Interfacing IoT Sensors with Library Energy Management Systems

Abstract

The integration of Internet of Things (IoT) technologies with Library Energy Management Systems (LEMS) presents a transformative approach to optimizing energy consumption within academic and public libraries. Libraries, as energy-intensive facilities, often face challenges in managing HVAC systems, lighting, and electronic resources efficiently. This study examines the integration of IoT-based environmental and occupancy sensors with existing LEMS to facilitate real-time monitoring, intelligent control, and datadriven decision-making. Incorporating temperature, humidity, motion, and light sensors into IoT systems enables libraries to make real-time adjustments, optimizing lighting and climate control systems based on actual environmental conditions and system usage. The study describes the system architecture and data integration methods for IoT devices, including communication protocols and platforms, with a focus on LEMS as the primary controller, utilizing MQTT and Zigbee. The pilot implementation in a university library surprisingly led to energy reduction and improved environmental comfort, as confirmed by a comparative analysis of energy consumption data before and after implementation. The system also promotes better predictive analytics and anomaly detection, which further enhances the operational and sustainability of library facilities. The research establishes key areas of concern, such as data security, system interoperability, and scalability of system components. The findings indicate the use of LEMS augmented with IoT systems to achieve the goals of green library projects and the intelligent, sustainable development agenda, specifying goals at the institutional level. This paper offers grounds for other policy recommendations on innovative energy management in the framework of knowledge institutions.