A Multi-Criteria Decision Model to Support Sustainable Building Energy Management System with Intelligent Automation /

Abstract

Energy management is improved by smart devices that enable two-way communication. Building Energy Management technology (BEMS) seems as a desirable sustainable technology, giving the capacity to decrease energy consumption and expenses while ensuring the best working conditions. A multicriteria decision analysis framework is used in this study to provide a model for decision making of generation and source balance. To assess the selection criteria, a thorough investigation is undertaken. The decision-based sustainable framework across conflicting criteria (encapsulating equal and objective weights) and aims towards the suitable trade-off solution. The framework is applied on workshop building across load-generation balance and is benchmarked with hardware. The research endeavour relies heavily on the deployment of sensor systems to prevent power wastage. These sensor systems are essential for automatically turning off lights in inactive areas, thereby reducing unnecessary power consumption. Moreover, temperature devices within the workspace have been equipped with automated adjustment capabilities. By incorporating sensor systems, solar power usage control becomes smarter and more adaptable, enabling real-time modifications according to environmental conditions and energy requirements. This maximizes the overall efficiency and effectiveness of solar energy systems. Furthermore, the integration of sensor systems in solar power usage control improves reliability and maintenance through the identification and alerting of potential problems.