Energy digital twin technology for industrial energy management: Classification, challenges and future
Технология цифровых двойников энергетики для управления промышленной энергетикой: классификация, проблемы и перспективы
2022-04-02
SCID: 54.1/ajphj8bt
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digital twin classificationenergy digital twinsenergy optimisationindustrial energy managementrenewable energy integration
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Abstract (AI)
Digitalisation of the process and energy industries through energy digital twin technology promises step-improvements in energy management and optimisation, better servicing and maintenance, energy-efficient design and evolution of existing sites, and integration with locally and regionally generated renewable energy. This systematic and critical review aims to accelerate the understanding, classification, and application of energy digital twin technology. It adds to the literature by developing an original multi-dimensional digital twin classification framework, summarising the applications of energy digital twins throughout a site's lifecycle, and constructing a proposal of how to apply the technology to industrial sites and local areas to enable a reduction in carbon and other environmental footprints. The review concludes by identifying key challenges that face uptake of energy digital twins and a framework to apply the energy digital twins.
Key Findings
1
Energy digital twin applications are summarised across the full lifecycle of industrial sites.
2
Energy digital twin technology can improve industrial energy management, optimisation, maintenance, energy-efficient design, and renewable-energy integration.
3
The paper proposes applying energy digital twins to industrial sites and local areas to reduce carbon and other environmental footprints.
4
The review develops an original multidimensional classification framework for categorising energy digital twins.
5
The review identifies key adoption challenges and presents a framework for implementing energy digital twins.
Research Object
energy digital twin technology applied to industrial sites and local areas throughout their lifecycle
Research Subject
the classification, applications, implementation challenges, and potential of energy digital twins for energy management, optimisation, and reduction of carbon and other environmental footprints
Publication Details
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2022-04-02
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