Agricultural practices that make use of variable-rate (VR) distribution, introduced by precision agriculture (PA), are based on many points of variability which obtain dierent and modular eects that can aect the ecacy and environmental impact of the treatment performed. The aim of the present research was to study the eect of dierent structural combinations of an agricultural sprayer on the required power, fuel consumption, and carbon emissions. The studied machine was equipped with a mechanical device that regulated the air outlet section in three openings. The fan was tested in five blade angles and in two gear ratios. The power requirement (kW) was calculated using a torque-meter. Moreover, fuel consumption (L h1), energy demand (MJ L1), and carbon emissions (kg CO2eq kg1) were calculated by the power consumption of each test. The results showed that all components of the layout and their interaction influenced consumption and, consequently, emissions. In order to mitigate the environmental impact of treatments, the outcomes suggest the possibility of implementing this study into algorithms that make setup choices during distribution.
Sprayer Axial Fan Layout Affecting Energy Consumption and Carbon Emissions
Sabina Failla
Primo
;Giampaolo Schillaci;Domenico Longo;
2020-01-01
Abstract
Agricultural practices that make use of variable-rate (VR) distribution, introduced by precision agriculture (PA), are based on many points of variability which obtain dierent and modular eects that can aect the ecacy and environmental impact of the treatment performed. The aim of the present research was to study the eect of dierent structural combinations of an agricultural sprayer on the required power, fuel consumption, and carbon emissions. The studied machine was equipped with a mechanical device that regulated the air outlet section in three openings. The fan was tested in five blade angles and in two gear ratios. The power requirement (kW) was calculated using a torque-meter. Moreover, fuel consumption (L h1), energy demand (MJ L1), and carbon emissions (kg CO2eq kg1) were calculated by the power consumption of each test. The results showed that all components of the layout and their interaction influenced consumption and, consequently, emissions. In order to mitigate the environmental impact of treatments, the outcomes suggest the possibility of implementing this study into algorithms that make setup choices during distribution.File | Dimensione | Formato | |
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