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contributor authorP. Basu
contributor authorS. Mitra
date accessioned2017-05-08T23:44:05Z
date available2017-05-08T23:44:05Z
date copyrightJuly, 1994
date issued1994
identifier issn1528-8919
identifier otherJETPEZ-26729#462_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/113529
description abstractThe design of a boiler using a new technology, i.e., circulating fluidized bed combustion, requires a considerable amount of expertise, which is a combination of experience, knowledge of the subject, and intuition. Boiler vendors, who are required to prepare a large number of proposals, rely heavily on the the skill and judgment of their senior (expert) designers. An artificial intelligence based expert system can greatly simplify this task. This system can assist expert designers to store their experience and decision-making skill through the code of a computer program, which remains intact and ready to apply their skill uniformly and rapidly to all designs when required. This may allow novice designers to carry out routine proposal designs, freeing the experts to improve current designs. The present paper gives an illustration of the use of expert systems to the design of only one aspect of the furnace, which is furnace cross section. It shows that in addition to the standard method of determining the furnace area from the fluidization, the design can take advantage of previous experience, which lists grate heat release rate and other relevant parameters. The expert system also modifies the calculated value to meet different concerns of the boiler purchaser and/or his consultants. Finally the expert develops a compromise of different considerations and requirements with importance attached to them. The paper also shows how the design will change when the importance attached to a particular constraint is relaxed.
publisherThe American Society of Mechanical Engineers (ASME)
titleApplication of an Expert System to the Design of Furnace of a Circulating Fluidized Bed Boiler
typeJournal Paper
journal volume116
journal issue3
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.2906843
journal fristpage462
journal lastpage467
identifier eissn0742-4795
keywordsBoilers
keywordsDesign
keywordsExpert systems
keywordsFluidized beds
keywordsFurnaces
keywordsComputer software
keywordsDecision making
keywordsHeat
keywordsFluidized bed combustion
keywordsFireplaces
keywordsFluidization AND Artificial intelligence
treeJournal of Engineering for Gas Turbines and Power:;1994:;volume( 116 ):;issue: 003
contenttypeFulltext


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