Energy modelling and calibration of building simulations: A case study of a domestic building with natural ventilation
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 ope...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/1512 |
| Acceso en línea: | http://hdl.handle.net/20.500.12251/1512 https://doi.org/10.3390/en12173360 |
| Access Level: | acceso abierto |
| Palabra clave: | Modelo información para construcción Rendimiento energético Demanda energética Edificación residencial Infiltraciones -aire- Tasa de ventilación en edificio Evaluación energética Simulación energética - herramientas 2501.21 Simulación Numérica 3305.14 Viviendas 3311.01 Tecnología de la Automatización 3311.05 Equipos Eléctricos de Control 3311.16 Instrumentos de Medida de la Temperatura 3322.04 Transmisión de Energía 3322.05 Fuentes no Convencionales de Energía |
| Sumario: | 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. © 2019 by the authors. |
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