2021
DOI: 10.1016/j.energy.2021.121204
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Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings

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Cited by 21 publications
(4 citation statements)
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References 37 publications
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“…Smart meters and algorithm control could be effective in small-scale DH systems [28][29][30]. An algorithm, coupling downsized heat pumps to radiant emitters, based on thermal inertia control was studied and the seasonal performance of heat pumps increased by 10% [31].…”
Section: Influence Of User Regulation On Heat Energy Consumptionmentioning
confidence: 99%
“…Smart meters and algorithm control could be effective in small-scale DH systems [28][29][30]. An algorithm, coupling downsized heat pumps to radiant emitters, based on thermal inertia control was studied and the seasonal performance of heat pumps increased by 10% [31].…”
Section: Influence Of User Regulation On Heat Energy Consumptionmentioning
confidence: 99%
“…The load models can be applied to a wide range of problems in building energy system design and planning, including simulations and optimizations of community energy systems. This paper by Koči et al [110] [113] propose a novel approach in order to accurately calculate the savings due to heat metering. Results show that in case of centralized heating systems equipped with thermostatic valves and heat metering devices, thermal energy savings up to 64% can be reached mainly when the system operates for many hours per day, leading to discounted pay back periods lower than 4 years.…”
Section: Knowledge Of Building Energy Demandmentioning
confidence: 99%
“…TRNSYS software allows the simulation of different types of solar collector, photovoltaics as well as photovoltaic-thermal (PV/T) collector [21,22], heat pipe heat exchangers [23,24], PVT-collector model and horizontal ground heat exchanger [25], solar-assisted ground-source heat pumps [26] as well as the building [27] or multiple radiative inter-reflections exchanges [28]. Both the system and the building can be configured and analysed separately.…”
Section: Building Energy Simulationmentioning
confidence: 99%