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Synthesis of mechanical driver and power generation configurations, Part 1: Optimization framework
Author(s) -
Del Nogal Frank L.,
Kim JinKuk,
Perry Simon,
Smith Robin
Publication year - 2010
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.12141
Subject(s) - steam turbine , process engineering , capital cost , engineering , process (computing) , process integration , gas turbines , steam electric power station , turbine , power (physics) , combined cycle , power station , mechanical engineering , control engineering , automotive engineering , computer science , electrical engineering , physics , quantum mechanics , operating system
This article presents a novel, systematic, and robust procedure for driver and power plant selection based on mathematical programming. The discrete nature of gas turbines is considered as gas turbine drivers and gas turbine‐based power plants are selected from a group of candidates. Plant availability with considering parallel compression has also been included, which allows a more comprehensive exploitation of the trade‐offs between capital costs, operating costs, and availability. When neglecting process heating and any steam equipment, the formulation can be applied to heavily power dominated processes, such as LNG. However, a more comprehensive formulation, allowing waste heat recovery and the integration with a multilevel steam system, is also proposed to produce more thermally efficient systems. This approach proved to be flexible and robust and is the first in producing solutions ranging from no‐steam to all‐steam systems, including all‐gas turbine, all‐motor and hybrid gas turbine/motor/steam systems. © 2010 American Institute of Chemical Engineers AIChE J, 2010