KR101723938B1 - Pmv calculation apparatus for air conditioner and method thereof - Google Patents

Abstract

An apparatus and method for calculating the thermal comfort of an air conditioner are disclosed.
The apparatus for calculating the thermal comfort of the air conditioner measures the room temperature, estimates the average radiation temperature based on the dry bulb temperature using the room temperature as the dry bulb temperature, predicts the average air flow rate based on the fan rotation speed of the indoor unit Then, the thermal comfort level is calculated from the measured indoor temperature, the predicted average radiation temperature, the predicted average airflow rate, and predetermined seasonal constants.
Thus, the PMV prediction can be simplified and optimized for the air conditioner, and the accuracy and reliability of the PMV prediction can be improved by using database-based experimental values.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a device for calculating the thermal comfort of an air conditioner,

The present invention relates to an apparatus and a method for calculating the thermal comfort of an air conditioner, and more particularly, to provide a simplified and optimized PMV prediction suitable for an air conditioner, and at the same time to increase the accuracy and reliability of PMV prediction using database- The present invention relates to an apparatus and method for calculating the thermal comfort of an air conditioner.

Recently, the air conditioner has evolved into a user-oriented indoor environment in which the user feels more comfortable and comfortable in the operation for simply adjusting the set temperature.

In order to achieve this, the air conditioner should be operated in consideration of the overall indoor environment quality and the comfort felt by humans, focusing on the air flow.

The Predicted Mean Vote (PMV), which is a predicted thermal sensation, is a representative heat environment evaluation index showing the correlation between the indoor environment and the human comfort, And the air conditioner can perform efficient operation based on the PMV.

The above-described PMV is a value expressing a sense of thermal comfort that a person feels in seven stages (Hot, Warm, Slightly warm, Neutral, Slightly cool, Cool and Cold) from +3 to -3, (Such as metabolic rate, garment heat resistance, dry bulb temperature, radiation temperature, air velocity, relative humidity, etc.).

Conventionally, PMV is predicted based on metabolic rate, clothes heat resistance value (clothing resistance value), dry bulb temperature, radiation temperature, air velocity, and relative humidity measured through various expensive sensors installed in various places of the subject space .

The predicted PMV is highly utilized as a comprehensive indicator applicable to various indoor environments.

On the other hand, in order to obtain accurate values in measuring various factors affecting the PMV, it is necessary to install / use various expensive sensors scattered in various places in a wide space. Is high.

In addition, it is necessary to allocate a large number of sensors at appropriate places, such as uniform distribution of various sensors or proper distribution of sensors in consideration of characteristics of each space and each factor, so that accurate and reliable data can be obtained it's difficult.

Therefore, there is a need for a method of predicting a PMV that can be easily applied as a simple indicator during operation of an air conditioner, by optimizing the standardized conventional PMV prediction method for an air conditioner.

Korean Patent Registration No. 10-1275147 (Published on June 17, 2013)

 Facility Engineering Journal, Vol.19 No.11 (November 2007), Paper: Simplification of PMV Model by Multiple Regression Analysis

It is an object of the present invention to provide a simplified PMV which can be easily applied in the operation of an air conditioner without installing expensive sensors at various positions of an indoor space, And to provide a method for calculating the thermal comfort of the air conditioner.

Another object of the present invention is to provide an apparatus and a method for calculating the thermal comfort of an air conditioner, which can simplify / optimize PMV prediction for an air conditioner and increase the accuracy and reliability of PMV prediction using database-based experimental values I would like to.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not to be construed as limiting the invention as defined by the appended art. It will be possible.

According to an aspect of the present invention, there is provided an apparatus for calculating the thermal comfort of an air conditioner, including: a temperature sensor of an indoor unit; An average radiation temperature predicting unit that receives the current room temperature measured by the temperature sensor of the indoor unit and predicts the average radiation temperature from the current room temperature and the radiant heat value; An average airflow velocity predicting unit for predicting an average airflow velocity based on a fan rotation speed of the indoor unit; And a controller for receiving the current room temperature measured through the temperature sensor of the indoor unit and receiving the predicted average radiation temperature and the average air velocity in each of the average radiation temperature predicting unit and the average air flow rate predicting unit, And a thermal comfort level calculating unit for calculating a thermal comfort level from the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant. The radiant heat value is a value required to predict the average radiant temperature from a given room temperature. A radiant heat value according to the difference between the room temperature and the average radiant temperature may be set based on the database storing the average radiant temperature experimental values per room temperature.

In the apparatus for calculating the thermal comfort of an air conditioner according to an aspect of the present invention, the radiant heat value is a fixed constant indicating an average difference between room temperature and radiation temperature obtained from the database, The predicted average radiation temperature can be obtained by adding the radiant heat value, which is a fixed constant, to the current room temperature measured through the temperature sensor.

In the apparatus for calculating the thermal comfort of an air conditioner according to an aspect of the present invention, the radiant heat value is a value varying according to an operation time, and the average radiant temperature predicting unit calculates an average radiant temperature difference And the predicted average radiation temperature can be obtained by adding the radiant heat value to the current room temperature measured through the temperature sensor of the indoor unit.

In the apparatus for calculating the thermal comfort of an air conditioner according to one aspect of the present invention, the average radiation temperature predicting unit may lower the radiation heat value at regular intervals during cooling operation.

According to another aspect of the present invention, there is provided an apparatus for calculating the thermal comfort of an air conditioner, including: a temperature sensor of an indoor unit; A temperature sensor of an outdoor unit; An average radiation temperature predicting unit for predicting an average radiation temperature from the current room temperature, the current outdoor temperature, and the radiant heat value by receiving the current room temperature and the current outdoor temperature measured by the temperature sensor of the indoor unit and the temperature sensor of the outdoor unit, ; An average airflow velocity predicting unit for predicting an average airflow velocity based on a fan rotation speed of the indoor unit; And a controller for receiving the current room temperature measured through the temperature sensor of the indoor unit and receiving the predicted average radiation temperature and the average air velocity in each of the average radiation temperature predicting unit and the average air flow rate predicting unit, And a thermal comfort level calculating unit for calculating a thermal comfort level from the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant. The radiant heat value is a value required to predict an average radiant temperature from a given indoor / outdoor temperature. A radiant heat value is set based on a database storing the average radiant temperature experimental values by indoor / outdoor temperature, The indoor radiant heat value and the outdoor radiant heat value can be set respectively.

In the apparatus for calculating the thermal comfort of an air conditioner according to another aspect of the present invention, the average radiation temperature predicting unit obtains a predicted average radiation temperature (T_RAD) according to the following equation to add / subtract the indoor / outdoor radiation specific gravity according to the outdoor temperature .

[Mathematical Expression]

T_RAD = (T_ODA - T_RA) * {a 2 / (T_ODA_R - T_RA_R)} + a 1 + T_RA

(Where T_RA is the current indoor temperature, T_ODA is the outdoor temperature, T_RA_R is the reference indoor temperature, T_ODA_R is the reference outdoor temperature, a ₁ and a ₂ are fixed indoor and outdoor radiation values, respectively)

In the apparatus for calculating the thermal comfort of an air conditioner according to the present invention, the thermal comfort degree calculating unit can calculate the thermal comfort degree (PMV _s ) by the following equation.

[Mathematical Expression]

PMV _s = A * T _a + B * T _rp - C * A _vp - D

(Where T _a is the current room temperature, T _rp is the predicted average radiation temperature, A _vp is the predicted average airflow rate, A is the room temperature coefficient, B is the average radiation temperature coefficient, , C are predetermined values, and D is a summer constant D ₁ or a winter season constant D ₂ )

In the apparatus for calculating the thermal comfort of an air conditioner according to the present invention, the seasonal constant may be a constant value in summer or a constant in winter, and may be a value set reflecting the seasonal heat resistance value of clothes.

According to an aspect of the present invention, there is provided a method for calculating the thermal comfort of an air conditioner, comprising: measuring a current room temperature through a temperature sensor of an indoor unit; Predicting an average radiation temperature from the current room temperature and the radiant heat value; Estimating an average airflow speed based on a fan rotation speed of the indoor unit; And calculating a thermal comfort from the current room temperature, the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant. The radiant heat value is a value required to predict the average radiant temperature from a given room temperature. A radiant heat value according to the difference between the room temperature and the average radiant temperature may be set based on the database storing the average radiant temperature experimental values per room temperature.

According to another aspect of the present invention, there is provided a method for calculating the thermal comfort of an air conditioner, comprising: measuring a current room temperature through a temperature sensor of an indoor unit; Measuring a current outdoor temperature through a temperature sensor of the outdoor unit; Predicting an average radiation temperature from the current room temperature and the radiant heat value; Estimating an average airflow speed based on a fan rotation speed of the indoor unit; And calculating a thermal comfort from the current room temperature, the current outdoor temperature, the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant. The radiant heat value is a value required to predict an average radiant temperature from a given indoor / outdoor temperature. A radiant heat value is set based on a database storing the average radiant temperature experimental values by indoor / outdoor temperature, The indoor radiant heat value and the outdoor radiant heat value can be set respectively.

According to the apparatus and method for calculating the thermal comfort of an air conditioner according to the present invention, a simplified PMV that can be easily applied in the operation of an air conditioner without using expensive sensors installed at various positions in an indoor space Can be predicted.

Also, according to the apparatus and method for calculating the thermal comfort of an air conditioner according to the present invention, PMV prediction can be simplified / optimized for an air conditioner, and accuracy and reliability of PMV prediction can be enhanced using database experimental values .

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram schematically showing an apparatus for calculating the thermal comfort of an air conditioner according to an embodiment of the present invention; FIG.
FIG. 2 is a table for illustrating an exemplary operation of the mean radiation temperature predicting unit shown in FIG. 1; FIG.
3 is a flowchart illustrating a method for calculating the thermal comfort of an air conditioner according to an embodiment of the present invention.

As is known, the PMV index can be calculated using various factors forming a human warm sensation such as metabolic rate, heat resistance by clothes, dry bulb temperature, radiation temperature, air velocity, relative humidity.

In addition, according to Non-Patent Document 1, in order to quantitatively evaluate the influence of each variable on PMV, multiple regression analysis was carried out to identify major factors contributing to PMV among various factors. As a result, clothes heat resistance> dry bulb temperature> It was confirmed that the influence on the PMV in the order of speed> average radiation temperature> relative humidity was large.

The multiple regression analysis was applied as a statistical method to analyze the influence of each factor on the PMV using the PMV as a dependent variable and each factor as an independent variable.

At this time, the measurement points of each factor were 13 points in summer and 9 points in winter. And the subject space is divided into inner zone and outer zone considering the effect of average radiation temperature.

Non-Patent Document 1 proposes a simplified PMV regression equation of Equation (1) through the multiple regression analysis on the PMV.

Where T _a is the dry bulb temperature, T _r is the average radiation temperature, and A _v is the average airflow rate.

The present invention makes it possible to calculate a simplified PMV that can be utilized as a simple indicator during the operation of the air conditioner through a multiple regression analysis on the PMV as in the non-patent document 1. [

In addition, the present invention proposes a method of increasing the accuracy and reliability of these main parameters while predicting the values of the main factors in an optimum manner suited to the air conditioner instead of measuring them in real time at various measurement positions .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an apparatus and method for calculating the thermal comfort of an air conditioner according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram schematically showing an apparatus for calculating the thermal comfort of an air conditioner according to an embodiment of the present invention.

1, an apparatus for calculating the thermal comfort of an air conditioner according to an embodiment of the present invention includes a temperature measuring unit 10, an average radiation temperature predicting unit 20, an average airflow velocity predicting unit 30, And a comfort degree calculating section 50. [

The temperature measuring unit 10 includes a temperature sensor 11 provided in the indoor unit and measures the current room temperature through the temperature sensor 11 of the indoor unit and applies the measured temperature to the thermal comfort calculating unit 50.

The temperature measuring unit 10 includes a temperature sensor 12 provided in the outdoor unit and measures the current outdoor temperature through the temperature sensor 12 of the outdoor unit and applies the measured temperature to the thermal comfort calculating unit 50.

The average radiation temperature predicting unit 20 receives the current room temperature measured by the temperature sensor 11 of the indoor unit, predicts the average radiation temperature based on the received room temperature, and then outputs the predicted average radiation temperature to the thermal comfort calculation unit 50).

The average airflow velocity predicting unit 30 predicts the average airflow velocity based on the fan rotation speed RPM of the indoor unit and then applies the predicted average airflow velocity to the thermal comfort degree calculation unit 50. [ The fan rotation speed (RPM) of the indoor unit is a value corresponding to the wind speed (wind intensity) in the operating condition of the air conditioner.

The thermal comfort level calculation unit 50 receives the current room temperature measured through the temperature sensor 11 of the indoor unit and sets it to the dry bulb temperature. The thermal comfort level calculation unit 50 estimates the average radiation temperature prediction unit 20 and the average airflow velocity predicting unit 30 , The predicted average radiation temperature, the predicted average airflow rate, and the predetermined seasonal constant are used to calculate the thermal comfort level.

Here, the term "heat comfort" refers to a simplified PMV (PMV simple, hereinafter referred to as "PMV _s ") which can be used as a simple indicator for operating the air conditioner.

The above-described thermal comfort degree calculating unit 50 can calculate the thermal comfort degree PMV _s by the following equation.

Where A is the room temperature coefficient, B is the mean radiant temperature coefficient, and C is the average air velocity coefficient. In this case, T _a is the current room temperature, T _rp is the predicted average radiant temperature, A _vp is the predicted average airflow rate.

Each of A, B, and C is a predetermined fixed value. D is a seasonal constant, and is a value set reflecting the seasonal resistance of the garment heat resistance, and may be set to a summer constant (D ₁ ) or a winter season constant (D ₂ ).

The above equation (2) is a formula derived from multiple regression analysis, and selects dry bulb temperature (T _a ), average radiation temperature (T _rp ) and average airflow velocity (A _vp ) as major factors contributing to PMV.

The process of determining the seasonal constant D in Equation (2) is as follows.

First, the clothing heat resistance value most influential on the PMV is used by averaging the experimental values. For example, depending on the season, 0.6clo in summer and 1.0clo in winter. The relative humidity, which has the least effect on the PMV, is 0.0055, which is the smallest value compared to the other factors. Since the effect on the PMV is insignificant compared to other factors, the relative humidity is fixed to 50%. In this way, the seasonal constant values (D ₁ : 5.9711, D ₂ : 5.3136) are defined differently in consideration of the clothing heat resistance value and the relative humidity.

As a result, the dry-bulb temperature (T _a), the average copy temperature (T _rp), the average air flow rate (A _vp, flow rate), the summer constant (D _1), the PMV _s a simple indicator using the winter constant (D ₂₎ Can be obtained.

The setting information such as the indoor temperature coefficient A, the average radiation temperature coefficient B, the average airflow velocity coefficient C, the summer constant D ₁ , and the winter season constant D ₂ is stored in the first DB 61 in advance.

In addition to the first DB 61 for storing the setting information, the database 60 includes a second DB 62 that stores the average radiation temperature experimental values by room temperature / indoor / outdoor temperature in a database for prediction of the average radiation temperature, A third DB 63 for storing the average airflow velocity experimental values for each fan rotational speed in a database for prediction of the airflow velocity, and the like.

The process of obtaining the dry bulb temperature T _a , the average radiation temperature T _rp , and the average airflow velocity A _vp in the above Equation 2 will be described in more detail as follows.

First, the room temperature measured through the temperature sensor 11 installed in the indoor unit is used as the dry bulb temperature T _a .

Next, the average radiation temperature Trp is predicted through the average radiation temperature predicting unit 20.

In the case of calculating the average radiation temperature according to the conventional international standard (for example, ISO 7726), the temperature is measured by a temperature sensor mounted inside the black hole using a black hole which absorbs heat radiation well, .

The natural convection heat transfer coefficient and the forced convection heat transfer coefficient are calculated and compared first, and the result is compared with the case of "natural convection heat transfer coefficient> forced convection heat transfer coefficient" and "natural convection heat transfer coefficient" Convective Heat Transfer Coefficient "should be differentiated and different average radiation temperature equations should be applied.

Natural convection heat transfer coefficient > For forced convection heat transfer coefficient, Equation (3) is applied. The average temperature at which the copy output in this case is a function of heukgu temperature (T _g), room temperature (T _a) and heukgu diameter (D).

Natural Convection Heat Transfer Coefficient < Equation (4) is applied for forced convection heat transfer coefficient. In this case, the calculated average radiation temperature is a function of the black bulb temperature T _g , the room temperature T _a , the measured flow velocity V _a , and the black bulb diameter D.

는 평균 복사온도이다.In the above Equation 3 and Equation 4 D is heukgu diameter, V is _a measured flow velocity, ε is heukgu emissivity _g, T _g is heukgu temperature, T _a is the room temperature,

Is the average radiation temperature.

In this case, a plurality of temperature sensors suitably distributed at various positions must be installed / operated as described above, and the computational complexity is increased.

In comparison with this, in the embodiment of the present invention, the average radiation temperature predicting unit 20 uses the empirical values as a database and obtains a predicted average radiation temperature based on the database.

For example, according to the non-patent document 1 (Table 3), the average radiation temperature was measured by the seasonal test results, and the average radiation temperature was about 2 ° C higher than the dry bulb temperature. On the other hand, in the winter test results, the average radiation temperature is not higher than the dry bulb temperature in the morning according to the measurement time, and the average radiation temperature is 3 ° C lower than the dry bulb temperature in the late afternoon.

When the average radiation temperature is similar to the dry bulb temperature (winter), the difference between PMV (PMV) and PMV regression (PMV _s ) is the smallest on the average. When the average radiation temperature is larger than the dry bulb temperature (summer), the PMV experimental value (PMV) is smaller than the PMV regression equation (PMV _s ).

The above-described average radiation temperature predicting unit 20 estimates the average radiation temperature from the dry bulb temperature by using the room temperature measured through the temperature sensor 11 provided in the indoor unit of the air conditioner as the dry bulb temperature, By analyzing the patterns of the experimental values stored in the second DB 62 and using them for predicting the average radiation temperature, it is possible to simplify the process of predicting the average radiation temperature and improve the accuracy / reliability of the prediction of the average radiation temperature.

In this case, depending on the place where the air conditioner is used, the target space may be selected as a specific model (for example, 32 pyeong apartment), and various indoor temperature (or various outdoor temperature and room temperature) The average radiation temperature can be measured and then the data can be converted into a database in the second DB 62 and applied to each air conditioner.

Next, the average airflow velocity is predicted through the average airflow velocity prediction unit 30. [

The average airflow velocity predicting unit 30 predicts the average airflow velocity in the room according to the fan rotation speed RPM provided in the indoor unit.

For this, the target space is first selected as a specific model corresponding to the indoor space (for example, 32 pyeong apartment), and the experimental values are obtained by measuring the average airflow velocity by grasping the indoor space which is not directly affected by the indoor air velocity.

In this case, the lattice structure modeling the indoor space excluding the vicinity of the discharge port of the indoor unit so as not to be influenced by the wind speed of the indoor unit at a certain height (for example, 1.2 m) from the floor can be used. The speed is stored in the third DB 63 and the average airflow speed according to the current rotational speed RPM of the indoor fan can be predicted using the database.

In this configuration, since the indoor units and the outdoor units of the air conditioner are provided with the temperature sensors 11 and 12, respectively, separate sensors are provided for each position in order to obtain indoor / outdoor temperatures and the average is repeatedly calculated It is possible to easily obtain the main factor values required for calculation of the PMV _s without need.

The average radiation temperature and the average airflow rate used in the calculation of the PMV _{s in} Equation (2) are predicted values, not experimental values, and the indoor / outdoor temperature and fan rotation speed (RPM) required to predict the average radiation temperature and the average airflow rate Since it is the basic data included in the operation condition of the harmonizer, it is not necessary to additionally install additional sensors for obtaining the experimental values in various places in the room.

Also increase the predictive accuracy / reliability of a prediction value based on the experimental data while the reduced efficiency databased using the non-similarity between the experimental data it is possible to more PMV get high PMV _s.

2 is a reference table for illustrating an operation of the average radiation temperature predicting unit shown in FIG.

There are three methods for predicting the average radiation temperature based on the result of the above-described average radiation temperature predicting unit 20 as a database of experimental values.

First, the average radiation temperature predicting unit 20 may calculate a predicted average radiation temperature by adding a radiant heat value fixed to the current room temperature (dry bulb temperature) measured through the temperature sensor 11 of the indoor unit, as shown in Equation (5).

Where T_RAD is the predicted average radiation temperature, and T_RA is the room temperature.

a is a radiant heat value, which is a value required to predict the average radiation temperature from a given room temperature, and is a fixed constant. The second DB 62, which is a database of experimental values, is analyzed to determine the difference between the room temperature and the average radiation temperature The radiant heat value a can be determined.

For example, when referring to non-patent document 1, a ≒ 2.6.

That is, when the experimental values of the non-patent document 1 (Table 3) are stored in the second DB 62, the difference between the dry bulb temperature (room temperature) and the average radiation temperature (average radiation temperature-dry bulb temperature) has a value between 2.19 and 3.45 And the radiant heat value a can be fixed to 2.6 by averaging these values.
In this case, the radiant heat value a is a fixed constant indicating an average difference between the room temperature and the radiation temperature obtained from the second DB 62 in which the average radiation temperature experimental values per room temperature are stored.

At this time, the target space can be databaseed by measuring the experimental values for each spatial model by selecting the apartment model in which the air conditioner is installed, and the air velocity can be assumed to be a certain range (for example, 0.1 to 0.19 m / s).

Second, the average radiation temperature predicting unit 20 obtains a predicted average radiation temperature by adding a radiant heat value to the current room temperature measured through the temperature sensor 11 of the indoor unit, and calculates an operation time (for example, a cooling operation time) The predicted average radiation temperature can be obtained by applying a variable radiant heat value while varying the radiant heat value according to Equation (6).
In this case, the radiant heat value a is a value varying according to the operation time, and the average radiant temperature predicting unit 20 multiplies the fixed radial temperature by the average radiant temperature between the room temperature and the radiant temperature obtained from the second DB 62, And the radiant heat value is varied according to the operation time, and the average radiation temperature can be predicted by using this.

a = b * f (hr)

Where T_RAD is the predicted average radiation temperature, and T_RA is the room temperature.

a is a radiant heat value, a variable that varies with time, and can be obtained from the time function "a = b * f (hr)". b is a predetermined coefficient which is constantly multiplied in order to calculate a, for example, can be given based on a database of experimental values obtained by observing a temperature change along the cooling operation time.

During the cooling operation of the air conditioner, the average radiation temperature predicting unit 20 can obtain a more accurate and reliable predicted average radiation temperature by lowering the radiation heat value every predetermined time during the cooling operation.

For example, the average radiant temperature predicting unit 20 initially sets the radiant heat value a = 2.6, and decreases the value of a in steps of 2.5, 2.4, 2.3, .

At this time, the radiant heat value can be kept below a predetermined maximum value (e.g., a maximum of 2.6 or less) or a predetermined minimum value (e.g., a minimum of 0.5 to 1 or more).

Third, the average radiation temperature predicting unit 20 measures the average radiation temperature experimental values by the indoor / outdoor temperature and stores them in a database as shown in FIG. 2 and stores them in the second DB 62. Then, The predicted average radiation temperature may be obtained from the second DB 62 by receiving the outdoor temperature measured through the indoor temperature and the temperature sensor 12 of the outdoor unit and considering the indoor temperature and the outdoor temperature together.

In this case, the average radiation temperature predicting unit 20 can obtain the predicted average radiation temperature T_RAD by the following Equation (7) to add or subtract the indoor / outdoor radiation specific gravity depending on the outdoor temperature (present outdoor temperature).

Where T_RA is the current room temperature, T_ODA is the current outdoor temperature, T_RA_R is the reference room temperature, and T_ODA_R is the reference outdoor temperature. a ₁ and a ₂ are a predetermined constant and are an indoor radiant heat value and an outdoor radiant heat value, respectively. a ₁ and a ₂ may be determined based on experimental values of the average radiation temperature per indoor / outdoor temperature stored in the second DB 62.
That is, the radiant heat values a ₁ and a ₂ are values necessary for predicting the average radiant temperature from a given indoor / outdoor temperature, and the radiant heat value is set based on the second DB 62, The indoor radiant heat value a ₁ and the outdoor radiant heat value a ₂ indicating the indoor / outdoor radiant heat specific gravity can be set by considering the temperature and the outdoor temperature together.
When the indoor temperature and the outdoor temperature are considered together, it is possible to add / subtract the indoor / outdoor radiation specific gravity depending on the outdoor temperature.

delete

3 is a flowchart illustrating a method of calculating the thermal comfort of the air conditioner according to an embodiment of the present invention.

First season constant (summer constant, D ₁ or winter time constant D ₂₎ the well room temperature coefficient (A), the average copy temperature coefficient (B), the average air flow rate coefficient (C), the summer constant (D _1), winter constant (D ₂₎ is (S10) the setting information such as previously stored in the DB 1 (61) of the database 60.

Then, the air conditioner is operated according to predetermined operating conditions.

The current indoor temperature is measured through the temperature sensor 11 of the indoor unit and is supplied to the thermal comfort calculating unit 50 (step S20) (S30).

In addition, the outdoor temperature (outdoor temperature) may be further measured through the temperature sensor 12 of the outdoor unit and applied to the thermal comfort calculation unit 50 (S40).

The average radiation temperature predicting unit 20 receives the current room temperature measured in S30 and estimates the average radiation temperature using the received room temperature and the average radiation temperature average values per room temperature stored in the second DB 62 S50).
In step S50, the average radiation temperature predicting unit 20 predicts the average radiation temperature from the current room temperature and the radiant heat value.

At this time, the radiant heat value is a value required to predict the average radiant temperature from a given room temperature, and a fixed constant indicating the difference between the room temperature and the average radiant temperature based on the second DB 62, You can set the radiant heat value.
In this case, the average radiation temperature predicting unit 20 can calculate the predicted average radiation temperature by adding the radiant heat value fixed to the room temperature (see Equation 5). At this time, the radiant heat value can be set to a constant value by referring to the second DB 62.

Alternatively, the average radiation temperature predicting unit 20 may set the fixed constant as the initial radiant heat value, then change the radiant heat value according to the operation time (for example, the cooling operation time), add the radiant heat value to the indoor temperature, (See Equation 6).

In addition, in step S50, the average radiation temperature predicting unit 20 receives the current outdoor temperature measured through the temperature sensor 12 of the outdoor unit together with the current indoor temperature, and then, considering the indoor temperature and the outdoor temperature, The predicted average radiation temperature may be obtained based on the indoor / outdoor temperature, the indoor radiation value and the outdoor radiation value (see Equation (7)).
At this time, the radiant heat value is a value required to predict the average radiant temperature from the given indoor / outdoor temperature, and the radiant heat value is set based on the second DB 62, The indoor radiant heat value and the outdoor radiant heat value indicating the indoor / outdoor radiant heat specific gravity can be respectively set.

For example, it is possible to measure the average radiation temperature experimental values by the indoor / outdoor temperature in the second DB 62 in advance, to extract the corresponding average radiation temperature from the second DB 62 based on the current indoor temperature and the outdoor temperature, It is possible to estimate the average radiation temperature by appropriately adding or subtracting indoor / outdoor radiant heat gravity depending on the outside temperature (current outdoor temperature) based on the indoor radiant heat value, the outdoor radiant heat value, and the current indoor / outdoor temperature difference.

Meanwhile, the average airflow velocity predicting unit 30 confirms the fan rotation speed RPM of the indoor unit during the operation condition of the air conditioner, and predicts the average airflow velocity of the indoor space based on the fan rotation speed RPM (S60).

Thereafter, the thermal comfort level calculation unit 50 calculates the thermal comfort level using the room temperature measured in step S30, the indoor / outdoor temperature, the average radiation temperature predicted in step S50, the average airflow rate predicted in step S60, receives (summer or winter time constant constant), and calculating the comfort (PMV _s) by applying heat to the equation (2) described above these factors (S70).

The air conditioner can then adjust the operating conditions based on PMV _s .

Such as air conditioner operating conditions some (e. G. Temperature, humidity) for a certain range of the appropriate average full range of reset every cycle to +3 (Hot) the PMV _s at -3 (Cold) (+0.5 ~ -0.5 ) of So that the indoor environment can be maintained in a pleasant state.

The apparatus and method for calculating the thermal comfort of an air conditioner according to the present invention are not limited to the above-described embodiments, and various modifications may be made within the scope of the technical idea of the present invention.

10: Temperature measuring unit
11: Temperature sensor of indoor unit
12: Temperature sensor of outdoor unit
20: average radiation temperature predicting unit
30: average airflow velocity predicting unit
50: Heat comfort degree calculating section
60: Database

Claims (10)

A temperature sensor of the indoor unit;
An average radiation temperature predicting unit that receives the current room temperature measured by the temperature sensor of the indoor unit and predicts the average radiation temperature from the current room temperature and the radiant heat value;
An average airflow velocity predicting unit for predicting an average airflow velocity based on a fan rotation speed of the indoor unit; And
And a control unit for receiving the current room temperature measured through the temperature sensor of the indoor unit and receiving the predicted average radiation temperature and the average airflow rate in each of the average radiation temperature predicting unit and the average air flow rate predicting unit, A thermal comfort level calculating unit for calculating a thermal comfort level from a predicted average radiation temperature, the predicted average airflow speed, and a predetermined seasonal constant,
The radiant heat value is a value required to predict an average radiant temperature from a given room temperature. The radiant heat value is an air conditioner setting a radiant heat value according to a difference between a room temperature and an average radiation temperature, Of the thermal comfort device.
The method according to claim 1,
Wherein the radiant heat value is a fixed constant indicating an average difference between room temperature and radiation temperature obtained from the database,
Wherein the average radiation temperature predicting unit obtains a predicted average radiation temperature by adding a radiant heat value, which is a fixed constant, to the current room temperature measured through the temperature sensor of the indoor unit.
The method according to claim 1,
The radiant heat value is a value varying according to the operation time,
Wherein the average radiation temperature predicting unit sets a fixed constant according to an average difference between the room temperature and the radiation temperature obtained from the database as an initial radiation heat value and then varies the radiation heat value according to the operation time, And calculating a predicted average radiation temperature by adding a radiant heat value to the current room temperature.
The method of claim 3,
Wherein the average radiation temperature predicting unit comprises:
And the radiant heat value is lowered at regular intervals during cooling operation.
A temperature sensor of the indoor unit;
A temperature sensor of an outdoor unit;
An average radiation temperature predicting unit for predicting an average radiation temperature from the current room temperature, the current outdoor temperature, and the radiant heat value by receiving the current room temperature and the current outdoor temperature measured by the temperature sensor of the indoor unit and the temperature sensor of the outdoor unit, ;
An average airflow velocity predicting unit for predicting an average airflow velocity based on a fan rotation speed of the indoor unit; And
And a control unit for receiving the current room temperature measured through the temperature sensor of the indoor unit and receiving the predicted average radiation temperature and the average airflow rate in each of the average radiation temperature predicting unit and the average air flow rate predicting unit, A thermal comfort level calculating unit for calculating a thermal comfort level from a predicted average radiation temperature, the predicted average airflow speed, and a predetermined seasonal constant,
The radiant heat value is a value required to predict an average radiant temperature from a given indoor / outdoor temperature. A radiant heat value is set based on a database storing the average radiant temperature experimental values by indoor / outdoor temperature, The indoor radiant heat value and the outdoor radiant heat value indicating the indoor heat radiation value and the outdoor radiation heat value, respectively.
6. The method of claim 5,
Wherein the average radiation temperature predicting unit comprises:
Wherein the predicted average radiation temperature (T_RAD) is calculated by the following equation to add or subtract indoor / outdoor radiation specific gravity according to the current outdoor temperature (T_ODA).
[Mathematical Expression]
T_RAD = (T_ODA - T_RA) * {a 2 / (T_ODA_R - T_RA_R)} + a 1 + T_RA
(Where T_RA is the current indoor temperature, T_ODA is the outdoor temperature, T_RA_R is the reference indoor temperature, T_ODA_R is the reference outdoor temperature, and a ₁ and a ₂ are fixed indoor and outdoor radiant heat values,
6. The method according to claim 1 or 5,
The thermal comfort degree calculating unit calculates,
And calculates the thermal comfort degree (PMV _s ) by the following equation.
[Mathematical Expression]
PMV _s = A * T _a + B * T _rp - C * A _vp - D
(Where T _a is the current room temperature, T _rp is the predicted average radiation temperature, A _vp is the predicted average airflow rate, A is the room temperature coefficient, B is the average radiation temperature coefficient, , C are predetermined values, and D is a summer constant D ₁ or a winter season constant D ₂ )
6. The method according to claim 1 or 5,
Wherein the seasonal constant is a value determined by reflecting the heat resistance value of the garment according to the seasons as a summer constant or a winter constant, and calculating the thermal comfort of the air conditioner.
Measuring a current room temperature through a temperature sensor of the indoor unit;
Predicting an average radiation temperature from the current room temperature and the radiant heat value;
Estimating an average airflow speed based on a fan rotation speed of the indoor unit; And
Calculating a thermal comfort from the current room temperature, the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant,
The radiant heat value is a value required to predict an average radiant temperature from a given room temperature. The radiant heat value is an air conditioner setting a radiant heat value according to a difference between a room temperature and an average radiation temperature, A method of calculating the thermal comfort of the vehicle.
Measuring a current room temperature through a temperature sensor of the indoor unit;
Measuring a current outdoor temperature through a temperature sensor of the outdoor unit;
Predicting an average radiation temperature from the current room temperature and the radiant heat value;
Estimating an average airflow speed based on a fan rotation speed of the indoor unit; And
Calculating a thermal comfort level from the current room temperature, the current outdoor temperature, the predicted average radiation temperature, the predicted average airflow rate, and a predetermined seasonal constant,
The radiant heat value is a value required to predict an average radiant temperature from a given indoor / outdoor temperature. A radiant heat value is set based on a database storing the average radiant temperature experimental values by indoor / outdoor temperature, And the outdoor radiating heat value indicating the outdoor radiating heat value.

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