DocumentCode :
1756208
Title :
Pipeline Energy Consumption Optimization: A Novel Power Optimization Utility Software
Author :
Hazel, Terence ; Ford, Merryl ; Stanley, Galen ; Collins, Thomas
Author_Institution :
PM/P&EC, Schneider Electr. France, Grenoble, France
Volume :
20
Issue :
4
fYear :
2014
fDate :
July-Aug. 2014
Firstpage :
66
Lastpage :
76
Abstract :
Today pipeline operators are required to balance operational efficiency, financial performance, and long-term sustainability. Transporting hydrocarbons efficiently and safely is a demanding task, and energy consumption is one of the major operating costs and sources of emissions. New applications based on pipeline simulation can contribute to reducing energy costs and optimizing operations while continuing to achieve the required delivery schedules within the safety and operating margins. This simulation-based approach considers the different energy costs across the pipeline pump/compressor stations, utility contracts, pump/compressor efficiency, and the costs and benefits of using drag-reducing agents (DRAs). It is a valuable tool that allows energy managers and pipeline operators to optimize energy costs. It can be seamlessly integrated into the supervisory control and data acquisition (SCADA) infrastructure, which provides the realtime views and reporting of all energy and process variables, including the cost savings achieved. The SCADA system monitors and controls one or more complete pipelines used for transporting liquid or gas products from one location to another. Each pipeline may be very long and may have several branches.
Keywords :
SCADA systems; compressors; pipelines; power engineering computing; pumps; DRA; SCADA; compressor efficiency; cost savings; drag-reducing agents; hydrocarbon transport; operating margins; pipeline energy consumption optimization; pipeline pump-compressor stations; pipeline simulation; power optimization utility software; safety margins; supervisory control and data acquisition; Costing; Data models; Economics; Energy consumption; Mathematical model; Optimization; Petroleum industry; Pipelines; SCADA systems;
fLanguage :
English
Journal_Title :
Industry Applications Magazine, IEEE
Publisher :
ieee
ISSN :
1077-2618
Type :
jour
DOI :
10.1109/MIAS.2013.2288402
Filename :
6804655
Link To Document :
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