Integrated framework for the design of pipeline systems using stochastic optimisation and GIS tools |
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Authors: | Eftychia C. Marcoulaki Ioannis A. Papazoglou Nathalie Pixopoulou |
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Affiliation: | 1. System Reliability and Industrial Safety Laboratory (SRISL), National Centre for Scientific Research “Demokritos”, PO Box 60228, Athens 15310, Greece;2. Penspen Limited, 405 Messogeion Avenue, Athens 15343, Greece |
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Abstract: | This work presents an optimisation framework for the routing and equipment design of main pipelines to be used for fluid transmission. There are many considerations in these design problems, involving various constraints, decisions and the associated costs for the construction, operation, maintenance, etc., of the system. In practice, engineers rely on experience, try out various design alternatives, and use simulators for engineering calculations, cost models, geographical information systems and equipment databases to identify promising options. The present approach proposes a systematic search for optimal and near-optimal solutions. The search is based on stochastic optimisation, and assumes that the same information and simulation tools as in the case of design by trial and error are available. An application example is used to demonstrate the approach and test the robustness of the optimal search using Simulated Annealing. |
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Keywords: | ASME, American Society of Mechanical Engineers GIS, geographical information system PCD, pressure control device SA, Simulated Annealing SRISL, System Reliability and Industrial Safety Laboratory USD, United States Dollar |
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