ew 20(30): e12

Research Article

A novel systematic and comprehensive method for identification of energy-saving measures

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  • @ARTICLE{10.4108/eai.13-7-2018.164827,
        author={K. Jemmad and A. Hmidat and A. Saad},
        title={A novel systematic and comprehensive method for identification of energy-saving measures},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={7},
        number={30},
        publisher={EAI},
        journal_a={EW},
        year={2020},
        month={5},
        keywords={Energy saving, energy audit, identification, sterilization},
        doi={10.4108/eai.13-7-2018.164827}
    }
    
  • K. Jemmad
    A. Hmidat
    A. Saad
    Year: 2020
    A novel systematic and comprehensive method for identification of energy-saving measures
    EW
    EAI
    DOI: 10.4108/eai.13-7-2018.164827
K. Jemmad1,*, A. Hmidat1, A. Saad1
  • 1: National Higher School of Electricity and Mechanics, Hassan II University, Casablanca, Morocco
*Contact email: k.jemmad@gmail.com

Abstract

Energy savings are driven by technological solutions along with behavioural changes and managerial decisions. A systematic and comprehensive method of identification of energy-saving measures can be a powerful tool for that purpose. Within this context, we propose a simplified, systematic and comprehensive method to bridge gaps of usual approaches. It was built by combining consecutively 3 developed tools: an energy-saving model, a process-oriented decomposition approach and a multi-criteria decision-making analysis of alternative energy-saving solutions. The outcome is a matrix filled with energy saving measures by corresponding sub-processes in lines to energy parameters such as energy sufficiency or output losses in columns. A central sterile service department in a university hospital in Morocco was analysed at the operating phase. Via this method, we could systematically and fluently list all viable energy-saving features. Concretely, the modernity of the installation confined the margin of manoeuvre to managerial and behavioural measures. The multi-criteria decision-making analysis process applied on steam generator of autoclaves highlighted many instructive points on induction heating development potential despite of its qualitative character.