IEA Annex 58: Full-scale Empirical Validation of Detailed Thermal Simulation Programs

Strachan, Paul; Monari, Filippo; Kersken, Matthias; Heusler, Ingo

doi:10.1016/j.egypro.2015.11.729

Cited by 16 publications

(12 citation statements)

References 4 publications

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“…A reasonable estimation of the error coming from measurement is about 0.5 -1 °C (Strachan, Monari, Kersken, & Heusler, 2015). Therefore, modelling errors of 1 °C may be considered in the range of the measurement error, while modelling errors of 2 -3 °C are usual (Strachan, Svehla, Heusler, & Kersken, 2016).…”

Section: Ifmentioning

confidence: 99%

Design of experiments for Quick U-building method for building energy performance measurement

Ghiaus

Alzetto

2019

Journal of Building Performance Simulation

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Quick U-building (QUB) is a method for short time measurement of energy performance of buildings, typically one night. It uses the indoor air temperature response to power delivered to the indoor air by electric heaters. This paper introduces a method for estimating the expected measurement error as a function of the amplitude and the time duration of the input signal based on the decomposition of the time response of a state-space model into a sum of exponentials by using the eigenvalues of the state matrix. It is shown that the buildings have a group of dominant time constants, which gives an exponential response, and many very short and very large time constants, which have a small influence on the response. The analysis of the eigenvalues demonstrates that the QUB experiment may be done in a rather short time as compared with the largest time constant of the building.

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Section: Ifmentioning

confidence: 99%

Design of experiments for Quick U-building method for building energy performance measurement

Ghiaus

Alzetto

2019

Journal of Building Performance Simulation

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“…They conclude that many of the programs showed good agreement with measurements, but that some simulations showed disagreements related to user errors. In another publication from the same studied buildings Strachan et al [45] show that each zone had different parameter sensitivity and they conclude that uncertainty analysis is essential for high-quality simulations. De Wilde [17] also concludes that differences between predictions and measurement are often highly specific to the studied building, making it hard to generalize.…”

Section: Building Energy Simulation and Model Validationmentioning

confidence: 99%

Measured and predicted energy use and indoor climate before and after a major renovation of an apartment building in Sweden

Fleur

Moshfegh

Rohdin

2017

Energy and Buildings

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 Energy use and indoor climate of a building are studied before and after a renovation  The study numerically predicts, validates and evaluates energy use and indoor climate  Energy demand is reduced by 44% after renovation and indoor climate is improved  Assumed user behavior has significant impact on estimated energy-saving potential  System boundary affects climate and resource impact from selected renovation measures

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“…The IEA ECB Annex 58 project (2011-2015) on "Reliable Building Energy Performance Characterisation Based on Full Scale Dynamic Measurements" focused on the state of the art of full scale testing, on dynamic data analysis, on the development of common quality procedures and models [6][7][8][9][10]. A recently published work on existing outdoor test cells, reports a classification of outdoor facility showing an extensive use of these utilities in the scientific community [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Design of a New Full-scale Facility for Building Envelope Test: FACT (FACade Tool)

et al. 2017

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International audienceIn the last years, several innovations have been introduced in the field of building envelope research and development. To bridge the gap between research and commercially available products, one of the key step is to evaluate these technologies in 1:1 scale and under real boundary conditions. For this purpose, test in outdoor full-scale facilities in complement with dynamic numerical simulation, allow to assess the performances of these complex envelope components, systems or whole building. In this framework a new versatile facility, named FACT (FACade Tool), is under construction in the southeastern France (CEA-INES platform – Le Bourget du Lac) for building envelope components test. This new full-scale tool will be dedicated to infield evaluation of: opaque and transparent elements, lightweight and massive façades, different thickness and heights and different geometry of the indoor environment. In this paper it is presented the design phase, the concept and the working principle of the facility. The layout definition was supported by preliminary simulations and the results of this modelling activity are discussed in order to guide the construction of the facility and to outline the experimental protocol for the next campaigns in FACT

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IEA Annex 58: Full-scale Empirical Validation of Detailed Thermal Simulation Programs

Cited by 16 publications

References 4 publications

Design of experiments for Quick U-building method for building energy performance measurement

Design of experiments for Quick U-building method for building energy performance measurement

Measured and predicted energy use and indoor climate before and after a major renovation of an apartment building in Sweden

Design of a New Full-scale Facility for Building Envelope Test: FACT (FACade Tool)

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