活性炭ベースCO2回収プロセスを統合したIGCC発電プラントのモデリング・シミュレーション研究
Modelling and simulation study of IGCC power plant with activated carbon-based carbon capture process (原題)
Yue Wang
🤖 gxceed AI 要約
日本語
本博士研究は、石炭ガス化複合発電(IGCC)の各サブモジュール(ガス化炉、水性ガスシフト反応器、酸ガス除去、ガスタービン、HRSG等)をモデル化・接続し、プロセス全体をシミュレーションしたものである。さらに、活性炭を用いた圧力スイング吸着(PSA)型CO2回収プロセスをIGCCに統合し、9ステップ8塔サイクルで80.89%のCO2回収率と87.33%のN2回収率を達成、効率損失は10.96%と予測した。N2をH2の代替として用いた限界も議論している。
English
This PhD study models and simulates an IGCC power plant by building and connecting sub-modules (gasifier, WGS reactor, acid gas removal, gas turbine, HRSG). It integrates an activated carbon-based PSA CO2 capture process (9-step, 8-bed cycle) achieving 80.89% CO2 capture and 87.33% N2 recovery, with a predicted efficiency penalty of 10.96%. Limitations of using N2 as a proxy for H2 are discussed.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はIGCC実証(勿来・大崎)を進めており、CO2回収統合時の効率損失評価は次世代石炭火力の脱炭素化設計に直結する。SSBJやTCFD開示における移行計画の技術的裏付けとしても参考になる。
In the global GX context
As global power sectors pursue low-emission dispatchable generation, IGCC with pre-combustion capture remains a candidate for coal-heavy grids. This work contributes process-level efficiency penalty data relevant to transition finance and decarbonization pathway modelling under TCFD/ISSB frameworks.
👥 読者別の含意
🔬研究者:IGCCとPSA回収の統合モデルにおける動特性と効率損失の定量化手法を提供する。
🏢実務担当者:石炭火力のCO2回収統合を検討する際の効率損失・回収率の参考値として活用できる。
🏛政策担当者:石炭火力の脱炭素化技術オプションとしてIGCC+CCSの性能評価に資する。
📄 Abstract(原文)
Integrated Gasification Combined Cycle (IGCC) is considered as a viable option for low emission power generation and carbon-dioxide sequestration. Modelling development and simulation study is essential part for the process of IGCC design and development. This PhD project is aiming to conduct the modelling and simulation study of IGCC power plant by building sub-modules such as gasifier, water gas shift reactor, acid gas removal unit, gas turbine and HRSG, etc. and connecting these modules together for the whole process study. In addition, the impact for the integration of IGCC with activated carbons-based pressure swing adsorption carbon capture process is investigated by using a PSA model developed and validated by University of Birmingham. A simplified zero dimension gasification model is developed based on Texaco gasifier and validated by reference and industry data. The model development is based on mass balance, chemical equilibrium and energy balance. The prediction results for syngas contents concentrations are proved to be reasonably acceptable and the syngas contents changes with key input parameters changes are studied. The model is then used to generate a variable syngas stream to study the dynamic performance of the other sub-modules. A one dimension dynamic model based on Shell slagging gasifier is developed. The model can successfully show the characteristics of slag layers formation and the syngas stream change with response to input parameters change. By using step rise of oxygen input and steam blast input, the dynamic performance of syngas temperature, syngas contents, slag mass flow rate and slag layers thickness is analysed and compared. It is found that oxygen input show relative larger impact on gasifier operation than steam blast for the studied working conditions. Auxiliary modules in a gasification enabled plant and combined cycle power plant are modelled with Thermolib Software. Basic principles of this software are introduced. Simplified quench process, WGS with heat recovery, acid gas removal unit, gas turbine, HRSG and electrical generator are modelled by using the blocks from Thermolib. The simulation results show the dynamic changes of key output variables such as power output, syngas temperature and contents concentrations. PSA model developed by UoB based on ACs is introduced and a 9 step 8 beds cycle model is used for the integration with IGCC model. This PSA model can achieve 80.89% CO2 capture rate with 87.33% of N2 recovery rate without any additional equipment. N2 is used to represent H2 for the simulation. Four cases for IGCC integrated with carbon capture are studied for the energy penalty analysis. It is predicted that the efficiency loss for IGCC power plant with 80.89% carbon capture will be 10.96%. The limitations of using N2 to represent H2 for the PSA model are discussed and it is predicted the real efficiency loss will be lower than the simulation results.
🔗 Provenance — このレコードを発見したソース
- openalex http://wrap.warwick.ac.uk/79967/1/WRAP_THESIS_Wang_2016.pdffirst seen 2026-10-11 04:43:09
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