The prediction of potential energy and matter production from biomass pyrolysis with artificial neural network
The potentiality determination of renewable energy resources is very important. The biomass is one of the alternative energy and material resources. There is great effort in their conversion to precious material but yet there is no generalized rule. Therefore, the prediction of the energy and materi...
Main Authors: | Bahattin Aydinli, Atila Caglar, Sefa Pekol, Abdulkadir Karaci |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-11-01
|
Series: | Energy Exploration & Exploitation |
Online Access: | https://doi.org/10.1177/0144598717716282 |
Similar Items
-
The pyrolysis of industrial alliaceous plant wastes: Illustration of process and characterization of products
by: Atila Caglar, et al.
Published: (2018-11-01) -
Siyez Buğdayına (Triticum monococcum) Metal İşleme Sıvısı Etkilerinin ICP-OES Yöntemiyle Değerlendirilmesi
by: Sefa Pekol
Published: (2018-09-01) -
Characterisation of dissolved organic matter using Curie point pyrolysis mass spectrometry and artificial neural networks
by: Smiley, G. D.
Published: (1997) -
Pyrolysis of Mixed Plastic Waste: II. Artificial Neural Networks Prediction and Sensitivity Analysis
by: Ibrahim Dubdub, et al.
Published: (2021-09-01) -
Biomass fast pyrolysis
by: Bridgewater Anthony V.
Published: (2004-01-01)