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| SANUSI, Mayowa Saheed; Akinoso, Rahman. |
| This study was designed to evaluate and model the impacts of processing parameters (steaming time, soaking time, paddy moisture content and soaking temperature) on the energy consumption of five rice varieties (NERICA 8, FARO 52, FARO 61, FARO 60 and FARO 44). Energy consumption in the cleaning, soaking, steaming, drying, dehusking, polishing and grading operations were estimated by fitting data on labour, fuel and electricity consumption, time and machine efficiency into standard equations to determine total energy consumption. The energy consumptions were separately modelled using Taguchi and Artificial Neural Network (ANN) techniques for each rice variety. The accuracy of models was determined using the coefficient of determination (R2) and Mean Square... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Artificial neural network; Energy Consumption; Modelling; Rice varieties; Taguchi. |
| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7235 |
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| Chebbi, Houssem Eddine; Boujelbene, Y.. |
| The aim of this country specific study is to understand long and short-run linkages between economic growth, energy consumption and CO2 emission using Tunisian data over the period 1971-2004. Statistical findings indicate that economic growth, energy consumption and CO2 emission are related in the long-run and provide some evidence of inefficient use of energy in Tunisia, since environmental pressure tends to rise faster than economic growth. In the short run, results support the argument that economic growth exerts a positive “causal” influence on energy consumption growth. In addition, results from impulse response do not confirm the hypothesis that an increase in pollution level induces economic expansion. Although Tunisia has no commitment to reduce... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: CO2 emissions; Energy Consumption; Economic Growth; Tunisia; Resource /Energy Economics and Policy. |
| Ano: 2008 |
URL: http://purl.umn.edu/44016 |
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