Optimal Design of Large-Scale Special Truss Structures

2018 ◽  
pp. 45-63
Author(s):  
Ali Kaveh ◽  
Majid Ilchi Ghazaan
Keyword(s):  
Optimal Design ◽  
Large Scale ◽  
Truss Structures

scholarly journals Optimal Design of Large Scale dry Cooling Tower with Consideration of Off-design Operation

2014 ◽  
Vol 61 ◽  
pp. 190-193 ◽  
Author(s):  
Xinming Xi ◽  
Lei Yang ◽  
Yanan He ◽  
Lijun Yang ◽  
Xiaoze Du
Keyword(s):  
Optimal Design ◽  
Large Scale ◽  
Cooling Tower ◽  
Dry Cooling Tower ◽  
Dry Cooling

scholarly journals A Cultural Algorithm for Optimal Design of Truss Structures

2015 ◽  
Vol 12 (9) ◽  
pp. 1721-1747 ◽  
Author(s):  
Shahin Jalili ◽  
Yousef Hosseinzadeh
Keyword(s):  
Optimal Design ◽  
Truss Structures ◽  
Cultural Algorithm

Optimal Design and Techno-Economic Analysis for Corncob Particles Briquettes: A Literature Review of the Utilization of Agricultural Waste and Analysis Calculation

2021 ◽  
Author(s):  
Asep Bayu Dani Nandiyanto ◽  
Nissa Nur Azizah ◽  
Gabriela Chelvina Santiuly Girsang
Keyword(s):  
Optimal Design ◽  
Literature Review ◽  
Economic Analysis ◽  
Large Scale ◽  
Net Present Value ◽  
Raw Materials ◽  
Agricultural Waste ◽  
Raw Material ◽  
Variable Cost ◽  
Scale Production

Corncob is usually disposed of directly as waste, creating problems in the environment, while it can be converted into valuable materials. This research aimed to evaluate the literature review on briquette production from agricultural waste (using non-binder and cold press with a binder) and the current works on techno-economic analysis, to propose an optimal design for the production of briquette from corncob waste, and to perform a techno-economic analysis based on the selected optimal processing method. The engineering perspective based on stoichiometry and mass balance showed the potential corncob briquette manufacture in both home and large scales due to the possible use of inexpensive and commercially available equipment and raw materials. The economic perspective [based on several economic evaluation factors (i.e., gross profit margin, payback period, break-even point, cumulative net present value, return of investment, internal rate return, and profitability index) under ideal and non-ideal conditions by considering internal (i.e., sales, raw materials, utilities, and variable cost) and external aspects (i.e., tax)] confirmed the prospective development of the project in the large-scale production with a lifetime of more than 18 years. The main issue in the project is the raw material (i.e. tapioca flour), giving the most impact on the project’s feasibility. Even in severe conditions, the project is feasible. The great endurance was also confirmed in the case of a higher tax rate. This study demonstrates the importance of producing corncob-based briquettes for improving the economic value and giving alternatives for problem solvers in the utilization of agricultural waste.

Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework

2022 ◽  
Vol 305 ◽  
pp. 117751
Author(s):  
Wanrong Wang ◽  
Yingjie Ma ◽  
Azadeh Maroufmashat ◽  
Nan Zhang ◽  
Jie Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optimal Design ◽  
Hydrogen Production ◽  
Production Process ◽  
Large Scale

An optics inspired optimization method for optimal design of truss structures

2019 ◽  
Vol 28 (6) ◽  
pp. e1598 ◽  
Author(s):  
Shahin Jalili ◽  
Ali Husseinzadeh Kashan
Keyword(s):  
Optimal Design ◽  
Optimization Method ◽  
Truss Structures

scholarly journals Multi-Disciplinary Design Optimization for Large-Scale Reverse Osmosis Systems

2014 ◽  
Author(s):  
Bo Yang Yu ◽  
Tomonori Honda ◽  
Syed Zubair ◽  
Mostafa H. Sharqawy ◽  
Maria C. Yang
Keyword(s):  
Optimal Design ◽  
Complex Systems ◽  
Design Optimization ◽  
Reverse Osmosis ◽  
Large Scale ◽  
Analytical Target Cascading ◽  
Total Water ◽  
Target Cascading ◽  
Desalination Plants ◽  
Functional Components

Large-scale desalination plants are complex systems with many inter-disciplinary interactions and different levels of sub-system hierarchy. Advanced complex systems design tools have been shown to have a positive impact on design in aerospace and automotive, but have generally not been used in the design of water systems. This work presents a multi-disciplinary design optimization approach to desalination system design to minimize the total water production cost of a 30,000m3/day capacity reverse osmosis plant situated in the Middle East, with a focus on comparing monolithic with distributed optimization architectures. A hierarchical multi-disciplinary model is constructed to capture the entire system’s functional components and subsystem interactions. Three different multi-disciplinary design optimization (MDO) architectures are then compared to find the optimal plant design that minimizes total water cost. The architectures include the monolithic architecture multidisciplinary feasible (MDF), individual disciplinary feasible (IDF) and the distributed architecture analytical target cascading (ATC). The results demonstrate that an MDF architecture was the most efficient for finding the optimal design, while a distributed MDO approach such as analytical target cascading is also a suitable approach for optimal design of desalination plants, but optimization performance may depend on initial conditions.

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