Built to order

IoT Biogas Digester Monitor with Methane, Pressure and Temperature Sensing

This project builds a monitor for a small biogas digester that watches three signals: methane concentration, gas pressure and digester temperature. An ESP32 reads an MQ-4 methane sensor, a pressure sensor and a DHT22, with a 20x4 LCD showing live readings and a plain status line — the demo runs on a bottle-scale digester with a collection balloon so gas production is visible. It gives students a safe, instrumented way to study anaerobic digestion instead of an unmonitored bottle in the corner. Suitable for B.E./B.Tech final-year projects in Electronics, Electrical and IoT & Embedded.

IoT Biogas Digester Monitor with Methane, Pressure and Temperature Sensing — project thumbnail preview
More project photos (2)

The problem

Small biogas digesters are usually built and then ignored: a bottle of slurry with a tube, producing gas nobody measures. Without instruments the student cannot tell whether the digester is healthy, stalled, or leaking — methane is odourless and invisible, pressure build-up is hidden, and temperature swings silently kill the methanogens. This project instruments a bottle-scale digester with an ESP32: an MQ-4 sensor watches methane concentration, a pressure sensor tracks gas build-up in the headspace, and a DHT22 reports digester temperature, with all three shown live on a 20x4 LCD alongside a status line. A balloon on the gas outlet makes production visible and gives the pressure reading something tangible to correlate with. The build is honest about its limits — the MQ-4 gives indicative readings that need calibration, and this is a teaching demo, not a certified gas-safety instrument.

How it works

  1. The bottle digester is charged with slurry and sealed; the gas outlet feeds a collection balloon.
  2. The MQ-4 methane sensor, pressure sensor and DHT22 report to the ESP32 on a timed sampling cycle.
  3. Firmware compares each reading against configured bands and sets the LCD status line (e.g. OK vs check-digester).
  4. The LCD refreshes each cycle with temperature, humidity, methane indication and pressure trend.
  5. The student logs readings against balloon inflation over days, building the production curve for the report.
  6. All thresholds are documented firmware constants, retunable for the student's feedstock.

Tech stack:

  • ESP32 DevKit (Arduino/C++ firmware)
  • MQ-4 methane gas sensor
  • Pressure sensor module
  • DHT22 temperature/humidity sensor
  • 20x4 character LCD
  • Bottle digester + balloon gas collector
Parameter Value
Controller ESP32 DevKit (design)
Methane sensing MQ-4 semiconductor sensor, indicative readings (design)
Pressure sensing Headspace pressure module (design)
Temperature sensing DHT22, ±0.5 °C typical (datasheet)
Display 20x4 character LCD (design)
Digester Bottle-scale demo reactor with balloon collector (design)
Supply 5 V DC regulated (expected)

Project features

  • [Methane sensing] An MQ-4 sensor monitors methane concentration near the digester headspace, with the reading shown live on the LCD.
  • [Gas pressure tracking] A pressure sensor follows headspace pressure as gas accumulates, correlated with the visible inflation of the collection balloon.
  • [Digester temperature monitoring] A DHT22 tracks the slurry temperature that the methanogens depend on.
  • [Live LCD status] A 20x4 LCD shows temperature, humidity, methane reading and a plain-language status line.
  • [Visible gas collection] The demo digester uses a bottle reactor with a balloon collector, so gas production is observable and measurable.
  • [Leak-awareness design] The methane channel exists to make invisible gas visible in the demo; the report teaches the limits of semiconductor gas sensing honestly.
  • [Viva-ready documentation] Report, PPT and Q&A cover anaerobic digestion basics, sensor interfacing and calibration limits.

What is included

  • Working monitor prototype (ESP32, MQ-4, pressure sensor, DHT22, 20x4 LCD)
  • Bottle-scale demo digester rig with balloon gas collector
  • Arduino firmware with bands and status logic
  • Wiring diagram and connection list
  • Digester charging and logging procedure
  • Project report PDF, PPT presentation and viva Q&A document

Limitations & prerequisites

  • The MQ-4 is a semiconductor sensor: its readings are indicative and drift with humidity, temperature and age — calibration against a known reference is required for anything beyond trend observation, and the report states this.
  • This is a teaching demo at bottle scale, NOT a certified gas-safety instrument; it must never be relied on for leak protection in a real installation.
  • Methane is flammable: the demo uses tiny quantities, no ignition sources are permitted near the rig, and the safety procedure in the report is mandatory reading.
  • Digester output depends on feedstock, temperature and time — gas production figures are the student's own logged observations, never pre-claimed.
  • The pressure sensor measures headspace pressure qualitatively for the demo; it is not a calibrated industrial gauge.

Frequently Asked Questions

How accurate is the methane reading?

The MQ-4 gives an indicative trend rather than a lab number: semiconductor sensors respond to methane but also drift with humidity, temperature and age. The report teaches this honestly and shows how to calibrate against a known reference for comparative work.

Is it safe to build a biogas digester for a college project?

At bottle scale with the documented safety procedure — tiny gas quantities, no ignition sources near the rig, ventilated workspace — yes, and the build ships with that procedure as mandatory reading. It is a teaching demo, not a gas appliance.

What does the balloon do?

It collects the produced gas visibly, so the student can correlate the pressure-sensor trend with actual inflation and even estimate daily production by balloon volume — a simple, honest measurement for the report.

How long before the digester produces gas?

Typically days to a couple of weeks depending on feedstock and temperature, which is exactly why the monitor exists: the student watches the startup curve instead of guessing. The report documents the expected timeline qualitatively.

Can the sensor detect a leak?

It can show elevated methane near the rig in the demo, which is a useful teaching observation — but the report is explicit that this build must never be used as leak protection for a real installation.

Is this project suitable for a final-year project?

Yes — for Electronics, Electrical and IoT & Embedded programs. It combines gas, pressure and temperature sensing with a real biochemical process and unusually honest instrumentation limits to discuss in the viva. Suitable for B.E./B.Tech final-year projects in Electronics, Electrical and IoT & Embedded.

Components & software requirements
  • ESP32 DevKit (Arduino/C++ firmware)
  • MQ-4 methane gas sensor
  • Pressure sensor module
  • DHT22 temperature/humidity sensor
  • 20x4 character LCD
  • Bottle digester + balloon gas collector
Delivery information

Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.

Support terms

Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.

Download abstract (PDF)

Related guides

All guides
Blueprint-style technical illustration of an ESP32 development board at the centre, with sensor nodes, data-flow arrows and a circuit-brain motif representing an AI agent reasoning and sending decisions back.Engineering students building IoT or embedded final-year projects who want to add local AI agent behaviour with ESP32, MQTT and a small language model.

AI Agents on ESP32: Agentic IoT Final-Year Projects

An agentic IoT system observes, reasons, acts, remembers and explains. On ESP32 that means a split architecture: the chip senses and acts while a small local model (Ollama on your laptop) reasons over MQTT — a full LLM needs gigabytes of RAM the chip doesn't have. This guide covers three working patterns (host-reasoned agent, on-device tinyML on ESP32-S3, and a hybrid of both), plus Wi-Fi CSI presence sensing, parts and budget for India, code shapes, and honest limits to state in your report.

Read guide
Technical illustration of three electronic control units linked by a twisted-pair CAN bus cable carrying signal pulses between them.Electronics, E&TC, IoT and robotics students who keep hearing “CAN bus” in EV, automotive and industrial project ideas and want to understand it properly before wiring anything

CAN Bus Basics for Students: How ECUs Communicate

CAN bus is the shared network that lets dozens of controllers in a car, EV or robot communicate over two wires. This guide explains message IDs, arbitration, the physical layer, frame structure, error handling and CAN FD, then walks through building a working two-node bench network with an ESP32 and a transceiver.

Read guide
Illustration of a quadcopter drone build showing labeled parts including frame, motors, propellers, ESCs, flight controller, and battery.B.E./B.Tech Electronics, Mechanical, and Computer Science students planning to build a quadcopter drone who need to select compatible parts without wasting money on mismatched

Drone Build: Parts Selection Guide

Picking drone parts that actually work together is a sizing problem, not a shopping problem. This guide walks the compatibility chain — frame to props to motors to ESCs to battery — with the thrust math, firmware choices, LiPo safety, and the bench-test order that prevents disasters.

Read guide
Get a quotation