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May 31, 2026Bioresource Technology Reports0 citationsOpen Access

Evaluation of computational fluid dynamics in high-rate pond designs: Challenges and future perspectives

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BHBruno Silva HenriquesNANayara Vilela AvelarASArthur Amaral e Silva

Key Points

  • This study aims to analyze the global research landscape on Computational Fluid Dynamics in high-rate algal pond design.
  • Conducted a bibliometric analysis covering 52 publications from 2012 to 2026.
  • Identified key trends in hydrodynamic modeling, geometric optimization, and mixing mechanisms.
  • Reviewed technological advances aimed at reducing dead zones and improving energy efficiency.
  • Identified significant contributions from countries including China, the USA, and several European nations.
  • Highlighted challenges in scaling up and standardizing methodologies despite promising findings.
  • Emphasized CFD's role as a decision-support tool for enhancing HRAP applications.

Abstract

High-Rate Algal Ponds (HRAPs) have gained attention as sustainable systems for wastewater treatment and microalgae cultivation. The definition and optimization of these bioreactors design parameters are crucial for advancing algae cultivation technologies that are both economically and environmentally sustainable. This study presents a comprehensive bibliometric analysis of global research on the application of Computational Fluid Dynamics (CFD) in HRAP design and optimization, covering the period from 2012 to 2026. A detailed review of 52 selected publications reveals an emerging research field characterized by limited but impactful scientific output, predominantly from China, the United States, Spain, England, Italy, France and India. The analysis identifies key research trends, including hydrodynamic modeling, geometric optimization of ponds, and the influence of mixing mechanisms on biomass productivity and energy efficiency. Technological advances such as modified paddlewheels, vortex-induced vibration systems, baffles, and integrated CFD-biokinetic models are highlighted as strategies to reduce dead zones (DZ) and enhance light/dark cycles. Despite promising results, major challenges remain regarding scale-up, energy consumption, and standardization of methodologies. This study underscores the potential of CFD as a decision-support tool for advancing HRAPs toward real-scale applications and offers insights into future directions for research and innovation in the field.

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Cite This Study

Henriques et al. (2026) studied this question.

synapsesocial.com/papers/6a1bcfb05783ba022b6fbaa6https://doi.org/10.1016/j.biteb.2026.102844
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