2016
DOI: 10.1016/j.enbuild.2016.01.001
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On-site monitoring and dynamic simulation of a low energy house heated by a pellet boiler

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Cited by 20 publications
(7 citation statements)
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“…The annual efficiency for a standard house from 2004, understood as the heat quotient produced by the boiler and energy feed to the boiler in the fuel, was 83%, when the efficiency during the standard testing conditions in nominal capacity was 93,2%. For the part load (in modulating capacity mode), it was 90.9% [27].…”
Section: Availability and Prevalence Of Biomass Fuelmentioning
confidence: 99%
“…The annual efficiency for a standard house from 2004, understood as the heat quotient produced by the boiler and energy feed to the boiler in the fuel, was 83%, when the efficiency during the standard testing conditions in nominal capacity was 93,2%. For the part load (in modulating capacity mode), it was 90.9% [27].…”
Section: Availability and Prevalence Of Biomass Fuelmentioning
confidence: 99%
“…Nevertheless, a recent revision of Directive 2009/28/EC (Renewable Energy Directive) encourages woody biomass use as a possible solution to reach the 32% renewable share target by 2030 (European Parliament and Council 2018). As reported by the European Bioenergy Outlook 2020 (Calderón et al 2020), only 23% of the household energy consumption excluding electricity is covered by the share of renewables in 2018, most of which is bioenergy (Carlon et al 2016). In the Italian context, a technological turnover has influenced the traditional wood-fired devices, whereas pellet devices have grown steadily from 8% to 22% between 2010 and 2018 (Francescato and Rossi 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Recent papers focused on the potential benefits of a mechanical ventilation system coupled with biomass stoves in passive houses (Feist et al 2005;Georges and Novakovic 2012;Schumack 2016;Carlon et al 2016). In contrast, the present work deals with conventional heating systems, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Starting from monitored real data, it is in general fundamental to detect malfunctions, to improve the control of the systems and to optimize the overall building performance, energy use and indoor comfort conditions. In this regard, Carlon et al [9] started from a one-year monitoring campaign of a building and evidenced the importance of a better management of the thermal inertia of the heating system; then, these authors tested improved control strategies by means of suitable simulations.…”
Section: Introduction and Literature State Of The Artmentioning
confidence: 99%