Abstract

The electrical lighting technique is one of the primary culprits behind a library's high energy usage and operating expenses. Unfortunately, lighting systems are often unregulated, resulting in suboptimal lighting conditions, while older buildings consume significant amounts of electricity. To reduce energy waste and usage, it is crucial to evaluate the entire library's performance, including indoor lighting, solar radiation, and interior temperature, from the initial design phase. The paucity of high-quality real-world data and procedural knowledge has hindered the accuracy of artificial intelligence (AI) models used in previous research. Consequently, the purpose of this study is to integrate distributed wireless sensor networks (WSN) and sensor techniques employing Internet of Things (IoT) and Building Information Modelling (BIM) approaches in order to reduce energy consumption by implementing a smart illumination technique. The purpose of this study is to examine the strategies and options involved in prototyping an IoT- and BIM-based intelligent illumination system and its effect on library maintenance. This paper presents several strategies for transforming the inefficient lighting system of a typical library into a sustainable one with a quick repayment period. This technology can substantially improve lighting control and energy efficiency by employing motion sensors to detect human movement and adjusting lighting in particular areas. As a result, this solution provides libraries with the opportunity to establish a more sustainable environment while simultaneously increasing productivity. This study concludes with strategies and solutions for instituting energy-efficient measures in libraries, particularly lighting systems. By integrating distributed wireless sensor networks and sensor techniques with IoT and BIM approaches, this research seeks to address the challenges posed by conventional lighting systems and enhance the energy efficiency of libraries as a whole.

Full Text
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