Process Systems Engineering

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This volume presents an in depth account of recent novel theoretical and algorithmic developments for different types of multi-parametric programming problems, as well as describes a number of versatile engineering applications in areas, such as design and optimization under uncertainty, energy and environmental analysis, multi-criteria optimization and model based control (which is the subject of volume 2 of this series). Multi-parametric programming provides optimization based tools to systematically analyse the effect of uncertainty and variability in mathematical programming problems, which involved a linear, nonlinear or mixed continuous and integer mathematical model, an objective function, a set of contraints, and in which a number of parameters in the model vary between lower and upper bounds. The aimis to obtain explicit analytical, exact or approximate, expressions of the objective function and the optimization variables as a function of these parameters, and the regions in the space of the parameters where these expressions are valid. The book is intended for academics, researchers, optimization and control practitioners, who are involved in model based activities in the presence of uncertainty, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry. The Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management of complexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required.