Name: Optimization of compressor stations
Creator: Kurz Rainer
Keywords: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 26 Nov 2019Publisher:Global Power and Propulsion SocietyJournal:Journal of the Global Power and Propulsion Society, volume 3, pages 668-674 (eissn: 2515-3080,

Authors: Kurz Rainer;

doi: 10.33737/jgpps/112399

Optimization of compressor stations

- Summary
- Metrics

Abstract

Gas turbine driven centrifugal compressors are a mainstay in the oil and gas industry for upstream and midstream applications. For an increased effort to reduce greenhouse gases, one of the most promising efforts is the increase in operational efficiency. For the applications in the oil and gas industry, the efficiency increase come from increased equipment efficiency, or from increased operational efficiency. This paper is about increasing operational efficiency. The discussion will lead from the operational characteristics of gas turbine driven compressors to the characteristics of the application, and ways in planning and operation to optimize the system.

Related Organizations

Solar Turbines
United States

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average