Quality Engineering Procedures Applied to Determine the Weight of Influence of Factors on Microtrigeneration Systems (MCCHP)
Abstract
Microtrigeneration systems are characterized by simultaneous generation of power, heat and cold for small applications (<50 kW) and are designed for reducing GHG and other emission degreases. The cooling generation by absorption or adsorptions of heat is the most sensible stage of mCCHP systems.The paper si based on the global mathematical model for a mCCHP system with thermal prime mover. The conceptual design of an mCCHP and was estabilished the influenece factors over the global efficiency of the system. The weight of influence factors was made using a Quality Engineering procedure (typised orthogonal array. An adequate mathematic model (ANOVA) was used for weight of factor influence prediction, with a view to global efficiency maximization. The simulation results showing signal and noise factors and these results are important for system design, selection of subsystem, selection of materials and optimal regime settings.
Downloads
References
[2]. Petchers N, Combined Heating, Cooling & Power Handbook Technologies & Applications - An Integrated Approach to En,The Fairmont Press, 2003.
[3]. John R. Fanchi, Energy Technology and Directions for the Future, Elsevier, 2004.
[4]. Borbely A, Kreider J. Distributed Generation - Power Paradigm for the New Millennium, CRC Press, 2001.
[5]. Bernard R Kolanowski, Small-Scale Cogeneration Handbook Second Edition, The Fairmont Press, 2003.
[6]. Fryda L, Panopoulos K.D, Kakaras E, Integrated CHP with autothermal biomass gasification, Science Direct, Energy Conversion and Management 49 (2008) 281-290.
[7]. Knight I, Ugursal I, Residential Cogeneration Systems A review of The Current Technologies (Annex 42 of the International Energy Agency, 2005).
[8]. Kreith F, Goswami D.Y, Handbook Of Energy Efficiency And Renewable Energy, 2007 by Taylor & Francis Group, LLC.
[9]. Kim D.S. and Ferreira C.A.I, Delft University Of Technology, Faculty of Design, Construction and Production, Mechanical Engineering and Marine.
