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Environmental life cycle assessment of algae systems: Critical review of modelling approaches

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  • Braud, L.
  • McDonnell, K.
  • Murphy, F.

Abstract

Recent advances in algal biotechnology and bioprocess engineering have been supported by techno-economic and life cycle assessment (LCA) methodologies to develop cost-effective and sustainable algae-based products. Over the past 20 years, LCA studies have shown that the use of energy and nutrients are major contributors to the environmental impacts of algae systems. In this study, we investigate four mitigation strategies commonly used to reduce these impacts: considering multiple products, accounting for carbon capture and nutrient uptake, and including recirculation loops. The modelling approaches used by LCA practitioners to test these mitigation strategies were analysed to identify potential methodological challenges. We reviewed 158 LCA studies published between 2010 and 2022 with a focus on the goal & scope and life cycle inventory (LCI) stages. The results show that the consideration of multiple products in algae systems is directly related to the choice of method(s) used to avoid or solve multifunctionality. The use of a substitution approach leads to the avoidance of greenhouse gas emissions compared to benchmark systems. The net negated emissions from carbon capture and nutrient uptake during algae growth result in reduced impacts on climate change and eutrophication. Finally, the use of waste streams and the consideration of recirculation loops reduce the need for external inputs of water, inorganic fertilisers, and energy. This review provides detailed information on algae system modelling approaches to facilitate the interpretation of LCA results from existing studies and serves as a basis for the development of transparent and reproducible LCI frameworks.

Suggested Citation

  • Braud, L. & McDonnell, K. & Murphy, F., 2023. "Environmental life cycle assessment of algae systems: Critical review of modelling approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:rensus:v:179:y:2023:i:c:s1364032123000746
    DOI: 10.1016/j.rser.2023.113218
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