|
|
|
|
optimizing biodiesel yield and fuel properties from waste avocado oil: a comparative study of rsm and anfis learning models
|
|
|
|
|
|
|
|
نویسنده
|
eze simeon okechukwu ,amamba kelechi kaycee ,jeremi laju ogedegbe ,aliyu abbas ,ejikeme chukwuka solomon ,akoh matthew dickson ,adedapo adewale olamide ,abbas aisha onyinoyi ,ibraheem philip lekan ,hillary goodness ekene ,adisa evelyn iyere ,idris abdurrahman ,ojinika azubuike progress ,iheanacho bethel chijioke ,john sunday onoja ,jean baptiste melagne agnimel
|
|
منبع
|
progress in chemical and biochemical research - 2025 - دوره : 8 - شماره : 1 - صفحه:80 -98
|
|
چکیده
|
The quest for alternative energy sources, driven by the challenges of fossil fuels, has led to the development of biofuels. this study focuses on producing biodiesel from waste avocado oil through transesterification. initially, oil was extracted from the peels and seed of avocado pear using an extraction technique. the extracted oil was then pre-treated with methanol and sulfuric acid (h₂so₄) to reduce its free fatty acid content to less than 1.0 wt%. this study compares two expert systems, adaptive neuro-fuzzy inference system (anfis), and response surface methodology (rsm), for modeling and optimizing biodiesel production from avocado oil. the performance of these optimization tools was evaluated using statistical indices. the results showed that anfis outperformed rsm with a low error value, the standard error of prediction (sep)=0.7653, the mean absolute error (mae)=0.1413, the root mean squared error (rmse)=0.4103, the average absolute deviation (aad)=0.2955%, the mean squared error (mse)=0.1683, and a high coefficient of determination (r² = 0.9976). both models predicted high biodiesel yields (>85%), with anfis achieving a slightly higher yield (88.21%) compared to rsm (86.20%). the properties of the biodiesel produced under optimized conditions were compared with american society for testing and materials (astm) d6751 and european norm (en) 14214 standards and were found to be within acceptable limits, indicating the fuel’s suitability.
|
|
کلیدواژه
|
biodiesel ,rsm ,anfis ,waste oil ,fuel
|
|
آدرس
|
university of lagos, department of petroleum and gas engineering, nigeria, kent state university, department of electrical electronics engineering, usa, universiti teknologi petronas, department of industrial environmental engineering, malaysia, federal university of technology, department of chemical engineering, nigeria, federal university of technology, department of chemical engineering, nigeria, federal university of technology minna, department of chemical engineering, nigeria, ladoke akintola university of technology, department of chemical engineering, nigeria, universiti teknologi petronas, department of industrial environmental engineering, malaysia, lagos state university, department of chemical engineering, nigeria, federal university of technology, department of information technology, nigeria, university of lagos, department of environmental design, nigeria, mirea russian technological university, department of mechatronics engineering and robotics, russia, federal university of petroleum resources, department of mechanical engineering, nigeria, federal university of technology owerri, nigeria, federal university of technology minna, department of chemical engineering, nigeria, kazan national research technological university, department of oil and gas transport and refinery operation engineering, russia
|
|
پست الکترونیکی
|
agnimeljb@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|