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contributor authorAnthony J. Smalley
contributor authorDaniel I. Ash
contributor authorSam L. Clowney
contributor authorGeorge P. Pappas
contributor authorDavid A. Mauney
date accessioned2017-05-09T00:02:22Z
date available2017-05-09T00:02:22Z
date copyrightJuly, 2000
date issued2000
identifier issn1528-8919
identifier otherJETPEZ-26797#462_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123667
description abstractThis paper evaluates and demonstrates how the public domain data provided by individual interstate pipeline companies to FERC, when combined with individual company equipment lists, can be used to regress industry information on cost of operations and maintenance, fuel gas used, and cost of fuel and power. The paper describes the methods of analysis and identifies their limitations. The paper presents results of such regression analysis as average and variance of cost and fuel usage for industrial gas turbines and aeroderivative gas turbines. It provides further comparisons between gas turbine prime movers, reciprocating engine prime movers, and electric motor drives, and presents annual costs per installed horsepower as a function of turbine size. The paper is based on work performed for PRC International and the Gas Research Institute. [S0742-4795(00)01003-6]
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluation and Application of Data Sources for Assessing Operating Costs for Mechanical Drive Gas Turbines in Pipeline Service
typeJournal Paper
journal volume122
journal issue3
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.1287034
journal fristpage462
journal lastpage465
identifier eissn0742-4795
keywordsMechanical drives
keywordsMaintenance
keywordsFuels
keywordsGas turbines
keywordsPipelines
keywordsHorsepower
keywordsCompressors
keywordsTurbines
keywordsRegression analysis
keywordsErrors
keywordsDatabases
keywordsElectric motors AND Industrial gases
treeJournal of Engineering for Gas Turbines and Power:;2000:;volume( 122 ):;issue: 003
contenttypeFulltext


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