FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2025245019> ?p ?o ?g. }

• W2025245019 abstract "For a 500 MW unit, a 1 % reduction in boiler efficiency equates to a coal cost in the order of $ 1/2 million/annum, while a 5 % unit derate, needed to meet emission compliance, can equate to an annual revenue loss of up to $ 12 million. Many software products are in use, which based on the present plant performance, identify and optimize the operational parameters for the best plant capacity, utilization and efficiency. While they are effective in tuning up the unit, they are applied to an operating plant firing a given coal for the given performance. But what if there were a means of predicting how a coal will perform with respect to slagging, fouling and every other single parameter involved in the use of that coal for capacity, efficiency maximization and emission control without firing even a lb of coal? This would enable the operator to know in advance what to expect and thereby, adjust the operating variables to get the best out of that coal. Such a software product – SCES (Steam Coal Evaluation & Services) has been developed based on the fundamental principles of combustion, mineral matter transformation and emission of particulates, NOx, SO2 and mercury, based on only the standard ASTM coal and ash analyses. The operational parameters evaluated are: Slagging and fouling as well as Grindability, Abrasion of the grinding elements; Combustibility & Unburnt carbon, Corrosion and Erosion; Emission of particulates, the oxides of sulfur and nitrogen (both primary and secondary DeNOx) as well as mercury when data are available. Its advantage over the existing products is its ability to predict, amongst others parameters, corrosion, erosion of convective tubes and the life of grinding elements none of which are discernible from the existing software products or from a limited test burn. These parameters however play important roles in the bottom line O & M costs. The implementation of SCES in providing meaningful rankings alerts the plant operators to the performance they can expect and any measures that need to be taken to be able the plant to operate at its highest load factor and efficiency while under emission compliance with minimum impact on O & M cost. No separate coal sample or small-scale laboratory evaluation work is required in the derivation of the rankings. Because of its simplicity of use and immediate availability of results, SCES can also be used as a routine analytical tool, accompanying the coal analyses by the plant or supplied with each delivery of coal. It is applicable to all coals irrespective of rank and country of origin, it has been used and validated on coals from the US, UK, Russia, Columbia and India. The paper describes the fundamental properties coal used in the development of the software and cites case histories of its validation on US (Bituminous & Sub-bituminous) coals." @default.
• W2025245019 created "2016-06-24" @default.
• W2025245019 creator A5019887122 @default.
• W2025245019 creator A5031644368 @default.
• W2025245019 creator A5051715221 @default.
• W2025245019 date "2006-01-01" @default.
• W2025245019 modified "2023-09-27" @default.
• W2025245019 title "Benchmarking Software for Slagging, Fouling and Other Parameters to Improve Coal-Fired Power Plant Load Factor, Efficiency and Emission" @default.
• W2025245019 doi "https://doi.org/10.1115/power2006-88249" @default.
• W2025245019 hasPublicationYear "2006" @default.
• W2025245019 type Work @default.
• W2025245019 sameAs 2025245019 @default.
• W2025245019 citedByCount "0" @default.
• W2025245019 crossrefType "proceedings-article" @default.
• W2025245019 hasAuthorship W2025245019A5019887122 @default.
• W2025245019 hasAuthorship W2025245019A5031644368 @default.
• W2025245019 hasAuthorship W2025245019A5051715221 @default.
• W2025245019 hasConcept C105923489 @default.
• W2025245019 hasConcept C115792997 @default.
• W2025245019 hasConcept C119599485 @default.
• W2025245019 hasConcept C127413603 @default.
• W2025245019 hasConcept C167206829 @default.
• W2025245019 hasConcept C178790620 @default.
• W2025245019 hasConcept C185592680 @default.
• W2025245019 hasConcept C188471824 @default.
• W2025245019 hasConcept C21880701 @default.
• W2025245019 hasConcept C24245907 @default.
• W2025245019 hasConcept C2780013297 @default.
• W2025245019 hasConcept C39432304 @default.
• W2025245019 hasConcept C41625074 @default.
• W2025245019 hasConcept C41888846 @default.
• W2025245019 hasConcept C4311470 @default.
• W2025245019 hasConcept C518851703 @default.
• W2025245019 hasConcept C548081761 @default.
• W2025245019 hasConcept C55493867 @default.
• W2025245019 hasConceptScore W2025245019C105923489 @default.
• W2025245019 hasConceptScore W2025245019C115792997 @default.
• W2025245019 hasConceptScore W2025245019C119599485 @default.
• W2025245019 hasConceptScore W2025245019C127413603 @default.
• W2025245019 hasConceptScore W2025245019C167206829 @default.
• W2025245019 hasConceptScore W2025245019C178790620 @default.
• W2025245019 hasConceptScore W2025245019C185592680 @default.
• W2025245019 hasConceptScore W2025245019C188471824 @default.
• W2025245019 hasConceptScore W2025245019C21880701 @default.
• W2025245019 hasConceptScore W2025245019C24245907 @default.
• W2025245019 hasConceptScore W2025245019C2780013297 @default.
• W2025245019 hasConceptScore W2025245019C39432304 @default.
• W2025245019 hasConceptScore W2025245019C41625074 @default.
• W2025245019 hasConceptScore W2025245019C41888846 @default.
• W2025245019 hasConceptScore W2025245019C4311470 @default.
• W2025245019 hasConceptScore W2025245019C518851703 @default.
• W2025245019 hasConceptScore W2025245019C548081761 @default.
• W2025245019 hasConceptScore W2025245019C55493867 @default.
• W2025245019 hasLocation W20252450191 @default.
• W2025245019 hasOpenAccess W2025245019 @default.
• W2025245019 hasPrimaryLocation W20252450191 @default.
• W2025245019 hasRelatedWork W2008136028 @default.
• W2025245019 hasRelatedWork W2046104381 @default.
• W2025245019 hasRelatedWork W2185476405 @default.
• W2025245019 hasRelatedWork W2273788395 @default.
• W2025245019 hasRelatedWork W2365290519 @default.
• W2025245019 hasRelatedWork W2372347750 @default.
• W2025245019 hasRelatedWork W2372530370 @default.
• W2025245019 hasRelatedWork W2374661063 @default.
• W2025245019 hasRelatedWork W2374718738 @default.
• W2025245019 hasRelatedWork W2912709004 @default.
• W2025245019 isParatext "false" @default.
• W2025245019 isRetracted "false" @default.
• W2025245019 magId "2025245019" @default.
• W2025245019 workType "article" @default.