Page 929
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026
Modeling and Simulation of Smart Technology for Sustainable Utilization
of Municipal Solid Waste: A Case Study of Bishnupur Municipality
Brojendra Nath Dey
1
, Ananta Kumar Das
2
, Atanu Pal
2
, Asish Mitra
3
1
Assistant Professor, Department of Basic Science & Humanities MCKV Institute of Engineering,
Howrah, West Bengal, India
2
Professor, Department of Renewable Energy Engineering, Maulana Abul Kalam Azad University of
Technology, WB, India
3
Professor, Department of Basic Sciences & Humanities
College of Engineering & Management, Kolagat
Purba Medinipur, West Bengal, India
DOI: https://doi.org/10.51583/IJLTEMAS.2026.150400083
Received: 10 April 2026; Accepted: 15 April 2026; Published: 11 May 2026
ABSTRACT
Rapid urbanization in Bishnupur Municipality, Bankura District, has outpaced the capacity of conventional
municipal solid waste (MSW) management systems, leading to environmental degradation and resource
inefficiency. This study proposes a sustainable MSW management model integrating smart technologies,
including waste segregation, recycling, and Waste-to-Energy (WTE) systems. A focused field study was
conducted on cattle sheds (Khatals) to quantify organic waste generation and assess its potential for biogas
production. The data analysis reveals that proper management of cattle waste alone could mitigate approximately
15 tons of methane annually, significantly reducing the municipality's carbon footprint. This research provides
a strategic framework for adopting smart waste solutions in small-to-medium Indian municipalities to foster a
circular economy.
Keywords: Municipal Solid Waste, Smart Waste Management, Biogas, Waste-to-Energy, Sustainability,
Bishnupur.
INTRODUCTION
The rapid urbanization of Indian cities has triggered a surge in municipal solid waste (MSW) generation, creating
critical public health and environmental challenges. Bishnupur Municipality in West Bengal is no exception,
where traditional waste management practicescharacterized by inefficient collection and open dumpingare
struggling to cope with increasing waste volumes. The lack of infrastructure for segregation and recycling has
resulted in pollution and the loss of potentially valuable resources (1).
Emerging "smart city" technologies offer a viable solution to these inefficiencies. Innovations such as sensor-
equipped bins, AI-powered sorting, and Waste-to-Energy (WTE) systems can revolutionize waste handling by
optimizing collection routes and maximizing resource recovery (2). While major metropolitan cities have begun
adopting these tools, smaller municipalities like Bishnupur often lack the framework to implement them
effectively. This research aims to bridge that gap by modeling a smart waste management framework for
Bishnupur. Specifically, it assesses the potential of organic waste recoveryfocusing on cattle shed wasteas
a pilot for a broader WTE strategy. By quantifying this waste stream, we demonstrate the economic and
environmental feasibility of integrating smart technologies into the municipality’s infrastructure.
Background and Study Area
Bishnupur Municipality, established in 1873, is a historic town in the Bankura District of West Bengal. Known
for its terracotta temples and heritage tourism, the town faces unique waste management challenges due to its
floating tourist population.
Page 930
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026
Demographics: The municipality comprises 19 wards with a population of approximately 88,481 (growth
rate of 2%).
Land Use: The total municipal area is 22.02 sq. km, dominated by residential zones (10.02 sq. km) and
agricultural land (2.60 sq. km).
Waste Profile: The town generates approximately 7282 MT of solid waste daily. A sample analysis
reveals a composition of 53.3% plastics, 33.3% biodegradables, 6.7% paper, and smaller fractions of
metals and glass.
Currently, waste is disposed of in low-lying open dumps 4 km from the town center, posing severe risks to
groundwater quality and air hygiene.
Smart Waste Management: Literature Review
The integration of Information and Communication Technology (ICT) in waste management is transforming
urban sustainability.
Smart Collection: Internet of Things (IoT) sensors in waste bins can monitor fill levels in real-time,
optimizing collection logistics and reducing fuel consumption (1)(7).
AI Segregation: Artificial Intelligence and machine learning algorithms are increasingly used to
automate waste sorting, significantly improving the purity of recyclable streams compared to manual
sorting (4).
Waste-to-Energy (WTE): Technologies such as anaerobic digestion are critical for managing organic
fractions. Studies indicate that converting biodegradable waste into biogas not only reduces landfill
volume but also produces renewable energy, aligning with circular economy principles (2)(5).
While cities like Bengaluru and Chennai have successfully piloted RFID-enabled bins and tracking systems (7),
smaller towns require adapted, cost-effective models.
METHODOLOGY
To assess the feasibility of a smart organic waste management system, this study focused on a high-yield organic
waste sector: Cattle Sheds (Khatals).
Data Collection
A comprehensive survey was conducted across the municipality’s cattle sheds using direct field interviews and
GPS mapping. Key data points included:
Geo-location and Ward number of each shed.
Number of livestock.
Daily fresh cow dung generation (measured in kg).
Current disposal methods.
Data Analysis
The collected data was analyzed to estimate total organic load and potential environmental benefits:
Quantification: Total daily dung generation was aggregated from all surveyed units.
Page 931
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026
Emission Modeling: Methane (CH₄) emissions were calculated using standard emission factors (1 kg
fresh dung ≈ 0.023 kg CH₄ if unmanaged).
Reduction Potential: We estimated the reduction in Green House Gas (GHG) emissions achievable
through anaerobic digestion (biogas plants).
RESULTS AND DISCUSSION
Waste Generation Analysis
The field survey indicated that cattle sheds in Bishnupur generate approximately 1,900 kg of fresh cow dung
daily. Currently, much of this waste is managed informally or discharged into drains, contributing to sanitation
issues.
Environmental Impact and Methane Reduction
Unmanaged organic waste is a significant source of methane, a potent greenhouse gas.
Baseline Emissions: Without intervention, the daily generation of 1,900 kg of dung releases
approximately 43.7 kg of CH₄ per day, totalling ~15,950 kg of CH₄ annually.
Mitigation Strategy: Implementing biogas digesters could capture 9095% of these emissions. This
would result in an annual reduction of approximately 15,150 kg of methane.
Carbon Equivalent: Given that methane has a Global Warming Potential (GWP) 28–34 times that of CO₂,
this reduction is equivalent to preventing nearly 420 metric tons of CO₂ emissions per year.
Proposed Smart Framework
Based on these findings, we propose a modular smart management system for Bishnupur:
1. Smart Collection: Deploy IoT-enabled bins at major cattle sheds and market areas to alert collection
trucks when full.
2. Decentralized Biogas Units: Establish small-scale biogas plants near high-density cattle sheds to process
the 1.9 MT/day load locally, reducing transport costs.
3. Data Integration: Use a central digital dashboard to monitor waste inflow (from smart bins) and energy
output (from biogas units), allowing municipal authorities to track efficiency in real-time.
CONCLUSION
This study demonstrates that Bishnupur Municipality holds significant potential for sustainable waste
management modernization. The current reliance on open dumping is unsustainable given the town's growth and
tourist influx. Our analysis of the cattle shed sector alone reveals that targeted organic waste processing can
mitigate over 400 tons of CO₂-equivalent emissions annually while producing renewable energy.
By adopting the proposed smart frameworkintegrating sensor-based collection and waste-to-energy
processingBishnupur can transition from a linear "dumping" model to a circular economy. This approach
serves as a scalable template for other small-to-medium Indian municipalities aiming to balance urbanization
with environmental stewardship.
REFERENCES
1. Yadav, M., & Sharma, S. (2022). Smart waste management and recycling strategies for urban
sustainability. Journal of Environmental Management, 292, 112847.
Page 932
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue IV, April 2026
2. Zeng, X., & Li, J. (2020). Municipal solid waste-to-energy conversion: Prospects and challenges in
China. Energy, 204, 117899.
3. Kaza, S., Yao, L., Bhada-Tata, P., & Van Woerden, F. (2018). What a Waste 2.0: A Global Snapshot
of Solid Waste Management to 2050. World Bank Group.
4. Rahman, M. H., & Ali, M. H. (2019). Sustainable waste management in smart cities: Challenges and
solutions. Environmental Science and Pollution Research, 26(6), 5668-5684.
Suthar, S., & Patel, R. (2021). Municipal solid waste management and waste-to-energy technologies:
A review. Renewable and Sustainable Energy Reviews, 134, 110388.
5. Wagland, S.T., & Tyrrel, S.F. (2010). Test methods to aid in the evaluation of the diversion of
biodegradable municipal waste (BMW) from landfill. Waste Management, 30, 934-935.
Vijayan, M., Manohar, R., & Sundar, A. (2020). Smart waste management in Bengaluru: A case
study. Waste Management and Research, 38(5), 494-503.
6. Chang, N.B., & Wang, S.F. (1997). A fuzzy goal programming approach for the optimal planning of
metropolitan solid waste management systems. Operational Research, 99, 934-935.
Joos, W., Carabias, V., Winistoerfer, H., & Stuecheli, A. (1999). Social aspects of public waste
management in Switzerland. Waste Management, 19, 417-425.
7. Nema, A. K., & Gupta, S.K. (1999). Optimization of regional hazardous waste management systems:
an improved formulation. Waste Management, 19, 441-451.
8. Boyle, C.A. (2000). Solid waste management in New Zealand. Waste Management, 20, 517-526.
Sahu, A. K. (2007). Present Scenario of Municipal Solid Waste (MSW) Dumping Grounds in India.
Proceedings of the International Conference on Sustainable Solid Waste Management, Chennai,
India, 327-333.
9. Kontogianni, S., Xirogiannopoulou, A., & Karagiannidis, A. (2008). Investigating solid waste
production and associated management practices in private dental units. Waste Management, 28,
1441-1448.
10. Chung, S., Lau, K.Y., & Zhang, C. (2010). Measuring bulky waste arising in Hong Kong. Waste
Management, 30, 737-743.
11. Larsen, A.W., Merrild, H., Møller, J., & Christensen, T.H. (2010). Waste collection systems for
recyclables: An environmental and economic assessment for the municipality of Aarhus (Denmark).
Waste Management, 30, 744-754.
12. Yañez, R., Bueno, P., Rivera, A., García-Barneto, A., & az, M.J. (2010). Selective organic
compounds degradation under controlling composting conditions. Waste Management, 30, 755-763.
13. Jianguo, J., Yong, Y., Shihui, Y., Ye, B., & Chang, Z. (2010). Effects of leachate accumulation on
landfill stability in humid regions of China. Waste Management, 30, 848-855.
Zhang, D., Keat, T. S., & Gersberg, R. M. (2010). A comparison of municipal solid waste
management in Berlin and Singapore. Waste Management, 30, 921-933.
14. Ali, E. H., & Abbas, El-Z. (2010). Life-cycle assessment of municipal solid waste management
alternatives with consideration of uncertainty. Waste Management, 30, 902-911.
(20) Daskalopoulos, E., Badr, O., & Probert, S.D. (1998). An integrated approach to municipal solid
waste management. Resources, Conservation and Recycling, 24, 33-50.