International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 06 | Jun 2024
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
Waste monitoring system for sustainable electricity generation Mrs.Monikashree T S1, Kshama Sannagoudar2, Lavi Singh A3,Sindhu Patil4,Vaishnavi M Iyengar5 1Assistant Professor, EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India 2345B.E, EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India
---------------------------------------------------------------------***--------------------------------------------------------------------2. OBJECTIVES Abstract -The current emphasis on cleanliness in India, spurred by both individual and governmental efforts, acknowledges the inadequacy of traditional waste management practices in tackling the challenges posed by urbanization and industrialization. The escalating volume of non-biodegradable waste contributes to environmental pollution and health issues, necessitating innovative solutions. One such proposal involves generating electricity from solid waste, aiming to mitigate pollution and address the power crisis by utilizing abundant waste resources. This Waste to Energy concept holds promise for sustainable energy production and environmental preservation in India.
The project comprises three main components: a waste monitoring system utilizing Raspberry Pi technology for real-time data collection, an automated sorting mechanism driven by Arduino technology to efficiently segregate dry waste materials, and a waste-to-energy conversion process for electricity generation. Through controlled combustion of materials like paper and dry leaves, heat energy will be harnessed and converted into electricity. The system's performance and feasibility will be rigorously evaluated to ensure scalability and suitability for urban waste management, promoting sustainable practices at a broader scale.
Key Words: Waste monitoring system, Raspberry Pi, Electricity Generation
3. METHODOLOGY
1. INTRODUCTION
A. WASTE MONITORING SYSTEM
Addressing the critical challenge of waste management in the context of rapid urbanization and industrialization, our project proposes an innovative solution: using waste materials to generate electricity. This approach not only contributes to waste reduction but also aligns with the goals of sustainable energy generation and circular economy practices. Our holistic approach involves three key stages: Monitoring, Sorting, and Generation. Through Raspberry Pi technology, we monitor dry waste in real time, enabling data-driven decision-making. We automate sorting with Arduino technology, enhancing efficiency and material quality. Finally, we harness the energy potential of sorted waste materials to generate electricity sustainably, thereby revolutionizing waste management and promoting ecofriendly energy production.
• Waste collection: Waste materials are collected and
monitored from various sources, such as households, businesses, and industries, and transported to a waste- toenergy plant. • Waste handling and Monitoring: The system detects parameters like distance with the help of two ultrasonic sensors. Some predefined values of these sensors are stored in Raspberry Pi. • Management of filled container: When the contact value is reached the LED begins to glow, if the garbage bin is completely filled then both the LED glows otherwise, only one LED glows. This results in the ringing of the buzzer.
B. METAL SORTING SYSTEM This typically includes a conveyor belt to move waste. • Setup and Calibration: Set up the metal detector module and the sound sensor in the waste processingline. • Metal detection: when metal is passed over a metal detector module, the sound is produced by the module, which is taken as an input for the sound sensor. • Metal sorting: the sound detected will activate the servo motor to divert waste when metal is detected or when a certain sound threshold is exceeded, indicating the presence of metal.
1.1 PROBLEM STATEMENT The management of municipal solid waste is a significant challenge in urban areas, leading to pollution, resource depletion, and health risks. Traditional fossil fuel reliance on electricity worsens climate change. Innovative solutions are needed to improve waste management and utilize waste for renewable energy. Existing systems lack efficient monitoring and sorting, hindering resource recovery. This project proposes a solution using Raspberry Pi and Arduino to monitor, sort, and generate electricity from dry waste, aiming to optimize waste-to-energy conversion and promote sustainable electricity generation.
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