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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/aupec....
Article . 2014 . Peer-reviewed
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Investigating thermal inertia in lightweight buildings for demand response

Authors: Zhiheng, Zhao; Gregor, Verbic; FIORITO, Francesco;

Investigating thermal inertia in lightweight buildings for demand response

Abstract

This paper presents the use of buildings' thermal inertia as virtual thermal energy storage (TES) in smart home energy management systems (SHEMS). TES provides residential users with an additional degree of flexibility and helps them scheduling the energy usage in the off-peak periods to reduce the energy expenditure. Phase change materials (PCM) are added in the insulation of a lightweight building to increase its thermal inertia. We show through simulations that the addition of the PCM makes it possible to significantly shift the operation of the Heating, Ventilation and Air Conditioning (HVAC) system while still meeting the residents' comfort requirements. In the SHEMS, TES is treated an additional distributed energy resource. We develop the mathematical model of the underlying thermodynamical system and analyse the impact of the PCM layer. Due to the inherent properties of the PCM, the resulting optimisation problem becomes non-convex, which requires the use of heuristic optimisation tools. In this paper, we used genetic algorithm to minimise the energy expenditure. The results show that the use of PCMS effectively sheds and shifts the demand to off-peak periods thus reducing the cost for the user.

Country
Italy
Keywords

Home energy management; distributed energy resources; thermal inertia; phase change materials; thermodynamic process; load shifting; demand response; smart grid; future grids; genetic algorithms

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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
8
Average
Top 10%
Top 10%
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