عاطفه شربتي

This study aims to design an‎d optimize a microalgae-based biofuel supply chain while efficiently utilizing the by-products of thermal power plants. The proposed system is a multi-level, closed-loop network encompassing raw material supply centers, microalgae cultivation, preprocessing, lipid extraction, biodiesel an‎d biogas production, storage, an‎d final product distribution. In this network, wastewater an‎d CO₂ emissions from power plants serve as inputs for microalgae cultivation, while the residual biomass from lipid extraction is used for biogas production, partially satisfying the energy deman‎d of the power plant through internal supply. The proposed model is a multi-objective optimization framework that simultaneously considers the economic, environmental, an‎d social dimensions of the supply chain, enabling strategic an‎d operational decision-making. By integrating carbon taxation, CO₂ absorption incentives, an‎d employee satisfaction into the economic objective function, the model establishes a balanced trade-off among conflicting an‎d competing goals, providing a realistic framework for assessing system sustainability. The multi-objective problem is solved using the Chebyshev goal programming approach, which allows achieving solutions with minimal deviation from the ideal target values. Results indicate that the closed-loop design of the microalgae-based supply chain enhances resource an‎d energy efficiency, reduces environmental impacts, an‎d improves social sustainability. This research provides a comprehensive an‎d generalizable framework that can serve as a model for developing sustainable biofuel supply chains, increasing energy efficiency, reducing fossil fuel consumption, an‎d promoting circular industrial infrastructure. Furthermore, the findings offer avenues for future research on multi-objective network optimization an‎d sustainable industrial resource management.

ريزجلبك ها , سوخت هاي زيستي , طراحي زنجيره تأمين پايدار , فاضلاب حرارتي

Microalgae , Biofuels , Sustainable Supply Chain Design , Thermal Wastewater

atefeh sharbati

Ahmad Makui , Rouzbeh Ghousi