Energy recovery and Analysis of performance criteria of the energy potential of biomass for the production of electricity |
( Vol-12,Issue-4,April 2025 ) OPEN ACCESS |
Author(s): |
P. Kyomba Mulenda, T. Lwamba Muba |
Keywords: |
Biogas, biomass, electricity, methanisation, Gaussian Mixture Model (GMM), DEEPLEARNING. |
Abstract: |
This study focuses on the field of energy. Electricity production is an industrial sector that supplies consumers with electrical energy adapted to their needs. With current ecological and environmental requirements in the world, which wants to be more and more sustainable and non-polluting. The electricity production sector is seeking to exploit new sources of clean energy to align with today's sustainable context. The SDG . 7 for example is a leitmotif of the neo-producer of electricity in the 21st century who wants to guarantee access to reliable, sustainable and modern energy services for all at an affordable cost. So we made the choice of biomass in this work, as a source of primary, unlimited, non-polluting energy to produce, following its biochemical decomposition and fermentation, biogas which will be the raw material which will help us in the production of a electricity at a good price and accessible to large masses of the world population, two methods of analyzing energy performance criteria are developed in this work for a good selection of biomass, namely Gaussian Mixture Model (GMM) and DEEPLEARNING. |
Article Info: |
Received: 12 Mar 2025, Receive in revised form: 16 Apr 2025, Accepted: 22 Apr 2025, Available online: 30 Apr 2025 |
![]() |
Paper Statistics: |
|
Cite this Article: |
Click here to get all Styles of Citation using DOI of the article. |
Advanced Engineering Research and Science