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Paper ID:IJSREM66076

Integration of Green Chemistry and Digital Technology for Sustainable Development and Smart Cities

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66076

Volume:

10 |

7 |

Jul 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66076

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DKD

Dr.MANOJ KUMAR DHANIYA

CHEMISTRY

SBS DEGREE COLLEGE SABALPURA SIKAR

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ST

SHWETA TOMAR

CHEMISTRY

Jayoti Vidyapeeth Women university, Jaipur

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RK

RAJESH KUMAR

Commerce

Nirwan University Jaipur

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DS

Dr.DEENDAYAL SHARMA

CHEMISTRY

Jayoti vidyapeeth Women University Jaipur

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Abstract

Sustainable urban development is becoming a global issue due to the rising strain on natural resources, environmental quality, and public health caused by the rapid speed of urbanization and industrialization. An inventive strategy to create resilient, resource-efficient, and ecologically sustainable smart cities is through the integration of digital technology and green chemistry. While digital technologies like artificial intelligence (AI), the Internet of Things (IoT), big data analytics, blockchain, digital twins, geographic information systems (GIS), cloud computing, robotics, and smart sensors enable intelligent monitoring, optimization, and management of urban systems, green chemistry encourages the design of safer chemicals, cleaner production methods, waste minimization, renewable feedstocks, and energy-efficient processes. When combined, these technologies help with pollution control, smart waste management, green transportation, circular economy principles, sustainable water management, and the integration of renewable energy. The Sustainable Development Goals (SDGs) of the United Nations, especially SDGs 3, 6, 7, 9, 11, 12, 13, and 17, are greatly aided by their convergence. This multidisciplinary approach is a key component of future smart and sustainable cities since it not only improves environmental sustainability but also urban governance, industrial competitiveness, and people' quality of life.

KEYWORDS

Artificial Intelligence Internet of Things Circular Economy Industry 4.0 Digital Twins Sustainable Urban Development Green Chemistry Smart Cities and SDGs

Cite This Article

Dr.MANOJ KUMAR DHANIYA, SHWETA TOMAR, RAJESH KUMAR, Dr.DEENDAYAL SHARMA, "Integration of Green Chemistry and Digital Technology for Sustainable Development and Smart Cities," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-10, Jul 2026. https://doi.org/10.55041/IJSREM66076

Full Article/Conclusion

To sum up, chemical products and processes may be crucial in facilitating the shift to more sustainable manufacturing methods, promoting the circular economy, and tackling the SDGs. Green chemistry seeks to minimize and eradicate dangerous compounds while advancing human and environmental health, resource conservation, and economic sustainability. By proposing how to apply the responsible roadmapping technique to include the ideas of responsible research and innovation into green chemistry practices, this work closes a significant gap. Different action plans for trans- and inter-disciplinary research and responsible innovation were produced by applying this strategy to three research projects that focused on safer and more sustainable production methods. By adding pertinent social, ethical, political, legal, and/or economic elements, the interdisciplinary roadmapping process broadened the plans' scope. The study shows that by employing responsible roadmaps, researchers can be empowered to plan how to maximize the positive effects of their research and innovation while minimizing risks and bad effects, and to accept responsibility for co-creating sustainable futures through their R&D efforts. Urban infrastructure is changing from reactive, static models to predictive, robust, and sustainable systems through the integration of Industry 4.0 technologies, particularly Artificial Intelligence (AI), the Internet of Things (IoT), and graph-theoretic optimization. An AI-IoT-graph architecture may reach a 94.1% predictive accuracy for bin overflows, resulting in a 50% decrease in overflow events, a 72.7% decrease in missed pickups, and a 15.5% reduction in fuel usage, according to a key case study in smart waste management.

References

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Publication Date

7/15/2026

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