IoT -based Smart Building Concept with Dynamic Energy Management in High-Rise Buildings

Abstract

Consumption energy electricity in the building tiered Keep going increase along with height activity users, needs cooling, and use device electronics, so that management strategy is needed energy efficient without reduce comfort occupants. Smart buildings based on the Internet of Things (IoT) are seen as solution through real-time monitoring, control automatic, and analysis predictive for optimize consumption energy. Research This aim designing a conceptual model of an IoT- based smart building with management energy systematic, practical, and neutral dynamic device. The model was developed through approach conceptual with a narrative review of literature related to IoT, adaptive energy optimization, and management energy building. Research results produce framework three stages that include sensor data input (temperature, light, humidity, and presence), processing unit AI -based for analysis and prediction need energy, as well as output in the form of control automatic HVAC and lighting for efficiency energy without reduce comfort residents. The model also offers contribution addition in the form of potential sustainability environment, predictive maintenance, and integration ecosystem energy such as smart grid and Building Information Modeling (BIM). With thus, the framework conceptual results generated can become base more smart building implementation efficient, adaptive, and sustainable, as well as push study advanced through testing prototype and validation empirical in the field.