Huang Wenzhong

Biomass Research Center, Hainan Institute of Tropical Agricultural Resouces, Sanya, 572025, Hainan, China
Author    Correspondence author
Journal of Energy Bioscience, 2024, Vol. 15, No. 6   
Received: 17 Oct., 2024    Accepted: 26 Nov., 2024    Published: 09 Dec., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Rapeseed oil yield optimization is crucial for sustainable biodiesel production, as rapeseed oil has great potential as a renewable energy source. This study explored various approaches to improve rapeseed oil yield and biodiesel production efficiency. Exergy analysis was used to identify energy losses and optimize rain-fed and irrigated production systems, and the results showed that reducing irrigation water, electricity, and pesticides while increasing fertilizer and diesel usage could increase yield by 24.55%. The results of the fertilization system showed that high doses of compound fertilizers significantly increased rapeseed oil and oil yields, and refined rapeseed oil biodiesel could reach European standards. Genetic and environmental factors affecting rapeseed yield were analyzed, emphasizing the importance of photosynthetic efficiency and special ecological environments such as the Qinghai Plateau for high yields. Multiple optimization techniques such as ultrasound-assisted and base-catalyzed transesterification were applied to improve biodiesel yield and quality, with a yield of 97.5% under optimal conditions. The integration of renewable energy sources such as solar collectors further reduced production costs and fossil energy consumption. This integrated approach highlights the potential of optimizing rapeseed oil production for sustainable biodiesel, which can help improve environmental benefits and ensure energy security.

Rapeseed oil; Biodiesel production; Exergy analysis; Fertilization systems; Transesterification optimization