Investigating Efficient Thermal Distribution in a House Room by combining Statistics with Computational Fluid Dynamics
A theoretical investigation of an efficient thermal distribution in a house
Received: 23 May 2024 | Revised: 10 June 2024 | Accepted: 15 June 2024 | Online: 1 August 2024
Corresponding author: Estaner Claro Romao
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 evenly distributed 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.
Keywords:
Computational Fluid Dynamics, energy saving, statistics, thermal simulation, heating systemDownloads
References
A. Sozen, "Future projection of the energy dependency of Turkey using artificial neural network," Energy Policy, vol. 37, no. 11, pp. 4827–4833, Nov. 2009.
J. P. Dorian, H. T. Franssen, and D. R. Simbeck, "Global challenges in energy," Energy Policy, vol. 34, no. 15, pp. 1984–1991, Oct. 2006.
S. Bilgen, "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, vol. 38, pp. 890–902, Oct. 2014.
D. Pineau, P. Riviere, P. Stabat, P. Hoang, and V. Archambault, "Performance analysis of heating systems for low energy houses," Energy and Buildings, vol. 65, pp. 45–54, Oct. 2013.
J. Tsutsumi, T. Katayama, A. Ishii, P. He, and T. Hayashi, "Investigation and numerical simulation of the wind effects on thermal comfort in a house," Journal of Wind Engineering and Industrial Aerodynamics, vol. 60, pp. 267–280, Apr. 1996.
A. Charraou, S. Oubenmoh, A. Mourid, R. Saadani, M. Rahmoune, and M. El Alami, "Experimental study and numerical simulation of a floor heating system in a three-dimensional model: Parametric study and improvement," Applied Thermal Engineering, vol. 233, Oct. 2023, Art. no. 121151.
A. Flaga-Maryanczyk, J. Schnotale, J. Radon, and K. Was, "Experimental measurements and CFD simulation of a ground source heat exchanger operating at a cold climate for a passive house ventilation system," Energy and Buildings, vol. 68, pp. 562–570, Jan. 2014.
A. Stamou and I. Katsiris, "Verification of a CFD model for indoor airflow and heat transfer," Building and Environment, vol. 41, no. 9, pp. 1171–1181, Sep. 2006.
Z. Ma, H. Li, Q. Sun, C. Wang, A. Yan, and F. Starfelt, "Statistical analysis of energy consumption patterns on the heat demand of buildings in district heating systems," Energy and Buildings, vol. 85, pp. 464–472, Dec. 2014.
D. Majcen, L. Itard, and H. Visscher, "Statistical model of the heating prediction gap in Dutch dwellings: Relative importance of building, household and behavioural characteristics," Energy and Buildings, vol. 105, pp. 43–59, Oct. 2015.
C. Carpino, R. Bruno, and N. Arcuri, "Statistical analysis of the heating demand in residential buildings located in Mediterranean climate and proposals for refurbishment," Energy Procedia, vol. 133, pp. 16–27, Oct. 2017.
E. C. Romao and L. H. P. de Assis, "Numerical Simulation of 1D Unsteady Heat Conduction-Convection in Spherical and Cylindrical Coordinates by Fourth-Order FDM," Engineering, Technology & Applied Science Research, vol. 8, no. 1, pp. 2389–2392, Feb. 2018.
M. D. de Campos, E. Claro Romao, and L. F. M. de Moura, "A finite-difference method of high-order accuracy for the solution of transient nonlinear diffusive–convective problem in three dimensions," Case Studies in Thermal Engineering, vol. 3, pp. 43–50, Jul. 2014.
V. Gerlich, K. Sulovska, and M. Zalesak, "COMSOL Multiphysics validation as simulation software for heat transfer calculation in buildings: Building simulation software validation," Measurement, vol. 46, no. 6, pp. 2003–2012, Jul. 2013.
J. Furlan, J. A. Martins, and E. C. Romao, "Dispersion of toxic gases (CO and CO2) by 2D numerical simulation," Ain Shams Engineering Journal, vol. 10, no. 1, pp. 151–159, Mar. 2019.
D. Salvi, D. Boldor, G. M. Aita, and C. M. Sabliov, "COMSOL Multiphysics model for continuous flow microwave heating of liquids," Journal of Food Engineering, vol. 104, no. 3, pp. 422–429, Jun. 2011.
E. C. Romao, A. F. Siqueira, and J. A. Martins, "Numerical Simulation and Optimization of Methane Steam Reforming to Maximize H2 Production: A Case Study," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10255–10260, Apr. 2023.
W. R. do P. Junior, J. A. Martins, and E. C. Romao, "Utilizing Numerical Simulations to Analyze the Efficiency of a Porous Reactor," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8755–8759, Jun. 2022.
B. Pirouz, S. A. Palermo, S. N. Naghib, D. Mazzeo, M. Turco, and P. Piro, "The Role of HVAC Design and Windows on the Indoor Airflow Pattern and ACH," Sustainability, vol. 13, no. 14, Jan. 2021, Art. no. 7931.
C. R. Walsh and R. T. Patterson, "Precipitation and Temperature Trends and Cycles Derived from Historical 1890–2019 Weather Data for the City of Ottawa, Ontario, Canada," Environments, vol. 9, no. 3, Mar. 2022, Art. no. 35.
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