A multi-period multi-objective life cycle optimization model of a microalgal biorefinery integrating resource recirculation and quality considerations

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ID: 286337
2021
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Abstract
To address the inevitable rise in global energy consumption, renewable energy sources have been continuously researched. The use of algal biomass as feedstock for biodiesel production has been recognized due to its higher lipid productivity compared to other feedstock and lower impact compared to fossil fuels. Yet, the production of algal biofuel faces challenges with regards to its commercialization since fossil fuels are generally more inexpensive. The integration of various processes yielding different bioproducts has been encouraged to increase profitability and overall sustainability for the algal biorefinery. Moreover, considering a zero-waste ideology, resource recirculation can be maximized to satisfy economic and environmental sustainability through the minimization of waste flows. Yet, existing modelling studies have not investigated on the resulting quality degradation linked to the continuous recovery and recirculation of resources within the biofuel production system. To address this, a multi-period multi-objective nonlinear optimization model for an algal biorefinery simultaneously optimizing cost and environmental impact, integrating life cycle assessment to properly account for process unit environmental impacts, and most importantly incorporates quality degradation resulting from resource recirculation for a closed-loop production system. Quality degradation and recovery functions are incorporated into the model, linked to material and product quality indicators through the model constraints. Quality equations used to determine the values for the product quality involve the quality from the previous process and the quality of the input material to be used in the given process. An algal biorefinery with biodiesel, glycerol, biochar, and fertilizer with a study period of 10 years was used as the base production system for the case study for model validation. Results show that process unit and input material selection is dependent on the purchase unit costs for each material. This is indicated by the fact that the model chooses only one input material for certain processes when given the chance to select two for slightly increased productivity. For the first half of the study period, the purchasing behavior showed a decreasing trend for all inputs because of the higher cost of purchasing new materials compared to holding costs. However, as more input materials are recovered over time, the resulting end product qualities decrease. This is observed during the latter portion of the study period, where purchase behavior began to increase, thereby lessening inventory, attributable to the minimum product quality constraint of 99.6% that had been set as a standard. It is also observed that as the
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Authors Solis, Celine Marie A.
Journal Malay Journal
Year 2021
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdm_induseng/1
Keywords Keywords not found

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