Integrating Multi-Criteria Decision Analysis in Luminaire Selection Based on Colour Preferences and Energy Consumption

Οptimizing colour balance preference and energy efficiency simultaneously is often difficult. Despite advancements in technology enhancing energy efficiency, harmonizing colour preference with energy conservation remains complex. This study investigates the interaction among colour preference, energy efficiency, evaluation frameworks to improve understanding and design practices. Using a methodical approach, research employs multi-criteria decision analysis (MCDA) to optimize colour preference and energy efficiency in lighting design. A computational tool based on genetic algorithms is used to generate nine distinct spectral power distributions (SPDs) with similar Correlated Colour Temperatures (CCT) and average fidelity but varying in gamut shape and size. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), an MCDA method, is then applied to assess colour evaluation systems. TOPSIS compares alternatives based on pre-specified criteria, aiding in the selection of lighting luminaires that balance colour preferences and energy consumption. The study’s findings provide recommendations and expand the discourse on lighting design practices. Future research may explore alternative decision analysis methodologies to refine evaluation frameworks. Harmonizing colour preference with energy efficiency is vital for environmental sustainability and user satisfaction. Strategic methodologies like MCDA and computational tools support the balance of aesthetic preferences and environmental consciousness, promoting sustainable lighting solutions.

• Publication year

  2024

• Venue

  E3S Web of Conferences

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1051/e3sconf/202458501011
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

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• No concepts are published for this paper.

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