Cleaning Interval Selection for SCR Considering Endurance Reliability and Emissions Reduction Efficiency in Heavy Duty Commercial Engine

2018 ◽  
Vol 18 (1) ◽  
pp. 66-71
Author(s):  
Jaesik Shin ◽  
Jungho Kang ◽  
Hyongjun Kim
2011 ◽  
Vol 188 ◽  
pp. 171-174
Author(s):  
Gang Wei Cui ◽  
D. Gao ◽  
L. Wang ◽  
Y.X. Yao

One of the difficult issues in thermal error modeling is to select appropriate temperature variables. In this paper, two selection strategies are introduced to overcome this difficulty. After measuring the temperatures and thermal errors of a heavy-duty CNC milling-boring machine tool by a laser tracker, four temperature variables which are the foundation of thermal error modeling are selected for each feed axis from fifteen temperature variables according to major factor strategy and non-interrelated strategy.


1998 ◽  
Author(s):  
Alejandro F. Romero ◽  
Ricardo Pech ◽  
Gerardo Arámbula ◽  
Gerardo Hernandez ◽  
Jesus Teutle

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nina Khanna ◽  
Hongyou Lu ◽  
David Fridley ◽  
Nan Zhou

AbstractChina needs to drastically reduce carbon dioxide (CO2) emissions from heavy-duty trucks (HDTs), a key emitter in the growing transport sector, in order to address energy security concerns and meet its climate targets. We address existing research gaps by modeling feasibility, applicability, and energy and emissions impacts of multiple decarbonization strategies at different points in time. China still relies heavily on coal power, so impacts of new HDT technologies depend on the timing of their introduction relative to progress toward non-fossil power. We use a bottom-up model to simulate HDT energy consumption and CO2 emissions through 2050. Results show that beginning to deploy battery electric and fuel-cell HDTs as early as 2020 and 2035, respectively, could achieve significant and the largest CO2 emissions reduction by 2050 with a decarbonized power sector. However, viable near-term strategies—improving efficiency and logistics, switching to liquefied natural gas—could halve HDTs’ current diesel consumption and CO2 emissions by 2050. Our results underscore the need for a mix of near- and long-term policy and technology options to decarbonize China’s HDTs.


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