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| dc.title | Numerical assessment of electric underfloor heating enhanced by photovoltaic integration | en |
| dc.contributor.author | Charvátová, Hana | |
| dc.contributor.author | Procházka, Aleš | |
| dc.contributor.author | Zálešák, Martin | |
| dc.contributor.author | Mařík, Vladimír | |
| dc.relation.ispartof | Sensors | |
| dc.identifier.issn | 1424-8220 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.date.issued | 2025 | |
| utb.relation.volume | 25 | |
| utb.relation.issue | 18 | |
| dc.type | article | |
| dc.language.iso | en | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.identifier.doi | 10.3390/s25185916 | |
| dc.relation.uri | https://www.mdpi.com/1424-8220/25/18/5916 | |
| dc.relation.uri | https://www.mdpi.com/1424-8220/25/18/5916/pdf?version=1758533848 | |
| dc.subject | underfloor heating | en |
| dc.subject | photovoltaic panels | en |
| dc.subject | hybrid heating systems | en |
| dc.subject | thermal efficiency | en |
| dc.subject | numerical simulation | en |
| dc.subject | integration of renewable energy | en |
| dc.subject | room air temperature | en |
| dc.subject | heat loss analysis | en |
| dc.subject | energy supply | en |
| dc.subject | thermal response time | en |
| dc.subject | Energy Efficiency | en |
| dc.subject | Heating Equipment | en |
| dc.subject | Hybrid Systems | en |
| dc.subject | Integration | en |
| dc.subject | Solar Concentrators | en |
| dc.subject | Solar Energy | en |
| dc.subject | Solar Heating | en |
| dc.subject | Solar Power Generation | en |
| dc.subject | Solar Radiation | en |
| dc.subject | Space Heating | en |
| dc.subject | System Stability | en |
| dc.subject | Thermal Comfort | en |
| dc.subject | Thermodynamic Stability | en |
| dc.subject | Air Temperature | en |
| dc.subject | Energy Supplies | en |
| dc.subject | Heat Loss Analyze | en |
| dc.subject | Heating System | en |
| dc.subject | Hybrid Heating System | en |
| dc.subject | Integration Of Renewable Energies | en |
| dc.subject | Losses Analysis | en |
| dc.subject | Photovoltaic Panels | en |
| dc.subject | Room Air | en |
| dc.subject | Room Air Temperature | en |
| dc.subject | Thermal Response | en |
| dc.subject | Thermal Response Time | en |
| dc.subject | Thermal-efficiency | en |
| dc.subject | Underfloor Heating | en |
| dc.subject | Numerical Models | en |
| dc.subject | Air Temperature | en |
| dc.subject | Ambient Air | en |
| dc.subject | Article | en |
| dc.subject | Benchmarking | en |
| dc.subject | Complication | en |
| dc.subject | Electricity | en |
| dc.subject | Energy | en |
| dc.subject | Energy Resource | en |
| dc.subject | Heat Loss | en |
| dc.subject | Heating | en |
| dc.subject | Human | en |
| dc.subject | Hybrid | en |
| dc.subject | Pharmaceutics | en |
| dc.subject | Photovoltaics | en |
| dc.subject | Reaction Time | en |
| dc.subject | Renewable Energy | en |
| dc.subject | Sensor | en |
| dc.subject | Simulation | en |
| dc.subject | Solar Panel | en |
| dc.subject | Solar Radiation | en |
| dc.subject | Temperature | en |
| dc.subject | Thermostability | en |
| dc.description.abstract | The integration of electric underfloor heating systems with photovoltaic (PV) panels presents a promising approach to enhance thermal efficiency and energy sustainability in residential heating. This study investigates the performance of such hybrid systems under different energy supply scenarios. Numerical modeling and simulations were employed to evaluate underfloor heating performance using three electricity sources: standard electric supply, solar-generated energy, and a combined configuration. Solar irradiance sensors were utilized to collect input solar radiation data, which served as a critical parameter for numerical modeling and simulations. The set outdoor air temperature used in the analysis represents an average value calculated from data measured by environmental sensors at the location of the building during the monitored period. Key metrics included indoor air temperature, time to thermal stability, and heat loss relative to outdoor conditions. The combined electric and solar-powered system demonstrated thermal efficiency, improving indoor air temperature by up to 63.6% compared to an unheated room and achieving thermal stability within 22 h. Solar-only configuration showed moderate improvements. Heat loss analysis revealed a strong correlation with indoor–outdoor temperature differentials. Hybrid underfloor heating systems integrating PV panels significantly enhance indoor thermal comfort and energy efficiency. These findings support the adoption of renewable energy technologies in residential heating, contributing to sustainable energy transitions. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1012630 | |
| utb.identifier.scopus | 2-s2.0-105017127648 | |
| utb.identifier.wok | 001580987200001 | |
| utb.identifier.pubmed | 41013154 | |
| utb.source | j-scopus | |
| dc.date.accessioned | 2026-01-16T08:40:24Z | |
| dc.date.available | 2026-01-16T08:40:24Z | |
| dc.description.sponsorship | The investigation was supported by the European Union under the project ROBOPROX (reg. no. CZ.02.01.01/00/22_ 008/0004590) in the area of machine learning. The research related to data acquisition was supported by Operational Programme Johannes Amos Comenius financed by European Structural and Investment Funds and the Czech Ministry of Education, Youth and Sports (Project No. SENDISO\u2014CZ.02.01.01/00/22_008/0004596). | |
| dc.description.sponsorship | European Structural and Investment Funds; Czech Ministry of Education, Youth and Sports [SENDISO-CZ.02.01.01/00/22_008/0004596] | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.access | openAccess | |
| utb.contributor.internalauthor | Charvátová, Hana | |
| utb.contributor.internalauthor | Zálešák, Martin | |
| utb.fulltext.sponsorship | This research received no external funding. | |
| utb.fulltext.sponsorship | The investigation was supported by the European Union under the project ROBOPROX (reg. no. CZ.02.01.01/00/22_ 008/0004590) in the area of machine learning. The research related to data acquisition was supported by Operational Programme Johannes Amos Comenius financed by European Structural and Investment Funds and the Czech Ministry of Education, Youth and Sports (Project No. SENDISO—CZ.02.01.01/00/22_008/0004596). | |
| utb.wos.affiliation | [Charvatova, Hana; Zalesak, Martin] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin 76001, Czech Republic; [Prochazka, Ales] Univ Chem & Technol Prague, Dept Math Informat & Cybernet, Prague 16000, Czech Republic; [Prochazka, Ales; Marik, Vladimir] Czech Tech Univ, Czech Inst Informat Robot & Cybernet, Prague 16000, Czech Republic | |
| utb.scopus.affiliation | Tomas Bata University in Zlin, Zlin, Czech Republic; University of Chemistry and Technology, Prague, Prague, Czech Republic; Czech Institute of Informatics, Robotics and Cybernetics, Prague, Czech Republic | |
| utb.fulltext.projects | - | |
| utb.fulltext.projects | CZ.02.01.01/00/22_ 008/0004590 | |
| utb.fulltext.projects | SENDISO—CZ.02.01.01/00/22_008/0004596 |