Bibliographic citations
Aybar, V., (2013). Control de parámetros operativos para optimizar el funcionamiento de la red principal de transporte y de distribución de Gas Natural seco del proyecto Camisea I [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/2625
Aybar, V., Control de parámetros operativos para optimizar el funcionamiento de la red principal de transporte y de distribución de Gas Natural seco del proyecto Camisea I [Tesis]. : Universidad Nacional de Ingeniería; 2013. http://hdl.handle.net/20.500.14076/2625
@mastersthesis{renati/705905,
title = "Control de parámetros operativos para optimizar el funcionamiento de la red principal de transporte y de distribución de Gas Natural seco del proyecto Camisea I",
author = "Aybar Chávez, Víctor Alfredo",
publisher = "Universidad Nacional de Ingeniería",
year = "2013"
}
Current piping systems for transportation and distribution of dry natural gas in the Camisea I project, involve the movement of millions of cubic feet of natural gas daily. Their capacity and operational reliability affect the final consumers. Their adequate operation and performance allows obtaining an efficient use of this resource. The objective of this thesis is to demonstrate that, through the control of certain operational parameters (specifically, values of pressure and flow of gas consumption in key points of the system), it's possible to get an efficient performance of the net (represented by users fuel consumption of the compressor stations). All of this, assumes free access of the users, and complying with contractual conditions among the members that conform the value chain of gas market. The methodology used consists in developing integrated mathematical models for transportation and distribution systems of dry gas, through the use of fundamental equations that govern the performance of compressible fluids inside pipes; these models included variables of operative and economic type. One of the models allows the manipulation of independent variables to calculate values of total fuel consumption, while another calculates directly optimal values of pressure and flow. As a result, it was demonstrated that it is possible to get values of pressure and demanded flow -feasible technically and normatively- that reduce fuel consumption of compression stations to the minimum, without contravening signed contracts between dealers and end users. KEYWORDS: natural gas, transportation, distribution, optimization, model, minimum costs, pressure, flux.
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