  This work investigates the economic, social, and environmental impact of
adopting different smart lighting architectures for home automation in two
geographical and regulatory regions: Algiers, Algeria, and Stuttgart, Germany.
Lighting consumes a considerable amount of energy, and devices for smart
light-ing solutions are among the most purchased smart home devices. As
commercial-ized solutions come with variant features, we empirically evaluate
through this study the impact of each one of the energy-related features and
provide insights on those that have higher energy saving contribution. The
study started by investigating the state-of-the-art of commercialized ICT-based
light control solutions, which allowed the extraction of the energy-related
features. Based on the outcomes of this study, we generated simulation
scenarios and selected evaluations metrics to evaluate the impact of dimming,
daylight harvesting, scheduling, and motion detection. The simulation study has
been conducted using \textit{EnergyPlus} simulation tool, which enables
fine-grained realistic evaluation. The results show that adopting smart
lighting technologies have a payback period of few years, and that the use of
these technologies has positive economic and societal impacts, as well as on
the environment by considerably reducing gas emissions. However, this positive
contribution is highly sensitive to the geographical location, energy prices,
and the occupancy profile.
