Energy efficiency policies (EEPs), including minimum energy performance standards (MEPS) and energy labels, serve as crucial instruments to drive countries towards enhancing the energy efficiency of end-use products. In the realm of LED light products, the majority of globally established EEPs primarily target luminous efficacy. However, light not only represents energy consumption but also significantly impacts on visual tasks in humans. Consequently, there is a need to assess the visual and circadian performance of these products. This study presents a labelling model for indoor LED light products, incorporating parameters related to energy performance, visual performance and circadian performance. The proposed labelling programme is formulated utilising multi-criteria decision-making (MCDM) methods such as elimination and choice translating reality (ELECTRE) and analytic hierarchy process (AHP). The model is applied in the Colombian context as a case study, with a laboratory evaluation of a sample of 25 product references from the Colombian market to validate the model. The study concludes that the AHP Sort method is well-suited for evaluating the overall performance of indoor LED light products by integrating energy, visual and circadian performance considerations.
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