Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics (2024)
- Authors:
- USP affiliated authors: SIQUEIRA, ADRIANO FRANCISCO - EEL ; ROMÃO, ESTANER CLARO - EEL
- Unidade: EEL
- DOI: 10.48084/etasr.7923
- Subjects: ESTATÍSTICA; ENERGIA
- Keywords: energy saving; statistics; thermal simulation; computational fluid dynamics; heating system
- Agências de fomento:
- Language: Inglês
- Abstract: The study of energy sources is an open subject due to constraints on the current energy global production versus the current and future energy demands. From the consumption perspective, houses pull considerable energy from the electrical grid. With that being said, this paper investigates the theoretical thermal distribution of the heat in the basement of a house and measures the theoretical temperatures throughout different points at the same height by using statistics and numerical simulation. The numerical simulation, such as Computational Fluid Dynamic Analysis by COMSOLTM combined with Statistics by MiniTabTM was utilized to determine the most economical settings for the variables in the heating system evaluation. It is understood that thermal comfort for householders is achieved when the heat is evenlydistributed in the room. To have a more realistic model set-up, the air flow in the room was considered as a turbulent model. The studied variables were intake airflow, positioning of the vents (intakes), airflow temperature, and external temperature. The results showed the significance of the variables. The latter were ranked from the highest to the lowest as: external temperature, airflow velocity, inlet location, and temperature input, while the highest interaction was found between the external temperature and air inlet velocity. This study comes up with a superior understanding of the system and generates an efficient setting for the variables for energy-saving purposes.
- Imprenta:
- Source:
- Título: Engineering Technology & Applied Science Research
- ISSN: 2241-4487
- Volume/Número/Paginação/Ano: v.4, n.4, p.15791-15796, 2024
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
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ABNT
MARTINS, Jairo Aparecido e SIQUEIRA, Adriano Francisco e ROMAO, Estaner Claro. Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics. Engineering Technology & Applied Science Research, v. 4, n. 4, p. 15791-15796, 2024Tradução . . Disponível em: https://doi.org/10.48084/etasr.7923. Acesso em: 28 dez. 2025. -
APA
Martins, J. A., Siqueira, A. F., & Romao, E. C. (2024). Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics. Engineering Technology & Applied Science Research, 4( 4), 15791-15796. doi:10.48084/etasr.7923 -
NLM
Martins JA, Siqueira AF, Romao EC. Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics [Internet]. Engineering Technology & Applied Science Research. 2024 ;4( 4): 15791-15796.[citado 2025 dez. 28 ] Available from: https://doi.org/10.48084/etasr.7923 -
Vancouver
Martins JA, Siqueira AF, Romao EC. Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics [Internet]. Engineering Technology & Applied Science Research. 2024 ;4( 4): 15791-15796.[citado 2025 dez. 28 ] Available from: https://doi.org/10.48084/etasr.7923 - Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study
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Informações sobre o DOI: 10.48084/etasr.7923 (Fonte: oaDOI API)
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