2015
DOI: 10.1007/s40430-015-0326-4
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Conceptual design of biomass-fired cogeneration plant through a knowledge-based system

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Cited by 8 publications
(8 citation statements)
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References 15 publications
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“…The development cycle of the ES prototype is done according to the incremental model. Such a model is well-suited for expert systems and was previously used in [31][32][33]. In the incremental model, each new version has a new set of rules that gradually extends the knowledge and the functionality of the system (Fig.…”
Section: Computational Implementationmentioning
confidence: 99%
See 1 more Smart Citation
“…The development cycle of the ES prototype is done according to the incremental model. Such a model is well-suited for expert systems and was previously used in [31][32][33]. In the incremental model, each new version has a new set of rules that gradually extends the knowledge and the functionality of the system (Fig.…”
Section: Computational Implementationmentioning
confidence: 99%
“…In this way, the ES is a proper approach to perform energy diagnostics in industrial plants and to recommend actions for improving EE and promoting KM. A successful ES application related to EE technology is the design of cogeneration plants [31][32][33] presented a combined rule-based/data mining approach to detect EE anomalies in smart buildings and Faia et al [34] shown an ES combining case-based reasoning and swarm intelligence to determine the potential for energy reduction in buildings.…”
Section: Introductionmentioning
confidence: 99%
“…Results have shown that emission level is well below the NEQS (National Environmental Quality Standards), Pakistan, level that makes rice husk an environmental-friendly fuel [33]. CO level is high because carbon gets converted to CO as illustrated in (14). Following the optimised parameters mentioned in the parametric study, CO level can be reduced.…”
Section: Cost Savingmentioning
confidence: 99%
“…Refs. [17,18]), the tool is programmed in a declarative fashion. However, the simulation requires some control flow.…”
Section: Computational Implementation Of the Generalized Resilient Dementioning
confidence: 99%