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Developing an expert system for conceptual design of biomass-fired cogeneration plants: knowledge elicitation and representation

Grant number: 12/12567-2
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): August 01, 2012
Effective date (End): July 31, 2013
Field of knowledge:Engineering - Mechanical Engineering - Thermal Engineering
Principal researcher:José Alexandre Matelli
Grantee:Fernando Luz dos Santos
Home Institution: Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil


The diversification of the Brazilian energy sources is important nowadays. It is a strategy to face the need to increase the energy offer at a cost compatible with a development model that requires sustainability and minimization of environment impacts. In this scenario, cogeneration plants have a strong appeal, specially in industries where the by-products can be used as fuel. The design of a cogeneration plant is intrinsically complex because it may exist several alternatives to meet a given set of design requirements. The heuristic nature of the problem suggests its solution through expert systems. Knowledge engineering is the process to develop such systems. Knowledge engineering transcends, but does not exclude, the mere programming. Knowledge acquisition and representation are tipycal steps in the knowledge based development that are carried out previously the programming. A poor knowledge aquisiction/representantion deeply affect the programming. The objective of this research project is to develop knowledge engineering activities, mainly related to the knowledge acquisition and representation, for an expert system for conceptual design of biomass-fired cogeneration plants.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MATELLI, JOSE ALEXANDRE. Conceptual design of biomass-fired cogeneration plant through a knowledge-based system. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 38, n. 2, p. 535-549, FEB 2016. Web of Science Citations: 3.

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