Alex Tagbo

Alex Tagbo
Technische Universität Berlin | TUB · Institut für Energietechnik

M.Sc. in Technology Transfer

About

6
Publications
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6
Citations
Introduction
Alex Tagbo currently works at the Institut für Energietechnik, Technische Universität Berlin. Alex does research in renewable energy with focus on biomass. His current project is 'Assessment of a slow biomass pyrolysis technology using the artificial neural network model (ANN).'

Publications

Publications (6)
Presentation
Full-text available
This is a typical example showing an interesting trend in the application of neural network in the field of renewable energy and biomass over the last decades.
Article
Full-text available
Aims: To select appropriate material and undertake fluid flow analysis of parallel flow heat exchanger. Methodology: Dynamic simulation study was performed to evaluate conditions of heat transfer of water through heat exchanger using ASPEN HYSYS. Cambridge Education Selector (CES) Granta software was used to select the suitable candidate materials...
Presentation
Full-text available
The technical aspect of the technology transfer from Germany to India concerning waste water treatment plant
Article
Full-text available
Breadfruit (Treculia Africana) or simply breadnut is very important both as food and as a potential source of oil. The economic importance of this tropical seed on domestic and commercial basis has necessitated the design of a mechanized shelling method. This would reduce the tedium of the traditional manual shelling methods which though are quite...
Article
Full-text available
Breadfruit (Treculia Africana) or simply breadnut is very important both as food and as a potential source of oil. The economic importance of this tropical seed on domestic and commercial basis has necessitated the design of a mechanized shelling method. This would reduce the tedium of the traditional manual shelling methods which though are quite...

Questions

Questions (2)
Question
It is understood that most times the output (y) can be dependent on the input (x). My question; is it possible to predict an output with 'no given data' from a set of inputs with available data? For instance, if you want to predict the the torque of an engine (output1, with data) using the fueling level and engine speed as inputs, is it also possible to predict the emission levels (output2, without data) using the same set of inputs?
Thank you!
Question
The incessant search for ways of development of the energy sector in our eco system is faced with modern challenges such as tackling long term strategy of energy efficiency at a set-goal and mitigating environmental problems. Therefore, my question is linked with the modernisation of energy systems such as intelligent pumps for the future and if it can be economically efficient to sustain resources. Thank you!

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Projects

Project (1)
Project
The project describes the application of the Artificial Neural Network (ANN) in a technical-scale reactor plant (pyrolyzer) to predict the behavioural activities of the combustible effects of temperature and other selected parameters, gas yield and the formation of biochar. The importance of this project is to develop an evaluative model for a slow pyrolyzer to attain high energy efficiency and less energy consumption. Therefore, the scientific aim is to find out if the artificial neural network is an alternative means to significantly improve data quality, combustion process and energy supply for the reactor under research level.