Improved emissions conversion of diesel oxidation catalyst using multifactor impact analysis and neural network

J Ye, Q Peng - Energy, 2023 - Elsevier
Abstract Diesel Oxidation Catalyst (DOC) is an effective device to reduce engine emissions.
To improve the oxidation performance of HCs, NO x and CO, a 3D simulation model of …

Prediction of cold start emissions for hybrid electric vehicles based on genetic algorithms and neural networks

D Tang, Z Zhang, L Hua, J Pan, Y Xiao - Journal of Cleaner Production, 2023 - Elsevier
The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …

A Deep Learning Micro-Scale Model to Estimate the CO2 Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

R Zhang, Y Wang, Y Pang, B Zhang, Y Wei, M Wang… - Atmosphere, 2022 - mdpi.com
On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly
affected by driving conditions, which may be better predicted with the sequence deep …

[HTML][HTML] Embodied carbon determination in the transportation stage of prefabricated constructions: A micro-level model using the bin-packing algorithm and modal …

Y Xiang, K Ma, AM Mahamadu, L Florez-Perez… - Energy and …, 2023 - Elsevier
The prefabricated construction generates considerable embodied carbon emissions during
the manufacture, transportation, and construction stages. However, the contribution from the …

Influence of travel time on carbon dioxide emissions from urban traffic

J Sánchez-Balseca, JL Pineiros… - … Research Part D …, 2023 - Elsevier
Carbon footprint analysis measures the greenhouse gas emissions from the mobilization of
members of an institution. Commonly, the product between the distance and economy fuel …

Prediction of real driving emission of light vehicles in China VI based on GA-BP algorithm

H Yu, H Chang, Z Wen, Y Ge, L Hao, X Wang, J Tan - Atmosphere, 2022 - mdpi.com
In the China VI regulations for light-duty vehicles, the (RDE) test is introduced as a
supplementary test procedure. In the actual test process, the RDE results are more …

CO2 and CH4 Emission Factors from Light-Duty Vehicles by Fuel Types in Thailand

D Sirithian, P Thanatrakolsri, S Pongpan - Atmosphere, 2022 - mdpi.com
Correct emission factors are necessary for evaluating vehicle emissions and making proper
decisions to manage air pollution in the transportation sector. In this study, using a chassis …

A novel method for real driving emission prediction utilizing an artificial neural network

A Baghani, I Chitsaz, MM Teymoori - Engineering Applications of Artificial …, 2024 - Elsevier
The present study introduces a novel method based on the experimental emission data of
standard Real driving emission measurement is a challenging issue for future emission …

[HTML][HTML] A neural network approach on forecasting spark duration effect on in-cylinder performance of a large bore compression ignition engine fueled with propane …

C Windarto, O Lim - Fuel Processing Technology, 2024 - Elsevier
In the current study, we examined the impact of spark duration strategy on a large bore
compression ignition engine fueled with propane direct injection. An artificial neural network …

Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with …

SA Okeleye, A Thiruvengadam, MG Perhinschi… - Energy, 2024 - Elsevier
Abstract The Selective Catalytic Reduction on Filter (SCRF) system is yet to be deployed in
current heavy-duty diesel engine aftertreatment system. Due to the thermal, space and cost …