Outside boundary conditions of internal walls: simulating an adiabatic or floor-integrated thermal zone?
DOI:
https://doi.org/10.46421/entac.v19i1.2010Keywords:
Simulation, EnergyPlus, Adiabatic walls, Thermal performance, Parametric assessmentAbstract
Parametric studies of building performance often use adiabatic boundary conditions for internal walls. However, studies that verified its impact on the room's thermal conditions through EnergyPlus software were not found. The present study intends to ascertain the suitability of using an adiabatic room model in parametric studies about building envelope thermal performance. A zone's thermal conditions and HVAC consumption were compared when simulated as an isolated or integrated room. It was found that simulating an entire floor or building is not critical when the simulation aims for parametric evaluation.
References
U.S. Department of Energy. EnergyPlus Version 22.1.0 Documentation Engineering Reference 2022.
Marino C, Nucara A, Peri G, Rizzo G, Scaccianoce G. The spatial evaluation of the radiative human body heat exchanges: An effective contribution for limiting energy consumption and achieving better indoor conditions in buildings. Journal of Building Engineering 2018;16:118–28. https://doi.org/10.1016/j.jobe.2017.12.015.
Ochoa C, Aries M, van Loenen E, Hensen J. Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort. Applied Energy 2012;95:238–45. https://doi.org/10.1016/j.apenergy.2012.02.042.
Papachristou C, Hoes PJ, Loomans MGLC, van Goch TAJ, Hensen JLM. Investigating the energy flexibility of Dutch office buildings on single building level and building cluster level. Journal of Building Engineering 2021;40. https://doi.org/10.1016/j.jobe.2021.102687.
Becherini F, Lucchi E, Gandini A, Barrasa MC, Troi A, Roberti F, et al. Characterization and thermal performance evaluation of infrared reflective coatings compatible with historic buildings. Building and Environment 2018;134. https://doi.org/10.1016/j.buildenv.2018.02.034.
Melo AP, Versage RS, Sawaya G, Lamberts R. A novel surrogate model to support building energy labelling system: A new approach to assess cooling energy demand in commercial buildings. Energy and Buildings 2016;131. https://doi.org/10.1016/j.enbuild.2016.09.033.
Bueno B, Wienold J, Katsifaraki A, Kuhn TE. Fener: A Radiance-based modelling approach to assess the thermal and daylighting performance of complex fenestration systems in office spaces. Energy and Buildings 2015;94. https://doi.org/10.1016/j.enbuild.2015.02.038.
Sorgato MJ, Melo AP, Marinoski DL, Lamberts R. Análise do procedimento de simulação da NBR 15575 para avaliação do desempenho térmico de edificações residenciais. Ambiente Construído 2014;14. https://doi.org/10.1590/s1678-86212014000400007.
Buratti C, Palladino D, Moretti E. Prediction of Indoor Conditions and Thermal Comfort Using CFD Simulations: A Case Study Based on Experimental Data. Energy Procedia, vol. 126, 2017. https://doi.org/10.1016/j.egypro.2017.08.130.
ASHRAE. ASHRAE Handbook Fundamentals. ASHRAE Inc 2017;2017:1–1013.
American Society of Heating Refrigerating and Air-Conditioning Engineers [ASHRAE]. ANSI/ASHRAE Standard 55-2020: Thermal environmental conditions for human occupancy. 2020.
Amazonas S de I do E do A. Secretaria de Infraestrutura do Estado do Amazonas: Diagnóstico Ambiental. Manaus: 2012.
Kottek M, Grieser J, Beck C, Rudolf B, Rubel F. World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift 2006. https://doi.org/10.1127/0941-2948/2006/0130.
DOE USD of E. Weather Data 2017. https://energyplus.net/weather (accessed January 23, 2017).
Fanger PO. Thermal Comfort: Analysis and applications in environmental engineerings. Michigan: Mcgraw-hill; 1970.
Arens E, Hoyt T, Zhou X, Huang L, Zhang H, Schiavon S. Modeling the comfort effects of short-wave solar radiation indoors. Building and Environment 2015;88:3–9. https://doi.org/10.1016/j.buildenv.2014.09.004.
Pinto MM, Westphal FS. Assessment of thermal comfort in workstations near highly-glazed façades: Solar-adjust models. Ambiente Construído 2022.
Atzeri AM, Cappelletti F, Tzempelikos A, Gasparella A. Comfort metrics for an integrated evaluation of buildings performance. Energy and Buildings 2016;127:411–24. https://doi.org/10.1016/j.enbuild.2016.06.007.
ASHRAE. ANSI/ASHRAE Standard 55-2017: Thermal Environmental Conditions for Human Occupancy. vol. 2017. 2017. https://doi.org/ISSN 1041-2336.
ISO. ISO 7730 Ergonomics of the thermal environment — Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria 2005:1–60.
EN. EN 16798-1 Energy performance of buildings — Part 1: Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics — Module M1-6. 2019.
ISO. ISO 17772-1 Energy Performance of Buildings – Indoor Environmental Quality – Part 1: Indoor Environmental Input Parameters for the Design and Assessment of Energy Performance of Buildings 2017:1–39.
ABNT. ABNT NBR 16401-2 Instalações de ar-condicionado – Sistemas centrais e unitários Parte 2: Parâmetros de conforto térmico. Associação Brasileira de Normas Técnicas 2008:1–11.
CELESC. Conta de Energia 2022. https://www.celesc.com.br/conta-de-energia (accessed May 10, 2022).
Westphal FS. Análise de incertezas e de sensibilidade aplicadas à simulação de desempenho energético de edificações comerciais. Universidade Federal De Santa Catarina (UFSC), 2007.
