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Calculating the energy consumption of electrocoagulation using a generalized structure group method of data handling integrated with a genetic algorithm and singular value decomposition

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Abstract

In this study, a hybrid data mining method for predicting energy consumption is proposed, namely the group method of data handling integrated with a genetic algorithm and singular value decomposition (GMDH-GA/SVD). As the randomness of renewable sources influences prediction methods, prediction model improvements are necessary for further development. Thus, GMDH-GA/SVD is introduced to model energy consumption as the primary criterion for process evaluation in finding the optimum condition to achieve the least energy consumption process. The parameters include the initial pH, the initial dye concentration, the applied voltage, the initial electrolyte concentration and the treatment time. The uncertainty analysis is applied to survey the quantitative performance of the new proposed model compared to existing popular reduced quadratic multiple regression models and two recently published models in the form of a Taylor diagram, indicating the proposed model is the most accurate. Moreover, partial derivative sensitivity analysis was done on the key parameters in the new model to provide insight into the calibration process of the new model.

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Authors and Affiliations

  1. Department of Civil Engineering, Razi University, Kermanshah, Iran

    Hossein Bonakdari & Isa Ebtehaj

  2. Enviromental Research Center, Razi University, Kermanshah, Iran

    Hossein Bonakdari & Isa Ebtehaj

  3. School of Engineering, University of Guelph, Guelph, ON, NIG 2W1, Canada

    Bahram Gharabaghi

  4. Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Mohsen Vafaeifard & Azam Akhbari

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  1. Hossein Bonakdari
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  2. Isa Ebtehaj
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  3. Bahram Gharabaghi
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  4. Mohsen Vafaeifard
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  5. Azam Akhbari
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Correspondence to Hossein Bonakdari.

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Bonakdari, H., Ebtehaj, I., Gharabaghi, B. et al. Calculating the energy consumption of electrocoagulation using a generalized structure group method of data handling integrated with a genetic algorithm and singular value decomposition. Clean Techn Environ Policy 21, 379–393 (2019). https://doi.org/10.1007/s10098-018-1642-z

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  • DOI: https://doi.org/10.1007/s10098-018-1642-z

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