DESIGN AND IMPLEMENTATION OF AN IOT-ENHANCED HOUSEHOLD BIOGAS SYSTEM FOR EFFICIENT ENERGY PRODUCTION AND REAL-TIME MONITORING
Abstract
Traditional biogas systems, while effective in converting organic waste into usable energy, often
suffer from inefficiencies and lack of monitoring capabilities, leading to suboptimal performance
and potential safety risks. To address these challenges, remote monitoring of the system
condition is essential to diagnose or even predict the faults in advance and subsequently plan
the maintenance schedule in time. This paper presents a monitoring system of biogas-based
power generation system using Internet-of-Things (IoT) devices.The system design features a
continuous-feed digester equipped with temperature, pressure, and gas composition sensors to
optimize the anaerobic digestion process. Flow meters and leak detection sensors further enhance
the system’s safety and operational efficiency. IoT connectivity via Wi-Fi or cellular networks
allows for the real-time transmission of data to a cloud-based platform, where users can monitor
key performance indicators such as gas production rates, methane content, and system health
through a user-friendly dashboard. Data collection and management are facilitated by mobile
app and cloud platform for their interoperability and strong support of big data management.
The system shows that near real-time supervision of the biogas conditions such as energy
production, gas leakage, fire flame and many other parameters record can be obtained and
monitored. Intime data analyses of the operation scenarios are also provided to evaluate the
generation system performance as well as to discuss its fault diagnosis.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.