Increasing energy needs and environmental concerns require sustainable solutions. A promising alternative to fossil fuels is biodiesel, generated from easily accessible macro-algae such as Ulva fasciata, Cystoseira indica and Gracilaria corticata. A cost-effective macroalgal biodiesel supply chain is proposed using optimisation methodology. Utilising an advanced algorithm, the model optimises biodiesel production from macroalgae procurement to bio-refinery and depot placement. The framework incorporates expenses, biorefinery site, biodiesel storage and strategic macroalgae extraction centres. The model is optimised using a genetic algorithm, factoring in the expenses of installing biodiesel manufacturing plants. The sensitivity analysis demonstrates that these initial expenditures considerably impact the supply chain's economic burden. Sensitivity analysis confirms the framework's usefulness, making it valuable for stakeholders such as traders and policymakers promoting the biofuel business. This study sets forth the foundation for the manufacture of biodiesel from macroalgae on a massive scale, ensuring its sustainability.
Panwar et al. (Thu,) studied this question.