Verification and validation and uncertainty quantification

Geffray, C.; Gerschenfeld, A.; Kudinov, Pavel; Mickus, Ignas; Jeltsov, Marti; Kööp, Kaspar; Grishchenko, Dmitry; Pointer, W. David

doi:10.1016/b978-0-08-101980-1.00008-9

Cited by 11 publications

(6 citation statements)

References 12 publications

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“…We performed uncertainty and sensitivity analysis to quantify the variability in the output due to the variability in the input parameters [ 55 ]. We followed a sampling-based method as described in Saltelli [ 56 , 57 ] and generated 10,000 samples for each estimated parameter (i.e.,

and

) using parametric bootstrap [ 58 , 59 ] and ran the model obtaining a sample of the same size for the output.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Methods for the Prioritization of Foods Implicated in the Transmission of Hepatititis E to Humans in Italy

Moro

Suffredini²,

Isopi

et al. 2021

Foods

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Hepatitis E is considered an emerging foodborne disease in Europe. Several types of foods are implicated in the transmission of the hepatitis E virus (HEV) to humans, in particular, pork and wild boar products. We developed a parametric stochastic model to estimate the risk of foodborne exposure to HEV in the Italian population and to rank the relevance of pork products with and without liver (PL and PNL, respectively), leafy vegetables, shellfish and raw milk in HEV transmission. Original data on HEV prevalence in different foods were obtained from a recent sampling study conducted in Italy at the retail level. Other data were obtained by publicly available sources and published literature. The model output indicated that the consumption of PNL was associated with the highest number of HEV infections in the population. However, the sensitivity analysis showed that slight variations in the consumption of PL led to an increase in the number of HEV infections much higher than PNL, suggesting that PL at an individual level are the top risky food. Uncertainty analysis underlined that further characterization of the pork products preparation and better assessment of consumption data at a regional level is critical information for fine-tuning the most risky implicated food items in Italy.

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and

) using parametric bootstrap [ 58 , 59 ] and ran the model obtaining a sample of the same size for the output.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Methods for the Prioritization of Foods Implicated in the Transmission of Hepatititis E to Humans in Italy

Moro

Suffredini²,

Isopi

et al. 2021

Foods

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“…An uncertainty analysis aims to measure the variability in output that is caused by input variability [26]. Internal uncertainty (𝑢 𝑖 ) can be estimated using the following equation [27]:…”

Section: Uncertainty Analysesmentioning

confidence: 99%

Solar Still with an Integrated Conical Condenser

Mugisidi

Fajar

Syaiful

et al. 2023

CFDL

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A solar still requires only two processes: evaporation and condensation. In a solar still, evaporation occurs because of the pressure difference caused by the difference in the temperature of the water and that of the glass cover, while condensation occurs when the water vapour comes into contact with a surface cooler than its dew point. Condensers have been proven to effectively increase the productivity of solar stills. This study aims to compare the efficiency of two developed solar stills with integrated conical condensers to that of a conventional solar still; it also measures the effectiveness of the condenser. Three types of solar stills were used in this study: a conventional solar still (CSS), developed solar still 1 (DSS-1) and developed solar still 2 (DSS-2). All three stills were tested simultaneously. The three solar stills are all made of aluminium with a thickness of 3 mm. The software Ansys Fluent 18.2 was used to analyse the computational fluid dynamics in the stills. The results showed that the efficiency of the CSS, DSS-1 and DSS-2 were 23%, 36.5% and 46.4%, respectively. The freshwater yields of DSS-1 and DSS-2 were, respectively, 1.17 and 1.81 times greater than that of the CSS. These increases in the productivity of DSS-1 and DSS-2 are significantly influenced by the shape of the condenser integrated in these two solar stills; the effectiveness of this condenser was 85.57% and 91.25%, respectively, in DSS-1 and DSS-2. In a simulation, the condenser’s effectiveness was 99.85%.

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“…Uncertainty Analysis (UA), in this context, refers to quantifying the variability in outputs (eg, building energy performance) due to uncertainty or lack of knowledge in inputs (eg, design and operation parameters). 33 The framework is comparative in nature, where a building is studied before and after the adoption of the green building labeling and corresponding building characteristics. Such an approach helps evaluate and compare building performance and resilience pre-and postgreen building certification, answering four main research questions:…”

Section: Objectives and Research Questionsmentioning

confidence: 99%

“…This research proposes a modeling framework to quantify the impact of uncertainty in technical and operational parameters on green‐certified building performance. Uncertainty Analysis (UA), in this context, refers to quantifying the variability in outputs (eg, building energy performance) due to uncertainty or lack of knowledge in inputs (eg, design and operation parameters) 33 . The framework is comparative in nature, where a building is studied before and after the adoption of the green building labeling and corresponding building characteristics.…”

Section: Introductionmentioning

confidence: 99%

A data‐driven modeling and analysis approach to test the resilience of green buildings to uncertainty in operation patterns

Alkaabi

Cho

Mayyas

et al. 2020

Energy Science & Engineering

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Economic development, population growth, and urbanization are putting increasing pressures on critical resources, such as food, water, and electricity. 1,2 The rapid population growth and urban development are often accompanied by continual increases in CO 2 emissions, 70 percent of which are coming from cities. 3 In countries with extreme climate conditions, the demand for resources, particularly energy, is intensified. 4 For instance, the United Arab Emirates (UAE) is often ranked among the top 10 countries with the highest electricity consumption per capita (MWh/person) in the world. 5,6 When comparing different sectors of the economy, the building sector often carries the highest weight in terms of energy consumption and associated CO 2 emissions. In most developed countries, the building sector accounts for 30 to 40

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Verification and validation and uncertainty quantification

Cited by 11 publications

References 12 publications

Quantitative Methods for the Prioritization of Foods Implicated in the Transmission of Hepatititis E to Humans in Italy

Quantitative Methods for the Prioritization of Foods Implicated in the Transmission of Hepatititis E to Humans in Italy

Solar Still with an Integrated Conical Condenser

A data‐driven modeling and analysis approach to test the resilience of green buildings to uncertainty in operation patterns

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