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Energy & Environment
Article . 2018 . Peer-reviewed
License: SAGE TDM
Data sources: Crossref
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
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Heat pumps for buildings heating: Energy, environmental, and economic issues

Authors: Bianco Vincenzo; Marchitto Annalisa; Scarpa Federico; Tagliafico Luca Antonio;

Heat pumps for buildings heating: Energy, environmental, and economic issues

Abstract

The present paper analyzes the Italian energy system focusing on the possible energy, environmental, and economic effects that the utilization of individual heat pumps for winter heating can produce. To this aim, a model of the Italian energy system is developed by employing the tool EnergyPLAN in order to develop an hourly simulation of the system at country level. Different scenarios in terms of heat pumps penetration, ranging between 10% and 50%, are simulated and sensitivity analyses in terms of average coefficient of performance of heat pumps are performed. The increase of heat pumps generation shows a steadily decrease of fossil fuel consumption for buildings heating, as well as a reduction of carbon emissions. The utilization of heat pumps for buildings heating leads to an increase of 10 p.p. in the load factor of the combined cycle gas turbine thermal power plants. Furthermore, an optimal heat pumps penetration is determined, namely 20%, which minimizes the energy system costs, calculated as the sum of fuel cost and externalities savings.

Country
Italy
Keywords

energy policy; energy systems simulation; EnergyPLAN; externalities; Heat pumps

  • BIP!
    Impact byBIP!
    citations
    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).
    7
    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.
    Top 10%
    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
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Found an issue? Give us feedback
citations
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!
7
Top 10%
Average
Average