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By Georgios M. Kopanos, Pei Liu, Michael C. Georgiadis

This publication presents a systematic framework for built-in options to complicated power difficulties. It adopts a holistic, systems-based method of display the possibility of an power platforms engineering method of systematically quantify various concepts at a number of degrees of complexity (technology, plant, strength offer chain, mega-system). using modeling, simulation and optimization-based frameworks, in addition to a couple of real-life purposes, it specializes in complicated power platforms together with strength provide chains, built-in biorefineries, power making plans and scheduling techniques and concrete strength systems.

Featuring contributions from major researchers within the box, this paintings turns out to be useful for lecturers, researchers, practitioners in strength structures engineering, and all those people who are desirous about model-based strength systems.

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From the results of this work, the importance of NGLs to the economics of the project is identified especially considering the low natural gas price. In addition, the optimal drilling and fracturing scheduling could maximize the utilization of processing and transportation infrastructure, thus significantly improving the overall economics and energy/resource efficiency. In spite of the optimistic forecast of shale gas development, a recent report unveils the fact that the actual profitability of a shale well can be significantly affected by various uncertainties, especially uncertainty of EUR (Hughes 2014).

The first problem mainly focuses on the water acquisition stage, and the goal is to find the optimal water acquisition 32 J. Gao et al. strategy regarding different water sources. The uninterruptible sources are available throughout the year but require expensive truck transportation. The interruptible sources can be transported by pipeline with lower cost but are affected by seasonal availability. Storage option is also taken into account to coordinate water acquisition and demand. The objective is defined as minimizing the expected trucking and pumping cost of the water required to complete all the well sites.

Furthermore, they explore the integration of shale gas supply with local natural-gas power generation. A large-scale mixed-integer linear program (MILP) is proposed, and the results 2 Shale Gas Process and Supply Chain Optimization 27 indicate a potential increase of profit for shale gas operators by improving well scheduling (Knudsen et al. 2014). The first mathematical model addressing the long-term strategic planning and design of the shale gas supply chain is proposed by Cafaro and Grossmann (2014).

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