Empirical evaluation of EnergyPlus infiltration model for a case study in a high-rise residential building

Porsani, Gabriela Bastos; Casquero-Modrego, Núria; Trueba, Juan Bautista Echeverría; Bandera, Carlos Fernández

doi:10.1016/j.enbuild.2023.113322

Cited by 10 publications

(2 citation statements)

References 37 publications

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“…So far, a large number of case studies and theoretical validations have been carried out. Therefore, EnergyPlus has become a widely used platform for calculating building thermal processes and dynamically simulating building energy distribution [45,46].…”

Section: Simulation Study Toolsmentioning

confidence: 99%

Optimization Analysis of an Energy-Saving Renovation Scheme for Building Envelopes of Existing Rural Houses Based on a Comprehensive Benefit Evaluation

Cao,

Sun,

et al. 2024

Buildings

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In the cold regions of China, the existing rural houses are widely distributed and in large numbers. There are widespread problems such as low thermal performance of building envelopes, high building energy consumption, and poor indoor thermal environments. Reducing the energy consumption of building heating by reforming the envelope structure can reduce the environmental pollution caused by heating. In this paper, the existing rural houses in Tongchuan City, Shaanxi Province are taken as the research object, and EnergyPlus software is used to calculate building heating energy consumption, and the schemes are compared and selected via the entropy value method. Based on a comprehensive benefit evaluation, the best scheme for the renovation of building envelopes of rural houses in Tongchuan City is put forward. The research results show that the energy saving rate of buildings can reach more than 50% after renovation. In the evaluation of energy saving, incremental cost, return on investment, carbon emission reduction and unguaranteed hours, the weights are 0.1915, 0.2104, 0.2312, 1755, and 0.187, respectively. The best renovation scheme for rural housing is as follows: the thickness of the XPS board is 90 mm for exterior wall insulation; the thickness of the XPS board is 80 mm for roof insulation; the window-to-wall ratio of additional sunspace is 0.6; and the type of exterior windows is a broken-bridge hollow aluminum window of 6 + 12A + 6 (mm).

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Section: Simulation Study Toolsmentioning

confidence: 99%

Optimization Analysis of an Energy-Saving Renovation Scheme for Building Envelopes of Existing Rural Houses Based on a Comprehensive Benefit Evaluation

Cao,

Sun,

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…A common phenomenon that occurs in multi-family and tall residential buildings is that the external wind pressure and stack effect create complex airflow paths, which lead to indoor air problems inside the dwellings [55]. Prior to the present research, an analysis was conducted in an attic located in a seven-story building to obtain the coefficients of the DesignFlowRate model, applying a blower door test and a tracer gas experiment [56]. This study replicates the successful methodology for achieving the coefficients, aiming to verify whether it applies to the equations of the remaining models: ZoneInfiltration: FlowCoefficient (IFC) and ZoneInfiltration: EffectiveLeakageArea (ELA).…”

mentioning

confidence: 99%

Infiltration Models in EnergyPlus: Empirical Assessment for a Case Study in a Seven-Story Building

Bastos Porsani,

Fernández-Vigil Iglesias,

Echeverría Trueba

et al. 2024

Buildings

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The current decarbonization transition to be achieved by 2050 according to the European Council has given great prominence to the use of Digital Twins as tools for energy management. For their correct operation, it is essential to control the uncertainties of the energy models, which lead to differences between the measured and predicted data. One of the key parameters that is most difficult to assess numerically is air leakage. The existent infiltration models available in EnergyPlus were developed to be applied in low-rise residential buildings with fewer than three stories. Therefore, it is common to rely on air leakage equations employing predefined coefficients. This research presents an empirical assessment of the performance of two EnergyPlus air leakage models, the “Effective Leakage Area” and the “Flow Coefficient”, in predicting dynamic infiltration within the attic of a seven-story building. Blower door tests, along with the application of CO2 tracer gas, were conducted to establish coefficients for the models. Then, they were evaluated in three independent periods according to the criteria established in the American Society for Testing Material D5157 Standard. Those models that only used in situ coefficients consistently met the standard across all three periods, demonstrating for both equations their accurate performance and reliability. For the best model derived from tracer gas data, the R2 and NMSE values are 0.94 and 0.019, respectively. In contrast, the model developed using blower door test data and EnergyPlus default values presented a 64% reduction in accuracy compared to the best one. This discrepancy could potentially lead to misleading energy estimates. Although other software options exist for estimating infiltration, this study specifically targets EnergyPlus users. Therefore, these findings offer valuable insights to make more informed decisions when implementing the infiltration models into energy simulations for high-rise buildings using EnergyPlus.

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Optimizing thermal comfort and energy efficiency in hospitals with PCM-Enhanced wall systems

Cui,

Zhang,

Yang

et al. 2024

Energy and Buildings

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Empirical evaluation of EnergyPlus infiltration model for a case study in a high-rise residential building

Cited by 10 publications

References 37 publications

Optimization Analysis of an Energy-Saving Renovation Scheme for Building Envelopes of Existing Rural Houses Based on a Comprehensive Benefit Evaluation

Optimization Analysis of an Energy-Saving Renovation Scheme for Building Envelopes of Existing Rural Houses Based on a Comprehensive Benefit Evaluation

Infiltration Models in EnergyPlus: Empirical Assessment for a Case Study in a Seven-Story Building

Optimizing thermal comfort and energy efficiency in hospitals with PCM-Enhanced wall systems

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