The prediction of potential energy and matter production from biomass pyrolysis with artificial neural network
Yazarlar (4)
Prof. Dr. Bahattin AYDINLI Kastamonu Üniversitesi, Türkiye
Prof. Dr. Atila ÇAĞLAR Kastamonu Üniversitesi, Türkiye
Doç. Dr. Sefa PEKOL Kastamonu Üniversitesi, Türkiye
Doç. Dr. Abdulkadir Karacı Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Energy Exploration and Exploitation | ||
| Dergi ISSN | 0144-5987 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2017 |
| Cilt / Sayı / Sayfa | 35 / 6 / 698–712 | DOI | 10.1177/0144598717716282 |
| Makale Linki | https://journals.sagepub.com/doi/pdf/10.1177/0144598717716282 | ||
| Özet |
| 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 material potentials of these resources has gained great importance. Also, the solution to environmental problems in real time can be found easily by predicting models. Here, the basic products of pyrolysis process, char, tar and gas were also predicted by artificial neural network modelling. The half of data obtained from real experimental process along with some content and proximate analysis were fed into artificial neural network modelling. After the training of the model with this data, the remaining half of the data were introduced into this artificial neural network model. And the model predicted the pyrolysis process products (char … |
| Anahtar Kelimeler |
| Artificial neural network | biomass wastes | energy | prediction | pyrolysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 43 |
| Scopus | 47 |
| Google Scholar | 56 |