The experimental validation of a transient power electronic building block (PEBB) mathematical model

Dilay, E.; Vargas, J.V.C.; Ordóñez, Juan C.; Yang, Sam; Schrattenecker, R.; Coleman, Michael; Chiocchio, T.; Chalfant, Julie; Chryssostomidis, Chryssostomos

doi:10.1016/j.applthermaleng.2013.07.005

Cited by 10 publications

(11 citation statements)

References 13 publications

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“…In the experimental results, the uncertainties were calculated according to the largest observed value for U T /T during the transient‐state to steady‐state evolution of the measurements, which was used to draw the error bars shown in all experimental points for consistency, as described by Dilay et al . .…”

Section: Resultsmentioning

confidence: 99%

“…In order to investigate more deeply the accuracy of the numerical predictions of the adjusted model in comparison with the collected experimental data for the PEBB 11.12-kW setting, Figure 13 provides simulation and experimental results for the average temperatures of two components that generate heat in the system, that is, a set of thyristors/fins and inductor. In the experimental results, the uncertainties were calculated according to the largest observed value for U T /T during the transient-state to steady-state evolution of the measurements, which was used to draw the error bars shown in all experimental points for consistency, as described by Dilay et al [16]. Figure 13a shows that the simulated temperature curves lie within the error bars for the steady state and evolve at a higher rate during the transient state for the thyristors/fins set, but mostly remaining within the margin of error.…”

Section: Experimental Validation Of the Pebb Modelmentioning

confidence: 99%

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A volume element model (VEM) for energy systems engineering

Dilay

Vargas

Souza

et al. 2014

Int. J. Energy Res.

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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.

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Section: Resultsmentioning

confidence: 99%

Section: Experimental Validation Of the Pebb Modelmentioning

confidence: 99%

A volume element model (VEM) for energy systems engineering

Dilay

Vargas

Souza

et al. 2014

Int. J. Energy Res.

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“…In order to handle these specialcase intersections, the algorithm proposed in this paper applies the convention presented in [32], where for an edge to count as a crossing of a ray, one of the edge's endpoints must be strictly above the ray, and the other endpoint on or below. Based on this convection, edges (4,5) and (3,4) are not crossings while edges (6, 7), (11,12), and (12, 13) do count as crossings. Therefore q 3 is determined to lie inside the polygon.…”

Section: Final Mesh Generation Via Search and Intersectionmentioning

confidence: 99%

“…were constructed without thickness and the nodes were re-positioned by mesh smoothing to improve the shape. Accurate geometric representation, however, do not necessarily guarantee highly accurate numerical solutions, and such an effort often retards the mesh generation time without significant improvement in the solution accuracy, e.g., system-level simulations [1,5].…”

Section: All-electric Ship Meshmentioning

confidence: 99%

“…The resulting system of nonlinear ordinary differential equations (ODEs) with respect to time are solved using an appropriate numerical method according to the problem under consideration. Previously, the scheme has been employed to study thermal responses of several dynamic systems [1,3,4], and it has been experimentally validated using Power Electronic Building Blocks [5] and an Off-Grid Zero Emissions Building [6].…”

Section: Introductionmentioning

confidence: 99%

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Volume element model mesh generation strategy and its application in ship thermal analysis

Yang

Dilay

Ordóñez

et al. 2015

Advances in Engineering Software

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This paper introduces a mesh generation strategy devised and implemented for the volume element model (VEM), and elaborates key contributions of the strategy in enhancing the VEM as a prominent tool in ship thermal modeling and simulation. The VEM mesh generation strategy employs ray crossings and ray-triangle intersection algorithms developed in previous studies, and constructs sufficiently accurate geometric representations of the whole ship within permissible time frame using hexahedral meshes. In addition, this work demonstrates the strategy's practicality in thermal analysis of a notional all-electric ship, which is characterized by intricate structures and multiple internal components, i.e., thermal loads. Ship thermal solutions obtained in this assessment verify the proposed mesh generation strategy's ability to improve the overall computational efficiency of the VEM, by allowing it to obtain plausible thermal solutions with respect to time and space using a coarse independent mesh.

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Mathematical formulation and demonstration of a dynamic system-level ship thermal management tool

Yang

Ordóñez

Vargas

et al. 2016

Advances in Engineering Software

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This paper presents the mathematical formulation and unique capability of a system-level ship thermal management tool, vemESRDC, developed to provide quick ship thermal responses in early design stages. The physical model combines principles of classical thermodynamics and heat transfer, along with appropriate empirical correlations to simplify the model and expedite the compu-* Corresponding author.

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The experimental validation of a transient power electronic building block (PEBB) mathematical model

Cited by 10 publications

References 13 publications

A volume element model (VEM) for energy systems engineering

A volume element model (VEM) for energy systems engineering

Volume element model mesh generation strategy and its application in ship thermal analysis

Mathematical formulation and demonstration of a dynamic system-level ship thermal management tool

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