Descriptive Statistical Analysis of Vegetable Oil Combustion in a Commercial Burner to Establish Optimal Operating Conditions

Julio San José, Yolanda Arroyo and María Ascensión Sanz-Tejedor
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Julio San José: Department of Energy Engineering and Fluid Mechanics, ITAP, School of Industrial Engineering, University of Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain
Yolanda Arroyo: Department of Organic Chemistry, ITAP, School of Industrial Engineering, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain
María Ascensión Sanz-Tejedor: Department of Organic Chemistry, ITAP, School of Industrial Engineering, Universidad de Valladolid, Paseo del Cauce, 59, 47011 Valladolid, Spain

Energies, 2019, vol. 12, issue 12, 1-11

Abstract: This article studies the combustion of refined sunflower, virgin sunflower and virgin rapeseed oils in a low-pressure auxiliary air fluid pulverization burner in order to establish the optimal operating conditions. The influence of varying the type of vegetable oil, fuel flow rate and secondary airflow rate in the combustion process was analyzed. These three factors are independent in the combustion process, which means having to carry out numerous assays, combining the various factors with one another. Given the amount of variables to be optimized and the existence of three factors, a statistical approach is adopted to help interpret the results obtained and to evaluate how each factor influences the combustion results. Optimal combustion is determined based on three criteria, minimum pollutant emissions (CO, NOx and CxHy), maximum combustion performance, and minimum excess air. The result of this study showed that airflow was the principal factor affecting emissions, whereas for combustion performance, both factors (airflow and fuel flow) were determinant. In general, admissible combustion performances were obtained, with CO and NOx emissions below permitted levels. The best combustion performance was achieved under conditions of maximum fuel flow and minimum airflow rates.

Keywords: rapeseed oil; sunflower oil; biofuel; combustion; burner; descriptive statistical analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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