2014
DOI: 10.1007/978-3-319-05521-3_19
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On the Use of Agent-Based Simulation for Efficiency Analysis of Domestic Heating Using Photovoltaic Solar Energy Production Combined with a Heatpump

Abstract: In this paper agent-based simulation is used to analyse the efficiency of domestic heating based on a heatpump together with photovoltaic (PV) solar energy production. A simulation model for the cost (in terms of required kWh per day) of a heating agent based on a heatpump over a year is used, in addition to a simulation model for the yields of a PV production agent estimating the produced solar energy (in kWh per day). In particular, for the heating agent it is analysed how its performance depends on the outd… Show more

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Cited by 4 publications
(5 citation statements)
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“…Here T water is the heating system water temperature. The values of the parameters (i.e., the 7.5 and 0.1) in this approximation are in accordance with empirical data from www.liveheatpump.com (see also [10,18]). For example, based on this function for T water = 50°C it holds:…”
supporting
confidence: 86%
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“…Here T water is the heating system water temperature. The values of the parameters (i.e., the 7.5 and 0.1) in this approximation are in accordance with empirical data from www.liveheatpump.com (see also [10,18]). For example, based on this function for T water = 50°C it holds:…”
supporting
confidence: 86%
“…Here the main agent considered is the (heat pump based) heating agent, and the main focus is on its ongoing interaction with the (strongly dynamical) environment. Other agents that play their role are energy production agents (e.g., based on a photovoltaic solar energy production system; e.g., [10]) and a thermostat agent.…”
Section: Introductionmentioning
confidence: 99%
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“…In general, SPF is approximated by a mathematical function of the outdoor temperature T od . Often a linear approximation is used; (e.g., [15,16]), and the SPF for a given day is based on the average day temperature. For this paper the following new steps are made:…”
Section: Background Knowledge and The Computational Modelmentioning
confidence: 99%