This page contains a Flash digital edition of a book.
118 TECHNOLOGY / LED


This was later revised for the CIE 1960 colour space system by MacAdam to:


Although the CCT can be calculated for any chromaticity coordinate, the result is meaningful only if the light sources are nearly white. The CIE recommends that: “The concept of correlated colour tempera- ture should not be used if the chromaticity of the test source differs more than Δuv = 5x10-2 from the Planckian radiator.” Beyond a certain value of Δuv, a chromaticity coor- dinate may be equidistant to two points on the locus, causing ambiguity in the CCT. One can approximate the Planckian locus in order to calculate the CCT in terms of chromaticity coordinates using the McCamy equation outlined below providing a narrow range of colour temperatures is considered between 2856K and 6504K.


CCT(x,y) = -449n3


5520.33 where n = (x - xe


+ 3525n2 )/(y - ye - 6823.3n + ) is the inverse slope line and (xe = 0.3320, ye = 0.1858) is


the ‘epicentre’. The maximum absolute error for the colour temperature range is under 2K from the equation calculation.


A more recent proposal, using exponential terms, considerably extends the applicable range for high colour temperatures:


CCT(x,y) = A0 + A1 + A3


exp(-n/t3 )


where n is as before and the other con- stants are defined below for 3000 to 50,000K:


Xe Ye A0 A1 t1


A2 t2


A3 t3


0.3366 0.1735


-949.86315 6253.80338 0.92159 28.70599 0.20039 0.00004 0.07125


Your head may be spinning by the mathe- matics by now but don’t get too hung up on this and just remember the following: 1. The RGB coordinates are really obtained from standard colour sensors to allow CIE x,y and z parameters to be easily calcu-


exp(-n/t1 ) + A2 exp(-n/t2 )


lated. It also means that if you have Red, Green, Blue LEDs it is possible to predict the CIE x,y and z parameters. 2. It is possible to calculate CCT values based on CIE x,y values which can be de- rived from RGB values or a colour sensor. The mathematic calculations also bring the first source of error for any LED lighting control system. The mathematics used to derive the CCT have conversion errors due to the equations and constant terms and these errors are shown in figure 5. Although the CCT calculation errors can be as high as 1.5% this occurs for very warm 1700K light sources and from CCT values between 2700K and 8000K the maximum errors are less than 0.5% but remember this still can represent a calculation error of more than 35K! There are many other types of CCT and CRI errors that one needs to take into account to ensure vCCT colour systems provide the most accurate colour rendition possible. I will discuss these errors in much more detail in part three of this series early next year but needless to say I will also attempt to show you what needs to be done to ensure many of the errors are mitigated using closed loop feedback control from intelligent LED driver systems and how to minimise costs and complexities of such systems to enable low cost, highly flexible solutions. However, I would like to round off this edition by explaining the final concept of colour mixing which are vital in order for LED systems to create vCCT systems.


Colour Mixing There are two ways to create colour mixing: 1) Additive 2) Subtractive In both cases there are three primary colours, three secondary colours (colours made from two of the three primary colours in equal amounts), and one tertiary colour made from all three primary colours. Additive mixing of colours generally involves mixing colours of light. In additive mixing of colours there are three primary colours: red, green and blue. In the absence of colour or, when no colours are showing, the result is black. If all three primary colours are showing, the result is white. The use of additive colour mixing is the key method for developing quality white light but it can utilise two or more colours to achieve a result and this includes adding shades of white SPDs together to create vCCT systems. Subtractive mixing is done by selectively removing certain colours, for instance with optical filters in front of a white


Figure 5: The Error between real and McCamy calculated CCT for various colour temperatures.


light source. The three primary colours in subtractive mixing are yellow, magenta and cyan. In subtractive mixing of colour, the absence of colour is white and the pres- ence of all three primary colours is black. This was the commonly used method for creating colours using white broadband light sources with optical filters to provide specific colours.


Overview The human eye perceives colour according to a wide range of factors that have been modelled for nearly a century and have been shown to approximate three distinct colour functions approximated by the CIE as standard observer functions. These functions can be used to model the human eye response to artificial light and can be transformed into a variety of mathematical spaces using simple calcula- tions. These calculations can then be used as the basis to calculate CCT and CRI of a light source. The majority of LED lighting fixtures can utilise additive lighting techniques to cre- ate an artificial light source with high CRI, for example the use of combining white LEDs with red LEDs to create a CRI greater than 90. However, the current definition of CRI does not work well for artificial light sources such as LEDs so it isn’t a good metric to utilise for quality of light with LED light sources. The next edition (Dec/Jan) will focus on the annual LED roundup of LED innovations and what happened during 2012 but I will con- tinue to explain how to specify vCCT based lighting fixtures and determine the advan- tages and disadvantages of various ways of implementing such systems in early 2013. In the meantime, if you are impatient and want to know more please join the mondo*arc Linked In group and I will be happy to respond to any questions you may have. g.archenhold@mondiale.co.uk


Dr. Geoff Archenhold is an active investor in LED driver and fixture manufacturers and a lighting energy consultant.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152