Modelling and Optimization Issues of the Energy Systems of the Future
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In an exemplary polygeneration energy system for integrated production of methanol and electricity, coal or other carbon-based fuels are fed to a gasifier, where they react with oxygen to produce synthesis gas. Part of it is fed to a chemical synthesis plant to produce methanol, which can be either sold, stored in the plant for peak-time power generation, or transported to other power plants for peak-time power generation. Polygeneration energy systems have many advantages over conventional standalone power generation or chemical synthesis technologies, e.g., higher energy conversion efficiency, lower emissions and lower capital investment. A discussion covers the state-of-the-art in the area of polygeneration systems; major research challenges related to the synthesis and design of polygeneration energy system and a general mathematical programming approaches to addresses these challenges in a systematic way; generalmodel for facilitating strategic decisions in the development progress of polygeneration energy systems; mixed-integer nonlinear programming (MINLP) models for the design optimization of polygeneration energy systems; and a case study, involving a coal-based polygeneration plant producing electricity and methanol, demonstrating the key features and applicability of the proposed approach. This is an abstract of a paper presented at the 19th International Congress of Chemical and Process Engineering and 7th European Congress of Chemical Engineering (Prague, Czech Republic 8/28/2010-9/1/2010).