# An ipRGC-influenced/Non-Visual Spectral Occupant Model for lighting design, Part 2: Photobiological model implementation

## TL;DR

This paper introduces a new lighting model that considers non-visual effects of light on human health and alertness.

## Contribution

The novel iNSOM model integrates photobiological data to predict circadian and alertness effects of lighting.

## Key findings

- iNSOM calculates annual melanopic irradiance and seasonal metrics for circadian dynamics.
- The model demonstrates differences between new and existing ipRGC-based lighting metrics.
- Example hospital scenarios show how lighting affects sleep and alertness.

## Abstract

This paper pilots a method for the assessment of non-visual lighting effects based upon annual full-spectrum lighting calculations termed an ipRGC-influenced/Non-Visual Spectral Occupant Model (iNSOM). iNSOM calculates annualized melanopic irradiance, described in our previous paper, and derives seasonal and time-of-day metrics based on a collection of photobiological models from Postnova et al., Abeysuria et al. and Tekieh et al. to predict circadian dynamics, alertness and melatonin levels due to light exposure. Quantitative outputs of these metrics and novel spatial visualizations are then used to evaluate lighting design based on the predicted intrinsically photosensitive retinal ganglion cell (ipRGC)-influenced effect on occupants. The model is demonstrated using an example hospital ward model and tested under three daylight, electric light and screen device operational scenarios and two types of sleep quality. A comparative analysis between iNSOM and existing ipRGC-influenced lighting design metrics and standards demonstrates how ipRGC-influenced alertness and health metrics differ from existing saturation-based ipRGC-influenced lighting metrics.