Lighting Spectrum Optimization for Circadian and Efficacy Trade-offs
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Solution Overview
Problem
Traditional methods for evaluating artificial lighting are insufficient in addressing modern needs for energy efficiency, comfort, safety, and health considerations, particularly in optimizing illumination spectra for diverse applications and human physiological responses.
Innovation Solution
A method and system for spectrum optimization of artificial lighting that determines a destined light spectrum based on a merit function, combining component lights with specific chromaticities to achieve desired optical characteristics, taking into account factors like luminous efficacy, color rendering, and circadian efficacy, using a system with light sources, a chromaticity coordinate unit, and a light source driver to adjust the illumination spectrum according to working conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional lighting evaluation parameters (luminous efficacy, color rendering) are used, then lighting performance can be assessed, but they are insufficient for addressing modern needs including energy efficiency, comfort, safety, and health considerations
Solution Approach 1:
The patent segments the illumination spectrum into multiple wavelength bands (e.g., blue, cyan, green, yellow-green, yellow, orange, red regions) and evaluates each band separately using specific evaluation parameters. This allows comprehensive assessment of various lighting effects (energy saving, comfort, safety, health) through modular parameter analysis rather than using a single complex evaluation system.
2Productivity
If illumination spectrum is optimized for photopic vision conditions, then luminous efficacy is improved, but it is not sufficient for mesopic vision conditions where spectral responses bias towards shorter wavelengths
Solution Approach 1:
The patent introduces dynamic adjustment capabilities that allow the lighting system to adapt its spectral composition based on ambient light conditions. The evaluation parameters and optimization targets are adjusted dynamically between photopic and mesopic vision conditions, enabling the system to optimize luminous efficacy for the current vision regime while maintaining adaptability to transition between different lighting environments.
3Reliability
If multiple optimization parameters are considered simultaneously (luminous efficacy, color rendering, circadian efficacy, mesopic efficacy), then comprehensive lighting performance is achieved, but calculation complexity increases
Solution Approach 1:
The patent segments the optimization process into distinct wavelength band evaluations, where each band contributes to specific evaluation parameters. This segmentation allows the system to handle multiple optimization parameters systematically by associating them with specific spectral regions, reducing the overall calculation complexity while maintaining comprehensive performance assessment.
Solution Approach 2:
The patent introduces an intermediary evaluation framework that mediates between multiple optimization parameters and the final lighting design. The spectral evaluation parameters serve as intermediaries that translate complex multi-parameter requirements into actionable spectral design guidelines, simplifying the optimization process while ensuring comprehensive performance.
Data Source
AI summary
The present disclosure relates to a method and related system for spectrum optimization of an illumination light source. Spectrum optimization according to the present disclosure can be based on various optimization parameters, including but not limited to luminous efficacy, color rendering effect, luminous efficacy of radiation, mesopic efficacy of radiation, cirtopic efficacy of radiation, etc. The present method and system are capable of optimizing illumination performance of a light source in various aspects in an individual or integrated manner. Further, the present method and system are capable of accommodating different illumination purposes and conditions by combining and prioritizing different optimization parameters.