Empirical component model to predict the overall performance of heating coils: Calibrations and tests based on manufacturer catalogue data

Ruivo, Celestino Rodrigues; Angrisani, Giovanni

doi:10.1016/j.enconman.2014.10.044

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…[ 38 ] suggests neglecting other factors and only considering the impact of mass flow rate. [ 39 ] discussed and validated this assumption. Therefore, the number of transfer units can be fitted with the manufacturer's catalogue data using the following nonlinear model.…”

Section: Methodsmentioning

confidence: 99%

Design Guidelines for Thermal Comfort and Energy Consumption of Triple Glazed Fluidic Windows on Building Level

Fraaß

Wondraczek

2020

Advanced Sustainable Systems

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There has been a growing trend for buildings with large glazing size. As a trade‐off, this comes with enhanced solar heat input and/or reduced thermal insulation. Several approaches are being followed to reduce the energy consumption in these buildings, including the prolific field of smart windows. In a previous report, a fluidic window device for thermal harvesting and air‐conditioning was introduced. Using this example, the impact of a building's window‐to‐wall ratio on the triple glazed fluidic window's energy consumption and user thermal comfort is evaluated, providing design guidelines for large‐scale implementation of such smart windows with real‐world buildings. The analysis shows that the proposed window design reduces the primary energy demand as compared to using a conventional air‐conditioning system. Building simulation results indicate that the system enables satisfying thermal comfort for buildings with different window‐to‐wall ratios. Although a higher window‐to‐wall ratio improves the heat pump efficiency, it requires more heating and cooling energy. On‐device photovoltaic modules may be used for changing this relationship. In this case, the proposed device may become self‐sufficient once the transfer efficiency is high enough. It is argued that similar considerations should be applied to other types of smart window technologies.

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Section: Methodsmentioning

confidence: 99%