William Andrés Mejía

Dr. William Andrés Mejía


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 September 2023 in Catalysts
Verified
Journal Article
Open access
PDF file
JGJessica Gaona-Cumbicos
Jessica Gaona-Cumbicos
KNKelly Naula-Duchi
Kelly Naula-Duchi
Edgar Paul ÁlvarezEdgar Paul Álvarez
Edgar Paul Álvarez
WMWilliam Andrés Mejía
William Andrés Mejía
BBBolívar Bernal-Pesántez
Bolívar Bernal-Pesántez
Lourdes Elizabeth JaraLourdes Elizabeth Jara
Lourdes Elizabeth Jara
In the face of the climate change problem caused by fossil fuels, it is essential to seek efficient alternative energies with a lower environmental impact that are derived from renewable resources. Biomass gasification technology continues to generate significant interest in sustainable energy research as an alternative to traditional combustion technology. Gasification involves the thermochemical conversion of raw materials, resulting in a highly valuable gaseous product known as synthesis gas, commonly used as a fuel. Its numerous advantages include the availability of raw materials, the reduction in harmful emission streams, performance, and costs. As this topic gains momentum in the global energy framework, it is imperative to advance the maturity of this technology by addressing its weaknesses, primarily in terms of efficiency. The objective of this project was to investigate the hydrogen production process through the simulation of glucose gasification as a representative compound for biomass. This was achieved by conducting an integrated simulation of glucose gasification, encompassing both the heat transfer in the external system and the conversion of glucose into hydrogen gas, using the results obtained in the external system as initial conditions. Interrelated aspects of this complex process, including heat transfer and the kinetics of the gasification process, were modeled. Glucose was selected as the model compound due to its availability, simplicity, fundamental understanding, reproducibility, comparability, knowledge of reaction pathways, and simplification of mathematical models. The simulation resulted in a H2:CO ratio of 2.2, and molar fluxes were obtained for H2, CO, CO2, CH4, and H2O consistent with those typically observed in the gasification process of organic matter. These models were constructed, laying the foundation for the adaptability of subsequent optimization studies.

9 August 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
JGJessica Gaona-Cumbicos
Jessica Gaona-Cumbicos
KNKelly Naula-Duchi
Kelly Naula-Duchi
Edgar Paul ÁlvarezEdgar Paul Álvarez
Edgar Paul Álvarez
WMWilliam Andrés Mejía
William Andrés Mejía
BBBolívar Bernal-Pesántez
Bolívar Bernal-Pesántez
Lourdes Elizabeth JaraLourdes Elizabeth Jara
Lourdes Elizabeth Jara
Given the problem of climate change caused by fossil fuels, there is a need to seek efficient alternative energies that have a lower impact on the environment and are obtained from renewable resources. Biomass gasification technology is attracting constant interest in sustainable energy research as an alternative to traditional combustion technology. Its numerous advantages include the availability of raw materials, reduction in harmful emission streams, performance, and costs. In gasification, thermochemical conversion of the raw material is carried out, obtaining a gaseous product of great interest known as synthesis gas. As this is a growing topic within the global energy framework, it is necessary to achieve the maturity of this technology by working on its weaknesses, mainly in terms of efficiency. The objective of this project was to study the hydrogen production process from the simulation of glucose gasification as a biomass model compound through a static model and a dynamic model, in order to determine the maximum concentration of the resulting components in each model studied. Since glucose is the most abundant component in biomass, it was used as a composite model, these models were built, and the basis for the adaptability of subsequent studies of optimization present one was laid. A H_2:CO ratio of 2.2 and molar fluxes were obtained for H_2,〖CO,CO〗_(2,) 〖CH〗_4 and H_2 O as would generally occur in an organic matter gasification process.