A multi-criteria decision model to support sustainable building energy management system with intelligent automation

Abstract

With rising energy consumption in buildings, optimizing energy management is crucial for sustainability. This research pioneers the application of multi-criteria decision making (MCDM) techniques for real-time operational optimization of energy systems in buildings. A multicriteria decision analysis framework is used in this study to provide a model for decision making of generation and load 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 endeavor relies heavily on the deployment of sensor systems to prevent power wastage. 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. TOPSIS and MCE are two methodologies that can be used in the field of multi-criteria decision model (MCDM). The originality of this study lies in the development of a MCDM framework to assist consumers in identifying resilient and optimal combinations of energy efficiency, cost-saving, and Indoor Environmental Quality (IEQ) improvement strategies for buildings in Pakistan.