Future-Ready Library Buildings: AI and IoT for Equity and Compliance

Volume: 09 | Issue: 01 | Year 2026 | Subscription
International Journal of Sustainable Building Technology
Received Date: 02/09/2026
Acceptance Date: 02/17/2026
Published On: 2026-02-25
First Page: 19
Last Page: 24

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By: Sunil Sharma and Sobhagyawati Gupta.

1. Assistant Professor, Department of Architecture, Central University of Rajasthan, Bandar Seendri, Rajasthan, India
2. Assistant Librarian, Department of Library, Central University of Rajasthan, Bandar Seendri, Rajasthan, India

Abstract

Libraries are buildings presenting unique challenges when integrating different types of spaces under a single roof, like quiet reading spaces, central lobbies, book staging areas, archival rooms, discussion zones, seminar rooms, e-resources labs, etc. These spaces require specialized norms related to construction and involve varied daylighting requirements, anthropometric needs, indoor air environment requirements, and other specific functional needs. Moreover, libraries must follow various requirements mentioned in relevant IS codes, fire safety norms, the National Building Code, etc. Recent advancements in energy efficiency and sustainability codes, like the Energy Conservation and Sustainable Building Code (ECSBC), and their likely change in implementation from voluntary to mandatory for university library buildings have made library construction a complex interdisciplinary exercise requiring collective efforts between architects, energy consultants, and civil and mechanical engineers. Given this complexity, the role of Artificial Intelligence (AI) and the Internet of Things (IoT) will likely grow to fulfill mandatory requirements of the codes and standards mentioned above. AI can be effectively used in the generation of appropriate architectural plans, code compliance, and energy modeling. Its integration with IoT would be handy in achieving inclusive design standards (architecture for differently-abled people) and universal design standards. Moreover, Machine Learning (ML), a subset of AI, can be used for user-behavior forecasting, post-occupancy learning, and creating data-driven planning. This paper forecasts the prospects and presents a comprehensive study of the integration of AI and IoT, stressing the creation of inclusive buildings that support neurodiverse users with cognitive disabilities.

Keywords: Artificial intelligence, code compliance, inclusive design, Internet of Things, universal accessibility

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Citation:

How to cite this article: Sunil Sharma and Sobhagyawati Gupta Future-Ready Library Buildings: AI and IoT for Equity and Compliance. International Journal of Sustainable Building Technology. 2026; 09(01): 19-24p.

How to cite this URL: Sunil Sharma and Sobhagyawati Gupta, Future-Ready Library Buildings: AI and IoT for Equity and Compliance. International Journal of Sustainable Building Technology. 2026; 09(01): 19-24p. Available from:https://journalspub.com/publication/ijsbt/article=25110

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