Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
<div class="section abstract"><div class="htmlview paragraph">Pollutant emissions from vehicles depend on both fuel and driving conditions. This work investigates the impact of using a 20% (V/V) biodiesel blend (B20) on the CO<sub>2</sub>, NOx, and particle number emissions of a light-duty diesel vehicle, using GT-Suite® software. Combustion parameters and emissions were experimentally measured in a Cummins ISF 2.8 L diesel engine and used as inputs for the model. Vehicle simulations using ULSD and B20 were performed for the standard WLTC driving cycle as well as driving cycles representative of Andean cities, that include steep road slopes and heavy traffic. Additionally, simulations considered three gear-shifting strategies, one based on dynamic gear selection and two on imposed-speed thresholds for each gear shift.</div><div class="htmlview paragraph">Results show that using B20 decreases the particle number emissions in 39 – 79% for the tested driving cycles and gear-shifting strategies. Meanwhile, fuel change showed no significant effect on CO<sub>2</sub>, and NOx emissions were slightly increased between 3 and 11% in the studied cases. Higher emission factors for all pollutants were found with the Andean driving cycles when compared to WLTC, increasing up to 204% in the scenario that included road slope. Regarding the gear-shifting strategies, imposed-speed strategy NEDC led to the lowest fuel consumption and PN emissions, and NBR led to the lowest NOx emissions, while the dynamic strategy led to the highest NOx emissions, with a fuel consumption very similar to NBR strategy.</div></div>
<div class="section abstract"><div class="htmlview paragraph">Pollutant emissions from vehicles depend on both fuel and driving conditions. This work investigates the impact of using a 20% (V/V) biodiesel blend (B20) on the CO<sub>2</sub>, NOx, and particle number emissions of a light-duty diesel vehicle, using GT-Suite® software. Combustion parameters and emissions were experimentally measured in a Cummins ISF 2.8 L diesel engine and used as inputs for the model. Vehicle simulations using ULSD and B20 were performed for the standard WLTC driving cycle as well as driving cycles representative of Andean cities, that include steep road slopes and heavy traffic. Additionally, simulations considered three gear-shifting strategies, one based on dynamic gear selection and two on imposed-speed thresholds for each gear shift.</div><div class="htmlview paragraph">Results show that using B20 decreases the particle number emissions in 39 – 79% for the tested driving cycles and gear-shifting strategies. Meanwhile, fuel change showed no significant effect on CO<sub>2</sub>, and NOx emissions were slightly increased between 3 and 11% in the studied cases. Higher emission factors for all pollutants were found with the Andean driving cycles when compared to WLTC, increasing up to 204% in the scenario that included road slope. Regarding the gear-shifting strategies, imposed-speed strategy NEDC led to the lowest fuel consumption and PN emissions, and NBR led to the lowest NOx emissions, while the dynamic strategy led to the highest NOx emissions, with a fuel consumption very similar to NBR strategy.</div></div>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.