Digital Twins and AI Management: Optimizing Biogas-Photovoltaic Systems for off-grid area
Biogas is often considered an energy alternative in off-grid areas, but a lack of knowledge, indifference towards biogas, and limited technical capacity prevent its promotion in these areas. In this paper, we proposed an IoT-based Intelligent intermixed biogas-photovoltaic system to address the challenges of fuel and energy supply in off-grid situations. This system was designed to provide reliable and clean energy for agricultural residents in underdeveloped regions. It incorporated a cloud server hosting AI algorithms, alongside sensor systems and data transmission networks within each biogas-photovoltaic hybrid installation. The system enables a affordable house-hold level of biogas production optimization, remote monitoring of biogas output, and remote maintenance.
Authors
- Yifei Ge (ORCID: https://orcid.org/0000-0003-3479-9802)
- Liston Matindife (ORCID: https://orcid.org/0000-0001-7270-8508)
- Eric Maluta
- L.B. Moyo (ORCID: https://orcid.org/0000-0002-4495-1022)
- Meng Lin (ORCID: https://orcid.org/0000-0001-8920-5464)
- Rui Zhang (ORCID: https://orcid.org/0000-0002-4441-4761)
- Zenghui Wang (ORCID: https://orcid.org/0000-0003-3025-336X)
- Nekhubvi Vhutshilo
Institutions
- Ritsumeikan University (JP)
- University of South Africa (ZA)
- National University of Science and Technology (ZW)
- University of Venda (ZA)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/icamechs63130.2024.10818836
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00