Biogas is a renewable energy source produced by decomposing organic matter in the absence of oxygen. Without oxygen, organic matter is broken down in this process, producing a mixture of gases that may be used for a variety of tasks, such as heating, cooking, and producing power. In contrast to conventional fossil fuels, biogas is economical and sustainable. Additionally, it may be produced from waste products like animal manure and agricultural wastes, which has considerable economic advantages. Due to its capacity to lower greenhouse gas emissions and solve climate change challenges, biogas has grown in popularity. To find the most effective source of biogas, scientists are constantly studying different types of bacteria and organic waste. The biologists can receive assistance from technicians to expedite the development of this field. Assistance can be provided by enhancing the laboratory equipment to make them more intelligent, user-friendly, and productive, which is the focus of this research endeavour. This study's state-of-the-art is an Automatic Methane Potential Test System currently utilised in laboratories and available for purchase. This project aims to redesign the blending mechanism of the Automatic Methane Potential Test System. The system is designed to operate independently using CAN communication and an edge device (a smartphone) that connects to the system via Bluetooth. The application for smartphones is designed to communicate with a master controller using Bluetooth Classic to send and receive data. Which, in turn, uses CAN-bus to interact with 18 bioreactors remotely. The TMC5130 stepper motor controller is utilised in this project, offering cutting-edge characteristics that meet the project's needs. The system's components have each been individually tested on a prototype. The result is encouraging and shows that, with modest adjustments, the conceptual design might one day successfully replace the current system.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-63649 |
| Date | January 2023 |
| Creators | Bahtiti, Aref |
| Publisher | Mälardalens universitet, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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