Digital Simulation of Hydraulic Modes of Heat Supply Systems of Variable Technological Structure
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Abstract
The paper presents a new approach to the formation of a system of equations – the
nodal pressure model, which is based on the inverse characteristics of passive and active
elements of pipeline networks developed during the study, the closing system of equations of
stationary isothermal modes of the heat supply system, interpreted in terms of typical regime
situations, fixing their state according to the content of the initial data. The solution of which
made it possible to create an effective algorithm and computer implementation of simulation
modeling of modes of large-size heat supply systems of variable technological structure.
- Title
- Digital Simulation of Hydraulic Modes of Heat Supply Systems of Variable Technological Structure
- Author
- Tomilova, Nadezhda
- Kalinin, Alexey
- Tomilova, Alexander
- Golovachyova, Viktoriya
- Sagynganova, Indira
- xmlui.dri2xhtml.METS-1.0.item-date-issued
- 2025
- xmlui.dri2xhtml.METS-1.0.item-rights-access
- Open access
- xmlui.dri2xhtml.METS-1.0.item-identifier-issn
- 1785-8860
- xmlui.dri2xhtml.METS-1.0.item-language
- en
- xmlui.dri2xhtml.METS-1.0.item-format-page
- 24 p.
- xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
- heat supply system, digital modeling, hydraulic mode, heat network, modeling method, models
- xmlui.dri2xhtml.METS-1.0.item-description-version
- Kiadói változat
- xmlui.dri2xhtml.METS-1.0.item-identifiers
- DOI: 10.12700/APH.22.3.2025.3.10
- xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
- Acta Polytechnica Hungarica
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
- 2025
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalVolume
- 22. évf.
- xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalNumber
- 3. sz.
- xmlui.dri2xhtml.METS-1.0.item-type-type
- Tudományos cikk
- xmlui.dri2xhtml.METS-1.0.item-subject-area
- Műszaki tudományok - anyagtudományok és technológiák
- xmlui.dri2xhtml.METS-1.0.item-publisher-university
- Óbudai Egyetem