each unit time in the building in the time-varying surplus power behavior on the next day is determined. (calculate.

The surplus boiling time zone setting unit 33A (corresponding to the time zone determination means) is the surplus power prediction value for each unit time of the next day determined by the surplus power prediction unit 32E, and the device power consumption prediction unit 32D. One or more (in other words, at least one) time zone (in other words, at least one) in which the surplus power predicted value is equal to or greater than the device power consumption predicted value based on the determined device power consumption predicted value for each unit time of the next day. Determine the boiling time zone).

A specific example of determining the at least one boiling time zone will be described with reference to FIG. In FIG. 3, the horizontal axis is the time axis such as "0:00", "1:00", ..., "23:00", "24:00", and the vertical axis is the electric energy [ KWh] is taken, and the predicted value of the amount of power generated by the solar power generation device 3 (predicted by the power generation prediction unit 32B) and the predicted value of the load power used by the electric load device 6 (load power prediction unit) on the next day. It is a graph conceptually showing an example of the device power consumption prediction value (predicted by the device power consumption prediction unit 32D) in the hot water storage type hot water supply device 1 (predicted by 32C).

As shown in FIG. 3, this example is an example in which the weather on the next day is predicted to be fine based on the weather information acquired by the weather information acquisition unit 32A. That is, as shown in the broken line graph by the solid line in the figure, the predicted value of the amount of power generated by the solar power generation device 3 changes at almost 0 [kWh] from 0:00 to 6:00, but at sunrise (6: 6: It gradually rises with (between 00 and 7:00), 0.2 [kWh] at 7:00, 1.0 [kWh] at 8:00, 1.5 [kWh] at 8:30, and then. After 1.8 [kWh] at 9:00, 2.5 [kWh] at 10:00, 3.2 [kWh] at 11:00, and peak at 3.3 [kWh] at 12:00. .. After that, the amount of power generated by the photovoltaic power generation device 3 gradually decreases with the shade of the sun, reaching 3.2 [kWh] at 13:00, 2.5 [kWh] at 14:00, and then 15:00. 1.8 [kWh] at 15:30, 1.5 [kWh] at 15:30, 1.0 [kWh] at 16:00, 0.2 [kWh] at 17:00, and then sunset (17:00 to 17:00). After 18:00, it will be almost 0 [kWh] until 24:00.

On the other hand, as shown by the gray bar graph in the figure, the predicted value of the load power consumption in the electric load device 6 is 0.5 [kWh] throughout the day between 0:00 and 24:00 on the next day. ing. As a result, as shown in FIG. 3, the predicted value of the surplus power represented by "the amount of power generated by the solar power generation device 3"-"the amount of power used by the load in the electric load device 6" is 8: the next day. 0.5 [kWh] occurs for the first time at 00, 1.0 [kWh] at 8:30, 1.3 [kWh] at 9:00, 2.0 [kWh] at 10:00, and 11:00. After 2.7 [kWh], it reaches its maximum at 2.8 [kWh] at 12:00. After that, it gradually decreased, 2.7 [kWh] at 13:00, 2.0 [kWh] at 14:00, 1.3 [kWh] at 15:00, and 1.0 [kWh] at 15:30. , It becomes 0.5 [kWh] at 16:00.

In response to the time fluctuation of the surplus power as described above, in this example, the predicted value of the power used by the hot water storage type hot water supply device 1 when the hot water storage type hot water supply device 1 is operated is 1 [kWh] per unit time. As a result, the surplus boiling time zone setting unit 33A has a time zone in which the hot water storage type hot water supply device 1 can be operated by the surplus power so that "surplus power" ≥ "power used by the device of the hot water storage type hot water supply device 1" A time zone from 8:30 to 15:30 is set as the boiling time zone). In addition, in FIG. 3, as an example, the case where the boiling operation of the hot water storage type hot water supply device 1 is actually scheduled to be executed from 11:00 to 15:00 in the boiling possible time zone is averaged. Illustrated below (see black bar graph).

As described above, in the present embodiment, the generated power prediction unit 32B determines the generated power value in the photovoltaic power generation device 3 in response to the weather information acquired by the weather information acquisition unit 32A for the next day. Based on this, the surplus boiling time zone setting unit 33A can predict the boiling possible time zone, which is the generated power value at which the boiling operation can be executed.

The example shown in FIG. 3 is an example in which the weather on the next day is predicted to be fine as described above. On the other hand, for example, FIG. 4 shows an example in which the weather on the next day is predicted to be rainy or cloudy (there is almost no solar radiation by the sun) based on the weather information acquired by the weather information acquisition unit 32A. In this case, as shown by the solid line graph in the figure, the predicted value of the amount of power generated by the photovoltaic power generation device 3 changes at almost 0 [kWh] from 0:00 to 8:00, and accompanies the sunrise. Although it rises slightly, it is 0.1 [kWh] at 9:00, 0.3 [kWh] at 10:00, 0.5 [kWh] at 11:00, and 0.6 [kWh] at 12:00. Even at the peak at 13:00 after passing through, it remains at about 0.7 [kWh]. After that, the amount of power generated by the photovoltaic power generation device 3 is 0.6 [kWh] at 14:00, 0.5 [kWh] at 15:00, 0.3 [kWh] at 16:00, and 17:00. It becomes 0.1 [kWh], and after 18:00, it becomes almost 0 [kWh] until 24:00. As a result, as shown in FIG. 4, the predicted value of the surplus power represented by "the amount of power generated by the photovoltaic power generation device 3"-"the amount of power used by the load in the electric load device 6" is 12: the next day. It occurs only slightly between 00 and 14:00, and its maximum value remains at about 0.2 [kWh]. In such a case, the surplus boiling time zone setting unit 33A cannot set the boiling possible time zone in which "surplus power" ≥ "power used by the hot water storage type hot water supply device 1". As a result, as shown in FIG. 4, in the boiling operation of the hot water storage type hot water supply device 1, the unit price of electric power is low as usual due to the power supply from the commercial power source 49 (without using the electric power generated by solar power generation). It is scheduled to be executed at nighttime (in this example, from 23:00 to 7:00) (details will be described later).

By the way, a heat pump type heating means for exchanging heat between the outside air and hot water, such as the heat pump device 19 of the hot water storage type hot water supply device 1 described with reference to FIG. 1, generally has energy consumption efficiency (hereinafter, appropriately) according to the outside air temperature. , "COP") is known to fluctuate. FIG. 5 shows the results of examination of the COP in the heat pump device 19 of the hot water storage type hot water supply device 1 by the inventors of the present application.

As shown in FIG. 5, the COP in the heat pump device 19 is about 3.4 when the outside air temperature is −10 [° C.], and then rises linearly with the temperature rise.
About 3.8 at outside air temperature 0 [° C], about 4.3 at outside air temperature 10 [° C], about 4.7 at outside air temperature 20 [° C], about 5.2 at outside air temperature 30 [° C], outside air temperature It is about 5.6 at 40 [° C.].

As described above, since the COP of the heat pump device 19 has a considerably different value depending on the outside air temperature, even if the surplus power prediction unit 32E can determine the boiling possible time zone by the prediction method as described above, the boiling time is possible. When the outside air temperature fluctuates with time in the zone, there is a time zone in which the COP is relatively high during the boiling operation of the heat pump device 19 and a time zone in which the COP is relatively low.

Therefore, according to the present embodiment, as shown in FIG. 2, an outside air temperature prediction unit 32F and a surplus boiling time division determination unit 33B are provided. The outside temperature prediction unit 32F (corresponding to the temperature prediction means) obtains the temperature prediction value (see FIGS. 6 and 7 described later) that fluctuates with time on the next day based on the weather information acquired by the weather information acquisition unit 32A. decide. Instead of the outside temperature prediction unit 32F acquiring the weather information from the weather information acquisition unit 32A and determining the temperature prediction value, the temperature prediction value generated in response to the weather information outside the system is used. The outside air temperature prediction unit 32F may acquire and determine the temperature.

Then, the surplus boiling time division determination unit 33B (corresponding to the time division determination means) is set in that time zone from among the at least one possible boiling time zone determined by the excess boiling time zone setting unit 33A. On the next day, the time division in which the length of time during which the boiling operation can be performed is equal to or greater than a predetermined value (for example, 3 hours) and the average value of the temperature prediction values determined by the outside air temperature prediction unit 32F is the highest is set. The hot water storage type hot water supply device 1 is determined as a boiling time division (corresponding to a specific time division) in which the boiling operation should be performed by the electric power from the photovoltaic power generation device 3.

Specific examples of such determination of the time division will be described with reference to FIGS. 6 and 7. In these figures, as in FIG. 3 and the like, the horizontal axis is the time axis in which the time is engraved as "5:00", "6:00", ..., "18:00", "24:00". On the vertical axis, the excess electric energy [kWh] (shown on the left side of each figure) and the outside air temperature [° C.] (shown on the right side of each figure) are taken, and the outside air temperature (generated power prediction unit 32B) is used. Examples of time fluctuations of the predicted value of (prediction) and the predicted value of the surplus electric energy (predicted by the surplus power prediction unit 32E) in the hot water storage type hot water supply device 1 are shown.

First, in the example shown in FIG. 6, it is predicted that the fine weather will continue evenly from morning to evening on the next day based on the weather information acquired by the weather information acquisition unit 32A (the example shown in FIG. 3 is different from the example shown in FIG. 3). Another different example). In this case, as shown by the bar graph in the figure, the predicted value of the surplus electric energy based on the electric energy generated by the solar power generation device 3 changes from 5:00 to 7:00 at 0 [kWh], but thereafter. It gradually increased to 0.5 [kWh] at 8:00, 1.5 [kWh] around 8:30, and then 2.0 [kWh] at 9:00 and 10:00, 11: After 2.5 [kWh] at 00, it peaks at 3.0 [kWh] at 12:00. After that, the surplus electric energy became 2.0 [kWh] at 13:00, 2.5 [kWh] at 14:00 and 15:00, and 1.5 [kWh] near 15:30. It decreases to 1.0 [kWh] at 16:00 and 0.5 [kWh] at 17:00, and becomes almost 0 [kWh] after 18:00.

At this time, as shown by the thick horizontal line in the figure, the predicted value of the electric power used when the hot water storage type hot water supply device 1 is operated is 1.5 [kWh] per unit time. As a result, the surplus boiling time zone setting unit 33A sets the boiling possible time zone from 8:30 to 15:30 when the predicted value of the surplus power exceeds the predicted value of the device power. The outside air temperature between 8:30 and 15:30 is, for example, 17 [° C.] at 8:30 and 9:00, 18 [° C.] at 10:00, and 19 [° C.] at 11:00. After reaching 20 [° C.] at 12:00, it reaches 21 [° C.] at 13:00 and 14:00, and peaks in this vicinity. After that, the outside air temperature decreases to 20 [° C.] at 15:00 and 15:30. As a result, the excess boiling time classification determination unit 33B sets a predetermined value (3 hours in this example) for the time during which the boiling operation can be performed from the available boiling time zones of 8:30 to 15:30. 12:30 to 15:30, which is the time division in which the average value of the temperature prediction values is the highest, is determined as the boiling time division in which the boiling operation should be performed. As a result, the average value of the outside air temperature in this boiling time division (12:30 to 15:30) becomes about 20.5 [° C.], and the outside air in the entire boiling time zone (8:30 to 15:30). The temperature becomes higher than the average value of about 18.5 [° C.].

Further, the example shown in FIG. 7 is an example in which the weather information acquired by the weather information acquisition unit 32A predicts that the weather will be fine from morning to evening (however, a shower temporarily at around 12:00) on the next day. Is. In this case, as shown by the bar graph in the figure, the predicted value of the surplus electric energy based on the electric energy generated by the solar power generation device 3 changes from 5:00 to 7:00 at 0 [kWh], but thereafter. It gradually increased to 0.5 [kWh] at 8:00, 1.5 [kWh] around 8:30, and then 2.0 [kWh] at 9:00 and 10:00, 11: After rising to 2.5 [kWh] at 00, it started to decrease (for example, due to the influence of the weather change on the rain), 1.5 [kWh] at 11:30, and 1.0 [kWh] at 12:00. Become. After that, the amount of surplus electricity started to increase again, reaching 1.5 [kWh] at 12:30, 2.0 [kWh] at 13:00, and 2.5 [kWh] at 14:00 and 15:00. Later, after reaching 1.5 [kWh] around 15:30, it decreased to 1.0 [kWh] at 16:00, 0.5 [kWh] at 17:00, and almost 0 after 18:00. It becomes [kWh].

In this case, according to the surplus boiling time zone setting unit 33A, the boiling time zone in which the predicted value of the surplus power exceeds the predicted value of the device power is from 8:30 to 11:30, 12: Two are set from 30 to 15:30. At this time, the outside air temperature between 8:30 and 11:30 is, for example, 17 [° C.] at 8:30 and 9:00, 18 [° C.] at 10:00, and 19 [° C.] at 11:00. [° C.], 11:30 is 19.5 [° C.] (the average between 8:30 and 11:30 is about 18 [° C.]). The other outside air temperature between 12:30 and 15:30 was 20.5 [° C.] at 12:30, 21 [° C.] at 13:00 and 14:00, and then 15 :. It decreases to 20 [° C.] at 00 and 15:30 (the average between 12:30 and 15:30 is about 20 [° C.]). As a result, the surplus boiling time division determination unit 33B performs the boiling operation from the two available boiling time zones, 8:30 to 11:30 and 12:30 to 15:30. The boiling operation should be performed from 12:30 to 15:30, which is a time division in which the length of time that can be performed is equal to or more than a predetermined value (3 hours in this example) and the average value of the predicted temperature values is the highest. It is determined by the boiling time division.

As described above, the outside air temperature (specifically, the average value of the outside air temperature) is higher among the boiling possible time zones set by the surplus boiling time zone setting unit 33A according to the above prediction. The boiling time division in which the COP becomes relatively high during the boiling operation can be determined by the excess boiling time division determination unit 33B.

After that, the boiling time division determined by the excess boiling time division determination unit 33B as described above is output to the excess boiling capacity calculation unit 37. The surplus boiling capacity calculation unit 37 allows the hot water storage type hot water supply device 1 to boil up to a predetermined boiling target temperature between the boiling time divisions determined by the excess boiling time classification determination unit 33B. Calculate the excess boiling capacity that can be produced. The calculated surplus boiling capacity is output to the corrected nighttime boiling capacity calculation unit 38.

On the other hand, at this time, the detection signal from the hot water supply flow rate sensor 16 (representing the hot water supply amount) and the detection signal of the hot water supply temperature sensor 17 (representing the hot water supply temperature) are input to the hot water supply amount learning unit 34. To. The hot water used learning unit 34 converts the input hot water supply amount into the hot water used at a predetermined temperature (for example, 43 [° C.]) while corresponding to the hot water supply temperature, and learns as the daily learning hot water amount in the past predetermined period.

The required calorific value determination unit 35 determines the required calorific value on the next day based on the daily learning hot water amount of the past predetermined period learned by the hot water amount learning unit 34.

The nighttime boiling capacity determining unit 36 calculates the required capacity by dividing the required heat amount on the next day determined by the required heat amount determining unit 35 by the temperature difference between the boiling target temperature and the water supply temperature. It is the night boiling capacity (before correction using the excess boiling capacity described later). The night-time boiling capacity calculated in this way is output to the corrected night-time boiling capacity calculation unit 38.

The corrected night-time boiling capacity calculation unit 38 is a boiling capacity corresponding to the night-time boiling capacity (in other words, the amount of hot water required for the next day) calculated by the night-time boiling capacity determination unit 36 as described above. From the upper capacity), the surplus boiling capacity calculated by the surplus boiling capacity calculation unit 37 as described above (in other words, the boiling capacity corresponding to the amount of hot water to be boiled in the boiling time division of the next day). ) Is subtracted to calculate the corrected nighttime boiling capacity (corresponding to the amount that cannot be heated due to surplus power in the daytime of the next day). This corrected night boiling capacity is output to the night boiling control unit 39.

The night-time boiling control unit 39 is operated by the corrected night-time boiling capacity calculation unit 38 in the nighttime zone from the desired day to the next day (for example, from 23:00 on the desired day to 7:00 on the next day). The heat pump device 19 (specifically, the compressor 20, the blower 24, the heating circulation pump 28, etc.) of the hot water storage type hot water supply device 1 is controlled so as to boil the calculated corrected nighttime boiling capacity. ..

As described above, when the weather on the next day is fine, the surplus boiling time zone setting unit 33A sets at least one boilable time zone, and the surplus boiling time classification determination unit 33B sets one. When the boiling time division is set, this boiling time division is output to the surplus boiling control unit 40. The surplus boiling control unit 40 uses the surplus power to calculate the surplus boiling capacity in the boiling time division of the next day (for example, from 12:30 to 15:30 on the next day in the example of FIG. 6). The heat pump device 19 (specifically, the compressor 20, the blower 24, the heating circulation pump 28, etc.) of the hot water storage type hot water supply device 1 is controlled so as to boil the excess boiling capacity calculated by 37. To do.

Further, the daytime boiling increase control unit 42 reduces the amount of hot water stored in the hot water storage tank 10 to or less than a predetermined threshold value in the daytime zone (for example, from 7:00 to 23:00) other than the nighttime zone. (Detected by the plurality of hot water storage type hot water supply device temperature sensors 18), the heat pump device 19 of the hot water storage type hot water supply device 1 (details) so as to boil a predetermined daytime boiling increase capacity using the commercial power supply 49. Controls the compressor 20, the blower 24, the heating circulation pump 28, etc.). In the night boiling capacity determination unit 36, the required capacity calculated as described above may be compared with the capacity of the hot water storage tank 10, and the smaller of them may be the night boiling capacity (hereinafter, the same applies). ). At this time, when the required capacity exceeds the capacity of the hot water storage tank 10, the night-time boiling capacity calculated by the night-time boiling capacity determination unit 36 is input to the daytime boiling increase control unit 42 (FIG. (Refer to the two-dot chain line in 2), the amount that the daytime boiling increase control unit 42 did not boil in the nighttime zone is calculated as the daytime boiling increase capacity, and the calculated daytime boiling increase capacity is boiled. Such control may be performed.

Next, the control procedure executed by the HEMS device 7 and the control device 31 in order to realize the above method will be described with reference to the flowcharts of FIGS. 8, 9, 10, 11, and 12.

FIG. 8 shows a control procedure executed by the HEMS device 7. In FIG. 8, first, in step S110, the HEMS device 7 determines whether or not the start time (for example, 7:00) of the nighttime zone (for example, 23:00 to 7:00), when the unit price of electricity is low, has come. The determination is not satisfied (S110: NO) until the nighttime start time is reached, the loop waits, and when the nighttime start time is reached, the determination is satisfied (S110: YES), and the process proceeds to step S120.

In step S120, the HEMS device 7 acquires the weather information from the server 9 by the weather information acquisition unit 32A. The weather information acquisition unit 32A periodically acquires the weather information from the server 9 and stores the latest data in an appropriate place, and when this flow is started, at the timing of step S120, The weather information data stored in the appropriate place may be read out and used.

After that, the process proceeds to step S130, and the HEMS device 7 is based on the amount of power generated by the photovoltaic power generation device 3 for each unit time in the past predetermined period and the weather information acquired in step S120 by the generated power prediction unit 32B. , The next day in this example, the same applies hereinafter) is determined (calculated) for each unit time of the photovoltaic power generation device 3.

Then, in step S140, the HEMS device 7 is subjected to the electric load device on the next day based on the load power consumption amount of the electric load device 6 for each unit time in the past predetermined period by the load power consumption prediction unit 32C. Determine (calculate) the estimated load power consumption for each unit time of 6.

After that, in step S150, the HEMS device 7 is subjected to the hot water storage type hot water supply on the next day based on the device power consumption amount of the hot water storage type hot water supply device 1 for each unit time in the past predetermined period by the device power consumption prediction unit 32D. The estimated device power consumption value for each unit time of the device 1 is determined (calculated). As already described, the control device 31 of the hot water storage type hot water supply device 1 may have a function equivalent to that of the device power consumption prediction unit 32D, and may determine the device power consumption prediction value. At that time, the control device 31 itself may learn its own power consumption by a known method, or may determine its own power consumption as a constant value. In this case, in step S180 described later, only the surplus power predicted value and the temperature predicted value (both described later) are output to the control device 31, and in step S10 of FIG. 9 described later, the surplus power predicted value and the temperature predicted value are output. Only (both described later) are acquired by the control device 31.

Then, in step S160, the HEMS device 7 uses the generated power predicted value determined in step S130 by the surplus power prediction unit 32E and the load use of the electric load device 6 for each unit time in step S140. Based on the predicted power value, the predicted surplus power for each unit time in the building on the next day is determined (calculated).

After that, in step S170, the HEMS device 7 determines the time-varying temperature prediction value on the next day based on the weather information acquired in step S120 by the outside air temperature prediction unit 32F.

Then, in step S180, the HEMS device 7 sets the device power consumption predicted value determined in step S150, the surplus power predicted value determined in step S160, and the temperature predicted value determined in step S170 to the control device 31. Output to and end this flow.

9 to 12 show control procedures executed by the control device 31. First, in FIG. 9, in step S5, the control device 31 determines whether or not the start time of the night zone has come, as in step S110 of FIG. The determination is not satisfied until the night zone start time is reached (S5: NO), the loop waits, and when the night zone start time is reached, the determination is satisfied (S5: YES), and the process proceeds to step S10.

In step S10, the control device 31 acquires the device usage power prediction value, the surplus power prediction value, and the temperature prediction value output in step S180 of FIG. After that, the process proceeds to step S15.

In step S15, the control device 31 uses the surplus power predicted value for each unit time of the next day acquired in step S10 by the surplus boiling time zone setting unit 33A and the device for each unit time of the next day. Based on the power prediction value, at least one boiling possible time zone in which the surplus power prediction value is equal to or higher than the device usage power prediction value is determined.

The detailed procedure of step S15 is shown in FIG. In FIG. 10, first, in step S151, the surplus boiling time zone setting unit 33A initializes the flag F indicating that the surplus power predicted value is equal to or higher than the device used power predicted value to 0.

Then, in step S152, the surplus boiling time zone setting unit 33A first sets the time t to be processed to 7:00, which is the start time of the daytime zone. After that, the process proceeds to step S153.

In step S153, the surplus boiling time zone setting unit 33A determines the predicted value of the surplus power at time t based on the values of the surplus power and the device used power acquired in step S10. It is determined whether or not the power consumption of the device is equal to or higher than the predicted value. For example, if the time t is still early and the solar radiation is not sufficient and the amount of surplus power is insufficient and the value is less than the power used by the device, the determination in step S153 is not satisfied (S153: NO), and the process proceeds to step S157. ..

In step S156, the surplus boiling time zone setting unit 33A determines whether or not the flag F is 1. Since F = 0 remains until F = 1 in step S154 described later, this determination is not satisfied (S156: NO), and the process proceeds to step S155.

In step S155, the surplus boiling time zone setting unit 33A adds a predetermined time deviation Δt (unit time of the surplus power predicted value) to the time t, and proceeds to step S156.

In step S156, the surplus boiling time zone setting unit 33A determines whether or not the time t of the processing target at this time has reached 23:00, which is the end time of the daytime zone. While the time does not reach 23:00, the determination is not satisfied (S156: NO), the process returns to step S153, and the same procedure is repeated.

As described above, during the repetition of step S153 → step S157 → step S155 → step S156 → step S153 → ... While shifting the time t, for example, sufficient solar radiation is obtained and the magnitude of the surplus power is the power used by the device. If the above is the case, the determination in step S153 is satisfied (S153: YES), and the process proceeds to step S154.

In step S154, the surplus boiling time zone setting unit 33A sets the flag F to 1. After that, in step S155, Δt is added to the time t as described above, and the process proceeds to step S156. Similar to the above, the determination in step S156 is not satisfied (S156: NO) until 23:00 is not reached, the process returns to step S153, and the same procedure is repeated. In this way, while the magnitude of the surplus power is equal to or larger than the power used by the device, the same flow is repeated while shifting the time t as in step S153 → step S154 → step S155 → step S156 → step S153 →.

After that, when the solar radiation becomes insufficient again and the magnitude of the surplus power becomes less than the power used by the device, the determination in step S153 is not satisfied (S153: NO), and the process proceeds to step S157. At this point, since the value of the flag F is 1 in step S154, the determination in step S157 is satisfied (S157: YES), and the process proceeds to step S158.

In step S158, the surplus boiling time zone setting unit 33A sets the section from when the flag F first changes from 0 to 1 (when the determination in step S153 is satisfied) to this point in time. The upper possible time zone. Then, the process proceeds to step S159.

In step S159, the surplus boiling time zone setting unit 33A returns the flag F to 0 again, then proceeds to step S155, adds Δt to the time t as described above, and proceeds to step S156. Similar to the above, the determination in step S156 is not satisfied (S156: NO) until 23:00 is not reached, the process returns to step S153, and the same procedure is repeated.

As described above, while shifting the time t, step S153 → step S157 → step S158 → step S159 → step S155 → step S156 → step S153 → ... Repeated or step S153 → step S154 → step S155 → step While repeating S156 → step S153 → ..., the determination is satisfied when the time t reaches 23:00 (S156: YES), this routine is terminated, and the process proceeds to step S20 in FIG. Transition.

Returning to FIG. 9, in step S20, the control device 31 performs the boiling operation from the at least one possible boiling time zone determined in step S15 by the surplus boiling time division determination unit 33B. The time division in which the length of time that can be performed is equal to or greater than a predetermined value (for example, 3 hours; the same applies hereinafter) and the average value of the predicted temperature values is highest is determined by the electric power from the photovoltaic power generation device 3 on the next day. It is determined as the boiling time division in which the upper operation should be performed.

The detailed procedure of step S20 is shown in FIG. In FIG. 11, first, in step S201, the surplus boiling time classification determination unit 33B has a predetermined boiling time zone to be processed having a predetermined length (the predetermined value, 3 hours in this example). It is determined whether or not it is the above. If the length is longer than the predetermined length, the determination is satisfied (S201: YES), and the process proceeds to step S202.

In step S202, the surplus boiling time classification determination unit 33B calculates the average air temperature in the entire boilable time zone based on the acquisition result of the outside air temperature acquired in step S10. After that, the process proceeds to step S203.

On the other hand, in step S201, if the boiling time zone to be processed is less than the predetermined length, the determination is not satisfied (S201: NO), and the process directly proceeds to step S203.

In step S203, the surplus boiling time division determination unit 33B determines whether or not the processing has been completed for all the boiling possible time zones determined in step S15. If the processing up to this point has not been completed for the total boiling time zone, the determination is not satisfied (S203: NO), and the process returns to step S201 and the same procedure is repeated for the next boiling possible time zone. When the processing up to this point is completed for the total boiling time zone, the determination is satisfied (S203: YES), and the process proceeds to step S204.

In step S204, the surplus boiling time division determination unit 33B determines whether or not there is a boiling possible time zone that is equal to or longer than the predetermined length (in other words, the determination in step S201 is satisfied). When there is the boiling possible time zone of the predetermined length or more, the determination in step S204 is satisfied (S204: YES), and the process proceeds to step S205.

In step S205, the surplus boiling time classification determination unit 33B has the highest possible boiling time calculated in step S202 among the available boiling time zones having a predetermined length or more. The band is determined by the boiling time division. If there is only one boilable time zone having a length equal to or longer than the predetermined length, the boilable time zone is determined as it is in the boiling time category.

On the other hand, in step S204, if there is no boiling time zone longer than the predetermined length, the determination in step S204 is not satisfied (S204: NO), the process proceeds to step S206, and it is determined that there is no boiling time division. ..

When the step S205 or step S206 is completed, this routine is terminated, and the process proceeds to step S25 of FIG.

Returning to FIG. 9, in step S25, the control device 31 determines the average, standard deviation, and the like based on the daily learning hot water amount of the past predetermined period that has been learned by the hot water amount learning unit 34 by the required heat amount determining unit 35. The required calorific value for the next day is determined (calculated) using the known method used. The required amount of heat may be calculated as the required amount of hot water converted to a predetermined temperature (for example, 43 [° C.]).

After that, in step S30, the control device 31 may have other conditions such as the required hot water amount determined in step S25 by the required heat quantity determining unit 35 and the outside air temperature (or the water supply temperature) acquired in step S10. ), The boiling target temperature is determined. The boiling target temperature is set as low as possible, for example, between 65 [° C.] and 75 [° C.], but particularly when the required amount of hot water is large, when the outside air temperature is low, or when the water supply temperature is high. If it is low, it is set higher (compared to other cases).

Then, in step S35, the control device 31 divides the required heat amount determined in step S30 by the nighttime boiling capacity determination unit 36 by the temperature difference between the boiling target temperature and the water supply temperature, and the necessary It is converted into the capacity and used as the night boiling capacity. When the required capacity calculated in this way exceeds the capacity of the hot water storage tank 10, the capacity of the hot water storage tank 10 may be used as the night boiling capacity.

After that, in step S45, the control device 31 is subjected to the hot water storage type hot water supply device 1 which is determined by the excess boiling capacity calculation unit 37 during the boiling time division determined in step S20. The excess boiling capacity that can be boiled to the boiling target temperature is calculated based on the magnitude of the heating capacity of.

Then, in step S50, the control device 31 subtracts the surplus boiling capacity calculated in step S45 from the night boiling capacity calculated in step S35 by the corrected night boiling capacity calculation unit 38. , The corrected night boiling capacity that actually boils in the night zone is calculated.

After that, in step S55, the control device 31 has a capacity of the amount of hot water stored (remaining hot water) that can be regarded as hot water in a sufficiently heated state based on the detection results of the plurality of hot water storage temperature sensors 18 by the night boiling control unit 39. Capacity) is calculated. Further, in the subsequent step S60, the control device 31 uses the night boiling control unit 39 to boil the corrected night boiling capacity calculated in the step S50 at the end time of the night zone (for example, 7:00). Calculate the appropriate night boiling start time to complete.

Then, in step S62 of FIG. 12, the control device 31 uses the night boiling control unit 39 to determine whether or not the time (current time) at this point is the night boiling start time calculated in step S60. judge. The determination is not satisfied until the night boiling start time is reached (S62: NO), the loop waits, and when the night boiling start time is reached, the determination is satisfied (S62: YES), and the process proceeds to step S64.

In step S64, the control device 31 is subjected to the heat pump device 19 of the hot water storage type hot water supply device 1 by the night boiling control unit 39 (specifically, the compressor 20, the blower 24, the heating circulation pump 28, etc.). Is controlled, the water taken out from the lower part of the hot water storage tank 10 is heated to the boiling target temperature determined in step S30, and the water is sequentially laminated from the upper part of the hot water storage tank 10 to start a night boiling operation.

After that, in step S66, the control device 31 boiled the corrected night boiling capacity calculated in step S50 after the night boiling operation was performed by the night boiling control unit 39 as described above. It is determined whether or not this is detected by the hot water storage temperature sensor 18 (or the current time during operation is the end time of the night zone). If the corrected night boiling capacity is boiled (or the end time of the night zone is reached), the determination is satisfied (S66: YES), and it is considered that the night boiling operation is completed, and the process proceeds to step S68. Move.

In step S68, the control device 31 controls the heat pump device 19 by the night boiling control unit 39, and stops the night boiling operation started in step S64. At this time, unheated water remains in the lower part of the hot water storage tank 10 by the same volume as the excess boiling capacity calculated in step S45. Then, the process proceeds to step S70.

In step S70, in the control device 31, the surplus boiling control unit 40 has set the time (current time) at this time to the start time (surplus boiling start time) of the boiling time division determined in step S20. Judge whether or not. The determination is not satisfied until the surplus boiling start time is reached (S70: NO), the loop waits, and when the surplus boiling start time is reached, the determination is satisfied (S70: YES), and the process proceeds to step S72.

In step S72, the control device 31 is subjected to the heat pump device 19 of the hot water storage type hot water supply device 1 (specifically, the compressor 20, the blower 24, the heating circulation pump 28, etc.) by the surplus boiling control unit 40. The excess boiling operation is started in which the water taken out from the lower part of the hot water storage tank 10 is heated to the boiling target temperature determined in step S30 and laminated sequentially from the upper part of the hot water storage tank 10.

After that, in step S74, the control device 31 boiled the surplus boiling capacity calculated in step S45 after the surplus boiling operation was performed by the surplus boiling control unit 40 as described above. Is detected by the hot water storage temperature sensor 18 (or the current time during operation is the end time of the boiling time division). If the surplus boiling capacity is boiled (or the end time of the boiling time division is reached), the determination is satisfied (S74: YES), and it is considered that the surplus boiling operation is completed, and step S76. Move on to.

In step S76, the control device 31 controls the heat pump device 19 by the surplus boiling control unit 40, and stops the surplus boiling operation started in step S72. At this time, as described above, when the nighttime boiling operation is completed, unheated water remains in the lower part of the hot water storage tank 10 by the same amount as the excess boiling capacity, so that the excess boiling operation is started before the start. Even if no hot water is supplied, the surplus boiling operation that fully utilizes the initially predicted surplus power can be continuously performed. After the surplus boiling operation is completed in this way, the process proceeds to step S96.

In step S96, the control device 31 uses the daytime boiling control unit 42 to set the time (current time) at this time to the end time (for example, 23:00) of the daytime zone (for example, 7:00 to 23:00). Judge whether or not it became. If the daytime zone end time is reached, the determination is satisfied (S96: YES), the process returns to step S5 shown in FIG. 9, and the same procedure is repeated. If the end time of the daytime zone is not reached, the determination is not satisfied (S96: NO), and the process proceeds to step S92.

In step S92, the control device 31 determines whether or not the hot water storage temperature sensor 18 at the uppermost portion of the hot water storage tank 10 has dropped to a predetermined hot water drainage danger temperature or lower by the daytime boiling increase control unit 42. If the temperature is higher than the hot water drainage danger temperature, the determination in step S92 is not satisfied (S92: NO), and the process returns to step S96 and the same procedure is repeated. If the temperature is equal to or lower than the dangerous temperature for running out of hot water, the determination in step S92 is satisfied (S92: YES), and it is considered that the hot water has run out, and the process proceeds to step S94.

In step S94, the control device 31 controls the heat pump device 19 by the daytime boiling increase control unit 42, and performs a hot water running out boiling operation for a predetermined time (for example, 1 hour) for eliminating the hot water running out. After that, the process returns to step S96 and the same procedure is repeated.

As described above, according to the photovoltaic power generation device linked hot water storage type hot water supply system 100 of the present embodiment, the weather information acquired by the weather information acquisition unit 32A and the temperature prediction value determined by the outside air temperature prediction unit 32F. Based on the above, the boiling time division in which the boiling operation should be performed by the electric power from the photovoltaic power generation device 3 in the specific period (next day) is determined. As a result, in the boiling possible time zone determined by the surplus boiling time zone setting unit, the time division in which the COP becomes relatively high (= the outside air temperature becomes relatively high) during the boiling operation is divided into the boiling time division. Can be determined as. As a result, the boiling operation using the electric power generated by the photovoltaic power generation can be executed with high energy consumption efficiency.

Further, in the present embodiment, in particular, the surplus power prediction unit 32E uses the power generation predicted value of the solar power generation device 3 based on the weather information and the load consumption of the electric load device 6 (excluding the hot water storage type hot water supply device 1). The surplus power predicted value in the specific period is determined by using the power predicted value. On the other hand, the device power consumption prediction unit 32C determines the device power consumption prediction value consumed by the hot water storage type hot water supply device 1 in the specific period. Then, the surplus boiling time classification determination unit 33B finds at least one boilable time zone in which the surplus power predicted value is equal to or greater than the device usage power predicted value in the specific period, and further, in that time zone, The time category in which the length of time during which the boiling operation can be performed is equal to or greater than a predetermined value (for example, 3 hours) and the average value of the predicted temperature values is highest is defined as the boiling time category. As a result, the surplus boiling time division determination unit 33B can find out the time division in which the COP is highest, which is continuous for a certain long time, so that the boiling operation can be reliably executed with high energy consumption efficiency. it can.

Further, in the present embodiment, in particular, the surplus power prediction unit 32E more accurately uses the generated power prediction value determined by the generated power prediction unit 32B and the load usage power prediction value determined by the load power consumption prediction unit 32C. The surplus power predicted value is determined. Then, using the determined surplus power predicted value, the surplus boiling time zone setting unit determines with high accuracy at least one boiling possible time zone in which the surplus power predicted value is equal to or greater than the device usage power predicted value. be able to.

Further, in the present embodiment, in particular, the load power consumption prediction unit 32C determines the load power consumption prediction value of the desired building in the specific period, and the surplus power prediction unit 32E determines the power generation power prediction unit 32B. Using the predicted power generation value determined by the above and the predicted load power consumption of the electric load device 6 of the building determined by the load power consumption prediction unit 32C, the building The surplus power predicted value of is determined.

As a result, the hot water storage type hot water supply device 1 provided in a specific building is found to have a boiling time zone, and the COP of the hot water storage type hot water supply device 1 becomes relatively high during the boiling operation. The boiling time division can be determined. As a result, the boiling operation of the hot water storage type hot water supply device 1 of the building using the electric power generated by the solar power generation device 3 can be executed with high energy consumption efficiency.

Further, in the present embodiment, in particular, the weather information acquisition unit 32A acquires the weather information of the next day as the specific period, and the outside air temperature prediction unit 32F obtains the temperature prediction value of the next day as the specific period. After determining, the surplus boiling time classification determination unit 33B determines the boiling time classification on the next day as the specific period. As a result, the hot water storage type hot water supply device 1 can be boiled for 24 hours the next day, and the COP of the hot water storage type hot water supply device 1 becomes relatively high during the boiling operation. The boiling time division can be determined. As a result, using the weather information and the temperature prediction value of the next day, the boiling operation of the hot water storage type hot water supply device 1 on the next day using the electric power generated by the solar power generation device 3 can be executed with high energy consumption efficiency. it can.

The present invention is not limited to the above aspects, and can be applied without changing the gist thereof. For example, each functional unit (weather information acquisition unit 32A and power generation) provided in the HEMS device 7 At least one of the power prediction unit 32B, the load power consumption prediction unit 32C, the device power consumption prediction unit 32D, the surplus power prediction unit 32E, and the outside temperature prediction unit 32F) may be provided in the server 9.

Further, in the above, the arrows shown in each figure of FIG. 2 and the like show an example of the signal flow, and do not limit the signal flow direction.

Further, the flowcharts shown in FIGS. 8 to 12 do not limit the present invention to the procedure shown in the above flow, and add / delete or change the order of the procedure within a range that does not deviate from the purpose and technical idea of the invention. You may do.

1 Hot water storage type hot water supply device 3 Solar power generation device 6 Electric load equipment 7 HEMS equipment 10 Hot water storage tank 19 Heat pump device (heat pump type heating means)
26 Heating going pipe (heating circulation circuit)
27 Heating return pipe (heating circulation circuit)
28 Heating circulation pump (heating circulation circuit)
31 Control device 32A Meteorological information acquisition unit (weather information acquisition means)
32B Power Generation Prediction Unit (Power Generation Prediction Means)
32C Load power consumption prediction unit (load power consumption prediction means)
32D device power consumption prediction unit (device power consumption prediction means)
32E Surplus power prediction unit (surplus power prediction means)
32F Outside temperature prediction unit (temperature prediction means)
33A Excess boiling time zone setting unit (time zone determination means)
33B Excess boiling time division determination unit (time division determination means)
49 Commercial power supply 100 Solar power generation equipment cooperation hot water storage type hot water supply system

Claims (5)

Solar power generation equipment and
A hot water storage tank for storing hot water, a heat pump type heating means for exchanging heat between the outside air and the hot water, and a heating circulation circuit are provided, and the heat pump type heating means heats the hot water in the hot water storage tank via the heating circulation circuit. A hot water storage type hot water supply device that performs boiling operation and
In the hot water storage type hot water supply system linked with photovoltaic power generation equipment
Meteorological information acquisition means for acquiring meteorological information in a specific period,
A temperature prediction means that determines a time-varying temperature prediction value in the specific period in response to the weather information.
Based on the weather information acquired by the weather information acquisition means and the temperature prediction value determined by the temperature prediction means, the hot water storage type hot water supply device is powered by the electric power from the photovoltaic power generation device in the specific period. There should be performed on the boiling operation, and time division determination means for determining a specific time segment,
Based on the weather information acquired by the weather information acquisition means, the predicted power generation value of the solar power generation device in the specific period and the load power consumption prediction of the electric load excluding the hot water storage type hot water supply device in the specific period. A surplus power prediction means for determining a surplus power prediction value that fluctuates over time in the specific period using a value, and
A device power consumption predicting means for determining a device power consumption predicted value consumed by the hot water storage type hot water supply device in the specific period, and
Have,
The time division determination means is
In at least one time zone in which the surplus power predicted value is equal to or higher than the device power consumption predicted value in the specific period, the length of time during which the hot water storage type hot water supply device can continuously perform the boiling operation is equal to or more than a predetermined value. A hot water storage system linked to a solar power generation device, which determines the specific time division in which the average value of the temperature prediction values determined by the temperature prediction means is the highest. Hot water supply system. Based on the meteorological information acquired by the meteorological information acquisition means, the generated power prediction means for determining the generated power predicted value that fluctuates with time in the specific period, and
A load power consumption prediction means for determining the load power consumption prediction value in the specific period, and
Have more
The surplus power prediction means is
The surplus power prediction value is determined by using the generated power prediction value determined by the power generation prediction means and the load power consumption prediction value determined by the load power consumption prediction means.
The time division determination means is
Having a time zone determining means for determining the at least one time zone in the specific period, and determining the specific time division from the at least one time zone determined by the time zone determining means. The solar power generation device linked hot water storage type hot water supply system according to claim 1 . The hot water storage type hot water supply device
It is installed in a specific power consumption facility
The load power consumption prediction means is
The load power consumption predicted value of the power consumption facility in the specific period is determined,
The surplus power prediction means is
Using the generated power predicted value determined by the generated power predicting means and the load power consumption predicted value consumed by the electric load of the power consuming facility determined by the load power consumption predicting means, The solar power generation device-linked hot water storage type hot water supply system according to claim 2 , wherein the surplus power predicted value of the power consumption facility is determined. The weather information acquisition means is
As the specific period, the weather information of the next day is acquired,
The temperature prediction means
The temperature prediction value in the next day as the specific period is determined.
The time division determination means is
The solar power generation device-linked hot water storage type hot water supply system according to any one of claims 1 to 3 , wherein the specific time division is determined on the next day as the specific period. The heat pump type heating means is provided with a hot water storage tank for storing hot water, a heat pump type heating means for exchanging heat between the outside air and the hot water, and a heating circulation circuit, and the heat pump type heating means is provided through the heating circulation circuit in cooperation with a photovoltaic power generation device. In the photovoltaic power generation device linked hot water storage type hot water supply device that performs a boiling operation to heat the hot water in the hot water storage tank.
Based on the weather information in the specific period and the temperature predicted value that fluctuates with time in the specific period in response to the weather information, the hot water storage type hot water supply device is heated by the electric power from the solar power generation device in the specific period. have a time segment determining means for determining a specific time segment to be performed on the operation,
The time division determination means is
In the specific period, using the predicted power generation value of the photovoltaic power generation device in the specific period based on the weather information and the load power consumption predicted value consumed by the electric load excluding the hot water storage type hot water supply device in the specific period. The hot water storage type hot water supply device is in at least one time zone in which the time-varying surplus power predicted value in the specific period is equal to or greater than the device power consumption predicted value consumed by the hot water storage type hot water supply device in the specific period. Photovoltaic power generation characterized in that the specific time division in which the length of time during which the boiling operation can be continuously performed is equal to or greater than a predetermined value and the average value of the predicted temperature values is the highest is determined. Equipment cooperation Hot water storage type hot water supply device.

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