Probabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: data-driven modeling and response surface optimization

Basit Öğe Kaydı
dc.authorid0000-0001-6841-6457en_US
dc.contributor.authorBüyükada, Musa
dc.date.accessioned2021-06-23T19:48:59Z
dc.date.available2021-06-23T19:48:59Z
dc.date.issued2017
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractThe aim of present study is to investigate the thermogravimetric behaviour of the co-combustion of hazelnut hull (HH) and coal blends using three approaches: multi non-linear regression (MNLR) modeling based on Box-Behnken design (BBD) (1), optimization based on response surface methodology (RSM) (2), and probabilistic uncertainty analysis based on Monte Carlo simulation as a function of blend ratio, heating rate, and temperature (3). The response variable was predicted by the best-fit MNLR model with a predicted regression coefficient (R-pred(2)) of 99.5%. Blend ratio of 90/10 (HH to coal, %wt), temperature of 405 degrees C, and heating rate of 44 degrees C min(-1) were determined as RSM-optimized conditions with a mass loss of 87.4%. The validation experiments with three replications were performed for justifying the predicted-mass loss percentage and 87.5% +/- 0.2 of mass loss were obtained under RSM-optimized conditions. The probabilistic uncertainty analysis were performed by using Monte Carlo simulations. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.biortech.2016.11.045
dc.identifier.endpage112en_US
dc.identifier.issn0960-8524
dc.identifier.issn1873-2976
dc.identifier.pmid27888726en_US
dc.identifier.scopus2-s2.0-84997194262en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage106en_US
dc.identifier.urihttps://doi.org/10.1016/j.biortech.2016.11.045
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9299
dc.identifier.volume225en_US
dc.identifier.wosWOS:000395693700012en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBüyükada, Musa
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofBioresource Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHazelnut Hullen_US
dc.subjectCo-Combustionen_US
dc.subjectMulti Non-Linear Regressionen_US
dc.subjectResponse Surface Optimizationen_US
dc.subjectMonte Carlo Simulationsen_US
dc.titleProbabilistic uncertainty analysis based on Monte Carlo simulations of co-combustion of hazelnut hull and coal blends: data-driven modeling and response surface optimizationen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
musa-buyukada.pdf
Boyut:
1.15 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
Çevre Mühendisliği Bölümü Koleksiyonu