Parametric study of potential early commercial MHD power plants
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Parametric study of potential early commercial MHD power plants

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Published by U.S. Dept. of Energy, Office of Magnetohydrodynamics in Washington, D.C .
Written in English


  • Coal-fired power plants

Book details:

Edition Notes

StatementC.H. Marston ... [et al.]
SeriesNASA CR -- 159634, NASA contractor report -- 159634
ContributionsMarston, C. H. 1932-, Lewis Research Center, United States. Office of the Assistant Secretary for Fossil Energy
The Physical Object
Pagination345 p. in various pagings :
Number of Pages345
ID Numbers
Open LibraryOL15476602M

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A parametric study of the performance of the MHD generator and combustor components of potential early commercial open-cycle MHD/steam power plants is presented. The potential for MHD Steam Combined Cycle Power Plants with natural gas firing is calculated in terms of cost and performance. A model that was originally used for coal firing was modified for this purpose. The effect of primary design choices, including stoichiometry, air preheat temperature. The first two of the papers report on the results of the initial Parametric phase of the US effort on the Study of Potential Early Commercial (PSPEC) MHD plants. The third, fourth, and part of the first paper deal with aspects of the smaller commercial prototype plant termed the Engineering Test Facility (ETF). Coal-Fired Open-Cycle MHD Plants. Authors; Authors and affiliations D. J., Mantri, V., and Marston, C. H., , Conceptual Design Study of Potential Early Commercial MHD Power Plants, CSPEC, in 19th Symposium , Summary and evaluation of the parametric study of potential early commercial MHD power plants (PSPEC), in 7th.

Power engineering specialists are currently interested in electrical power stations with magnetohydrodynamic generators. This interest has been generated by the fact that fossil fuels are becoming increasingly costlier, and with the exploitation of remote and practically inaccessible deposits, a more rational utilisation of fuel has become necessary. The stationary energy balance is given as: (13) q r a d, l e a f − q l a t, l e a f − q s e n, l e a f = 0 where q rad,leaf [W m −2] is the radiative flux, q sen,leaf [W m −2] is the sensible heat flux and q lat,leaf [W m −2] is the latent heat flux (Boulard et al., , Bruse and Fleer, , Dauzat et al., , Hiraoka, ).Positive sensible and latent heat fluxes are defined. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the 9th International Conference on Applied Energy. 9th International Conference on Applied Energy, ICAE, August , Cardiff, UK A Parametric Study about the Potential to Integrate Phase Change Material into Photovoltaic Panel Tao Maa. Parametric Simulation of Combined Cycle Power Pant: A Case Study T. Srinivas1*, B. 2, A. V. S. S. K. S. Gupta3 1 School of Mechanical and Building Science, VIT University, Vellore – , TN, India Currently at Faculty of Engineering and Applied Sciences, UOIT, Canada as Post Doctoral Fellow.

The MHD channel analysis for the conceptual design study of potential early commerical MHD power plants has demonstrated that reasonable performance can be obtained for full- and part-load operation. 1 1 Parametric studies and optimisation of pumped thermal electricity storage 2 3 Joshua McTigue a, Alexander White a,*, and Christos N. Markides b 4 5 a Cambridge University Engineering Department, Trumpington Street, Cambridge CB2 1PZ, United Kingdom 6 b Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom 7 *8 Corresponding author. In this dissertation, parametric L-systems are presented as the foundation of a computer graphics tool for simulating and visualizing the development of plants. L-systems were introduced in by Aristid Lindenmayer as a mathematical model of multicellular organisms. . Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions (common examples of parameters are the mean and variance). Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified.