JPH0886489A - Air conditioning system - Google Patents

Abstract

PURPOSE: To obtain an air conditioning system making it possible to obtain a feeling of high comfortableness quickly relatively by a method wherein an indoor heat exchange set temperature at which a comfortable feeling index is made neutral substantially is computed from an indoor set temperature and an operating frequency of a compressor and the number of revolutions of an indoor fan are controlled on the basis of the computed indoor heat exchange set temperature and the indoor set temperature. CONSTITUTION: A comfortable feeling index is calculated by a prescribed formula from a louver angle LV, a fan air quantity W, an outdoor air temperature To, humidity, an indoor heat exchange temperature Te and an intake temperature, i.e., an indoor temperature Ta, which show an input state of environment. In order to bring about a state wherein the comfortable feeling index shows comfortableness (neutrality) substantially, an indoor temperature set value, i.e., an intake temperature set value, is set by a remote control of an air conditioning system or the like, the outdoor air temperature To is detected by an outdoor air temperature detecting sensor and an indoor heat exchange temperature set value at the time of being stable is determined on the basis of the intake temperature set value and the outdoor air temperature To. A compressor and an indoor fan are controlled to be driven with the determined intake temperature set value and indoor heat exchange temperature set value made targets.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an air conditioner for performing air conditioning control using a comfort index (.GAMMA.) So that the user can perform air conditioning control with a comfortable feeling.

[0002]

2. Description of the Related Art In a conventional air conditioner, an indoor set temperature set by a user is set as a target value, and air conditioning is controlled so that the indoor temperature matches the set temperature. Therefore, in such a conventional air conditioner, since the indoor temperature, the radiant temperature, the indoor air flow, the amount of activity of the user, and the amount of clothing are not taken into consideration, it is possible to provide an air conditioner that sufficiently satisfies the comfort of the user. It was not obtained.

Therefore, an air conditioner disclosed in Japanese Patent Laid-Open No. 5-60360 has been proposed as an air conditioner for solving such a problem. This air conditioning is
The indoor temperature, humidity, radiant temperature, air flow, activity amount and clothing amount of the person in the room are detected, PMV which is a comfort index is calculated based on these detected values, and the comfort index is within a predetermined comfort zone. At least one of the compressor and the air volume is controlled so that the air conditioner enters, and thereby the comfort of the person in the room is satisfied.

[0004]

DISCLOSURE OF THE INVENTION Problems to be Solved by the Invention
The air conditioner disclosed in Japanese Patent No. 0360 discloses a compressor by detecting each physical quantity, calculating a comfort index PMV, and comparing the calculated comfort index with a preset value. The amount of operation of the fan and fan is determined, and the comfort index is controlled so that it falls within a predetermined comfort zone.Therefore, it takes a lot of time to obtain a sufficient feeling of comfort. is there.

The present invention has been made in view of the above,
It is an object of the invention to provide an air conditioner that can relatively quickly obtain a high level of comfort.

[0006]

In order to achieve the above object, the air conditioner of the present invention is an air conditioner capable of variably controlling the operating frequency of a compressor and the rotation speed of an indoor fan. A calculation means for calculating an indoor heat exchange set temperature from the indoor set temperature, in which a comfortable feeling index (Γ) determined based on the indoor fan air flow rate, the outside air temperature, the humidity, the indoor heat exchange temperature, and the indoor temperature is almost neutral. The gist of the present invention is to have control means for controlling the operating frequency of the compressor and the rotation speed of the indoor fan based on the indoor heat exchange set temperature calculated by the calculation means and the indoor set temperature.

Further, the air conditioner of the present invention has an estimating means for estimating the blown air temperature from the indoor heat exchange temperature and the indoor fan air flow rate, with the indoor heat exchange set temperature being the set temperature of the blown air. To do.

Further, in the air conditioner of the present invention, when the result of calculating the indoor heat exchange set temperature by the calculating means is that there is no solution, the comfort index (Γ) is adjusted up and down to obtain at least one solution. The gist is to have an adjusting means to obtain.

The air conditioner of the present invention comprises a detecting means for detecting an environmental condition when the air conditioning is stable, and a learning means for learning the heat passage rate of the user's room based on the environmental condition detected by the detecting means. Having it is the gist.

[0010] The air conditioning apparatus of the present invention, the learning means a quantity of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient Q = η (W) of _{ρc p (Tc-Ta) ·} W calculated by using the relational expression, wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
It is a summary that Tc is the indoor heat exchange temperature, Ta is the suction temperature, and W is the indoor fan air volume.

Furthermore, the air conditioner of the present invention, the learning means a quantity of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient Q = g (Ta, To) · Hz · W β relations Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
Is a constant.

In the air conditioner of the present invention, the heat quantity Q given to the space by the air conditioner in the learning of the heat passage rate by the learning means is expressed by the following equation: Q = cop (W, Ta, To) · Pin Calculated, where cop (W,
(Ta, To) is a coefficient of performance, W is an indoor fan air volume, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power.

The air conditioner of the present invention is an air conditioner capable of variably controlling the operating frequency of the compressor and the rotation speed of the indoor fan, and is set by the user, and the louver angle, the indoor fan air volume, and the outside air. Temperature, humidity, indoor heat exchange temperature, determining means for determining the indoor set temperature and the indoor heat exchange set temperature from the comfort index (Γ) determined based on the indoor temperature, and the set temperature determined by the determining means The control means for controlling the operating frequency of the compressor and the rotation speed of the indoor fan based on the above.

Further, the air conditioner of the present invention is characterized in that the determining means has means for calculating the indoor set temperature and the indoor heat exchange set temperature by using an optimum solution search algorithm including a genetic algorithm.

The air conditioner of the present invention comprises a detecting means for detecting an environmental condition when the air conditioning is stable, and a learning means for learning the heat transmission rate of the user's room based on the environmental condition detected by the detecting means. Having it is the gist.

[0016] The air conditioning apparatus of the present invention, the learning means a quantity of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient Q = η (W) of _{ρc p (Tc-Ta) ·} W calculated by using the relational expression, wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
It is a summary that Tc is the indoor heat exchange temperature, Ta is the suction temperature, and W is the indoor fan air volume.

Furthermore, the air conditioner of the present invention, the learning means a quantity of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient Q = g (Ta, To) · Hz · W β relations Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
Is a constant.

In the air conditioner of the present invention, the heat quantity Q given to the space by the air conditioner in the learning of the heat passage rate by the learning means is expressed by the relational expression Q = cop (W, Ta, To) · Pin. Calculated, where cop (W,
(Ta, To) is a coefficient of performance, W is an indoor fan air volume, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power.

[0019]

In the air conditioner of the present invention, the indoor heat exchange set temperature at which the comfort index (Γ) is approximately neutral is calculated from the indoor set temperature, and the compressor is calculated based on the indoor heat exchange set temperature and the indoor set temperature. It controls the operating frequency and the rotation speed of the indoor fan.

Further, in the air conditioner of the present invention, the indoor heat exchange set temperature is set as the set temperature of the blown air, and the blown air temperature is estimated from the indoor heat exchange temperature and the indoor fan air volume.

Further, in the air conditioner of the present invention, when the result of calculating the indoor heat exchange set temperature is that there is no solution, the comfort index (Γ) is adjusted up and down to obtain at least one solution.

In the air conditioner of the present invention, the environmental condition when air conditioning is stable is detected, and the heat transfer rate of the user's room is learned based on this environmental condition.

Further, the air conditioning apparatus of the present invention, using the amount of heat Q given to the air conditioning apparatus is space in the learning of the heat transfer coefficient _{Q = η (W) ρc p} (Tc-Ta) · W relationship calculated Te, wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
Tc is the indoor heat exchange temperature, Ta is the suction temperature, and W is the indoor fan air volume.

Furthermore, the air conditioning apparatus of the present invention, calculates the amount of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient with Q = g (Ta, To) · Hz · W β relations Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
Is a constant.

In the air conditioner of the present invention, the amount of heat Q given to the space by the air conditioner in the learning of the heat passage rate is calculated by using the relational expression of Q = cop (W, Ta, To) · Pin. Where cop (W,
Ta, To) is a coefficient of performance, W is an indoor fan air volume, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power.

Further, in the air conditioner of the present invention, the indoor preset temperature and the indoor heat exchange preset temperature are determined from the comfort index (Γ) set by the user, and the compressor is based on the determined preset temperature. It controls the operating frequency and the rotation speed of the indoor fan.

Further, in the air conditioner of the present invention, the indoor set temperature and the indoor heat exchange set temperature are calculated by using the optimum solution search algorithm including the genetic algorithm.

In the air conditioner of the present invention, the environmental condition when the air conditioning is stable is detected, and the heat transmission rate of the room of the user is learned based on the detected environmental condition.

Further, the air conditioning apparatus of the present invention, using the amount of heat Q given to the air conditioning apparatus is space in the learning of the heat transfer coefficient _{Q = η (W) ρc p} (Tc-Ta) · W relationship calculated Te, wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
Tc is the indoor heat exchange temperature, Ta is the suction temperature, and W is the indoor fan air volume.

Furthermore, the air conditioning apparatus of the present invention, calculates the amount of heat Q that gives the air conditioner is in a space in the learning of the heat transfer coefficient with Q = g (Ta, To) · Hz · W β relations Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
Is a constant.

In the air conditioner of the present invention, the amount of heat Q given to the space by the air conditioner in the learning of the heat passage rate is calculated by using the relational expression of Q = cop (W, Ta, To) · Pin, where Where cop (W,
Ta, To) is a coefficient of performance, W is an indoor fan air volume, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power.

[0032]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing a model in a stationary state when the air conditioner according to one embodiment of the present invention is set indoors. In the figure, the air conditioner 1 is mounted above the right wall of the room, and the heat quantity Qin is supplied from the air conditioner 1 toward almost the center of the indoor space together with the air volume W of the indoor fan as indicated by the thick arrow. Has been done. In this case, the indoor temperature, that is, the intake temperature to the air conditioner 1, is Ta, the indoor heat exchange temperature of the air conditioner 1 is Tc, the outdoor air temperature is To, the heat transfer coefficient of the room is Kc, and the air conditioner 1 is Has an indoor heat exchange efficiency of η (W) and the amount of heat flowing out of the room is Qout.

The amount of heat Qin supplied from the air conditioner 1 to the indoor space is calculated by the following equation.

[0035]

[Number 1] _{Qin = η (W) ρc p} (Tc-Ta) · W ... (1) where, [rho is the air density, the c _p is the specific heat at constant pressure of the air.

The heat quantity Qout flowing out of the air conditioner 1 to the outside is calculated by the following equation.

Qout = Kc (Ta−To) (2) Since it is considered that a thermal equilibrium state exists in a constant state, Qin = Qout (3), and equations (1) and (2) are given by (3). Substituting into the equation and solving for the fan air volume W, the following equation is obtained.

[0038]

[Number 2] W = {Kc (Ta-To )} / {δ (Tc-Ta)} ... (4) where, [delta] = a ζρc _p, the ζ indoor heat exchange efficiency η
It is a result of calculating (W) for the fan air flow rate W.

On the other hand, it is considered that the output Qcycle of the refrigeration cycle can be approximated by the following equation.

[0040]

## EQU00003 ## Qcycle = f (Ta, To, Hz, W) (5) where Hz is the frequency of the compressor.

From the empirical rule of monotonically increasing with respect to the compressor frequency Hz and the fan air flow W, the output Qcycle of the refrigeration cycle is given by the following equation.

[0042]

[Number 4] Qcycle = g (Ta, To) · Hz · W β ... (6) where, β is a constant.

Therefore, the output Qcycle of the refrigeration cycle can be approximated as shown in FIG.

Further, since the steady state is considered, the output Qcycle of the refrigeration cycle is given by the following equation.

Qcycle = Qin = Qout (7) Solving for the compressor frequency Hz from the equations (1), (2) and (5) based on the equation (7), the compressor frequency Hz is expressed by the following equation. become.

[0046]

Hz = {Kc (Ta−To) / g (Ta, To)} · {Kc (Ta−To) / δ (Tc−Ta)} − ^β (8) Therefore, the formula (4) and In the equation (8), if the suction temperature Ta and the indoor heat exchange temperature Tc, that is, the stable intake temperature set value Tsc and the indoor heat exchange temperature set value Tcc are determined, the compressor frequency Hz and the fan air volume W can be calculated. You can

PMV (Predicted Mean Vote) is mainly used as an index for evaluating the comfort of air conditioning, but in the present embodiment, the comfortable feeling index (Γ) is set with reference to this PMV. . This is an index for obtaining a feeling of comfort from the external conditions that the air conditioner can know and the operating state of the air conditioner, where 0 is comfortable (neutral), + is hot,
− Represents that it is cold.

Now, the input environmental conditions are the louver angle LV, the fan air volume W, the outside air temperature To, the humidity Ha, and the indoor heat exchange temperature T.
If c is the suction temperature, that is, room temperature Ta, the comfort index Γ can be calculated by the following equation.

[0049]

[Formula 6] Γ = Γ neuro (LV, W, To, Ha, Tc, Ta) (9) In this formula, the outside air temperature To cannot be controlled by the air conditioner 1, and the louver angle LV and the humidity Ha are Considering that the temperature is a definite value due to cooling and heating, and the room temperature, that is, the suction temperature Ta is given as the suction temperature set value Tsc, the equation (9) becomes the following equation.

Γ = Γ neuro (W, Tc) (10) Therefore, in the comfort index Γ represented in this way, the comfortable feeling is almost comfortable (neutral), that is, Γ≈0 (11) In order to do so, it is necessary to satisfy the following equation.

Γ neuro (W, Tc) ≈0 (12) From the above description, the ideal stable indoor heat exchange temperature set value Tcc at which Γ = 0 is obtained by the equations (4) and (12). It becomes a solution of simultaneous equations.

Next, the method of deriving the indoor heat exchange temperature set value Tcc in the steady state where Γ = 0 under the conditions shown in FIG. 3 will be specifically described. In FIG. 3, the louver angle LV [°]
= 45, outside air temperature To [° C] = 7, humidity Ha [% RH]
= 60, suction temperature Ta (suction temperature set value Tsc)
[° C.] = 25 and heat transfer rate Kc [W / ° C.] = 60.

First, the equation (1) can be approximated as shown in FIG. 4, and since δ can be calculated in the equation (4),
Equation (4) can be embodied.

On the other hand, the value of the comfort index Γ is calculated for the condition of FIG.

## EQU7 ## A linear approximation is performed on the assumption that Γ '= a * W + b * Tc + c * W * Tc + d (13).

The results of the equations (4) and (13) that can be embodied are shown in FIG. The equation (13) shown in FIG. 5 is a relational equation in the case of Γ ′ = 0, and at this time, the intersection of each curve is a solution. Using this solution, the compressor frequency Hz can be calculated from the equation (8).

Under the conditions shown in FIG. 3, the values of the compressor frequency Hz, the indoor heat exchange temperature Tc, and the fan air volume W are as follows.

[0057]

(8) (Hz, Tc, W) = {(23.8 [Hz], 5
0.9 [° C.], 124.2 [m ³ / h]), (20.9
[Hz], 36.3 [° C.], 286.0 [m ³ / h])} Therefore, it suffices to select a solution that matches the actual condition.

However, in the simultaneous equations of the equations (4) and (13), there is a case where there is no solution as shown in FIG. 6, that is, there is no intersection. In such a case, the comfort index Γ At least one solution can be obtained by adjusting the value of ‘up’ and ‘down’ so that comfort is not impaired.

The above processing will be described with reference to the flowchart shown in FIG.

In FIG. 7, the user first sets the room temperature set value, that is, the intake temperature set value Tsc by the remote controller of the air conditioner (step 710), and then the outside air temperature To is detected by the outside air temperature detection sensor. (Step 7
20). When the suction temperature set value Tsc and the outside air temperature To are determined, the stable indoor heat exchange temperature set value Tcc can be determined from the equations (4) and (12) (step 73).
0).

Therefore, it is judged whether or not the fan air volume W can be controlled from the determined indoor heat exchange temperature set value Tcc (step 740). If the fan air volume W is not controllable, the approximate value Γ ′ of the comfort index Γ is changed (step 750), the process returns to step 730, and the same processing is repeated. When the fan air volume W is controllable, the routine proceeds to step 760, where it is judged from the equation (8) whether or not the compressor frequency Hz can be controlled. If the compressor frequency Hz is not controllable, the approximate value Γ ′ of the comfort index Γ is similarly changed (step 750), the process returns to step 730, and the same processing is repeated.

When the compressor frequency Hz is controllable, the compressor and the indoor fan are drive-controlled with the set intake temperature set value Tsc and indoor heat exchange temperature set value Tcc as targets (step 770). As a result, the air conditioning control is performed so that the comfort index is maintained in a substantially comfortable (neutral) state.

In the above embodiment, the method of mainly controlling the indoor heat exchange temperature Tc has been described, but since the user is more sensitive to the temperature of the air blown out from the air conditioner, the indoor heat exchange temperature setting The blown air temperature may be used instead of the value Tcc, and the blown air temperature may be measured or estimated from the indoor heat exchange temperature Tc and the fan air volume W. In this case, in general, the blown air temperature increases as the indoor heat exchange temperature Tc increases, and conversely decreases as the fan air volume W increases.

Further, the heat transfer coefficient K of the room expressed by the equation (2)
Since c changes depending on the user's room,
By learning at the stage of being installed in a room, it becomes possible to perform control that is more suitable for that room. That is, from the relationship of Kc = Q / (Ta-Tc) (14), it may be calculated from the temperature information when the steady state is obtained under the operating condition.

As a method of calculating the heat quantity Q, there is the following method.

[0066]

[Equation 9] _{Q = η (W) ρc p} (Tc-Ta) · W ... (15) Q = g (Ta, To) · Hz · W β ... (16) Q = cop (W, Ta, To)・ Pin (17) where cop (W, Ta, To) is a coefficient of performance,
Pin is the input power.

Since the surrounding environment changes depending on the driving conditions, it is preferable to repeat this learning.

In the above embodiment, when the air conditioner is started up, the stable indoor heat exchange temperature set value Tcc that satisfies the comfort is calculated from the indoor set temperature of the user, that is, the suction temperature set value Tsc. Therefore, the compressor and indoor fan air flow rate W should be set so that each temperature reaches each set value quickly.
Can be controlled. Therefore, the air conditioner of the present embodiment can realize an air conditioner with a quick start-up and high comfort, as shown by the solid line, as compared with the conventional system shown by the dotted line in FIG. Further, since the operation amounts of the compressor and the indoor fan are optimally controlled and total capacity control is performed, energy saving operation can be realized.

FIG. 9 is an explanatory view showing another embodiment of the present invention.

In the above-described embodiment, the user determines the indoor set temperature, that is, the intake temperature set value Tsc, inputs it to the air conditioner, and considers the comfort feeling based on the value, and the indoor heat exchange temperature. Although the set value Tcc has been determined, in the embodiment of FIG. 9, the suction temperature set value Tsc and the indoor heat exchange temperature set value Tcc are determined according to the comfort index Γset set by the user, and this set value is set. The compressor frequency Hz and the indoor fan rotation speed, that is, the fan air volume W are controlled based on the values.

In this case, the unknowns are the suction temperature Ta, the indoor heat exchange temperature Tc, the fan air volume W, and the compressor frequency Hz, and various relational expressions considered up to now, namely,

Γ = Γ neuro (LV, W, To, Ha, Tc, Ta) (18) W = {Kc (Ta-To)} / {δ (Tc-Ta)} (19) Hz = { Kc (Ta-To) / g (Ta, To)}-{Kc (Ta-To) / δ (Tc-Ta)} ^-β (20) It is difficult to easily obtain a solution even if integrated. Is. Therefore, in this embodiment, the solution is obtained by the deductive method. As an example of this, FIG. 9 is a diagrammatic representation of a method of deriving an optimal solution search algorithm using a typical Genetic Algorithm (GA).

As shown by the necessary condition of comfort in FIG. 9, considering the Γneuro of the equation (18) as an index of comfort, the louver angle LV, the outside air temperature To, and the humidity Ha are estimated in the neural network for estimating the comfort feeling Γ. , Suction temperature T
a, the indoor heat exchange temperature Tc, and the fan air volume W are input, and the evaluation function J1 is set so that the comfort index Γneuro becomes equal to the comfort index Γset set by the user, and the input condition at the time of stability: suction temperature Ta ( Suction temperature set value Ts
c), indoor heat exchange temperature Tc (indoor heat exchange temperature set value Tcc),
A combination of the fan air volume W and the compressor frequency Hz will be obtained. Therefore, the suction temperature Ta and the indoor heat exchange temperature Tc
Is a gene, and the combination of each value is the genetic algorithm GA
To search by. The calculation formulas for calculating the fan air flow rate W and the compressor frequency Hz are formulas (19) and (2
0) expression.

As shown in FIG. 9, the evaluation function J1 is Γset = Γneuro ... (21), and the comfort index Γset is a comfort preference set by the user, that is, a comfort comfort setting value, The user's target comfort level and the comfort level estimation output must match.

Further, as a necessary condition for being controllable, as shown in FIG. 9, the fan air volume W of the equation (19) which is an approximate expression of the air conditioner (air conditioner) capacity (air volume) is expressed by the following equation. In addition, the evaluation function J2, which is between the minimum value W [min] of the indoor fan air flow and the maximum value W [max] of the indoor fan air flow, is satisfied.

W [min] ≦ W ≦ W [max] (22) That is, the indoor fan air volume W must be within the operable air volume range.

Further, as another necessary condition for the controllability, the compressor frequency Hz of the equation (20), which is an approximate expression of the air conditioner capacity (compressor frequency), is shown in the following equation as shown in FIG. Thus, the evaluation function J3 that is between the minimum value Hz [min] of the compressor frequency and the maximum value Hz [max] of the compressor frequency is satisfied.

Hz [min] ≤ Hz ≤ Hz [max] (23) That is, the compressor frequency Hz must be within the operable frequency range.

Further, as a design condition, as shown in FIG. 9, an evaluation function J shown by the following equation from the energy saving coefficient a and the silent coefficient b.
4 is satisfied.

[0079]

[Equation 11] J4 = a · Hz [nom] + b · W [nom] (24) Here, [nom] indicates a normalized value, and is as follows.

Hz [nom] = (Hz [max] −Hz) / Hz [max] W [nom] = (W [max] −W) / W [max] Considering energy saving performance and silent performance, the compressor Frequency Hz
The fan air volume W is preferably small, and the larger the evaluation function that combines them, the higher the evaluation value.

When the relation between the energy saving coefficient a and the silent coefficient b is expressed by the following equation, b = 1−a (0 ≦ a ≦ 1) (25) When the energy saving coefficient a is 1, compression is performed. When the machine frequency Hz is emphasized and the energy saving coefficient a is 0, the fan air volume W is emphasized.

Then, as shown in FIG. 9, the intake temperature Ta and the indoor heat exchange temperature Tc are used as genes, and a combination of each value is searched by the genetic algorithm GA, and the searched intake temperature Ta and indoor heat exchange temperature are searched. Tc is replaced with the suction temperature set value Tsc and the indoor heat exchange temperature set value Tcc for control.

Also in this embodiment, it is possible to learn the value of the heat transmission rate Kc shown in the equation (2) as in the case of the above embodiment, and this method is as described above.

In this embodiment, since the air conditioner is controlled so as to match the comfort of the user, it is possible to realize air conditioning with high comfort. On the other hand, by using the optimization search algorithm, user comfort,
Further, it is possible to determine each set value that satisfies the energy saving property of the device, the noise characteristic, and the like, and it is possible to eliminate the troublesomeness caused by humans.

[0085]

As described above, according to the present invention,
Calculates the indoor heat exchange set temperature that makes the comfort index (Γ) almost neutral from the indoor set temperature, and controls the operating frequency of the compressor and the rotation speed of the indoor fan based on the indoor heat exchange set temperature and the indoor set temperature. Therefore, each temperature can be controlled so as to reach each set value quickly, and high comfort can be achieved. Further, since the operation amounts of the compressor and the indoor fan are optimally controlled and total capacity control is performed, energy saving operation can be realized.

Further, according to the present invention, the indoor preset temperature and the indoor heat exchange preset temperature are determined from the comfort index (Γ) set by the user, and the compressor operation is performed based on the determined preset temperature. Since the frequency and the rotation speed of the indoor fan are controlled, high comfort can be achieved.

[Brief description of drawings]

FIG. 1 is a diagram showing a model in a steady state when an air conditioner according to an embodiment of the present invention is set indoors.

FIG. 2 is a diagram that approximates an output Qcycle of a refrigeration cycle of an air conditioner.

FIG. 3 is a diagram showing conditions of respective parameters when deriving the indoor heat exchange temperature set value Tcc in a steady state where the comfort index Γ = 0.

FIG. 4 is a diagram that approximates the heat quantity Qin shown in equation (1).

FIG. 5 shows the indoor heat exchange temperature Tc on the abscissa when the curve showing the fan air flow W of the equation (4) and the approximate value Γ ′ of the comfort index of the equation (13) has an intersection, 6 is a graph in which the fan air flow rate W is plotted on the axis.

FIG. 6 shows the indoor heat exchange temperature Tc on the horizontal axis when there is no intersection where the curve indicating the fan airflow W of the equation (4) and the approximate value Γ ′ of the comfort index of the equation (13) is a solution, and Fan air volume W on the shaft
It is the graph which took.

FIG. 7 is a flowchart showing the operation of the embodiment shown in FIG.

FIG. 8 is a diagram showing a comparison of rising of comfort according to the embodiment of the present invention and conventional comfort.

FIG. 9 is an explanatory diagram showing another embodiment of the present invention.

[Explanation of symbols]

 1 Air conditioner

Claims (13)

[Claims] 1. An air conditioner capable of variably controlling an operating frequency of a compressor and a rotation speed of an indoor fan, which is based on a louver angle, an indoor fan air volume, an outside air temperature, a humidity, an indoor heat exchange temperature, and an indoor temperature. Based on the calculation means for calculating the indoor heat exchange set temperature at which the determined comfort index (Γ) is approximately neutral from the indoor set temperature, and the indoor heat exchange set temperature and the indoor set temperature calculated by the arithmetic means An air conditioner comprising: a control unit that controls the operating frequency of the compressor and the rotation speed of an indoor fan. 2. The air conditioner according to claim 1, further comprising: an estimation unit that estimates the temperature of the indoor heat exchange as a set temperature of the blown air and estimates the temperature of the blown air from the indoor heat exchange temperature and the indoor fan air flow rate. apparatus. 3. When the result of calculating the indoor heat exchange set temperature by the calculating means is that there is no solution, it has adjusting means for adjusting the comfort index (Γ) up and down to obtain at least one solution. The air conditioner according to claim 1. 4. A detection means for detecting an environmental condition when the air conditioning is stable, and a learning means for learning a heat transmission rate of a room of a user based on the environmental condition detected by the detecting means. The air conditioner according to claim 1. Wherein said learning means, the air conditioner is calculated by using the equation of heat Q to _{Q = η (W) ρc p} (Tc-Ta) · W applied to the space in the learning of the heat transfer coefficient , wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
The air conditioner according to claim 4, wherein Tc is an indoor heat exchange temperature, Ta is a suction temperature, and W is an indoor fan air volume. Wherein said learning means, the amount of heat Q of the air conditioner in the learning of the heat transfer coefficient has on the space is calculated using Q = g (Ta, To) · Hz · W β relation, wherein Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
Is a constant, The air conditioner according to claim 4. 7. The learning means calculates the amount of heat Q given to the space by the air conditioner in learning the heat passage rate by using a relational expression of Q = cop (W, Ta, To) · Pin, where: , Cop (W,
The air conditioner according to claim 4, wherein (Ta, To) is a coefficient of performance, W is an indoor fan air flow rate, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power. 8. An air conditioner capable of variably controlling the operating frequency of a compressor and the rotation speed of an indoor fan, which is set by a user and is a louver angle, an indoor fan air volume, an outside air temperature, a humidity, an indoor heat exchange temperature. Determining means for determining an indoor preset temperature and an indoor heat exchange preset temperature from a comfort index (Γ) determined based on the indoor temperature, and operation of the compressor based on the preset temperature determined by the determining means. An air conditioner comprising: a control unit that controls the frequency and the rotation speed of the indoor fan. 9. The air conditioner according to claim 8, wherein the determining means has means for calculating an indoor set temperature and an indoor heat exchange set temperature using an optimum solution search algorithm including a genetic algorithm. . 10. A detection means for detecting an environmental condition when air conditioning is stable, and a learning means for learning a heat transmission rate of a room of a user based on the environmental condition detected by the detecting means. The air conditioner according to claim 8. Wherein said learning means, the air conditioner is calculated by using the equation of heat Q to _{Q = η (W) ρc p} (Tc-Ta) · W applied to the space in the learning of the heat transfer coefficient , wherein, eta (W) is an indoor heat exchange efficiency, [rho is the air density, c _p is the air specific heat at constant pressure,
The air conditioner according to claim 10, wherein Tc is an indoor heat exchange temperature, Ta is a suction temperature, and W is an indoor fan air volume. 12. The learning means calculates a heat quantity Q given to a space by an air conditioner in learning the heat passage rate by using a relational expression of Q = g (Ta, To) · Hz · W ^β , Where g is Ta, T
a function with o as a variable, Ta is the intake temperature, To is the outside air temperature, Hz is the compressor frequency, W is the indoor fan air volume, β
The air conditioner according to claim 10, wherein is a constant. 13. The learning means calculates a heat quantity Q given to a space by an air conditioner in learning the heat passage rate by using a relational expression of Q = cop (W, Ta, To) · Pin, where: , Cop (W,
The air conditioner according to claim 10, wherein (Ta, To) is a coefficient of performance, W is an indoor fan air volume, Ta is a suction temperature, To is an outside air temperature, and Pin is an input power.