Process design and performance analysis of a Staged, Pressurized Oxy-Combustion (SPOC) power plant for carbon capture

Gopan, Akshay; Kumfer, Benjamin M.; Phillips, Jeffrey N.; Thimsen, D.; Smith, Richard S.; Axelbaum, Richard L.

doi:10.1016/j.apenergy.2014.03.032

Cited by 136 publications

(75 citation statements)

References 17 publications

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“…The concentration of five cations in the groundwater during the reaction is shown in Figure 7. The pH of the groundwater decreased to 5.3 due to the dissolved scCO 2 , which led to the dissolution of the sandstone slab in groundwater, but it became stable after 60 reaction days, suggesting that the amount of hydrogen ions in the groundwater increased due to the dissolution of CO 2 at an early stage, but the pH levels remained stable due to the buffering of dissolved ions with the increase of the reaction time (within 90-120 days). The trend of the pH decrease in the groundwater vs. the reaction time was also very similar to that of the SR RMS increase of the slabs (the logarithmic decrease (or increase) pattern in Figure 6), indicating that the geochemical weathering process of the sandstone reservoir was very active in the early CO 2 injection time but stabilized within a few months.…”

Section: Measurement Of the Surface Roughness Value For The Sandstonementioning

confidence: 99%

“…sandstone cores, the curve fitting results for their property values using the logarithmic Equation (2) are delineated in Figure 10. The r-squared values for all fitted curves are higher than 0.88 (average of 0.921), indicating that the rock property changes follow a well-defined logarithmic increase (or decrease) pattern, which were very similar to those of the geochemical parameter changes such as pH, cation concentration, and SRRMS over the reaction time.…”

Section: Measurement Of Physical Property Changes For the Sandstone Cmentioning

confidence: 99%

“…Various CO 2 capture and sequestration technologies have been developed to reduce CO 2 emissions and the International Energy Agency (IEA) has announced that CO 2 capture and sequestration (CCS) technology will cover 19% of the total CO 2 reductions by 2050 [1][2][3][4][5][6]. Among them, geological sequestration will be deeply considered to reduce CO 2 emissions at low cost [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site

et al. 2017

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Changes in the physical properties of the supercritical CO 2 (scCO 2 ) reservoir rock is one of the most important factors in controlling the storage safety at a scCO 2 sequestration site. According to recent studies, it is probable that geochemical reactions influence changes in the rock properties after a CO 2 injection in the subsurface, but quantitative data that reveal the interrelationship of the factors involved and the parameters needed to evaluate the extent of scCO 2 -rock-groundwater reactions have not yet been presented. In this study, the potential for employing the surface roughness value (SR RMS ) to quantify the extent of the scCO 2 involved reaction was evaluated by lab-scale experiments. For a total of 150 days of a simulation of the scCO 2 -sandstone-groundwater reaction at 100 bar and 50 • C, the trends in changes in the physical rock properties, pH change, and cation concentration change followed similar logarithmic patterns that were significantly correlated with the logarithmic increase in the SR RMS value. These findings suggest that changes in surface roughness can quantify the extent of the geochemical weathering process and can be used to evaluate leakage safety due to the progressive changes in rock properties at scCO 2 storage sites.

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Section: Measurement Of the Surface Roughness Value For The Sandstonementioning

confidence: 99%

Section: Measurement Of Physical Property Changes For the Sandstone Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site

et al. 2017

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“…CO 2 is one of the main gases that cause the greenhouse effect. Carbon capture and storage is the process of capturing and storing the CO 2 in industrial production by various means, such as cryogenic carbon capture [1,2], chemical absorption [3], oxyfuel combustion [4] and so on. Carbon capture technologies that result in significant reduction in energy-related CO 2 emissions, specifically from coal-fired power plants, can relieve the greenhouse effect.…”

Section: Introductionmentioning

confidence: 99%

Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability

2018

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Presently, China is the largest CO 2 emitting country in the world, which accounts for 28% of the CO 2 emissions globally. China's CO 2 emission reduction has a direct impact on global trends. Therefore, accurate forecasting of CO 2 emissions is crucial to China's emission reduction policy formulating and global action on climate change. In order to forecast the CO 2 emissions in China accurately, considering population, the CO 2 emission forecasting model using GM(1,1) (Grey Model) and least squares support vector machine (LSSVM) optimized by the modified shuffled frog leaping algorithm (MSFLA) (MSFLA-LSSVM) is put forward in this paper. First of all, considering population, per capita GDP, urbanization rate, industrial structure, energy consumption structure, energy intensity, total coal consumption, carbon emission intensity, total imports and exports and other influencing factors of CO 2 emissions, the main driving factors are screened according to the sorting of grey correlation degrees to realize feature dimension reduction. Then, the GM(1,1) model is used to forecast the main influencing factors of CO 2 emissions. Finally, taking the forecasting value of the CO 2 emissions influencing factors as the model input, the MSFLA-LSSVM model is adopted to forecast the CO 2 emissions in China from 2018 to 2025.

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“…Various technologies such as cryogenic separation, membrane filtration and reactive absorption have been suggested in literature as post combustion capture technologies [4][5][6][7]. These technologies can be readily retrofitted to a range of industries other than power plants [8].…”

Section: Introductionmentioning

confidence: 99%

Understanding and Modelling the Effect of Dissolved Metals on Solvent Degradation in Post Combustion CO2 Capture Based on Pilot Plant Experience

et al. 2017

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Abstract:Oxidative degradation is a serious concern for upscaling of amine-based carbon capture technology. Different kinetic models have been proposed based on laboratory experiments, however the kinetic parameters included are limited to those relevant for a lab-scale system and not a capture plant. Besides, most of the models fail to recognize the catalytic effect of metals. The objective of this work is to develop a representative kinetic model based on an apparent auto-catalytic reaction mechanism between solvent degradation, corrosion and ammonia emissions. Measurements from four different pilot plants: (i) EnBW's plant at Heilbronn, Germany (ii) TNO's plant at Maasvlakte, The Netherlands; (iii) CSIRO's plants at Loy Yang and Tarong, Australia and (iv) DONG Energy's plant at Esbjerg, Denmark are utilized to propose a degradation kinetic model for 30 wt % ethanolamine (MEA) as the capture solvent. The kinetic parameters of the model were regressed based on the pilot plant campaign at EnBW. The kinetic model was validated by comparing it with the measurements at the remaining pilot campaigns. The model predicted the trends of ammonia emissions and metal concentration within the same order of magnitude. This study provides a methodology to establish a quantitative approach for predicting the onset of unacceptable degradation levels which can be further used to devise counter-measure strategies such as reclaiming and metal removal.

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Process design and performance analysis of a Staged, Pressurized Oxy-Combustion (SPOC) power plant for carbon capture

Cited by 136 publications

References 17 publications

The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site

The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site

Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability

Understanding and Modelling the Effect of Dissolved Metals on Solvent Degradation in Post Combustion CO2 Capture Based on Pilot Plant Experience

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