CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Development of advanced air-blown entrained-flow two-stage bituminous coal IGCC gasifier
Authors
N. A. Abaimov
A. F. Ryzhkov
Publication date
1 January 2017
Publisher
'EDP Sciences'
Doi
Cite
Abstract
Integrated gasification combined cycle (IGCC) technology has two main advantages: high efficiency, and low levels of harmful emissions. Key element of IGCC is gasifier, which converts solid fuel into a combustible synthesis gas. One of the most promising gasifiers is air-blown entrained-flow two-stage bituminous coal gasifier developed by Mitsubishi Heavy Industries (MHI). The most obvious way to develop advanced gasifier is improvement of commercial-scale 1700 t/d MHI gasifier using the computational fluid dynamics (CFD) method. Modernization of commercial-scale 1700 t/d MHI gasifier is made by changing the regime parameters in order to improve its cold gas efficiency (CGE) and environmental performance, namely H2/CO ratio. The first change is supply of high temperature (900°C) steam in gasifier second stage. And the second change is additional heating of blast air to 900°C. © The authors, published by EDP Sciences, 2017.This work was carried out at the Ural Federal University and Science Foundation (project no. 14-19-00524).financially supported by the Russia
Similar works
Full text
Available Versions
EDP Sciences OAI-PMH repository (1.2.0)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:edpsciences.org:dkey/10.10...
Last time updated on 10/04/2020
Institutional repository of Ural Federal University named after the first President of Russia B.N.Yeltsin
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:elar.urfu.ru:10995/75224
Last time updated on 21/08/2019