1. An inexact fuzzy bi-level programming model for energy–traffic system planning under uncertainty: a case study of Urumqi city, China
- Author
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Guohe Huang, J.L. Zhen, Yulei Xie, Y. Yao, and Shiman Wang
- Subjects
Structure (mathematical logic) ,Control and Optimization ,Operations research ,Computer science ,020209 energy ,Applied Mathematics ,02 engineering and technology ,Interval (mathematics) ,Management Science and Operations Research ,Fuzzy logic ,Industrial and Manufacturing Engineering ,12. Responsible consumption ,Computer Science Applications ,Electricity generation ,Sustainable city ,13. Climate action ,11. Sustainability ,0202 electrical engineering, electronic engineering, information engineering ,Programming paradigm ,Energy supply ,Energy (signal processing) ,Simulation - Abstract
In this study, an inexact fuzzy bi-level programming model was developed for regional energy and traffic system management under uncertainty in Urumqi city, China. The energy system and traffic system are important subsystems of regional areas such as cities. The coordinated management of regional subsystems is a difficult problem for regional management. A bi-level programming model is an appropriate and simple method to describe the coordinated management of regional subsystems. The energy and traffic structure adjustment, clean power generation and pollutant emission–reduction targets are designed to support the construction of an environmentally sustainable city in China. Methods of interval parameter programming and bi-level programming were incorporated into the developed model to tackle uncertainties and reflect the features in the system. The environmental impacts of energy and traffic activities and policies were analysed. The results are valuable for supporting the management or justific...
- Published
- 2016
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