Comparative analysis of five kinetic models for prediction of methane yield (Record no. 20364)

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fixed length control field a
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231220105439.0
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fixed length control field 231220b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 22474
Author Roberts, S.
245 ## - TITLE STATEMENT
Title Comparative analysis of five kinetic models for prediction of methane yield
250 ## - EDITION STATEMENT
Volume, Issue number Vol.104(2), Jun
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. USA
Name of publisher, distributor, etc. Springer
Year 2023
300 ## - PHYSICAL DESCRIPTION
Pagination 335-342p.
520 ## - SUMMARY, ETC.
Summary, etc. A work on the analysis of five kinetic models for predicting methane yield is presented. The selected five common models for predicting methane yield include Gompertz, logistic, first-order, Richards and transfert models. Anaerobic digestion of orange and banana peels was simulated using the selected models. A comparative analysis of the models was carried out to determine the best-fit model. When predicting the methane yield of banana peels, all models reached a maximum of 99.23% and the model which was most accurate was the Gompertz model with 76% cumulative deviation and the least accurate model was the transfert model with 274.7% cumulative deviation. The prediction of methane yield on orange peels was 99.49% accurate for all models having the most accurate model being the Gompertz and first-order kinetic model with a cumulative deviation of 20.67% and the least accurate model being the transfert model with a cumulative deviation of 112%. This work presents the simulation considerations and application for each model.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 22475
Co-Author Mathaka, N.
773 0# - HOST ITEM ENTRY
International Standard Serial Number 2250-2149
Place, publisher, and date of publication Switzerland Springer
Title Journal of the institution of engineers (India): Series A
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://link.springer.com/article/10.1007/s40030-023-00715-y
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2023-12-20 2023-1738 2023-12-20 2023-12-20 Articles Abstract Database
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