Empirical and Comparative Validation for a Building Energy Model Calibration Methodology
| Autor: | Carlos Fernández Bandera, Germán Ramos Ruiz, Vicente Gutiérrez González |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Process (engineering)
Computer science Calibration (statistics) 020209 energy sensors saving 02 engineering and technology energy simulation 010501 environmental sciences lcsh:Chemical technology sensors 01 natural sciences 7. Clean energy Biochemistry Field (computer science) Article Analytical Chemistry Reduction (complexity) Energy simulation 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Building energy models (BEMs) Instrumentation Annex 58 0105 earth and related environmental sciences Sensors saving Economic sector Methodology Internal thermal mass Infiltration Building energy Inverse model methodology calibration Industrial engineering Atomic and Molecular Physics and Optics Calibrated model validation Work (electrical) Preparedness EnergyPlus Calibration calibrated model validation building energy models (BEMs) |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 17 Dadun. Depósito Académico Digital de la Universidad de Navarra instname Sensors, Vol 20, Iss 5003, p 5003 (2020) |
| ISSN: | 1424-8220 |
| Popis: | Nowadays, building energy models (BEMs) are widely used, particularly in the assessment of energy consumption in buildings to address the potential savings that can be generated. The realisation of a dynamic energy model based on high-fidelity physics (white-box models) requires a tuning process to fit the model to reality, due to many uncertainties involved. Currently some research trends try to reduce this performance gap by modulating different types of experimental parameters such as: capacitances or infiltration. The EnergyPlus simulation software, in its latest versions, has implemented an object: HybridModel:Zone that calculates the infiltration and internal mass of buildings using an inverse modelling approach that employs only the measured indoor temperature data to invert the heat balance equation for the zone under study. The main objective of this paper is to reduce the execution time and uncertainties in the development of quality energy models by generating a new calibration methodology that implements this approach. This uses, as a starting point, a research created by the authors of this study, which was empirically and comparatively validated against the energy models developed by the participants in Annex 58. It is also worth highlighting the empirical validation of the HybridModel:Zone object, since it was activated in all scenarios where its execution is possible: periods of seven days or more of free oscillation and periods in which the building is under load. The findings are promising. The data generated with the new methodology, if compared with those produced by the baseline model, improve their resemblance to the real ones by 22.9%. While those of its predecessor did it by 15.6%. For this study, the two dwellings foreseen in Annex 58 of the IEA ECB project have been modelled and their real monitoring data have been used. |
| Databáze: | OpenAIRE |
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