KR101723938B1 - Pmv calculation apparatus for air conditioner and method thereof - Google Patents
Pmv calculation apparatus for air conditioner and method thereof Download PDFInfo
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- KR101723938B1 KR101723938B1 KR1020150146555A KR20150146555A KR101723938B1 KR 101723938 B1 KR101723938 B1 KR 101723938B1 KR 1020150146555 A KR1020150146555 A KR 1020150146555A KR 20150146555 A KR20150146555 A KR 20150146555A KR 101723938 B1 KR101723938 B1 KR 101723938B1
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Abstract
Description
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.
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
The temperature measuring unit 10 includes a
The temperature measuring unit 10 includes a
The average radiation
The average airflow
The thermal comfort
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
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
In addition to the
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
Next, the average radiation temperature Trp is predicted through the average radiation
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.
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,
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
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
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
Next, the average airflow velocity is predicted through the average airflow
The average airflow
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
In this configuration, since the indoor units and the outdoor units of the air conditioner are provided with the
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
First, the average radiation
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
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
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
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
In this case, the radiant heat value a is a value varying according to the operation time, and the average radiant
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
For example, the average radiant
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
In this case, the average radiation
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
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
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
Then, the air conditioner is operated according to predetermined operating conditions.
The current indoor temperature is measured through the
In addition, the outdoor temperature (outdoor temperature) may be further measured through the
The average radiation
In step S50, the average radiation
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
In this case, the average radiation
Alternatively, the average radiation
In addition, in step S50, the average radiation
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
For example, it is possible to measure the average radiation temperature experimental values by the indoor / outdoor temperature in the
Meanwhile, the average airflow
Thereafter, the thermal comfort
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)
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.
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 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.
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 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.
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,
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 )
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.
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 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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| CN112923529A (en) * | 2021-01-25 | 2021-06-08 | 浙江理工大学 | Heating air conditioner temperature regulation and control method and system based on thermal history |
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| CN107167178A (en) * | 2017-05-18 | 2017-09-15 | 重庆大学 | Environment inside car detection method and detecting system |
| CN107167178B (en) * | 2017-05-18 | 2019-07-05 | 重庆大学 | Environment inside car detection method and detection system |
| CN112923530A (en) * | 2021-01-25 | 2021-06-08 | 浙江理工大学 | Intelligent temperature control method and system based on human body thermal sensation |
| CN112923529A (en) * | 2021-01-25 | 2021-06-08 | 浙江理工大学 | Heating air conditioner temperature regulation and control method and system based on thermal history |
| CN112923529B (en) * | 2021-01-25 | 2022-05-27 | 浙江理工大学 | Heating air conditioner temperature regulation and control method and system based on thermal history |
| CN112923530B (en) * | 2021-01-25 | 2022-05-27 | 浙江理工大学 | Intelligent temperature control method and system based on human body thermal sensation |
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