KR20100131819A - Air conditioner and optimum energy using pmv control managing method thereof - Google Patents

Abstract

PURPOSE: An air conditioner, capable of the minimization of energy consumption and an energy optimization method through PMV control are provided to operate the air conditioner under the condition minimizing the energy consumption by controlling the factors determining thermal comfort sensation. CONSTITUTION: An air conditioner comprises an input part(11), a driving part(15), a sensor(13) and a controller(20). The information about the drive of an air-conditioner is inputted through the input part. The driving part operates the heating mode and cooling mode of the air-conditioner. The sensor senses the indoor environment and outdoor environment.

Description

Air conditioner and its PMP control method for energy optimization {AIR CONDITIONER AND OPTIMUM ENERGY USING PMV CONTROL MANAGING METHOD THEREOF}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air conditioner, and in particular, an air conditioner that controls the operation of an air conditioner in a condition that minimizes energy consumption in a case where a patient can satisfy a desired thermal comfort by adjusting factors that determine the thermal comfort. And an energy optimization management method through the PMV comfort control.

In general, an air conditioner includes a heating device that warms indoor cold air and supplies it to a room, and a cooling device that supplies cold indoor hot air to a room.

In addition, there is a cooling and heating device that has a cooling function and a heating function, and an air conditioner that includes a cleaning function to clean the contaminated indoor air and a humidification and dehumidification function to maintain the humidity of the room at a constant humidity.

Such an air conditioner may be of two types: a centrally controlled air conditioner for controlling the driving of the air conditioner and an individually controlled air conditioner for individually controlling the driving of the air conditioner.

On the other hand, the conventional air conditioner performs the heating and cooling operation to maintain the room temperature according to the desired temperature set by the occupants.

Since the power load of the air conditioner that performs the cooling and heating operation is rapidly increasing, the control and control of the power load by the cooling and heating are very important in terms of maximizing energy use efficiency.

However, since the conventional air conditioner operates the heating and cooling according to the desired temperature input by the occupants, it is not easy to satisfy the thermal comfort of the occupants because it does not consider the thermal comfort (PMV).

Thus, the operation of the air conditioner was controlled to satisfy the thermal comfort of the occupants.

However, the operation method of the conventional air conditioner considering the thermal comfort, without considering power consumption and energy consumption, controlled the air conditioner so that the current thermal comfort index desired thermal comfort index. Accordingly, there is a problem in that the electricity fee increases as the energy consumption of the air conditioner increases.

The present invention has been made in view of the above problems, the operation of the air conditioner to the condition that can minimize the energy consumption during the case that can satisfy the desired thermal comfort of the occupants by adjusting the factors that determine the thermal comfort The purpose of the present invention is to provide an air conditioner for controlling the energy and an energy optimization management method through the PMV comfort control.

Another object of the present invention is to control the operation of the air conditioner to operate the air conditioner to minimize the energy consumption of the operating conditions in consideration of the amount of wear, activity, the desired thermal comfort and number of occupants It is to provide an energy optimization management method through the control of the harmonic and its PMV.

An air conditioner according to an aspect of the present invention for achieving the above object, in the air conditioner for controlling the operation of the air conditioner in consideration of the desired thermal comfort, input information about the operation and setting of the air conditioner Receiving input unit; A driving unit for driving in a heating and cooling mode; A sensing unit sensing an indoor environment and an external environment; And a control unit for controlling the driving unit by selecting a condition for minimizing energy consumption among operating conditions for adjusting the indoor environment in consideration of the external environment such that the current thermal comfort becomes a desired thermal comfort set through the input unit. Include.

Here, the drive unit, a cooling drive unit for driving in the cooling mode; And a heating driving unit driving in the heating mode, wherein at least one of the cooling driving unit and the heating driving unit is driven under the condition of minimizing the energy consumption under the control of the controller.

Herein, the control unit calculates a current thermal comfort index, changes values of a plurality of variables (elements) affecting an indoor environment so as to be the desired thermal comfort index from the current thermal comfort index, and obtains a plurality of values obtained. An operation unit for calculating an energy consumption amount of each operation condition of the; A comparison unit for comparing the magnitude of energy consumption in each case according to the plurality of operation conditions and outputting a driving condition consuming minimum energy as a result of the comparison; And a driving controller which controls the driving unit under an operating condition consuming the minimum energy.

Here, the input unit displays the current indoor environment as a touch screen.

Here, the input unit is characterized in that the touch screen to receive the desired sense of warmth, activity amount, the amount of wear and the number of people in the touch method, and display the indoor environment.

Here, the operation unit may be set to a current heating comfort index, the amount of active heat input corresponding to the amount of activity and clothing wear and clothing insulation coefficient as a setting value, and satisfying the desired thermal comfort index. A thermal comfort index calculator for calculating a variable value; And an energy calculation unit for calculating an energy consumption amount of each of a plurality of operating conditions including a combination of the plurality of variable values.

Here, the thermal comfort index calculation unit calculates the current and desired thermal comfort index (PMV) through Equation 1 below,

In calculating the desired thermal comfort index, the calorific value of the activity and the clothing insulation coefficient are set as fixed values, and variable values corresponding to a plurality of variables satisfying the thermal comfort index except for the setting value are calculated.

(Equation 1)

Where M is the calorific value of activity, I _cl is the clothing insulation coefficient, t _air is the room temperature, t _mrt is the radiation temperature, f _cl is the skin exposure area ratio at the time of wearing, and t _cl is the clothing surface Means temperature.

Here, the thermal comfort index calculation unit calculates the garment surface temperature (t _cl ), the skin exposed area (f _cl ) and the convection heat transfer rate (h _c ) of the human body surface through the following equation (2).

(Equation 2)

Here, M is the amount of active heat, W is the external day, t _mrt is the radiation temperature, v is the air flow rate, ta is the room temperature, and I _cl is the clothing insulation coefficient.

Here, the variable is the room temperature t _a , the radiation temperature t _mrt , the humidity partial pressure Pa, and the air flow rate V.

According to another aspect of the present invention, there is provided a method of controlling an air conditioner, the method including controlling an operation of an air conditioner in consideration of desired thermal comfort, comprising: sensing an indoor environment and an external environment; Receiving information regarding driving and setting of the air conditioner; And a condition in which energy consumption can be minimized among operating conditions in which the indoor environment is adjusted in consideration of the external environment such that the desired thermal comfort is set in accordance with driving and setting information of the input air conditioner. Selecting the step of controlling the driving of the air conditioner.

The detecting of the indoor environment and the external environment may include: detecting an indoor temperature; Sensing humidity; Sensing outside temperature; And sensing the humidity of the outside air.

Here, the step of receiving the information on the driving and setting, characterized in that for receiving information on the amount of wear, activity, the desired thermal comfort index and the number of occupants.

The controlling of the operation of the air conditioner may include setting an active heat amount and a clothing insulation coefficient corresponding to a current thermal comfort index, an input amount of activity and a wearing amount according to the indoor environment, and setting the desired value. Calculating a plurality of variable values satisfying the thermal comfort index; And calculating an energy consumption amount of each of the plurality of operating conditions including the combination of the plurality of variable values.

In the calculating of the plurality of variable values, the desired thermal comfort index may be calculated by using Equation 3 below, and the heating comfort index may be set as an active calorie and clothing insulation coefficient, and the thermal comfort index excluding the setting value may be calculated. Compute variable values corresponding to a plurality of variables to satisfy.

(Equation 3)

Where M is the calorific value of activity, I _cl is the clothing insulation coefficient, t _air is the room temperature, t _mrt is the radiation temperature, f _cl is the skin exposure area ratio at the time of wearing, and t _cl is the clothing surface Means temperature.

Here, the clothing surface temperature (t _cl ) corresponding to the plurality of parameter values satisfying the thermal comfort index excluding the setting value, the skin exposure area (f _cl ) at the time of wearing and the convective heat transfer rate (h _c ) of the human body surface. Is calculated through Equation 4 below.

(Equation 4)

Here, M is the amount of active heat, W is the external day, t _mrt is the radiation temperature, v is the air flow rate, ta is the room temperature, and I _cl is the clothing insulation coefficient.

According to the above-mentioned problem solving means, the present invention operates the air conditioner under the condition that the energy consumption can be minimized during the case where the patient can satisfy the desired thermal comfort by adjusting the factors that determine the thermal comfort, thereby improving energy efficiency. There is an effect that can be maximized.

In addition, by receiving information such as the amount of wear, amount of activity, the desired warmth and the number of people in the room, and operating the air conditioner in consideration of the input information and the thermal comfort, there is an effect of optimally maintaining the warmth comfort of the room. . In addition, instead of receiving the desired temperature from the occupants, input information such as the amount of wear, the amount of activity, the desired warmth and the number of people in the room, and a touch screen for displaying the indoor environment according to the input information, the operating conditions of the air conditioner Easily enter the effect and can easily display the current indoor environment.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings, with reference to the parts necessary for understanding the operation and operation according to the present invention.

In the following description, specific details of the air conditioner of the present invention and an energy optimization management method through the PMV comfort control are presented to provide a more general understanding of the present invention, without these specific details and also by their modifications. It will be apparent to those skilled in the art that the invention may be readily practiced.

On the other hand, the air conditioner of the present invention and the energy optimization management method through the PMV comfort control is input to the thermal comfort index with the information input through the touch screen input unit as a setting value, the desired thermal comfort in the current thermal comfort index Changing the values of a plurality of variables (elements) affecting the indoor environment to be an index, and after calculating the energy consumption of each of the plurality of operating conditions obtained, the operating conditions corresponding to the minimum energy consumption We propose a technical configuration to control the air conditioner. In general, the thermal comfort index refers to the degree of comfort that a human feels in a thermal state, and according to ISO7730, thermal comfort is defined as "a state of feeling that indicates satisfaction with a thermal environment." The thermal comfort index is an objective indicator, ranging from -5 to +5, most comfortable at '0', and a general comfort range at -0.5 to +0.5.

In the following description, energy will be used to include oil, such as gas, together with power.

1 is an exemplary view for explaining an input unit according to an embodiment of the present invention.

Referring to FIG. 1, an input unit according to the present invention displays screen data according to an input by a touch screen method, and receives a specific area by selecting a specific area in the displayed screen data.

Accordingly, screen data for displaying information on the desired warmth, activity type, wear amount, and the number of people in the room is displayed through the input unit.

First, (a) of FIG. 1 is screen data displaying an indoor environment, and displays the state of elements for determining the current indoor environment. At this time, desired values may be set for each of the elements that determine the indoor environment. The factors that determine the indoor environment are M (active heat), Icl (cloth insulation coefficient), t _air (room temperature), t _mrt (radiation temperature), P _a (humidity partial pressure, water vapor partial pressure) and V _a (air flow). Speed).

FIG. 1 (b) is screen data for inputting a desired warmth feeling. For example, the warmth, normal and coolness can be selected by the occupant in a touch manner.

FIG. 1C illustrates screen data for inputting an activity type, and allows an activity amount of a room occupant to be input. Here, the amount of activity is to measure the amount of CO2 that is generated basically along with the number of occupants below, and the amount of ventilation can be determined through the measured amount of CO2. During operation, a change in the number of occupants in the room or a necessary ventilation amount is determined by measuring an increase rate of CO 2, which will be described later.

FIG. 1D illustrates screen data for inputting the amount of clothes to be worn, and receives information corresponding to clothing worn by the occupant. That is, as the amount of clothing worn by the occupants, for example, one of summer clothes, middle clothes, and winter clothes can be input.

FIG. 1 (e) is screen data for inputting the number of occupants, so that the number of occupants can be input. Accordingly, as shown in (e) of FIG. 1, '+' and '-' are displayed along with a special shape corresponding thereto, so that the occupants can easily enter the number of occupants.

An internal configuration of an air conditioner according to the present invention having an input for performing such a function will be described in detail with reference to the accompanying drawings.

2 is a block diagram of an air conditioner according to an embodiment of the present invention.

Referring to FIG. 2, the air conditioner according to the present invention includes an input unit 11, a sensing unit 13, a driving unit 15, a control unit 20, and the like.

The input unit 11 receives information about driving and setting of the air conditioner. In this case, the input unit 11 displays screen data for input using the touch screen as described above. In addition, since the input unit 11 is a touch screen type, information corresponding to an indoor environment and an external environment may be displayed. In addition, the input unit 11 may display the current state of the air conditioner (fault and steady state information of the air conditioner) related to the operation and setting of the air conditioner.

The detector 13 may include an indoor temperature detector 13-1, an air humidity sensor 13-2, an outside air temperature detector 13-3, an air humidity detector 13-4, and a CO 2 detector ( 13-5) to detect the indoor environment and the external environment by detecting the indoor temperature, humidity, outside temperature, internal and external humidity, the amount of CO2, etc. affecting the indoor environment and the external environment.

The driving unit 15 is provided as a cooling driving unit 15-1, a heating driving unit 15-2, and a humidity control driving unit 15-3 to be driven in at least one of modes for heating, cooling, and humidity control. Thus, the air conditioner is driven so as to achieve desired thermal comfort set by the occupants. Since the detailed description of the driving unit 15 of the air conditioner is generally known by those skilled in the art, the detailed description thereof will be omitted below.

The storage unit 17 stores programs for driving the air conditioner under conditions that can minimize energy consumption among operating conditions for controlling the indoor environment. In addition, the storage unit 17 stores overall programs for driving the air conditioner so that the current thermal comfort index can be the desired thermal comfort index in consideration of the indoor environment and the external environment of the current thermal comfort index.

Although the display unit 19 is not a necessary component, when the input unit 11 is not a touch screen type, the display unit 19 displays information on driving and setting of the air conditioner and the current indoor environment.

The control unit 20 is provided with a calculation unit 21, the comparison unit 23 and the drive control unit 25, the indoor environment in consideration of the external environment so that the current thermal comfort is a desired thermal comfort set through the input unit The driving unit 15 is controlled by selecting a condition capable of minimizing energy consumption among driving conditions for controlling the control. Accordingly, the controller 20 controls the operation of the air conditioner so that the current thermal comfort becomes a desired thermal comfort while minimizing energy consumption.

The internal structure of the above-described control unit 20 will be described in detail with reference to the accompanying drawings.

3 is a block diagram showing the internal configuration of the controller in FIG.

Referring to Figure 3, the control unit 20 according to the present invention calculates the current thermal comfort index, a plurality of variables (elements) affecting the indoor environment to be the desired thermal comfort index from the current thermal comfort index A calculation unit 21 for changing the values of and calculating the energy consumption of each of the plurality of operating conditions obtained; a comparison unit 23 for comparing the magnitude of energy consumption in each case according to the plurality of operating conditions; As a result of the comparison of the comparison unit, a driving control unit 25 is configured to control the driving unit under an operating condition corresponding to the minimum energy consumption.

Here, the calculation unit 21 sets the current thermal comfort index, the input activity amount and the amount of wear according to the indoor environment as a setting value, and the thermal comfort index calculation unit for calculating a plurality of variable values satisfying the desired thermal comfort index ( 21-1) and an energy calculating unit 21-2 for calculating the energy consumption of each of the plurality of operating conditions composed of a combination of the plurality of variable values.

The thermal comfort index calculator 21-1 calculates the current and desired thermal comfort index PMV through Equation 1 below. At this time, the thermal comfort index calculation unit 21-1 calculates the amount of activity and the amount of wear as a setting value (fixed value) during the calculation of the desired thermal comfort index, and a variable value corresponding to a plurality of variables satisfying the thermal comfort index except for the setting value. Are calculated through the following Equation 2.

Where M is the calorific value of activity, I _cl is the clothing insulation coefficient, t _air is the room temperature, t _mrt is the radiation temperature, f _cl is the skin exposure area ratio at the time of wearing, and t _cl is the clothing surface temperature. do.

Thereafter, the thermal comfort index calculation unit 21-1 calculates the thermal comfort index (PMV) through Equation 1 described above, and the remaining four variables except for the fixed amount of activity and the amount of clothing (room temperature (t _air ), Radiation temperature (t _mrt ), humidity partial pressure (P _a ), air flow rate (V _a ) are used to reach the desired thermal comfort index. Therefore, in order to obtain the values of the four parameters described above, the surface temperature of clothing (t _cl ), the skin exposure area (f _cl ) at the time of wearing and the convection heat transfer rate (h _c ) of the human body surface are calculated using Equation 2 below. Calculate

Where M is the active heat, W is the external day, t _mrt is the radiant temperature, v is the air velocity and wind speed, t _a is the room temperature, and I _cl is the clothing insulation coefficient.

Thereafter, the energy calculating unit 21-2 calculates energy consumption of operating conditions consisting of four variables that satisfy the desired thermal comfort index.

Energy calculation has five factors (1. current indoor environmental conditions, 2. current external environmental conditions, 3. desired indoor environment, 4. thermal properties of the building (air-conditioning load, indoor heat capacity, etc.), 5. performance characteristics of the air conditioning system. Can be predicted by

That is, when all five conditions mentioned are known, it is possible to predict the energy used by the air conditioner to condition the room from the current condition to the desired condition. Usually, air conditioner systems have a lot of energy-consuming facilities inside.

These include compression motors of refrigerators, coolant pump motors, boilers and air conditioners.

In reality, all of these factors interact, and the tendency to consume energy in some situations is very complex.

However, in the case of each of these elements, for example, a compression motor of the refrigerator, the tendency of energy consumed according to the outdoor temperature, the desired temperature, etc. appears, which can be referred to as a performance curve.

At this time, experimental performance characteristics of each equipments that ignore the interactions between these equipments are obtained. If so, it is possible to predict the energy consumption of the entire air conditioner system relatively accurately through the performance characteristics at any outdoor and desired temperature.

This method is already widely used in the US for energy diagnosis of buildings, and for producing simulations for estimating building energy consumption. Detailed descriptions thereof will be omitted below.

Next, the comparison unit 23 compares the magnitudes of the energy values according to the energy consumption according to each operation condition from the energy calculation unit 21-2, and compares one operation condition with the minimum energy consumption as a result of the comparison. )

Then, the driving control unit 25 controls the driving unit 15 under the operating conditions consuming the minimum energy, and maintains the indoor air conditioning environment so that the air conditioner can feel the thermal comfort desired by the occupants by the driving unit 15. .

For example, it is assumed that the desired thermal comfort index desired by the occupant is '0', and there are four variable conditions that can satisfy the desired thermal comfort index from case 1 to case 7.

The four variable values according to case 1 are then ta: room temperature 20 degrees, tmrt: radiation temperature 24 degrees, Pa: humidity partial pressure 1.5 kpa, v: air flow velocity 1 m / s.

The four variable values according to case 2 are ta: room temperature 22 degrees, tmrt: radiation temperature 23 degrees, Pa: humidity partial pressure 1 kpa, v: air flow velocity 0.5 m / s.

The four variable values according to case 3 are ta: room temperature 20 degrees, tmrt: radiation temperature 23 degrees, Pa: humidity partial pressure 1 kpa, v: air flow rate 0.5 m / s.

Hereinafter, it is assumed that the case 4 to case 7 has four specific variable values, and the energy consumption for each case is calculated.

As a result of the energy consumption calculation, if the energy consumption of case 1 is 30 kWh, the case 2 energy consumption is 22 kWh, the case 3 energy consumption is 33 kWh, ‥‥, case 7 and the energy consumption is 23 kWh, the comparator 23 is case 1 To select the operating conditions that consume the least of the energy consumption of case 7.

That is, in order to control the operation of the air conditioner under the operation condition of case 2, when the comparator 23 transmits the operation condition of case 2 to the drive control unit 25 of the next stage, the national moving control unit 25 transmits. The driving unit 15 is controlled according to the operating conditions.

As another example, it is assumed that there are indoor conditions that are not cooled at all in summer, and that the current indoor and outdoor conditions are as shown in Table 1 below.

inside Outside air tair [℃] 33 33 Pa [pa] 1000 1000 v [m / s] 0 0.2 tmrt [℃] 25 35

And, the occupant is 60 [w / m ² ] (when sitting comfortably) and the amount of clothing (Icl) is 0.065 m2 ℃ / W (when wearing thin socks, shoes, thin long pants or long-sleeved shirt). When input, four variables satisfying the thermal comfort index '0', that is, tair, tmrt, Pa, and V values are obtained by using Equation 1 and Equation 2, as shown in Table 2 below.

case 1 case 2 case 3 case 4 tair [℃] 26.2 27.5 29 29.4 Pa [pa] 2500 1500 500 1500 v [m / s] 0 0 0 0.3 tmrt [℃] 25 25 25 25

If the current cooling is performed in these operating conditions, first of all, in case 1, the temperature difference and the humidity difference are not significant. The most appropriate one can be said to be case 4, for two reasons.

Changes in humidity and temperature are assumed to be small, and airflow speeds of 0.3 m / s can be easily achieved if there is a device that can generate wind, such as a fan. So wind energy is much less than energy that changes temperature and humidity, so case 4 consumes the least energy.

If you do not have a fan, you have to choose between case 2 and case 3. In this case, case 2 consumes less energy.

4 is a flowchart illustrating an energy optimization management method through PMV comfort control of an air conditioner according to an exemplary embodiment of the present invention.

Referring to FIG. 4, first, the control unit 20 estimates the amount of CO 2 generated according to the number of occupants and the amount of activity of the occupants (S401), determines the required ventilation amount (Q1), and ventilates (S403) and measures the CO2 concentration (S405). ).

Then, the control unit 20 calculates the CO2 concentration increase and decrease rate (S407), and re-estimates the number of occupants according to the calculated increase and decrease rate (S409). The required ventilation amount Q2 is re-determined (S411). The number of occupants reestimated here is used in step 427 (S427) to be described later.

If the difference between the required ventilation amount Q1 and the re-determined required ventilation amount Q2 begins to increase to some extent, the control unit 20 replaces the ventilation amount with the re-determined necessary ventilation amount Q2 (S413).

At the same time as performing the above-described process (S401 ~ S413), the control unit 20 measures the room temperature, humidity, air flow rate (S415), and receives the amount of wear, activity, desired thermal comfort, the number of people in the room ( S417). At this time, the control unit 20 estimates the radiation temperature through the solar radiation value according to the weather forecast and the weather (S419). This is to optimize the thermal comfort felt by the occupants due to the precise control of the air conditioner and the precise control of the air conditioner.

Thereafter, the controller 20 calculates the current thermal comfort index in consideration of the above-described step 417 (S417) and step 419 (S419) (S421). Here, the current thermal comfort index is calculated by the above-described Equations 1 and 2, and the amount of activity input from the occupant of the variable of Equation 1 is the amount of active heat (M) of Equation 1, and the amount of wear input from the occupant is The clothing insulation coefficient Icl of Equation 1 is input. Thus, the calorific value M and the clothing insulation coefficient Icl become fixed values.

The control unit 20 is a room temperature, humidity, airflow speed, radiant temperature conditions required for satisfying the desired thermal comfort with fixed values of active heat (M) and clothing insulation coefficient (Icl) input from the patient in Equation 1 ( Range, the number of cases) is calculated (S423). That is, the number of cases of operating conditions that satisfy the desired thermal comfort index is calculated by considering the remaining four variables (indoor temperature, humidity, air velocity, and radiant temperature) except for the values (information) of the variables input from the occupants. .

Then, the controller 20 selects an operating condition that can consume the least amount of energy in consideration of indoor and outdoor temperature and humidity and heating and cooling loads to create a desired comfort level, thereby allowing four corresponding variables (indoor temperature, humidity, airflow). Speed, radiation temperature) (S425). At this time, the control unit 20 calculates the energy consumption according to each operating condition, compares the magnitude of the calculated energy consumption, and obtains the operating conditions using the minimum energy as a result of the comparison, the four variables ( Room temperature, humidity, air velocity, and radiation temperature) can be obtained.

Thereafter, the control unit 20 controls the air conditioner to operate by determining the air supply temperature, the air supply amount, the dehumidification, and the humidification amount necessary to satisfy the four variable values, thereby operating the air conditioner in response to the desired thermal comfort index ( S427-S431).

Meanwhile, in the detailed description of the present invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the scope of the following claims, but also by the equivalents of the claims.

1 is an exemplary view for explaining an input unit according to an embodiment of the present invention.

2 is a block diagram of an air conditioner according to an embodiment of the present invention.

3 is a configuration diagram showing the internal configuration of the control unit in FIG.

Figure 4 is a flow chart showing a method of energy optimization management through the PMV comfort control of the air conditioner according to an embodiment of the present invention.

Claims (15)

In the air conditioner which controls the operation of the air conditioner in consideration of the desired thermal comfort, An input unit for receiving information on driving and setting of the air conditioner; A driving unit for driving in a heating and cooling mode; A sensing unit sensing an indoor environment and an external environment; And And a controller configured to control the driving unit by selecting a condition for minimizing energy consumption among operating conditions for adjusting the indoor environment in consideration of the external environment such that the current thermal comfort becomes the desired thermal comfort set through the input unit. Air conditioner characterized in that. The method of claim 1, wherein the driving unit, A cooling driving unit driving in the cooling mode; And Including a heating drive unit for driving in the heating mode, And at least one of a cooling driving unit and a heating driving unit under a condition capable of minimizing the energy consumption under the control of the controller. The method of claim 1, wherein the control unit, Calculate a current thermal comfort index, change values of a plurality of variables (elements) affecting an indoor environment to be the desired thermal comfort index from the current thermal comfort index, and obtain energy of each of a plurality of operating conditions obtained A calculating unit calculating a consumption amount; A comparison unit for comparing the magnitude of energy consumption in each case according to the plurality of operation conditions and outputting a driving condition consuming minimum energy as a result of the comparison; And And a driving control unit for controlling the driving unit in an operating condition consuming the minimum energy. The method of claim 3, wherein the input unit, An air conditioner which displays the current indoor environment as a touch screen. The method of claim 4, wherein the input unit, The air conditioner, characterized in that the touch screen receives the desired warmth, activity amount, the amount of wear and the number of people in the touch method, and displays the indoor environment. The method of claim 3, wherein the calculation unit, According to the indoor environment, a heat value for calculating a plurality of variable values satisfying the desired heat comfort index and setting an active heat amount and a clothing insulation coefficient corresponding to a current heat comfort index and an input amount of activity and clothing amount Comfort index calculation unit; And And an energy calculator configured to calculate an energy consumption amount of each of a plurality of operating conditions including a combination of the plurality of variable values. The method of claim 6, wherein the thermal comfort index calculation unit, Equation 1 below is used to calculate the current and desired thermal comfort index (PMV), When calculating the desired thermal comfort index, the calorific value of the activity and clothing insulation coefficient as a setting value (fixed value), and calculates the variable values corresponding to a plurality of variables satisfying the thermal comfort index except the setting value Air conditioning. (Equation 1)

Where M is the calorific value of activity, I _cl is the clothing insulation coefficient, t _air is the room temperature, t _mrt is the radiation temperature, f _cl is the skin exposure area ratio at the time of wearing, and t _cl is the clothing surface It means temperature. The method of claim 7, wherein the thermal comfort index calculation unit, An air conditioner comprising calculating the garment surface temperature (t _cl ), the skin exposure area (f _cl ) and the convection heat transfer rate (h _c ) of the human body surface through the following equation (2). (Equation 2)

Where M is the heat of activity, W is the external day, t _mrt is the radiation temperature, v is the air flow rate, ta is the room temperature, the I _cl is the clothing insulation coefficient. The method of claim 7, wherein the variable, Air conditioner, characterized in that the room temperature (t _a ), the radiation temperature (t _mrt ), the humidity partial pressure (Pa) and the air flow rate (V). In the method of controlling the operation of the air conditioner in consideration of the desired thermal comfort, Sensing an indoor environment and an external environment; Receiving information regarding driving and setting of the air conditioner; And According to the driving and setting information of the input air conditioner, a condition for minimizing energy consumption among operating conditions in which the indoor environment is adjusted in consideration of the external environment so as to achieve a desired thermal comfort, in which the current thermal comfort is set. And selecting and controlling the driving of the air conditioner. The method of claim 10, wherein the sensing of the indoor environment and the external environment comprises: Sensing room temperature; Sensing humidity; Sensing outside temperature; And Energy optimization management method through the PMV comfortable control of the air conditioner comprising the step of sensing the humidity of the outside air. The method of claim 10, wherein the receiving of the driving and setting information comprises: Energy optimization management method through the PMV comfortable control of the air conditioner, characterized in that the input information on the amount of wear, activity, desired thermal comfort index and the number of occupants. The method of claim 10, wherein controlling the driving of the air conditioner comprises: Calculating a plurality of variable values satisfying the desired thermal comfort index according to the indoor environment as a setting value of the current thermal comfort index, an activity calorie corresponding to an input amount of activity and a clothing amount, and a clothing insulation coefficient; ; And And calculating energy consumption of each of a plurality of operating conditions including a combination of the plurality of variable values. The method of claim 13, wherein the calculating of the plurality of variable values comprises: The desired thermal comfort index is calculated through Equation 3 below, and the calorific value of activity and clothing insulation coefficient are set as values, and the variable values corresponding to a plurality of variables satisfying the thermal comfort index except for the setting value are calculated. Energy optimization management method through the PMV comfortable control of the air conditioner, characterized in that. (Equation 3)

Where M is the calorific value of activity, I _cl is the clothing insulation coefficient, t _air is the room temperature, t _mrt is the radiation temperature, f _cl is the skin exposure area ratio at the time of wearing, and t _cl is the clothing surface It means temperature. The clothing surface temperature (t _cl ) corresponding to the plurality of parameter values satisfying the thermal comfort index excluding the setting value, the skin exposure area (f _cl ) at the time of wearing and the convective heat transfer rate of the human surface. (h _c ) is the energy optimization management method through the PMV comfort control of the air conditioner, characterized in that calculated through the equation (4). (Equation 4)

Where M is the heat of activity, W is the external day, t _mrt is the radiation temperature, v is the air flow rate, ta is the room temperature, the I _cl is the clothing insulation coefficient.

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