Geri Dön

Reactor network analysis of biomass gasification in fluidized beds

Başlık çevirisi mevcut değil.

PDF İndir

  1. Tez No: 711852
  2. Yazar: LEON LONİ BERKEL
  3. Danışmanlar: PROF. ALESSANDRO STAGNİ, PROF. TİZİANO FARAVELLİ
  4. Tez Türü: Yüksek Lisans
  5. Konular: Metalurji Mühendisliği, Metallurgical Engineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2021
  8. Dil: İngilizce
  9. Üniversite: Politecnico di Milano
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 106

Özet

Özet yok.

Özet (Çeviri)

With the increasing environmental concerns, utilization of clean energy sources and reduction of pollutants have become a vital issue. Due to its high availability and integrability to existing infrastructure, biomass is an important alternative that can be used in gasification and combustion units. However, predictive modelling of these reactors is challenging due to various phenomena occurring simultaneously at different scales. CFD simulations are employed for predicting main gas species, but pollutant predictions require detailed kinetic mechanisms and application of these mechanisms in CFD simulations become usually unfeasible due to required computation times. Equivalent reactor network models are a viable option in these cases. With this approach, reactor networks are created by using simple reactor models and directing the flow between each reactor. The fluid dynamics are simplified, but detailed chemical kinetic mechanisms can be used with much more feasible computation times, allowing also the prediction of pollutants. In this work, an efficient reactor network solver, NetSMOKE, was developed in C++, which is capable of managing networks with both solid and gas reactors. The developed solver was compared with other solvers and its improvements were analysed and discussed. Model equations of units were reviewed, and various network solution strategies were examined. NetSMOKE was found to be fast with improved functionality and flexibility over the previous reactor network solvers. Finally, reactor network analysis was done on some case studies in which fluidized bed reactors were used for biomass gasification. Networks were created by either utilizing CFD data or using fluidization models, and then solved with NetSMOKE. In some cases, good agreement between experimental data and simulation results were observed, while in others, significant differences were present. Effects of various parameters on reactor network model were also discussed.

Benzer Tezler

  1. Tez No

    315324

    Kömür ve biyokütle karışımlarının gazlaştırılması ve aspen HYSYS programı ile simulasyonu

    Coal and biomass gasification and simulation of gasification systems using aspen HYSYS program

    TANJU NAYIR

    Yüksek Lisans

    Türkçe

    Türkçe

    2012

    Enerjiİstanbul Teknik Üniversitesi

    Makine Mühendisliği Ana Bilim Dalı

    DOÇ. DR. ERHAN BÖKE

  2. Tez No

    485240

    Modeling and experimental approaches in biomass pyrolysis: Artificial neural network application & guard-bed reactor integration

    Biyokütle pirolizinde modelleme ve deneysel yaklaşımlar: Yapay sinir ağları & guard reaktör uygulamaları

    ÖZGE MUTLU

    Doktora

    İngilizce

    İngilizce

    2017

    Kimya Mühendisliğiİstanbul Teknik Üniversitesi

    Kimya Mühendisliği Ana Bilim Dalı

    PROF. DR. SERDAR YAMAN

  3. Tez No

    709810

    The prevention of biofilm formation and prohibiting of the antibiotic resistance development

    Biyofilm oluşumunun önlenmesi ve antibiyotik direnç gelişiminin engellenmesi

    HADI FAKHRI

    Doktora

    İngilizce

    İngilizce

    2021

    Biyoteknolojiİstanbul Teknik Üniversitesi

    Çevre Mühendisliği Ana Bilim Dalı

    PROF. DR. SÜLEYMAN ÖVEZ

    DOÇ. DR. SEVCAN AYDIN

  4. Tez No

    196847

    Integrated analysis of metobolme profiles and gene expression in respiratory deficient delection mutants of Saccharomyces cerevisiae

    Solunum yapamayan Saccharomyces cerevisiae mutantlarının metabolom profillerinin ve gen ekspresyonunnun bütünleştirilmiş analizi

    PINAR PİR

    Doktora

    İngilizce

    İngilizce

    2005

    Kimya MühendisliğiBoğaziçi Üniversitesi

    Kimya Mühendisliği Ana Bilim Dalı

    PROF. DR. KUTLU ÜLGEN

    PROF. DR. ZEYNEP İLSEN ÖNSAN

  5. Tez No

    401604

    Techno-economic study of the calcium looping process for CO2 capture from cement and biomass power plants

    Başlık çevirisi yok

    DURSUN CAN ÖZCAN

    Doktora

    İngilizce

    İngilizce

    2014

    Kimya MühendisliğiThe University of Edinburgh

    PROF. STEFANO BRANDANI

    DR. HYUNGWOONG AHN

Geri Dön