Application of grey prediction in a solar energy-assisted photocatalytic low-pressure drying process

Drying Technology

Volumn 28, Issue 9, 2010, Pages 1097-1106

  Chen, Ho Hsien ^a   Chung, Chao Chin ^a   Hsu, Chih Hsiang ^a   Huang, Tzou Chi ^a  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Grey prediction methodology (GPM); Pineapple; Solar energy assisted photocatalytic low pressure dryer (SEPLD); Star fruit; Tomato

Indexed keywords

ANANAS COMOSUS; BACTERIAL COUNT; CARAMBOLA; DEHYDRATION RATES; DIFFUSION COEFFICIENTS; DRYING CHARACTERISTICS; DRYING EQUIPMENT; DRYING MODEL; DRYING PERFORMANCE; DRYING PROCESS; DRYING RATES; DRYING TESTS; DRYING TIME; GREEN ENERGY; GREY PREDICTION; LYCOPERSICON ESCULENTUM; PERFORMANCE TESTS; PHOTO-CATALYTIC; PINEAPPLE; PREDICTION MODEL; PRESSURE GENERATION SYSTEMS; SENSORY EVALUATION; TIO; TOMATO;

ALTERNATIVE FUELS; CURING; DEHYDRATION; DEWATERING; DRYERS (EQUIPMENT); FOOD TECHNOLOGY; FORECASTING; FRUITS; GAS EMISSIONS; GLOBAL WARMING; GREENHOUSE GASES; MATHEMATICAL MODELS; PLANTS (BOTANY); SOLAR ENERGY; SOLAR RADIATION; SUN; WATER CONTENT; WATER QUALITY;

DRYING;

EID: 77956640394     PISSN: 07373937     EISSN: 15322300     Source Type: Journal    
DOI: 10.1080/07373937.2010.506168     Document Type: Article

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