Results 331 to 340 of about 3,732,130 (405)

Influence of carbon free gaseous ammonia induction on combustion, performance and emissions in an agricultural diesel engine operated on dual fuel mode. [PDF]

Sci Rep
Khayum N, Suraya S, Nandakishora Y, Shaik JH, Barik D, Dennison MS, Dinesh A, Rajendran S.   +7 more
europepmc   +1 more source

Experimental investigation of Al₂O₃ and CeO₂ nanoparticle additives in diesel-cottonseed biodiesel (CSOME) blends for performance and emission mitigation in a CI engine. [PDF]

Sci Rep
Dessie D, Yeshanew ES, Nallamothu RB, Gashaw G.   +3 more
europepmc   +1 more source

Hybrid XGBoost-RF-MLP model and PSO optimization for performance and emissions of CI engine using waste cooking biodiesel blends. [PDF]

Sci Rep
Gad MS, Soliman MS, Helal EB.
europepmc   +1 more source

Using behavioural analysis to reduce domestic fuel consumption in Northern Ireland : feedback and goal-setting interventions to conserve electricity

, 2010
Patricia Frazer
openalex   +1 more source

Methods for Fuel Consumption Reduction in Commercial Vehicles

, 2014
D.Kh. Valeev, Vladimir S. KARABTSEV
openalex   +1 more source

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Predicting Tractor Fuel Consumption

2003, Las Vegas, NV July 27-30, 2003, 2003
During the past 20 years of tractor testing, improved fuel efficiency from Nebraska Tractor Testing Laboratory (NTTL) reports was shown. A 4.8% decrease of average annual specific volumetric fuel consumption for the data used in the ASAE Standards was estimated.
Grisso, Robert D., Kocher, Michael F., Vaughan, David H.   +2 more
openaire   +1 more source

Minimum hydrogen consumption‐based energy management strategy for hybrid fuel cell unmanned aerial vehicles using direction prediction optimal foraging algorithm

Fuel Cells, 2023
In hybrid energy storage systems of fuel cell unmanned aerial vehicles (UAVs), achieving energy management while minimizing hydrogen consumption is the main goal for economic aspects and endurance enhancement.
Rui Quan, Zhongxin Li, Ping Liu, Yangxin Li, Yufang Chang, Huaicheng Yan   +5 more
semanticscholar   +1 more source

Neural network-based fuel consumption estimation for container ships in Korea

, 2020
Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have
L. Le, Gunwoo Lee, Keun-sik Park, Hwayoung Kim   +3 more
semanticscholar   +1 more source

Minimization of Fuel Consumption for Vehicle Trajectories

IEEE transactions on intelligent transportation systems (Print), 2020
Eco-driving, a timely and well-known subject, aims at reducing fuel consumption by appropriately maneuvering a vehicle with a human or automated driver. In this work, the eco-driving problem is cast in an optimal control framework.
P. Typaldos, I. Papamichail, M. Papageorgiou   +2 more
semanticscholar   +1 more source