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Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure

  • Abdul Gaffar Sheik
  • , Arvind Kumar
  • , Faiz Ahmad Ansari
  • , Vinay Raj
  • , Nicolás M. Peleato
  • , Ameer Khan Patan
  • , Sheena Kumari
  • , Faizal Bux*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Industry 5.0 raises awareness towards converting conventional industrial technologies into smart technologies integrated with sustainable infrastructure for efficiently handling process systems, making them more energy and cost-efficient. New disruptive technologies are emerging due to recent scientific and technical developments, which profoundly affect various process systems. One such case of consideration is the algal cultivation for biomass production (ACB). A technology called an algal digital twin (ADT) has a great deal of promise to change existing ACB (For example raceway pond) into sustainable algal management systems (Nitrogen, Phosphorus, Temperature, Turbidity, Dissolved Oxygen (DO), Carbon dioxide (CO2), pH, Chlorophyll-a, etc.), and to develop their infrastructure in making them more energy efficient and cost-effective for the algal biomass cultivation. However, despite a recent increase in attention, there have not been adequate investigations exploring the challenges of deploying ADTs for controlling and monitoring ACB. This review provides a systematic literature analysis on adopting an ADT into ACB, which could address major difficulties and unresolved problems of the ACB. Also, this study identifies several key categories of hurdles, such as interconnection and semantics, facilities, acquiring data and actuation, data reliability, modelling (Artificial Intelligence of Things), simulation run, decision making, digitalization of data, accountability, as well as social concerns. Additionally, case studies for the ACB towards lipid production and wastewater treatment using ADT are reported. Overall, this comprehensive review aims to help practitioners gain insight into the deployment of ADT into ACB systems, “A way towards creating a sustainable smart infrastructure for ACB”.

Original languageEnglish
Article number103779
JournalAlgal Research
Volume84
DOIs
StatePublished - Dec 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Algal digital twins
  • Artificial intelligence of things
  • Cultivation
  • Decision-support
  • Smart infrastructure
  • Sustainability

ASJC Scopus subject areas

  • Agronomy and Crop Science

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