MERCon - 2022

Permanent URI for this collectionhttp://192.248.9.226/handle/123/18494

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Browsing MERCon - 2022 by Author "Amarasinghe, ADUS"

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    Multi-objective optimization methodology for cryogenic air separation process
    (IEEE, 2022-07) Panapitiya, V; Randeniya, R; Thennakoon, N; Narayana, M; Amarasinghe, ADUS; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
    Cryogenic air separation processes are used to produce gases with different quantities and qualities and the process has a tight integration of heat and mass. Like in many other chemical processes, various conflicting objectives must be achieved in this process. Cryogenic air separation process can be used to maximize the oxygen purity and nitrogen purity, each separately or in combination. In this study cryogenic air separation process was simulated using Aspen Plus and the data generated from the simulation were analyzed for multi-objective optimization in MATLAB using genetic algorithm. Three scenarios based on uncertain product demand were examined: maximize O 2 purity, maximize N 2 purity and maximize both O 2 and N 2 purity together. The reflux ratio of high-pressure column (RR) was found to significantly alter the purity of final products. The effect of waste flow rate on purity of products was found to be significant depending on the selection of the position of waste stream stage. The position of waste stream was only found to be significant below the main feed stream of the low-pressure column. Multi-Objective optimization is useful in identifying the optimum conditions of the process variables for product requirements with conflicting objectives.
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    Path to predict the vapor pressure and enthalpy of vaporization of the components in essential oils
    (IEEE, 2022-07) Kumarage, NDI; Amarasinghe, ADUS; Narayana, M; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
    Essential oils contain terpenes and volatile compounds which are widely used in flavor and fragrance, cosmetic and medicine industries. Fractionation of essential oils separate these compounds and modelling and simulation plays a key role in optimizing the fractionation processes. The success of modelling and simulation of fractionating the essential oils heavily depends on the accurate prediction of vapor pressure and enthalpy of vaporization. This study examined the applicability and reliability of predictive methods for estimating the vapor pressure and enthalpy of vaporization of essential oils. Ten compounds were selected as case study, based on the export market for essential oils in Sri Lanka. Antoine method was found to give accurate and reliable data for all the ten compounds. But the use of Antoine method is limited due to unavailability of Antoine coefficients for most of the essential oil compounds over a wider range of temperatures. The selection of the suitable corresponding states group contribution method was found to depend on the type of compound and the range of operating temperatures. Based on the results of this study, the path to select the most suitable predictive method for a given essential oil compound with the applicable range of temperatures is recommended.