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Cleaning versus replacement in power plant air preheaters: a comparison between deterministic and stochastic goal programming models
Author(s) -
Ballestero Enrique,
Gonzalez Ignacio
Publication year - 2003
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.367
Subject(s) - satisficing , air preheater , mathematical optimization , power station , operations research , stochastic programming , power (physics) , goal programming , computer science , integer programming , reliability engineering , engineering , mathematics , waste management , artificial intelligence , electrical engineering , physics , quantum mechanics
Power plants lose efficiency when the air preheater elements are not replaced or cleaned as they deteriorate. Replacing is more expensive than cleaning but more secure to preserve power and lifetime. How many baskets should be then replaced and how many cleaned to achieve ‘satisficing’ goals of cost, power and lifetime? We design deterministic/stochastic goal programming approaches to this problem and develop a decision case for usual preheaters. Some discrepancies in results between both approaches appear, the deterministic model advising to replace less baskets than the stochastic, which is plausible due to the risk variable. Copyright © 2005 John Wiley & Sons, Ltd.