Optimizing LCD structures to mitigate carbon emissions based on root-mean-square values

Taiwan is among the leading global producers of display panels, with a GDP as high as 8%. In light of the European Union’s ambitious European Green Deal, which aims for a 55% reduction in carbon emissions by 2030 and carbon neutrality by 2050, the advancement of low-carbon emission panel technology is becoming an inevitable trend. Liquid-crystal display (LCD) technology, known for its non-self-emitting light display, is faced with a significant challenge—the utilization of polarizers and color filters results in a staggering 90% loss of luminance. Therefore, the need to maintain or enhance brightness is crucial for mitigating the carbon footprint. The transition from conventional light-emitting diodes (LEDs) to mini-LEDs has significantly reduced carbon emissions. However, the heat generated by tens of thousands of mini-LEDs poses a new challenge, increasing carbon emissions and raising concerns regarding environmental sustainability. This study focuses on improving the LCD structure to reduce carbon emissions using root-mean-square (RMS) values, with a 32 in. LCD as an example. Through simulations using ANSYS SPEOS optical software, we analyzed the optimal alignment of the mini-LED pitch and the optimal combination of the height and angle of the brightness enhancement film to achieve an RMS value close to 1, which is the target. The most successful outcomes of this analysis include reducing the number of mini-LEDs by 224 pieces, resulting in a 51.02% reduction in carbon emissions while maintaining panel uniformity. This achievement highlights our commitment to environmental protection and sustainable development.

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Publication Details

Journal
Applied Optics
Published
2024-08-05
DOI
https://doi.org/10.1364/ao.533761
Citations
1
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.34
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article

Optimizing LCD structures to mitigate carbon emissions based on root-mean-square values

Chia-Hung Yeh, Wei M. Chen
1 citations
Applied Optics
Color Science and Applications
0.34
article

Optimizing LCD structures to mitigate carbon emissions based on root-mean-square values

Chia-Hung Yeh, Wei M. Chen
article en
1 citations

Abstract

Taiwan is among the leading global producers of display panels, with a GDP as high as 8%. In light of the European Union’s ambitious European Green Deal, which aims for a 55% reduction in carbon emissions by 2030 and carbon neutrality by 2050, the advancement of low-carbon emission panel technology is becoming an inevitable trend. Liquid-crystal display (LCD) technology, known for its non-self-emitting light display, is faced with a significant challenge—the utilization of polarizers and color filters results in a staggering 90% loss of luminance. Therefore, the need to maintain or enhance brightness is crucial for mitigating the carbon footprint. The transition from conventional light-emitting diodes (LEDs) to mini-LEDs has significantly reduced carbon emissions. However, the heat generated by tens of thousands of mini-LEDs poses a new challenge, increasing carbon emissions and raising concerns regarding environmental sustainability. This study focuses on improving the LCD structure to reduce carbon emissions using root-mean-square (RMS) values, with a 32 in. LCD as an example. Through simulations using ANSYS SPEOS optical software, we analyzed the optimal alignment of the mini-LED pitch and the optimal combination of the height and angle of the brightness enhancement film to achieve an RMS value close to 1, which is the target. The most successful outcomes of this analysis include reducing the number of mini-LEDs by 224 pieces, resulting in a 51.02% reduction in carbon emissions while maintaining panel uniformity. This achievement highlights our commitment to environmental protection and sustainable development.

Applied OpticsVol. 63(25)
Tunghai University (TW)
Climate action
Openalex Percentile: Top 42%
Color Science and Applications
0.34
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Optimizing LCD structures to mitigate carbon emissions based on root-mean-square values — Chia-Hung Yeh, Wei M. Chen · Applied Optics (2024) | TGRS Research Map | TGRS