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Carbon Footprint Optimization for Efficient Effluent Treatment Selection by Using Fuzzy Optimization Modelling

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Intelligent Computing and Optimization (ICO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 854))

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Abstract

With rising industrial ESG needs, companies must optimize their effluent treatment plant design to reduce carbon emissions and meet government regulations. Industrial decision-makers face challenges in selecting the best effluent treatment technology that meets all goals and regulations. By considering the energy usage of various technological combinations, a model is created to minimize the carbon footprint. Fuzzy optimization modelling and carbon footprint integration result in more effective and sustainable industrial effluent treatment systems. In the future, the multi-objective optimization will be considered to balance environmental sustainability and practicality.

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References

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Author information

Authors and Affiliations

  1. Centre for Water Research, Faculty of Engineering, Built Environment and Information Technology, SEGi University, 47810, Kota Damansara, Selangor, Darul Ehsan, Malaysia

    Kenneth Tiong Kim Yeoh, Chee Ming Choo, Mohd Faizan Jamaluddin, Geen Yue Lim & Jun Hao Chew

  2. Department of Chemical & Petroleum Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, Malaysia

    Lik Yin Ng

Authors
  1. Kenneth Tiong Kim Yeoh
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  2. Chee Ming Choo
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  3. Mohd Faizan Jamaluddin
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  4. Geen Yue Lim
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  5. Jun Hao Chew
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  6. Lik Yin Ng
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Corresponding author

Correspondence to Kenneth Tiong Kim Yeoh .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Department of Computer Science, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

    Mohammad Shamsul Arefin

  3. Laboratory of Non-traditional Energy Systems, Department of Theoretical and Applied Mechanics, Federal Scientific Agroengineering Center VIM, Russian University of Transport, Moscow, Russia

    Vladimir Panchenko

  4. Department of Computer Science, UOW Malaysia KDU Penang University College, George Town, Malaysia

    J. Joshua Thomas

  5. School of Economics and Decision Sciences, North West University, Mmabatho, South Africa

    Elias Munapo

  6. Faculty of Engineering Management, Poznań University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

  7. Facultad de Ciencias Económicas y Empresariales, School of Economic and Business Sciences, Universidad Panamericana, Mexico City, Mexico

    Roman Rodriguez-Aguilar

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yeoh, K.T.K., Choo, C.M., Jamaluddin, M.F., Lim, G.Y., Chew, J.H., Ng, L.Y. (2023). Carbon Footprint Optimization for Efficient Effluent Treatment Selection by Using Fuzzy Optimization Modelling. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-031-50151-7_6

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