Department of Library and Information Science, Guru Ghasidas Vishwavidyalaya (A central University Act 2009), Koni, Bilaspur, Chhattisgarh
Context: Libraries are becoming "green" institutions in response to the global climate imperative, which means they are trying to have less of an impact on the environment. Combining Artificial Intelligence (AI) with the Internet of Things (IoT) is a game-changing strategy to reach this goal, going from simple conservation to smart, data-driven stewardship. Objectives: This study seeks to examine the practical uses of AI and IoT in improving energy efficiency and resource management within library operations. It wants to show how these technologies may improve building systems, make better use of materials, and encourage long-term user interaction. In the end, it wants to provide a model for modern green libraries. Methods: The suggested framework calls for setting up an IoT sensor network to keep an eye on real-time data on occupancy, temperature, lighting, and the status of equipment. AI systems, such as machine learning models, look at this data stream to find trends, automate controls, and give facility managers and workers useful insights. Results: Using this AI-IoT synergy leads to big changes: HVAC and lighting systems that adapt to save energy, better use of space and collections, predictive maintenance that stops waste, and data-driven plans to cut down on water and paper use. The library changes into a place that is responsive and works well. Conclusion: Libraries may take the lead in sustainability by using both AI and IoT together. Not only does this strategy save a lot of money and resources, but it also strengthens the library's function as a community model for environmental stewardship and technological innovation, creating a new standard for how institutions should work.
Libraries all around the world are adopting green methods that have less of an impact on the environment while still providing good services. This is because people are becoming more aware of the importance of sustainability and environmental responsibility. Green libraries use sustainable architecture, renewable energy, and smart technologies to save energy, make the most use of resources, and run their businesses in an environmentally friendly way. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has gotten a lot of attention as a powerful way to improve energy efficiency and resource management in current library systems.
The Internet of Things is made up of connected gadgets and sensors that collect and share real-time data. Artificial intelligence is the ability of computers to learn, think, and make decisions. AI and IoT work together to make smart environments that can keep an eye on, analyze, and improve the performance of buildings on their own. IoT sensors in green libraries can keep track of things like temperature, humidity, lighting levels, occupancy, and energy use. AI algorithms may then use this information to predict demand, automate control systems, and make operations more efficient (Bibri & Krogstie, 2020). One of the best things about combining AI and IoT in green libraries is that it makes them more energy-efficient. Smart lighting systems with motion sensors and daylight detectors may automatically change the brightness of the lights based on how many people are in the room and how much natural light is available. AI-powered heating, ventilation, and air conditioning (HVAC) systems may also change the temperature and humidity within a building based on how people use it and the weather outside. This saves energy and lowers operating costs (Ahmad et al., 2021). Predictive analytics also make it possible to do repair on equipment before it breaks down, which stops energy loss from broken systems.
AI and the Internet of Things (IoT) are also very important for making the most use of resources and delivering services. Smart water management systems can find leaks and control how much water is used. Smart inventory and asset management tools make sure that both digital and physical resources are used efficiently. Also, data-driven insights help library administrators make smart choices by helping them link their sustainability goals with the demands of users and the aims of the institution (Khan et al., 2022). As libraries become more and more like places where people can study together, these technologies help make them more comfortable for users, more resilient in their operations, and better for the environment. In short, using AI and IoT technology is a significant step forward in the development of green libraries. These smart technologies help businesses stay sustainable by allowing real-time monitoring, automated control, and predictive resource management. They also improve efficiency and service quality. Libraries that want to be environmentally responsible while still embracing new technologies in the digital era need to keep using them.
REVIEW OF LITERATURE
As libraries try to make their operations more in line with global sustainability goals, the idea of green libraries has gotten more and more attention from scholars. Early research on green libraries mostly looked at how to develop buildings that are good for the environment, how to make buildings that use less energy, and how to employ renewable energy sources (Antonelli, 2008). Recent research, on the other hand, shows a trend toward using digital technologies, especially Artificial Intelligence (AI) and the Internet of Things (IoT), as advanced tools to make libraries more energy-efficient and better at managing resources. Studying how IoT can be used in smart and green buildings gives us a basic idea of how sensor-based systems can be used in libraries. IoT technology let you keep an eye on things like temperature, humidity, lighting, and occupancy in real time, which are all important for managing energy use. Gubbi et al. (2013) and Zanella et al. (2014) both show that sensors and equipment that are connected to each other can help with data-driven automation, which cuts down on energy use that isn't needed. When it comes to libraries, these systems let you adjust the lighting and HVAC based on who is there, which saves a lot of energy. AI makes IoT even better by letting it do predictive analysis and make smart decisions. Ahmad et al. (2021) looked at how AI is used in smart buildings and discovered that machine learning algorithms can predict how much energy will be needed, improve system performance, and find problems. Bibri and Krogstie (2020) also say that AI-driven analytics are necessary for building smart and sustainable infrastructures, including public institutions like libraries. Their research shows that AI can help with long-term planning for sustainability and cut down on operating expenditures. There have been a number of studies that looked at how AI and IoT may work together to manage resources. According to Khan et al. (2022), AIoT (Artificial Intelligence of Things) systems make it possible to do proactive maintenance, manage assets more effectively, and allocate resources more efficiently. In libraries, this includes smart systems for managing water, automated methods for keeping an eye on equipment, and smart ways to use digital resources. Asemi, Safari, and Zavareh (2011) also found that intelligent systems help libraries make better decisions by looking at a lot of operational data. Even while there is more and more research on the subject, there are still not many studies that focus explicitly on using AI and IoT in green libraries. Most of the research that has been done so far takes what it has learned from smart buildings and smart cities and applies it to libraries. This gap shows that we need real-world research that look at how libraries use AI and IoT, the problems they face, and the results they get. Overall, the research shows that AI and IoT technologies have a lot of potential to improve energy efficiency and resource management. This makes them important factors in the growth of smart and sustainable green libraries.
Statement of the Problem
Green libraries want to use less energy and manage resources in a way that is good for the environment. However, many still use old systems that are not very efficient and don't have real-time monitoring or automation. The library's limited use of Artificial Intelligence (AI) and the Internet of Things (IoT) makes it hard to manage energy well, use resources wisely, and make decisions based on data. Libraries can't reach their aims of better energy efficiency and better resource management because there is a gap between their goals for sustainability and the usage of smart technologies.
Objectives of the Study
Hypotheses of the Study
RESEARCH METHODOLOGY
This study utilises a mixed-methods research methodology, integrating both quantitative and qualitative methodologies to investigate the amalgamation of Artificial Intelligence (AI) and the Internet of Things (IoT) in green libraries, emphasising energy efficiency and resource management.
Research Design: The study employs an exploratory-descriptive methodology. Exploratory methods assist in recognising nascent trends in AI- and IoT-driven sustainable practices inside libraries, whilst descriptive methods provide a systematic assessment of their efficacy in practical settings.
Data Collection Methods
Quantitative Data: Using IoT sensors to gather real-time information about energy use, weather (temperature, humidity, lighting), and how many people are in a room. AI-based analytics to keep an eye on and improve how HVAC systems, lighting, and digital services are used. Gathering statistics on energy use before and after deployment for comparison.
Qualitative Data: Semi-structured interviews with librarians, administrators, and IT personnel to find out how they feel about AI-IoT adoption, what problems they see, and what chances they see. Surveys of library users to find out how aware they are of, how satisfied they are with, and how easy it is to use smart, green library services. Examination of sustainability reports, policy documents, and energy audit records from the libraries that took part.
sample: A purposive sample method will be employed to identify libraries actively involved in sustainability programs or pilot projects related to AI and IoT. We will look at both academic and popular libraries to get a wide range of ideas.
Data Analysis, Interpretation, and Presentation
Researchers looked at the data they had collected to see how Artificial Intelligence (AI) and the Internet of Things (IoT) affected energy efficiency and resource management in green libraries. Fifty library professionals answered using a five-point Likert scale.
Table 1: Impact of AI and IoT on Energy Efficiency in Green Libraries
|
Aspect of Energy Management |
Strongly Agree |
Agree |
Neutral |
Disagree |
Strongly Disagree |
Mean Score |
|
Smart lighting reduces energy consumption |
22 |
18 |
6 |
3 |
1 |
4.14 |
|
AI-based HVAC systems improve efficiency |
20 |
19 |
7 |
3 |
1 |
4.08 |
|
Real-time monitoring minimizes energy waste |
24 |
17 |
5 |
3 |
1 |
4.20 |
|
Predictive maintenance reduces power loss |
21 |
18 |
6 |
4 |
1 |
4.08 |
Interpretation:
The average scores for all areas are above 4.0, which shows that most people agree that AI and IoT technology make green libraries much more energy efficient. Real-time energy monitoring had the highest average score (4.20), which shows how well it works to cut down on energy waste.
Diagram: Impact of AI and IoT on Resource Management
Table 2: AI and IoT Applications in Resource Management
|
Resource Management Area |
Agree (%) |
Neutral (%) |
Disagree (%) |
|
Efficient resource allocation |
82 |
12 |
6 |
|
Automated asset tracking |
78 |
14 |
8 |
|
Smart water usage monitoring |
70 |
18 |
12 |
|
Digital resource optimization |
80 |
13 |
7 |
Interpretation:
Most of the people who answered the survey said that AI and IoT help green libraries manage their resources better. The most agreement was for efficient resource allocation (82%) and optimal digital resource consumption (80%). This shows that smart systems are very important for making operations more efficient and sustainable.
Overall Interpretation
The analysis shows clearly that combining AI and the Internet of Things has a big and positive effect on both energy efficiency and resource management in green libraries. A lot of people agreed with the study's hypotheses, which shows that AI- and IoT-based solutions make libraries more sustainable, use less energy, and make better use of resources.
Findings
Suggestions
CONCLUSION
Combining Artificial Intelligence (AI) with the Internet of Things (IoT) is a big step forward in the creation of green libraries that focus on sustainability and running smoothly. This study shows that libraries can keep an eye on, assess, and improve their energy use with smart lighting, automatic HVAC systems, and real-time data collection. These smart solutions help libraries save energy, cut costs, and have less of an impact on the environment. The results also show that AI and IoT are very important for good resource management since they help with predictive maintenance, making the most use of digital and physical resources, and optimizing the usage of both. Making decisions based on data makes operations run more smoothly and makes sure that users are more comfortable and the quality of service is better. Even if there are problems like high upfront costs, the need for technical knowledge, and worries about data security, the long-term benefits of using smart technology are greater than these problems. In conclusion, the study confirms that the integration of AI and IoT is crucial for evolving libraries into sustainable, energy-efficient, and intelligent knowledge hubs. Libraries can fulfill the changing requirements of users in the digital era and help the world reach its sustainability goals by using these technologies.
REFERENCE
Akash Sharma*, Bhanu Pratap Sharma, Swati Tiwari, Brajesh Tiwari, Artificial Intelligence and Internet of Things in Green Libraries: Enhancing Energy Efficiency and Resource Management, Int. J. Sci. R. Tech., 2026, 3 (2), 90-96. https://doi.org/10.5281/zenodo.18519884
10.5281/zenodo.18519884
