Design of Interior Layout Optimization Algorithm for Residential Buildings Based on Virtual Reality Technology

Abstract

Virtual Reality (VR) is a computer-generated simulation of a three-dimensional environment that can be interacted with in a seemingly real or physical way by a person using special electronic equipment. VR experiences should be accessible to a wide range of users, including those with disabilities. Addressing issues related to accessibility and inclusivity is vital for promoting equal opportunities for all users. The demand for energy-efficient and sustainable solutions in residential buildings has become a pressing global concern. To address this challenge, this paper proposed an innovative Autonomous Illumination Control Scheme designed to optimize energy usage, illumination levels, and occupant satisfaction in residential settings. The system integrates Wireless Fidelity (Wi-Fi) positioning systems and motion sensors, enabling real-time occupancy detection and dynamic adjustment of lighting levels based on natural lighting conditions. By incorporating adaptive illumination control and time-based scheduling, the system efficiently manages energy consumption and significantly reduces electricity costs. Furthermore, the system is integrated with Renewable Energy Sources (RES), Energy Storage Systems (ESS), and Electric Vehicles (EVs), providing a Home to Grid (H2G) and Vehicle to Grid (V2G) functionality. The RES electricity powers domestic appliances and charges ESS/EV, while the latter contribute to demand response programs by charging at low costs and discharging at high prices. In the experimental analysis, the proposed system is evaluated in a real-world testbed with varying occupancy scenarios and lighting conditions. The results demonstrate its effectiveness in achieving substantial energy savings while maintaining occupant comfort and satisfaction. Additionally, a multi-objective problem analysis provides insights into the trade-offs between energy cost, power acquisition rate, and occupant discomfort, enabling personalized system configurations to align with specific user preferences.