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The research proposed a more sustainable production of bioenergy and bio-products from wastewater using microalgae green technology with integration of Energy Informatics and applying computer algorithms through optimisation using Artificial Intelligence (AI) and Machine Learning (ML) to the bioprocess control systems. Energy Informatics in its most simplified definition is concerned with the use of advanced ICT to provide appropriate sustainability solutions. This rather new research area in informatics, however, must be studied with the inclusivity Sustainable Development Goals (SDGs) based on practical situations and must deal with environmental, technological, economic, and societal issues. The importance of energy informatics was highlighted to world community when the European Commission in 2009, recommended the mobilization of in-formation and communication technologies (ICT/Informatics) to facilitate the transition of an energy-efficient, low carbon, neutral emission economy in the world. Thus, this research focused on the investigation of potential optimum treatment method that can be adopted by the water treatment industry with the integration of Energy Informatics for a smart monitoring system towards energy efficiency and cost saving in smart city environment. At the end, the aspiration is a sustainable perspective of microalgal biorefinery, with a techno-economic assessment of the circular economy of microalgae application that can provide an insight into the sustainability, energy and cost-effectiveness throughout the whole process system from wastewater treatment to bioenergy production. The prediction and optimisation (AI, ML) used in the process correlates with influential parameters such as renewable sources availability and the demand of microalgae bio-products that it can create using minimal energy. The study hopes to be able in the near future to create a low electricity through bioelectricity and bioenergy and the development of fuel-cell Power computer chips for small devices such as laptops, tablets and hand phones and control systems in smart homes of Smart Cities.

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Integration of Energy Informatics in Microalgae Biorefinery and Bioenergy Towards Environmental and Energy Sustainability in Smart Cities

  • 会议论文

  • 发表日期：

    2026年

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  • Halimah Badioze Zaman,
  • Kai Ling Yu,
  • Hassan Mohamed,
  • Pin Jern Ker,
  • Mohd Nur Ikhmal Salehmin

摘要

The research proposed a more sustainable production of bioenergy and bio-products from wastewater using microalgae green technology with integration of Energy Informatics and applying computer algorithms through optimisation using Artificial Intelligence (AI) and Machine Learning (ML) to the bioprocess control systems. Energy Informatics in its most simplified definition is concerned with the use of advanced ICT to provide appropriate sustainability solutions. This rather new research area in informatics, however, must be studied with the inclusivity Sustainable Development Goals (SDGs) based on practical situations and must deal with environmental, technological, economic, and societal issues. The importance of energy informatics was highlighted to world community when the European Commission in 2009, recommended the mobilization of in-formation and communication technologies (ICT/Informatics) to facilitate the transition of an energy-efficient, low carbon, neutral emission economy in the world. Thus, this research focused on the investigation of potential optimum treatment method that can be adopted by the water treatment industry with the integration of Energy Informatics for a smart monitoring system towards energy efficiency and cost saving in smart city environment. At the end, the aspiration is a sustainable perspective of microalgal biorefinery, with a techno-economic assessment of the circular economy of microalgae application that can provide an insight into the sustainability, energy and cost-effectiveness throughout the whole process system from wastewater treatment to bioenergy production. The prediction and optimisation (AI, ML) used in the process correlates with influential parameters such as renewable sources availability and the demand of microalgae bio-products that it can create using minimal energy. The study hopes to be able in the near future to create a low electricity through bioelectricity and bioenergy and the development of fuel-cell Power computer chips for small devices such as laptops, tablets and hand phones and control systems in smart homes of Smart Cities.