CN103994548A - Method for adjusting air-conditioner refrigerating capacity through dry-wet bulb temperature allowance grading - Google Patents

Abstract

The invention discloses a method for adjusting the air-conditioner refrigerating capacity through dry-wet bulb temperature allowance grading. The method is used for performing fitting on the refrigerating capacity and energy efficiency ratio data of a room air conditioner under multiple groups of specific testing conditions, adopts an akaike information criterion (AIC) to respectively screen an optimal curved surface equation, solve an extreme value interval of two gradients and confirm a core interval (union of dry-wet bulb temperature allowance ranges in the extreme value intervals of the refrigerating capacity and energy efficiency ratio gradients ), performs three-level nonlinear division on the dry-wet bulb temperature allowance and further adjusts the air-conditioner energy efficiency ratio. The method can accurately control the performance of the room air conditioner, narrow a dry-wet bulb temperature allowance changing range and reduce the change rates of the refrigerating capacity and energy efficiency ratio.

Description

Regulate the method for air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification

Technical field

The invention belongs to architectural environment and energy source use engineering field, relate to a kind of method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification.

Background technology

Room air conditioner Energy Efficiency Standard is the Energy Efficiency Standard of the consumer worked out the earliest of China, and front and back have experienced three revisions, and the related specifications of the U.S., European Union and Japan has been followed in the formulation of Energy Efficiency Standard and revision.The revision of 2000 and twice Energy Efficiency Standard in 2004 is mainly reflected in the rise of efficiency limit value, and existing room air conditioner Energy Efficiency Standard, its efficiency grade is changed to three grades of efficiencies of existing GB GB12021.3-2010 by the Pyatyi efficiency of former GB GB12021.3-2004: existing Energy Efficiency Standard is directly deleted three, four and Pyatyi efficiency grade in former Energy Efficiency Standard, and former Energy Efficiency Standard I and II efficiency grade is redefined to two, three grades of efficiency grades into existing Energy Efficiency Standard.Waiting under the condition of step-length based on this, using the existing Energy Efficiency Standard secondary efficiency first order of one-level as current standard of boosting.Existing Energy Efficiency Standard is directly eliminated the room air conditioner of high energy consumption, expects to adapt to the development model in global low-carbon (LC) city and the demand for development of domestic energy-saving and emission-reduction.

For the correct efficiency grade of judging room air conditioner, in " the thermodynamics sophistication of room air conditioner is analyzed " literary composition, to introduce thermodynamics sophistication room air conditioner is carried out to efficiency evaluation, this is a kind of room air conditioner energy efficiency analysis method for air meriting attention.Meanwhile, room air conditioner Energy Efficiency Standard upgrades revision, corresponding, and its performance standard also needs revision, and matches, and on to greatest extent, avoids because measuring former thereby causing the mistake of room air conditioner efficiency grade to divide.On the one hand, under nominal condition, can reach the room air conditioner of specified refrigerating capacity, may due to reality, to test the deviation of operating mode and nominal condition larger, can not reach specified refrigerating capacity and be divided into by mistake, and then the evaluation of impact to room air conditioner.As the room air conditioner that under nominal condition, refrigerating capacity scope is 7100W～14000W, may test operating mode and be positioned at wet and dry bulb temperature tolerance lower limit (upper limit) due to reality, and be 4500W～7100W by wrong sharing system cold scope, and then affect the judgement of room air conditioner efficiency grade, this will further affect the control action of Air conditioner refrigerating capacity, such as the frequency of unnecessary adjusting compressor, bring unnecessary increasing air conditioner refrigerating amount and improve Energy Efficiency Ratio, to make the refrigerating capacity of room air conditioner and the measured value of Energy Efficiency Ratio reach the requirement of target efficiency level estimate.On the other hand, along with instrument and meter precision improves constantly, manual control actual test operating point and nominal condition point deviation are larger, also may cause refrigerating capacity that predictable wrong measured deviation occurs.According to the performance standard (GB/T7725-2004) of room air conditioner, improve the certainty of measurement of its refrigerating capacity and Energy Efficiency Ratio, except the precision of further lifting measuring instrument instrument, dwindle wet and dry bulb temperature tolerance most important.

Wet and dry bulb temperature franchise refers to the maximum deviation of wet and dry bulb temperature reading and declared working condition, is respectively ± 1 DEG C and ± 0.5 DEG C.Wet and dry bulb temperature changes will directly affect the variation of performance of room air conditioners measurement result.Under existing performance of room air conditioners national standard (GB/T7725-2004) wet and dry bulb temperature tolerance, carry out refrigerating capacity measurement, whether the real-time refrigerating capacity of air-conditioning that judgement records reaches nominal refrigerating capacity rated value.Air conditioner refrigerating amount, because existing tolerance is excessive, causes the possibility of refrigeration capacity test result error very high.According to existing Energy Efficiency Standard, the split type three class room air conditioners of constant speed (refrigerating capacity is between 7.1kW and 14.0kW) are carried out to efficiency grade classification, its three ascending amplitudes that increase progressively of efficiency grade limit value are respectively 6.67% and 6.25%.And Cooling Capacity For The Room Air Conditioner and Energy Efficiency Ratio in wet and dry bulb temperature tolerance, due to the difference of actual operating mode point, Energy Efficiency Ratio measurement result has the distortion of certain probability, further may cause the mistake of room air conditioner efficiency grade to be divided, further may bring the malfunction that regulates air conditioner refrigerating amount, such as the unnecessary frequency of summary compressor and the rotating speed of blower fan etc.

Summary of the invention

Technical problem: for the problems referred to above, the invention provides a kind of based on Study on Air Enthalpy Difference Method, can accurately control performance of room air conditioners, dwindle the excursion of wet and dry bulb temperature franchise, reduce the method for passing through wet and dry bulb temperature franchise grade classification and regulate air conditioner refrigerating amount of the rate of change of refrigerating capacity and Energy Efficiency Ratio.

Technical scheme: the method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification of the present invention, comprises the steps:

1) be captured in Cooling Capacity For The Room Air Conditioner and the Energy Efficiency Ratio data under operating condition of test, described operating condition of test is that dry-bulb temperature is 35 DEG C outside holding chamber, wet-bulb temperature is 24 DEG C, inside difference control room, wet and dry bulb temperature is in 3 large classes, under 14 kinds of operating modes, carry out the measurement of Cooling Capacity For The Room Air Conditioner and Energy Efficiency Ratio, record refrigerating capacity and Energy Efficiency Ratio under operating condition of test point and be respectively W _i, E _i(i=1,2,, 14), i represents different test operating modes:

Wherein, first kind operating mode is that indoor wet-bulb temperature is constant, changes indoor dry-bulb temperature; Operating mode 1～5 indoor wet-bulb temperature is 19 DEG C, corresponding 26 DEG C, 26.5 DEG C, 27 DEG C, 27.5 DEG C, 28 DEG C respectively of indoor dry-bulb temperatures;

Equations of The Second Kind operating mode is that indoor dry-bulb temperature is constant, changes indoor wet-bulb temperature; Operating mode 6～10 indoor dry-bulb temperatures are 27 DEG C, corresponding 18.5 DEG C, 18.8 DEG C, 19 DEG C, 19.3 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

The 3rd class operating mode is indoor wet and dry bulb temperature limit couple variations, and operating mode 11,12 indoor dry-bulb temperatures are 26 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature; Operating mode 13,14 indoor dry-bulb temperatures are 28 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

2) first according to described step 1) in gather each floor data draw respectively refrigerating capacity with wet and dry bulb temperature change curved surface and Energy Efficiency Ratio with wet and dry bulb temperature change curved surface;

Then determine the extreme value interval of refrigerating capacity surface equation and the extreme value interval of Energy Efficiency Ratio surface equation according to following flow process respectively: choose surface equation type according to the characteristic of curved surface, and calculate the correction akaike information criterion of each equation in selected surface equation type, and then using the equation of revising akaike information criterion minimum as optimum surface equation, solve the extreme value interval of described optimum surface equation;

Finally using the union in the extreme value interval of two surface equations as between core space;

3) wet and dry bulb temperature tolerance is carried out to three grades of divisions: A level wet and dry bulb temperature tolerance is wet and dry bulb temperature excursion corresponding between core space; C level wet and dry bulb temperature tolerance is existing wet and dry bulb temperature tolerance; B level wet and dry bulb temperature tolerance determines according to the equal principle of maximums at different levels, minimum Energy Efficiency Ratio rate of change, and B level Energy Efficiency Ratio maximum, the wet and dry bulb temperature excursion corresponding to minimum of a value of trying to achieve are B level wet and dry bulb temperature tolerance;

4) in such a way air conditioner refrigerating amount is regulated:

First under C level wet and dry bulb temperature tolerance, carry out refrigerating capacity measurement, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value, in this way, does not regulate air conditioner refrigerating amount method ends flow process, otherwise:

Continue to carry out refrigerating capacity measurement under B level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value, in this way, does not regulate air conditioner refrigerating amount method ends flow process, otherwise:

Continue to carry out refrigerating capacity measurement under A level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value; In this way, do not regulate air conditioner refrigerating amount method ends flow process, otherwise carry out VFC adjusting, make real-time refrigerating capacity be not less than nominal refrigerating capacity rated value.

In the inventive method, step 2) in choose optimum surface equation concrete grammar be:

When refrigerating capacity or Energy Efficiency Ratio change while increasing progressively with wet and dry bulb temperature, surface equation type is increasing function, then calculate respectively the correction akaike information criterion of each equation ExtremeCum, GaussCum, LogisticCum and the Polynomial2D of increasing function, using the equation of revising akaike information criterion minimum as optimum surface equation;

When refrigerating capacity or Energy Efficiency Ratio change while successively decreasing with wet and dry bulb temperature, surface equation type is decreasing function, then calculate respectively each equation Exponential2D of decreasing function and the correction akaike information criterion of Poly2D, using the equation of revising akaike information criterion minimum as optimum surface equation;

In the time that refrigerating capacity or Energy Efficiency Ratio present fluctuation and change in wet and dry bulb temperature constant interval, surface equation type is peak valley function, then calculate respectively the correction akaike information criterion of each equation Chebyshev2D, Cosine, Fourier2D, Lorent2D, Gauss2D, RationalTaylor, Parabola2D, Rational2D and the Extreme2D of peak valley function, using the equation of revising akaike information criterion minimum as optimum surface equation.

In the preferred version of the inventive method, step 2) in by following formula accounting equation correction akaike information criterion:

$\mathrm{AICc}=\mathrm{AIC}+\frac{2(K+1(K+2))}{n-K-2};$

Wherein, AIC represents akaike information criterion, and AICc represents to revise akaike information criterion, and n represents sample observations number, i.e. refrigerating capacity or the Energy Efficiency Ratio discrete data sum of actual measurement and matching; K represents number of parameters, i.e. number of parameters to be determined in surface equation;

$\mathrm{AIC}=n\×\ln \left(\frac{\mathrm{RSS}}{n}\right)+2(K+1)$

RSS represents residual sum of squares (RSS), calculates by following formula:

$\mathrm{RSS}=\underset{i=1}{\overset{14}{\mathrm{\Σ}}}{({\mathrm{\θ}}_i-{\mathrm{\θ}}_i^{*})}^2;$

Wherein, while getting θ=W, θ represents refrigerating capacity, θ _i=W _i, the discrete refrigerating capacity data that expression gathers, represent the refrigerating capacity data of matching;

While getting θ=E, θ represents Energy Efficiency Ratio, θ _i=E _i, the discrete Energy Efficiency Ratio data that expression gathers, represent the Energy Efficiency Ratio data of matching.

In the preferred version of the inventive method, step 2) in solve by the following method the extreme value interval of optimum surface equation:

Solve respectively the partial derivative of selected optimum surface equation to dry-bulb temperature and wet-bulb temperature, refrigerating capacity or Energy Efficiency Ratio are with the variable gradient of dry-bulb temperature and wet-bulb temperature; Then adopt control variate method to solve refrigerating capacity or Energy Efficiency Ratio with the variable gradient of dry-bulb temperature and the wet-bulb temperature discrete extreme point in the time that dry-bulb temperature only changes and only wet-bulb temperature changes respectively, obtain the enveloping surface of discrete extreme point be the extreme value interval of optimum surface equation.

In the preferred version of the inventive method, step 3) in the maximums at different levels, the principle that minimum Energy Efficiency Ratio rate of change is equal that adopt while determining B level wet and dry bulb temperature tolerance be that maximums at different levels, minimum Energy Efficiency Ratio meet following two formula simultaneously:

$\frac{{\mathrm{EER}}_{B\min }-{\mathrm{EER}}_{C\min }}{{\mathrm{EER}}_{C\min }}=\frac{{\mathrm{EER}}_{A\min }-{\mathrm{EER}}_{B\min }}{{\mathrm{EER}}_{B\min }},\frac{{\mathrm{EER}}_{C\max }-{\mathrm{EER}}_{B\max }}{{\mathrm{EER}}_{B\max }}=\frac{{\mathrm{EER}}_{B\max }-{\mathrm{EER}}_{A\max }}{{\mathrm{EER}}_{A\max }};$

Wherein, EER _amax, EER _bmax, EER _cmaxbe expressed as the maximum of the Energy Efficiency Ratio in A, B, C level tolerance, EER _amin, EER _bmin, EER _cminbe expressed as the minimum of a value of the Energy Efficiency Ratio in A, B, C level tolerance.

Beneficial effect: the present invention compared with prior art, has the following advantages:

Taking refrigerating capacity and Energy Efficiency Ratio variable gradient as point of penetration, solve the temperature range of refrigerating capacity and Energy Efficiency Ratio rate of change maximum in wet and dry bulb temperature tolerance, be the extreme value interval of refrigerating capacity and Energy Efficiency Ratio variable gradient.

When tolerance is carried out to grade classification, consider the extreme value interval of refrigerating capacity and Energy Efficiency Ratio variable gradient simultaneously.As between core space, and in core space, increase the test density to room air conditioner taking the union in refrigerating capacity and Energy Efficiency Ratio variable gradient extreme value interval.

To revising between core space: with wet and dry bulb temperature in core space be limited to up and down basis, solving the minimum rectangle temperature range that comprises core dimensions is A level tolerance.

,, on the equal basis of maximum, the minimum rate of change of tolerance at different levels B level tolerance is divided as basis taking existing national standard tolerance as C level franchise.

Existing wet and dry bulb temperature franchise is carried out to A, B and tri-grades of divisions of C, by upper level wet and dry bulb temperature tolerance measurement refrigerating capacity, in the time that real-time refrigerating capacity is less than nominal refrigerating capacity rated value, regulates air conditioner refrigerating amount, and under next stage wet and dry bulb temperature tolerance, continue to measure; If when refrigerating capacity is more than or equal to nominal refrigerating capacity rated value in real time, do not regulate air conditioner refrigerating amount; If the real-time refrigerating capacity under A level wet and dry bulb temperature tolerance is still less than nominal refrigerating capacity rated value, need to carry out VFC adjusting, make real-time refrigerating capacity be not less than nominal refrigerating capacity rated value.

The excursion of wet and dry bulb temperature franchise is dwindled in three grades of classifications of wet and dry bulb temperature franchise step by step, reduces the rate of change of refrigerating capacity and Energy Efficiency Ratio, improves test and appraisal accuracy, reflects more really performance of room air conditioners, and reference is provided to the revision of national standard;

Along with instrument and meter precision improves constantly, avoid the actual test of manual control operating point to be positioned at wet and dry bulb temperature high tolerance or lower limit, thereby cause room air conditioner efficiency grade that predictable wrong division occurs.

Brief description of the drawings

Fig. 1 is the block diagram of wet and dry bulb temperature franchise rank division method in the inventive method;

Fig. 2 is the surface chart that embodiment of the present invention refrigerating capacity changes with wet and dry bulb temperature;

Fig. 3 is the surface chart that embodiment of the present invention Energy Efficiency Ratio changes with wet and dry bulb temperature;

Fig. 4 is embodiment of the present invention wet and dry bulb temperature franchise grade classification scope schematic diagram.

Detailed description of the invention

Below in conjunction with drawings and Examples, the present invention will be further described:

The method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification of the present invention can be carried out to the room air conditioner of different refrigerating capacity grades the division of indoor wet and dry bulb temperature franchise grade under cooling condition.Describe taking the wet and dry bulb temperature franchise grade classification under three class room air conditioners (refrigerating capacity is between between 7.1kW and 14.0kW) cooling condition as embodiment below, concrete steps are as follows:

1) be captured in Cooling Capacity For The Room Air Conditioner and the Energy Efficiency Ratio data under operating condition of test, described operating condition of test is that dry-bulb temperature is 35 DEG C outside holding chamber, wet-bulb temperature is 24 DEG C, inside difference control room, wet and dry bulb temperature is in 3 large classes, under 14 kinds of operating modes, carry out the measurement of Cooling Capacity For The Room Air Conditioner and Energy Efficiency Ratio, record refrigerating capacity and Energy Efficiency Ratio under operating condition of test point and be respectively W _ie _i(i=1,2,, 14), i represents different test operating modes:

Wherein, first kind operating mode is that indoor wet-bulb temperature is constant, changes indoor dry-bulb temperature; Operating mode 1～5 indoor wet-bulb temperature is 19 DEG C, corresponding 26 DEG C, 26.5 DEG C, 27 DEG C, 27.5 DEG C, 28 DEG C respectively of indoor dry-bulb temperatures;

Equations of The Second Kind operating mode is that indoor dry-bulb temperature is constant, changes indoor wet-bulb temperature; Operating mode 6～10 indoor dry-bulb temperatures are 27 DEG C, corresponding 18.5 DEG C, 18.8 DEG C, 19 DEG C, 19.3 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

The 3rd class operating mode is indoor wet and dry bulb temperature limit couple variations, and operating mode 11,12 indoor dry-bulb temperatures are 26 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature; Operating mode 13,14 indoor dry-bulb temperatures are 28 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

2) first according to described step 1) in each floor data of gathering draw respectively the curved surface that curved surface that refrigerating capacity changes with wet and dry bulb temperature and Energy Efficiency Ratio change with wet and dry bulb temperature, refrigerating capacity changes curved surface and sees that Fig. 2, Energy Efficiency Ratio change curved surface and see Fig. 3;

Then determine the extreme value interval of refrigerating capacity surface equation and the extreme value interval of Energy Efficiency Ratio surface equation according to following flow process respectively: as shown in Figure 2, refrigerating capacity changes and increases progressively with wet and dry bulb temperature, to frequently-used data analysis software (PeakFit, origin) the each class function in function library is screened, choose increasing function and (comprise function ExtremeCum, GaussCum, LogisticCum and Polynomial2D, concrete general formula sees the following form) as surface equation type, respectively by operating condition of test point, result of the test, function general formula is input in matlab software, try to achieve respectively constant coefficient value in each general formula.Further calculate the akaike information criterion of each equation in this surface equation type; As shown in Figure 3, Energy Efficiency Ratio changes and increases progressively with wet and dry bulb temperature, equally also choose increasing function (comprising function ExtremeCum, GaussCum, LogisticCum and Polynomial2D) as surface equation type, further calculate the akaike information criterion of each equation in this surface equation type.

Z0～z10 is constant coefficient, and x, y are independent variable, and z is dependent variable

The correction akaike information criterion of equation calculates by following formula:

$\mathrm{AICc}=\mathrm{AIC}+\frac{2(K+1(K+2))}{n-K-2};$

Wherein, AIC represents akaike information criterion, and AICc represents to revise akaike information criterion, and n represents sample observations number, i.e. refrigerating capacity or the Energy Efficiency Ratio discrete data sum of actual measurement and matching; K represents number of parameters, i.e. number of parameters to be determined in surface equation;

$\mathrm{AIC}=n\×\ln \left(\frac{\mathrm{RSS}}{n}\right)+2(K+1);$

RSS represents residual sum of squares (RSS), calculates by following formula:

$\mathrm{RSS}=\underset{i=1}{\overset{14}{\mathrm{\Σ}}}{({\mathrm{\θ}}_i-{\mathrm{\θ}}_i^{*})}^2;$

Wherein, while getting θ=W, θ represents refrigerating capacity W, θ _i=W _i, the discrete refrigerating capacity data that expression gathers, represent the refrigerating capacity data of matching; While getting θ=E, θ represents Energy Efficiency Ratio E, θ _i=E _i, the discrete Energy Efficiency Ratio data that expression gathers, represent the Energy Efficiency Ratio data of matching.

In refrigerating capacity and Energy Efficiency Ratio surface equation type, the AICc value result of calculation of each equation sees the following form:

According to upper table, in refrigerating capacity surface equation type, middle ExtremeCum equation AICc value is minimum, adopts ExtremeCum equation to describe therefore refrigerating capacity curved surface divides, and the optimum surface equation of refrigerating capacity W is:

$W=W_0+\mathrm{\αexp}[-\exp \left(\frac{\mathrm{DBT}-t_1}{\mathrm{\ϵ}}\right)]+\mathrm{\βexp}[-\exp \left(\frac{\mathrm{WBT}-t_2}{\mathrm{\δ}}\right)]+\mathrm{\χexp}[-\exp \left(\frac{\mathrm{EBT}-t_1}{\mathrm{\ϵ}}\right)-\exp \left(\frac{\mathrm{WBT}-t_2}{\mathrm{\δ}}\right)];$

In Energy Efficiency Ratio surface equation type, GaussCum equation AICc value is minimum, adopts GaussCum equation to describe therefore Energy Efficiency Ratio curved surface divides, and the optimum surface equation of Energy Efficiency Ratio E is:

$E=E_0+\frac{\mathrm{\κ}}{4}[1+{\∫}^{\mathrm{DBT}}\exp {\left(\frac{x-t_3}{\mathrm{\σ}}\right)}^2\mathrm{dx}]\×[1+{\∫}^{\mathrm{WBT}}\exp {\left(\frac{y-t_4}{\mathrm{\υ}}\right)}^2\mathrm{dy}];$

Solve respectively its partial derivative to wet and dry bulb temperature according to refrigerating capacity and the optimum surface equation of Energy Efficiency Ratio, refrigerating capacity and Energy Efficiency Ratio are with the variable gradient of wet and dry bulb temperature, and refrigerating capacity is with dry bulb variable gradient gradDBT _wfor:

$\mathrm{grad}{\mathrm{DBT}}_W=-\frac{1}{\mathrm{\ϵ}}\exp \left(\frac{\mathrm{DBT}-t_1}{\mathrm{\ϵ}}\right)\×\left[\mathrm{\αexp}\right[-\exp \left(\frac{\mathrm{DBT}-t_1}{\mathrm{\ϵ}}\right)]+\mathrm{\χexp}[-\exp \left(\frac{\mathrm{DBT}-t_1}{\mathrm{\ϵ}}\right)-\exp \left(\frac{\mathrm{WBT}-t_2}{\mathrm{\δ}}\right)\left]\right];$

Refrigerating capacity is with wet bulb variable gradient gradWBT _wfor:

$\mathrm{grad}{\mathrm{DBT}}_W=-\frac{1}{\mathrm{\δ}}\exp \left(\frac{\mathrm{DBT}-t_2}{\mathrm{\δ}}\right)\×\left[\mathrm{\βexp}\right[-\exp \left(\frac{\mathrm{WBT}-t_2}{\mathrm{\δ}}\right)]+\mathrm{\χexp}[-\exp \left(\frac{\mathrm{DBT}-t_1}{\mathrm{\ϵ}}\right)-\exp \left(\frac{\mathrm{WBT}-t_2}{\mathrm{\δ}}\right)\left]\right];$

Energy Efficiency Ratio is with dry bulb variable gradient gradDBT _efor:

${\mathrm{grad}\mathrm{DBT}}_E=\frac{\mathrm{\κ}(\mathrm{DBT}-t_3)}{2{\mathrm{\σ}}^2}\×\exp {\left(\frac{\mathrm{DBT}-t_3}{\mathrm{\σ}}\right)}^2\×[1+{\∫}^{\mathrm{WBT}}\exp {\left(\frac{y-t_4}{\mathrm{\υ}}\right)}^2\mathrm{dy}];$

Energy Efficiency Ratio is with wet bulb variable gradient gradWBT _efor:

${\mathrm{grad}\mathrm{WBT}}_E=\frac{\mathrm{\κ}(\mathrm{WBT}-t_4)}{2{\mathrm{\υ}}^2}\×\exp {\left(\frac{\mathrm{WBT}-t_4}{\mathrm{\υ}}\right)}^2\×[1+{\∫}^{\mathrm{DBT}}\exp {\left(\frac{x-t_3}{\mathrm{\σ}}\right)}^2\mathrm{dx}];$

Wherein, W ₀, α, t ₁, ε, t ₂, δ, β, E ₀, χ, t ₃, κ, t ₄, σ, υ represent parameter, obtain with the variable gradient equation of wet and dry bulb by the special test operating point to matlab numerical simulation software input above-mentioned steps 1, corresponding refrigerating capacity measured value and above-mentioned 4 refrigerating capacitys and Energy Efficiency Ratio, each parameter value and standard error see the following form:

Parameter	Numerical value	Standard error.	Parameter	Numerical value	Standard error.	Parameter	Numerical value	Standard error.
									W 0	11.77	0.79	δ	1.04	1.21	κ	0.13	0.022
α	-0.14	0.23	β	1.01	0.92	t 4	19.22	0.081
									t 1	26.55	0.11	E 0	3.01	0.0048	σ	0.45	0.16
ε	0.21	0.13	χ	0.37	0.29	υ	0.51	0.090
									t 2	18.62	0.89	t 3	25.65	0.12	?	?	?

Adopt control variate method respectively refrigerating capacity and Energy Efficiency Ratio to be solved to the discrete extreme point of its gradient in the time that dry-bulb temperature only changes and only wet-bulb temperature changes, the extreme point of refrigerating capacity and Energy Efficiency Ratio sees the following form:

The enveloping surface of the discrete extreme point obtaining is the extreme value interval of optimum surface equation.

Finally using the union in the extreme value interval of described two surface equations as between core space, its wet and dry bulb temperature bound is respectively 26.8 DEG C, 27.4 DEG C, 18.9 DEG C, 19.3 DEG C;

3) wet and dry bulb temperature tolerance is carried out to three grades of divisions: A level wet and dry bulb temperature tolerance is wet and dry bulb temperature excursion corresponding between core space, and wet and dry bulb temperature scope is respectively 26.8 DEG C～27.4 DEG C and 18.9 DEG C～19.3 DEG C;

C level wet and dry bulb temperature tolerance is existing wet and dry bulb temperature tolerance, and wet and dry bulb temperature scope is respectively 26.0 DEG C～28.0 DEG C and 18.5 DEG C～19.5 DEG C;

B level wet and dry bulb temperature tolerance determines according to the equal principle of maximums at different levels, minimum Energy Efficiency Ratio rate of change, and maximums at different levels, minimum Energy Efficiency Ratio meet following two formula simultaneously:

$\frac{{\mathrm{EER}}_{B\min }-{\mathrm{EER}}_{C\min }}{{\mathrm{EER}}_{C\min }}=\frac{{\mathrm{EER}}_{A\min }-{\mathrm{EER}}_{B\min }}{{\mathrm{EER}}_{B\min }},\frac{{\mathrm{EER}}_{C\max }-{\mathrm{EER}}_{B\max }}{{\mathrm{EER}}_{B\max }}=\frac{{\mathrm{EER}}_{B\max }-{\mathrm{EER}}_{A\max }}{{\mathrm{EER}}_{A\max }};$

Wherein, EER _amax, EER _bmax, EER _cmaxbe expressed as the maximum of the Energy Efficiency Ratio in A, B, C level tolerance, EER _amin, EER _bmin, EER _cminbe expressed as the minimum of a value of the Energy Efficiency Ratio in A, B, C level tolerance.EER _amax, EER _cmax, EER _amin, EER _cminbe respectively 3.0702,3.0819,3.0369,3.0124, bring above formula into and calculate EER _bmax, EER _bminbe respectively 3.0761,3.0246, EER _bmax, EER _bmaxcorresponding wet and dry bulb temperature is respectively 26.6 DEG C, 18.7 DEG C and 27.8 DEG C, 19.4 DEG C, therefore B level wet and dry bulb temperature tolerance wet and dry bulb temperature scope is respectively 26.6 DEG C～27.8 DEG C and 18.7 DEG C～19.4 DEG C.

4) existing wet and dry bulb temperature franchise is carried out to A, B and tri-grades of divisions of C, can regulate air conditioner refrigerating amount: first under C level wet and dry bulb temperature tolerance, carry out refrigerating capacity measurement, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value; In this way, do not regulate air conditioner refrigerating amount, otherwise, continue to carry out refrigerating capacity measurement under B level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value; In this way, do not regulate air conditioner refrigerating amount, otherwise, continue to carry out refrigerating capacity measurement under A level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value; In this way, do not regulate air conditioner refrigerating amount, otherwise carry out VFC adjusting, make real-time refrigerating capacity be not less than nominal refrigerating capacity rated value.

Above embodiment is only further illustrating the present invention program; after having read the embodiment of the present invention, the amendment of those of ordinary skill in the art to various equivalents of the present invention and replacing all belongs to the scope of the protection that the present patent application claim limits.

Claims (5)

1. a method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification, is characterized in that, the method comprises the following steps:

1) be captured in Cooling Capacity For The Room Air Conditioner and the Energy Efficiency Ratio data under operating condition of test, described operating condition of test is that dry-bulb temperature is 35 DEG C outside holding chamber, wet-bulb temperature is 24 DEG C, inside difference control room, wet and dry bulb temperature is in 3 large classes, under 14 kinds of operating modes, carry out the measurement of Cooling Capacity For The Room Air Conditioner and Energy Efficiency Ratio, record refrigerating capacity and Energy Efficiency Ratio under operating condition of test point and be respectively W _i, E _i(i=1,2,, 14), i represents different test operating modes:

Wherein, first kind operating mode is that indoor wet-bulb temperature is constant, changes indoor dry-bulb temperature; Operating mode 1～5 indoor wet-bulb temperature is 19 DEG C, corresponding 26 DEG C, 26.5 DEG C, 27 DEG C, 27.5 DEG C, 28 DEG C respectively of indoor dry-bulb temperatures;

Equations of The Second Kind operating mode is that indoor dry-bulb temperature is constant, changes indoor wet-bulb temperature; Operating mode 6～10 indoor dry-bulb temperatures are 27 DEG C, corresponding 18.5 DEG C, 18.8 DEG C, 19 DEG C, 19.3 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

The 3rd class operating mode is indoor wet and dry bulb temperature limit couple variations, and operating mode 11,12 indoor dry-bulb temperatures are 26 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature; Operating mode 13,14 indoor dry-bulb temperatures are 28 DEG C, corresponding 18.5 DEG C, 19.5 DEG C respectively of indoor wet-bulb temperature;

2) first according to described step 1) in gather each floor data draw respectively refrigerating capacity with wet and dry bulb temperature change curved surface and Energy Efficiency Ratio with wet and dry bulb temperature change curved surface;

Then determine the extreme value interval of refrigerating capacity surface equation and the extreme value interval of Energy Efficiency Ratio surface equation according to following flow process respectively: choose surface equation type according to the characteristic of curved surface, and calculate the correction akaike information criterion of each equation in selected surface equation type, and then using the equation of revising akaike information criterion minimum as optimum surface equation, solve the extreme value interval of described optimum surface equation;

Finally using the union in the extreme value interval of described two surface equations as between core space;

3) wet and dry bulb temperature tolerance is carried out to three grades of divisions: A level wet and dry bulb temperature tolerance is wet and dry bulb temperature excursion corresponding between core space; C level wet and dry bulb temperature tolerance is existing wet and dry bulb temperature tolerance; B level wet and dry bulb temperature tolerance determines according to the equal principle of maximums at different levels, minimum Energy Efficiency Ratio rate of change, and B level Energy Efficiency Ratio maximum, the wet and dry bulb temperature excursion corresponding to minimum of a value of trying to achieve are B level wet and dry bulb temperature tolerance;

4) in such a way air conditioner refrigerating amount is regulated:

First under C level wet and dry bulb temperature tolerance, carry out refrigerating capacity measurement, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value, in this way, does not regulate air conditioner refrigerating amount method ends flow process, otherwise:

Continue to carry out refrigerating capacity measurement under B level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value, in this way, does not regulate air conditioner refrigerating amount method ends flow process, otherwise:

Continue to carry out refrigerating capacity measurement under A level wet and dry bulb temperature tolerance, whether the real-time refrigerating capacity of air-conditioning that then judgement records is more than or equal to nominal refrigerating capacity rated value; In this way, do not regulate air conditioner refrigerating amount method ends flow process, otherwise carry out VFC adjusting, make real-time refrigerating capacity be not less than nominal refrigerating capacity rated value.

2. the method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification according to claim 1, is characterized in that described step 2) in choose optimum surface equation concrete grammar be:

When refrigerating capacity or Energy Efficiency Ratio change while increasing progressively with wet and dry bulb temperature, surface equation type is increasing function, then calculate respectively the correction akaike information criterion of each equation ExtremeCum, GaussCum, LogisticCum and the Polynomial2D of increasing function, using the equation of revising akaike information criterion minimum as optimum surface equation;

When refrigerating capacity or Energy Efficiency Ratio change while successively decreasing with wet and dry bulb temperature, surface equation type is decreasing function, then calculate respectively each equation Exponential2D of decreasing function and the correction akaike information criterion of Poly2D, using the equation of revising akaike information criterion minimum as optimum surface equation;

In the time that refrigerating capacity or Energy Efficiency Ratio present fluctuation and change in wet and dry bulb temperature constant interval, surface equation type is peak valley function, then calculate respectively the correction akaike information criterion of each equation Chebyshev2D, Cosine, Fourier2D, Lorent2D, Gauss2D, RationalTaylor, Parabola2D, Rational2D and the Extreme2D of peak valley function, using the equation of revising akaike information criterion minimum as optimum surface equation.

3. the method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification according to claim 1, is characterized in that described step 2) in by following formula accounting equation correction akaike information criterion:

$\mathrm{AICc}=\mathrm{AIC}+\frac{2(K+1(K+2))}{n-K-2};$

Wherein, AIC represents akaike information criterion, and AICc represents to revise akaike information criterion, and n represents sample observations number, i.e. refrigerating capacity or the Energy Efficiency Ratio discrete data sum of actual measurement and matching; K represents number of parameters, i.e. number of parameters to be determined in surface equation;

$\mathrm{AIC}=n\×\ln \left(\frac{\mathrm{RSS}}{n}\right)+2(K+1),$

RSS represents residual sum of squares (RSS), calculates by following formula:

$\mathrm{RSS}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{({\mathrm{\θ}}_i-{\mathrm{\θ}}_i^{*})}^2;$

Wherein, while getting θ=W, θ represents refrigerating capacity W, θ _i=W _i, the discrete refrigerating capacity data that expression gathers, represent the refrigerating capacity data of matching;

While getting θ=E, θ represents Energy Efficiency Ratio E, θ _i=E _i, the discrete Energy Efficiency Ratio data that expression gathers, represent the Energy Efficiency Ratio data of matching.

4. the method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification according to claim 1, is characterized in that described step 2) in solve by the following method the extreme value interval of optimum surface equation:

Solve respectively the partial derivative of selected optimum surface equation to dry-bulb temperature and wet-bulb temperature, refrigerating capacity or Energy Efficiency Ratio are with the variable gradient of dry-bulb temperature and wet-bulb temperature; Then adopt control variate method to solve described refrigerating capacity or Energy Efficiency Ratio with the variable gradient of dry-bulb temperature and the wet-bulb temperature discrete extreme point in the time that dry-bulb temperature only changes and only wet-bulb temperature changes respectively, obtain the enveloping surface of discrete extreme point be the extreme value interval of optimum surface equation.

5. the method that regulates air conditioner refrigerating amount by wet and dry bulb temperature franchise grade classification according to claim 1, it is characterized in that described step 3) in determine that the maximums at different levels that adopt when B level wet and dry bulb temperature tolerance, the principle that minimum Energy Efficiency Ratio rate of change is equal are that maximums at different levels, minimum Energy Efficiency Ratio meet following two formula simultaneously:

$\frac{{\mathrm{EER}}_{B\min }-{\mathrm{EER}}_{C\min }}{{\mathrm{EER}}_{C\min }}=\frac{{\mathrm{EER}}_{A\min }-{\mathrm{EER}}_{B\min }}{{\mathrm{EER}}_{B\min }},\frac{{\mathrm{EER}}_{C\max }-{\mathrm{EER}}_{B\max }}{{\mathrm{EER}}_{B\max }}=\frac{{\mathrm{EER}}_{B\max }-{\mathrm{EER}}_{A\max }}{{\mathrm{EER}}_{A\max }};$

Wherein, EER _amax, EER _bmax, EER _cmaxbe expressed as the maximum of the Energy Efficiency Ratio in A, B, C level tolerance, EER _amin, EER _bmin, EER _cminbe expressed as the minimum of a value of the Energy Efficiency Ratio in A, B, C level tolerance.