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Comparison of moroccan argain nut shell and olive cake combustion to determine the best combustible for CHP system and for the thermodynamic cycle.
Najah El Idrissi, Ayoub; Benbrahim, Mohammed; Rassai, Nadia.
Afiliação
  • Najah El Idrissi A; Advanced Systems -Engineering Laboratory-National School of Applied Science, Ibn Tofail University, University Campus, Po Box 242, Kenitra, Morocco.
  • Benbrahim M; Advanced Systems -Engineering Laboratory-National School of Applied Science, Ibn Tofail University, University Campus, Po Box 242, Kenitra, Morocco.
  • Rassai N; Advanced Systems -Engineering Laboratory-National School of Applied Science, Ibn Tofail University, University Campus, Po Box 242, Kenitra, Morocco.
Heliyon ; 9(3): e14804, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37101490
The current research aims to valorize Moroccan agricultural waste by using it as a combustible fuel. The physicochemical properties of argan cake were determined and the results were compared with other studies of argain nut shell and olive cake. A comparison of argain nuts shell, argain cake, and olive cake was carried out in order to determine the best combustible in terms of energy, emissions and thermal efficiency cycle. The CFD modeling of their combustion was presented using Ansys fluent software, The Reynolds averaged Navier-Stokes (RANS) method is the foundation of the numerical approach, which models the turbulent flow using realizable. k-ε, A non-premixed combustion model is used for the gas phase, and a Lagrangian approach is chosen for the discrete second phase, there was a good agreement between the numerical and experimental data, as well as Wolfram Mathematica 13.1 is used to predict the mechanical work generated by the Stirling engine, and the result encourages the use of studied biomasses as combustible in order to generate heat and power.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article