Energy Modelling and Calibration of Building Simulations: A Case Study of a Domestic Building with Natural Ventilation

Carolina Aparicio-Fernández, José-Luis Vivancos, Paula Cosar-Jorda and Richard A. Buswell
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Carolina Aparicio-Fernández: Departamento de Construciones Arquitectonicas, Universitat Politècnica de València, Camino de Vera s/n., 46022 Valencia, Spain
José-Luis Vivancos: GIDDP, Departamento de Proyectos de Ingeniería, Universitat Politècnica de València, Camino de Vera s/n., 46022 Valencia, Spain
Paula Cosar-Jorda: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK
Richard A. Buswell: School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK

Energies, 2019, vol. 12, issue 17, 1-13

Abstract: In this paper, the building energy performance modelling tools TRNSYS (TRaNsient SYstem Simulation program) and TRNFlow (TRaNsient Flow) have been used to obtain the energy demand of a domestic building that includes the air infiltration rate and the effect of natural ventilation by using window operation data. An initial model has been fitted to monitoring data from the case study, building over a period when there were no heat gains in the building in order to obtain the building infiltration air change rate. After this calibration, a constant air-change rate model was established alongside two further models developed in the calibration process. Air change rate has been explored in order to determine air infiltrations caused by natural ventilation due to windows being opened. These results were compared to estimates gained through a previously published method and were found to be in good agreement. The main conclusion from the work was that the modelling ventilation rate in naturally ventilated residential buildings using TRNSYS and TRNSFlow can improve the simulation-based energy assessment.

Keywords: energy demand; residential buildings; window opening; natural ventilation; air infiltration rate; calibrated simulation; TRNSYS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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