@Article{ee.2024.052523,
AUTHOR = {Sujeet Kesharvani, Sakhi Katre, Suyasha Pandey, Gaurav Dwivedi, Tikendra Nath Verma, Prashant Baredar},
TITLE = {Optimizing Biodiesel Production from Karanja and Algae Oil with Nano Catalyst: RSM and ANN Approach},
JOURNAL = {Energy Engineering},
VOLUME = {121},
YEAR = {2024},
NUMBER = {9},
PAGES = {2363--2388},
URL = {http://www.techscience.com/energy/v121n9/57671},
ISSN = {1546-0118},
ABSTRACT = {This study delves into biodiesel synthesis from non-edible oils and algae oil sources using Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) model to optimize biodiesel yield. Blend of <i>C. vulgaris</i> and Karanja oils is utilized, aiming to reduce free fatty acid content to 1% through single-step transesterification. Optimization reveals peak biodiesel yield conditions: 1% catalyst quantity, 91.47 min reaction time, 56.86°C reaction temperature, and 8.46:1 methanol to oil molar ratio. The ANN model outperforms RSM in yield prediction accuracy. Environmental impact assessment yields an E-factor of 0.0251 at maximum yield, indicating responsible production with minimal waste. Economic analysis reveals significant cost savings: 30%–50% reduction in raw material costs by using non-edible oils, 10%–15% increase in production efficiency, 20% reduction in catalyst costs, and 15%–20% savings in energy consumption. The optimized process reduces waste disposal costs by 10%–15%, enhancing overall economic viability. Overall, the widespread adoption of biodiesel offers economic, environmental, and social benefits to a diverse range of stakeholders, including farmers, producers, consumers, governments, environmental organizations, and the transportation industry. Collaboration among these stakeholders is essential for realizing the full potential of biodiesel as a sustainable energy solution.},
DOI = {10.32604/ee.2024.052523}
}