IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty |
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| Authors: | Q.G. Lin G.H. Huang B. Bass X.S. Qin |
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| Affiliation: | 1. Center for Studies of Energy and Environment, Faculty of Engineering, University of Regina, Regina, SK, Canada S4S 0A2;2. Chinese Research Academy of Environmental Science, Beijing Normal University, Beijing 100012-100875, China;3. Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada S4S 0A2;4. Institute for Environmental Studies, University of Toronto, Toronto, ON, Canada M5S 3E8 |
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| Abstract: | The development of optimization models for energy systems planning has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the planning process and the complex interactions among various uncertain parameters are challenging the capabilities of these developed tools. Therefore, the objective of this study is to develop a hybrid interval-fuzzy two-stage stochastic energy systems planning model (IFTEM) to deal with various uncertainties that can be expressed as fuzzy numbers, probability distributions and discrete intervals. The developed IFTEM is then applied to a hypothetical regional energy system. The results indicate that the IFTEM has advantages in reflecting complexities of various system uncertainties as well as dealing with two-stage stochastic decision problems within energy systems. |
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| Keywords: | Energy systems planning Interval-fuzzy Two-stage optimization |
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