Power Generation Performance of 100kW-Class MCFC Stack.
نویسندگان
چکیده
منابع مشابه
Performance Modeling of Power Generation System of a Thermal Plant
The present paper discusses the development of a performance model of power generation system of a thermal plant for performance evaluation using Markov technique and probabilistic approach. The study covers two areas: development of a predictive model and evaluation of performance with the help of developed model. The present system of thermal plant under study consists of four subsystems with...
متن کاملOn the Catalytic Combustion Behaviors of CH4 in a MCFC Power Generation System
Catalytic combustion is generally accepted as an environmentally preferred alternative for the generation of heat and power from fossil fuels mainly due to its advantages related to the stable combustion under very lean conditions with low emissions of NOx, CO, and UHC at temperatures lower than those occurred in conventional flame combustion. Despite these advantages, the commercial applicatio...
متن کاملclass STACK ( T ) is { { Implementation of STACK
Embedded speciications in object-oriented (OO) languages such as Eiiel and Sather are based on a rigorous approach towards validation, compatibility and reusability of sequential programs. The underlying method of \design-by-contract" is based on Hoare logic for which concurrency extensions exist. However concurrent OO languages are still in their infancy. They have inherently imperative facets...
متن کاملPerformance Analysis of a MCFC/MGT Hybrid Power System Bi-Fueled by City Gas and Biogas
This study evaluates the performance of a molten carbonate fuel cell and micro gas turbine (MCFC/MGT) hybrid power system bi-fueled by city gas and biogas. The performance of the MCFC/MGT hybrid power system and MFCF/MGT hybrid power system response have been investigated experimentally and numerically. Results show that the MCFC, steam reformer, and catalytic combustor models are in agreement ...
متن کاملNonlinear modeling of MCFC stack based on RBF neural networks identification
Modelling Molten Carbonate Fuel Cells (MCFC) is very difficult and the existing models are too complicated to be used for controlling design, especially for on-line control design. This paper presents the application of neural networks identification method to develop the nonlinear temperature model of MCFC stack. The hidden layer units of the neural networks consist of a set of nonlinear radia...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B
سال: 1995
ISSN: 0387-5016,1884-8346
DOI: 10.1299/kikaib.61.4477