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Browsing Student Centres and Services by Author "Chen, Yumin"

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    ItemOpen Access
    An Inexact Programming Model for Regional Energy Systems Planning and GHG-Emission Control
    (University of Regina Graduate Students' Association, 2011-04-01) Li, Gongchen; Chen, Yumin
    A regional energy system consists of diverse forms of energy. Energy-related issues such as utilization of renewable energy and reduction of green house gas (GHG) emission are confronting decision makers. Meanwhile, various uncertainties and dynamics of the energy system are posing difficulties for the energy system planning, especially for those under multiple stages. In this study, an interval multi-stage stochastic programming regional energy systems planning model (IMSPREM) was developed for supporting regional energy systems management and green house gas control under uncertainty. The IMSP-REM is a hybrid methodology of inexact optimization and multi-stage stochastic programming. It can not only handle uncertainties presented as intervals and probability density functions, but also reflect dynamics of system conditions over multiple planning stages. The developed IMSPREM was applied to a hypothetical regional energy system. The results indicate that the IMSP-REM can effectively reflect issues of GHG reduction and renewable energy utilization within an energy systems planning framework. In addition, the model has advantages in incorporating multiple uncertainties and dynamics within energy management systems.
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    ItemOpen Access
    Integrated Goal Programming for Water Resource Management and Water Pollution Control under Uncertainty
    (University of Regina Graduate Students' Association, 2011-04-01) Chen, Yumin; Li, Gongchen
    In this study, an integrated inexact fuzzy chance-constrained goal programming (IFCCGP) approach is proposed for water resource management and effluent control at regional scale under uncertainty. IFCCGP integrated the interval programming (IP), fuzzy programming (FP), chance-constrained programming (CCP) within the goal programming framework. IFCCGP adopted lexicographic goal programming to deal with the preemptive water resource management priorities of different goals from different sectors. IFCCGP incorporated the CCP in its optimization process to analyze different streamflow scenarios and three typical scenarios were discussed. In this case, IFCCGP was applied to a water resource management system with multiple users, which means multiple water withdrawal sites and effluent discharge sites, within a region. Solutions from IFCCGP can provide water allocation patterns that lexicographically optimize the water resource management goals from different aspects according to their preemptive priorities, minimizing their deviation respectively. The reasonable solutions were generated for decision variables, with the optimal membership functions for the goals which represented the satisfaction levels of the goals. Thus a number of decision alternatives can be generated under different streamflow levels. This approach can provide decision makers the desired alternatives with acceptable satisfaction levels. The proposed approach can deal with practical problems associated with variety of uncertain information.