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Jérôme Frutiger

Jérôme Frutiger
Bayer AG · Engineering & Technology

MSc ETH in Chemical and Bioengineering, PhD

About

22
Publications
2,354
Reads
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223
Citations
Additional affiliations
June 2014 - May 2017
Technical University of Denmark
Position
  • PhD Student
February 2013 - June 2013
ETH Zurich
Position
  • MSc Project Student
February 2012 - May 2012
ETH Zurich
Position
  • Research project student

Publications

Publications (22)
Article
This study presents a methodology with tools integration to apply advanced uncertainty propagation and sensitivity analysis in connection with commercial process simulation software. The methodology was applied to two processes: a heat pump system and a molecular distillation process. The input parameters of the selected thermodynamic model, namely...
Article
Halogenated olefins can be an attractive alternative to working fluids that are under consideration for phase-out. In order to evaluate the potential of halogenated olefins as working fluids for organic Rankine cycle units with a realistic perspective it is necessary to predict both their primary thermophysical properties and their associated uncer...
Article
Full-text available
This paper is concerned with evaporation of moderately volatile liquids, gasoline in particular, due to spray generation, liquid fragmentation and fountain effects following accidental puncture of a pressurized pipeline. Hazard analysis predicts that extensive evaporation will take place. The paper examines a typical fuel depot receiving gasoline f...
Article
This study presents a novel methodology for the identification of suitable pure component working fluids for heat pumps. Two challenges are addressed: the difficulties in solving a complex product-process design problem and making it accessible for practical applications, as well as the impact of the working fluid property uncertainties on the solu...
Article
A methodology is presented to solve computer-aided molecular design (CAMD) and process design model problems under consideration of fluid property uncertainty. The uncertainties of the group contribution (GC) property prediction models are quantified for which asymptotic approximation of the covariance of parameter estimation errors is performed fo...
Conference Paper
Full-text available
In previous literature, the uncertainty analyses of experimental performance metrics of air conditioners usually ignored the uncertainty due to the equation of state (EoS) of the refrigerants. One possible reason was that the uncertainty reported in the EoS literature was much smaller than the one of the system performance measurement. However, wit...
Article
Full-text available
Decision support systems are a key focus of research on developing control rooms to aid operators in making reliable decisions, and reducing incidents caused by human errors. For this purpose, models of complex systems can be developed to diagnose causes or consequences for specific alarms. Models applied in safety systems of complex and safety-cri...
Chapter
This study presents a methodology to apply Monte Carlo methods for property uncertainty propagation in the process simulation software SimSci PRO/II. The aim of this work is to integrate advanced uncertainty and sensitivity analysis tools into commercial process simulators. The property uncertainty and sensitivity analysis tools were applied to a h...
Chapter
Development of predictive environmental property models is increasingly becoming crucial as stringent regulations for substances with high global warming and ozone depletion potentials are being introduced. This contribution presents new environmental property models using two group contribution (GC) based approaches for the prediction of ozone dep...
Article
Given the environmental concerns driving process developments and considering the size and scale of potential application of post combustion capture (PCC), it is important to fully understand process hazards. In this work we present an environmental, health and safety (EHS) hazard assessment framework for screening and comparing amine based PCC opt...
Article
Evaluations of equations of state (EoS) should include uncertainty. This study presents a generic method to analyse EoS from a detailed uncertainty analysis of the mathematical form and the data used to obtain EoS parameter values. The method is illustrated by comparison of Soave–Redlich–Kwong (SRK) cubic EoS with perturbed-chain statistical associ...
Chapter
Generating and defining Major Accident Scenarios (MAS) are commonly agreed as the key step for quantitative risk assessment (QRA). The aim of the study is to explore the feasibility of using Multilevel Flow Modeling (MFM) methodology to formulating MAS. Traditionally this is usually done based on historical incidents or the outcome of HAZOP/HAZID....
Chapter
Three different strategies of how to combine computational chemical product design with Monte Carlo based methods for uncertainty analysis of chemical properties are outlined. One method consists of a computer-aided molecular design (CAMD) solution and a post-processing property uncertainty propagation through the considered process. It is demonstr...
Chapter
This study combines Monte Carlo based process simulation features with classical hazard identification techniques for consequences of deviations from normal operating conditions investigation and process safety examination. A Monte Carlo based method has been used to sample and evaluate different deviations in process parameters simultaneously, the...
Article
This study presents a generic methodology to select working fluids for ORC (Organic Rankine Cycles) taking into account property uncertainties of the working fluids. A Monte Carlo procedure is described as a tool to propagate the influence of the input uncertainty of the fluid parameters on the ORC model output, and provides the 95%-confidence inte...
Article
This study presents new group contribution (GC) models for the prediction of Lower and Upper Flammability Limits (LFL and UFL), Flash Point (FP) and Auto Ignition Temperature (AIT) of organic chemicals applying the Marrero/Gani (MG) method. Advanced methods for parameter estimation using robust regression and outlier treatment have been applied to...
Chapter
This study compares two methods for global sensitivity analysis as a new approach for the identification and ranking of target properties in molecular design problems: A modified Morris Screening technique and Monte Carlo based standard regression. The two methodologies are highlighted in a case study involving the design of a working fluid for an...
Article
Flammability data is needed to assess the risk of fire and explosions. This study presents a new group contribution (GC) model to predict the upper flammability limit UFL of organic chemicals. Furthermore, it provides a systematic method for outlier treatment in order to improve the parameter estimation of the GC model. The new method identifies an...
Article
A rigorous methodology is developed that addresses numerical and statistical issues when developing group contribution (GC) based property models such as regression methods, optimization algorithms, performance statistics, outlier treatment, parameter identifiability, and uncertainty of the prediction. The methodology is evaluated through developme...

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Projects

Projects (3)
Project
1) To create better thermal system models by uncertainty analysis 2) To analyze the uncertainty components of the thermal system model output
Project
This project has been part of the THERMCYC project of the Technical University of Denmark (DTU). Our working package focuses on the development of computational tools that support the design of working fluids for thermodynamic cycles (power cycles, heat pumps).