ew 18: e9

Research Article

Compositional fuzzy modeling of energy- and resource saving in socio-technical systems

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  • @ARTICLE{10.4108/eai.12-9-2018.155863,
        author={A. V. Bobryakov and V. V. Borisov and A. I. Gavrilov and E. A. Tikhonova},
        title={Compositional fuzzy modeling of energy- and resource saving in socio-technical systems},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={10},
        keywords={energy- and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model},
        doi={10.4108/eai.12-9-2018.155863}
    }
    
  • A. V. Bobryakov
    V. V. Borisov
    A. I. Gavrilov
    E. A. Tikhonova
    Year: 2018
    Compositional fuzzy modeling of energy- and resource saving in socio-technical systems
    EW
    EAI
    DOI: 10.4108/eai.12-9-2018.155863
A. V. Bobryakov1,*, V. V. Borisov1, A. I. Gavrilov2, E. A. Tikhonova1
  • 1: National Research University “Moscow Power Engineering Institute”
  • 2: The Branch of National Research University “Moscow Power Engineering Institute” in Smolensk
*Contact email: avbob@mail.ru

Abstract

The paper poses the problem of increasing the efficiency of energy- and resource saving in socio-technical systems, which consist of resource-intensive subsystems (for example, subsystems of electricity, heat and water supply). A compositional fuzzy model for efficiency estimating of energy- and resource saving of socio-technical systems is proposed. This compositional fuzzy model consists of the following models: firstly, a set of fuzzy cognitive models for estimating the effects of actions on the subsystems’ indicators; secondly, a set of fuzzy rules-based models for efficiency estimating of energy- and resource saving of subsystems; thirdly, a generalized fuzzy model for efficiency estimating of energy- and resource saving of system as a whole. The procedure of compositional fuzzy modeling of energy- and resource saving in socio-technical systems is described.