Mathematical programming techniques for designing minimum cost pipeline networks for co2 sequestration

Abstract

Publisher Summary This chapter describes a mathematical model for a pipeline infrastructure for CO2 sequestration and utilizes various mathematical programming techniques to find minimum cost strategies for building and operating this pipeline network. The greenhouse gas emissions from direct combustion of fuels can be greatly reduced if they are replaced with hydrogen produced from fossil sources, and if hydrogen production is coupled with capture and secure sequestration of the resulting CO2 at storage sites such as aquifers and depleted hydrocarbon reservoirs. The transportation of CO2 from fossil hydrogen plants to sequestration sites can be accomplished via a pipeline network. The design of this pipeline is an important aspect of the overall energy network. It has been proposed that the CO2 produced at sources such as fossil energy conversion facilities and industrial process plants could be captured, compressed to supercritical pressures, transported via pipelines, and stored in underground geologic formations such as depleted oil and natural gas reservoirs and deep saline aquifers. A nonlinear model of the CO2 pipeline system is described, with appropriate constraints, and the lowest cost system is found using a state-of-the-art nonlinear optimization software called LOQO. The chapter also presents ways to model the behavior of the system over time, and to model the impact of uncertainties.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/b978-008044276-1/50100-8

• http://www.pages.drexel.edu/~hvb22/BensonGHGT6Paper3.pdf

• http://www.pages.drexel.edu/~hvb22/BensonGHGT6Paper3.pdf,

https://www.sciencedirect.com/science/article/pii/B9780080442761501008,

https://www.scipedia.com/public/BENSON_OGDEN_2007a,

https://academic.microsoft.com/#/detail/78424111