EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING

Furkan ELMAZ; Özgün YÜCEL; Ali Yener MUTLU

doi:https://doi.org/10.22531/muglajsci.471538

Makale detayları

EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING

Yazarlar:

Furkan ELMAZ | Özgün YÜCEL | Ali Yener MUTLU

Yayıncı:

Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Mugla Journal of Science and Technology 2019 Vol.5 Issue 1, pp.1-12

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000576655

Sıklık:

İki Yıllık

pISSN:

2149-3596

DOI:

https://doi.org/10.22531/muglajsci.471538

Özet:

 

Co-gasification is a process that converts coal and biomass into useful products, such as syngas. Analytical and numerical approaches for modeling co-gasification process either require enormous amount of time or make a lot of assumptions which reduce consistency of the models in practical applications. Artificial Intelligence based modeling methods are used to simulate and to make predictions of outcomes of the co-gasification process. Even though previous studies result in successful modelling for specific cases, limited selection of methods and lack of implementation of cross-validation techniques causes insufficiency to explain unbiased performance evaluations and up-scale usability of the methods. In this paper, six different regression methods are employed to predict outputs of co-gasification process using a dataset containing 56 observations. Moreover, the original dataset is randomly resampled so that each model’s generalization ability is further assessed. The prediction performance of the proposed techniques on both datasets is evaluated and practical usability is discussed.

Makale detayları

EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING

Yazarlar: Furkan ELMAZ | Özgün YÜCEL | Ali Yener MUTLU

Yayıncı: Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar: Uygulamalı fizik

Dergi: Mugla Journal of Science and Technology 2019 Vol.5 Issue 1, pp.1-12

Belge Tipi: Makale

Yayın Tarihi: 6/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000576655

Sıklık: İki Yıllık

pISSN: 2149-3596

DOI: https://doi.org/10.22531/muglajsci.471538

Sayı

Yazarlar:

Furkan ELMAZ | Özgün YÜCEL | Ali Yener MUTLU

Yayıncı:

Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Mugla Journal of Science and Technology 2019 Vol.5 Issue 1, pp.1-12

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000576655

Sıklık:

İki Yıllık

pISSN:

2149-3596

DOI:

https://doi.org/10.22531/muglajsci.471538