By a News Reporter-Staff News Editor at Journal of Engineering -- Researchers detail new data in Chemical Engineering. According to news reporting originating in Albuquerque, New Mexico, by VerticalNews journalists, research stated, "We present a novel software framework for modeling large-scale engineered systems as mathematical optimization problems. A key motivating feature in such systems is their hierarchical, highly structured topology."
The news reporters obtained a quote from the research from Sandia National Laboratories, "Existing mathematical optimization modeling environments do not facilitate the natural expression and manipulation of hierarchically structured systems. Rather, the modeler is forced to 'flatten' the system description, hiding structure that may be exploited by solvers, and obfuscating the system that the modeling environment is attempting to represent. To correct this deficiency, we propose a Python-based 'block-oriented' modeling approach for representing the discrete components within the system. Our approach is an extension of the Pyomo library for specifying mathematical optimization problems. Through the use of a modeling components library, the block-oriented approach facilitates a clean separation of system superstructure from the details of individual components. This approach also naturally lends itself to expressing design and operational decisions as disjunctive expressions over the component blocks. By expressing a mathematical optimization problem in a block-oriented manner, inherent structure (e.g., multiple scenarios) is preserved for potential exploitation by solvers. In particular, we show that block-structured mathematical optimization problems can be straightforwardly manipulated by decomposition-based multi-scenario algorithmic strategies, specifically in the context of the PySP stochastic programming library. We illustrate our block-oriented modeling approach using a case study drawn from the electricity grid operations domain: unit commitment with transmission switching and N - 1 reliability constraints."
According to the news reporters, the research concluded: "Finally, we demonstrate that the overhead associated with block-oriented modeling only minimally increases model instantiation times, and need not adversely impact solver behavior."
For more information on this research see: Block-oriented modeling of superstructure optimization problems. Computers & Chemical Engineering, 2013;57():10-23. Computers & Chemical Engineering can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Computers & Chemical Engineering - www.elsevier.com/wps/product/cws_home/349)
Our news correspondents report that additional information may be obtained by contacting Z. Friedman, Sandia Natl Labs, Discrete Math & Complex Syst Department, Albuquerque, NM 87185, United States. Additional authors for this research include J. Ingalls, J.D. Siirola and J.P. Watson.
Keywords for this news article include: New Mexico, Albuquerque, United States, Chemical Engineering, North and Central America
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