Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies
Biomass conversion technologies offer clean, sustainable, and renewable electrical energy from biogas that is leaking into landfills. This energy based organic largely replaces fossil fuels in industrial and manufacturing activities, without forgetting its contribution to the reduction of greenhouse...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/106/e3sconf_icegc2023_00103.pdf |
| _version_ | 1797344960135036928 |
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| author | Drissi El Bouzaidi Ouissal Ouazzani Kamar |
| author_facet | Drissi El Bouzaidi Ouissal Ouazzani Kamar |
| author_sort | Drissi El Bouzaidi Ouissal |
| collection | DOAJ |
| description | Biomass conversion technologies offer clean, sustainable, and renewable electrical energy from biogas that is leaking into landfills. This energy based organic largely replaces fossil fuels in industrial and manufacturing activities, without forgetting its contribution to the reduction of greenhouse gases. In this work, we have indicated the methodology to evaluate the energy recovery of biomass that any operator in this field of activity can use to anticipate, control, and improve the productivity and the functioning of the landfill controlled site. The interest of the use of a combinatorial methodology between the three experimental, theoretical and numerical models offers the advantages for anticipate all the problems, using the most common solutions such as installing all the possible equipment for the permanent verification of the site impermeability by detecting the oxygen content, of the degradation, of the mechanical system of the site by measuring the hydrogen sulphide concentration, of breakdowns detections, and loss of methane. In addition, the artificial intelligence applications can be implemented to predict of biomass feedstock properties, process optimization and design for biomass conversion, optimal utilization of bioenergy, and supply chain design and planning respectively using four categories. |
| first_indexed | 2024-03-08T11:10:30Z |
| format | Article |
| id | doaj.art-7fb3dfd0d3094e06b5bcb294f649d428 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:10:30Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-7fb3dfd0d3094e06b5bcb294f649d4282024-01-26T10:45:10ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014690010310.1051/e3sconf/202346900103e3sconf_icegc2023_00103Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologiesDrissi El Bouzaidi Ouissal0Ouazzani Kamar1Innovative Technologies Laboratory, ESTF, USMBAInnovative Technologies Laboratory, ESTF, USMBABiomass conversion technologies offer clean, sustainable, and renewable electrical energy from biogas that is leaking into landfills. This energy based organic largely replaces fossil fuels in industrial and manufacturing activities, without forgetting its contribution to the reduction of greenhouse gases. In this work, we have indicated the methodology to evaluate the energy recovery of biomass that any operator in this field of activity can use to anticipate, control, and improve the productivity and the functioning of the landfill controlled site. The interest of the use of a combinatorial methodology between the three experimental, theoretical and numerical models offers the advantages for anticipate all the problems, using the most common solutions such as installing all the possible equipment for the permanent verification of the site impermeability by detecting the oxygen content, of the degradation, of the mechanical system of the site by measuring the hydrogen sulphide concentration, of breakdowns detections, and loss of methane. In addition, the artificial intelligence applications can be implemented to predict of biomass feedstock properties, process optimization and design for biomass conversion, optimal utilization of bioenergy, and supply chain design and planning respectively using four categories.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/106/e3sconf_icegc2023_00103.pdf |
| spellingShingle | Drissi El Bouzaidi Ouissal Ouazzani Kamar Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies E3S Web of Conferences |
| title | Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| title_full | Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| title_fullStr | Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| title_full_unstemmed | Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| title_short | Bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| title_sort | bibliographical review on assessment methodologies to evaluate the electrical energy recovered from biomass conversion technologies |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/106/e3sconf_icegc2023_00103.pdf |
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