JPS62141448A - Running control device of regenerative air conditioning equipment - Google Patents

Abstract

PURPOSE:To make it possible to efficiently run heat source apparatus and to realize peak-shift running by a method wherein detecting means, which respectively detect the outside air temperature and the storage heat, and an arithmetic controlling means, which has storage, arithmetic unit and output unit, are provided so as to estimate the daily cumulative load during the year and to feed back outside air temperatures detected with said detecting means to the daily cumulative load estimation in order to run the heat source apparatus under estimation. CONSTITUTION:A temperature sensor 5 and a pressure sensor 6 are installed on a thermal energy storage tank 2 in order to detect storage heat, while a temperature sensor 7 detects the outside air temperature. A microcomputer 10 relates to an arithmetic controlling means, to which weekly outside air temperature data during the year, which are set in advance on the basis of meteorological data, are inputted so as to obtain the correlation between the outside air temperature data and daily cumulative load in order to estimate air- conditioning load by feeding back the actual outside air condition to the load. Further, the allotment of running times of heat source apparatus 15 is done at arithmetic unit 13 on the basis of the detected storage heat and the data of the capacities of the heat source apparatus, which are inputted to storage 12, in order to run the heat source apparatus 13 through output unit 14 under proper estimation of air-conditioning load.

Description

[Detailed Description of the Invention] [Field of Application of the Invention] The present invention relates to an operation control device for a heat storage heating and cooling device, and particularly to an operation control device for a heat storage heating and cooling device, which is suitable for controlling energy-saving operation by incorporating air conditioning load prediction. This relates to a control device.

[Background of the invention]

In recent years, with the increase in electricity demand, there is a tendency for the day-night disparity or temporal concentration of electricity loads to expand, and the development of thermal storage air conditioning systems, which are effective as a measure to level out electricity demand, is an important technical issue. It is being

For example, Hitachi Review VOL, 66, Nα6 (1984-
June) P, 17-20, there is a technical report by Masahiro Oguri called ``Unit Type Ice Cooling Storage Heating System''.

Particularly recently, it has become difficult to construct a heat storage tank with sufficient capacity due to space constraints. The latent heat storage method is attracting attention.

The efficient operation method for these thermal storage heating and cooling systems is to operate them at the minimum level commensurate with the load.
Incorporating accurate load prediction into operation control is an important issue.

Conventionally, attempts have been made to easily predict air conditioning loads by making predictions based on actual load measurements or empirical monthly predictions, but these methods are not very practical in terms of cost and accuracy. there were.

[Purpose of the invention]

The present invention has been made in view of the actual state of the prior art described above, and enables efficient operation of heat source equipment by predicting annual air conditioning load at low cost and with relatively high accuracy.

The purpose of this invention is to provide an operation control device for a heat storage heating and cooling system that enables peak shift operation.

[Summary of the invention]

The configuration of the operation control device for a heat storage heating and cooling device according to the present invention includes: an operation control device for a heat storage heating and cooling device including a heat source device, a heat storage tank connected to the heat source device, and means for controlling these; and each detection means for detecting heat storage acid ligation, weekly annual outdoor temperature data set in advance based on weather data, and maximum daily cumulative load for air conditioning and heating determined by load calculation9.
A storage unit that inputs and stores data such as the daily cumulative internally generated load and the capacity of heat storage tanks and heat source equipment, and the input date of the annual outside air temperature or the outside air temperature detected by the detection means and the daily cumulative load. a calculation unit that predicts the daily cumulative load based on the input data of and calculates the operating time allocation of the heat source equipment based on the daily cumulative load prediction and the input data of the capacity of the heat storage tank and the heat source equipment; It is equipped with an arithmetic control means having an output unit that outputs an operation control signal for the heat source equipment, and not only predicts the daily cumulative load for the year, but also detects the outside air temperature and feeds it back to the daily cumulative load prediction to control the heat source equipment. It is designed to perform predictive driving.

Additionally, the idea behind developing the present invention is as follows.

The main elements of the cooling air conditioning load include internally generated heat, radiation, conduction heat, and intake outside heat. Internally generated heat is heat generated from internal equipment and the human body, and is considered to be almost constant throughout each season. Also radiant and conductive heat.

The outside air heat taken in varies depending on outside air conditions.

Therefore, it can be said that the total cooling load minus the internally generated load is correlated with the outside temperature.

On the other hand, the main elements of heating and air conditioning load are conduction heat and intake outside air heat, and these heating loads can be said to be correlated with outside air temperature.

From this fact, it is possible to estimate the air conditioning load by reading the outside air temperature at a certain time from data input to a microcomputer or by measuring the outside air temperature with a temperature sensor.

Therefore, the idea is to perform predictive operation control of heat source equipment by combining information based on easily available weather data and a simple information processing device such as a microcomputer.

[Embodiment of the Invention] Hereinafter, an embodiment of the present invention will be described with reference to FIGS. 1 to 3.

First, FIG. 1 shows an example of a heat storage heating and cooling system that performs air conditioning load predictive operation control.

FIG. 1 is a schematic configuration diagram of a heat storage heating and cooling device according to an embodiment of the present invention.

In FIG. 1, 1 is a refrigerator that lowers or raises the temperature of water, which is a medium for transferring and receiving heat, and 2 is a refrigerator 1. A heat storage tank that stores cold water heat and hot water heat using cold and hot water obtained from
3 is a primary cold/hot water pump installed in a water pipe connecting the refrigerator 1 and the heat storage tank 2 to circulate water;
4 is a control panel for controlling each of these devices; 5 and 6 are various sensors that detect the amount of heat stored in the heat storage tank 2; 7 is a temperature sensor that detects the outside air temperature; 8
is an air conditioner on the load side, and 9 is a secondary cold/hot water pump disposed in a water pipe connecting the air conditioner 8 and the heat storage tank 2 to circulate water.

The operation of the heat storage heating and cooling device having such a configuration will be described next.

During heat storage operation, the refrigerator 1 and secondary cold/hot water pump 3 are operated, and while circulating the water in the heat storage tank 2, the temperature of the water is lowered or increased, and the heat is stored in the heat storage tank 2. During the air conditioning operation, , the air conditioner 8 and the secondary cold/hot water pump 9 are operated to circulate the water in the heat storage tank 2 and consume the amount of heat stored in the heat storage tank 2. If the load is large, the amount of heat stored in the heat storage tank 2 during the heat storage operation is insufficient, so the air conditioner 8 and the secondary cold/hot water pump 9 are operated to consume the amount of heat while the refrigerator 1 The secondary cold/hot water pump 3 is also operated to replenish the heat storage tank 2 with hot ground.

A control procedure for such a heat storage heating and cooling device will be explained.

In the case of heat storage operation, it is determined whether the heat storage amount of the heat storage tank 2 has reached a preset heat storage amount or not. When a certain heat storage is reached, the refrigerator 1. -Next hot water pump 3 stops. The operation continues until the amount of heat storage reaches the set value.

In the case of air conditioning operation, the air conditioner 8 and the secondary cold/hot water pump 9 are operated. At this time, the air conditioning load is predicted, the insufficient amount of heat is calculated by comparing the heat storage amount and the air conditioning load prediction, and the amount of heat is calculated from the heat source equipment capacity, that is, the capacity of the refrigerator 1. The operating time is allocated, and the refrigerator 1 and the primary cold/hot water pump 3 are operated and stopped according to the allocation.

Next, when controlling the operation of the heat storage heating and cooling device described above, the configuration and control procedure of the control device for performing air conditioning load predictive operation will be explained with reference to FIGS. 2 and 3.

FIG. 2 is a block diagram showing the configuration of the air conditioning load prediction control section in the operation control device of the heat storage heating and cooling system shown in FIG.
The figure is an explanatory diagram showing a procedure for determining the correlation between the outside temperature of the target load and the daily cumulative load.

In FIG. 2, 5 and 6 are various sensors installed in the heat storage tank 2 to detect the amount of heat storage, as shown in FIG. 1 earlier. For example, 5 is a temperature sensor, and 6 is a pressure sensor. .

7 is a temperature sensor that detects the outside temperature; 1° is a microcomputer related to the arithmetic control means; each block shown within the frame of this microcomputer 10 represents the function of the microcomputer 10 in this embodiment. 11 is a power supply section, 12 is a storage section, 13 is a calculation unit 81), and 14 is an output section.

Reference numeral 15 denotes heat source equipment such as the refrigerator 1 and the secondary cold/hot water pump 3 described above with reference to FIG.

In order to predict the air conditioning load, first input the weekly annual outdoor temperature data set in advance based on weather data.
Next, the correlation between this outside air temperature data and the daily cumulative load is determined.

The procedure is as follows. Each symbol in the following description corresponds to the symbol shown in FIG.

Figure 3 shows the yearly temperature trends on a weekly basis, with the month on the horizontal axis and the temperature on the vertical axis.
Weekly average value of maximum temperature, dashed line during heating season is 1-
1 Weekly average value of minimum temperature.

1) Enter the annual temperature change at the standard time of 10 o'clock in 52 weekly divisions, and use this as the standard temperature Tn.

2) Reference time 10 of maximum temperature used for cooling load calculation
Let the temperature at that time be Th, and let the maximum cooling load at this time be Qcmax.

3) Let Tt be the temperature at reference time 10:00 on the day of the lowest temperature used for heating load calculation, and let Q be the maximum heating load at this time.
Set the guard to max.

4) Let Tc be the temperature at the reference time on the day when the daily high temperature is the cooling start temperature (approximately 28° C.), and let the cooling load at this time be the internally generated load Qci.

Therefore, the cooling load when the temperature is equal to or higher than Tc on the day of the cooling start temperature increases in proportion to the outside temperature, with the internally generated load Qci being the minimum load. In other words, when cooling,
The outside temperature and the daily cumulative load excluding the internally generated load are proportionally correlated.

5) ■ Let Tw be the temperature at the reference time when the lowest air temperature is the heating start temperature (approximately 18° C.), and let the heating load at this time be 0 internally generated load.

Therefore, the heating load when the temperature is below Tw on the day of the heating start temperature increases as the outside air temperature falls. In other words, during heating, the outside air temperature and the daily cumulative load are proportionally correlated.

In this way, the correlation between the outside air temperature and the daily cumulative load at the reference time is determined, and it is possible to predict the annual load using only this. However, in this example, in order to increase the prediction accuracy, the actual outside air condition is further fed back. I'm letting you do it. That is, at the reference time of 10:00, the outside air temperature is detected by the temperature sensor 7 and added to the calculation formula for predicting the air conditioning load.

The air conditioning load prediction calculation formula is as shown below.

Let the m-type temperature in the nth week be To.

(A) Cooling load The cooling load Qc(n) for the nth week is corrected by taking the outside temperature measurement value at the reference time of 10:00 as t.Th n)=(ktX(Tn-Tc)+2X(t
-Tn)) Qcmax Th Tc (B) Heating load The heating load QW(n) for the nth week is -Tt If the outside air temperature measurement value at the reference time of 10 o'clock is corrected as t, -Tt is the correction coefficient for each term. To summarize, Q'w (n) = (kgX (Tn Tt) + kaX (T
n-t)) Each correction coefficient kt, kz, kat used in T, l-T exemption operation
k4 is input into the storage section 12 of the microcomputer 10 in advance.

The air conditioning load is predicted as described above, and furthermore, based on the detection of the amount of heat storage and the data on the heat source equipment capacity input into the storage unit 12, the operation time allocation of the heat source equipment 15 is calculated by the calculation unit ]-3. heat source equipment via the output section 14]-
5, an appropriate air conditioning load prediction operation is performed.

According to the operation control device for a heat storage heating and cooling device of this embodiment, it is possible to perform an inexpensive and relatively accurate air conditioning load prediction using general weather data and a simple program, so that there is no excess or deficiency in the heat storage heating and cooling device. Able to drive efficiently.

In addition, in the above-mentioned embodiment, an example was explained in which a refrigerator was used as a heat source device, but the present invention is not limited to this.
For example, it does not preclude the adoption of other heat source equipment such as a heat pump second chiller unit that is used in connection with the heat storage tank.

〔Effect of the invention〕

As described above, according to the present invention, it is possible to perform a practical annual air conditioning load prediction at low cost and with high accuracy.

[Brief explanation of drawings]

FIG. 1 is a schematic configuration diagram of a heat storage heating and cooling device according to an embodiment of the present invention, and FIG. 2 is a block diagram showing the configuration of an air conditioning load prediction control section in the operation control device for the heat storage heating and cooling device shown in FIG. , FIG. 3 is an explanatory diagram showing a procedure for determining the correlation between the outside temperature of the target load and the daily cumulative load.

Claims (1)

[Scope of Claims] 1. An operation control device for a heat storage heating and cooling system comprising a heat source device, a heat storage tank connected to the heat source device, and a means for controlling these, each of which detects the outside air temperature and the amount of heat storage. detection means, weekly annual outdoor temperature data set in advance based on weather data, maximum daily cumulative load for heating and cooling determined by load calculation,
A storage unit that inputs and stores data such as the daily cumulative internally generated load and the capacity of heat storage tanks and heat source equipment, and the input data of the annual outside temperature or the outside temperature detected by the detection means and the daily cumulative load a calculation unit that predicts the daily cumulative load based on the input data, and calculates the operating time allocation of the heat source equipment from the daily cumulative load prediction and the input data of the capacity of the heat storage tank and the heat source equipment; It is equipped with an arithmetic control means having an output unit that outputs an operation control signal for the equipment, and predicts the daily cumulative load for the year, and also predicts the heat source equipment by detecting the outside air temperature and feeding it back to the daily cumulative load prediction. 1. An operation control device for a heat storage heating and cooling device, characterized in that it is configured to perform operation. 2. In the item described in claim 1, the calculation unit of the calculation control means is configured to correlate the outside air temperature and the daily cumulative load excluding the internally generated load in a proportional manner during cooling, and to correlate the outside air temperature and the daily cumulative load during heating. An operation control device for a heat storage heating and cooling system that calculates a predicted daily cumulative load based on outside air temperature information, as the load is proportionally correlated with the load.