Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review
The production of renewable biofuel through microalgae and green technology can be a promising solution to meet future energy demands whilst reducing greenhouse gases (GHG) emissions and recovering energy for a carbon-neutral bio-economy and environmental sustainability. Recently, the integration of...
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my.uniten.dspace-364762025-03-03T15:42:37Z Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review Yu K.L. Ong H.C. Zaman H.B. 57539404500 55310784800 57226220128 Artificial Intelligence Biofuels Biotechnology Informatics Microalgae Wastewater Artificial life Biomass Decision making Environmental technology Greenhouse gases Life cycle Microorganisms Reclamation Sustainable development Wastewater treatment biofuel Bio-mass energy Bioenergy productions Energy demands Energy informatics Environmental sustainability Field application Future energies Green technology Life cycle analysis Micro-algae artificial intelligence bioenergy biofuel biotechnology cultivation environmental impact life cycle analysis Article artificial intelligence bibliometrics bioenergy biomass conversion environmental impact environmental sustainability human information science life cycle microalga nonhuman predictive model waste water management biotechnology growth, development and aging information science metabolism procedures wastewater Microalgae The production of renewable biofuel through microalgae and green technology can be a promising solution to meet future energy demands whilst reducing greenhouse gases (GHG) emissions and recovering energy for a carbon-neutral bio-economy and environmental sustainability. Recently, the integration of Energy Informatics (EI) technology as an emerging approach has ensured the feasibility and enhancement of microalgal biotechnology and bioenergy applications. Integrating EI technology such as artificial intelligence (AI), predictive modelling systems and life cycle analysis (LCA) in microalgae field applications can improve cost, efficiency, productivity and sustainability. With the approach of EI technology, data-driven insights and decision-making, resource optimization and a better understanding of the environmental impact of microalgae cultivation could be achieved, making it a crucial step in advancing this field and its applications. This review presents the conventional technologies in the microalgae-based system for wastewater treatment and bioenergy production. Furthermore, the recent integration of EI in microalgal technology from the AI application to the modelling and optimization using predictive control systems has been discussed. The LCA and techno-economic assessment (TEA) in the environmental sustainability and economic point of view are also presented. Future challenges and perspectives in the microalgae-based wastewater treatment to bioenergy production integrated with the EI approach, are also discussed in relation to the development of microalgae as the future energy source. ? 2024 Elsevier Ltd Final 2025-03-03T07:42:37Z 2025-03-03T07:42:37Z 2024 Article 10.1016/j.jenvman.2024.122085 2-s2.0-85201081453 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201081453&doi=10.1016%2fj.jenvman.2024.122085&partnerID=40&md5=0e33c6bddb28570878ce7282114fa0b9 https://irepository.uniten.edu.my/handle/123456789/36476 368 122085 Academic Press Scopus |
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Artificial Intelligence Biofuels Biotechnology Informatics Microalgae Wastewater Artificial life Biomass Decision making Environmental technology Greenhouse gases Life cycle Microorganisms Reclamation Sustainable development Wastewater treatment biofuel Bio-mass energy Bioenergy productions Energy demands Energy informatics Environmental sustainability Field application Future energies Green technology Life cycle analysis Micro-algae artificial intelligence bioenergy biofuel biotechnology cultivation environmental impact life cycle analysis Article artificial intelligence bibliometrics bioenergy biomass conversion environmental impact environmental sustainability human information science life cycle microalga nonhuman predictive model waste water management biotechnology growth, development and aging information science metabolism procedures wastewater Microalgae |
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Artificial Intelligence Biofuels Biotechnology Informatics Microalgae Wastewater Artificial life Biomass Decision making Environmental technology Greenhouse gases Life cycle Microorganisms Reclamation Sustainable development Wastewater treatment biofuel Bio-mass energy Bioenergy productions Energy demands Energy informatics Environmental sustainability Field application Future energies Green technology Life cycle analysis Micro-algae artificial intelligence bioenergy biofuel biotechnology cultivation environmental impact life cycle analysis Article artificial intelligence bibliometrics bioenergy biomass conversion environmental impact environmental sustainability human information science life cycle microalga nonhuman predictive model waste water management biotechnology growth, development and aging information science metabolism procedures wastewater Microalgae Yu K.L. Ong H.C. Zaman H.B. Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
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The production of renewable biofuel through microalgae and green technology can be a promising solution to meet future energy demands whilst reducing greenhouse gases (GHG) emissions and recovering energy for a carbon-neutral bio-economy and environmental sustainability. Recently, the integration of Energy Informatics (EI) technology as an emerging approach has ensured the feasibility and enhancement of microalgal biotechnology and bioenergy applications. Integrating EI technology such as artificial intelligence (AI), predictive modelling systems and life cycle analysis (LCA) in microalgae field applications can improve cost, efficiency, productivity and sustainability. With the approach of EI technology, data-driven insights and decision-making, resource optimization and a better understanding of the environmental impact of microalgae cultivation could be achieved, making it a crucial step in advancing this field and its applications. This review presents the conventional technologies in the microalgae-based system for wastewater treatment and bioenergy production. Furthermore, the recent integration of EI in microalgal technology from the AI application to the modelling and optimization using predictive control systems has been discussed. The LCA and techno-economic assessment (TEA) in the environmental sustainability and economic point of view are also presented. Future challenges and perspectives in the microalgae-based wastewater treatment to bioenergy production integrated with the EI approach, are also discussed in relation to the development of microalgae as the future energy source. ? 2024 Elsevier Ltd |
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57539404500 |
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57539404500 Yu K.L. Ong H.C. Zaman H.B. |
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Yu K.L. Ong H.C. Zaman H.B. |
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Yu K.L. |
title |
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
title_short |
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
title_full |
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
title_fullStr |
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
title_full_unstemmed |
Integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: A review |
title_sort |
integrated energy informatics technology on microalgae-based wastewater treatment to bioenergy production: a review |
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Academic Press |
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2025 |
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1825816063972999168 |
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13.244109 |