Valorization and sequestration of hydrogen gas from biomass combustion in solid waste incineration NaOH oxides of carbon entrapment model (SWI-NaOH-OCE Model)
Kennedy C. Onyelowe, Favour Deborah A. Onyelowe, Duc Bui Van, Chidozie Ikpa, A. Bunyamin Salahudeen, Adrian O. Eberemu, Kolawole J. Osinubi, Eze Onukwugha, Adegboyega O. Odumade, Ikechukwu C. Chigbo, Agapitus A. Amadi, Ekene Clifford Igboayaka, Jesuborn Obimba-Wogu, Zubair Saing, Talal Amhadi
- Year
- 2019
- Citations
- 10
Abstract
The valorization of biomass-based solid wastes for both geotechnical engineering purposes and energy needs has been reviewed to achieve eco-friendly, eco-efficient and sustainable engineering and reengineering of civil engineering materials and structures. The objective of this work was to review the procedure developed by SWI-NaOH-OCE Model for the valorization of biomass through controlled direct combustion and the sequestration of hydrogen gas for energy needs. The incineration model gave a lead to the sequestration of emissions released during the direct combustion of biomass and the subsequent entrapment of oxides of carbon and the eventual release of abundant hydrogen gas in the entrapment jar. The generation of geomaterials ash for the purpose of soil stabilization, concrete and asphalt modification has encouraged greenhouse emissions but eventually the technology that has been put in place has made it possible to manage and extract these emissions for energy needs. The contribution from researchers has shown that hydrogen sequestration from other sources requires high amount of energy because of the lower energy states of the compounds undergoing thermal decomposition. But this work has presented a more efficient approach to release hydrogen gas, which can easily be extracted and stored to meet the energy needs of the future as fuel cell batteries to power vehicles, mobile devices, robotic systems, etc. More so, the development of MXene as an exfoliated two-dimensional nanosheets with permeability and filtration selectivity properties, which are connected to its chemical composition and structure used in hydrogen gas extraction and separation from its molecular combination, has presented an efficient procedure for the production and management of hydrogen gas for energy purposes.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992