A volume element model (VEM) for energy systems engineering

SUMMARY This work presents a simplified modeling and simulation approach for energy systems engineering that is capable of providing quick and accurate responses during system design. For that, the laws of conservation are combined with available empirical and theoretical correlations to quantify the diverse types of flows that cross the system and produce a simplified tridimensional mathematical model, namely a volume element model (VEM). The physical domain of interest is discretized in space, thus producing a system of algebraic and ODEs with respect to time, whose solution delivers the project variables spatial distribution and dynamic response. In order to illustrate the application of the VEM in energy systems engineering, three example problems are considered: (i) a regenerative heat exchanger; (ii) a power electronic building block (PEBB); and (iii) a notional all-electric ship. The same mathematical model was used to analyze problems (ii) and (iii), that is, the thermal management of heat-generating equipment packaging. In the examples, the converged mesh had a total of 20, 2000, and 7725 volume elements. The third problem led to the largest simulation, which for steady-state cases took between 5 and 10 min of computational time to reach convergence and for the ship dynamic response 50 min (i.e., 80,000 s of real time). The regenerative heat exchanger model demonstrated how VEM allowed for the coexistence of different phases (subsystems) within the same volume element. The thermal management model was adjusted and experimentally validated for the PEBB system, and it was possible to perform a parametric and dynamic analysis of the PEBB and of the notional all-electric ship. Therefore, because of the observed combination of accuracy and low computational time, it is expected that the model could be used as an efficient tool for design, control, and optimization in energy systems engineering. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  A. D. Hall,et al.  A Methodology for Systems Engineering , 1962 .

[2]  P. Lall,et al.  Prognostics and Health Management of Electronic Packaging , 2006, IEEE Transactions on Components and Packaging Technologies.

[3]  Bahgat Sammakia,et al.  A Compact Thermal Model for Data Center Analysis using the Zonal Method , 2013 .

[4]  A. London,et al.  Compact heat exchangers , 1960 .

[5]  E. Sparrow,et al.  Handbook of Numerical Heat Transfer , 1988 .

[6]  J. V. C. Vargas,et al.  A Numerical Model to Predict the Thermal and Psychrometric Response of Electronic Packages , 2001 .

[7]  Benjamin Shapiro,et al.  Creating compact models of complex electronic systems: an overview and suggested use of existing model reduction and experimental system identification tools , 2003 .

[8]  C. Chryssostomidis,et al.  The experimental validation of a transient power electronic building block (PEBB) mathematical model , 2013 .

[9]  Anthony Primavera,et al.  The reliability prediction of electronic packages – an expert systems approach , 2005 .

[10]  Juan C. Ordonez,et al.  Thermodynamic optimization of a regenerator heat exchanger , 2012 .

[11]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[12]  S. Churchill,et al.  Correlating equations for laminar and turbulent free convection from a vertical plate , 1975 .

[13]  Yi Jiang,et al.  A new approach on zonal modeling of indoor environment with mechanical ventilation , 2008 .

[14]  Julie Chalfant,et al.  Notional all-electric ship systems integration thermal simulation and visualization , 2012, Simul..

[15]  Kent L. Lawrence,et al.  Modeling and simulation of dynamic systems , 1997 .

[16]  Yosr Boukhris,et al.  Simulating Air Flow, with a Zonal Model, for Natural Convection , 2008 .

[17]  Ping Yang,et al.  Testing on dynamic behavior of PBGA assembly by considering fixed‐modes , 2011 .

[18]  Paolo Emilio Bagnoli,et al.  A Thermomechanical Solver for Multilayer Power Electronic Assemblies Integrated Into the DJOSER Thermal Simulator , 2011 .

[19]  Eric Honour INCOSE: History of the International Council on Systems Engineering , 1998 .

[20]  Nadia Ghrab-Morcos,et al.  Modeling coupled heat transfer and air flow in a partitioned building with a zonal model: Application to the winter thermal comfort , 2009 .

[21]  Kenneth L. Kaiser,et al.  Electromagnetic compatibility handbook , 2004 .

[22]  A. Bejan Convection Heat Transfer , 1984 .

[23]  R. Hovsapian,et al.  Modeling and Simulation of the Thermal and Psychrometric Transient Response of All-Electric Ships, Internal Compartments and Cabinets , 2007, SCSC.

[24]  A. Bejan Advanced Engineering Thermodynamics , 1988 .

[25]  R. Hovsapian,et al.  Notional all-electric ship thermal simulation and visualization , 2009, 2009 IEEE Electric Ship Technologies Symposium.