0
Research Papers: Fuel Combustion

Multi-Objective Optimization Model Development to Support Sizing Decisions for a Novel Reciprocating Steam Engine Technology

[+] Author and Article Information
J. M. Hamel

Assistant Professor
Department of Mechanical Engineering,
Seattle University,
Seattle, WA 98122
e-mail: hamelj@seattleu.edu

Devin Allphin

Senior Powertrain Engineer,
Mercedes Benz Research & Development,
Long Beach, CA 90810
e-mail: devin.allphin@daimler.com

Joshua Elroy

Department of Mechanical Engineering,
California State University,
Long Beach, CA 90840
e-mail: joshuaelroy@yahoo.com

1Corresponding author.

Contributed by the Internal Combustion Engine Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received August 17, 2017; final manuscript received January 31, 2018; published online March 29, 2018. Assoc. Editor: Esmail M. A. Mokheimer.

J. Energy Resour. Technol 140(7), 072204 (Mar 29, 2018) (10 pages) Paper No: JERT-17-1444; doi: 10.1115/1.4039611 History: Received August 17, 2017; Revised January 31, 2018

A system-level computational model of a recently patented and prototyped novel steam engine technology was developed from first principles for the express purpose of performing design optimization studies for the engine's inventors. The developed system model consists of numerous submodels including a flow model of the intake process, a dynamic model of the intake valve response, a pressure model of the engine cylinder, a kinematic model of the engine piston, and an output model that determines engine performance parameters. A crank-angle discretization strategy was employed to capture the performance of engine throughout a full cycle of operation, thus requiring all engine design submodels to be evaluated at each crank angle of interest. To produce a system model with sufficient computational speed to be useful within optimization algorithms, which must exercise the system level model repeatedly, various simplifying assumptions and modeling approximations were utilized. The model was tested by performing a series of multi-objective design optimization case studies using the geometry and operating conditions of the prototype engine as a baseline. The results produced were determined to properly capture the fundamental behavior of the engine as observed in the operation of the prototype and demonstrated that the design of engine technology could be improved over the baseline using the developed computational model. Furthermore, the results of this study demonstrate the applicability of using a multi-objective optimization-driven approach to conduct conceptual design efforts for various engine system technologies.

Copyright © 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Park, S. , 2012, “ Optimization of Combustion Chamber Geometry and Engine Operating Conditions for Compression Ignition Engines Fueled With Dimethyl Ether,” Fuel, 97, pp. 61–71. [CrossRef]
Curto-Risso, P. L. , Medina, A. , and Hernandez, A. C. , 2011, “ Optimizing the Geometrical Parameters of a Spark Ignition Engine: Simulation and Theoretical Tools,” Appl. Therm. Eng., 31(5), pp. 803–810. [CrossRef]
D'Errico, G. , Cerri, T. , and Pertusi, G. , 2011, “ Multi-Objective Optimization of Internal Combustion Engine by Means of 1D Fluid-Dynamic Models,” Appl. Energy, 88(3), pp. 767–777. [CrossRef]
Wahlstrom, J. , and Eriksson, L. , 2011, “ Modelling Diesel Engines With a Variable-Geometry Turbocharger and Exhaust Gas Recirculation by Optimization of Model Parameters for Capturing Non-Linear System Dynamics,” Proc. Inst. Mech. Eng. Part D, 255(7), pp. 960–986. [CrossRef]
Pastor, J. , and Liu, Y. , 2014, “ Power Absorption Modeling and Optimization of a Point Absorbing Wave Energy Converter Using Numerical Method,” ASME J. Energy Resour. Technol., 136(2), p. 021207. [CrossRef]
DuPont, B. , Azam, R. , Proper, S. , Cotilla-Sanchez, E. , Hoyle, C. , Piacenza, J. , Oryshchyn, D. , Zitney, S. E. , and Bossart, S. , 2016, “ An Optimization Framework for Decision Making in Large, Collaborative Energy Supply Systems,” ASME J. Energy Resour. Technol., 138(5), p. 051601. [CrossRef]
Castellanos, L. , Caballero, G. , Cobas, V. , Lora, E. , Martin, A. , and Reyes, M. , 2017, “ Mathematical Modeling of the Geometrical Sizing and Thermal Performance of a Dish/Stirling System for Power Generation,” Renewable Energy, 107, pp. 23–35. [CrossRef]
Campos, M. C. , Vargas, J. V. C. , and Ordonez, J. C. , 2012, “ Thermodynamic Optimization of a Stirling Engine,” Energy, 44(1), pp. 902–910. [CrossRef]
Formosa, F. , and Despesse, G. , 2010, “ Analytical Model for Stirling Cycle Machine Design,” Energy Convers. Manage., 51(10), pp. 1855–1863. [CrossRef]
Zhao, J. , Xu, M. , Li, M. , Wang, B. , and Liu, S. , 2012, “ Design and Optimization of an Atkinson Cycle Engine With the Artificial Neural Network Method,” Appl. Energy, 92, pp. 492–502. [CrossRef]
Dong, G. , Morgan, R. E. , and Heikal, M. R. , 2016, “ Thermodynamic Analysis and System Design of a Novel Split Cycle Engine Concept,” Energy, 102, pp. 576–585. [CrossRef]
Sobieszczanski-Sobieski, J. , and Venter, G. , 2005, “ Imparting Desired Attributes in Structural Design by Means of Multi-Objective Optimization,” Struct. Multidiscip. Optim., 29(6), pp. 432–444. [CrossRef]
El-Emam, R. S. , and Dincer, I. , 2016, “ Assessment and Evolutionary Based Multi-Objective Optimization of a Novel Renewable-Based Polygeneration Energy System,” ASME J. Energy Resour. Technol., 139(1), p. 012003. [CrossRef]
Bennett, C. , Sewall, N. , and Boroa, C. , 2014, “Harmonic Engine,” Lawrence Livermore National Security LLC, Livermore, CA, U.S. Patent No. 8,807,012 B1.
Terrell, C. , ed., 1922, Steam-Engine Principles and Practice, McGraw-Hill, New York.
Gogoi, T. K. , and Baruah, D. C. , 2010, “ A Cycle Simulation Model for Predicting the Performance of a Diesel Engine Fuelled by Diesel and Biodiesel Blends,” Energy, 35(3), pp. 1317–1323. [CrossRef]
Allphin, D. , and Hamel, J. , 2014, “ A Parallel Offline CFD and Closed-Form Approximation Strategy for Computationally Efficient Analysis of Complex Fluid Flows,” ASME Paper No. IMECE2014-38691.
Martin, J. D. , and Simpson, T. W. , 2005, “ Use of Kriging Models to Approximate Deterministic Computer Models,” AIAA J., 43(4), pp. 853–863. [CrossRef]
Arora, J. S. , 2004, Introduction to Optimum Design, 2nd ed., Elsevier Academic Press, San Diego, CA.
Miettinen, K. , 1999, Nonlinear Multi-Objective Optimization, Kluwer Academic Publishers, Norwell, MA.
Deb, K. , 2001, Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, New York.
Ozcan, H. , and Yamin, J. A. A. , 2008, “ Performance and Emission Characteristics of LPG Powered Four Stroke SI Engine Under Variable Stroke Length and Compression Ratio,” Energy Convers. Manage., 49(5), pp. 1193–1201. [CrossRef]
Hamel, J. M. , Allphin, D. , and Elroy, J. , 2014, “ Model Development and Design Optimization of a Novel Reciprocating Engine Technology,” ASME Paper No. IMECE2014-38696.

Figures

Grahic Jump Location
Fig. 1

Harmonic steam engine

Grahic Jump Location
Fig. 3

Engine P–V diagram

Grahic Jump Location
Fig. 4

Engine simulation process

Grahic Jump Location
Fig. 5

Intake valve layout

Grahic Jump Location
Fig. 6

Intake valve sample CFD model [17]

Grahic Jump Location
Fig. 7

Intake valve flow region [17]

Grahic Jump Location
Fig. 8

Intake valve analytic flow model [17]

Grahic Jump Location
Fig. 9

General optimization model

Grahic Jump Location
Fig. 10

Multi-objective optimization example

Grahic Jump Location
Fig. 11

Engine optimization model

Grahic Jump Location
Fig. 12

Sample engine model P–V diagram

Grahic Jump Location
Fig. 13

Sample engine model results

Grahic Jump Location
Fig. 14

Engine optimization study results

Grahic Jump Location
Fig. 15

Engine optimization study scatter plot

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In