Cycle Selection and Sizing of a Single-Aisle Transport with the Electrically Variable Engine(TM) (EVE) for Fleet Level Fuel Optimization

Author(s):  
Christopher Perullo ◽  
David Trawick ◽  
Michael Armstrong ◽  
Jimmy C. Tai ◽  
Dimitri N. Mavris
Keyword(s):  
Author(s):  
Manuel-Angel Gonzalez-Chapa ◽  
Jose-Ramon Vega-Galaz

Combined Heat and Power systems have been used all around the world due to their effective and viable way of transforming energy from fossil fuel. Indeed, the advantage of lower greenhouse gas emissions compared to those obtained in conventional power or conventional heat generation systems have been an important factor giving CHP systems an advantage over these conventional ones. Certainly CHP has been, and continues to be, a good practice while renewable technologies become more economically. While these technologies emerge it is important to continue minimizing these greenhouse gas emissions from conventional and CHP units as much as possible. This paper deals with the fuel optimization of power, heat and CHP systems including emissions and ambient conditions constraints. Ambient conditions variations are evaluated before solving the optimization and then introduced to the problem to consider their effects.


1964 ◽  
pp. 823-844 ◽  
Author(s):  
A.A. Goldstein ◽  
A.H. Greene ◽  
A.T. Johnson

Author(s):  
Jesper Knudsen ◽  
Jan Bendtsen ◽  
Palle Andersen ◽  
Kjeld Madsen ◽  
Claes Sterregaard ◽  
...  

Author(s):  
Yan Chen ◽  
Zili Chen ◽  
Junmin Wang

This paper presents an operational energy optimization method for pure electric ground vehicles (EGVs) based on terrain profile preview. Dynamic programming is applied to obtain the global optimal energy point for torque distributions. The vehicles considered in this paper are powered by batteries and in-wheel motors. Different from the fuel optimization methods of conventional hybrid electric vehicles which adjust battery power supplies, a pure EGV actuated by in-wheel motors has only one energy source, whose power consumption is mainly determined by the torque distributions among in-wheel motors in terms of their operating efficiencies. Moreover, the optimization results show that different terrains will influence the optimal torque distributions and energy savings.


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