scholarly journals A BI-LEVEL MULTI-OBJECTIVE OPTIMIZATION MODEL FOR THE PLANNING, DESIGN AND OPERATION OF SMART GRID PROJECTS. CASE STUDY: AN ISLANDED MICROGRID

2020 ◽  
Vol 10 (4) ◽  
pp. 325-341 ◽  
Author(s):  
Ricardo Echeverri Martínez ◽  
Eduardo Caicedo Bravo ◽  
Wilfredo Alfonso Morales ◽  
Juan David Garcia-Racines
Keyword(s):  
Smart Grid ◽  
Optimization Model ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Islanded Microgrid

A spatial multi-objective optimization model for sustainable urban wastewater system layout planning

2012 ◽  
Vol 66 (2) ◽  
pp. 267-274 ◽  
Author(s):  
X. Dong ◽  
S. Zeng ◽  
J. Chen
Keyword(s):  
Optimization Model ◽  
Municipal Wastewater ◽  
Monte Carlo Sampling ◽  
Multi Objective Optimization ◽  
Urban Wastewater ◽  
Multi Objective ◽  
Local Municipality ◽  
Beijing China ◽  
System Layout

Design of a sustainable city has changed the traditional centralized urban wastewater system towards a decentralized or clustering one. Note that there is considerable spatial variability of the factors that affect urban drainage performance including urban catchment characteristics. The potential options are numerous for planning the layout of an urban wastewater system, which are associated with different costs and local environmental impacts. There is thus a need to develop an approach to find the optimal spatial layout for collecting, treating, reusing and discharging the municipal wastewater of a city. In this study, a spatial multi-objective optimization model, called Urban wastewateR system Layout model (URL), was developed. It is solved by a genetic algorithm embedding Monte Carlo sampling and a series of graph algorithms. This model was illustrated by a case study in a newly developing urban area in Beijing, China. Five optimized system layouts were recommended to the local municipality for further detailed design.

scholarly journals RESILIENCE-COST TRADEOFF SUPPLY CHAIN PLANNING FOR THE PREFABRICATED CONSTRUCTION PROJECT

2021 ◽  
Vol 27 (1) ◽  
pp. 45-59
Author(s):  
Hong Zhang ◽  
Lu Yu
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Construction Project ◽  
Transportation Cost ◽  
Planning Problem ◽  
Multi Objective Optimization ◽  
Planning Stage ◽  
Multi Objective ◽  
Construction Schedule

Delivery of the prefabricated components may be disrupted by low productivity and various of traffic restrictions, thus delaying the prefabricated construction project. However, planning of the prefabricated component supply chain (PCSC) under disruptions has seldom been studied. This paper studies the construction schedule-dependent resilience for the PCSC plan by considering transportation costs and proposes a multi-objective optimization model. First, the PCSC planning problem regarding schedule-dependent resilience and resultant transportation cost is analyzed. Second, a quantification scheme of the schedule-dependent resilience of the PCSC plan is proposed. Third, formulation of the resilience-cost tradeoff optimization model for the PCSC planning is developed. Fourth, the multi-objective particle swarm optimization (MOPSO)-based method for solving the resilience-cost tradeoff model is presented. Finally, a case study is presented to demonstrate and justify the developed method. This study contributes to the knowledge and methodologies for PCSC management by addressing resilience at the planning stage.

The development of multi-objective optimization model for excess bagasse utilization: A case study for Thailand

2008 ◽  
Vol 28 (6) ◽  
pp. 380-391 ◽  
Author(s):  
Bancha Buddadee ◽  
Wanpen Wirojanagud ◽  
Daniel J. Watts ◽  
Rapeepan Pitakaso
Keyword(s):  
Optimization Model ◽  
Multi Objective Optimization ◽  
Multi Objective

A Multi-Objective Optimization Model for Plastic Cup Design Using Mechanical and Environmental Performances

2013 ◽  
Vol 378 ◽  
pp. 424-428
Author(s):  
Cucuk Nur Rosyidi ◽  
Azizah Aisyati ◽  
Anggun Tri Kusumaningrum
Keyword(s):  
Optimization Model ◽  
Ozone Depletion ◽  
Product Life Cycle ◽  
Current Practice ◽  
Environmental Issues ◽  
Design Stage ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cup Design

In recent years, environmental issues such as global warming and ozone depletion become more intense. The issues have made many companies include the environmental performances into their product life cycle from design into disposal stage. In the design stage, it is important to determine the optimal dimensions of the product which balancing the mechanical and environmental performances. The aim of this research is to develop a multi-objective optimization model for plastic cup design using mechanical and environmental performances. A case study is given to show the implementation of the model. The optimization model resulted a thickness which is not significantly different comparing to the current practice in the company. The results give more efficient use of material and reduction of production cost and environmental impact.

Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China

Energy ◽  
2020 ◽  
Vol 208 ◽  
pp. 118384
Author(s):  
Meihui Jiang ◽  
Haizhong An ◽  
Xiangyun Gao ◽  
Donghui Liu ◽  
Nanfei Jia ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Optimization Model ◽  
Multi Objective Optimization ◽  
Multi Objective
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