Mathematical modeling of cooking pots’ thermal efficiency using a combined experimental and neural network method

Mathematical modeling of cooking pots’ thermal efficiency using a combined experimental and neural network method

A mathematical framework to model the heat transfer efficiency of cooking pots is proposed and exploited in this paper. The model consists of combining the experimental results and the statistical data of Residential Energy Consumption Survey (RECS) of Iran with a soft-computing concept such as neur...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 31; no. 14; pp. 2969 - 2985
Main Authors: Hannani, S.K., Hessari, E., Fardadi, M., Jeddi, M.K.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01-11-2006
Elsevier Science
Subjects:
Applied sciences
Cooking pots
Energy
Energy saving
Equipments, installations and applications
Exact sciences and technology
Natural energy
Neural network
Solar energy
Solar thermal conversion
Thermal efficiency
Iran
Asia
Cooking pots
Neural network
Thermal efficiency
Energy saving
Statistical data
Solar cooking device
Cooking
Experimental study
Modeling
Heat transfer
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Summary:A mathematical framework to model the heat transfer efficiency of cooking pots is proposed and exploited in this paper. The model consists of combining the experimental results and the statistical data of Residential Energy Consumption Survey (RECS) of Iran with a soft-computing concept such as neural network. Using neural network results, the variations of the efficiency with various parameters have been studied. It is shown that Group Method of Data Handling (GMDH)-type neural network can effectively model and predict thermal efficiency, as a function of important input parameters for a conventional cooking pot. Results show that efficiency increases with increasing diameter to flame ratio, bottom wall curvature, pot wall slope, and overall conductivity. With increasing edge radius and pot height to pot diameter ratio, efficiency decreases. Occupied volume percentage does not have a significant effect on efficiency.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:0360-5442
DOI:10.1016/j.energy.2005.11.006