Enhanced Real-Time CO₂ Monitoring Framework with IoT Integration for Domestic-scale Carbon Capture Machine

Annisa, Jamali and Lidyana, Roslan and Abang Mohammad Nizam, Abang Kamaruddin and Ahmad Rizal, Ahmad Bokhari and Ahmad Zaki, Abu Bakar and Nur Tahirah, Razali (2025) Enhanced Real-Time CO₂ Monitoring Framework with IoT Integration for Domestic-scale Carbon Capture Machine. In: 2025 IEEE 11th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 10-11 September 2025, Kuala Lumpur, Malaysia.

PDF Enhanced Real-Time.pdf Download (1MB)

Abstract

This paper presents an enhanced real-time Carbon Dioxide (CO₂) monitoring framework for a Domestic�scaled Carbon Capture Machine (DSCCM) developed for small�scale fish-smoking operations in cottage industries. The system incorporates a three-stage emission filtration and treatment process consisting of: (i) a high-temperature catalyzer for filtering particulates and converting volatile compounds such as carbon monoxide (CO) and polycyclic aromatic hydrocarbons (PAHs) into CO₂, (ii) a water-based scrubber to separate CO₂ from ambient air, and (iii) a low-temperature catalyzer to ensure that residual emissions are rendered non-toxic CO₂. CO₂ concentrations before and after capture are monitored using industrial-grade Non-Dispersive Infrared (NDIR) sensors (SKU: 101991028), integrated with a Raspberry Pi-based Node�RED dashboard for real-time data visualization and analytics. Experimental validation demonstrated a CO₂ scrubbing efficiency ranging from 73.56% to 90.79%, with notably narrow ±3–8% deviation margin when compared to a calibrated Testo 440 reference device. The system is cost-effective, modular, and suitable for deployment in unregulated emission environments, contributing to more inclusive carbon mitigation strategies in rural and artisanal industries.

Actions (For repository members only: login required)

View Item