Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study

Abstract

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 lighting solutions are among the most purchased smart home devices. As commercialized 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 En-ergyPlus 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.

Social networks and communication behaviour underlying smart home adoption in the UK

“…Year-on-year market predictions, expecting rapid expansion, have fallen short (Accenture, 2016;Navigant Research Group, 2012;The Harris Poll, 2015) creating major disappointment within the industry (Accenture, 2016;OECD, 2018). SHTs which offer the greatest potential of improved energy efficiency and carbon reductions -referred to as energy-SHTs from herein -such as smart heating systems (BIT, 2017), smart lighting (Laidi et al, 2019) and smart appliances (Hsu and Lin, 2016) Vrain, E. and . "Social networks and communication behaviour underlying smart home adoption in the UK."…”

Research on energy purchase combination strategies for multiple energy commercial buildings considering multistage market uncertainties

“…EB generates heat energy by consuming electrical energy, while GB generates heat energy by consuming natural gas, as shown in the following equation [14] : (2) where H EB out (t) is the thermal power output of the EB at time t, λ E2H,EB is the energy conversion rate of converting electric energy into thermal energy for an EB and P EB in (t) is the electrical power input to the electric heating pot at time t. H GB out (t) is the thermal power output of the GB at time t, λ G2H,GB is the energy conversion rate of converting electrical energy to thermal energy in a GB. G GB in (t) is the gas power rate input to the gas boiler at time t.…”

“…MECB is a classic IES that includes many energy pipelines such as electricity, heat, and cooling [2]. The efficient, economical, and environmentally friendly operation of multi-functional commercial buildings relies on the careful choice of equipment and the strategic planning of integrated energy stations.…”

Literature review - Energy saving potential of user-centered integrated lighting solutions

“…Another study (Laidi, Djenouri and Ringel, 2019) investigated the economic, social, and environmental impacts of adopting different smart-lighting architectures, for home automation in two geographical and regulatory regions. Simulations were conducted for Algiers (Algeria), and Stuttgart (Germany), and the impact of dimming, daylight harvesting, scheduling, and motion detection was evaluated.…”