scholarly journals The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems

Energies ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 821 ◽  
Author(s):  
Alfredo Gimelli ◽  
Massimiliano Muccillo
Author(s):  
Iman Mehdipour ◽  
Gabriel Falzone ◽  
Dale Prentice ◽  
Narayanan Neithalath ◽  
Dante Simonetti ◽  
...  

Optimizing the spatial distribution of contacting gas and the gas processing conditions enhances CO2 mineralization reactions and material properties of carbonate-cementitious monoliths.


2021 ◽  
Author(s):  
Betül Sultan Yildiz ◽  
Nantiwat Pholdee ◽  
Sujin Bureerat ◽  
Ali Riza Yildiz ◽  
Sadiq M. Sait

2015 ◽  
Vol 6 (2/3) ◽  
pp. 154 ◽  
Author(s):  
B.W. Shivaraj ◽  
H.N. Narasimha Murthy ◽  
M. Krishna ◽  
B.M. Nagabhushana ◽  
Sushanth D. Shandilya ◽  
...  

Author(s):  
Najla Mouchrek ◽  
Lia Krucken

The paper analyzes the role of Design as an agent of social transformation in face of complex challenges. Intentionally embracing reality’s complexity and centering on human values, the Design approach is suited to develop alternative perspectives and radically different strategies for change. The paper explores Design teaching focusing on social change and transition to sustainability, presenting three initiatives and reflecting about methods and impacts of the application of Design for transition. The analysis points to the need of a critical vision in Design research and teaching and the importance to systematize and teach methods and tools to support the interplay among diverse social actors.


Author(s):  
Patrick N. Koch ◽  
Janet K. Allen ◽  
Farrokh Mistree ◽  
Dimitri Mavris

Abstract To facilitate the effective solution of multidisciplinary, multiobjective complex design problems, a departure from the traditional parametric design analysis and single objective optimization approaches is necessary in the preliminary stages of design. A necessary tradeoff becomes one of efficiency vs. accuracy as approximate models are sought to allow fast analysis and effective exploration of a preliminary design space. In this paper we apply a general robust design approach for efficient and comprehensive preliminary design to a large complex system: a high speed civil transport (HSCT) aircraft. Specifically, we investigate the HSCT wing configuration design, incorporating life cycle economic uncertainties to identify economically robust solutions. The approach is built on the foundation of statistical experimentation and modeling techniques and robust design principles, and is specialized through incorporation of the compromise Decision Support Problem for multiobjective design. For large problems however, as in the HSCT example, this robust design approach developed for efficient and comprehensive design breaks down with the problem of size — combinatorial explosion in experimentation and model building with number of variables — and both efficiency and accuracy are sacrificed. Our focus in this paper is on identifying and discussing the implications and open issues associated with the problem of size for the preliminary design of large complex systems.


2019 ◽  
pp. 1-16 ◽  
Author(s):  
David S. Haydon ◽  
Ross A. Pinder ◽  
Paul N. Grimshaw ◽  
William S. P. Robertson

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