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Michel Feidt   Professor  Senior Scientist or Principal Investigator 
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Michel Feidt published an article in December 2018.
Top co-authors See all
Mohammad Ali Ahmadi

42 shared publications

Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering; Petroleum University of Technology (PUT); Ahwaz Iran

Ahmad Zeini Vand

18 shared publications

Department of Renewable Energy and Environment, Faculty of New Sciences and Technologies; University of Tehran; Tehran Iran

Camelia Stanciu

9 shared publications

Department of Engineering Thermodynamics, University POLITEHNICA of Bucharest, 060042 Bucharest, Romania

A. Dobrovicescu

4 shared publications

Université Politehnica de Bucarest, Splaiul Independentei, 313, Sect. 6, Bucureflti - Roumanie

Adel Mellit

4 shared publications

Electronics Department, Jijel University, Jijel, Algeria

46
Publications
63
Reads
8
Downloads
106
Citations
Publication Record
Distribution of Articles published per year 
(1996 - 2018)
Total number of journals
published in
 
26
 
Publications See all
Article 0 Reads 0 Citations Optimization and Entropy Production: Application to Carnot-Like Refrigeration Machines Camelia Stanciu, Michel Feidt, Monica Costea, Dorin Stanciu Published: 11 December 2018
Entropy, doi: 10.3390/e20120953
DOI See at publisher website ABS Show/hide abstract
Several optimization models of irreversible reverse cycle machines have been developed based on different optimization criteria in the literature, most of them using linear heat transfer laws at the source and sink. This raises the issue how close to actual operation conditions they are, since the heat transfer law on the phase-change processes is dependent on ΔT3. This paper addresses this issue by proposing a general model for study and optimization of thermal machines with two heat reservoirs applied to a Carnot-like refrigerator, with non-linear heat transfer laws and internal and external irreversibility. The optimization was performed using First and Second Law of Thermodynamics and the Lagrange multipliers method. Thus, several constraints were imposed to the system, also different objective functions were considered, allowing finding the optimum operating conditions, as well as the limited variation ranges of the system parameters. Results show that the nature of the heat transfer laws affects the optimum values of system parameters for obtaining maximum performances and also their magnitude. Sensitivity studies with respect to system several parameters are presented. The results contribute to the understanding of the system limits in operation under different constraints and allow choosing the most convenient variables in given circumstances.
PREPRINT 0 Reads 0 Citations Optimization and Entropy Production: Application to Carnot-Like Refrigeration Machines Camelia Stanciu, Michel Feidt, Monica Costea, Dorin Stanciu Published: 07 November 2018
doi: 10.20944/preprints201811.0173.v1
DOI See at publisher website ABS Show/hide abstract
Several optimization models of irreversible reverse cycle machines have been developed based on different optimization criteria in the literature, most of them using linear heat transfer laws at the source and sink. This raises the issue how close to actual operation conditions they are, since the heat transfer law on the phase-change processes is dependent on ΔT3. This paper addresses this issue by proposing a general model for study and optimization of thermal machines with two heat reservoirs applied to a Carnot-like refrigerator, with non-linear heat transfer laws and internal and external irreversibility. The optimization was performed using First and Second Law of Thermodynamics and Lagrange multipliers method. Thus, several constraints were imposed to the system, also different objective functions were considered, allowing finding the optimum operating conditions, as well as the limited variation ranges of the system parameters. Results show that the nature of the heat transfer laws affects the optimum values of system parameters for obtaining maximum performances and also their magnitude. Sensitivity studies with respect to system several parameters are presented. The results contribute to the understanding of the system limits in operation under different constraints and allow choosing the most convenient variables in given circumstances.
BOOK-CHAPTER 1 Read 0 Citations Production Minimization Method and Optimization of Thermomechanical Systems. Power Optimization Versus Entropy Productio... Michel Feidt Published: 05 August 2018
Modeling, Identification and Control Methods in Renewable Energy Systems, doi: 10.1007/978-3-319-62572-0_92
DOI See at publisher website
Article 0 Reads 0 Citations Process development and thermodynamic analysis of a novel power generation plant driven by geothermal energy with liquef... Mirhadi S. Sadaghiani, M.H. Ahmadi, Mehdi Mehrpooya, F. Pour... Published: 01 March 2018
Applied Thermal Engineering, doi: 10.1016/j.applthermaleng.2018.01.077
DOI See at publisher website
Article 12 Reads 2 Citations Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynam... Mohammad H. Ahmadi, Mohammad Ali Jokar, Tingzhen Ming, Miche... Published: 01 February 2018
Energy, doi: 10.1016/j.energy.2017.12.028
DOI See at publisher website
Article 4 Reads 1 Citation Thermodynamic analysis and multi-objective optimisation of endoreversible Lenoir heat engine cycle based on the thermo-e... Mohammad H. Ahmadi, Mohammad Alhuyi Nazari, Michel Feidt Published: 17 January 2018
International Journal of Ambient Energy, doi: 10.1080/01430750.2017.1423386
DOI See at publisher website
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