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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

A BENCHMARKING OF COMPETING BIO-OBJECTIVE FUNCTIONS FOR MULTIRESPONSE OPTIMIZATION OF UASB SYSTEM IN PRETREATMENT OF POULTRY MANURE SLURRY

巻 15, 発行 6, 2017, pp. 477-504
DOI: 10.1615/IntJMultCompEng.2017021137
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要約

A novel hybrid mathematical programming model was described for multicriteria optimization of an up-flow anaerobic sludge blanket (UASB) reactor in pretreatment of poultry manure slurry. Three-variable bio-objective functions (five popular kinetic models and two newly derived multiple regression–based equations) with various multiple constraints and process-related parameters were derived, and more than 200 benchmarking simulations were performed within the framework of desirability function methodology. The maximum composite desirability was estimated as 0.9959 at an influent substrate concentration of 13.98 g COD/L, a hydraulic retention time of 12.93 days, and an operating temperature of 30.81°C. Correspondingly, the effluent substrate concentration, the biogas yield, and the net operating cost were obtained to be 2.25 g COD/L, 7.30 L/day, and 11.18 €/m3, respectively. According to verification tests, mean deviations were less than 3% at global optima, suggesting that the proposed approach was a well-suited technique for multiresponse optimization of a highly nonlinear biosystem.

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