Real-Time Monitoring of Modular Carbon Capture Machines with Sensor Networks and Node-RED
Abstract— Carbon Capture (CC) technology captures carbon from the air for utilization or storage. Heavy industries utilize CC to reduce carbon emissions; however, there are no suitable CC solutions for micro, small, and medium industries (MSME). This paper investigates a real-time carbon dioxi...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Proceeding |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/46084/1/Real-Time_Monitoring_of_Modular_Carbon_Capture_Machines_with_Sensor_Networks_and_Node-RED.pdf http://ir.unimas.my/id/eprint/46084/ https://ieeexplore.ieee.org/document/10675555 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Abstract—
Carbon Capture (CC) technology
captures carbon from the air for utilization or storage.
Heavy industries utilize CC to reduce carbon emissions;
however, there are no suitable CC solutions for micro,
small, and medium industries (MSME). This paper
investigates a real-time carbon dioxide (CO2) monitoring
framework for fishery smoking machines used by cottage
industries. The proposed CO2 monitoring system uses a
wireless data transmission system with the XBee Pro
module. Data is sent to Node-RED software for collection,
monitoring, and analysis, providing stable data
transmission. A controlled experiment was conducted to
determine the CO2 measuring reliability of the MG-811
CO2 sensor, which is installed in the filter box of the
small-scale modular CC (MCC) machine, by comparing
its measured data to the CO2 emissions measured
manually with the Testo 440 CO2 digital measuring
probe. Data was collected every 15 minutes over a fourhour
span. It was found that the CO2 emissions measured
using the proposed real-time setup were consistent with
the values collected from the Testo 440 device. This
demonstrates that the small-scale modular CC machine
is a feasible and frugal engineering solution that can be
used to sequester CO2 emissions in cottage industry
settings. Furthermore, the results imply that a real-time
monitoring system employing low-cost materials with
minimal technological complexity, featuring wireless
data transfer with sufficient sensitivity, has the potential
to be deployed in heavy industries on a wider scale. |
|---|