Thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

Rosner, Fabian; Chen, Qin; Rao, Ashok; Samuelsen, Scott; Jayaraman, Ambal; Alptekin, Gökhan

doi:10.1016/j.energy.2019.07.047

Cited by 24 publications

(3 citation statements)

References 24 publications

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“…[1]) are presented with specific insights into state-stream data, water balance and economics. Two IGCC configurations are presented: 1) cold gas cleanup case with Selexol™ unit for syngas decarbonization (Fig.…”

Section: Datamentioning

confidence: 99%

Process and economic data for the thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

et al. 2019

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Steady state simulations were carried out in APSEN Plus®, state-point stream data were extracted from the simulation results and tabulated in sequential order for IGCC configurations. These data give detailed insights into the performance of individual process units and enable researches to better understand the interplay of various process units as well as provide data for reproducibility of the work described in Ref. (Rosner et al., 2019). Furthermore, more detailed insights in the economic analysis are garnered by providing itemized capital and operating cost data as well as the individual unit cost correlations. In addition, a detailed plant water balance is provided for the base cases of the cold gas cleanup scenario and warm gas cleanup scenario.

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Section: Datamentioning

confidence: 99%

Process and economic data for the thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

et al. 2019

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“…Therefore, most efforts in PSA technology have focused on the use of adsorbents with high selectivity (material science), and the design/operation of efficient processes (engineering) [7]. Fabian et al conducted a CO 2 -PSA warm gas separation technology with a ZnO sorbent for IGCC power plants, wherein the cost of electricity would reach up to 127.2 $/MWh within one year [8]. The practical cost of hydrogen production from steam reforming with a vacuum PSA unit was around 5 EUR/kg of hydrogen as well [9].…”

Section: Introductionmentioning

confidence: 99%

A Review of Numerical Research on the Pressure Swing Adsorption Process

et al. 2022

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The pressure swing adsorption (PSA) process has been considered a promising method for gas separation and purification. However, experimental methods are time-consuming, and it is difficult to obtain the detailed changes in variables in the PSA process. This review focuses on the numerical research developed to realize the modelling, optimization and control of the cyclic PSA process. A complete one-dimensional mathematical model, including adsorption bed, auxiliary devices, boundary conditions and performance indicators, is summarized as a general modelling approach. Key simplified assumptions and special treatments for energy balance are discussed for model reliability. Numerical optimization models and control strategies are reviewed for the PSA process as well. Relevant attention is given to the combination of deep-learning technology with artificial-intelligence-based optimization algorithms and advanced control strategies. Challenges to further improvements in the adsorbent database establishment, multiscale computational mass transfer model, large-scale PSA facility design, numerical computations and algorithm robustness are identified.

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“…In the future, clean and efficient coal utilization technology will be a severe challenge facing many countries. The results of research and practical application both show the use of coal gasification technology has certain advantages in terms of pollutant emission and energy efficiency compared with traditional coal direct combustion [2][3][4] . The application of coal gasification technology in the field of power generation (Integrated gasification combined cycle, IGCC) has the potential to achieve near-zero emissions for coal power generation [5] .…”

Section: Introductionmentioning

confidence: 99%

Modeling, prediction and multi-objective optimization of the coal gasification system

Yang

Duan

2021

E3S Web Conf.

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As global energy demand continues to increase, coal as basic energy still accounts for a significant proportion. Under the pressure of environmental protection, clean and efficient coal utilization technologies are in great demand. Coal gasification technology has the potential to realize near-zero-emissions for coal utilization. This paper establishes the coal gasification system model and analyzes the effect of oxygen/coal ratio and water/coal ratio on the system performance index of cold syngas efficiency, effective component ratio, carbon conversion ratio, and production ratio of hydrogen. The results show that when the oxygen/coal ratio increases, the efficiency of cold syngas and effective components ratio increase first and then decrease, carbon conversion ratio first increases and then remains unchanged, hydrogen production ratio gradually decreases; When the steam/coal ratio increases, the cold syngas efficiency, and carbon conversion ratio first increase and then decrease, effective component ratio ingredients gradually decreases, and the hydrogen production ratio increases. Using BP neural network to realize the prediction of the gasification system, and the mean square error reaches the magnitude of 10e-7. Multi-objective optimization results show that the oxygen/coal ratio and steam/coal ratio corresponding to the highest production ratio of hydrogen is 0.52 and 0.05. The highest carbon conversion ratio corresponds to the oxygen/coal ratio of 0.95 and the steam/coal ratio of 0.05.

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Thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

Cited by 24 publications

References 24 publications

Process and economic data for the thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

Process and economic data for the thermo-economic analyses of IGCC power plants employing warm gas CO2 separation technology

A Review of Numerical Research on the Pressure Swing Adsorption Process

Modeling, prediction and multi-objective optimization of the coal gasification system

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