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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Dataset for numerical modeling and experimental validation of heat transfer in ventilated and active window systems – NCN Miniatura 9

Authors: Koshlak, Hanna;

Dataset for numerical modeling and experimental validation of heat transfer in ventilated and active window systems – NCN Miniatura 9

Abstract

This dataset provides high-resolution experimental data for the thermal performance of an active triple glazing unit equipped with a transparent heating foil. The data was collected to validate numerical CFD models and analyze heat transfer reduction in extreme winter conditions (down to -25°C). The study investigates the transition from passive insulation to active thermal barriers. It demonstrates how active compensation can stabilize internal glass surface temperatures above 18°C and eliminate condensation risks. The dataset includes spatial thermal mapping, heat flux measurements, baseline reference data for passive windows, and high-resolution raw sensor logs (1-minute intervals). This dataset is licensed under a Creative Commons Attribution 4.0 International license (CC-BY 4.0). Users are free to share and adapt the data, provided that appropriate credit is given to the author, the Kielce University of Technology. This research was funded in whole or in part by the National Science Centre, Poland,DEC-2025/09/X/ST8/00339, "Integrating photovoltaics with electrically heated windows: a pilot investigation for enhanced building energy efficiency."For inquiries regarding the dataset, please contact: hkoshlak@tu.kielce.pl

Keywords

active window, triple glazing unit , heat transfer, CFD validation, thermal barrier,energy efficiency, NCN Miniatura.

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average