Comparative analyses of carbon dioxide capture from power plant flue gas surrogate by micro and mesoporous adsorbents

Idris, I.; Abdullah, Anas; Shamsudin, Ili Khairunnisa; Othman, Mohd Roslee

doi:10.1016/j.jece.2019.103115

Cited by 21 publications

(10 citation statements)

References 29 publications

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“…The optimal trajectories obtained via orthogonal collocation method led to the highest profit. This approach is thought to be one of the most advanced optimization techniques that can be utilized in chemical engineering processes 26–29.…”

Section: Resultsmentioning

confidence: 99%

Dynamic Optimization of Autocatalytic Esterification in a Semi‐batch Reactor

et al. 2021

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Dynamic optimization of autocatalytic esterification in a semi‐batch reactor was employed to identify the most robust optimization method. Techniques such as control vector parameterization, orthogonal collocation, and multiple shooting were selected, compared, and analyzed. Three objective functions were considered, namely, maximizing conversion, minimizing final time, and maximizing operation profit using multiple input parameters, i.e., feed rate and temperature. Results from the dynamic optimization indicated that the most effective feed flow rate and temperature trajectory were demonstrated by the orthogonal collocation. The maximum conversion, minimum final time, and maximum profit from this approach were determined.

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Section: Resultsmentioning

confidence: 99%

Dynamic Optimization of Autocatalytic Esterification in a Semi‐batch Reactor

et al. 2021

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“…A neural network nonlinearity estimator was thought to be one of the most advanced optimization techniques that could be used to track a complex phenomenon in chemical engineering processes 43‐45 . Three different derivative‐free estimators based on the Gaussian approximation such as sUKF, DDKF, and CKF were investigated to study their feasibility for an online dynamic optimization on the basis of accuracy, stability, fast convergence to the true state, and computational reliability.…”

Section: Resultsmentioning

confidence: 99%

Optimizing autocatalysis with uncertainty by derivative‐free estimators

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et al. 2020

Optim Control Appl Methods

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SummaryA derivative‐free estimator was introduced to alleviate the drawbacks of the conventional Kalman filter when performing nonlinear analyses under different circumstances. In this work, the scaled Unscented Kalman Filter, Divided Difference Kalman filter, and Cubature Kalman filter (CKF) were selected to investigate the effectiveness of these filters in predicting the states of a complex semi‐batch reaction between propionic anhydride and 2‐butanol. The estimator's performance was evaluated under four different case studies, that is, under normal condition, under poor estimator initialization, under disturbances, and under parameter uncertainty. Results from the study show that CKF was the best option for an online dynamic optimization because of its highest degree of accuracy and stability under the normal and noisy conditions. Under normal condition, CKF yielded the lowest root mean square error of 0.61 × 10−2. Under uncertain initial condition, disturbance and parameter uncertainty, the lowest error of 1.83 × 10−2, 1.04 × 10−2, and 0.81 × 10−2 were obtained, respectively.

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“…The carbon sample was fixed in the column bed by glass beads on the top and bottom of the sample. Six steps of pressure swing operation were employed following the previous work on methane enrichment process, 4 hydrogen purification process 20 and CO 2 separation from the industrial exhaust gas 21 …”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…PSA was also reportedly attractive in enrichment of other types of gases such as hydrogen from syngas, 20 carbon dioxide from flue gas 21 and emission control from the excess producer gas 22 . PSA with an equalization mode was reportedly employed to lower its energy consumption during CO 2 removal in the exhaust gas of the industry 21 . Reduction in energy requirement was observed to be significant at increasing cycles with further increase in CO 2 recovery, consistent with the results from the previous numerical simulation 23 .…”

Section: Introductionmentioning

confidence: 99%

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Effect of pressure equalization on methane enrichment from stranded natural gas usingPSAwith amorphous Kenaf and microporous palm kernel shell adsorbents

et al. 2020

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Summary Improvement of quality fuels has gained traction as a result of growing demand for higher quality fuels because of health concern, environmental issues and tighter emission control by regulatory bodies. Low quality, unprocessed fuels produce household air pollution on burning that can be fatal. In this work, Kenaf and palm kernel adsorbents were used in pressure swing adsorption to enrich methane from stranded natural gas containing extraordinarily high carbon dioxide content of 70 vol%. Microporous palm kernel activated carbon from this work was found effective in methane enrichment process to produce better quality fuel that met the gas pipeline quality standard. Methane with 85.0% purity and 94.2% recovery was achieved at 1 minute of adsorption time due to the methane flow‐through and effective carbon dioxide retention. Increased adsorption time of higher than 1 minute resulted in the reduction of both purity and recovery of the gases due to the delayed cross‐over of methane. Methane compression at three bars consumed 10.0 kJ/min out of 33.0 kJ/min. Methane expansion released 8.0 and 2.0 kJ/min from methane and carbon dioxide rich stream, respectively during blowdown. The total entropy change from the compression and expansion of the gas was nil, suggesting that the process induced no disorder to the surrounding. Pressure swing adsorption with equalization mode reduced the methane purity to 76% and carbon dioxide recovery to 70% but increased the methane recovery to almost 100% and carbon dioxide purity to 97% in a criss‐cross procession.

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Comparative analyses of carbon dioxide capture from power plant flue gas surrogate by micro and mesoporous adsorbents

Cited by 21 publications

References 29 publications

Dynamic Optimization of Autocatalytic Esterification in a Semi‐batch Reactor

Dynamic Optimization of Autocatalytic Esterification in a Semi‐batch Reactor

Optimizing autocatalysis with uncertainty by derivative‐free estimators

Effect of pressure equalization on methane enrichment from stranded natural gas usingPSAwith amorphous Kenaf and microporous palm kernel shell adsorbents

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