Practical application of uncertainty analysis and sensitivity analysis on an experimental house

Spitz, Clara; Mora, Laurent; Wurtz, Étienne; Jay, Arnaud

doi:10.1016/j.enbuild.2012.08.013

Cited by 109 publications

(60 citation statements)

References 12 publications

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“…Monte Carlo analysis (MCA) is one of the most commonly used techniques for carrying out global sensitivity and uncertainty analysis [43,59,67,[74][75][76][77][78]. It is based on a repeated number of simulations with a random sampling of the models input.…”

Section: Monte Carlo Methodsmentioning

confidence: 99%

Methodologies and Advancements in the Calibration of Building Energy Models

2015

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Buildings do not usually perform during operation as well as predicted during the design stage. Disagreement between simulated and metered energy consumption represents a common issue in building simulation. For this reason, the calibration of building simulation models is of growing interest. Sensitivity and uncertainty analyses play an important role in building model accuracy. They can be used to identify the building model parameters most influent on the energy consumption. Given this, these analyses should be integrated within calibration methodologies and applications for tuning the parameters. This paper aims at providing a picture of the state of the art of calibration methodologies in the domain of building energy performance assessment. First, the most common methodologies for calibration are presented, emphasizing criticalities and gaps that can be faced. In particular the main issues to be addressed, when carrying out calibrated simulation, are discussed. The standard statistical criteria for considering the building models calibrated and for evaluating their goodness-of-fit are also presented. Second, the commonly used techniques for investigating uncertainties in building models are reviewed. Third, a review of the latest main studies in the calibrated simulation domain is presented. Criticalities and recommendations for new studies are finally provided. OPEN ACCESSEnergies 2015, 8 2549

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Section: Monte Carlo Methodsmentioning

confidence: 99%

Methodologies and Advancements in the Calibration of Building Energy Models

2015

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“…However, the net volumes are small: 0.25-0.46 m 2 and the aims of these test houses have been significantly different. INCAS platform with several experimental houses has been built near Chambery, France [7]. Realistic experimental houses have been described with several bedrooms, 2 floors, and several windows on each side.…”

Section: Introductionmentioning

confidence: 99%

Impact of Different Building Materials on Summer Comfort in Low-Energy Buildings

Ozolins

Jakovičs

Gendelis

2015

Latvian Journal of Physics and Technical Sciences

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The aim of the current paper is to analyse thermal comfort and overheating risks in the low-energy buildings in a summer season under Latvian climate conditions both experimentally and numerically. An interior temperature and relative humidity are analysed under free-floating conditions. Two cases are analysed: in one case, the solar influence through the window is taken into account; in the other this influence is omitted. Three different building solutions are observed: two building structures which mainly consist of the mineral wool and wooden materials and one structure from aerated clay bricks and mineral wool. The experiments have been implemented in test stands in Riga, Latvia. The numerical simulations based on measurements obtained from test stands have been performed using software WUFI Plus. The results show that the wooden constructions have high overheating risks.

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“…Other 23 techniques remained the structure of the building unchanged but storing and extracting 24 the cold needed electric fan. As an alternative of positioning the thermal mass in the 25 walls, it could be introduced into the ventilation system. Heat thermal energy storage 26 unit (HTES) is a similar free-cooling system to the one studied in this paper.…”

Section: Introductionmentioning

confidence: 99%

Summer comfort in a low-inertia building with a new free-cooling system

et al. 2013

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Wood-framed buildings are considered to have low energy consumption since their construction mode generally gives high U-values and limited thermal bridges. Although the construction mode results in low heating consumption, the lack of storage capacity in the internal walls makes passive cooling designs such as night ventilation inappropriate. Consequently, the interior is subject to considerable temperature swings and higher temperatures than those of buildings with more massive internal surfaces. This paper investigates the possibility of reducing the energy used for cooling buildings by linking a so-called "phase-shifter" air/mass system to the HVAC system. This system is capable to restore the night cooling potential in the daytime by shifting the input temperature oscillation to around half a day, whereas temperature swing is conserved. The numerical model implemented on the SimSpark platform has been validated against the analytical solution for the constant airflow and harmonic temperature profile; then experimental data (obtained from the full-scale prototype designed and installed at the CSTB) has been used to assess its predictive capability with non-constant airflow. Using reduced ventilation periods has been numerically studied regarding environmental air resource and thermal storage efficiently of the system. The size and electricity consumption were optimized by this way. A comfort analysis was carried out on an experimental building with very high energy efficiency (INCA, INES, Le Bourget-du-Lac, France) based on the EN ISO 15251 adaptive model. Energy building simulations demonstrate that associating a phase-shifter to a low-inertia building gives it similar internal conditions to those of a more massive night-ventilated structure. Furthermore the proposed optimization greatly reduces the size of the system (by 30%) and the electricity consumption (by at least 38%) while the temperature is out of the comfort range for an extra 5% of the time.

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Practical application of uncertainty analysis and sensitivity analysis on an experimental house

Cited by 109 publications

References 12 publications

Methodologies and Advancements in the Calibration of Building Energy Models

Methodologies and Advancements in the Calibration of Building Energy Models

Impact of Different Building Materials on Summer Comfort in Low-Energy Buildings

Summer comfort in a low-inertia building with a new free-cooling system

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