Methane emissions reduction from organic wastewater and solid waste co-composting: parameter estimation and sensitivity analysis

Ramnauth, Jotsnah Devi; Mudhoo, Ackmez; Mohee, Romeela

doi:10.1504/ijgenvi.2012.047843

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Global Multi-parametric Sensitivity Analysis (GMSA) is a practical method to reveal the sensitivity of void content and tensile strength on various tape winding parameter changes [ 34 , 35 , 36 ]. The procedure of GMSA can be briefly described as [ 37 , 38 ]: Select the parameters x 1 , x 2 , …, x n to be tested respectively.…”

Section: Sensitivity Analysis Methodsmentioning

confidence: 99%

Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process

Deng

Shi

et al. 2018

Materials

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The composite tape winding process, which utilizes a tape winding machine and prepreg tapes, provides a promising way to improve the quality of composite products. Nevertheless, the process parameters of composite tape winding have crucial effects on the tensile strength and void content, which are closely related to the performances of the winding products. In this article, two different object values of winding products, including mechanical performance (tensile strength) and a physical property (void content), were respectively calculated. Thereafter, the paper presents an integrated methodology by combining multi-parameter relative sensitivity analysis and single-parameter sensitivity analysis to obtain the optimal intervals of the composite tape winding process. First, the global multi-parameter sensitivity analysis method was applied to investigate the sensitivity of each parameter in the tape winding processing. Then, the local single-parameter sensitivity analysis method was employed to calculate the sensitivity of a single parameter within the corresponding range. Finally, the stability and instability ranges of each parameter were distinguished. Meanwhile, the authors optimized the process parameter ranges and provided comprehensive optimized intervals of the winding parameters. The verification test validated that the optimized intervals of the process parameters were reliable and stable for winding products manufacturing.

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Section: Sensitivity Analysis Methodsmentioning

confidence: 99%

Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process

Deng

Shi

et al. 2018

Materials

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show abstract

“…The mesh plot can also be employed to identify areas of rapid change in the plot surface, as these are indicative of regions of model sensitivity, and decide on the optimum range(s) of parameters that satisfy the criterion. It must be noted that the results of this technique may not necessarily indicate the results that wastes might be obtained from the model for any given solid waste disposal matrix or combination of techniques, but will effectively indicate the fraction of the population of values that will exceed a given criterion (Ramnauth et al, 2012).…”

Section: Multi-parameter Sensitivity Analysis (Mpsa)mentioning

confidence: 99%

Greenhouse Gas Emissions Reductions from In-Situ Aeration in a Landfill: A Multi-Parameter Sensitivity Analysis Approach

et al. 2013

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In this study, estimates of greenhouse gas (GHG) emissions (for methane, carbon monoxide and nitrous oxide) following the potential installation of an aerated bioreactor landfill system at the Mare Chicose landfill in Mauritius have been determined based on procedures outlined in the Approved Baseline and Monitoring Methodology AM0083, "Avoidance of landfill gas emissions by in-situ aeration of landfills" from the UNFCCC/CCNUCC CDM, and compared to the baseline emissions (flaring method) for a credit period of 10 years to compute emissions reductions (ERs). The second part of this study has employed a combined multi-parameter sensitivity analysis (MPSA) and response surface methodology (RSM) approach to assess the relative importance of 5 selected parameters in influencing the amount of ERs. This technique of data analysis is reportedly novel in this field of research in environmental engineering for GHG emissions quantification. The parameters tested were the monitored methane content in venting well/header k during in-situ aeration in the year y (MCCH4,v,k,q), monitored methane content from surface emissions during in-situ aeration in zone i in the quarter q (MCCH4,s,i,q), total volume of surface emissions in zone i in quarter q (SGs,i,q), potential methane generation capacity (L0,i) of the waste in landfill zone i as determined by sampling and lab analysis and fraction of degradable waste (fdg,i) in landfill zone i. Results from the MPSA and mesh plots from the RSM showed that L0,i had the most influence on the ERs. The largest ERs amounted to 835,104.61 tCO2e obtained from the variations in L0,i whereas 189,343.30 tCO2e was the lowest predicted ERs. The best working values for the five parameters with respect to a better environmental performance for minimal GHG emissions and maximum ERs were: 0.077-0.134 ton CH4/ton waste for L0,i, 0.713-0.8 for fdg,i, 688,829.30-972,916.67 m 3 for SGs,i,q, 1.01×10 -5 to 1.75×10 -5 tCH4/m 3 for MCCH4,v,k,q and 6.70×10 -8 to 5.16×10 -7 tCH4/m 3 for MCCH4,s,i,q. The results of this study present a novel tool of optimized parameter values and ERs data which can be used to decide on how to better design and operate the landfill in Mauritius under the Clean Development Mechanism.

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Methane emissions reduction from organic wastewater and solid waste co-composting: parameter estimation and sensitivity analysis

Cited by 2 publications

References 27 publications

Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process

Multi-Response Parameter Interval Sensitivity and Optimization for the Composite Tape Winding Process

Greenhouse Gas Emissions Reductions from In-Situ Aeration in a Landfill: A Multi-Parameter Sensitivity Analysis Approach

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