Light serves various visual and non-visual human needs, influencing psychological and physiological aspects of perception, safety, mood, metabolic entrainment, health, and well-being. While daylight is naturally suitable to respond to these demands, the definition of a complementary electric lighting strategy that can support their fulfilment still proves elusive, particularly when issues of lighting sufficiency, heating and cooling loads, and risks of discomfort glare also need to be comprehensively considered. Available spectral simulation tools for estimating the circadian potential of a space – such as LARK, ALFA, or OWL – are mostly capable of performing point-in-time evaluations, limiting the opportunities to combine their results with climate-based annual daylight simulations that are today often used by designers to evaluate the performance of their lighting concepts. To address this, we propose a workflow within the umbrella of our OWL (Occupant Wellbeing through Lighting) tool, capable of estimating a design’s annual performance encompassing visual and non-visual metrics, together with energy needs. Hourly-annual spectra are pre-calculated for various locations using EPW weather files and existing spectral sky models in conjunction with the conversion method suggested in CIE015. These pre-simulated spectra along with EPW weather files serve as input for a Radiance Daylight Coefficient method-based calculation, which uses Truong’s approximation and simplified DGP approach to estimate annual grid-based horizontal and vertical metrics for sufficiency (CBDM), visual comfort (sDGP), and circadian potential. An intuitive visualization diagram is proposed and our design workflow is tested on a building case study to offer an example of application of this new tool.
Maskarenj, M., Crevits, V., & Altomonte, S. (2023). A new Radiance-based simulation workflow for modeling annual visual and non-visual metrics. The 21st International Radiance Workshop, Innsbruck, Austria. https://hdl.handle.net/2078.5/269287