Enhanced coproduction and trade-off of the hydrogen and butanol in the coupled system of pervaporation and repeated-cycle fixed-bed fermentation

2021 ◽  
Vol 161 ◽  
pp. 113172
Author(s):  
Jingyun Liu ◽  
Senqing Fan ◽  
Zeyi Xiao
Author(s):  
Sudhendu Rai

Abstract A complex engineering system such as a xerographic marking engine is an aggregate of interacting subsystems that are coupled through a large number of constraints and design variables. The traditional way of designing these systems is to decouple the overall design into smaller subsystems and assign teams to work on these subsystems. This approach is critical to making the project manageable and enabling concurrent development. However, if the goal is to design systems that can deliver best possible performance, i.e. if the performance limits are being pushed to the extreme, characterizing the interactions becomes critical. Multiobjective optimization is a design methodology that addresses the issue of designing large systems where the goal is to simultaneously optimize a finite number of performance criteria that come from one or more disciplines and are coupled through a set of design variables and constraints. This approach to design makes explicit and quantitative the inherent tradeoffs that need to be made in doing coupled system design. It also enables the determination of the attainable limits of performance from a given system. This paper will discuss the multiobjective optimization methodology and optimal methods of performing quantitative trade-off analysis. These design methods will be applied to problems from the xerographic design domain and results will be presented.


2021 ◽  
Vol 46 (5) ◽  
pp. 3629-3639
Author(s):  
Jingyun Liu ◽  
Wencan Zhou ◽  
Senqing Fan ◽  
Boya Qiu ◽  
Yuyang Wang ◽  
...  

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.


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