Optimizing purity and recovery of biogas methane enrichment process in a closed landfill

Seman, S.Z.A.; Idris, I.; Abdullah, Ahmad Zuhairi; Shamsudin, Ili Khairunnisa; Othman, Mohd Roslee

doi:10.1016/j.renene.2018.08.057

Cited by 31 publications

(11 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

Rohman

Sata

Othman

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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“…This analysis helps to quantify the solution to recover the methane gas, techniques like increasing the effective thickness. Also in near future more advanced techniques like artificial neural network will help in getting more methane out of biogas resource [5]. The upgrading of combustible biogas using a carbon hollow fiber membrane comparing with polymeric membrane from commercial aspect was done by Shamim [6] and modification of the carbon hollow fiber membrane was recorded as per the experiment testing done using Aspen HYSYS.…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

A Retrospection on Current Trends in Biogas Purification

Patil*¹,

Barjibhe²,

Chopade³

et al. 2019

IJITEE

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As the non-renewable resources are depleting at a lighting speed there will be crisis for requirement of energy in near future. The only alternative is to go for renewable resources. It has been proven that biogas and gasoline can be used with association to reduce the energy demand. As even though electric vehicles are booming in the market, it will take more than a decade to move towards electric world, especially in India. The reason behind that is, the raw material required to make batteries is not at all available with India, so the only option is to export, which imposes additional cost on the country's financial books. And also the tendency of common Indian pupils to shift from IC engine to electric vehicles will incur a high debt. So to reduce the dependency on electric vehicle and also to reduce cost, biogas in the form of compressed natural gas is the only way to come in near future. The motivation of this review work is to produce biogas from food wastes, to purify and store in cylinder used to run vehicles and to analyze the effect of performance and emission characteristics of an engine

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Optimizing purity and recovery of biogas methane enrichment process in a closed landfill

Cited by 31 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

A Retrospection on Current Trends in Biogas Purification

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