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Scheduling of major investments for a steam-generating unit using a stochastic model / Sakowicz, B. in IEEE transactions on energy conversion, Vol. 25, N° 3 (Septembre 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 708 - 714 Titre : Scheduling of major investments for a steam-generating unit using a stochastic model Type de document : texte imprimé Auteurs : Sakowicz, B., Auteur ; Stopczyk, M., Auteur ; Anders, G. J., Auteur Année de publication : 2011 Article en page(s) : pp. 708 - 714 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Internet;  Monte  Carlo  methods;  maintenance  engineering;  power  engineering  computing;  power  generation  economics;  steam  power  stations Résumé : This paper compares and analyzes the economics of alternative maintenance plans for generating stations. The usual life-cycle investment decisions for power plant equipment involve definition of alternative scenarios with specified refurbishment dates. The aim of the paper is to present a method for the selection of optimal investment dates that minimizes the life-cycle cost of the analyzed equipment. The system is introduced as a distributed web-based software application. The methodology based on combining evolutionary programming with Monte Carlo simulations is described and illustrated by a numerical example involving analysis of the optimal timing of new investments for refurbishment of a large generator at a thermal-generating plant. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5523923&sortType%3Das [...] [article] Scheduling of major investments for a steam-generating unit using a stochastic model [texte imprimé] / Sakowicz, B., Auteur ; Stopczyk, M., Auteur ; Anders, G. J., Auteur . - 2011 . - pp. 708 - 714. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 708 - 714 Mots-clés : Internet;  Monte  Carlo  methods;  maintenance  engineering;  power  engineering  computing;  power  generation  economics;  steam  power  stations Résumé : This paper compares and analyzes the economics of alternative maintenance plans for generating stations. The usual life-cycle investment decisions for power plant equipment involve definition of alternative scenarios with specified refurbishment dates. The aim of the paper is to present a method for the selection of optimal investment dates that minimizes the life-cycle cost of the analyzed equipment. The system is introduced as a distributed web-based software application. The methodology based on combining evolutionary programming with Monte Carlo simulations is described and illustrated by a numerical example involving analysis of the optimal timing of new investments for refurbishment of a large generator at a thermal-generating plant. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5523923&sortType%3Das [...]