Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2021
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Multi-scale Modelling of a Shell-and-tube Latent Heat Thermal Storage Unit for Building-level Dynamic Simulation

Authors: Colangelo Alessandro; Guelpa Elisa; Lanzini Andrea; Vittorio, Verda;

Multi-scale Modelling of a Shell-and-tube Latent Heat Thermal Storage Unit for Building-level Dynamic Simulation

Abstract

The optimal management of renewable energy systems can be enhanced by energy storage. Especially, selfconsumption of self-produced renewable energy can be maximized. Among the technologies for storing thermal energy, a latent storage system based on Phase Change Materials (PCMs) yields higher energy density compared to a sensible heat storage unit. Thus, Latent Heat Thermal Storage (LHTS) units fit an urban context with building-integrated systems where limited space is generally available. However, the integration of LHTS in an existing or newly developed heating system is hindered by a few technical issues (linked to heat transfer enhancement) and, most importantly, by a scarce knowledge about their dynamic behaviour at system level. Hence, this study presents a multi-scale modelling approach for rapidly simulating the operations of a shell-and-tube LHTS unit. A 1D model for the pipes crossed by the heat transfer fluid (HTF) is coupled with analytical thermal power characteristic curves representing the heat flux exchanged by the PCM domain. In this way, the heat transfer between the PCM and the HTF pipes is decoupled. The adopted thermal power characteristic curves are calibrated on a 2-dimensional model considering different boundary conditions. Summarizing, the proposed model is useful for investigating numerous LHTS building-integrated management strategies thanks to the possibility of varying two relevant input parameters: the HTF mass-flow rate and the HTF inlet temperature

Related Organizations
Keywords

1D dynamic model; Latent Heat Thermal Storage; LHTS performance characteristic curves; Multi-scale modelling; Phase Change Materials.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    download downloads 3
  • 3
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
3
Green
Related to Research communities