Development of a case-based reasoning prototype for cogeneration plant design

José Alexandre Matelli, Edson Bazzo and Jonny Carlos da Silva

Applied Energy, 2011, vol. 88, issue 9, 3030-3041

Abstract: This paper deals with the design problem associated with natural gas cogeneration systems. Despite the task complexity, this design process is strongly based on knowledge that experts formally apply in their activities. Through an appropriate knowledge representation scheme this study demonstrates that the knowledge-based system (KBS) is an approach well-suited to cogeneration plant design. The research involves the use of rule-based expert systems (RBES) and case-based reasoning (CBR). In this paper, the basic concepts of the CBR technique and a CBR prototype for assistance in cogeneration plant design are presented. An RBES prototype for natural gas cogeneration system design previously developed by the authors is used to generate cases for the CBR prototype. A solution generated by the CBR prototype for a plant design requiring 4MW of power and 0.7kg/s of saturated steam at 0.9MPa is presented. The application of CBR in cogeneration plant design represents an original and important contribution of this work.

Keywords: Cogeneration; Case-based reasoning; Rule-based expert systems (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261911001619
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:88:y:2011:i:9:p:3030-3041

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2011.03.006

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().